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Publications

Books

Jiang, J, Wen, S, Liu, B, Yu, S, Xiang, Y & Zhou, W 2019, Malicious Attack Propagation and Source Identification, Springer International Publishing, Dwitzerland.
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Chapters

Ahamed, S, Madan, P & Singh, AK 2019, 'Transhumanism in India: Past, Present and the Future' in Lee, N (ed), The Transhumanism Handbook, Springer, Switzerland, pp. 701-714.
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Alshehri, M, Hussain, F, Elkhodr, M & Alsinglawi, B 2019, 'A Distributed Trust Management Model for the Internet of Things (DTM-IoT)' in Recent Trends and Advances in Wireless and IoT-enabled Networks, Springer, Switzerland, pp. 1-10.
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Alsinglawi, BS, Nguyen, QV, Gunawardana, U, Simoff, S, Maeder, A, Elkhodr, M & Alshehri, M 2019, 'Passive RFID Localization in the Internet of Things' in Recent Trends and Advances in Wireless and IoT-enabled Networks, Springer, Switzerland, pp. 73-81.
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Anaissi, A & Goyal, M 2019, 'Blending Association Rules for Knowledge Discovery in Big Data' in Enabling Technologies and Architectures for Next-Generation Networking Capabilities, IGI Global, USA, pp. 254-271.
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Chalup, S, Suthakorn, J, Niemueller, T & Williams, MA 2019, 'Preface', pp. v-vi.

Dasgupta, A, Gill, A & Hussain, F 2019, 'Privacy of IoT-Enabled Smart Home Systems' in IoT and Smart Home Automation, IntechOpen, USA.
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Fang, X, Jian, X, Liu, B, Gui, L, Qiu, M & Shi, Z 2019, 'Channel estimation over doubly selective channels based on basis expansion model and compressive sensing' in Digital TV and Multimedia Communication, Springer, Switzerland, pp. 299-311.
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Goyal, M 2019, 'Genome Databases and Browsers for Cancer' in Reference Module in Life SciencesEncyclopedia of Bioinformatics and Computational Biology, pp. 1077-1082.
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Jiang, J, Wen, S, Liu, B, Yu, S, Xiang, Y & Zhou, W 2019, 'Preface', pp. v-vi.

Jiang, J, Wen, S, Yu, S, Liu, B, Xiang, Y & Zhou, W 2019, 'Identifying multiple propagation sources' in Advances in Information Security, pp. 139-157.
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Jiang, J, Wen, S, Yu, S, Liu, B, Xiang, Y & Zhou, W 2019, 'Identifying propagation source in time-varying networks' in Advances in Information Security, pp. 117-137.
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Jiang, J, Wen, S, Yu, S, Liu, B, Xiang, Y & Zhou, W 2019, 'Introduction', pp. 1-8.
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Jiang, J, Wen, S, Yu, S, Liu, B, Xiang, Y & Zhou, W 2019, 'Preliminary of identifying propagation sources' in Advances in Information Security, pp. 65-67.
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Jiang, J, Wen, S, Yu, S, Liu, B, Xiang, Y & Zhou, W 2019, 'Preliminary of modeling malicious attack propagation' in Advances in Information Security, pp. 11-19.
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Jiang, J, Wen, S, Yu, S, Liu, B, Xiang, Y & Zhou, W 2019, 'Restrain malicious attack propagation' in Advances in Information Security, pp. 41-62.
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LU, S, Oberst, S, Zhang, G & Luo, Z 2019, 'Novel order patterns recurrence plot-based quantification measures to unveil deterministic dynamics from stochastic processes' in Valenzuela, O, Rojas, F, Pomares, H & Rojas, I (eds), Theory and Applications of Time Series Analysis, Springer International Publishing, Cham, Switzerland, pp. 57-70.
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Mathieson, L & Moscato, P 2019, 'An Introduction to Proximity Graphs' in Moscato, P & de Vries, NJ (eds), Business and Consumer Analytics: New Ideas, Springer International Publishing, Germany, pp. 213-233.
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Mathieson, L, de Vries, NJ & Moscato, P 2019, 'Using Network Alignment to Identify Conserved Consumer Behaviour Modelling Constructs' in Moscato, P & de Vries, NJ (eds), Business and Consumer Analytics: New Ideas, Springer International Publishing, pp. 513-541.
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Moscato, P & Mathieson, L 2019, 'Memetic Algorithms for Business Analytics and Data Science: A Brief Survey' in Moscato, P & de Vries, NJ (eds), Business and Consumer Analytics: New Ideas, Springer International Publishing, Switzerland, pp. 545-608.
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Oberst, S, Lai, JCS & Evans, TA 2019, 'Physical Basis of Vibrational Behaviour: Channel Properties, Noise and Excitation Signal Extraction' in Hill, PSM, Lakes-Harlan, R, Mazzoni, V, Narins, PM, Virant-Doberlet, M & Wessel, A (eds), Biotremology: Studying Vibrational Behavior, Springer International Publishing, Switzerland, pp. 53-78.
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Yin, Z, Liu, W & Chawla, S 2019, 'Adversarial Attack, Defense, and Applications with Deep Learning Frameworks' in Alazab, M & Tang, M (eds), Deep Learning Applications for Cyber Security, Springer, Germany, pp. 1-25.
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Zuo, H, Zhang, G & Lu, J 2019, 'Fuzzy Transfer Learning in Heterogeneous Space Using Takagi-Sugeno Fuzzy Models' in Fuzzy Techniques: Theory and Applications, Springer, Switzerland, pp. 752-763.
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Journal articles

Abidi, S, Piccardi, M, Tsang, WH & Williams, M-A 2019, 'Well-M³N: A Maximum-Margin Approach to Unsupervised Structured Prediction', IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 3, no. 6, pp. 427-439.
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Adak, C, Chaudhuri, BB & Blumenstein, M 2019, 'An Empirical Study on Writer Identification and Verification From Intra-Variable Individual Handwriting', IEEE ACCESS, vol. 7, pp. 24738-24758.
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Agarwal, A, Dowsley, R, McKinney, ND, Wu, D, Lin, C-T, De Cock, M & Nascimento, ACA 2019, 'Protecting Privacy of Users in Brain-Computer Interface Applications.', IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society, vol. 27, no. 8, pp. 1546-1555.
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Ajuyah, P, Hill, M, Ahadi, A, Lu, J, Hutvagner, G & Tran, N 2019, 'MicroRNA (miRNA)-to-miRNA Regulation of Programmed Cell Death 4 (PDCD4).', Molecular and Cellular Biology, vol. 39, no. 18.
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Alderighi, T, Malomo, L, Giorgi, D, Bickel, B, Cignoni, P & Pietroni, N 2019, 'Volume-aware design of composite molds', ACM Transactions on Graphics, vol. 38, no. 4.
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Aliyu, A, El-Sayed, H, Abdullah, AH, Alam, I, Li, J & Prasad, M 2019, 'Video streaming in urban vehicular environments: Junction-aware multipath approach', Electronics (Switzerland), vol. 8, no. 11.
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Alshehri, MD & Hussain, FK 2019, 'A fuzzy security protocol for trust management in the internet of things (Fuzzy-IoT)', Computing, vol. 101, pp. 791-818.
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Altaee, A, Braytee, A, Millar, GJ & Naji, O 2019, 'Energy efficiency of hollow fibre membrane module in the forward osmosis seawater desalination process', JOURNAL OF MEMBRANE SCIENCE, vol. 587.
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Altulyan, M, Yao, L, Kanhere, SS, Wang, X & Huang, C 2019, 'A unified framework for data integrity protection in people-centric smart cities', Multimedia Tools and Applications.
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Aravanis, T, Peppas, P & Williams, MA 2019, 'An investigation of parametrized difference revision operators', Annals of Mathematics and Artificial Intelligence.
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Aravanis, TI, Peppas, P & Williams, MA 2019, 'Full characterization of Parikh's Relevance-Sensitive Axiom for Belief Revision', Journal of Artificial Intelligence Research, vol. 66, pp. 765-792.
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Bennett, J, Froggett, L, Kenning, G, Manley, J & Muller, L 2019, 'Memory Loss and Scenic Experience: An Arts Based Investigation', Forum : Qualitative Social Research, vol. 20, no. 1.
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Bharill, N, Patel, OP, Tiwari, A, Mu, L, Li, D-L, Mohanty, M, Kaiwartya, O & Prasad, M 2019, 'A Generalized Enhanced Quantum Fuzzy Approach for Efficient Data Clustering', IEEE ACCESS, vol. 7, pp. 50347-50361.
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Bou Ghantous, G & Gill, A 2019, 'An Agile-DevOps Reference Architecture for Teaching Enterprise Agile', International Journal of Learning, Teaching and Educational Research, vol. 18, no. 7, pp. 128-144.
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Bracci, M, Tarini, M, Pietroni, N, Livesu, M & Cignoni, P 2019, 'HexaLab. net: an online viewer for hexahedral meshes', Computer-Aided Design, vol. 1110, pp. 24-36.
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Braytee, A, Liu, W, Anaissi, A & Kennedy, PJ 2019, 'Correlated Multi-label Classification with Incomplete Label Space and Class Imbalance', ACM Transactions on Intelligent Systems and Technology (TIST), vol. 10, no. 5.

Brown, P, RELISH Consortium & Zhou, Y 2019, 'Large expert-curated database for benchmarking document similarity in biomedical literature search', Database: the journal of biological databases and curation, vol. 2019, pp. 1-66.
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Buyya, R, Srirama, SN, Casale, G, Calheiros, R, Simmhan, Y, Varghese, B, Gelenbe, E, Javadi, B, Vaquero, LM, Netto, MAS, Toosi, AN, Rodriguez, MA, Llorente, IM, De Capitani Di Vimercati, S, Samarati, P, Milojicic, D, Varela, C, Bahsoon, R, Dias De Assuncao, M, Rana, O, Zhou, W, Jin, H, Gentzsch, W, Zomaya, AY & Shen, H 2019, 'A manifesto for future generation cloud computing: Research directions for the next decade', ACM Computing Surveys, vol. 51, no. 5.
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CAO, X, Qiu, B & Xu, G 2019, 'BorderShift: toward optimal MeanShift vector for cluster boundary detection in high-dimensional data', Pattern Analysis and Applications, vol. 22, no. 3, pp. 1015-1027.
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Cao, X, Qiu, B, Li, X, Shi, Z, Xu, G & Xu, J 2019, 'Multidimensional Balance-Based Cluster Boundary Detection for High-Dimensional Data', IEEE Transactions on Neural Networks and Learning Systems, vol. 30, no. 6, pp. 1867-1880.
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Cao, Y, Romero, J, Olson, JP, Degroote, M, Johnson, PD, Kieferová, M, Kivlichan, ID, Menke, T, Peropadre, B, Sawaya, NPD, Sim, S, Veis, L & Aspuru-Guzik, A 2019, 'Quantum Chemistry in the Age of Quantum Computing', Chemical Reviews, vol. 119, no. 19.
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Cao, Z, Chuang, C-H, King, J-K & Lin, C-T 2019, 'Multi-channel EEG recordings during a sustained-attention driving task.', Scientific data, vol. 6, no. 1.
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Cao, Z, Lin, CT, Ding, W, Chen, MH, Li, CT & Su, TP 2019, 'Identifying Ketamine Responses in Treatment-Resistant Depression Using a Wearable Forehead EEG', IEEE Transactions on Biomedical Engineering, vol. 66, no. 6, pp. 1668-1679.
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Chacon, D, Braytee, A, Huang, Y, Thoms, J, Subramanian, S, Sauerland, MC, Bohlander, SK, Braess, J, Wörmann, BJ, Berdel, WE, Hiddemann, W, Gabrys, B, Metzeler, KH, Herold, T, Pimanda, J & Beck, D 2019, 'Prospective Identification of Acute Myeloid Leukemia Patients Who Benefit from Gene-Expression Based Risk Stratification', Blood, vol. 134, no. Supplement_1, pp. 1397-1397.
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Chen, CS & Chen, SK 2019, 'Synchronization of tool tip trajectory and attitude based on the surface characteristics of workpiece for 6-DOF robot manipulator', Robotics and Computer-Integrated Manufacturing, vol. 59, pp. 13-27.
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Chen, CS, Chen, SK & Chen, LY 2019, 'Disturbance Observer-Based Modeling and Parameter Identification for Synchronous Dual-Drive Ball Screw Gantry Stage', IEEE/ASME Transactions on Mechatronics, vol. 24, no. 6, pp. 2839-2849.
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CHEN, J, SU, S & WANG, X 2019, 'Towards Privacy-Preserving Location Sharing over Mobile Online Social Networks', IEICE TRANSACTIONS on Information and Systems, vol. 102, pp. 133-146.
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Chen, S, Wang, Y, Lin, CT, Ding, W & Cao, Z 2019, 'Semi-supervised feature learning for improving writer identification', Information Sciences, vol. 482, pp. 156-170.
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Chen, Z, Li, J & You, X 2019, 'Learn to focus on objects for visual detection', Neurocomputing, vol. 348, pp. 27-39.
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Cheng, C, Xiao, F & Cao, Z 2019, 'A New Distance for Intuitionistic Fuzzy Sets Based on Similarity Matrix', IEEE ACCESS, vol. 7, pp. 70436-70446.
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Cheng, EJ, Chou, KP, Rajora, S, Jin, BH, Tanveer, M, Lin, CT, Young, KY, Lin, WC & Prasad, M 2019, 'Deep Sparse Representation Classifier for facial recognition and detection system', Pattern Recognition Letters, vol. 125, pp. 71-77.
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Cheng, EJ, Young, KY & Lin, CT 2019, 'Temporal EEG imaging for drowsy driving prediction', Applied Sciences (Switzerland), vol. 9, no. 23.
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Chivukula, A & Liu, W 2019, 'Adversarial Deep Learning Models with Multiple Adversaries', IEEE Transactions on Knowledge and Data Engineering, vol. 31, no. 6, pp. 1066-1079.
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Cutler, RL, Torres-Robles, A, Wiecek, E, Drake, B, Van der Linden, N, Benrimoj, SIC & Garcia-Cardenas, V 2019, 'Pharmacist-led medication non-adherence intervention: reducing the economic burden placed on the Australian health care system.', Patient Preference and Adherence, vol. 13, pp. 853-862.
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Daniel, J, Naderpour, M & Lin, CT 2019, 'A Fuzzy Multilayer Assessment Method for EFQM', IEEE Transactions on Fuzzy Systems, vol. 27, no. 6, pp. 1252-1262.
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Ding, W, Lin, C-T & Cao, Z 2019, 'Deep Neuro-Cognitive Co-Evolution for Fuzzy Attribute Reduction by Quantum Leaping PSO With Nearest-Neighbor Memeplexes.', IEEE Transactions on Cybernetics, vol. 49, no. 7, pp. 2744-2757.
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Ding, W, Lin, C-T & Cao, Z 2019, 'Shared Nearest-Neighbor Quantum Game-Based Attribute Reduction With Hierarchical Coevolutionary Spark and Its Application in Consistent Segmentation of Neonatal Cerebral Cortical Surfaces.', IEEE Transactions on Neural Networks and Learning Systems, vol. 30, no. 7, pp. 2013-2027.
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Do, T-TN, Chuang, C-H, Hsiao, S-J, Lin, C-T & Wang, Y-K 2019, 'Neural Comodulation of Independent Brain Processes Related to Multitasking.', IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society, vol. 27, no. 6, pp. 1160-1169.
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Fan, X, Li, C, Yuan, X, Dong, X & Liang, J 2019, 'An interactive visual analytics approach for network anomaly detection through smart labeling', Journal of Visualization, vol. 22, no. 5, pp. 955-971.
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Fang, XS, Sheng, QZ, Wang, X, Chu, D & Ngu, AHH 2019, 'SmartVote: a full-fledged graph-based model for multi-valued truth discovery', World Wide Web, vol. 22, no. 4, pp. 1855-1885.
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Fu, C, Liu, XY, Yang, J, Yang, LT, Yu, S & Zhu, T 2019, 'Wormhole: The Hidden Virus Propagation Power of the Search Engine in Social Networks', IEEE Transactions on Dependable and Secure Computing, vol. 16, no. 4, pp. 693-710.
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Garcia, JA 2019, 'A virtual reality game-like tool for assessing the risk of falling in the elderly', Studies in Health Technology and Informatics, vol. 266, pp. 63-69.
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Gay, VC, Garcia, JA & Leong, TW 2019, 'Using asynchronous exergames to encourage an active ageing lifestyle: Solitaire fitness study protocol', Studies in Health Technology and Informatics, vol. 266, pp. 70-75.
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Gill, AQ & Chew, E 2019, 'Configuration information system architecture: Insights from applied action design research', Information and Management, vol. 56, no. 4, pp. 507-525.
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Guo, D, Wang, Q, Liang, M, Liu, W & Nie, J 2019, 'Molecular Cavity Topological Representation for Pattern Analysis: A NLP Analogy-Based Word2Vec Method.', International journal of molecular sciences, vol. 20, no. 23.
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Gupta, D, Pratama, M, Ma, Z, Li, J & Prasad, M 2019, 'Financial time series forecasting using twin support vector regression.', PloS one, vol. 14, no. 3.
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Halasi, Z, Maróti, A, Pyber, L & Qiao, Y 2019, 'An improved diameter bound for finite simple groups of Lie type', Bulletin of the London Mathematical Society, vol. 51, no. 4, pp. 645-657.
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Han, B, Tsang, IW, Chen, L, Zhou, JT & Yu, CP 2019, 'Beyond Majority Voting: A Coarse-to-Fine Label Filtration for Heavily Noisy Labels.', IEEE Transactions on Neural Networks and Learning Systems, vol. 30, no. 12, pp. 3774-3787.
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Hao, P, Zhang, G, Martinez, L & Lu, J 2019, 'Regularizing Knowledge Transfer in Recommendation With Tag-Inferred Correlation', IEEE Transactions on Cybernetics.
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Hesamian, MH, Jia, W, He, X & Kennedy, P 2019, 'Deep Learning Techniques for Medical Image Segmentation: Achievements and Challenges.', Journal of Digital Imaging, vol. 32, no. 4, pp. 582-596.
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Hua, J, Huang, M & Huang, C 2019, 'Centrality Metrics’ Performance Comparisons on Stock Market Datasets', Symmetry, vol. 11, no. 7.
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Hua, J, Huang, M, Huang, W & Zhao, C 2019, 'Applying Graph Centrality Metrics in Visual Analytics of Scientific Standard Datasets', Symmetry, vol. 11, no. 1, pp. 30-30.
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Huang, K-C, Chuang, C-H, Wang, Y-K, Hsieh, C-Y, King, J-T & Lin, C-T 2019, 'The effects of different fatigue levels on brain-behavior relationships in driving.', Brain and behavior, vol. 9, no. 12.
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Islam, MR, Lu, H, Hossain, J & Li, L 2019, 'Mitigating unbalance using distributed network reconfiguration techniques in distributed power generation grids with services for electric vehicles: A review', Journal of Cleaner Production, vol. 239.
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Ivanyos, G & Qiao, Y 2019, 'Algorithms based on *-algebras, and their applications to isomorphism of polynomials with one secret, group isomorphism, and polynomial identity testing', SIAM Journal on Computing, vol. 48, no. 3, pp. 926-963.
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Jhang, JY, Lin, CJ, Young, KY & Lin, CT 2019, 'A hybrid of fuzzy theory and quadratic function for estimating and refining transmission map', Turkish Journal of Electrical Engineering and Computer Sciences, vol. 27, no. 5, pp. 3791-3803.
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Jiang, P, Wang, B, Li, H & Lu, H 2019, 'Modeling for chaotic time series based on linear and nonlinear framework: Application to wind speed forecasting', Energy, vol. 173, pp. 468-482.
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Kenning, G 2019, 'Chronic health: if not us then who? A review of an exhibition exploring the assistive, speculative, provocative and challenging role of design for health — Embassy of Health, Dutch Design Week', Design for Health, vol. 3, no. 1, pp. 162-179.
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Kieferova, M, Scherer, A & Berry, DW 2019, 'Simulating the dynamics of time-dependent Hamiltonians with a truncated Dyson series', PHYSICAL REVIEW A, vol. 99, no. 4.
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Ko, LW, Lu, YC, Bustince, H, Chang, YC, Chang, Y, Ferandez, J, Wang, YK, Sanz, JA, Pereira Dimuro, G & Lin, CT 2019, 'Multimodal fuzzy fusion for enhancing the motor-imagery-based brain computer interface', IEEE Computational Intelligence Magazine, vol. 14, no. 1, pp. 96-106.
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Kocaballi, AB, Berkovsky, S, Quiroz, JC, Laranjo, L, Tong, HL, Rezazadegan, D, Briatore, A & Coiera, E 2019, 'The Personalization of Conversational Agents in Health Care: Systematic Review.', Journal of medical Internet research, vol. 21, no. 11.
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Kocaballi, AB, Coiera, E, Tong, HL, White, SJ, Quiroz, JC, Rezazadegan, F, Willcock, S & Laranjo, L 2019, 'A network model of activities in primary care consultations', JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, vol. 26, no. 10, pp. 1074-1082.
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Kocaballi, AB, Laranjo, L & Coiera, E 2019, 'Understanding and Measuring User Experience in Conversational Interfaces', INTERACTING WITH COMPUTERS, vol. 31, no. 2, pp. 192-207.
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Krivtsov, AV, Evans, K, Gadrey, JY, Eschle, BK, Hatton, C, Uckelmann, HJ, Ross, KN, Perner, F, Olsen, SN, Pritchard, T, McDermott, L, Jones, CD, Jing, D, Braytee, A, Chacon, D, Earley, E, McKeever, BM, Claremon, D, Gifford, AJ, Lee, HJ, Teicher, BA, Pimanda, JE, Beck, D, Perry, JA, Smith, MA, McGeehan, GM, Lock, RB & Armstrong, SA 2019, 'A Menin-MLL Inhibitor Induces Specific Chromatin Changes and Eradicates Disease in Models of MLL-Rearranged Leukemia.', Cancer cell, vol. 36, no. 6, pp. 660-673.
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Li, B, Xiong, J, Liu, B, Gui, L, Qiu, M & Shi, Z 2019, 'Cache-Based Popular Services Pushing on High-Speed Train by Using Converged Broadcasting and Cellular Networks', IEEE Transactions on Broadcasting, vol. 65, no. 3, pp. 577-588.
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Li, D, Ye, D, Gao, N & Wang, S 2019, 'Service selection with qos correlations in distributed service-based systems', IEEE Access, vol. 7, pp. 88718-88732.
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Li, H, Wang, J, Li, R & Lu, H 2019, 'Novel analysis–forecast system based on multi-objective optimization for air quality index', Journal of Cleaner Production, vol. 208, pp. 1365-1383.
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Li, M, Sun, Y, Su, S, Tian, Z, Wang, Y & Wang, X 2019, 'DPIF: A framework for distinguishing unintentional quality problems from potential shilling attacks', Computers, Materials and Continua, vol. 59, no. 1, pp. 331-344.
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Li, Q, Cao, Z, Zhong, J & Li, Q 2019, 'Graph representation learning with encoding edges', Neurocomputing, vol. 361, pp. 29-39.
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Li, Q, Zhong, J, Li, Q, Wang, C & Cao, Z 2019, 'A community merger of optimization algorithm to extract overlapping communities in networks', IEEE Access, vol. 7, pp. 3994-4005.
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Li, W, Qiao, M, Qin, L, Zhang, Y, Chang, L & Lin, X 2019, 'Eccentricities on small-world networks', VLDB Journal, vol. 28, no. 5, pp. 765-792.
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Li, YN, Zhang, K, Hu, DN & Huang, ML 2019, 'The influence of edge bundling on visual information search', Information Sciences, vol. 495, pp. 234-246.
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Li, Z, Xiong, F, Wang, X, Chen, H & Xiong, X 2019, 'Topological Influence-Aware Recommendation on Social Networks', Complexity, vol. 2019, pp. 1-12.
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Liang, H, Wang, H, Li, Q, Wang, J, Xu, G, Chen, J, Wei, JM & Yang, Z 2019, 'A general framework for learning prosodic-enhanced representation of rap lyrics', World Wide Web, vol. 22, no. 6, pp. 2267-2289.
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Liang, J, Zhang, Y, Zhong, JH & Yang, H 2019, 'A novel multi-segment feature fusion based fault classification approach for rotating machinery', Mechanical Systems and Signal Processing, vol. 122, pp. 19-41.
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Liang, T, Chen, L, Wu, J, Xu, G & Wu, Z 2019, 'SMS: A Framework for Service Discovery by Incorporating Social Media Information', IEEE Transactions on Services Computing, vol. 12, no. 3, pp. 384-397.
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Lin, A, Li, J & Ma, Z 2019, 'On Learning and Learned Data Representation by Capsule Networks', IEEE Access, vol. 7, pp. 50808-50822.
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Lin, CT, Chiu, C-Y, Singh, AK, King, J-T & Wang, YK 2019, 'A Wireless Multifunctional SSVEP-Based Brain Computer Interface Assistive System', IEEE Transactions on Cognitive and Developmental Systems, vol. 11, no. 3.
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Lin, CT, King, JT, Bharadwaj, P, Chen, CH, Gupta, A, Ding, W & Prasad, M 2019, 'EOG-Based Eye Movement Classification and Application on HCI Baseball Game', IEEE Access, vol. 7, pp. 96166-96176.
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Lin, C-T, Liu, C-H, Wang, P-S, King, J-T & Liao, L-D 2019, 'Design and Verification of a Dry Sensor-Based Multi-Channel Digital Active Circuit for Human Brain Electroencephalography Signal Acquisition Systems.', Micromachines, vol. 10, no. 11.
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Liu, B, Chen, L, Zhu, X & Qiu, W 2019, 'Encrypted data indexing for the secure outsourcing of spectral clustering', Knowledge and Information Systems, vol. 60, no. 3, pp. 1307-1328.
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Liu, J, Ma, J, Xiang, Y, Zhou, W & Huang, X 2019, 'Authenticated Medical Documents Releasing with Privacy Protection and Release Control', IEEE Transactions on Dependable and Secure Computing.
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Liu, S, Li, Y & Duan, R 2019, 'Distinguishing unitary gates on the IBM quantum processor', Science China Information Sciences, vol. 62, no. 7.
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Liu, XP, Zhang, GQ, Lu, J & Zhang, JQ 2019, 'Risk assessment using transfer learning for grassland fires', Agricultural and Forest Meteorology, vol. 269-270, pp. 102-111.
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Lu, J, Liu, A, Dong, F, Gu, F, Gama, J & Zhang, G 2019, 'Learning under Concept Drift: A Review', IEEE Transactions on Knowledge and Data Engineering, vol. 31, no. 12, pp. 2346-2363.
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Lu, J, Yan, Z, Han, J & Zhang, G 2019, 'Data-Driven Decision-Making (D3M): Framework, Methodology, and Directions', IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 3, no. 4, pp. 286-296.
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Lu, J, Zuo, H & Zhang, G 2019, 'Fuzzy Multiple-source Transfer Learning', IEEE Transactions on Fuzzy Systems, pp. 1-1.
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LU, S, Oberst, S, Zhang, G & Luo, Z 2019, 'Bifurcation analysis of dynamic pricing processes with nonlinear external reference effects', Communications in Nonlinear Science and Numerical Simulation, vol. 79, pp. 104929-104929.
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Luo, M, Yan, C, Zheng, Q, Chang, X, Chen, L & Nie, F 2019, 'Discrete Multi-Graph Clustering', IEEE Transactions on Image Processing, vol. 28, no. 9, pp. 4701-4712.
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Ma, W, Cai, L, He, T, Chen, L, Cao, Z & Li, R 2019, 'Local Expansion and Optimization for Higher-Order Graph Clustering', IEEE Internet of Things Journal, vol. 6, no. 5, pp. 8702-8713.
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Mann, RL & Bremner, MJ 2019, 'Approximation Algorithms for Complex-Valued Ising Models on Bounded Degree Graphs', Quantum, vol. 3.
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Manzoor, M, Hussain, W, Sohaib, O, Hussain, FK & Alkhalaf, S 2019, 'Methodological investigation for enhancing the usability of university websites', Journal of Ambient Intelligence and Humanized Computing, vol. 10, no. 2, pp. 531-549.
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Mao, M, Lu, J, Han, J & Zhang, G 2019, 'Multiobjective e-commerce recommendations based on hypergraph ranking', INFORMATION SCIENCES, vol. 471, pp. 269-287.
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Mashat, MEM, Lin, C-T & Zhang, D 2019, 'Effects of Task Complexity on Motor Imagery-Based Brain-Computer Interface.', IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society, vol. 27, no. 10, pp. 2178-2185.
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Melnikov, A, Chiang, YK, Quan, L, Oberst, S, Alú, A, Marburg, S & Powell, D 2019, 'Acoustic meta-atom with experimentally verified maximum Willis coupling', Nature Communications, vol. 10, pp. 3148-3148.
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Ming, Y, Ding, W, Pelusi, D, Wu, D, Wang, YK, Prasad, M & Lin, CT 2019, 'Subject adaptation network for EEG data analysis', Applied Soft Computing Journal, vol. 84.
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Ming, Y, Lin, C-T, Bartlett, SD & Zhang, W-W 2019, 'Quantum topology identification with deep neural networks and quantum walks', NPJ COMPUTATIONAL MATERIALS, vol. 5.
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Musial, K, Brodka, P & De Meo, P 2019, 'Analysis and Applications of Complex Social Networks 2018', COMPLEXITY.
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Nawaz, F, Hussain, O, Hussain, FK, Janjua, NK, Saberi, M & Chang, E 2019, 'Proactive management of SLA violations by capturing relevant external events in a Cloud of Things environment', Future Generation Computer Systems, vol. 95, pp. 26-44.
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Ng, CK, Jiang, F, Zhang, LY & Zhou, W 2019, 'Static malware clustering using enhanced deep embedding method', Concurrency Computation, vol. 31, no. 19.
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Nuvoli, S, Hernandez, A, Esperança, C, Scateni, R, Cignoni, P & Pietroni, N 2019, 'QuadMixer: Layout preserving blending of qadrilateral meshes', ACM Transactions on Graphics, vol. 38, no. 6.
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Oberst, S, Lenz, M, Lai, JCS & Evans, TA 2019, 'Termites manipulate moisture content of wood to maximise foraging resources', Biology Letters, vol. 15, no. 7.
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Orth, D, Thurgood, C & Van Den Hoven, E 2019, 'Designing meaningful products in the digital age: How users value their technological possessions', ACM Transactions on Computer-Human Interaction, vol. 26, no. 5.
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Paryani, S & Ramadan-Jradi, R 2019, 'The Impact of Flipped Learning on Student Performance and Engagement: A Systematic Literature Review', International Journal on Learning and Teaching, vol. 5, no. 1, pp. 30-37.
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Patel, OP, Bharill, N, Tiwari, A & Prasad, M 2019, 'A Novel Quantum-inspired Fuzzy Based Neural Network for Data Classification', IEEE Transactions on Emerging Topics in Computing.
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Patel, OP, Bharill, N, Tiwari, A, Patel, V, Gupta, O, Cao, J, Li, J & Prasad, M 2019, 'Advanced quantum based neural network classifier and its application for objectionable web content filtering', IEEE Access, vol. 7, pp. 98069-98082.
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Patel, OP, Tiwari, A, Chaudhary, R, Nuthalapati, SV, Bharill, N, Prasad, M, Hussain, FK & Hussain, OK 2019, 'Enhanced quantum-based neural network learning and its application to signature verification', Soft Computing, vol. 23, no. 9, pp. 3067-3080.
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Peng, Y, Zhang, Y, Lin, X, Zhang, W, Qin, L & Zhou, J 2019, 'Towards bridging theory and practice: hop-constrained s-t simple path enumeration', Proceedings of the VLDB Endowment, vol. 13, no. 4, pp. 463-476.
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Qiao, C, Lu, L, Yang, L & Kennedy, PJ 2019, 'Identifying brain abnormalities with schizophrenia based on a hybrid feature selection technology', Applied Sciences (Switzerland), vol. 9, no. 10.
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Qiao, M, Yu, J, Bian, W, Li, Q & Tao, D 2019, 'Adapting Stochastic Block Models to Power-Law Degree Distributions.', IEEE Transactions on Cybernetics, vol. 49, no. 2, pp. 626-637.
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Quiroz, JC, Laranjo, L, Kocaballi, AB, Berkovsky, S, Rezazadegan, D & Coiera, E 2019, 'Challenges of developing a digital scribe to reduce clinical documentation burden.', NPJ digital medicine, vol. 2, p. 114.
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Raeisi, S, Kieferová, M & Mosca, M 2019, 'Novel Technique for Robust Optimal Algorithmic Cooling.', Physical review letters, vol. 122, no. 22, pp. 220501-220501.
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Raza, M, Hussain, FK, Hussain, OK, Zhao, M & Rehman, ZU 2019, 'A comparative analysis of machine learning models for quality pillar assessment of SaaS services by multi-class text classification of users’ reviews', Future Generation Computer Systems, vol. 101, pp. 341-371.
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Razzak, I, Hameed, IA & Xu, G 2019, 'Robust Sparse Representation and Multiclass Support Matrix Machines for the Classification of Motor Imagery EEG Signals', IEEE Journal of Translational Engineering in Health and Medicine, vol. 7.
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Razzak, I, Imran, M & Xu, G 2019, 'Efficient Brain Tumor Segmentation with Multiscale Two-Pathway-Group Conventional Neural Networks', IEEE Journal of Biomedical and Health Informatics, vol. 23, no. 5, pp. 1911-1919.
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Razzak, MI, Blumenstein, M & Xu, G 2019, 'Multiclass Support Matrix Machines by Maximizing the Inter-Class Margin for Single Trial EEG Classification.', IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society, vol. 27, no. 6, pp. 1117-1127.
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Reddy, TK, Arora, V, Behera, L, Wang, YK & Lin, CT 2019, 'Multiclass Fuzzy Time-Delay Common Spatio-Spectral Patterns with Fuzzy Information Theoretic Optimization for EEG-Based Regression Problems in Brain-Computer Interface (BCI)', IEEE Transactions on Fuzzy Systems, vol. 27, no. 10, pp. 1943-1951.
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Reddy, TK, Arora, V, Kumar, S, Behera, L, Wang, Y-K & Lin, C-T 2019, 'Electroencephalogram Based Reaction Time Prediction With Differential Phase Synchrony Representations Using Co-Operative Multi-Task Deep Neural Networks', IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 3, no. 5, pp. 369-379.
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Saeed, Z, Abbasi, RA, Maqbool, O, Sadaf, A, Razzak, I, Daud, A, Aljohani, NR & Xu, G 2019, 'What’s Happening Around the World? A Survey and Framework on Event Detection Techniques on Twitter', Journal of Grid Computing, vol. 17, no. 2, pp. 279-312.
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Saeed, Z, Abbasi, RA, Razzak, I, Maqbool, O, Sadaf, A & Xu, G 2019, 'Enhanced Heartbeat Graph for emerging event detection on Twitter using time series networks', Expert Systems with Applications, vol. 136, pp. 115-132.
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Saeed, Z, Ayaz Abbasi, R, Razzak, MI & Xu, G 2019, 'Event Detection in Twitter Stream Using Weighted Dynamic Heartbeat Graph Approach', IEEE Computational Intelligence Magazine, vol. 14, no. 3, pp. 29-38.
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Salamai, A, Hussain, OK, Saberi, M, Chang, E & Hussain, FK 2019, 'Highlighting the Importance of Considering the Impacts of Both External and Internal Risk Factors on Operational Parameters to Improve Supply Chain Risk Management', IEEE Access, vol. 7, pp. 49297-49315.
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Samaras, E & Johnston, A 2019, 'Off-Lining to Tape Is Not Archiving: Why We Need Real Archiving to Support Media Archaeology and Ensure Our Visual Effects Legacy Thrives', Leonardo, vol. 52, no. 4, pp. 374-380.
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Saqib, M, Khan, SD, Sharma, N & Blumenstein, M 2019, 'Crowd Counting in Low-Resolution Crowded Scenes Using Region-Based Deep Convolutional Neural Networks', IEEE Access, vol. 7, pp. 35317-35329.
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Sarker, PC, Islam, MR, Guo, Y, Zhu, J & Lu, HY 2019, 'State-of-The-Art Technologies for Development of High Frequency Transformers with Advanced Magnetic Materials', IEEE Transactions on Applied Superconductivity, vol. 29, no. 2.
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Stender, M, Oberst, S & Hoffmann, N 2019, 'Recovery of Differential Equations from Impulse Response Time Series Data for Model Identification and Feature Extraction', Vibration, vol. 2, no. 1, pp. 25-46.
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Stender, M, Oberst, S, Tiedemann, M & Hoffmann, N 2019, 'Complex machine dynamics: systematic recurrence quantification analysis of disk brake vibration data', Nonlinear Dynamics, vol. 97, no. 4, pp. 2483-2497.
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Stephenson, MD, Lisy, K, Stern, CJ, Feyer, AM, Fisher, L & Aromataris, EC 2019, 'The impact of integrated care for people with chronic conditions on hospital and emergency department utilization: A rapid review', International Journal of Evidence-Based Healthcare, vol. 17, no. 1, pp. 14-26.
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Sun, L, Dong, H, Hussain, OK, Hussain, FK & Liu, AX 2019, 'A framework of cloud service selection with criteria interactions', Future Generation Computer Systems: the international journal of grid computing: theory, methods and applications, vol. 94, pp. 749-764.
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Sun, Y, Tian, Z, Wang, Y, Li, M, Su, S, Wang, X & Fan, D 2019, 'Lightweight Anonymous Geometric Routing for Internet of Things', IEEE ACCESS, vol. 7, pp. 29754-29762.
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Talaei-Khoei, A & Wilson, JM 2019, 'Using time-series analysis to predict disease counts with structural trend changes', Information Processing and Management, vol. 56, no. 3, pp. 674-686.
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Talaei-Khoei, A, Tavana, M & Wilson, JM 2019, 'A predictive analytics framework for identifying patients at risk of developing multiple medical complications caused by chronic diseases', ARTIFICIAL INTELLIGENCE IN MEDICINE, vol. 101.
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Talaei-Khoei, A, Wilson, JM & Kazemi, S-F 2019, 'Period of Measurement in Time-Series Predictions of Disease Counts from 2007 to 2017 in Northern Nevada: Analytics Experiment.', JMIR public health and surveillance, vol. 5, no. 1.
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Torres Robles, A, Wiecek, E, Cutler, R, Drake, B, Benrimoj, SI, Fernandez-Llimos, F & Garcia Cardenas, M 2019, 'Using dispensing data to evaluate adherence implementation rates in community pharmacy', Frontiers in Pharmacology, vol. 10.
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Treadaway, C, Fennell, J, Taylor, A & Kenning, G 2019, 'Designing for playfulness through compassion: design for advanced dementia', Design for Health, vol. 3, no. 1, pp. 27-47.
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van Rijmenam, M, Erekhinskaya, T, Schweitzer, J & Williams, MA 2019, 'Avoid being the turkey: How big data analytics changes the game of strategy in times of ambiguity and uncertainty', Long Range Planning, vol. 52, no. 5.
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Vincent Poor, H, Shi, Y, Tuan, HD, Savkin, AV & Duong, TQ 2019, 'Model predictive control for smart grids with multiple electric-vehicle charging stations', IEEE Transactions on Smart Grid, vol. 10, no. 2, pp. 2127-2136.
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Vo, K, Jonnagaddala, J & Liaw, ST 2019, 'Statistical supervised meta-ensemble algorithm for medical record linkage', Journal of Biomedical Informatics, vol. 95.
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Vo, NNY, He, X, Liu, S & Xu, G 2019, 'Deep learning for decision making and the optimization of socially responsible investments and portfolio', Decision Support Systems, vol. 124.
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Wahid-Ul-Ashraf, A, Budka, M & Musial, K 2019, 'How to predict social relationships — Physics-inspired approach to link prediction', Physica A: Statistical Mechanics and its Applications, vol. 523, pp. 1110-1129.
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Wakefield, J, Tyler, J, Dyson, LE & Frawley, JK 2019, 'Implications of student-generated screencasts on final examination performance', Accounting and Finance, vol. 59, no. 2, pp. 1415-1446.
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Wang, D, Wu, T, Wen, S, Chen, X, Xiang, Y & Zhou, W 2019, 'STC: Exposing Hidden Compromised Devices in Networked Sustainable Green Smart Computing Platforms by Partial Observation', IEEE Transactions on Sustainable Computing, vol. 4, no. 2, pp. 178-190.
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Wang, G, Zhang, G, Choi, KS & Lu, J 2019, 'Deep Additive Least Squares Support Vector Machines for Classification With Model Transfer', IEEE Transactions on Systems Man and Cybernetics: Systems, vol. 49, no. 7, pp. 1527-1540.
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Wang, J, Zhang, N & Lu, H 2019, 'A novel system based on neural networks with linear combination framework for wind speed forecasting', Energy Conversion and Management, vol. 181, pp. 425-442.
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Wang, K, Lin, X, Qin, L, Zhang, W & Zhang, Y 2019, 'Vertex priority based butterfly counting for large-scale bipartite networks', Proceedings of the VLDB Endowment, vol. 12, no. 10, pp. 1139-1152.
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Wang, W, Zhang, G & Lu, J 2019, 'Hierarchy Visualization for Group Recommender Systems', IEEE Transactions on Systems Man and Cybernetics: Systems, vol. 49, no. 6, pp. 1152-1163.
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Wang, X, Liu, Y, Lu, J, Xiong, F & Zhang, G 2019, 'TruGRC: Trust-Aware Group Recommendation with Virtual Coordinators', FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, vol. 94, pp. 224-236.
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Wang, X, Qin, L, Lin, X, Zhang, Y & Chang, L 2019, 'Leveraging set relations in exact and dynamic set similarity join', VLDB Journal, vol. 28, pp. 267-292.
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Wang, Y, Feng, C, Chen, L, Yin, H, Guo, C & Chu, Y 2019, 'User identity linkage across social networks via linked heterogeneous network embedding', World Wide Web, vol. 22, pp. 2611-2632.
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Wang, Y, Sun, Y, Su, S, Tian, Z, Li, M, Qiu, J & Wang, X 2019, 'Location privacy in device-dependent location-based services: Challenges and solution', Computers, Materials and Continua, vol. 59, no. 3, pp. 983-993.
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Wen, D, Qin, L, Zhang, Y, Chang, L & Lin, X 2019, 'Efficient structural graph clustering: an index-based approach', VLDB Journal, vol. 28, no. 3, pp. 377-399.
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Wen, D, Qin, L, Zhang, Y, Lin, X & Yu, JX 2019, 'I/O Efficient Core Graph Decomposition: Application to Degeneracy Ordering', IEEE Transactions on Knowledge and Data Engineering, vol. 31, no. 1, pp. 75-90.
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Williams, MA 2019, 'The Artificial Intelligence race: Will Australia lead or lose?', Journal and Proceedings of the Royal Society of New South Wales, vol. 152, no. 1, pp. 105-114.
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Wu, D, Lin, C-T & Huang, J 2019, 'Active learning for regression using greedy sampling', Information Sciences, vol. 474, pp. 90-105.
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Wu, W, Li, B, Chen, L, Zhang, C & Yu, P 2019, 'Improved Consistent Weighted Sampling Revisited', IEEE Transactions on Knowledge and Data Engineering, vol. 31, no. 12, pp. 2232-2345.
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Wu, Y, Hou, J, Liu, J, Zhou, W & Yao, S 2019, 'Novel Multi-Keyword Search on Encrypted Data in the Cloud', IEEE Access, vol. 7, pp. 31984-31996.
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Xia, L-Y, Wang, Q-Y, Cao, Z & Liang, Y 2019, 'Descriptor Selection Improvements for Quantitative Structure-Activity Relationships', INTERNATIONAL JOURNAL OF NEURAL SYSTEMS, vol. 29, no. 9.
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Xiong, P, Zhu, D, Zhang, L, Ren, W & Zhu, T 2019, 'Optimizing rewards allocation for privacy-preserving spatial crowdsourcing', Computer Communications, vol. 146, pp. 85-94.
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Xuan, J, Lu, J & Zhang, G 2019, 'A Survey on Bayesian Nonparametric Learning', ACM COMPUTING SURVEYS, vol. 52, no. 1.
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Xuan, J, Lu, J & Zhang, G 2019, 'Cooperative Hierarchical Dirichlet Processes: Superposition vs. Maximization', Artificial Intelligence, vol. 271, pp. 43-73.
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Xue, S, Lu, J & Zhang, G 2019, 'Cross-domain network representations', PATTERN RECOGNITION, vol. 94, pp. 135-148.
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Yan, Z, Liu, J & Liu, S 2019, 'DPWeVote: differentially private weighted voting protocol for cloud-based decision-making', Enterprise Information Systems, vol. 13, no. 2, pp. 236-256.
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Yan, Z, Wu, Q, Ren, M, Liu, J, Liu, S & Qiu, S 2019, 'Locally private Jaccard similarity estimation', Concurrency Computation, vol. 31.
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Yang, J, Zhang, Y, Zhang, W & Lin, X 2019, 'Cost optimization based on influence and user preference', KNOWLEDGE AND INFORMATION SYSTEMS, vol. 61, no. 2, pp. 695-732.
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Yang, LX, Li, P, Zhang, Y, Yang, X, Xiang, Y & Zhou, W 2019, 'Effective repair strategy against advanced persistent threat: A differential game approach', IEEE Transactions on Information Forensics and Security, vol. 14, no. 7, pp. 1713-1728.
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Yang, M, Zhu, T, Liang, K, Zhou, W & Deng, RH 2019, 'A blockchain-based location privacy-preserving crowdsensing system', Future Generation Computer Systems, vol. 94, pp. 408-418.
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Yang, P, Ormerod, JT, Liu, W, Ma, C, Zomaya, AY & Yang, JYH 2019, 'AdaSampling for Positive-Unlabeled and Label Noise Learning With Bioinformatics Applications.', IEEE Transactions on Cybernetics, vol. 49, no. 5, pp. 1932-1943.
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Yang, W, Wang, J, Lu, H, Niu, T & Du, P 2019, 'Hybrid wind energy forecasting and analysis system based on divide and conquer scheme: A case study in China', Journal of Cleaner Production, vol. 222, pp. 942-959.
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Yang, Y, Zhang, W, Zhang, Y, Lin, X & Wang, L 2019, 'Selectivity Estimation on Set Containment Search', Data Science and Engineering, vol. 4, no. 3, pp. 254-268.
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Yang, Z, Li, X, Cao, Z & Li, J 2019, 'Q-rung Orthopair Normal Fuzzy Aggregation Operators and Their Application in Multi-Attribute Decision-Making', MATHEMATICS, vol. 7, no. 12.
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Yang, Z, Xiong, G, Cao, Z, Li, Y & Huang, L 2019, 'A Decision Method for Online Purchases Considering Dynamic Information Preference Based on Sentiment Orientation Classification and Discrete DIFWA Operators', IEEE ACCESS, vol. 7, pp. 77008-77026.
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Yao, L, Wang, X, Sheng, QZ, Dustdar, S & Zhang, S 2019, 'Recommendations on the Internet of Things: Requirements, Challenges, and Directions', IEEE Internet Computing, vol. 23, no. 3, pp. 46-54.
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Yao, S, Chen, J, He, K, Du, R, Zhu, T & Chen, X 2019, 'PBCert: Privacy-Preserving Blockchain-Based Certificate Status Validation Toward Mass Storage Management', IEEE Access, vol. 7, pp. 6117-6128.
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Ye, D, He, Q, Wang, Y & Yang, Y 2019, 'An Agent-Based Integrated Self-Evolving Service Composition Approach in Networked Environments', IEEE Transactions on Services Computing, vol. 12, no. 6, pp. 880-895.
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Yin, K, Laranjo, L, Tong, HL, Lau, AYS, Kocaballi, AB, Martin, P, Vagholkar, S & Coiera, E 2019, 'Context-Aware Systems for Chronic Disease Patients: Scoping Review', JOURNAL OF MEDICAL INTERNET RESEARCH, vol. 21, no. 6.
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Yin, R, Li, K, Zhang, G & Lu, J 2019, 'A deeper graph neural network for recommender systems', Knowledge-Based Systems, vol. 185.
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Ying, H, Wu, J, Xu, G, Liu, Y, Liang, T, Zhang, X & Xiong, H 2019, 'Time-aware metric embedding with asymmetric projection for successive POI recommendation', World Wide Web, vol. 22, pp. 2209-2224.
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Yu, D, Fu, B, Xu, G & Qin, A 2019, 'Constrained nonnegative matrix factorization-based semi-supervised multi-label learning', International Journal of Machine Learning and Cybernetics, vol. 10, no. 5, pp. 1093-1100.
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Zeng, X, Xu, G, Zheng, X, Xiang, Y & Zhou, W 2019, 'E-AUA: An Efficient Anonymous User Authentication Protocol for Mobile IoT', IEEE Internet of Things Journal, vol. 6, no. 2, pp. 1506-1519.
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Zhai, X, Zhou, W, Fei, G, Lu, C, Wen, S & Hu, G 2019, 'Edge-based stochastic network model reveals structural complexity of edges', Future Generation Computer Systems, vol. 100, pp. 1073-1087.
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Zhan, K, Chang, X, Guan, J, Chen, L, Ma, Z & Yang, Y 2019, 'Adaptive Structure Discovery for Multimedia Analysis Using Multiple Features.', IEEE Transactions on Cybernetics, vol. 49, no. 5, pp. 1826-1834.
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Zhang, F, Lin, X, Zhang, Y, Qin, L & Zhang, W 2019, 'Efficient community discovery with user engagement and similarity', VLDB Journal, vol. 28, no. 6, pp. 987-1012.
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Zhang, HW, Kok, VC, Chuang, SC, Tseng, CH, Lin, CT, Li, TC, Sung, FC, Wen, CP, Hsiung, CA & Hsu, CY 2019, 'Long-term exposure to ambient hydrocarbons increases dementia risk in people aged 50 years and above in Taiwan', Current Alzheimer Research, vol. 16, no. 14, pp. 1276-1289.
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Zhang, H-W, Kok, VC, Chuang, S-C, Tseng, C-H, Lin, C-T, Li, T-C, Sung, F-C, Wen, CP, Hsiung, CA & Hsu, CY 2019, 'Long-term ambient hydrocarbons exposure and incidence of ischemic stroke.', PloS one, vol. 14, no. 12, p. e0225363.
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Zhang, K, Qu, Z, Dong, Y, Lu, H, Leng, W, Wang, J & Zhang, W 2019, 'Research on a combined model based on linear and nonlinear features - A case study of wind speed forecasting', Renewable Energy, vol. 130, pp. 814-830.
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Zhang, L, Xiong, P, Ren, W & Zhu, T 2019, 'A differentially private method for crowdsourcing data submission', Concurrency and Computation: Practice and Experience, vol. 31, no. 19.
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Zhang, Q, Lu, J, Wu, D & Zhang, G 2019, 'A Cross-Domain Recommender System With Kernel-Induced Knowledge Transfer for Overlapping Entities.', IEEE transactions on neural networks and learning systems, vol. 30, no. 7, pp. 1998-2012.
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Zhang, Y, Huang, Y, Porter, AL, Zhang, G & Lu, J 2019, 'Discovering and forecasting interactions in big data research: A learning-enhanced bibliometric study', Technological Forecasting and Social Change, vol. 146, pp. 795-807.
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Zhang, Y, Lu, X & Li, J 2019, 'Single-sample face recognition under varying lighting conditions based on logarithmic total variation', Signal, Image and Video Processing, vol. 13, pp. 657-665.
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Zhang, Y, Lv, P, Lu, X & Li, J 2019, 'Face detection and alignment method for driver on highroad based on improved multi-task cascaded convolutional networks', Multimedia Tools and Applications, vol. 78, no. 18, pp. 26661-26679.
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Zhang, Y, Ren, W, Zhu, T & Faith, E 2019, 'MoSa: A modeling and sentiment analysis system for mobile application big data', Symmetry, vol. 11, no. 1.
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Zhang, Y, Ren, W, Zhu, T & Ren, Y 2019, 'SaaS: A situational awareness and analysis system for massive android malware detection', Future Generation Computer Systems, vol. 95, pp. 548-559.
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Zhang, Y, Wang, J & Lu, H 2019, 'Research and application of a novel combined model based on multiobjective optimization for multistep-ahead electric load forecasting', Energies, vol. 12, no. 10.
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Zhang, Z, Oberst, S & Lai, J 2019, 'A non-linear friction work formulation for the analysis of self-excited vibrations', Journal of Sound and Vibration, vol. 443, pp. 328-340.
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Zhanghao, K, Chen, X, Liu, W, Li, M, Liu, Y, Wang, Y, Luo, S, Wang, X, Shan, C, Xie, H, Gao, J, Chen, X, Jin, D, Li, X, Zhang, Y, Dai, Q & Xi, P 2019, 'Super-resolution imaging of fluorescent dipoles via polarized structured illumination microscopy.', Nat Commun, vol. 10, no. 1.
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Zhao, Y, Chen, J, Wu, D, Teng, J, Sharma, N, Sajjanhar, A & Blumenstein, M 2019, 'Network anomaly detection by using a time-decay closed frequent pattern', Information (Switzerland), vol. 10, no. 8.
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Zheng, R, Jiang, J, Hao, X, Ren, W, Xiong, F & Zhu, T 2019, 'CaACBIM: A context-aware access control model for BIM', Information (Switzerland), vol. 10, no. 2.
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Zijlema, AF, Van den hoven, E & Eggen, B 2019, 'A qualitative exploration of memory cuing by personal items in the home', Memory Studies, vol. 12, no. 4, pp. 377-397.
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Zuo, H, Lu, J, Zhang, G & Liu, F 2019, 'Fuzzy Transfer Learning Using an Infinite Gaussian Mixture Model and Active Learning', IEEE Transactions on Fuzzy Systems, vol. 27, no. 2, pp. 291-303.
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Zuo, H, Lu, J, Zhang, G & Pedrycz, W 2019, 'Fuzzy Rule-Based Domain Adaptation in Homogeneous and Heterogeneous Spaces', IEEE Transactions on Fuzzy Systems, vol. 27, no. 2, pp. 348-361.
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Conferences

Abdo, P, Phuoc Huynh, B, Braytee, A & Taghipour, R 2019, 'Effect of phase change material on temperature in a room fitted with a windcatcher', ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE).
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Abou Maroun, E, Daniel, J, Zowghi, D & Talaei-Khoei, A 2018, 'Blockchain in Supply Chain Management: Australian Manufacturer Case Study', Service Research and Innovation, Australasian Symposium on Service Research and Innovation, Springer, Sydney, Australia, pp. 93-107.
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Abu Ul Fazal, M, Karim, S, Ferguson, S & Johnston, A 2019, 'Vinfomize: A framework for multiple voice-based information communication', ICISDM 2019: Proceedings of the 2019 3rd International Conference on Information System and Data Mining, International Conference on Information System and Data Mining, ACM, Houston, Texas, USA, pp. 143-147.
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Agarwal, A, Dowsley, R, McKinney, ND, Wu, D, Lin, C-T, Cock, MD & Nascimento, A 2018, 'Privacy-preserving linear regression for brain-computer interface applications', Proceedings 2018 IEEE International Conference on Big Data, IEEE International Conference on Big Data, IEEE, Seattle, WA, USA.
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Ahadi, A & Mathieson, L 2019, 'A Comparison of Three Popular Source code Similarity Tools for Detecting Student Plagiarism', ACE 2019 Proceedings of the 21st Australasian Computing Education Conference, Australasian Computing Education Conference, ACM, Australia, pp. 112-117.
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Ahadi, A, Lister, R & Mathieson, L 2019, 'ArAl: An Online Tool for Source Code Snapshot Metadata Analysis', Proceedings of the Twenty-First Australasian Computing Education Conference, Australasian Computing Education Conference, ACM, Australia, pp. 118-125.
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Aldini, S, Akella, A, Singh, A, Wang, Y-K, Carmichael, M, Liu, D & Lin, C-T 2019, 'Effect of Mechanical Resistance on Cognitive Conflict in Physical Human-Robot Collaboration', https://ieeexplore.ieee.org/xpl/conhome/8780387/proceeding, International Conference on Robotics and Automation, IEEE, Canada, pp. 6137-6143.
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Altulyan, MS, Huang, C, Yao, L, Wang, X, Kanhere, S & Cao, Y 2019, 'Reminder Care System: An Activity-Aware Cross-Device Recommendation System', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), International Conference on Advanced Data Mining and Applications, Springer Nature Switzerland AG, Dalian, China, pp. 207-220.
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Anwar, M & Gill, A 2019, 'A Review of the Seven Modelling Approaches for Digital Ecosystem Architecture', 2019 IEEE 21st Conference on Business Informatics (CBI), IEEE Conference on Business Informatics, IEEE, Moscow, Russia.
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Aravanis, T, Peppas, P & Williams, MA 2019, 'Observations on darwiche and Pearl's approach for iterated belief revision', IJCAI International Joint Conference on Artificial Intelligence, International Joint Conferences on Artificial Intelligence, International Joint Conferences on Artificial Intelligence, Macao, pp. 1509-1515.
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Armstrong, T & Leong, TW 2019, 'SNS and the lived experiences of queer youth', ACM International Conference Proceeding Series, pp. 376-380.
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Aung, TWW, Huo, H & Sui, Y 2019, 'Interactive Traceability Links Visualization using Hierarchical Trace Map', 2019 IEEE International Conference on Software Maintenance and Evolution (ICSME), IEEE International Conference on Software Maintenance and Evolution, IEEE, Cleveland, Ohio.
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Awan, Z, Kahlke, T, Ralph, PJ & Kennedy, PJ 2019, 'Chemical named entity recognition with deep contextualized neural embeddings', IC3K 2019 - Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management., Austria, pp. 135-144.
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Bai, L, Yao, L, Kanhere, SS, Wang, X & Sheng, QZ 2019, 'StG2seq: Spatial-temporal graph to sequence model for multi-step passenger demand forecasting', IJCAI International Joint Conference on Artificial Intelligence, pp. 1981-1987.
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Bai, L, Yao, L, Kanhere, SS, Wang, X & Yang, Z 2018, 'Automatic Device Classification from Network Traffic Streams of Internet of Things', 2018 IEEE 43rd Conference on Local Computer Networks (LCN 2018), IEEE Conference on Local Computer Networks, IEEE, USA, pp. 597-605.
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Bai, L, Yao, L, Kanhere, SS, Wang, X, Liu, W & Yang, Z 2019, 'Spatio-temporal graph convolutional and recurrent networks for citywide passenger demand prediction', International Conference on Information and Knowledge Management, Proceedings, ACM International Conference on Information and Knowledge Management, ACM, Beijing, China, pp. 2293-2296.
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Bai, L, Yao, L, Kanhere, SS, Yang, Z, Chu, J & Wang, X 2019, 'Passenger demand forecasting with multi-task convolutional recurrent neural networks', Advances in Knowledge Discovery and Data Mining (LNAI), Pacific-Asia Conference on Knowledge Discovery and Data Mining, Springer, Macau, China, pp. 29-42.
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Bakhanova, E, Voinov, A, Raffe, W & Garcia Marin, J 2019, 'Gamification of participatory modeling in the context of sustainable development: existing and new solutions', 23rd International Congress on Modelling and Simulation, Canberra.
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Bell, J & Leong, T 2019, 'Collaborative Futures: Co-Designing Research Methods for Younger People Living with Dementia', ACM Transactions on Software Engineering and Methodology, Computer Human Interaction, Association for Computing Machinery, Glasgow, Scotland.
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Bhagvathiperumal, S & Goyal, M 2018, 'Dynamic Provisioning of Cloud Resources Based on Workload Prediction', Computing and Network Sustainability, Second International Research Symposium on Computing and Network Sustainability, SpringerLink, Goa, India, pp. 41-49.

Bian, J & Huang, ML 2019, 'Semantic Topic Discovery for Lecture Video', Intelligent Systems and Applications. IntelliSys 2019. Advances in Intelligent Systems and Computing, Intelligent Systems Conference (IntelliSys), Springer, London, UK, pp. 457-466.
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Bluff, A & Johnston, A 2019, 'Devising Interactive Theatre: Trajectories of Production with Complex Bespoke Technologies', Proceedings of the 2019 on Designing Interactive Systems Conference - DIS '19, Designing Interactive Systems 2019, ACM Press, San Diego, CA, USA, pp. 279-289.
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Bluff, A & Johnston, A 2019, 'Don’t Panic: Recursive Interactions in a Miniature Metaworld', The 17th International Conference on Virtual-Reality Continuum and its Applications in Industry on - VRCAI '19, The 17th International Conference on Virtual-Reality Continuum and its Applications in Industry, ACM Press, Brisbane, Australia.
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Borah, P, Gupta, D & Prasad, M 2018, 'Improved 2-norm Based Fuzzy Least Squares Twin Support Vector Machine', Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018, IEEE Symposium Series on Computational Intelligence, IEEE, Bangalore, India, pp. 412-419.
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Bown, O, Ferguson, S, Bray, L, Fraietta, A & Loke, L 2019, 'Facilitating Creative Exploratory Search with Multiple Networked Audio Devices Using HappyBrackets', Proceedings of the International Conference on New Interfaces for Musical Expression, New Interfaces for Musical Expression, NIME, Porto Alegre, Brazil, pp. 286-291.
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Brankaert, R, Kenning, G, Welsh, D, Foley, S, Hodge, J & Unbehaun, D 2019, 'Intersections in HCI, design and dementia: Inclusivity in participatory approaches', DIS 2019 Companion - Companion Publication of the 2019 ACM Designing Interactive Systems Conference, pp. 357-360.
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Brunker, A, Catchpoole, D, Kennedy, P, Simoff, S & Nguyen, QV 2019, 'Two-dimensional immersive cohort analysis supporting personalised medical treatment', Proceedings - 2019 23rd International Conference in Information Visualization - Part II, IV-2 2019, International Conference in Information Visualization, IEEE, Adelaide, Australia, pp. 34-41.
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Cao, Z, Chang, YC, Prasad, M, Tanveer, M & Lin, CT 2019, 'Tensor decomposition for EEG signals retrieval', Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, IEEE International Conference on Systems, Man and Cybernetics, IEEE, Bari, Italy, pp. 2423-2427.
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Chang, Y-C, Dostovalova, A, Lin, C-T & Kim, J 2019, 'Intelligent Multi-agent Coordination and Learning', 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC), IEEE International Conference on Systems, Man and Cybernetics, IEEE, Bari, Italy.
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Chen, X, Cao, X, Xu, Z, Zhang, Y, Shang, S & Zhang, W 2019, 'Accelerate MaxBRkNN Search by kNN estimation', Proceedings - International Conference on Data Engineering, International Conference on Data Engineering, IEEE, Macao, Macao, pp. 1730-1733.
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Chen, X, Huang, C, Zhang, X, Wang, X, Liu, W & Yao, L 2019, 'Expert2Vec: Distributed Expert Representation Learning in Question Answering Community', Advanced Data Mining and Applications (LNAI), International Conference on Advanced Data Mining and Applications, Springer Nature Switzerland AG, Dalian, China, pp. 288-301.
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Cheng, EJ, Young, KY & Lin, CT 2018, 'Image-based EEG signal processing for driving fatigue prediction', 2018 International Automatic Control Conference, CACS 2018, International Automatic Control Conference, IEEE, Taoyuan, Taiwan.
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Cheng, X, Wang, H, Hua, J, Zhang, M, Xu, G, Yi, L & Sui, Y 2019, 'Static detection of control-flow-related vulnerabilities using graph embedding', Proceedings of the IEEE International Conference on Engineering of Complex Computer Systems, ICECCS, International Conference on Engineering of Complex Computer Systems, IEEE, Guangzhou, China, pp. 41-50.
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Chou, KP, Lin, CT & Lin, WC 2019, 'A self-adaptive artificial bee colony algorithm with local search for TSK-type neuro-fuzzy system training', 2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings, pp. 1502-1509.
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Chow, D, Liu, A, Zhang, G & Lu, J 2019, 'Knowledge graph-based entity importance learning for multi-stream regression on Australian fuel price forecasting', Proceedings of the International Joint Conference on Neural Networks.
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Chua, BB & Zhang, Y 2019, 'Predicting open source programming language repository file survivability from forking data', Proceedings of the 15th International Symposium on Open Collaboration, International Symposium on Open Collaboration, ACM, Skövde Sweden.
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Coluccia, A, Fascista, A, Schumann, A, Sommer, L, Ghenescu, M, Piatrik, T, De Cubber, G, Nalamati, M, Kapoor, A, Saqib, M, Sharma, N, Blumenstein, M, Magoulianitis, V, Ataloglou, D, Dimou, A, Zarpalas, D, Daras, P, Craye, C, Ardjoune, S, De La Iglesia, D, Mendez, M, Dosil, R & Gonzalez, I 2019, 'Drone-vs-bird detection challenge at IEEE AVSS2019', 2019 16th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2019, IEEE International Conference on Advanced Video and Signal Based Surveillance, IEEE, Taipei, Taiwan.
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Cortes, CAT, Chen, HT & Lin, CT 2019, 'Analysis of VR sickness and gait parameters during non-isometric virtualwalking with large translational gain', Proceedings - VRCAI 2019: 17th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry, International Conference on Virtual-Reality Continuum and its Applications in Industry, AXM, Brisbane, Australia, pp. 1-10.
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Cortes, CAT, Chen, HT & Lin, CT 2019, 'Analysis of VR sickness and gait parameters during non-isometric virtualwalking with large translational gain', Proceedings of the ACM Symposium on Virtual Reality Software and Technology, VRST.
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Dasgupta, A, Gill, A & Hussain, F 2019, 'A Conceptual Framework for Data Governance in IoT-enabled Digital IS Ecosystems', Proceedings of the 8th International Conference on Data Science, Technology and Applications: DATA, 8th International Conference on Data Science, Technology and Applications, SCITEPRESS – Science and Technology Publications, Prague, Czech Republic, pp. 209-216.
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Demediuk, S, Tamassia, M, Li, X & Raffe, WL 2019, 'Challenging AI: Evaluating the Effect of MCTS-Driven Dynamic Difficulty Adjustment on Player Enjoyment', Proceedings of the Australasian Computer ScienceWeek Multiconference (ACSW ’19), Australasian Computer Science Week 2019, Association for Computing Machinery, Australia.
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Derix, EC & Leong, TW 2019, 'Towards a probe design framework', ACM International Conference Proceeding Series, pp. 117-127.
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Do, Q, Verma, S, Chen, F & Liu, W 2019, 'Multiple Knowledge Transfer for Cross-Domain Recommendation', PRICAI 2019: Trends in Artificial Intelligence, Pacific Rim International Conference on Artificial Intelligence, Spronger, Cuvu, Yanuca Island, Fij, pp. 529-542.
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Dong, M, Yao, L, Wang, X, Benatallah, B & Huang, C 2019, 'Similarity-aware deep attentive model for clickbait detection', Advances in Knowledge Discovery and Data Mining (LNAI), Pacific-Asia Conference on Knowledge Discovery and Data Mining, Springer, Macau, China, pp. 56-69.
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Dong, M, Yao, L, Wang, X, Benatallah, B, Zhang, X & Sheng, QZ 2019, 'Dual-stream Self-Attentive Random Forest for False Information Detection', Proceedings of the International Joint Conference on Neural Networks.
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Dutta, LK, Xiong, J, Gui, L, Liu, B & Shi, Z 2019, 'On Hit Rate Improving and Energy Consumption Minimizing in Cache-Based Convergent Overlay Network on High-speed Train', IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, BMSB.
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Ebeling, C, Skinner, B & Bluff, A 2019, 'Xploro: Multi-user AR', ACM SIGGRAPH 2019 Appy Hour, SIGGRAPH 2019, 2019 ACM SIG International Conference on Computer Graphics and Interactive Techniques, Los Angeles, California.
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Fan, H, Zhu, L & Yang, Y 2019, 'Cubic LSTMs for Video Prediction', The Thirty-Third AAAI Conference on Artificial Intelligence, AAAI, AAAI Conference on Artificial Intelligence, AAAI Press, Honolulu,Hawaii, USA, pp. 8263-8270.
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Fang, Z, Li, Q, Cao, Y, Zhang, Z, Zhang, D & Liu, Y 2019, 'Joint entity linking with deep reinforcement learning', The Web Conference 2019 - Proceedings of the World Wide Web Conference, WWW 2019, pp. 438-447.
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Fang, Z, Lu, J, Liu, F & Zhang, G 2019, 'Unsupervised Domain Adaptation with Sphere Retracting Transformation', Proceedings of the International Joint Conference on Neural Networks.
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Gaisbauer, W, Raffe, WL, Garcia, JA & Hlavacs, H 2019, 'Procedural Generation of Video Game Cities for Specific Video Game Genres Using WaveFunctionCollapse (WFC)', CHI PLAY'19: EXTENDED ABSTRACTS OF THE ANNUAL SYMPOSIUM ON COMPUTER-HUMAN INTERACTION IN PLAY, 6th ACM SIGCHI Annual Symposium on Computer-Human Interaction in Play (CHI PLAY), ASSOC COMPUTING MACHINERY, Barcelona, SPAIN, pp. 397-404.
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Garcia, JA, Sundara, N, Tabor, G, Gay, VC & Leong, TW 2019, 'Solitaire Fitness: Design of an asynchronous exergame for the elderly to enhance cognitive and physical ability', 2019 IEEE 7th International Conference on Serious Games and Applications for Health, SeGAH 2019, International Conference on Serious Games and Applications for Health, IEEE, Kyoto, Japan.
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Gardenfors, P, Williams, M-A, Johnston, B, Billingsley, R, Vitale, J, Peppas, P & Clark, J 2018, 'Event boards as tools for holistic AI', International Workshop on Artificial Intelligence and Cognition, CEUR, Palermo, Italy, pp. 1-10.
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Gehrke, L, Akman, S, Lopes, P, Chen, A, Singh, AK, Chen, H-T, Lin, CT & Gramann, K 2019, 'Detecting Visuo-Haptic Mismatches in Virtual Reality using the Prediction Error Negativity of Event-Related Brain Potentials', CHI 2019: PROCEEDINGS OF THE 2019 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, CHI Conference on Human Factors in Computing Systems (CHI), ASSOC COMPUTING MACHINERY, Glasgow, SCOTLAND.
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Gong, S, Oberst, S & Wang, X 2019, 'Dynamic analysis of vibrating flip-flow screens equipped with support and shear rubber springs', Journal of Physics : Conference Series, Recent Advances in Structural Dynamics, Institute of Physics (IoP), Lyon, France, pp. 1-12.
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Groulx, A & McGregor, C 2018, 'A Social Media Tax Data Warehouse to Manage the Underground Economy', Proceedings - 20th International Conference on High Performance Computing and Communications, 16th International Conference on Smart City and 4th International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2018, International Conference on High Performance Computing and Communications; IEEE 16th International Conference on Smart City; IEEE International Conference on Data Science and Systems, IEEE, Exeter, United Kingdom, pp. 1599-1606.
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Gudi, SLKC, Ojha, S, Sidra, Johnston, B & Williams, MA 2017, 'A proactive robot tutor based on emotional intelligence', Advances in Intelligent Systems and Computing, International Conference on Robot Intelligence Technology and Applications, Springer, Korea, pp. 113-120.
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Gupta, D, Sarma, HJ, Mishra, K & Prasad, M 2019, 'Regularized universum twin support vector machine for classification of EEG signal', Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, pp. 2298-2304.
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Gupta, U, Gupta, D & Prasad, M 2018, 'Kernel Target Alignment based Fuzzy Least Square Twin Bounded Support Vector Machine', Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018, IEEE Symposium Series on Computational Intelligence, IEEE, Bangalore, India, pp. 228-235.
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Halkon, B, Rauter, A, Oberst, S & Marburg, S 2019, 'Research and development of an air-puff excitation system for lightweight structures', 8th International Operational Modal Analysis Conference (IOMAC 2019), International Operational Modal Analysis Conference, Curran Associates, Copenhagen, Denmark, pp. 627-634.
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Haque, MN, Mathieson, L & Moscato, P 2019, 'A Memetic Algorithm Approach to Network Alignment: mapping the classification of mental disorders of DSM-IV with ICD-10', GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference, The Genetic and Evolutionary Computation Conference, ACM, Prague, Czech Republic, pp. 258-265.
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Harbinson, D, Balsys, R & Suffern, K 2019, 'Hybrid Polygon-Point Rendering of Singular and Non-Manifold Implicit Surfaces', 2019 23rd International Conference in Information Visualization – Part II, International Conference in Information Visualization – Part II, IEEE, Adelaide, Australia.
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Hesamian, MH, Jia, W, He, X & Kennedy, PJ 2019, 'Atrous Convolution for Binary Semantic Segmentation of Lung Nodule', ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, Brighton. UK, pp. 1015-1019.
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Houben, M, Brankaert, R, Bakker, S, Kenning, G, Bongers, I & Eggen, B 2019, 'Foregrounding everyday sounds in dementia', DIS 2019 - Proceedings of the 2019 ACM Designing Interactive Systems Conference, pp. 71-83.
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Huang, ML, YUE, Z, Nguyen, QV, Liang, J & Luo, Z 2019, 'Stroke Data Analysis through a HVN Visual Data Mining Platform', Proc. of 23rd International Conference on Information Visualization, International Conference on Information Visualization, IEEE CSP, Adelaide, Australia.
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Inibhunu, C, Jalali, R, Doyle, I, Gates, A, Madill, J & McGregor, C 2019, 'Adaptive API for Real-Time Streaming Analytics as a Service.', Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, Annual International Conference of the IEEE Engineering in Medicine and Biology Society, IEEE, Berlin, Germany, pp. 3472-3477.
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Islam, MR, Helen Lu, H, Hossain, MJ & Li, L 2019, 'Improving Power Quality of Distributed PV-EV Distribution Grid by Mitigating Unbalance', 2019 IEEE International Conference on Industrial Technology (ICIT), 2019 IEEE International Conference on Industrial Technology (ICIT), IEEE, Melbourne, Australia.
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Islam, MR, Lu, H, Fang, G, Li, L & Hossain, MJ 2019, 'Optimal Dispatch of Electrical Vehicle and PV Power to Improve the Power Quality of an Unbalanced Distribution Grid', 2019 Proceedings of International Conference on High Performance Big Data and Intelligent Systems (HPBD&IS), 2019 International Conference on High Performance Big Data and Intelligent Systems (HPBD&IS), IEEE, Shenzhen, China.
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Islam, MR, Lu, H, Hossain, MJ & Li, L 2019, 'Compensating Neutral Current, Voltage Unbalance and Improving Voltage of an Unbalanced Distribution Grid Connected with EV and Renewable Energy Sources', 2019 22nd International Conference on Electrical Machines and Systems (ICEMS), International Conference on Electrical Machines and Systems, IEEE, Harbin, China.
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Islam, MR, Lu, HH, Hossain, MJ & Li, L 2019, 'A Comparison of Performance of GA, PSO and Differential Evolution Algorithms for Dynamic Phase Reconfiguration Technology of a Smart Grid', 2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings, 2019 IEEE Congress on Evolutionary Computation (CEC), Wellington, New Zealand, pp. 858-865.
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Jaschek, C, Beckmann, T, Garcia, JA & Raffe, WL 2019, 'Mysterious Murder - MCTS-driven murder mystery generation', IEEE Conference on Computatonal Intelligence and Games, CIG, IEEE Conference on Games, IEEE, London, United Kingdom.
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Ji, S, Long, G, Pan, S, Zhu, T, Jiang, J & Wang, S 2918, 'Detecting Suicidal Ideation with Data Protection in Online Communities', Database Systems for Advanced Applications (LNCS), International Conference on Database Systems for Advanced Applications, Springer, Chiang Mai, Thailand, pp. 225-229.
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Ji, Z, Qiao, Y, Yun, A & Song, F 2019, 'General Linear Group Action on Tensors: A Candidate for Post-quantum Cryptography', TCC 2019: Theory of Cryptography, International Conference on Theory of Cryptography, Springer, Nuremberg, pp. 251-281.
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Jiang, S, Cao, J & Prasad, M 2019, 'The Metrics to Evaluate the Health Status of OSS Projects Based on Factor Analysis', Communications in Computer and Information Science, CCF Conference on Computer Supported Cooperative Work and Social Computing, Springer, Kunming, China, pp. 723-737.
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Kenning, G, Ilsar, A, Brankaert, R & Evans, M 2019, 'Improvisation and Reciprocal Design: Soundplay for Dementia', Dementia Lab 2019. Making Design Work: Engaging with Dementia in Context, Dementia Lab, Springer, Eindhoven, The Netherland, pp. 82-91.
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Lei, Y & Sui, Y 2019, 'Fast and Precise Handling of Positive Weight Cycles for Field-Sensitive Pointer Analysis', Static Analysis, International Static Analysis Symposium, Springer, Porto, Portugal, pp. 27-47.
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Leong, TW, Lawrence, C & Wadley, G 2019, 'Designing for diversity in Aboriginal Australia: Insights from a national technology project', ACM International Conference Proceeding Series, pp. 418-422.
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Li, C, Fan, X, Li, B, Sisson, S & Chen, L 2019, 'Scalable Deep Generative Relational Model with High-Order Node Dependence', Vancouver, Canada.

Li, G, Zhu, L, Liu, P & Yang, Y 2019, 'Entangled Transformer for Image Captioning', IEEE International Conference on Computer Vision, ICCV, The IEEE International Conference on Computer Vision (ICCV), Long Beach, pp. 8928-8937.

Li, L, Do, DMQ & Liu, W 2019, 'Cross-Domain Recommendation via Coupled Factorization Machines', Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, AAAI Press, Honolulu, Hawaii USA, pp. 9965-9966.
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Li, Q, Zhong, J, Li, Q, Cao, Z & Wang, C 2019, 'Enhancing network embedding with implicit clustering', Database Systems for Advanced Applications (LNCS), International Conference on Database Systems for Advanced Applications, Springer, Chiang Mai, Thailand, pp. 452-467.
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Li, W, Qiao, M, Qin, L, Zhang, Y, Chang, L & Lin, X 2019, 'Scaling Distance Labeling on Small-World Networks', SIGMOD '19: PROCEEDINGS OF THE 2019 INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA, ACM SIGMOD International Conference on Management of Data (SIGMOD), ASSOC COMPUTING MACHINERY, Amsterdam, NETHERLANDS, pp. 1060-1077.
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Li, Z, Liu, W, Chang, X, Yao, L, Prakash, M & Zhang, H 2019, 'Domain-Aware Unsupervised Cross-dataset Person Re-identification', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 15th International Conference on Advanced Data Mining and Applications, Dalian, China, pp. 406-420.
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Li, Z, Yao, L, Zhang, X, Wang, X, Kanhere, S & Zhang, H 2019, 'Zero-Shot Object Detection with Textual Descriptions', Proceedings of the AAAI Conference on Artificial Intelligence, Conference on Artificial Intelligence / Innovative Applications of Artificial Intelligence Conference / AAAI Symposium on Educational Advances in Artificial Intelligence, AAAI Press, Honolulu, HI, pp. 8690-8697.
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Liu, B, Xiong, J, Wu, Y, Ding, M & Wu, CM 2019, 'Protecting Multimedia Privacy from Both Humans and AI', IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, BMSB.
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Liu, F, Zhang, G & Lu, J 2019, 'A Novel Fuzzy Neural Network for Unsupervised Domain Adaptation in Heterogeneous Scenarios', IEEE International Conference on Fuzzy Systems, IEEE International Conference on Fuzzy Systems, IEEE, New Orleans, LA, USA.
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Liu, W, Hanchen, W, Ying, Z, Wei, W & Lu, Q 2019, 'I-LSH: I/O Efficient c-Approximate Nearest Neighbor Search in High-Dimensional Space', IEEE 35th International Conference on Data Engineering, Macao.
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Liu, W, Wen, D, Wang, H, Zhang, F & Wang, X 2019, 'Skyline nearest neighbor search on multi-layer graphs', Proceedings - 2019 IEEE 35th International Conference on Data Engineering Workshops, ICDEW 2019, International Conference on Data Engineering Workshops, IEEE, Macao, Macao, pp. 259-265.
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Liu, Y, Yan, Y, Chen, L, Han, Y & Yang, Y 2019, 'Adaptive Sparse Confidence-Weighted Learning for Online Feature Selection', Proceedings of the AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence, AAAI Conference on Artificial Intelligence, AAAI Press, Honolulu, Hawaii USA, pp. 4408-4415.
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Lu, J, Zheng, X, Sheng, QZ, Hussain, Z, Wang, J & Zhou, W 2019, 'MFE-HAR: Multiscale feature engineering for human activity recognition using wearable sensors', Proceedings of the 16th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, ACM, Houston Texas, pp. 180-189.
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Lu, S, Oberst, S, Zhang, G & Luo, Z 2019, 'Period adding bifurcations in dynamic pricing processes', 2019 IEEE Conference on Computational Intelligence for Financial Engineering & Economics (CIFEr), IEEE Conference on Computational Intelligence for Financial Engineering & Economics, IEEE, Shenzhen, China, pp. 71-76.
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Madhisetty, S & Williams, MA 2018, 'Managing privacy through key performance indicators when photos and videos are shared via social media', Advances in Intelligent Systems and Computing, Science and Information Conference, Springer, London, United Kingdom, pp. 1103-1117.
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Madhisetty, S & Williams, MA 2018, 'The role of trust and control in managing privacy when photos and videos are stored or shared', Advances in Intelligent Systems and Computing, Future Technologies Conference, Springer, Vancouver, BC (Canada), pp. 127-140.
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Madhisetty, S, Williams, MA, Massy-Greene, J, Franco, L & El Khoury, M 2019, 'How to manage privacy in photos after publication', ICEIS 2019 - Proceedings of the 21st International Conference on Enterprise Information Systems, International Conference on Enterprise Information Systems, SciTechPress, Greece, pp. 162-168.
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Mahdavi, F, Hayati, H, Kennedy, P & Eager, D 2019, 'Ageing and resulting injuries – effects on racing greyhounds', European Society of Biomechanics, Vienna, Austria.

Mahdavi, F, Hayati, H, Kennedy, P & Eager, D 2019, 'Effects of the number of starts on greyhound racing dynamics', International Society of Biomechanics Conference, Calgary, Canada.

McGregor, C & Majola, PX 2019, 'Opportunities for a cloud based health analytics as a service for eastern cape initiation schools in South Africa', Proceedings - IEEE Symposium on Computer-Based Medical Systems, International Symposium on Computer-Based Medical Systems, IEEE, Cordoba, Spain, pp. 531-534.
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Meena, MS, Singh, P, Rana, A, Mery, D & Prasad, M 2019, 'A Robust Face Recognition System for One Sample Problem', Image and Video Technology (LNCS), Pacific-Rim Symposium on Image and Video Technology, Springer, Sydney, NSW, Australia, pp. 13-26.
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Melnikov, A, Chiang, YK, Oberst, S, Quan, L, Alu, A, Marburg, S & Powell, D 2019, 'Experimental validation of maximal Willis coupling in an acoustic meta-atom', 13th International Congress on Artificial Materials for Novel Wave Phenomena – Metamaterials 2019, International Congress on Artificial Materials for Novel Wave Phenomena, Rome, pp. 1-2.
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Meng, L, Lin, C-T, Jung, T-P & Wu, D 2019, 'White-box target attack for EEG-based BCI regression problems', Neural Information Processing 26th International Conference, ICONIP 2019 Sydney, NSW, Australia, December 12–15, 2019 Proceedings, Part I, International Conference on Neural Information Processing of the Asia-Pacific Neural Network Society, Springer, Australia, pp. 476-490.
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Mirtalaie, MA, Hussain, OK, Chang, E & Hussain, FK 2018, 'A fine-grained ontology-based sentiment aggregation approach', Advances in Intelligent Systems and Computing, International Conference on Complex, Intelligent, and Software Intensive Systems, Springer, Japan, pp. 252-262.
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Musial-Gabrys, K & Naseem, U 2019, 'Deep Intelligent Contextual Embedding for Twitter Sentiment Analysis', International Conference on Document Analysis and Recognition, Sydney, Australia.

Naji, M, Al-Ani, A, Braytee, A, Anaissi, A & Kennedy, P 2019, 'Queue Formation Augmented with Particle Swarm Optimisation to Improve Waiting Time in Airport Security Screening', Advances in Intelligent Systems and Computing, Workshops of the 33rd International Conference on Advanced Information Networking and Applications, Springer, Japan, pp. 923-935.
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Nalamati, M, Kapoor, A, Saqib, M, Sharma, N & Blumenstein, M 2019, 'Drone detection in long-range surveillance videos', 2019 16th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2019, International Conference on Advanced Video and Signal Based Surveillance, IEEE, Taipei, Taiwan.
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Ojha, S, Gudi, SLKC, Vitale, J, Williams, MA & Johnston, B 2018, 'I remember what you did: A behavioural guide-robot', Advances in Intelligent Systems and Computing, International Conference on Robot Intelligence Technology and Applications, Kuala Lumpur, Malaysia, pp. 273-282.
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Ojha, S, Vitale, J, Raza, SA, Billingsley, R & Williams, M-A 2019, 'Integrating Personality and Mood with Agent Emotions', AAMAS '19: PROCEEDINGS OF THE 18TH INTERNATIONAL CONFERENCE ON AUTONOMOUS AGENTS AND MULTIAGENT SYSTEMS, 18th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS), ASSOC COMPUTING MACHINERY, Montreal, CANADA, pp. 2147-2149.

Ona, ED, Cuesta-Gomez, A, Garcia, JA, Raffe, W, Sanchez-Herrera, P, Cano-de-la-Cuerda, R & Jardon, A 2019, 'Evaluating A VR-based Box and Blocks Test for Automatic Assessment of Manual Dexterity: A Preliminary Study in Parkinson’s Disease', 2019 IEEE 7th International Conference on Serious Games and Applications for Health (SeGAH), 2019 IEEE 7th International Conference on Serious Games and Applications for Health (SeGAH), IEEE, Kyoto, Japan.
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Oña, ED, García, JA, Raffe, W, Jardón, A & Balaguer, C 2019, 'Assessment of Manual Dexterity in VR: Towards a Fully Automated Version of the Box and Blocks Test.', Studies in health technology and informatics, Australian National Health Informatics Conference, IOS, Melbourne, Australia, pp. 57-62.
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Park, M, Yang, W, Cao, Z, Kang, B, Connor, D & Lea, MA 2019, 'Marine Vertebrate Predator Detection and Recognition in Underwater Videos by Region Convolutional Neural Network', Knowledge Management and Acquisition for Intelligent Systems, Pacific Rim Knowledge Acquisition Workshop, Springer, Cuvu, Fiji, pp. 66-80.
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Pelchen, T & Lister, R 1970, 'On the Frequency of Words Used in Answers to Explain in Plain English Questions by Novice Programmers', Proceedings of the Twenty-First Australasian Computing Education Conference, Australasian Computing Education Conference, ACM, Sydney NSW Australia, pp. 11-20.
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Pfeiffer, S, Ebrahimian, D, Herse, S, Le, TN, Leong, S, Lu, B, Powell, K, Raza, SA, Sang, T, Sawant, I, Tonkin, M, Vinaviles, C, Vu, TD, Yang, Q, Billingsley, R, Clark, J, Johnston, B, Madhisetty, S, McLaren, N, Peppas, P, Vitale, J & Williams, MA 2018, 'UTS Unleashed! RoboCup@Home SSPL Champions 2019', RoboCup 2019: Robot World Cup XXIII, RoboCup 2019, Springer International Publishing, Sydney, NSW, Australia, pp. 603-615.
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Pietroni, N, Bickel, B, Malomo, L & Cignoni, P 2019, 'State of the art on stylized fabrication', SIGGRAPH Asia 2019 Courses, SA 2019, SIGGRAPH Asia, ACM, Brisbane, Australia, pp. 1-1.
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Prasad, M, Rajora, S, Gupta, D, Daraghmi, YA, Daraghmi, E, Yadav, P, Tiwari, P & Saxena, A 2019, 'Fusion based En-FEC Transfer Learning Approach for Automobile Parts Recognition System', Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018, IEEE Symposium Series on Computational Intelligence, IEEE, Bangalore, India,, pp. 2193-2199.
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Prior, J, Laudari, S & Leaney, J 2019, 'What is the Effect of a Software Studio Experience on a Student's Employability?', ACE 2019 Proceedings of the 21st Australasian Computing Education Conference, Australasian Computing Education Conference, ACM, Australia, pp. 28-36.
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Prysyazhnyuk, A, McGregor, C, Chernikova, A & Rusanov, V 2019, 'A sliding window real-time processing approach for analysis of heart rate variability during spaceflight', Proceedings of the International Astronautical Congress, IAC.
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Qararyah, F, Daraghmi, YA, Daraghmi, E, Rajora, S, Lin, CT & Prasad, M 2018, 'A Time Efficient Model for Region of Interest Extraction in Real Time Traffic Signs Recognition System', Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018, IEEE Symposium Series on Computational Intelligence, IEEE, India, pp. 83-87.
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Qu, Y, Yu, S, Zhang, J, Binh, HTT, Gao, L & Zhou, W 2019, 'GAN-DP: Generative Adversarial Net Driven Differentially Privacy-Preserving Big Data Publishing', IEEE International Conference on Communications, IEEE International Conference on Communications, IEEE, Shanghai, China.
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Rajora, S, Kumar Vishwakarma, D, Singh, K & Prasad, M 2018, 'CSgI: A Deep Learning based approach for Marijuana Leaves Strain Classification', 2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference, IEMCON 2018, Annual Information Technology, Electronics and Mobile Communication Conference, IEEE, Vancouver, BC, Canada, pp. 209-214.
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Rajora, S, Li, DL, Jha, C, Bharill, N, Patel, OP, Joshi, S, Puthal, D & Prasad, M 2018, 'A Comparative Study of Machine Learning Techniques for Credit Card Fraud Detection Based on Time Variance', Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018, IEEE Symposium Series on Computational Intelligence, IEEE, Bangalore, India, India, pp. 1958-1963.
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Rippingale, S, Johnston, A & Bluff, A 2019, 'Hybrid animation production and the dream of flight', SIGGRAPH ASIA Art Gallery/Art Papers, SA 2019.
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Samaras, E & Johnston, A 2019, 'Off-lining to tape is not archiving: Why we need real archiving to support media archaeology and ensure our visual effects legacy thrives', ACM SIGGRAPH 2019 Art Gallery, SIGGRAPH 2019, Special Interest Group on Computer Graphics and Interactive Techniques Conference, ACM, Los Angeles, California, pp. 374-380.
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Saqib, M, Daud Khan, S, Sharma, N, Scully-Power, P, Butcher, P, Colefax, A & Blumenstein, M 2018, 'Real-Time Drone Surveillance and Population Estimation of Marine Animals from Aerial Imagery', International Conference Image and Vision Computing New Zealand, International Conference on Image and Vision Computing New Zealand, IEEE, Auckland, New Zealand.
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Sawhney, R, Shah, RR, Bhatia, V, Lin, CT, Aggarwal, S & Prasad, M 2019, 'Exploring the Impact of Evolutionary Computing based Feature Selection in Suicidal Ideation Detection', IEEE International Conference on Fuzzy Systems, IEEE International Conference on Fuzzy Systems, IEEE, New Orleans, LA, USA.
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Shah, S & Goyal, M 2019, 'Anomaly Detection in Social Media Using Recurrent Neural Network', Computational Science – ICCS 2019 (LNCS), International Conference on Computational Science, Springer, Faro, Portugal, pp. 74-83.
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Shen, S, Chen, HT & Leong, TW 2019, 'Training transfer of bimanual assembly tasks in cost-differentiated virtual reality systems', 26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019 - Proceedings, IEEE Conference on Virtual Reality and 3D User Interfaces, IEEE, Osaka, Japan, pp. 1152-1153.
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Shi, Y, Tuan, HD & Savkin, AV 2019, 'Mixed integer nonlinear programming for joint coordination of plug-in electrical vehicles charging and smart grid operations', 2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2019.
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Shu, Y & Xu, G 2019, 'Emotion Recognition From Music Enhanced By Domain Knowledge', PRICAI 2019: Trends in Artificial Intelligence, PACIFIC RIM INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE, Springer, Yanuca Island, Cuvu, Fiji, pp. 121-134.
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Singh, A 2019, 'Human brain dynamics during navigation with natural walking under different workload conditions in virtual reality by using the mobile brain/body imaging approach', Society for Neuroscience, Chicago.

Singh, A 2019, 'Investigating the impact of landmarks on spatial learning during active navigation', Society for Neuroscience, Chicago.

Skillicorn, D, Alsadhan, N, Billingsley, R & Williams, MA 2019, 'Measuring Human Emotion in Short Documents to Improve Social Robot and Agent Interactions', ADCAIJ : Advances in Distributed Computing and Artificial Intelligence Journal, Canadian Conference on Artificial Intelligence, Springer, Kingston, Canada, pp. 29-41.
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Song, Y, Zhang, G, Lu, H & Lu, J 2019, 'A Noise-tolerant Fuzzy c-Means based Drift Adaptation Method for Data Stream Regression', IEEE International Conference on Fuzzy Systems, IEEE International Conference on Fuzzy Systems, IEEE, New Orleans, LA, USA.
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Sui, Y, Zhang, Y, Zheng, W, Zhang, M & Xue, J 2019, 'Event trace reduction for effective bug replay of Android apps via differential GUI state analysis', ESEC/FSE 2019 - Proceedings of the 2019 27th ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering, European Software Engineering Conference and Symposium on the Foundations of Software Engineering, ACM, Tallinn, Estonia, pp. 1095-1099.
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Sun, K, Chen, T, Qian, T, Chen, Y, Yin, H & Chen, L 2019, 'What can history tell us? Identifying relevant sessions for next-item recommendation', International Conference on Information and Knowledge Management, Proceedings, pp. 1593-1602.
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Taghikhah, F, Raffe, WL, Mitri, G, Toit, SD, Voinov, A & Garcia, JA 2019, 'Last Island: Exploring Transitions to Sustainable Futures through Play', ACM International Conference Proceeding Series, Australasian Computer Science Week Multiconference, ACM, Sydney, Australia, pp. 1-7.
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Tiwary, M, Sharma, S, Mishra, P, El-Sayed, H, Prasad, M & Puthal, D 2018, 'Building Scalable Mobile Edge Computing by Enhancing Quality of Services', 2018 International Conference on Innovations in Information Technology (IIT), International Conference on Innovations in Information Technology, IEEE, Al Ain, United Arab Emirates, pp. 141-146.
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Verma, S, Wang, C, Zhu, L & Liu, W 2019, 'A Compliance Checking Framework for DNN Models', Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI-19, International Joint Conference on Artificial Intelligence, International Joint Conferences on Artificial Intelligence Organization, China, pp. 6470-6471.
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Verma, S, Wang, C, Zhu, L & Liu, W 2019, 'DeepCU: Integrating both Common and Unique Latent Information for Multimodal Sentiment Analysis', Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI-19, International Joint Conference on Artificial Intelligence, International Joint Conferences on Artificial Intelligence Organization, China, pp. 3627-3634.
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Verma, S, Wang, C, Zhu, L & Liu, W 2019, 'Towards Effective Data Augmentations via Unbiased GAN Utilization', PRICAI 2019: Trends in Artificial Intelligence (LNAI), Pacific Rim International Conference on Artificial Intelligence, Springer, Cuvu, Yanuca Island, Fiji, pp. 555-567.
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Vishwa, A & Hussain, FK 2018, 'A Blockchain based approach for multimedia privacy protection and provenance', Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018, IEEE Symposium Series on Computational Intelligence, IEEE, Bangalore, India, India, pp. 1941-1945.
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Wang, B, Luo, H, Lu, J, Li, T, Zhang, G, Yan, Z & Zheng, Y 2019, 'Deep uncertainty quantification: A machine learning approach for weather forecasting', Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, ACM, Anchorage, USA, pp. 2087-2095.
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Wang, X, He, D, Jin, D, Musial, K, Liu, M & Dang, J 2019, 'Emotional contagion-based social sentiment mining in social networks by introducing network communities', International Conference on Information and Knowledge Management, Proceedings, ACM International Conference on Information and Knowledge Management, ACM, Beijing, China, pp. 1763-1772.
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Wang, Y, Jin, D, Musial-Gabrys, K & Dang, J 2019, 'Community Detection in Social Networks Considering Topic Correlations', Proceedings of the AAAI Conference on Artificial Intelligence, AAAI Conference on Artificial Intelligence, AAAI, Hawaii, USA, pp. 321-328.
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Wen, D, Qin, L, Zhang, Y, Chang, L & Chen, L 2019, 'Enumerating k-Vertex Connected Components in Large Graphs.', 2019 IEEE 35th International Conference on Data Engineering (ICDE), International Conference on Data Engineering, IEEE, Macao, Macao, pp. 52-63.
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Wen, D, Qin, L, Zhang, Y, Chang, L & Chen, L 2019, 'Enumerating k-Vertex Connected Components in Large Graphs.', 2019 IEEE 35th International Conference on Data Engineering (ICDE), International Conference on Data Engineering, IEEE, Macao, Macao, pp. 52-63.
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Wu, A, Zhu, L, Han, Y & Yang, Y 2019, 'Connective Cognition Network for Directional Visual Commonsense Reasoning', Advances in Neural Information Processing Systems, NeurIPS, pp. 5670-5680.

Wu, D, Chen, J, Sharma, N, Pan, S, Long, G & Blumenstein, M 2019, 'Adversarial Action Data Augmentation for Similar Gesture Action Recognition', 2019 International Joint Conference on Neural Networks (IJCNN), International Joint Conference on Neural Networks, IEEE, Budapest, Hungary.
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Wu, D, Hu, R, Zheng, Y, Jiang, J, Sharma, N & Blumenstein, M 2019, 'Feature-Dependent Graph Convolutional Autoencoders with Adversarial Training Methods', The 2019 International Joint Conference on Neural Networks (IJCNN 2019), International Joint Conference on Neural Networks, IEE, Budapest, Hungary.
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Wu, D, Liu, J, Sui, Y, Chen, S & Xue, J 2019, 'Precise Static Happens-Before Analysis for Detecting UAF Order Violations in Android', Proceedings of 12th International Conference on Software Testing, Verification and Validation, IEEE Conference on Software Testing, Validation and Verification, IEEE, Xi'an, China.
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Wu, D, Sharma, N & Blumenstein, M 2018, 'An End-to-End Hierarchical Classification Approach for Similar Gesture Recognition', 2018 International Conference on Image and Vision Computing New Zealand (IVCNZ 2018), International Conference on Image and Vision Computing New Zealand, IEEE, New Zealand, pp. 73-78.
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Wu, D, Sharma, N & Blumenstein, M 2018, 'Similar Gesture Recognition using Hierarchical Classification Approach in RGB Videos', 2018 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2018, Digital Image Computing: Techniques and Applications, IEEE, Canberra, Australia.
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Xu, X, Sui, Y, Yan, H & Xue, J 2019, 'VFix: Value-Flow-Guided Precise Program Repair for Null Pointer Dereferences', Proceedings of 41th International Conference on Software Engineering, International Conference on Software Engineering, IEEE, Montreal, QC, Canada,.
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Yan, H, Chen, S, Sui, Y, Zhang, Y, Zou, C & Xue, J 2019, 'Per-Dereference Verification of Temporal Heap Safety via Adaptive Context-Sensitive Analysis', SAS 2019: Static Analysis, International Static Analysis Symposium, Spronger, Porto, Portugal, pp. 48-72.
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Yang, B, Wen, D, Qin, L, Zhang, Y, Chang, L & Li, R-H 2019, 'Index-based Optimal Algorithm for Computing K-Cores in Large Uncertain Graphs', 2019 IEEE 35nd International Conference on Data Engineering (ICDE), 2019 IEEE 35nd International Conference on Data Engineering (ICDE), IEEE, Macau SAR, China, pp. 64-75.
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Yang, H, Pan, S, Chen, L, Zhou, C & Zhang, P 2019, 'Low-bit quantization for attributed network representation learning', IJCAI International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence, IJCAI, Macao, pp. 4047-4053.
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Yang, Y, Zhang, W, Zhang, Y, Lin, X & Wang, L 2019, 'Selectivity estimation on set containment search', Database Systems for Advanced Applications (LNCS), International Conference on Database Systems for Advanced Applications, Springer, Chiang Mai, Thailand, pp. 330-349.
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Yang, Y, Zhang, Y, Zhang, W & Huang, Z 2019, 'Gb-KMV: An augmented KMV sketch for approximate containment similarity search', Proceedings - International Conference on Data Engineering, International Conference on Data Engineering, IEEE, Macao, Macao, pp. 458-469.
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Yeung, J & McGregor, C 2019, 'Analyzing countermeasure effectiveness utilizing big data analytics for space medicine decision support: A case study', Proceedings of the International Astronautical Congress, IAC, International Astronautical Congress, Washington D.C.
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Yin, R, Li, K, Lu, J & Zhang, G 2019, 'RsyGAN: Generative Adversarial Network for Recommender Systems', Proceedings of the International Joint Conference on Neural Networks, International Joint Conference on Neural Networks, IEEE, Budapest, Hungary.
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Yin, R, Lu, J, Li, K & Zhang, G 2019, 'Enhancing fashion recommendation with visual compatibility relationship', The Web Conference 2019 - Proceedings of the World Wide Web Conference, WWW 2019, World Wide Web Conference, ACM, San Francisco CA USA, pp. 3434-3440.
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Yu, H, Lu, J, Xu, J & Zhang, G 2019, 'A Hybrid Incremental Regression Neural Network for Uncertain Data Streams', Proceedings of the International Joint Conference on Neural Networks, International Joint Conference on Neural Networks, IEEE, Budapest, Hungary.
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Zhang, C, Qin, L, Zhang, W, Zhang, F, Zhang, Y & Lin, X 2019, 'Selecting the optimal groups: Efficiently computing skyline k-cliques', International Conference on Information and Knowledge Management, Proceedings, pp. 1211-1220.
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Zhang, C, Zhang, Y, Zhang, W, Qin, L & Yang, J 2019, 'Efficient maximal spatial clique enumeration', Proceedings - International Conference on Data Engineering, International Conference on Data Engineering, IEEE, Macao, Macao, pp. 878-889.
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Zhang, Q, Hao, P, Lu, J & Zhang, G 2019, 'Cross-domain Recommendation with Semantic Correlation in Tagging Systems', Proceedings of the International Joint Conference on Neural Networks, International Joint Conference on Neural Networks, IEEE, Budapest, Hungary.
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Zhang, W, Zhang, F, Zhang, Y & Qin, L 2019, 'Cohesive subgraphs with hierarchical decomposition on big graphs', Database Systems for Advanced Applications DASFAA 2019 International Workshops: BDMS, BDQM, and GDMA Chiang Mai, Thailand, April 22–25, 2019 Proceedings, International Conference on Database Systems for Advanced Applications, Springer, Thailand, pp. 587-589.
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Zhang, Y, Qin, L, Zhang, F & Zhang, W 2019, 'Hierarchical decomposition of big graphs', Proceedings - International Conference on Data Engineering, International Conference on Data Engineering, IEEE, Macao, Macao, pp. 2064-2067.
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Zhang, Y, Zhu, Y, Huang, L, Zhang, G & Lu, J 2019, 'Characterizing the potential of being emerging generic technologies: A Bi-Layer Network Analytics-based Prediction Method', 17th International Conference on Scientometrics and Informetrics, ISSI 2019 - Proceedings, International Conference on Scientometrics & Informetrics, Edizioni Efesto, Rome, Italy, pp. 1436-1447.
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Zheng, C, Cai, Y, Xu, J, Leung, H-F & Xu, G 1970, 'A Boundary-aware Neural Model for Nested Named Entity Recognition', Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), Association for Computational Linguistics.
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Zhou, W, Zomaya, A, Fox, G, Martino, BD, Yang, L, Dong, M, Ranjan, R, Cafaro, M & Wang, W 2019, 'Message from the ISPA 2018 Chairs', Proceedings - 16th IEEE International Symposium on Parallel and Distributed Processing with Applications, 17th IEEE International Conference on Ubiquitous Computing and Communications, 8th IEEE International Conference on Big Data and Cloud Computing, 11th IEEE International Conference on Social Computing and Networking and 8th IEEE International Conference on Sustainable Computing and Communications, ISPA/IUCC/BDCloud/SocialCom/SustainCom 2018, pp. XXII-XXIII.
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Zhou, Z, Liu, S, Xu, G & Zhang, W 2019, 'On Completing Sparse Knowledge Base with Transitive Relation Embedding', Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence, AAAI Conference on Artificial Intelligence, AAAI Press, Honolulu, Hawaii USA, pp. 3125-3132.
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Zhu, T & Yu, PS 2019, 'Applying differential privacy mechanism in artificial intelligence', Proceedings - International Conference on Distributed Computing Systems, International Conference on Distributed Computing Systems, IEEE, Dallas, TX, USA, pp. 1601-1609.
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Zuo, H, Zhang, G, Pedrycz, W & Lu, J 2019, 'Domain Selection of Transfer Learning in Fuzzy Prediction Models', IEEE International Conference on Fuzzy Systems.
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Zürn, X, Bakker, S, Broekhuijsen, M, Zijlema, A, Van Gennip, D & Van Den Hoven, E 2019, 'Stimulating photo curation on smartphones', CHIIR 2019 - Proceedings of the 2019 Conference on Human Information Interaction and Retrieval, Conference on Human Information Interaction and Retrieval, ACM, Glasgow, Scotland, pp. 255-259.
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Other

Gill, A 2019, 'Adaptive Data Design'.

Gill, A 2019, 'Adaptive Enterprise Data Modelling and Design for Machine Learning & Deep Learning'.

Livesu, M, Pietroni, N, Puppo, E, Sheffer, A & Cignoni, P 2019, 'Loopy Cuts: Surface-Field Aware Block Decomposition for Hex-Meshing.'.

Mols, I 2019, 'Design for Everyday Life Reflection'.

Musial-Gabrys, K, Wahid-Ul-Ashraf, A & Budka, M 2019, 'Simulation and Augmentation of Social Networks for Building Deep Learning Models'.

Ureta, FG, Pietroni, N & Zorin, D 2019, 'Structurally optimized shells.'.

van den Hoven, E 2019, 'Keynote: Materialising Memories: Transforming personal remembering practices'.
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van den Hoven, E, Miller, L, Orth, D & van Rijswijk, H 2019, 'Panel on Remembering Relationships, Big Thinking with UTS, VIVID Ideas and Talks'.
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