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Publications

Chapters

Alshehri, M & Hussain, F 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.
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Alsinglawi, BS, Nguyen, QV, Gunawardana, U, Simoff, S, Maeder, A, Alshehri, M & Elkhodr, M 2019, 'Passive RFID Localization in the Internet of Things' in Recent Trends and Advances in Wireless and IoT-enabled Networks, Springer.
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Dasgupta, A, Gill, A & Hussain, F 2019, 'Privacy of IoT-Enabled Smart Home Systems' in IoT and Smart Home Automation, IntechOpen.
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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, 'Comparative study and numerical analysis' in Advances in Information Security, pp. 95-114.
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Jiang, J, Wen, S, Yu, S, Liu, B, Xiang, Y & Zhou, W 2019, 'Future directions and conclusion' in Advances in Information Security, pp. 179-181.
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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 large-scale networks' in Advances in Information Security, pp. 159-178.
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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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Jiang, J, Wen, S, Yu, S, Liu, B, Xiang, Y & Zhou, W 2019, 'Source identification under complete observations: A maximum likelihood (ML) source estimator' in Advances in Information Security, pp. 69-77.
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Jiang, J, Wen, S, Yu, S, Liu, B, Xiang, Y & Zhou, W 2019, 'Source identification under sensor observations: A Gaussian source estimator' in Advances in Information Security, pp. 89-93.
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Jiang, J, Wen, S, Yu, S, Liu, B, Xiang, Y & Zhou, W 2019, 'Source identification under snapshots: A sample path based source estimator' in Advances in Information Security, pp. 79-87.
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Jiang, J, Wen, S, Yu, S, Liu, B, Xiang, Y & Zhou, W 2019, 'User influence in the propagation of malicious attacks' in Advances in Information Security, pp. 21-39.
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Liu, W, Yin, Z & 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.
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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.

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, 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, pp. 545-608.
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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.
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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, vol. 27, no. 8, pp. 1546-1555.
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Alnefaie, A, Fiaidhi, J & Mohammed, S 2019, 'Ontology-based food recommendation system for seniors: A peer to peer networking approach', International Journal of Advanced Science and Technology, vol. 123, pp. 41-46.
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Alshehri, MD & Hussain, FK 2019, 'A fuzzy security protocol for trust management in the internet of things (Fuzzy-IoT)', Computing.
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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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Anaissi, A & Goyal, M 2019, 'Blending Association Rules for Knowledge Discovery in Big Data', Enabling Technologies and Architectures for Next-Generation Networking Capabilities, pp. 254-271.
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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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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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Beydoun, G, Hoffmann, A, Valencia-García, R, Shen, J & Gill, A 2019, 'Towards an assessment framework of reuse: a knowledge level analysis approach', Complex and Intelligent Systems.
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Bharill, N, Patel, OP, Tiwari, A, Mu, L, Li, DL, 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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Bharill, N, Tiwari, A, Malviya, A, Patel, OP, Gupta, A, Puthal, D, Saxena, A & Prasad, M 2019, 'Fuzzy knowledge based performance analysis on big data', Neurocomputing.
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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.
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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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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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C. A. Tirado Cortes, H. Chen, D. Sturnieks, J. Garcia Marin, S. Lord & C. Lin 2019, 'Evaluating Balance Recovery Techniques for Users Wearing Head-Mounted Display in VR', IEEE Transactions on Visualization and Computer Graphics, pp. 1-1.
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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.
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Cao, Z, Chuang, CH, King, JK & Lin, CT 2019, 'Multi-channel EEG recordings during a sustained-attention driving task', Scientific data, vol. 6, no. 1, p. 19.
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Cao, Z, Ding, W, Wang, YK, Hussain, FK, Al-Jumaily, A & Lin, CT 2019, 'Effects of repetitive SSVEPs on EEG complexity using multiscale inherent fuzzy entropy', Neurocomputing.
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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.
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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, K, Yao, L, Zhang, D, Wang, X, Chang, X & Nie, F 2019, 'A Semisupervised Recurrent Convolutional Attention Model for Human Activity Recognition.', IEEE transactions on neural networks and learning systems.
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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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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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Chubb, CT, Tomamichel, M & Korzekwa, K 2019, 'Moderate deviation analysis of majorization-based resource interconversion', PHYSICAL REVIEW A, vol. 99, no. 3.
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Cui, L, Wu, J, Pi, D, Zhang, P & Kennedy, P 2019, 'Dual Implicit Mining-Based Latent Friend Recommendation', IEEE Transactions on Systems Man and Cybernetics: Systems.
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Curiskis, SA, Drake, B, Osborn, TR & Kennedy, PJ 2019, 'An evaluation of document clustering and topic modelling in two online social networks: Twitter and Reddit', Information Processing and Management.
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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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Dimuro, GP, Lucca, G, Bedregal, B, Mesiar, R, Sanz, JA, Lin, CT & Bustince, H 2019, 'Generalized CF1F2-integrals: From Choquet-like aggregation to ordered directionally monotone functions', Fuzzy Sets and Systems.
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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.
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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.
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Ding, W, Lin, C-T & Pedrycz, W 2019, 'Multiple Relevant Feature Ensemble Selection Based on Multilayer Co-Evolutionary Consensus MapReduce.', IEEE Transactions on Cybernetics.
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Djebbara, Z, Fich, LB, Petrini, L & Gramann, K 2019, 'Sensory-motor brain dynamics reflect architectural affordances'.
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Du, X, Yin, H, Chen, L, Wang, Y, Yang, Y & Zhou, X 2019, 'Personalized Video Recommendation Using Rich Contents from Videos', IEEE Transactions on Knowledge and Data Engineering.
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Fahmidehgholami, M & Beydoun, G 2019, 'Big data analytics architecture design—An application in manufacturing systems', Computers and Industrial Engineering, vol. 128, pp. 948-963.
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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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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.
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Gu, X, Yu, Y, Li, Y, Li, J, Askari, M & Samali, B 2019, 'Experimental study of semi-active magnetorheological elastomer base isolation system using optimal neuro fuzzy logic control', Mechanical Systems and Signal Processing, vol. 119, pp. 380-398.
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Gupta, A, Agrawal, RK, Kirar, JS, Kaur, B, Ding, W, Lin, CT, Javier, AP & Prasad, M 2019, 'A hierarchical meta-model for multi-class mental task based brain-computer interfaces', Neurocomputing.
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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.
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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.
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Han, Y, Deng, Y, Cao, Z & Lin, CT 2019, 'An interval-valued Pythagorean prioritized operator-based game theoretical framework with its applications in multicriteria group decision making', Neural Computing and Applications.
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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, 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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Hua, J, Huang, ML & Huang, C 2019, 'Centrality Metrics’ Performance Comparisons on Stock Market Datasets', Symmetry, vol. 11, no. 7, pp. 1-15.
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Huang, C, Yao, L, Wang, X, Benatallah, B & Sheng, QZ 2019, 'Software Expert Discovery via Knowledge Domain Embeddings in a Collaborative Network', Pattern Recognition Letters.
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Hussain, S, Al-Hitmi, M, Khaliq, S, Hussain, A & Saqib, MA 2019, 'Implementation and comparison of particle swarm optimization and genetic algorithm techniques in combined economic emission dispatch of an independent power plant', Energies, vol. 12, no. 11.
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Islam, MR, Lu, H, Hossain, MJ & 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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Jay, B 2019, 'Intensional computation with higher-order functions', Theoretical Computer Science, vol. 768, pp. 76-90.
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Jiang, P, Li, R, Lu, H & Zhang, X 2019, 'Modeling of electricity demand forecast for power system', Neural Computing and Applications.
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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, 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, pp. 1-18.
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Khan, HU, Aruya, JA & Gill, A 2019, 'Web 2.0 Technologies Adoption Barriers for External Contacts and Participation: A Case Study of Federal Establishment of Africa', International Journal of Business Information Systems.

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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King, JT, Prasad, M, Tsai, T, Ming, YR & Lin, CT 2019, 'Influence of Time Pressure on Inhibitory Brain Control During Emergency Driving', IEEE Transactions on Systems Man and Cybernetics: Systems.
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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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Korzekwa, K, Chubb, CT & Tomamichel, M 2019, 'Avoiding Irreversibility: Engineering Resonant Conversions of Quantum Resources', PHYSICAL REVIEW LETTERS, vol. 122, no. 11.
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Laccone, F, Malomo, L, Froli, M, Cignoni, P & Pietroni, N 2019, 'Automatic Design of Cable-Tensioned Glass Shells', COMPUTER GRAPHICS FORUM.
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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, Cao, Z & Li, X 2019, 'Optimizing streaming graph partitioning via a heuristic greedy method and caching strategy', Optimization Methods and Software.
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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, 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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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.
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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, pp. 1-1.
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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.
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Lin, C-T, King, J-T, Chuang, C-H, Ding, W, Chuang, W-Y, Liao, L-D & Wang, Y-K 2019, 'Exploring the Brain Responses to Driving Fatigue Through Simultaneous EEG and fNIRS Measurements.', International journal of neural systems, p. 1950018.
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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.
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Liu, C, Nitschke, P, Williams, SP & Zowghi, D 2019, 'Data quality and the Internet of Things', Computing.
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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, 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.
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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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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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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, CT, Bartlett, SD & Zhang, WW 2019, 'Quantum topology identification with deep neural networks and quantum walks', npj Computational Materials, vol. 5, no. 1.
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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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Musial-Gabrys, K, Wahid-Ul-Ashraf, A & Budka, M 2019, 'Simulation and Augmentation of Social Networks for Building Deep Learning Models'.
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Naseer, A, Rani, M, Naz, S, Razzak, MI, Imran, M & Xu, G 2019, 'Refining Parkinson’s neurological disorder identification through deep transfer learning', Neural Computing and Applications.
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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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Oberst, S, Lenz, M, Lai, JCS & Evans, TA 2019, 'Termites manipulate moisture content of wood to maximise feeding', Biology Letters, vol. 15, no. 7.
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Ojeda, A, Klug, M, Kreutz-Delgado, K, Gramann, K & Mishra, J 2019, 'A Bayesian Framework for Unifying Data Cleaning, Source Separation and Imaging of Electroencephalographic Signals'.
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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 for Learning and Teaching, vol. 5, no. 1.
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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, 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, pp. 1-14.
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Prokopenko, M, Harré, M, Lizier, J, Boschetti, F, Peppas, P & Kauffman, S 2019, 'Self-referential basis of undecidable dynamics: From the Liar paradox and the halting problem to the edge of chaos', Physics of Life Reviews.
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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-BASEL, 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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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, Imran, M & Xu, G 2019, 'Efficient Brain Tumor Segmentation with Multiscale Two-Pathway-Group Conventional Neural Networks', IEEE Journal of Biomedical and Health Informatics.
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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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Razzak, MI, Imran, M & Xu, G 2019, 'Big data analytics for preventive medicine', Neural Computing and Applications.
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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 [Application Notes]', 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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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, pp. 1-10.
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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, 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 & MANAGEMENT, vol. 56, no. 3, pp. 674-686.
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Talaei-Khoei, A, Wilson, JM & Kazemi, SF 2019, 'Period of measurement in time-series predictions of disease counts from 2007 to 2017 in northern Nevada: Analytics experiment', Journal of Medical Internet Research, vol. 21, no. 1.
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Tien-Thong, ND, 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, vol. 27, no. 6, pp. 1160-1169.
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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.
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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.
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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, 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.
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Wang, G, Lu, J, Choi, KS & Zhang, G 2019, 'A Transfer-Based Additive LS-SVM Classifier for Handling Missing Data', IEEE Transactions on Cybernetics.
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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, W, Zhang, G & Lu, J 2019, 'Hierarchy Visualization for Group Recommender Systems', IEEE Transactions on Systems Man and Cybernetics: Systems, pp. 1-12.
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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.
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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 & Chen, L 2019, 'Enumerating k-vertex connected components in large graphs', Proceedings - International Conference on Data Engineering, vol. 2019-April, pp. 52-63.
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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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Wu, L, Liu, Q, Zhou, W, Mao, G, Huang, J & Huang, H 2019, 'A Semantic Web-Based Recommendation Framework of Educational Resources in E-Learning', Technology Knowledge and Learning.
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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.
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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, LY, Wang, QY, Cao, Z & Liang, Y 2019, 'Descriptor Selection Improvements for Quantitative Structure-Activity Relationships', International Journal of Neural Systems.
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Xiao, G, Zheng, Z, Jiang, B & Sui, Y 2019, 'An Empirical Study of Regression Bug Chains in Linux', IEEE Transactions on Reliability.

Xiong, P, Zhang, L, Zhu, T, Li, G & Zhou, W 2019, 'Private collaborative filtering under untrusted recommender server', Future Generation Computer Systems.
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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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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.
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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.
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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.
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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, 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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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, pp. 1-16.
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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.
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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.
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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.
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Zhang, F, Li, C, Zhang, Y, Qin, L & Zhang, W 2019, 'Finding Critical Users in Social Communities: The Collapsed Core and Truss Problems', IEEE Transactions on Knowledge and Data Engineering.
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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 Computation.
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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.
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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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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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Zhu, T, Xiong, P, Li, G, Zhou, W & Yu, PS 2019, 'Differentially private model publishing in cyber physical systems', Future Generation Computer Systems.
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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

Abu Ul Fazal, M, Karim, S, Ferguson, S & Johnston, A 2019, 'Vinfomize: A framework for multiple voice-based information communication', ACM International Conference Proceeding Series, pp. 143-147.
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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', International Conference on Robotics and Automation, Canada.
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Anwar, M & Gill, A 2019, 'A Review of the Seven Modelling Approaches for Digital Ecosystem Architecture', 21st IEEE Conference on Business Informatics, Moscow, Russia.

Bai, L, Yao, L, Kanhere, SS, Wang, X & Sheng, QZ 2019, 'STG2Seq: Spatial-Temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting', Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}, International Joint Conferences on Artificial Intelligence Organization.
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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 43rd Conference on Local Computer Networks, USA, pp. 597-605.
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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', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 29-42.
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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.
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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), 2019, 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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Borah, P, Gupta, D & Prasad, M 2019, 'Improved 2-norm Based Fuzzy Least Squares Twin Support Vector Machine', Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018, 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', http://www.nime.org/proceedings/2019/, New Interfaces for Musical Expression, Porto Alegre, Brazil, pp. 286-291.

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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Butler, A, Xu, G & Musial-Gabrys, K 2018, 'Research Performance Reporting is Fallacious', International Conference on Behavioral, Economic, and Socio-Cultural Computing, IEEE, Taiwan.
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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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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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Dasgupta, A, Gill, A & Hussain, F 2019, 'A Review of General Data Protection Regulation for Supply Chain Ecosystem', https://link.springer.com/chapter/10.1007/978-3-030-22263-5_44, International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, Springer, Cham, Sydney, Australia.
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Demediuk, S, Tamassia, M, Li, X & Raffe, WL 2019, 'Challenging Al: Evaluating the Effect of MCTS-Driven Dynamic Difficulty Adjustment on Player Enjoyment', PROCEEDINGS OF THE AUSTRALASIAN COMPUTER SCIENCE WEEK MULTICONFERENCE (ACSW 2019), Australasian Computer Science Week Multiconference (ACSW), ASSOC COMPUTING MACHINERY, Sydney, AUSTRALIA.
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Dong, M, Yao, L, Wang, X, Benatallah, B & Huang, C 2019, 'Similarity-aware deep attentive model for clickbait detection', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 56-69.
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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 2018, Palermo, Italy.
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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', Recent Advances in Structural Dynamics, Lyon, France.
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Gong, S, Oberst, S & Xinwen, W 2019, 'A non-linear model of rubber shear springs validated by experiments', Nonlinear Dynamics, Rome, Italy.
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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, U, Gupta, D & Prasad, M 2019, 'Kernel Target Alignment based Fuzzy Least Square Twin Bounded Support Vector Machine', Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018, 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 2019, Copenhagen.
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Haque, MN, Mathieson, L & Moscato, P 2019, 'A Memetic Algorithm Approach to Network Alignment', The Genetic and Evolutionary Computation Conference, Prague, Czech Republic.
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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, pp. 1015-1019.
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Huang, ML, YUE, Z, Liang, J, Nguyen, QV & Luo, Z 2019, 'Stroke Data Analysis through a HVN Visual Data Mining Platform', Proc. of 23rd International Conference on Information Visualization, 23rd International Conference on Information Visualization, IEEE CSP, Adelaide, Australia.
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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', 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, pp. 858-865.
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Islam, MR, Lu, HY, 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', Congress on evolutionary computation, IEEE, Wellington, New Zealand, pp. 835-842.
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Jay, B 2019, 'A simpler lambda calculus', PEPM 2019 - Proceedings of the 2019 ACM SIGPLAN Workshop on Partial Evaluation and Program Manipulation, ACM SIGPLAN Workshop on Partial Evaluation and Program Manipulation, ACM, Portugal, pp. 1-9.
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Li, Q, Zhong, J, Li, Q, Cao, Z & Wang, C 2019, 'Enhancing network embedding with implicit clustering', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 452-467.
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Li, W, Zhang, Y, Qiao, M, Chang, L, Qin, L & Lin, X 2019, 'Scaling distance labeling on small-world networks', Proceedings of the ACM SIGMOD International Conference on Management of Data, pp. 1060-1077.
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LU, S, Oberst, S, Zhang, G & Luo, Z 2019, 'Period adding bifurcations in dynamic pricing processes', IEEE CIFEr 2019: 2019 IEEE Conference on Computational Intelligence for Financial Engineering and Economics, Shenzhen.
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Madhisetty, S & Williams, MA 2019, 'Managing privacy through key performance indicators when photos and videos are shared via social media', Advances in Intelligent Systems and Computing, pp. 1103-1117.
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Madhisetty, S & Williams, MA 2019, 'The role of trust and control in managing privacy when photos and videos are stored or shared', Advances in Intelligent Systems and Computing, 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, 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.
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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.
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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, Wang, Y, Jin, D & Dang, J 2019, 'Community Detection in Social Networks Considering Topic Correlations', Proceedings of the AAAI Conference on Artificial Intelligence, Thirty Third AAAI Conference on Artificial Intelligence, Hawaii, USA.
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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, pp. 923-935.
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Ng, CK, Jiang, F, Zhang, LY & Zhou, W 2019, 'Static malware clustering using enhanced deep embedding method', Concurrency Computation.
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Ning, G, Liu, P, Fan, X & Zhang, C 2018, 'A top-down approach to articulated human pose estimation and tracking', Computer Vision – ECCV 2018 Workshops, European Conference on Computer Vision 2018, Springer, Germany, pp. 227-234.
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Ojha, S, Gudi, SLKC, Vitale, J, Williams, MA & Johnston, B 2019, 'I remember what you did: A behavioural guide-robot', Advances in Intelligent Systems and Computing, pp. 273-282.
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Paryani, S & Ramadan-Jradi, R 2018, 'The Impact of Flipped Learning on Student Performance and Engagement: A Systematic Literature Review', International Journal on Learning and Teaching, International Conference on Learning and Teaching, Singapore.
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Pelchen, T & Lister, R 2019, '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, ACM, pp. 11-20.
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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, 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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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.
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Rajora, S, Kumar Vishwakarma, D, Singh, K & Prasad, M 2019, 'CSgI: A Deep Learning based approach for Marijuana Leaves Strain Classification', 2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference, IEMCON 2018, 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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Saqib, M, Daud Khan, S, Sharma, N, Scully-Power, P, Butcher, P, Colefax, A & Blumenstein, M 2019, 'Real-Time Drone Surveillance and Population Estimation of Marine Animals from Aerial Imagery', International Conference Image and Vision Computing New Zealand.
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Shah, S & Goyal, M 2019, 'Anomaly Detection in Social Media Using Recurrent Neural Network', Computational Science – ICCS 2019 19th International Conference Faro, Portugal, June 12–14, 2019 Proceedings, Part IV, 19th International Conference on Computational Science, Springer, Faro, Portugal, pp. 74-83.

Skillicorn, D, Alsadhan, N, Billingsley, R & Williams, MA 2019, 'Measuring Human Emotion in Short Documents to Improve Social Robot and Agent Interactions', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 29-41.
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Taghikhah, F, Raffe, WL, Mitri, G, Du Toit, S, Voinov, A & Garcia, JA 2019, 'Last Island: Exploring Transitions to Sustainable Futures through Play', PROCEEDINGS OF THE AUSTRALASIAN COMPUTER SCIENCE WEEK MULTICONFERENCE (ACSW 2019), Australasian Computer Science Week Multiconference (ACSW), ASSOC COMPUTING MACHINERY, Sydney, AUSTRALIA.
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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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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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Wu, D, Chen, J, Sharma, N, Pan, S, Long, G & Blumenstein, M 2019, 'Adversarial Action Data Augmentation for Similar Gesture Action Recognition', The 2019 International Joint Conference on Neural Networks (IJCNN), Budapest, Hungary.

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.
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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 2019, 'Similar Gesture Recognition using Hierarchical Classification Approach in RGB Videos', 2018 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2018.
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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.

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, Y, Zhang, W, Zhang, Y, Lin, X & Wang, L 2019, 'Selectivity estimation on set containment search', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 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, pp. 458-469.
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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, pp. 878-889.
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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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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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Zurn, X, Broekhuijsen, M, van Gennip, D, Bakker, S, Zijlema, A & van den Hoven, E 2019, 'Stimulating Photo Curation on Smartphones', PROCEEDINGS OF THE 2019 CONFERENCE ON HUMAN INFORMATION INTERACTION AND RETRIEVAL (CHIIR'19), 4th ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR), ASSOC COMPUTING MACHINERY, Univ Strathclyde, Glasgow, SCOTLAND, pp. 255-259.
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Other

Cheng, H-C, Hsieh, M-H & Tomamichel, M 2019, 'Quantum Sphere-Packing Bounds With Polynomial Prefactors'.

Gill, A 2019, 'Adaptive Data Design'.

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

Wang, X, Fang, K & Tomamichel, M 2019, 'On Converse Bounds for Classical Communication Over Quantum Channels'.