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Publications

Books

Ashraf, J, Hussain, OK, Hussain, FK & Chang, EJ 2018, Measuring and Analysing the Use of Ontologies: A Semantic Framework for Measuring Ontology Usage (Studies in Computational Intelligence Vol 767), Springer, Switzerland.
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Chapters

Dieci, R & He, XT 2018, 'Heterogeneous Agent Models in Finance' in Hommes, C & LeBaron, B (eds), Handbook of Computational Economics, Elsevier, pp. 257-328.
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Gil-Lafuente, AM, Merigó, JM, Dass, BK & Verma, R 2018, 'Preface', pp. v-vii.

Liu, S & Li, G 2018, 'Personalized Hotel Recommendation based on Social Networks' in Gursoy, D (ed), Routledge Handbook of Hospitality Marketing, Routledge, UK.
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Liu, W & Quan, D 2018, 'Scalable Multimodal Factorization for Learning from Very Big Data' in Seng, KP, Ang, L-M, Gao, J & Liew, AW-C (eds), Multimodal Analytics for Next-Generation Big Data Technologies and Applications, Spinger, Switzerland.
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Song, K, Feng, S, Gao, W, Wang, D, Chen, L & Zhang, C 2018, 'Build emotion lexicon from microblogs by combining effects of seed words and emoticons in a heterogeneous graph' in Social Media Content Analysis: Natural Language Processing and Beyond, World Scientific, Singapore, pp. 171-195.
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Stoianoff, N & Wright, EA 2018, 'Fair Use and Traditional Cultural Expressions' in Corbett, S & Lai, JC (eds), Making Copyright Work for the Asian Pacific: Juxtaposing Harmonisation with Flexibility, ANU Press, Australia, pp. 75-94.
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Journal articles

Abolhasan, M, Abdollahi, M, Ni, W, Jamalipour, A, Shariati, N & Lipman, J 2018, 'A Routing Framework for Offloading Traffic from Cellular Networks to SDN-based Multi-Hop Device-to-Device Networks', IEEE Transactions on Network and Service Management, vol. 15, no. 4, pp. 1516-1531.
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Alam, M, Jan, MA, Shu, L, He, X & Chen, Y 2018, 'Editorial: Current and Future Trends in Wireless Communications Protocols and Technologies', Mobile Networks and Applications, vol. 23, no. 3, pp. 377-381.
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Alam, M, Rayes, A, He, X, Atiquzzaman, M, Lloret, J & Tsang, KF 2018, 'Guest Editorial Introduction to the Special Issue on Dependable Wireless Vehicular Communications for Intelligent Transportation Systems (ITS)', IEEE Transactions on Intelligent Transportation Systems, vol. 19, no. 3, pp. 949-952.
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Aldebei, KW, He, X, Jia, W & Weichang Yeh 2018, 'SUDMAD: Sequential and unsupervised decomposition of a multi-author document based on a hidden markov model', Journal of the Association for Information Science and Technology, vol. 69, no. 2, pp. 201-214.
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Alfaro-García, VG, Merigó, JM, Gil-Lafuente, AM & Kacprzyk, J 2018, 'Logarithmic aggregation operators and distance measures', International Journal of Intelligent Systems, vol. 33, no. 7, pp. 1488-1506.
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Ali, AR, Gabrys, B & Budka, M 2018, 'Cross-domain Meta-learning for Time-series Forecasting', Procedia Computer Science, vol. 126, pp. 9-18.
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Alshehri, MD, Hussain, F & Hussain, O 2018, 'Clustering-Driven Intelligent Trust Management Methodologyfor the Internet of Things (CITM-IoT)', Mobile Networks and Applications, vol. 23, no. 3, pp. 419-431.
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Andrade-Valbuena, NA & Merigo, JM 2018, 'Outlining new product development research through bibliometrics: Analyzing journals, articles and researchers', Journal of Strategy and Management, vol. 11, no. 3, pp. 328-350.
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Anshar, M & Williams, MA 2018, 'Evolving robot empathy towards humans with motor disabilities through artificial pain generation', AIMS Neuroscience, vol. 5, no. 1, pp. 56-73.
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Avilés-Ochoa, E, León-Castro, E, Perez-Arellano, LA & Merigó, JM 2018, 'Government transparency measurement through prioritized distance operators', Journal of Intelligent and Fuzzy Systems, vol. 34, no. 4, pp. 2783-2794.
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Baier-Fuentes, H, Cascón-Katchadourian, J, Sánchez, ÁM, Herrera-Viedma, E & Merigó, J 2018, 'A Bibliometric Overview of the International Journal of Interactive Multimedia and Artificial Intelligence', International Journal of Interactive Multimedia and Artificial Intelligence, vol. 5, no. 3, pp. 9-9.
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Bargi, A, Xu, YD & Piccardi, M 2018, 'AdOn HDP-HMM: An Adaptive Online Model for Segmentation and Classification of Sequential Data', IEEE Transactions on Neural Networks and Learning Systems, pp. 3953-3968.
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Beck, D, Thoms, JAI, Palu, C, Herold, T, Shah, A, Olivier, J, Boelen, L, Huang, Y, Chacon, D, Brown, A, Babic, M, Hahn, C, Perugini, M, Zhou, X, Huntly, BJ, Schwarzer, A, Klusmann, J-H, Berdel, WE, Wörmann, B, Büchner, T, Hiddemann, W, Bohlander, SK, To, LB, Scott, HS, Lewis, ID, D'Andrea, RJ, Wong, JWH & Pimanda, JE 2018, 'A four-gene LincRNA expression signature predicts risk in multiple cohorts of acute myeloid leukemia patients.', Leukemia, vol. 32, no. 2, pp. 263-272.
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Blanco-Mesa, F, Gil-Lafuente, AM & Merigo, JM 2018, 'Dynamics of stakeholder relations with multi-person aggregation', Kybernetes, vol. 47, no. 9, pp. 1801-1820.
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Blanco-Mesa, F, Gil-Lafuente, AM & Merigó, JM 2018, 'Subjective stakeholder dynamics relationships treatment: a methodological approach using fuzzy decision-making', Computational and Mathematical Organization Theory, vol. 24, no. 4, pp. 441-472.
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Blanco-Mesa, F, León-Castro, E & Merigó, JM 2018, 'Bonferroni induced heavy operators in ERM decision-making: A case on large companies in Colombia', Applied Soft Computing Journal, vol. 72, pp. 371-391.
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Blanco-Mesa, F, Maria Gil-Lafuente, A & Merigo, JM 2018, 'NEW AGGREGATION OPERATORS FOR DECISION-MAKING UNDER UNCERTAINTY: AN APPLICATIONS IN SELECTION OF ENTREPRENEURIAL OPPORTUNITIES', TECHNOLOGICAL AND ECONOMIC DEVELOPMENT OF ECONOMY, vol. 24, no. 2, pp. 335-357.
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Bo Han, Tsang, IW, Ling Chen, Yu, CP & Sai-Fu Fung 2018, 'Progressive Stochastic Learning for Noisy Labels.', IEEE transactions on neural networks and learning systems, vol. 29, no. 10, pp. 5136-5148.
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Cancino, CA, Merigo, JM, Torres, JP & Diaz, D 2018, 'A bibliometric analysis of venture capital research', Journal of Economics, Finance and Administrative Science, vol. 23, no. 45, pp. 182-195.
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Chi, L, Li, B, Zhu, X, Pan, S & Chen, L 2018, 'Hashing for Adaptive Real-Time Graph Stream Classification With Concept Drifts.', IEEE Transactions on Cybernetics, vol. 48, no. 5, pp. 1591-1604.
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Chiu, SK, Saw, J, Huang, Y, Sonderegger, SE, Wong, NC, Powell, DR, Beck, D, Pimanda, JE, Tremblay, CS & Curtis, DJ 2018, 'A novel role for Lyl1 in primitive erythropoiesis', DEVELOPMENT, vol. 145, no. 19.
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Chotipant, S, Hussain, FK & Hussain, OK 2018, 'SERNOTATE: An automated approach for business service description annotation for efficient service retrieval and composition', Concurrency and Computation: Practice and Experience, vol. 30, no. 1.
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Dai, M, Cheng, S & He, XS 2018, 'Hybrid generative–discriminative hash tracking with spatio-temporal contextual cues', Neural Computing and Applications, vol. 29, no. 2, pp. 389-399.
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Dawid, H, He, X-ZT & Semmler, W 2018, 'JEDC Special Issue in Honour of Prof Carl Chiarella', JOURNAL OF ECONOMIC DYNAMICS & CONTROL, vol. 91, pp. 1-6.
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Deng, C, Chen, Z, Liu, X, Gao, X & Tao, D 2018, 'Triplet-Based Deep Hashing Network for Cross-Modal Retrieval', IEEE Transactions on Image Processing, vol. 27, no. 8, pp. 3893-3903.
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Deng, C, Liu, X, Li, C & Tao, D 2018, 'Active multi-kernel domain adaptation for hyperspectral image classification', Pattern Recognition, vol. 77, pp. 306-315.
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Deng, Z, Chen, J, Zhang, T, Cao, L & Wang, S 2018, 'Generalized Hidden-Mapping Minimax Probability Machine for the training and reliability learning of several classical intelligent models', Information Sciences, vol. 436-437, pp. 302-319.
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Ding, C & Tao, D 2018, 'Trunk-Branch Ensemble Convolutional Neural Networks for Video-Based Face Recognition.', IEEE transactions on pattern analysis and machine intelligence, vol. 40, no. 4, pp. 1002-1014.
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Dong, X, Dong, J, Zhou, H, Sun, J & Tao, D 2018, 'Automatic Chinese Postal Address Block Location Using Proximity Descriptors and Cooperative Profit Random Forests', IEEE Transactions on Industrial Electronics, vol. 65, no. 5, pp. 4401-4412.
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Dong, X, Gong, Y & Cao, L 2018, 'F-NSP+: A fast negative sequential patterns mining method with self-adaptive data storage', Pattern Recognition, vol. 84, pp. 13-27.
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Du, B, Wang, S, Xu, C, Wang, N, Zhang, L & Tao, D 2018, 'Multi-Task Learning for Blind Source Separation', IEEE Transactions on Image Processing, vol. 27, no. 9, pp. 4219-4231.
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Du, Y, Xu, C & Tao, D 2018, 'Matrix Factorization for Collaborative Budget Allocation', IEEE Transactions on Automation Science and Engineering, vol. 15, no. 4, pp. 1471-1482.
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Durán Santomil, P, Otero González, L, Martorell Cunill, O & Merigó Lindahl, JM 2018, 'Backtesting an equity risk model under Solvency II', Journal of Business Research, vol. 89, pp. 216-222.
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Engemann, KJ, Merigó, JM, Terceño, A & Yager, RR 2018, 'Foreword', International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems, vol. 26, pp. V-VII.
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Esmaili, N, Piccardi, M, Kruger, B & Girosi, F 2018, 'Analysis of healthcare service utilization after transport-related injuries by a mixture of hidden Markov models', PLoS ONE, vol. 13, no. 11, pp. 1-20.
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Fan, M, Zhang, X, Du, L, Chen, L & Tao, D 2018, 'Semi-Supervised Learning Through Label Propagation on Geodesics', IEEE Transactions on Cybernetics, vol. 48, no. 5, pp. 1486-1499.
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Fan, X, He, X, Xiang, C, Puthal, D, Gong, L, Nanda, P & Fang, G 2018, 'Towards System Implementation and Data Analysis for Crowdsensing BasedOutdoor RSS Maps', IEEE Access, vol. 6.
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Feng, X, Wan, W, Xu, RYD, Perry, S, Li, P & Zhu, S 2018, 'A novel spatial pooling method for 3D mesh quality assessment based on percentile weighting strategy', Computers & Graphics, vol. 74, pp. 12-22.
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Feng, X, Wan, W, Xu, RYD, Perry, S, Zhu, S & Liu, Z 2018, 'A new mesh visual quality metric using saliency weighting-based pooling strategy', Graphical Models, vol. 99, pp. 1-12.
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Feng, XIANG, Wan, W, Richard Yi Da Xu, Chen, H, Li, P & Sánchez, JA 2018, 'A perceptual quality metric for 3D triangle meshes based on spatial pooling', Frontiers of Computer Science, vol. 12, no. 4.
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Fu, H, Gong, M, Wang, C & Tao, D 2018, 'MoE-SPNet: A mixture-of-experts scene parsing network', Pattern Recognition, vol. 84, pp. 226-236.
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Fu, Q, Luo, Y, Wen, Y, Tao, D, Li, Y & Duan, LY 2018, 'Toward Intelligent Product Retrieval for TV-to-Online (T2O) Application: A Transfer Metric Learning Approach', IEEE Transactions on Multimedia, vol. 20, no. 8, pp. 2114-2125.
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Gheisari, S, Catchpoole, DR, Charlton, A & Kennedy, PJ 2018, 'Convolutional Deep Belief Network with Feature Encoding for Classification of Neuroblastoma Histological Images.', Journal of Pathology Informatics, vol. 9, pp. 1-28.
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Gheisari, S, Catchpoole, DR, Charlton, A, Melegh, Z, Gradhand, E & Kennedy, PJ 2018, 'Computer Aided Classification of Neuroblastoma Histological Images Using Scale Invariant Feature Transform with Feature Encoding.', Diagnostics, vol. 8, no. 3, pp. 1-18.
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Gong, C, Liu, T, Tang, Y, Yang, J, Yang, J & Tao, D 2018, 'A Regularization Approach for Instance-Based Superset Label Learning.', IEEE Transactions on Cybernetics, vol. 48, no. 3, pp. 967-978.
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Goodswen, SJ, Kennedy, PJ & Ellis, JT 2018, 'A Gene-Based Positive Selection Detection Approach to Identify Vaccine Candidates Using Toxoplasma gondii as a Test Case Protozoan Pathogen.', Frontiers in Genetics, vol. 9.
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Gu, K, Tao, D, Qiao, JF & Lin, W 2018, 'Learning a No-Reference Quality Assessment Model of Enhanced Images with Big Data', IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 4, pp. 1301-1313.
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Gu, Y, Gu, M, Long, Y, Xu, G, Yang, Z, Zhou, J & Qu, W 2018, 'An enhanced short text categorization model with deep abundant representation', World Wide Web, vol. 21, no. 6, pp. 1705-1719.
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Gui, J, Liu, T, Sun, Z, Tao, D & Tan, T 2018, 'Fast Supervised Discrete Hashing.', IEEE transactions on pattern analysis and machine intelligence, vol. 40, no. 2, pp. 490-496.
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Gui, J, Liu, T, Sun, Z, Tao, D & Tan, T 2018, 'Supervised Discrete Hashing With Relaxation', IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 3, pp. 608-617.
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Guo, F, Wang, W, Shen, J, Shao, L, Yang, J, Tao, D & Tang, YY 2018, 'Video Saliency Detection Using Object Proposals', IEEE Transactions on Cybernetics, vol. 2018.
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Guo, K, Liu, L, Xu, X, Xu, D & Tao, D 2018, 'GoDec+: Fast and Robust Low-Rank Matrix Decomposition Based on Maximum Correntropy', IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 6, pp. 2323-2336.
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Guo, P, Liu, M, Wu, J, Xue, Z & He, X 2018, 'Energy-Efficient Fault-Tolerant Scheduling Algorithm for Real-Time Tasks in Cloud-Based 5G Networks', IEEE Access, vol. 6, pp. 53671-53683.
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Hao, S, Shi, C, Niu, Z & Cao, L 2018, 'Concept coupling learning for improving concept lattice-based document retrieval', Engineering Applications of Artificial Intelligence, vol. 69, pp. 65-75.
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He, X, He, Z & Zhu, X 2018, 'Editorial Notes', Economic Modelling, vol. 71, pp. 316-317.
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He, XZ, Li, K & Li, Y 2018, 'Asset allocation with time series momentum and reversal', Journal of Economic Dynamics and Control, vol. 91, pp. 441-457.
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He, X-Z, Li, K & Wang, C 2018, 'Time-varying economic dominance in financial markets: A bistable dynamics approach.', Chaos, vol. 28, no. 5, pp. 1-19.
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Ho, N, Peng, H, Mayoh, C, Liu, PY, Atmadibrata, B, Marshall, GM, Li, J & Liu, T 2018, 'Delineation of the frequency and boundary of chromosomal copy number variations in paediatric neuroblastoma', CELL CYCLE, vol. 17, no. 6, pp. 749-758.
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Hu, L, Chen, Q, Zhao, H, Jian, S, Cao, L & Cao, J 2018, 'Neural Cross-Session Filtering: Next-Item Prediction Under Intra- and Inter-Session Context', IEEE Intelligent Systems, vol. 33, no. 6, pp. 57-67.
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Huang, X, Zhang, J, Wu, Q, Fan, L & Yuan, C 2018, 'A coarse-to-fine algorithm for matching and registration in 3D cross-source point clouds', IEEE Transactions on Circuits and Systems for Video Technology, vol. 28, no. 10, pp. 2965-2977.
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Huang, Y, Cao, L, Zhang, J, Pan, L & Liu, Y 2018, 'Exploring feature coupling and model coupling for image source identification', IEEE Transactions on Information Forensics and Security, vol. 13, no. 12, pp. 3108-3121.
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Huque, MH, Anderson, C, Walton, R, Woolford, S & Ryan, L 2018, 'Smooth individual level covariates adjustment in disease mapping', Biometrical Journal, vol. 60, no. 3, pp. 597-615.
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Hussain, W & Hussain, F 2018, 'Comparing time series with machine learning-based prediction approaches for violation management in cloud SLAs', Future Generation Computer Systems.
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Hussain, W, Hussain, FK, Hussain, O, Bagia, R & Chang, E 2018, 'Risk-based framework for SLA violation abatement from the cloud service provider’s perspective', The Computer Journal, vol. 61, no. 9, pp. 1306-1322.
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Jan, MA, Nanda, He, XS & Liu, RP 2018, 'A Sybil Attack Detection Scheme for a Forest Wildfire Monitoring Application', Future Generation Computer Systems: the international journal of grid computing: theory, methods and applications, vol. 80, pp. 613-626.
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Jan, MA, Tan, Z, He, X & Ni, W 2018, 'Moving towards highly reliable and effective sensor networks', Ad-Hoc and Sensor Wireless Networks, vol. 40, no. 3-4, pp. 163-168.
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Ji, K, Chen, Z, Sun, R, Ma, K, Yuan, Z & Xu, G 2018, 'GIST: A generative model with individual and subgroup-based topics for group recommendation', Expert Systems with Applications, vol. 94, pp. 81-93.
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Jian, S, Cao, L, Lu, K & Gao, H 2018, 'Unsupervised Coupled Metric Similarity for Non-IID Categorical Data', IEEE Transactions on Knowledge and Data Engineering, vol. 30, no. 9, pp. 1810-1823.
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Jiang, X, Pan, S, Long, G, Xiong, F, Jiang, J & Zhang, C 2018, 'Cost-sensitive parallel learning framework for insurance intelligence operation', IEEE Transactions on Industrial Electronics.
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Jing, D, Huang, Y, Liu, X, Sia, KCS, Zhang, JC, Tai, X, Wang, M, Toscan, CE, McCalmont, H, Evans, K, Mayoh, C, Poulos, RC, Span, M, Mi, J, Zhang, C, Wong, JWH, Beck, D, Pimanda, JE & Lock, RB 2018, 'Lymphocyte-Specific Chromatin Accessibility Pre-determines Glucocorticoid Resistance in Acute Lymphoblastic Leukemia', CANCER CELL, vol. 34, no. 6, pp. 906-+.
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Kang, G, Li, J & Tao, D 2018, 'Shakeout: A New Approach to Regularized Deep Neural Network Training', IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, vol. 40, no. 5, pp. 1245-1258.
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Kendrick, L, Musial, K & Gabrys, B 2018, 'Change point detection in social networksCritical review with experiments', Computer Science Review, vol. 29, pp. 1-13.
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Kocbek, S, Kocbek, P, Stozer, A, Zupanic, T, Groza, T & Stiglic, G 2018, 'Building interpretable models for polypharmacy prediction in older chronic patients based on drug prescription records.', PeerJ, vol. 6.
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Kusakunniran, W, Wu, Q, Ritthipravat, P & Zhang, J 2018, 'Hard exudates segmentation based on learned initial seeds and iterative graph cut', COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, vol. 158, pp. 173-183.
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Laengle, S, Modak, NM, Merigó, JM & De La Sotta, C 2018, 'Thirty years of the International Journal of Computer Integrated Manufacturing: a bibliometric analysis', International Journal of Computer Integrated Manufacturing, vol. 31, no. 12, pp. 1247-1268.
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Laengle, S, Modak, NM, Merigo, JM & Zurita, G 2018, 'Twenty-Five Years of Group Decision and Negotiation: A Bibliometric Overview', Group Decision and Negotiation, vol. 27, no. 4, pp. 505-542.
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Lan, C, Peng, H, McGowan, EM, Hutvagner, G & Li, J 2018, 'An isomiR expression panel based novel breast cancer classification approach using improved mutual information.', BMC medical genomics, vol. 11, no. Suppl 6, pp. 118-118.
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Lan, L, Wang, X, Zhang, S, Tao, D, Gao, W & Huang, TS 2018, 'Interacting Tracklets for Multi-Object Tracking', IEEE Transactions on Image Processing, vol. 27, no. 9, pp. 4585-4597.
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Leon-Castro, E, Aviles-Ochoa, E & Merigo, JM 2018, 'Induced Heavy Moving Averages', INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, vol. 33, no. 9, pp. 1823-1839.
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Leon-Castro, E, Aviles-Ochoa, E, Merigo, JM & Gil-Lafuente, AM 2018, 'Heavy Moving Averages and Their Application in Econometric Forecasting', CYBERNETICS AND SYSTEMS, vol. 49, no. 1, pp. 26-43.
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Li, HS, Fan, P, Xia, HY, Song, S & He, X 2018, 'The quantum Fourier transform based on quantum vision representation', Quantum Information Processing, vol. 17, no. 12.
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Li, H-S, Fan, P, Xia, H-Y, Song, S & He, X 2018, 'The multi-level and multi-dimensional quantum wavelet packet transforms.', Scientific reports, vol. 8, no. 1, pp. 13884-13884.
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Li, J, Nakai, K, Zheng, Y, Sato, K & Wong, L 2018, 'Introduction to Selected Papers from GIW2018', JOURNAL OF BIOINFORMATICS AND COMPUTATIONAL BIOLOGY, vol. 16, no. 6.
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Li, L, Liu, Z & Zhang, J 2018, 'Unsupervised image co-segmentation via guidance of simple images', Neurocomputing, vol. 275, pp. 1650-1661.
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Li, X, Liu, K, Dong, Y & Tao, D 2018, 'Patch Alignment Manifold Matting', IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 7, pp. 3214-3226.
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Li, X, Lu, Q, Dong, Y & Tao, D 2018, 'SCE: A Manifold Regularized Set-Covering Method for Data Partitioning', IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 5, pp. 1760-1773.
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Li, Y, Tian, X, Liu, T & Tao, D 2018, 'On Better Exploring and Exploiting Task Relationships in Multitask Learning: Joint Model and Feature Learning', IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 5, pp. 1975-1985.
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Li, Z, Nie, F, Chang, X, Yang, Y, Zhang, C & Sebe, N 2018, 'Dynamic Affinity Graph Construction for Spectral Clustering Using Multiple Features.', IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 12, pp. 6323-6332.
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Lian, D, Zheng, K, Ge, Y, Cao, L, Chen, E & Xie, X 2018, 'GeoMF++: Scalable location recommendation via joint geographical modeling and matrix factorization', ACM Transactions on Information Systems, vol. 36, no. 3.
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Liao, H, Xu, Z, Herrera, F & Merigo, JM 2018, 'Editorial Message: Special Issue on Hesitant Fuzzy Linguistic Decision Making: Algorithms, Theory and Applications', INTERNATIONAL JOURNAL OF FUZZY SYSTEMS, vol. 20, no. 7, pp. 2083-2083.
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Liu, F, Gong, C, Huang, X, Zhou, T, Yang, J & Tao, D 2018, 'Robust Visual Tracking Revisited: From Correlation Filter to Template Matching', IEEE Transactions on Image Processing, vol. 27, no. 6, pp. 2777-2790.
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Liu, M, Xu, C, Luo, Y, Xua, C, Wen, Y & Tao, D 2018, 'Cost-Sensitive Feature Selection by Optimizing F-measures', IEEE Transactions on Image Processing, vol. 27, no. 3, pp. 1323-1333.
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Liu, P, Liu, J & Merigó, JM 2018, 'Partitioned Heronian means based on linguistic intuitionistic fuzzy numbers for dealing with multi-attribute group decision making', Applied Soft Computing Journal, vol. 62, pp. 395-422.
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Liu, Q, Chen, P, Wang, B, Zhang, J & Li, J 2018, 'dbMPIKT: a database of kinetic and thermodynamic mutant protein interactions', BMC BIOINFORMATICS, vol. 19.
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Liu, Q, Chen, P, Wang, B, Zhang, J & Li, J 2018, 'Hot spot prediction in protein-protein interactions by an ensemble system.', BMC systems biology, vol. 12, no. Suppl 9, pp. 132-132.
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Liu, Q, Ghosh, S, Li, J, Wong, L & Ramamohanarao, K 2018, 'Discovering pan-correlation patterns from time course data sets by efficient mining algorithms', Computing, vol. 100, no. 4, pp. 421-437.
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Liu, Q, Thoms, JAI, Nunez, AC, Huang, Y, Knezevic, K, Packham, D, Poulos, RC, Williams, R, Beck, D, Hawkins, NJ, Ward, RL, Wong, JWH, Hesson, LB, Sloane, MA & Pimanda, JE 2018, 'Disruption of a-35 kb Enhancer Impairs CTCF Binding and MLH1 Expression in Colorectal Cells', CLINICAL CANCER RESEARCH, vol. 24, no. 18, pp. 4602-4611.
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Liu, Q, Wu, R, Chen, E, Xu, G, Su, Y, Chen, Z & Hu, G 2018, 'Fuzzy cognitive diagnosis for modelling examinee performance', ACM Transactions on Intelligent Systems and Technology, vol. 9, no. 4.
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Llopis-Albert, C, Merigó, JM, Liao, H, Xu, Y, Grima-Olmedo, J & Grima-Olmedo, C 2018, 'Water Policies and Conflict Resolution of Public Participation Decision-Making Processes Using Prioritized Ordered Weighted Averaging (OWA) Operators', Water Resources Management, vol. 32, no. 2, pp. 497-510.
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Llopis-Albert, C, Merigó, JM, Xu, Y & Liao, H 2018, 'Application of Fuzzy Set/Qualitative Comparative Analysis to Public Participation Projects in Support of the EU Water Framework Directive.', Water environment research : a research publication of the Water Environment Federation, vol. 90, no. 1, pp. 74-83.
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Luo, Y, Wen, Y & Tao, D 2018, 'Heterogeneous Multitask Metric Learning Across Multiple Domains', IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 9, pp. 4051-4064.
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Ma, K, Fu, H, Liu, T, Wang, Z & Tao, D 2018, 'Deep Blur Mapping: Exploiting High-Level Semantics by Deep Neural Networks', IEEE Transactions on Image Processing, vol. 27, no. 10, pp. 5155-5166.
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Ma, Y, Yu, Z, Han, G, Li, J & Anh, V 2018, 'Identification of pre-microRNAs by characterizing their sequence order evolution information and secondary structure graphs.', BMC bioinformatics, vol. 19, no. Suppl 19, pp. 521-521.
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Maldonado, S, Merigó, J & Miranda, J 2018, 'Redefining support vector machines with the ordered weighted average', Knowledge-Based Systems, vol. 148, pp. 41-46.
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Martínez-López, FJ, Merigó, JM, Valenzuela-Fernández, L & Nicolás, C 2018, 'Fifty years of the European Journal of Marketing: a bibliometric analysis', European Journal of Marketing, vol. 52, no. 1-2, pp. 439-468.
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Mauleon-Mendez, E, Genovart-Balaguer, J, Merigo, JM & Mulet-Forteza, C 2018, 'Sustainable tourism research towards twenty-five years of the journal of sustainable tourism', Advances in Hospitality and Tourism Research, vol. 6, no. 1, pp. 23-46.
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Mei, T, Li, L, Tian, X, Tao, D & Ngo, CW 2018, 'PageSense: Toward Stylewise Contextual Advertising via Visual Analysis of Web Pages', IEEE Transactions on Circuits and Systems for Video Technology, vol. 28, no. 1, pp. 254-266.
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Meng, F, Rui, X, Wang, Z, Xing, Y & Cao, L 2018, 'Coupled node similarity learning for community detection in attributed networks', Entropy, vol. 20, no. 6.
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Merigo, JM, Gaviria-Marin, M & Popa, S 2018, 'Twenty years of the Journal of Knowledge Management: a bibliometric analysis', Journal of Knowledge Management, vol. 22, no. 8, pp. 1655-1687.
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Merigó, JM, Gil-Lafuente, AM, Yu, D & Llopis-Albert, C 2018, 'Fuzzy decision making in complex frameworks with generalized aggregation operators', Applied Soft Computing Journal, vol. 68, pp. 314-321.
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Merigó, JM, Pedrycz, W, Weber, R & de la Sotta, C 2018, 'Fifty years of Information Sciences: A bibliometric overview', Information Sciences, vol. 432, pp. 245-268.
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Merigó, JM, Zhou, L, Yu, D, Alrajeh, N & Alnowibet, K 2018, 'Probabilistic OWA distances applied to asset management', Soft Computing, vol. 22, no. 15, pp. 4855-4878.
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Mirtalaie, MA, Hussain, OK, Chang, E & Hussain, FK 2018, 'Extracting sentiment knowledge from pros/cons product reviews: Discovering features along with the polarity strength of their associated opinions', Expert Systems with Applications, vol. 114, pp. 267-288.
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Mulet-Forteza, C, Martorell-Cunill, O, Merigó, JM, Genovart-Balaguer, J & Mauleon-Mendez, E 2018, 'Twenty five years of the Journal of Travel & Tourism Marketing: a bibliometric ranking', Journal of Travel and Tourism Marketing, vol. 35, no. 9, pp. 1201-1221.
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Nawaz, F, Janjua, NK, Hussain, OK, Hussain, FK, Chang, E & Saberi, M 2018, 'Event-driven approach for predictive and proactive management of SLA violations in the Cloud of Things', Future Generation Computer Systems, vol. 84, pp. 78-97.
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Ojha, S, Williams, MA & Johnston, B 2018, 'The Essence of Ethical Reasoning in Robot-Emotion Processing', International Journal of Social Robotics, vol. 10, no. 2, pp. 211-223.
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Peng, H, Zheng, Y, Blumenstein, M, Tao, D & Li, J 2018, 'CRISPR/Cas9 cleavage efficiency regression through boosting algorithms and Markov sequence profiling', BIOINFORMATICS, vol. 34, no. 18, pp. 3069-3077.
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Peng, H, Zheng, Y, Zhao, Z, Liu, T & Li, J 2018, 'Recognition of CRISPR/Cas9 off-target sites through ensemble learning of uneven mismatch distributions.', Bioinformatics, vol. 34, no. 17, pp. i757-i765.
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Qin, M, Lei, K, Gabrys, B & Musial-Gabrys, K 2018, 'Adaptive community detection incorporating topology and content in social networks', Knowledge-Based Systems, vol. 161, pp. 342-356.
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Saberi, M, Theobald, M, Hussain, OK, Chang, E & Hussain, FK 2018, 'Interactive feature selection for efficient customer recognition in contact centers: Dealing with common names', EXPERT SYSTEMS WITH APPLICATIONS, vol. 113, pp. 356-376.
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Schonbach, C, Li, J, Ma, L, Horton, P, Sjaugi, MF & Ranganathan, S 2018, 'LA bioinformatics potpourri', BMC GENOMICS, vol. 19.
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Shahsavari, M, Golpayegani, AH, Saberi, M & Hussain, FK 2018, 'Recruiting the K-most influential prospective workers for crowdsourcing platforms', Service Oriented Computing and Applications, vol. 12, no. 3-4, pp. 247-257.
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Shen, X, Liu, T, Tao, D, Fan, Y, Zhang, J, Li, S, Jiang, J, Zhu, W, Wang, Y, Wang, Y, Brodaty, H, Sachdev, P & Wen, W 2018, 'Variation in longitudinal trajectories of cortical sulci in normal elderly.', NeuroImage, vol. 166, pp. 1-9.
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Shen, X, Tian, X, Liu, T, Xu, F & Tao, D 2018, 'Continuous Dropout', IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 9, pp. 3926-3937.
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Takalkar, M, Xu, M, Wu, Q & Chaczko, Z 2018, 'A survey: facial micro-expression recognition', Multimedia Tools and Applications, vol. 77, no. 15, pp. 19301-19325.
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Trianni, A, Merigó, JM & Bertoldi, P 2018, 'Ten years of Energy Efficiency: a bibliometric analysis', Energy Efficiency, vol. 11, no. 8, pp. 1917-1939.
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Tur-Porcar, A, Mas-Tur, A, Merigo, JM, Roig-Tierno, N & Watt, J 2018, 'A Bibliometric History of the Journal of Psychology Between 1936 and 2015', JOURNAL OF PSYCHOLOGY, vol. 152, no. 4, pp. 199-225.
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Usman, M, Jan, MA, He, X & Alam, M 2018, 'Performance evaluation of High Definition video streaming over Mobile Ad Hoc Networks', Signal Processing, vol. 148, pp. 303-313.
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Usman, M, Yang, N, Jan, MA, He, X, Xu, M & Lam, KM 2018, 'A Joint Framework for QoS and QoE for Video Transmission over Wireless Multimedia Sensor Networks', IEEE Transactions on Mobile Computing, vol. 17, no. 4.
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Valenzuela-Fernández, L, Merigó, JM & Nicolas, C 2018, 'The most influential countries in market orientation: A bibliometric analysis between 1990 and 2016', International Journal of Engineering Business Management, vol. 10, pp. 1-9.
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Valenzuela-Fernández, L, Nicolas, C & Merigo, JM 2018, 'Overview of the leading countries in marketing research between 1990 and 2014', American Journal of Business, vol. 33, no. 4, pp. 134-156.
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Wan, Y, Chen, L, Xu, G, Zhao, Z, Tang, J & Wu, J 2018, 'SCSMiner: mining social coding sites for software developer recommendation with relevance propagation', World Wide Web, vol. 21, no. 6, pp. 1523-1543.
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Wan, Y, Xu, G, Chen, L, Zhao, Z & Wu, J 2018, 'Exploiting cross-source knowledge for warming up community question answering services', Neurocomputing, vol. 320, pp. 25-34.
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Wang, C, Chi, CH, She, Z, Cao, L & Stantic, B 2018, 'Coupled clustering ensemble by exploring data interdependence', ACM Transactions on Knowledge Discovery from Data, vol. 12, no. 6.
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Wang, C, Xu, C, Wang, C & Tao, D 2018, 'Perceptual Adversarial Networks for Image-to-Image Transformation', IEEE Transactions on Image Processing, vol. 27, no. 8, pp. 4066-4079.
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Wang, D, Deng, S & Xu, G 2018, 'Sequence-based context-aware music recommendation', Information Retrieval Journal, vol. 21, no. 2-3, pp. 230-252.
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Wang, D, Deng, S, Zhang, X & Xu, G 2018, 'Learning to embed music and metadata for context-aware music recommendation', World Wide Web, vol. 21, pp. 1399-1423.
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Wang, L, Bao, X, Chen, H & Cao, L 2018, 'Effective lossless condensed representation and discovery of spatial co-location patterns', Information Sciences, vol. 436-437, pp. 197-213.
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Wang, N, Gao, X, Tao, D, Yang, H & Li, X 2018, 'Facial feature point detection: A comprehensive survey', Neurocomputing, vol. 275, pp. 50-65.
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Wang, R & Tao, D 2018, 'Training Very Deep CNNs for General Non-Blind Deconvolution', IEEE Transactions on Image Processing, vol. 27, no. 6, pp. 2897-2910.
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Wang, R, Liu, T & Tao, D 2018, 'Multiclass Learning With Partially Corrupted Labels', IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 6, pp. 2568-2580.
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Wang, W, Laengle, S, Merigo, JM, Yu, D, Herrera-Viedma, E, Cobo, MJ & Bouchon-Meunier, B 2018, 'A Bibliometric Analysis of the First Twenty-Five Years of the International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems', INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS, vol. 26, no. 2, pp. 169-193.
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Wang, Y, Feng, C, Chen, L, Yin, H, Guo, C & Chu, Y 2018, 'User identity linkage across social networks via linked heterogeneous network embedding', World Wide Web, vol. 2018, pp. 1-22.
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Wang, Y, Wang, Z, Jia, W, He, X & Jiang, M 2018, 'Joint Learning of Body and Part Representation for Person Re-Identification', IEEE Access, vol. 6, pp. 44199-44210.
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Wang, Y, Zhang, J, Liu, Z, Wu, Q, Zhang, Z & Jia, Y 2018, 'Depth Super-Resolution on RGB-D Video Sequences with Large Displacement 3D Motion', IEEE Transactions on Image Processing, vol. 27, no. 7, pp. 3571-3585.
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Wang, Z & Piccardi, M 2018, 'Minimum-risk temporal alignment of videos', Multimedia Tools and Applications, vol. 77, no. 12, pp. 14891-14906.
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Wong, JKW, Ge, J & He, SX 2018, 'Digitisation in facilities management: A literature review and future research directions', Automation in Construction, vol. 92, pp. 312-326.
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Wright, ST, Ryan, LM & Pham, T 2018, 'A novel case-control subsampling approach for rapid model exploration of large clustered binary data.', Statistics in Medicine, vol. 37, no. 6, pp. 899-913.
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Wu, J, Pan, S, Zhou, C, Li, G, He, W & Zhang, C 2018, 'Advances in Processing, Mining, and Learning Complex Data: From Foundations to Real-World Applications', COMPLEXITY.
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Wu, J, Pan, S, Zhu, X, Zhang, C & Wu, X 2018, 'Multi-instance learning with discriminative bag mapping', IEEE Transactions on Knowledge and Data Engineering, vol. 30, no. 6, pp. 1065-1080.
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Wu, J, Pan, S, Zhu, X, Zhang, C & Yu, PS 2018, 'Multiple Structure-View Learning for Graph Classification', IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 7, pp. 3236-3251.
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Wu, W, Li, B, Chen, L, Zhu, X & Zhang, C 2018, 'K-Ary Tree Hashing for Fast Graph Classification', IEEE Transactions on Knowledge and Data Engineering, vol. 30, no. 5, pp. 936-949.
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Wu, Z, Li, G, Liu, Q, Xu, G & Chen, E 2018, 'Covering the Sensitive Subjects to Protect Personal Privacy in Personalized Recommendation', IEEE Transactions on Services Computing, pp. 493-508.
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Wu, Z, Xu, G, Lu, C, Chen, E, Jiang, F & Li, G 2018, 'An effective approach for the protection of privacy text data in the CloudDB', World Wide Web, vol. 21, pp. 915-938.
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Wu, Z, Zheng, C, Xiejian, J, Zhou, Z, Xu, G & Chen, E 2018, 'An approach for the protection of users’ book browsing preference privacy in a digital library', The Electronic Library, vol. 36, no. 6, pp. 1154-1166.
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Xiao, L, Zhang, Y, Zhang, J, Wang, Q & Li, Y 2018, 'Combining HWEBING and HOG-MLBP features for pedestrian detection', The Journal of Engineering, vol. 2018, no. 16, pp. 1421-1426.
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Xie, Y, Tao, D, Zhang, W, Liu, Y, Zhang, L & Qu, Y 2018, 'On Unifying Multi-view Self-Representations for Clustering by Tensor Multi-rank Minimization', International Journal of Computer Vision, vol. 126, no. 11, pp. 1157-1179.
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Xu, G 2018, 'Unsupervised Keyword Extraction from Microblog Posts via Hashtags', Journal of Web Engineering, vol. 17 (1&2), pp. 93-120.
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Xu, Z, Huang, S, Zhang, Y & Tao, D 2018, 'Webly-Supervised Fine-Grained Visual Categorization via Deep Domain Adaptation.', IEEE transactions on pattern analysis and machine intelligence, vol. 40, no. 5, pp. 1100-1113.
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Xuan, J, Lu, J, Zhang, G, Xu, RYD & Luo, X 2018, 'Doubly Nonparametric Sparse Nonnegative Matrix Factorization Based on Dependent Indian Buffet Processes', IEEE Transactions on Neural Networks and Learning Systems, pp. 1835-1849.
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Xue, R, Huang, S, Luo, X, Jiang, D & Da Xu, RY 2018, 'Semantic emotion-topic model based social emotion mining', Journal of Web Engineering, vol. 17, no. 1-2, pp. 73-92.
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Yang, E, Deng, C, Li, C, Liu, W, Li, J & Tao, D 2018, 'Shared Predictive Cross-Modal Deep Quantization', IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 11, pp. 5292-5303.
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Yang, N, Fan, X, Puthal, D, He, X, Nanda, P & Guo, S 2018, 'A Novel Collaborative Task Offloading Scheme for Secure and Sustainable Mobile Cloudlet Networks', IEEE Access, vol. 6.
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Yang, W, Li, J, Zheng, H & Xu, RYD 2018, 'A Nuclear Norm Based Matrix Regression Based Projections Method for Feature Extraction', IEEE Access, vol. 6, pp. 7445-7451.
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Yang, X, Wang, M & Tao, D 2018, 'Person Re-Identification with Metric Learning Using Privileged Information', IEEE Transactions on Image Processing, vol. 27, no. 2, pp. 791-805.
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Yin, Z, Wang, F, Liu, W & Chawla, S 2018, 'Sparse Feature Attacks in Adversarial Learning', IEEE Transactions on Knowledge and Data Engineering, vol. 30, no. 6, pp. 1164-1177.
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Yu, J, Hong, C, Rui, Y & Tao, D 2018, 'Multitask Autoencoder Model for Recovering Human Poses', IEEE Transactions on Industrial Electronics, vol. 65, no. 6, pp. 5060-5068.
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Yu, Z, Yu, J, Xiang, C, Fan, J & Tao, D 2018, 'Beyond Bilinear: Generalized Multimodal Factorized High-Order Pooling for Visual Question Answering.', IEEE transactions on neural networks and learning systems, vol. 29, no. 12, pp. 5947-5959.
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Yusoff, B, Merigó, JM, Ceballos, D & Peláez, JI 2018, 'Weighted-selective aggregated majority-OWA operator and its application in linguistic group decision making', International Journal of Intelligent Systems, vol. 33, no. 9, pp. 1929-1948.
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Zhang, B, Li, J & Lü, Q 2018, 'Prediction of 8-state protein secondary structures by a novel deep learning architecture.', BMC bioinformatics, vol. 19, no. 1.
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Zhang, G, Piccardi, M & Zare Borzeshi, E 2018, 'Sequential Labeling With Structural SVM Under Nondecomposable Losses', IEEE Transactions on Neural Networks and Learning Systems, pp. 4177-4188.
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Zhang, H, Xu, G, Liang, X, Xu, G, Li, F, Fu, K, Wang, L & Huang, T 2018, 'An Attention-Based Word-Level Interaction Model for Knowledge Base Relation Detection', IEEE Access, vol. 6, pp. 75429-75441.
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Zhang, J, McBurney, P & Musial, K 2018, 'Convergence of trading strategies in continuous double auction markets with boundedly-rational networked traders', Review of Quantitative Finance and Accounting, vol. 50, no. 1, pp. 301-352.
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Zhang, J, Wu, Q, Shen, C, Zhang, J & Lu, J 2018, 'Multilabel Image Classification with Regional Latent Semantic Dependencies', IEEE Transactions on Multimedia, vol. 20, no. 10, pp. 2801-2813.
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Zhang, J, Yu, J & Tao, D 2018, 'Local Deep-Feature Alignment for Unsupervised Dimension Reduction', IEEE Transactions on Image Processing, vol. 27, no. 5, pp. 2420-2432.
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Zhang, J, Zareapoor, M, He, X, Shen, D, Feng, D & Yang, J 2018, 'Mutual information based multi-modal remote sensing image registration using adaptive feature weight', Remote Sensing Letters, vol. 9, no. 7, pp. 646-655.
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Zhang, L, Zhang, Q, Du, B, Huang, X, Tang, YY & Tao, D 2018, 'Simultaneous Spectral-Spatial Feature Selection and Extraction for Hyperspectral Images.', IEEE Transactions on Cybernetics, vol. 48, no. 1, pp. 16-28.
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Zhang, Q, Liu, Y, Blum, RS, Han, J & Tao, D 2018, 'Sparse representation based multi-sensor image fusion for multi-focus and multi-modality images: A review', Information Fusion, vol. 40, pp. 57-75.
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Zhang, Q, Wu, J, Zhang, Q, Zhang, P, Long, G & Zhang, C 2018, 'Dual influence embedded social recommendation', World Wide Web, vol. 21, no. 4, pp. 849-874.
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Zhang, Y, Wang, X, Bi, X & Tao, D 2018, 'A Light Dual-Task Neural Network for Haze Removal', IEEE Signal Processing Letters, vol. 25, no. 8, pp. 1231-1235.
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Zhang, Z, Chen, J, Wu, Q & Shao, L 2018, 'GII Representation-based cross-view gait recognition by discriminative projection with list-wise constraints', IEEE Transactions on Cybernetics, vol. 48, no. 10, pp. 2935-2947.
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Zhang, Z, Wu, Q, Wang, Y & Chen, F 2018, 'High-Quality Image Captioning with Fine-Grained and Semantic-Guided Visual Attention', IEEE Transactions on Multimedia.
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Zhao, J, Mao, X & Zhang, J 2018, 'Learning deep facial expression features from image and optical flow sequences using 3D CNN', Visual Computer, vol. 34, no. 10, pp. 1461-1475.
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Zhao, L, Wu, S, Jiang, J, Li, W, Luo, J & Li, J 2018, 'Novel overlapping subgraph clustering for the detection of antigen epitopes', BIOINFORMATICS, vol. 34, no. 12, pp. 2061-2068.
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Zhao, L, Xie, J, Bai, L, Chen, W, Wang, M, Zhang, Z, Wang, Y, Zhao, Z & Li, J 2018, 'Mining statistically-solid k-mers for accurate NGS error correction.', BMC genomics, vol. 19, no. Suppl 10, pp. 912-912.
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Zhao, Y, You, X, Yu, S, Xu, C, Yuan, W, Jing, X-Y, Zhang, T & Tao, D 2018, 'Multi-view manifold learning with locality alignment', PATTERN RECOGNITION, vol. 78, pp. 154-166.
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Zhao, Z, Peng, H, Lan, C, Zheng, Y, Fang, L & Li, J 2018, 'Imbalance learning for the prediction of N-6-Methylation sites in mRNAs', BMC GENOMICS, vol. 19.
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Zheng, Y, Peng, H, Zhang, X, Zhao, Z, Yin, J & Li, J 2018, 'Predicting adverse drug reactions of combined medication from heterogeneous pharmacologic databases.', BMC bioinformatics, vol. 19, no. Suppl 19, pp. 49-59.
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Zhu, C, Cao, L, Liu, Q, Yin, J & Kumar, V 2018, 'Heterogeneous Metric Learning of Categorical Data with Hierarchical Couplings', IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, vol. 30, no. 7, pp. 1254-1267.
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Zhu, F, Gao, J, Xu, C, Yang, J & Tao, D 2018, 'On Selecting Effective Patterns for Fast Support Vector Regression Training', IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 8, pp. 3610-3622.
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Zhu, M, He, B & Wu, Q 2018, 'Single Image Dehazing Based on Dark Channel Prior and Energy Minimization', IEEE Signal Processing Letters, vol. 25, no. 2, pp. 174-178.
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Zuo, Y, Wu, Q, An, P & Shang, X 2018, 'Integrated cosparse analysis model with explicit edge inconsistency measurement for guided depth map upsampling', Journal of Electronic Imaging, vol. 27, no. 4.
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Zuo, Y, Wu, Q, Zhang, J & An, P 2018, 'Explicit Edge Inconsistency Evaluation Model for Color-guided Depth Map Enhancement', IEEE Transactions on Circuits and Systems for Video Technology.
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Zuo, Y, Wu, Q, Zhang, J & An, P 2018, 'Minimum Spanning Forest with Embedded Edge Inconsistency Measurement Model for Guided Depth Map Enhancement', IEEE Transactions on Image Processing, vol. 27, no. 8, pp. 4145-4159.
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Conferences

Abdollahi, M, Gao, X, Mei, Y, Ghosh, S & Li, J 2018, 'Uncovering discriminative knowledge-guided medical concepts for classifying coronary artery disease notes', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Australasian Joint Conference on Artificial Intelligence, SpringerLink, Wellington, New Zealand, pp. 104-110.
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Abdulkareem, SA, Augustijn, EW, Musial, K, Mustafa, YT & Filatova, T 2018, 'The impact of social versus individual learning for agents' risk perception during epidemics', Proceedings - IEEE 14th International Conference on eScience, e-Science 2018, IEEE 14th International Conference on e-Science (e-Science), IEEE, Amsterdam, Netherlands, pp. 297-298.
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Agrawal, S & Williams, MA 2018, 'Would You Obey an Aggressive Robot: A Human-Robot Interaction Field Study', RO-MAN 2018 - 27th IEEE International Symposium on Robot and Human Interactive Communication, IEEE International Symposium on Robot and Human Interactive Communication, IEEE, Nanjing, China, pp. 240-246.
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Almasoud, AS, Eljazzar, MM & Hussain, F 2018, 'Toward a Self-Learned Smart Contracts', Proceedings - 2018 IEEE 15th International Conference on e-Business Engineering, ICEBE 2018, IEEE International Conference on e-Business Engineering, IEEE, Xi'an, China, pp. 269-273.
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Alshehri, MD & Hussain, F 2017, 'A Centralized Trust Management Mechanism for the Internet of Things (CTM-IoT)', Advances on Broad-Band Wireless Computing, Communication and Applications, International Conference on Broad-Band Wireless Computing, Communication and Applications, Springer, Barcelona, Spain, pp. 533-543.
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Amirgholipour, S, He, X, Jia, W, Wang, D & Zeibots, M 2018, 'A-CCNN: Adaptive CCNN for Density Estimation and Crowd Counting', 2018 25th IEEE International Conference on Image Processing (ICIP), International Conference on Image Processing, Athens, Greece, pp. 948-952.
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Anaissi, A, Braytee, A & Naji, M 2018, 'Gaussian Kernel Parameter Optimization in One-Class Support Vector Machines', Proceedings of the International Joint Conference on Neural Networks, International Joint Conference on Neural Networks, IEEE, Rio de Janeiro, Brazil.
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Aravanis, TI, Peppas, P & Williams, MA 2018, 'Iterated belief revision and dalal⇔s operator', ACM International Conference Proceeding Series.
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Basu, S, Chua, YHV, Lee, MW, Lim, WG, Maszczyk, T, Guo, Z & Dauwels, J 2018, 'Towards a data-driven behavioral approach to prediction of insider-threat.', International Conference on Big Data, USA.

Biddle, R, Liu, S, Tilocca, P & Xu, G 2018, 'Automated Underwriting in Life Insurance: Predictions and Optimisation', ADC 2018: Databases Theory and Applications (LNCS), Australasian Database Conference, Springer, Gold Coast, QLD, Australia, pp. 135-146.
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Braytee, A, Anaissi, A & Kennedy, PJ 2018, 'Sparse feature learning using ensemble model for highly-correlated high-dimensional data', Neural Information Processing (LNCS), International Conference on Neural Information Processing, Springer, Siem Reap, Cambodia, pp. 423-434.
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Brownlow, J, Chu, C, Fu, B, Xu, G, Culbert, B & Meng, Q 2018, 'Cost-sensitive churn prediction in fund management services', Database Systems for Advanced Applications (LNCS), International Conference on Database Systems for Advanced Applications, Spirnger, Gold Coast, QLD, Australia, pp. 776-788.
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Brownlow, J, Chu, C, Fu, B, Xu, G, Culbert, B & Meng, Q 2018, 'Cost-sensitive Churn Prediction in Fund Management Services - Industrial Track', the 23rd International Conference on Database Systems for Advanced Applications, Australia.
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Brownlow, J, Chu, C, Xu, G, Culbert, B, Fu, B & Meng, Q 2018, 'A Multiple Source based Transfer Learning Framework for Marketing Campaigns', 2018 International Joint Conference on Neural Networks (IJCNN), International Joint Conference on Neural Networks, Rio De Janeiro, Brasil.
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Cai, H, Jiang, H, Huang, X, Yang, J & He, X 2018, 'Violence detection based on spatio-temporal feature and fisher vector', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Chinese Conference on Pattern Recognition and Computer Vision, Springer, Guangzhou, China, pp. 180-190.
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Cao, L, Chen, X, Liu, F, Tu, E & Yang, J 2018, 'Deep-PUMR: Deep Positive and Unlabeled Learning with Manifold Regularization', Lecture Notes in Computer Science, International Conference on Neural Information Processing, Springer Verlag, Siem Reap, Cambodia, pp. 12-20.
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Chakraborty, D, Tahir, Y, Yang, Z, Maszczyk, T, Dauwels, J, Thalmann, N, Zheng, J, Tan, BL & Lee, J 2018, 'Prediction of Negative Symptoms of Schizophrenia from Emotion Related Low-level Speech Signals.', 2018 IEEE International Conference on Acoustics, Speech and Signal Processing, Canada.

Chivukula, AS, Li, J & Liu, W 2018, 'Discovering granger-causal features from deep learning networks', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), The 31st Australasian Joint Conference on Artificial Intelligence, Wellington, New Zealand, pp. 692-705.
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Cobo, MJ, Wang, W, Laengle, S, Merigó, JM, Yu, D & Herrera-Viedma, E 2018, 'Co-words analysis of the last ten years of the international journal of uncertainty, fuzziness and knowledge-based systems', Communications in Computer and Information Science, Cádiz, Spain, pp. 667-677.
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Culbert, B, Fu, B, Brownlow, J, Chu, C, Meng, Q & Xu, G 2018, 'Customer Churn Prediction in Superannuation: A Sequential Pattern Mining Approach', Databases Theory and Applications (LNCS), Australasian Database Conference, Springer, Gold Coast, QLD, Australia, pp. 123-134.
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Cunill, OM, Gil-Lafuente, AM, Merigó, JM & González, LO 2015, 'Academic contributions in asian tourism research: A bibliometric analysis', Applied Mathematics and Computational Intelligence (Advances in Intelligent Systems and Computing 730), International Conference of the ‘Forum for Interdisciplinary Mathematics', Springer, Spain, pp. 326-342.
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Cunill, OM, Gil-Lafuente, AM, Merigó, JM & González, LO 2015, 'Asian academic research in tourism with an international impact: A bibliometric analysis of the main academic contributions', Applied Mathematics and Computational Intelligence (Advances in Intelligent Systems and Computing 730), International Conference of the ‘Forum for Interdisciplinary Mathematics', Spain, pp. 307-325.
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Do, TDT & Cao, L 2018, 'Coupled Poisson factorization integrated with user/item metadata for modeling popular and sparse ratings in scalable recommendation', 32nd AAAI Conference on Artificial Intelligence, AAAI 2018, AAAI Conference on Artificial Intelligence, AAI, New Orleans, USA, pp. 2918-2925.
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Do, TDT & Cao, L 2018, 'Gamma-Poisson Dynamic Matrix Factorization Embedded with Metadata Influence', Advances in Neural Information Processing Systems, Advances in Neural Information Processing Systems, Neural Information Processing Systems Foundation, Montreal, Canada, pp. 1-12.
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Do, TDT & Cao, L 2018, 'Metadata-dependent infinite poisson factorization for efficiently modelling sparse and large matrices in recommendation', IJCAI International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence, IJCAI, Stockholm, Sweden, pp. 5010-5016.
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Du, Y, Fang, M, Yi, J, Cheng, J & Tao, D 2018, 'Towards Query Efficient Black-box Attacks: An Input-free Perspective', Proceedings of the 11th ACM Workshop on Artificial Intelligence and Security - AISec '18, ACM Workshop on Artificial Intelligence and Security, ACM Press, Toronto, Canada.
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Du, Y, Liu, T, Li, Y, Duan, R & Tao, D 2018, 'Quantum divide-and-conquer anchoring for separable non-negative matrix factorization', IJCAI International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence, IJCAI-ECAI, Stockholm, Sweden, pp. 2093-2099.
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Fan, X, He, X, Puthal, D, Chen, S, Xiang, C, Nanda, P & Rao, X 2018, 'CTOM: Collaborative Task Offloading Mechanism for Mobile Cloudlet Networks', International Conference on Communications, IEEE, Kansas City, MO, USA.
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Gamal, M, Abolhasan, M, Lipman, J, Liu, RP & Ni, W 2018, 'Multi Objective Resource Optimisation for Network Function Virtualisation Requests', 2018 26TH INTERNATIONAL CONFERENCE ON SYSTEMS ENGINEERING (ICSENG 2018), 26th International Conference on Systems Engineering (ICSEng), IEEE, Univ Technol Sydney, Sydney, AUSTRALIA.
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Gheisari, S, Catchpoole, DR, Charlton, A & Kennedy, PJ 2018, 'Patched completed local binary pattern is an effective method for neuroblastoma histological image classification', Communications in Computer and Information Science, Australasian Conference on Data Mining, Bathurst, NSW, Australia, pp. 57-71.
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Gong, Y, Li, Z, Zhang, J, Liu, W, Zheng, Y & Kirsch, C 2018, 'Network-wide Crowd Flow Prediction of Sydney Trains via customized Online Non-negative Matrix Factorization', ACM International Conference on Information and Knowledge Managemen, ACM DL, Turin, Italy.
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Gui, M, Zhang, Z, Yang, Z, Gu, Y & Xu, G 2018, 'An Effective Joint Framework for Document Summarization', Companion of the The Web Conference 2018 on The Web Conference 2018.
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Guo, D, Zhao, W, Cui, Y, Wang, Z, Chen, S & Zhang, J 2018, 'Siamese network based features fusion for adaptive visual tracking', PRICAI 2018: Trends in Artificial Intelligence 15th Pacific Rim International Conference on Artificial Intelligence Nanjing, China, August 28–31, 2018 Proceedings (LNAI 11012), International Conference on Artificial Intelligence, Springer, China, pp. 759-771.
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Hayati, H, Walker, P, Brown, T, Kennedy, P & Eager, D 2018, 'A simple spring-loaded inverted pendulum (SLIP) model of a bio-inspired quadrupedal robot over compliant terrains', Proceedings of the ASME 2018 International Mechanical Engineering Congress and Exposition IMECE2018, International Mechanical Engineering Congress and Exposition, ASME, USA.
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Herse, S, Vitale, J, Ebrahimian, D, Tonkin, M, Ojha, S, Sidra, S, Johnston, B, Phillips, S, Gudi, SLKC, Clark, J, Judge, W & Williams, MA 2018, 'Bon Appetit! Robot Persuasion for Food Recommendation', ACM/IEEE International Conference on Human-Robot Interaction, ACM/IEEE International Conference on Human-Robot Interaction, ACM, Chicago, USA, pp. 125-126.
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Herse, S, Vitale, J, Tonkin, M, Ebrahimian, D, Ojha, S, Johnston, B, Judge, W & Williams, MA 2018, 'Do You Trust Me, Blindly? Factors Influencing Trust Towards a Robot Recommender System', RO-MAN 2018 The 27th IEEE International Symposium on Robot and Human Interactive Communication, IEEE International Symposium on Robot and Human Interactive Communication., IEEE, China, pp. 7-14.
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Hu, L, Jian, S, Cao, L & Chen, Q 2018, 'Interpretable recommendation via attraction modeling: Learning multilevel attractiveness over multimodal movie contents', IJCAI International Joint Conference on Artificial Intelligence, International Joint Conferences on Artificial Intelligence, IJCAI, Stockholm, Sweden, pp. 3400-3406.
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Hussain, F, Mirtalaie, MA, Hussain, OK & Chang, E 2017, 'Sentiment Analysis of Specific Product's Features Using Product Tree for Application in New Product Development', Advances in Intelligent Networking and Collaborative Systems The 9th International Conference on Intelligent Networking and Collaborative Systems, International Conference on Intelligent Networking and Collaborative Systems, Springer, Toronto, CANADA, pp. 82-95.
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James, A, Chua, YHV, Maszczyk, T, Bull, R, Lee, K, Moreno Nunez, A & Dauwels, J 2018, 'Automatic Classification of Classroom Climate using audio analysis.', International workshop on Spoken Dialogue Systems Technology Proceedings, Singapore.

James, A, Kashyap, M, Chua, YHV, Maszczyk, T, Nunez, AM, Bull, R & Dauwels, J 2018, 'Inferring the Climate in Classrooms from Audio and Video Recordings: A Machine Learning Approach.', International Conference on Teaching, Assessment, and Learning for Engineering, Australia.

Jauregi Unanue, I, Garmendia Arratibel, L, Zare Borzeshi, E & Piccardi, M 2018, 'English-Basque Statistical and Neural Machine Translation', Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC-2018), Language Resources and Evaluation Conference, European Language Resource Association, Miyazaki, Japan, pp. 880-885.
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Jauregi Unanue, I, Zare Borzeshi, E & Piccardi, M 2018, 'A Shared Attention Mechanism for Interpretation of Neural Automatic Post-Editing Systems', Workshop on Neural Machine Translation and Generation, Melbourne, Australia, pp. 11-17.
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Jian, S, Hu, L, Cao, L & Lu, K 2018, 'Metric-based auto-instructor for learning mixed data representation', 32nd AAAI Conference on Artificial Intelligence, AAAI 2018, AAAI Conference on Artificial Intelligence, AAAI, New Orleans, USA, pp. 3318-3325.
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Jiang, X, Pan, S, Long, G, Chang, J, Jiang, J & Zhang, C 2018, 'Cost-sensitive hybrid neural networks for heterogeneous and imbalanced data', 2018 International Joint Conference on Neural Networks (IJCNN), International Joint Conference on Neural Networks, IEEE, Rio de Janeiro, Brazil, pp. 1-8.
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Jin, D, Liu, Z, He, D, Gabrys, B & Musial, K 2018, 'Robust detection of communities with multi-semantics in large attributed networks', Knowledge Science, Engineering and Management 11th International Conference, KSEM 2018 Changchun, China, August 17–19, 2018 Proceedings (LNAI 11061), International Conference on Knowledge Science, Engineering and Management, Springer, Changchun, China, pp. 362-376.
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Jing, D, Huang, Y, Liu, X, Sia, K, Poulos, RC, Span, M, Zhang, C, Mi, J, Wong, JWH, Beck, D, Pimanda, JE & Lock, RB 2018, 'Lymphocyte-specific chromatin accessibility predetermines glucocorticoid resistance in acute lymphoblastic leukemia', CANCER RESEARCH, Annual Meeting of the American-Association-for-Cancer-Research (AACR), AMER ASSOC CANCER RESEARCH, Chicago, IL.
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Krishna Chand Gudi, SL, Ojha, S, Johnston, B, Clark, J & Williams, MA 2018, 'Fog robotics for efficient, fluent and robust human-robot interaction', NCA 2018 - 2018 IEEE 17th International Symposium on Network Computing and Applications, International Symposium on Network Computing and Applications, IEEE, Cambridge, MA, USA.
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Lan, C, Peng, H, McGowan, EM, Hutvagner, G & Li, J 2018, 'An isomIR expression panel based novel breast cancer classification approach using improved mutual information', International Conference on Genome Informatics, Kunming, Yunnan, China.
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Li, J 2018, 'Version Space Completeness for Novel Hypothesis Induction in Biomedical Applications', Proceedings of the International Joint Conference on Neural Networks, International Joint Conference on Neural Networks, IEEE, Rio de Janeiro, Brazil.
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Li, J, Fong, S, Hu, S, Wong, RK & Mohammed, S 2017, 'Similarity majority under-sampling technique for easing imbalanced classification problem', Communications in Computer and Information Science, Australasian Conference on Data Mining, Springer, Melbourne, VIC, Australia, pp. 3-23.
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LI, Y, Huang, Y, Seneviratne, S, Thilakarathna, K, Cheng, A, Jourjon, G, Webb, D & Xu, R 2018, 'Deep Content: Unveiling Video Streaming Content From Encrypted WiFi Traffic', International Symposium on Network Computing and Applications, IEEE, Cambridge, MA, USA.
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Li, Z, Zhang, J, Wu, Q & Kirsch, C 2018, 'Field-regularised factorization machines for mining the maintenance logs of equipment', AI 2018: AI 2018: Advances in Artificial Intelligence 31st Australasian Joint Conference Wellington, New Zealand, December 11–14, 2018 Proceedings (LNAI 11320), Australasian Joint Conference on Artificial Intelligence, Springer, New Zealand, pp. 172-183.
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Lian, D, Zheng, K, Cao, L, Zheng, VW, Tsang, IW, Ge, Y & Xie, X 2018, 'High-order proximity preserving information network hashing', Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, International Conference on Knowledge Discovery & Data Mining, ACM, London, United Kingdom, pp. 1744-1753.
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Liu, C, Chen, L, Tsang, I & Yin, H 2018, 'Towards the Learning of Weighted Multi-label Associative Classifiers', Proceedings of the International Joint Conference on Neural Networks, International Joint Conference on Neural Networks, IEEE, Rio de Janeiro, Brazil, pp. 1-7.
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Liu, W & Chivukula, A 2018, 'Discovering Granger-causal Features from Deep Learning Networks', The 31st Australasian Joint Conference on Artificial Intelligence, Springer, Wellington, New Zealand, pp. 692-692.
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Liu, W, Chang, X, Chen, L & Yang, Y 2018, 'Semi-supervised Bayesian attribute learning for person re-identification', Thirty-Second AAAI Conference on Artificial Intelligence, AAAI, New Orleans, Louisiana, USA.
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Liu, W, Chang, X, Chen, L & Yang, Y 2018, 'Semi-supervised Joint Learning of Representation and Relation for Person Re-identification', AAAI Conference on Artificial Intelligence, Louisiana, USA.

Luo, X, Su, Z, Guo, J, Zhang, G & He, X 2018, 'Trusted guidance pyramid network for human parsing', MM 2018 - Proceedings of the 2018 ACM Multimedia Conference, ACM international conference on Multimedia, ACM, Seoul, pp. 654-662.
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Mahdavi, F, Hossain, MI, Hayati, H, Eager, D & Kennedy, P 2018, 'Track Shape, Resulting Dynamics and Injury Rates of Greyhounds', Volume 13: Design, Reliability, Safety, and Risk, International Mechanical Engineering Congress and Exposition, ASME, Pittsburgh, Pennsylvania, USA.
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Malik, N, Nanda, P, Arora, A, He, X & Puthal, D 2018, 'Blockchain Based Secured Identity Authentication and Expeditious Revocation Framework for vehicular Networks', IEEE Computer Society, IEEE International Conference On Trust, Security And Privacy In Computing And Communications, IEEE, New York.
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Merigó, JM, Herrera-Viedma, E, Cobo, MJ, Laengle, S & Rivas, D 2017, 'A bibliometric analysis of the first twenty years of soft computing', Proceedings of the Conference of the European Society for Fuzzy Logic and Technology, International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets, Springer International Publishing, Warsaw, Poland, pp. 517-528.
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Musial-Gabrys, K, Wahid-Ul-Ashraf, A & Budka, M 2017, 'Newton’s Gravitational Law for Link Prediction in Social Networks', Complex Networks & Their Applications VI Proceedings of Complex Networks 2017 (The Sixth International Conference on Complex Networks and Their Applications) (SCI 689), International Conference on Complex Networks and their Applications, Springer Verlag, Lyon, France, pp. 93-104.
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Nanda, A, Nanda, P, He, X, Puthal, D & Jamdagni, A 2018, 'A Novel Hybrid Authentication Model for Geo Location Oriented Routing in Dynamic Wireless Mesh Networks', Proceedings of the 51st Hawaii International Conference on System Sciences 2018, International Conference on System Sciences, Hawaii, USA, pp. 5532-5541.
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Ojha, S, Vitale, J, Raza, SA, Billingsley, R & Williams, MA 2018, 'Implementing the Dynamic Role of Mood and Personality in Emotion Processing of Cognitive Agents', Sixth Annual Conference on Advances in Cognitive Systems, Annual Conference on Advances in Cognitive Systems, Stanford, California.
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Pan, S, Hu, R, Long, G, Jiang, J, Yao, L & Zhang, C 2018, 'Adversarially Regularized Graph Autoencoder for Graph Embedding.', IJCAI 2018, International Joint Conference on Artificial Intelligence, International Joint Conferences on Artificial Intelligence, Stockholm. Sweden, pp. 2609-2615.
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Pang, G, Cao, L, Chen, L, Lian, D & Liu, H 2018, 'Sparse Modeling-based Sequential Ensemble Learning for Effective Outlier Detection in High-dimensional Numeric Data.', The Thirty-Second AAAI Conference on Artificial Intelligence, AAAI Conference on Artificial Intelligence, AAAI, New Orleans, USA, pp. 3892-3899.
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Pang, G, Chen, L, Cao, L & Liu, H 2018, 'Learning representations of ultrahigh-dimensional data for random distance-based outlier detection', Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, ACM, London, United Kingdom, pp. 2041-2050.
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Peppas, P & Williams, M 2018, 'Parametrised Difference Revision', International Conference on Principles of Knowledge Representation and Reasoning, Tempe, USA.
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Poostchi, H & Piccardi, M 2018, 'Cluster Labeling by Word Embeddings and WordNet’s Hypernymy', https://www.aclweb.org/anthology/U18-1, Annual Workshop of The Australasian Language Technology Association, Dunedin, New Zealand.
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Poostchi, H, Zare Borzeshi, E & Piccardi, M 2018, 'BiLSTM-CRF for Persian Named-Entity RecognitionArmanPersoNERCorpus: the First Entity-Annotated Persian Dataset', Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018), Language Resources and Evaluation Conference, European Language Resources Association (ELRA, Miyazaki, Japan, pp. 4427-4431.
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Rahman, JS, Li, J, Xie, J, Fogelman, S & Blumenstein, M 2018, 'Connectivity Based Method for Clustering Microbial Communities from Metagenomics Data of Water and Soil Samples', Proceedings of the International Joint Conference on Neural Networks, International Joint Conference on Neural Networks, IEEE, Rio de Janeiro, Brazil, pp. 1-8.
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Razzak, I, Saris, RA & Xu, G 2018, 'Robust 2D Joint Sparse Principle Component Analysis with F-norm Minimization for Sparse Modelling: 2D-RJSPCA', International Joint Conference on Neural Networks, IEEE, Rio de Janeiro, Brazil.
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Roberts, AGK, Catchpoole, DR & Kennedy, PJ 2018, 'Variance-based Feature Selection for Classification of Cancer Subtypes Using Gene Expression Data', Proceedings of the International Joint Conference on Neural Networks, International Joint Conference on Neural Networks, IEEE, Rio de Janeiro, Brazil.
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Saeed, Z, Razzak, I, Abbasi, R & Xu, G 2018, 'Text Stream to Temporal Network - A Dynamic Heartbeat Graph to Detect Emerging Events on Twitter', PAKDD 2018: Advances in Knowledge Discovery and Data Mining, Pacific-Asia Conference on Knowledge Discovery and Data, Springer, Australia, pp. 534-545.
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Seifollahi, S, Piccardi, M & Zare Borzeshi, E 2017, 'A semi-supervised hidden Markov topic model based on prior knowledge', Data Mining, Australasian Data Mining Conference, Springer, Melbourne, VIC, Australia,, pp. 265-276.
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Shen, T, Zhou, T, Long, G, Jiang, J & Zhang, C 2018, 'Bi-directional block self-attention for fast and memory-efficient sequence modeling', ICLR 2018.
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Shen, T, Zhou, T, Long, G, Jiang, J & Zhang, C 2018, 'Bi-directional block self-attention for fast and memory-efficient sequence modeling', International Conference on Representation Learning, Vancouver CANADA.
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Shen, T, Zhou, T, Long, G, Jiang, J, Pan, S & Zhang, C 2018, 'DiSAN: Directional Self-Attention Network for RNN/CNN-free Language Understanding', Proceedings of the 32nd AAAI Conference on Artificial Intelligence, AAAI Conference on Artificial Intelligence, AAAI, New Orleans, USA, pp. 5446-5455.
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Shen, T, Zhou, T, Long, G, Jiang, J, Wang, S & Zhang, C 2018, 'Reinforced Self-Attention Network: a Hybrid of Hard and Soft Attention for Sequence Modeling', IJCAI 2018, International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence, Stockholm, Sweden, pp. 4345-4352.
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Tonkin, M, Vitale, J, Herse, S, Williams, MA, Judge, W & Wang, X 2018, 'Design Methodology for the UX of HRI: A Field Study of a Commercial Social Robot at an Airport', ACM/IEEE International Conference on Human-Robot Interaction, ACM/IEEE International Conference on Human-Robot Interaction, ACM, Chicago, USA, pp. 407-415.
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Umair, A, Nanda, P, He, X & Choo, K-KR 2018, 'User Relationship Classification of Facebook Messenger Mobile Data using WEKA', Springer, Lecture Notes in Computer Science, 12th International Conference on Network and System Security, Hong Kong.
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Verma, S, Liu, W, Wang, C & Zhu, L 2018, 'Hybrid networks: Improving deep learning networks via integrating two views of images', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), International Conference on Neural Information Processing, Springer Link, Siem Reap, Cambodia, pp. 46-58.
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Vitale, J, Tonkin, M, Herse, S, Ojha, S, Clark, J, Williams, M, Wang, X & Judge, W 2018, 'Be More Transparent and Users Will Like You: A Robot Privacy and User Experience Design Experiment', Proceedings of 2018 ACM/IEEE International Conference on Human- Robot Interaction, International Conference on Human-Robot Interaction, ACM, Chicago, IL, USA, pp. 379-387.
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Vo, NNY, Liu, S, He, X & Xu, G 2018, 'Multimodal Mixture Density Boosting Network for Personality Mining', Advances in Knowledge Discovery and Data Mining (LNCS), Pacific-Asia Conference on Knowledge Discovery and Data Mining, Springer, Melbourne, Australia, pp. 644-655.
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Vo, NNY, Xu, G, Liu, S, Brownlow, EJ, Culbert, B & Chu, C 2018, 'Client Churn Prediction with Call Log Analysis', Database Systems for Advanced Applications, International Conference on Database Systems for Advanced Applications, Springer, Gold Coast, Australia, pp. 752-763.
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Wahid-Ul-Ashraf, A, Budka, M & Musial, K 2018, 'Netsim - The framework for complex network generator', Procedia Computer Science, Knowledge-Based and Intelligent Information & Engineering Systems, Elsevier, Belgrade, Serbia, pp. 547-556.
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Wan, Y, Zhao, Z, Yang, M, Xu, G, Ying, H, Wu, J & Yu, PS 2018, 'Improving Automatic Source Code Summarization via Deep Reinforcement Learning', Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering, IEEE/ACM International Conference on Automated Software Engineering, ACM, Corum, Montpellier, France, pp. 397-407.
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Wang, J, Chen, L, Qin, L & Wu, X 2018, 'ASTM: An Attentional Segmentation Based Topic Model for Short Texts', Proceedings - IEEE International Conference on Data Mining, ICDM, IEEE International Conference on Data Mining, IEEE, Singapore, Singapore, pp. 577-586.
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Wang, L, Bao, X & Cao, L 2018, 'Interactive probabilistic post-mining of user-preferred spatial co-location patterns', Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018, Paris, France, pp. 1260-1263.
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Wang, S, Hu, L, Cao, L, Huang, X, Lian, D & Liu, W 2018, 'Attention-based transactional context embedding for next-item recommendation', Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence, AAAI Conference on Artificial Intelligence, AAAI, New Orleans, United States, pp. 2532-2539.
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Wu, W, Li, B, Chen, L & Zhang, C 2018, 'Efficient attributed network embedding via recursive randomized hashing', IJCAI International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence, Stockholm, Sweden, pp. 2861-2867.
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Xi, Y, Zheng, J, He, X, Jia, W & Li, H 2018, 'Beyond Context: Exploring Semantic Similarity for Tiny Face Detection', 2018 25th IEEE International Conference on Image Processing (ICIP), Athens, Greece, pp. 1907-1911.
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Xu, G, Wu, H & Shi, H 2018, 'Workshop Proposal on Knowledge Discovery from Digital Libraries', Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, Joint Conference on Digital Libraries, ACM, Texas, USA, pp. 429-430.
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Xu, J & Cao, L 2018, 'Vine copula-based asymmetry and tail dependence modeling', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Pacific-Asia Conference on Knowledge Discovery and Data Mining, Melbourne, VIC, Australia, pp. 285-297.
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Xu, J, Wei, W & Cao, L 2017, 'Copula-based high dimensional cross-market dependence modeling', Proceedings - 2017 International Conference on Data Science and Advanced Analytics, DSAA 2017, IEEE International Conference on Data Science and Advanced Analytics, IEEE, Tokyo, Japan, pp. 734-743.
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Xu, S, Chakraborty, D, Tahir, Y, Yang, Z, Maszczyk, T, Chua, VYH, Dauwels, J, Thalmann, D, Thalmann, NM, Tan, BL & Lee, J 2018, 'Automated Lexical Speech Analysis of Negative Symptoms of Schizophrenia.', International workshop on Spoken Dialogue Systems Technology Proceedings, Singapore.

Xu, S, Yang, Z, Chakraborty, D, Tahir, Y, Maszczyk, T, Chua, VYH, Dauwels, J, Thalmann, D, Thalmann, NM, Tan, BL, Lee, J & Keong, C 2018, 'Automatic Verbal Analysis of Interviews with Schizophrenic Patients.', 23rd International Conference on Digital Signal Processing, Shanghai.

Yang, H, Pan, S, Zhang, P, Chen, L, Lian, D & Zhang, C 2018, 'Binarized attributed network embedding', Proceedings - IEEE International Conference on Data Mining, ICDM, IEEE International Conference on Data Mining, IEEE, Singapore, Singapore, pp. 1476-1481.
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Yao, Y, Zhang, J, Fumin, S, Wankou, Y, Pu, H & Zhenmin, T 2018, 'Discovering and Distinguishing Multiple Visual Senses for Polysemous Words', https://aaai.org/Library/AAAI/aaai18contents.php, AAAI Conference on Artificial Intelligence, The AAAI Press, New Orleans, USA, pp. 523-530.
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Yao, Y, Zhang, J, Shen, F, Yang, W, Hua, XS & Tang, Z 2018, 'Extracting privileged information from untagged corpora for classifier learning', IJCAI International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence, Stockholm, Sweden, pp. 1085-1091.
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Yin, J, Zhou, Z, Liu, S, Wu, Z & Xu, G 2018, 'Social Spammer Detection: A Multi-Relational Embedding Approach', Pacific-Asia Conference on Knowledge Discovery and Data, Springer Link, Melbourne, VIC, Australia.
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Ying, H, Zhuang, F, Zhang, F, Liu, Y, Xu, G, Xie, X, Xiong, H & Wu, J 2018, 'Sequential Recommender System based on Hierarchical Attention Networks', Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence, AAAI, Stockholm, Sweden, pp. 3926-3932.
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Yusoff, B, Merigó, JM & Hornero, DC 2015, 'Analysis on extensions of multi-expert decision making model with respect to OWA-based aggregation processes', Applied Mathematics and Computational Intelligence, International Forum for Interdisciplinary Mathematics, Springer, Palau Macaya, Barcelona, Spain, pp. 179-196.
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Yusoff, B, Merigó, JM & Hornero, DC 2015, 'Generalized OWA-TOPSIS model based on the concept of majority opinion for group decision making', Applied Mathematics and Computational Intelligence (Advances in Intelligent Systems and Computing 730), International Conference of the ‘Forum for Interdisciplinary Mathematics, Springer, Spain, pp. 124-139.
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Zhang, D, Yin, J, Zhu, X & Zhang, C 2018, 'MetaGraph2Vec: Complex Semantic Path Augmented Heterogeneous Network Embedding', Advances in Knowledge Discovery and Data Mining, Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, Springer, Melbourne, VIC, Australia, pp. 196-208.
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Zhang, D, Yin, J, Zhu, X & Zhang, C 2018, 'SINE: Scalable Incomplete Network Embedding', Proceedings - IEEE International Conference on Data Mining, ICDM, IEEE International Conference on Data Mining, IEEE, Singapore, Singapore, pp. 737-746.
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Zhang, J, Wu, Q, Shen, C, Zhang, J, Lu, J & van den Hengel, A 2018, 'Goal-Oriented Visual Question Generation via Intermediate Rewards', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), European Conference on Computer Vision, Springer Link, Munich, Germany, pp. 189-204.
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Zhang, J, Wu, Q, Zhang, J, Shen, C & Lu, J 2018, 'Kill Two Birds with One Stone: Weakly-Supervised Neural Network for Image Annotation and Tag Refinement', The Thirty-Second AAAI Conference on Artificial Intelligence, The Thirty-Second AAAI Conference on Artificial Intelligence, AAAI Press, USA, pp. 7550-7557.
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Zhang, J, Zhang, J, Wu, Q, Wu, Q, Xu, J, Lu, J, Phua, R, Curr, K & Tang, Z 2017, 'Historical image annotation by exploring the tag relevance', Proceedings - 4th Asian Conference on Pattern Recognition, ACPR 2017, IAPR Asian Conference on Pattern Recognition, IEEE, Nanjing, China, pp. 646-651.
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Zhang, L, Cao, L, Luo, S, Gu, L, Chen, Y & Lian, Y 2018, 'Coupled collective matrix factorization', Proceedings - 2018 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovations, SmartWorld/UIC/ATC/ScalCom/CBDCom/IoP/SCI 2018, IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation, Guangzhou, China, pp. 1023-1030.
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Zhang, P, Wu, Q, Xu, J & Jian, Z 2018, 'Long-Term Person Re-identification Using True Motion from Videos', Winter Conference on Applications of Computer Vision, IEEE, Lake Tahoe, NV, USA, pp. 494-502.
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Zhang, Q, Cao, L, Zhu, C, Li, Z & Sun, J 2018, 'CoupledCF: Learning explicit and implicit user-item couplings in recommendation for deep collaborative filtering', IJCAI International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence, AAAI Press, Stockholm, Sweden, pp. 3662-3668.
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Zhang, X, Liu, Y, Zheng, Y, Zhao, Z, Li, J & Liu, Y 2018, 'Distinction between Ships and Icebergs in SAR Images Using Ensemble Loss Trained Convolutional Neural Networks', AI 2018: AI 2018: Advances in Artificial Intelligence (LNAI), Australasian Joint Conference on Artificial Intelligence, Springer, Wellington, New Zealand, pp. 216-223.
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Zhang, Z, Wu, Q, Wang, Y & Chen, F 2018, 'Fine-grained and semantic-guided visual attention for image captioning', Proceedings - 2018 IEEE Winter Conference on Applications of Computer Vision, WACV 2018, Winter Conference on Applications of Computer Vision, IEEE, Lake Tahoe, NV, USA, pp. 1709-1717.
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Zheng, Y, Peng, H, Zhang, X, Gao, X & Li, J 2018, 'Predicting Drug Targets from Heterogeneous Spaces using Anchor Graph Hashing and Ensemble Learning', Proceedings of the International Joint Conference on Neural Networks, International Joint Conference on Neural Networks, IEEE, Rio de Janeiro, Brazil.
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Zhou, Z, Liu, S, Xu, G, Xie, X, Yin, J, Li, Y & Zhang, W 2018, 'Knowledge-based Recommendation with Hierarchical Collaborative Embedding', PAKDD 2018: Advances in Knowledge Discovery and Data Mining, Pacific-Asia Conference on Knowledge Discovery and Data Mining, Springer, Melbourne, Australia, pp. 222-234.
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Aliyev, N & He, X 2018, 'Knightian Value of Information'.

Aliyev, N & He, X 2018, 'The Pricing of Composition Uncertainty'.

Aliyev, N, He, X & Putniņš, TJ 2018, 'Learning about Toxicity: Why Order Imbalance Can Destabilize Markets'.

He, X-Z, Li, K & Wang, C 2018, 'Time-Varying Economic Dominance Through Bistable Dynamics'.
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He, X-Z, Shi, L & Tolotti, M 2018, 'Are We Better-off for Working Hard?'.
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