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Publications

Books

Li, G, Demazeau, Y, Xu, G, Wang, P, Wang, LSL & Liu, G 2016, Proceedings of 2016 International Conference on Behavioral, Economic and Socio-cultural Computing.
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Natalie Chilton Stoianoff Fred Monotti, A, Chilton, F & Monotti, A 2016, Commercialisation of Intellectual Property.
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Stoianoff, NP, Kreiser, L, Butcher, B, Milne, JE & Ashiabor, H 2016, Preface.
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Chapters

Li, J & Fong, S 2016, 'Solving imbalanced dataset problems for high-dimensional image processing by swarm optimization' in Bio-Inspired Computation and Applications in Image Processing, pp. 311-321.
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Stoianoff, NP 2016, 'Ensuring a sustainable future through recognizing and protecting Indigenous ecological knowledge' in Mauerhofer, V (ed), Legal Aspects of Sustainable Development Horizontal and Sectorial Policy Issues, Springer, Switzerland, pp. 109-123.
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Stoianoff, NP & Guglyuvatyy, E 2016, 'Carbon policy in Australia – a political history' in Stoianoff, NP, Kreiser, L, Butcher, B, Milne, JE & Ashiabor, H (eds), Green Fiscal Reform for a Sustainable Future Reform, Innovation and Renewable Energy, Edward Elgar Publishing, Cheltenham UK, pp. 31-52.
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Stoianoff, NP & Kumari, TV 2016, 'Intellectual Property' in Star, S (ed), Australia and India - A Comparative Overview of the Law and Legal Practice, Universal Law Publishing Co. Ltd., India, pp. 235-264.
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Journal articles

Ahadi, A, Brennan, S, Kennedy, P, Hutvagner, G & Tran, N 2016, 'Long non-coding RNAs harboring miRNA seed regions are enriched in prostate cancer exosomes', Scientific Reports, vol. 6, pp. 1-14.
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Ambusaidi, M, He, X, Nanda, P & Tan, Z 2016, 'Building an intrusion detection system using a filter-based feature selection algorithm', IEEE Transactions on Computers, vol. 65, no. 10, pp. 2986-2998.
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Anaissi, A, Goyal, M, Catchpoole, DR, Braytee, A & Kennedy, PJ 2016, 'Ensemble Feature Learning of Genomic Data Using Support Vector Machine.', PLoS ONE, vol. 11, no. 6, pp. 1-17.
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Anshar, M & Williams, MA 2016, 'Evolving synthetic pain into an adaptive self-awareness framework for robots', Biologically Inspired Cognitive Architectures, vol. 16, pp. 8-18.
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Avellino, R, Havermans, M, Erpelinck, C, Sanders, MA, Hoogenboezem, R, van de Werken, HJG, Rombouts, E, van Lom, K, van Strien, PMH, Gebhard, C, Rehli, M, Pimanda, J, Beck, D, Erkeland, S, Kuiken, T, de Looper, H, Groeschel, S, Touw, I, Bindels, E & Delwel, R 2016, 'An autonomous CEBPA enhancer specific for myeloid-lineage priming and neutrophilic differentiation', BLOOD, vol. 127, no. 24, pp. 2991-3003.
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Bateman, H, Eckert, C, Geweke, J, Louviere, J, Satchell, S & Thorp, S 2016, 'Risk Presentation and Portfolio Choice', Review of Finance, vol. 20, no. 1, pp. 201-229.
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Benavides Espinosa, MDM & Merigo Lindahl, JM 2016, 'Organizational design as a learning enabler: A fuzzy-set approach', JOURNAL OF BUSINESS RESEARCH, vol. 69, no. 4, pp. 1340-1344.
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Blanco-Mesa, F, Merigo, JM & Kacprzyk, J 2016, 'Bonferroni means with distance measures and the adequacy coefficient in entrepreneurial group theory', KNOWLEDGE-BASED SYSTEMS, vol. 111, pp. 217-227.
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Botezatu, L, Michel, LC, Makishima, H, Schroeder, T, Germing, U, Haas, R, van der Reijden, B, Marneth, AE, Bergevoet, SM, Jansen, JH, Przychodzen, B, Wlodarski, M, Niemeyer, C, Platzbecker, U, Ehninger, G, Unnikrishnan, A, Beck, D, Pimanda, J, Hellstrom-Lindberg, E, Malcovati, L, Boultwood, J, Pellagatti, A, Papaemmanuil, E, Le Coutre, P, Kaeda, J, Opalka, B, Moroy, T, Duehrsen, U, Maciejewski, J & Khandanpour, C 2016, 'GFI1(36N) as a therapeutic and prognostic marker for myelodysplastic syndrome', EXPERIMENTAL HEMATOLOGY, vol. 44, no. 7, pp. 590-595.
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Cai, B, Xu, X, Jia, K, Qing, C & Tao, D 2016, 'DehazeNet: An End-to-End System for Single Image Haze Removal', IEEE TRANSACTIONS ON IMAGE PROCESSING, vol. 25, no. 11, pp. 5187-5198.
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Cai, B, Xu, X, Xing, X, Jia, K, Miao, J & Tao, D 2016, 'BIT: Biologically Inspired Tracker', IEEE TRANSACTIONS ON IMAGE PROCESSING, vol. 25, no. 3, pp. 1327-1339.
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Cao, L 2016, 'Data Science: Nature and Pitfalls', IEEE INTELLIGENT SYSTEMS, vol. 31, no. 5, pp. 66-75.

Cao, L 2016, 'Non-IID Recommender Systems: A Review and Framework of Recommendation Paradigm Shifting', ENGINEERING, vol. 2, no. 2, pp. 212-224.
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Cao, L, Dong, XJ & Zheng, Z 2016, 'E-NSP: Efficient negative sequential pattern mining', Artificial Intelligence, vol. 235, pp. 156-182.
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Cao, X, Han, J, Yang, S, Tao, D & Jiao, L 2016, 'Band selection and evaluation with spatial information', INTERNATIONAL JOURNAL OF REMOTE SENSING, vol. 37, no. 19, pp. 4501-4520.
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Cao, X, Wu, B, Tao, D & Jiao, L 2016, 'Automatic Band Selection Using Spatial-Structure Information and Classifier-Based Clustering', IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 9, no. 9, pp. 4352-4360.
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Casanovas, M, Torres-Martinez, A & Merigo, JM 2016, 'Decision Making in Reinsurance with Induced OWA Operators and Minkowski Distances', CYBERNETICS AND SYSTEMS, vol. 47, no. 6, pp. 460-477.
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Chandrakanthan, V, Yeola, A, Kwan, JC, Oliver, RA, Qiao, Q, Kang, YC, Zarzour, P, Beck, D, Boelen, L, Unnikrishnan, A, Villanueva, JE, Nunez, AC, Knezevic, K, Palu, C, Nasrallah, R, Carnell, M, Macmillan, A, Whan, R, Yu, Y, Hardy, P, Grey, ST, Gladbach, A, Delerue, F, Ittner, L, Mobbs, R, Walkley, CR, Purton, LE, Ward, RL, Wong, JWH, Hesson, LB, Walsh, W & Pimanda, JE 2016, 'PDGF-AB and 5-Azacytidine induce conversion of somatic cells into tissue-regenerative multipotent stem cells', PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, vol. 113, no. 16, pp. E2306-E2315.
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Chang, X, Nie, F, Wang, S, Yang, Y, Zhou, X & Zhang, C 2016, 'Compound Rank-k Projections for Bilinear Analysis', IEEE Transactions on Neural Networks and Learning Systems, vol. 27, no. 7, pp. 1502-1513.
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Chang, X, Nie, F, Yang, Y, Zhang, C & Huang, H 2016, 'Convex Sparse PCA for Unsupervised Feature Learning', ACM Transactions on Knowledge Discovery from Data, vol. 11, no. 1, pp. 1-16.
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Chen, P, Hu, S, Zhang, J, Gao, X, Li, J, Xia, J & Wang, B 2016, 'A Sequence-Based Dynamic Ensemble Learning System for Protein Ligand-Binding Site Prediction', IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, vol. 13, no. 5, pp. 901-912.
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Chen, Q, Chen, Y-PP & Zhang, C 2016, 'Interval-Based Similarity for Classifying Conserved RNA Secondary Structures', IEEE INTELLIGENT SYSTEMS, vol. 31, no. 3, pp. 78-85.
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Chen, Y, Wang, J, Xu, M, He, X & Lu, H 2016, 'A unified model sharing framework for moving object detection', Signal Processing, vol. 124, pp. 72-80.
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Cheng, J, Tao, D, Quan, Y, Wong, DWK, Cheung, GCM, Akiba, M & Liu, J 2016, 'Speckle Reduction in 3D Optical Coherence Tomography of Retina by A-Scan Reconstruction', IEEE TRANSACTIONS ON MEDICAL IMAGING, vol. 35, no. 10, pp. 2270-2279.
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Chua, TS, He, X, Liu, W, Piccardi, M, Wen, Y & Tao, D 2016, 'Big data meets multimedia analytics', Signal Processing, vol. 124, pp. 1-4.
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Cramb, SM, Mengersen, KL, Lambert, PC, Ryan, LM & Baade, PD 2016, 'A flexible parametric approach to examining spatial variation in relative survival', STATISTICS IN MEDICINE, vol. 35, no. 29, pp. 5448-5463.
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Cui, P, Liu, H, Aggarwal, C & Wang, F 2016, 'Uncovering and Predicting Human Behaviors', IEEE INTELLIGENT SYSTEMS, vol. 31, no. 2, pp. 77-78.
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Deng, C, Xu, J, Zhang, K, Tao, D, Gao, X & Li, X 2016, 'Similarity Constraints-Based Structured Output Regression Machine: An Approach to Image Super-Resolution', IEEE Transactions on Neural Networks and Learning Systems.
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Deng, J, Liu, Q, Yang, J & Tao, D 2016, 'M3 CSR: Multi-view, multi-scale and multi-component cascade shape regression', Image and Vision Computing, vol. 47, pp. 19-26.
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Ding, C & Tao, D 2016, 'A Comprehensive Survey on Pose-Invariant Face Recognition', ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY, vol. 7, no. 3.
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Ding, C, Choi, J, Tao, D & Davis, LS 2016, 'Multi-Directional Multi-Level Dual-Cross Patterns for Robust Face Recognition', IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, vol. 38, no. 3, pp. 518-531.
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Ding, S, Shi, Z, Tao, D & An, B 2016, 'Recent advances in Support Vector Machines', NEUROCOMPUTING, vol. 211, pp. 1-3.
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Du, B, Wang, S, Wang, N, Zhang, L, Tao, D & Zhang, L 2016, 'Hyperspectral signal unmixing based on constrained non-negative matrix factorization approach', Neurocomputing, vol. 204, pp. 153-161.
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Du, B, Zhang, Y, Zhang, L & Tao, D 2016, 'Beyond the Sparsity-Based Target Detector: A Hybrid Sparsity and Statistics-Based Detector for Hyperspectral Images', IEEE TRANSACTIONS ON IMAGE PROCESSING, vol. 25, no. 11, pp. 5345-5357.
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Geweke, J 2016, 'Comment on: Reflections on the probability space induced by moment conditions with implications for Bayesian inference', Journal of Financial Econometrics, vol. 14, no. 2, pp. 253-257.
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Geweke, J 2016, 'Sequentially Adaptive Bayesian Learning for a Nonlinear Model of the Secular and Cyclical Behavior of US Real GDP', Econometrics, vol. 4, no. 1, pp. 1-23.
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Ghosh, S, Feng, M, Nguyen, H & Li, J 2016, 'Hypotension Risk Prediction via Sequential Contrast Patterns of ICU Blood Pressure', IEEE Journal of Biomedical and Health Informatics, vol. 20, no. 5, pp. 1416-1426.
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Gong, C, Tao, D, Maybank, SJ, Liu, W, Kang, G & Yang, J 2016, 'Multi-Modal Curriculum Learning for Semi-Supervised Image Classification', IEEE TRANSACTIONS ON IMAGE PROCESSING, vol. 25, no. 7, pp. 3249-3260.
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Gui, J, Liu, T, Tao, D, Sun, Z & Tan, T 2016, 'Representative Vector Machines: A Unified Framework for Classical Classifiers', IEEE Transactions on Cybernetics, vol. 46, no. 8, pp. 1877-1888.
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Hazber, MAG, Li, R, Gu, X & Xu, G 2016, 'Integration mapping rules: Transforming relational database to semantic web ontology', Applied Mathematics and Information Sciences, vol. 10, no. 3, pp. 881-901.
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He, W & Xu, G 2016, 'Social media analytics: unveiling the value, impact and implications of social media analytics for the management and use of online information', Online Information Review, vol. 40, no. 1.
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He, X & Shi, L 2016, 'A Binomial Model of Asset and Option Pricing with Heterogeneous Beliefs', Journal of Management Science and Engineering, vol. 1, no. 1, pp. 94-113.
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He, X, Li, K & Wang, C 2016, 'Volatility clustering: A nonlinear theoretical approach', Journal of Economic Behavior & Organization, vol. 130, pp. 274-297.
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He, XZ & Zheng, H 2016, 'Trading heterogeneity under information uncertainty', Journal of Economic Behavior and Organization, vol. 130, pp. 64-80.
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He, Z, Li, X, You, X, Tao, D & Tang, YY 2016, 'Connected Component Model for Multi-Object Tracking', IEEE TRANSACTIONS ON IMAGE PROCESSING, vol. 25, no. 8, pp. 3698-3711.
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Hesson, LB, Ng, B, Zarzour, P, Srivastava, S, Kwok, C-T, Packham, D, Nunez, AC, Beck, D, Ryan, R, Dower, A, Ford, CE, Pimanda, JE, Sloane, MA, Hawkins, NJ, Bourke, MJ, Wong, JWH & Ward, RL 2016, 'Integrated Genetic, Epigenetic, and Transcriptional Profiling Identifies Molecular Pathways in the Development of Laterally Spreading Tumors', MOLECULAR CANCER RESEARCH, vol. 14, no. 12, pp. 1217-1228.
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Hong, R, Hu, Z, Wang, R, Wang, M & Tao, D 2016, 'Multi-View Object Retrieval via Multi-Scale Topic Models', IEEE TRANSACTIONS ON IMAGE PROCESSING, vol. 25, no. 12, pp. 5814-5827.
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Hong, R, Zhang, L & Tao, D 2016, 'Unified Photo Enhancement by Discovering Aesthetic Communities From Flickr', IEEE TRANSACTIONS ON IMAGE PROCESSING, vol. 25, no. 3, pp. 1124-1135.
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Hou, S, Zhou, S, Chen, L, Feng, Y & Awudu, K 2016, 'Multi-label learning with label relevance in advertising video', Neurocomputing, vol. 171, pp. 932-948.
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Hu, L, Cao, L, Cao, J, Gu, Z, Xu, G & Yang, D 2016, 'Learning Informative Priors from Heterogeneous Domains to Improve Recommendation in Cold-Start User Domains', ACM TRANSACTIONS ON INFORMATION SYSTEMS, vol. 35, no. 2.
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Hu, Y, Wang, N, Tao, D, Gao, X & Li, X 2016, 'SERF: A Simple, Effective, Robust, and Fast Image Super-Resolver From Cascaded Linear Regression', IEEE TRANSACTIONS ON IMAGE PROCESSING, vol. 25, no. 9, pp. 4091-4102.
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Huang, S, Zhang, J, Wang, L & Hua, X-S 2016, 'Social Friend Recommendation Based on Multiple Network Correlation', IEEE TRANSACTIONS ON MULTIMEDIA, vol. 18, no. 2, pp. 287-299.
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Huang, Y, Thoms, JAI, Tursky, ML, Knezevic, K, Beck, D, Chandrakanthan, V, Suryani, S, Olivier, J, Boulton, A, Glaros, EN, Thomas, SR, Lock, RB, MacKenzie, KL, Bushweller, JH, Wong, JWH & Pimanda, JE 2016, 'MAPK/ERK2 phosphorylates ERG at serine 283 in leukemic cells and promotes stem cell signatures and cell proliferation', LEUKEMIA, vol. 30, no. 7, pp. 1552-1561.
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Huque, MH, Anderson, C, Walton, R & Ryan, L 2016, 'Individual level covariate adjusted conditional autoregressive (indiCAR) model for disease mapping.', International Journal of Health Geographics, vol. 15, no. 1, pp. 1-13.
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Huque, MH, Bondell, HD, Carroll, RJ & Ryan, LM 2016, 'Spatial regression with covariate measurement error: A semiparametric approach.', Biometrics, vol. 72, no. 3, pp. 678-686.
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Huque, MH, Carroll, RJ, Diao, N, Christiani, DC & Ryan, LM 2016, 'Exposure Enriched Case-Control (EECC) Design for the Assessment of Gene-Environment Interaction.', Genetic epidemiology, vol. 40, no. 7, pp. 570-578.
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Hussain, W, Hussain, FK, Hussain Omar K & Chang E 2016, 'Provider-Based Optimized Personalized Viable SLA (OPV-SLA) Framework to Prevent SLA Violation', The Computer Journal, vol. 59, no. 12, pp. 1760-1783.
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Kocbek, S, Cavedon, L, Martinez, D, Bain, C, Mac Manus, C, Haffari, G, Zukerman, I & Verspoor, K 2016, 'Text mining electronic hospital records to automatically classify admissions against disease: Measuring the impact of linking data sources', JOURNAL OF BIOMEDICAL INFORMATICS, vol. 64, pp. 158-167.
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Lan, C, Chen, Q & Li, J 2016, 'Grouping miRNAs of similar functions via weighted information content of gene ontology.', BMC Bioinformatics, vol. 17, no. Suppl 19, pp. 159-295.
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Li, D, He, X, Cao, L & Chen, H 2016, 'Permutation anonymization', Journal of Intelligent Information Systems, vol. 47, no. 3, pp. 427-445.
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Li, F, Xu, G & Cao, L 2016, 'Two-level matrix factorization for recommender systems', Neural Computing and Applications, vol. 27, no. 8, pp. 2267-2278.
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Li, J, Fong, S, Mohammed, S & Fiaidhi, J 2016, 'Improving the classification performance of biological imbalanced datasets by swarm optimization algorithms', JOURNAL OF SUPERCOMPUTING, vol. 72, no. 10, pp. 3708-3728.
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Li, J, Fong, S, Mohammed, S, Fiaidhi, J, Chen, Q & Tan, Z 2016, 'Solving the Under-Fitting Problem for Decision Tree Algorithms by Incremental Swarm Optimization in Rare-Event Healthcare Classification', JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS, vol. 6, no. 4, pp. 1102-1110.
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Li, J, Fong, S, Siu, S, Mohammed, S, Fiaidhi, J & Wong, KKL 2016, 'Improving classification of protein binders for virtual drug screening by novel swarm-based feature selection techniques', Computerized Medical Imaging and Graphics.
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Li, J, Fong, S, Sung, Y, Cho, K, Wong, R & Wong, KKL 2016, 'Adaptive swarm cluster-based dynamic multi-objective synthetic minority oversampling technique algorithm for tackling binary imbalanced datasets in biomedical data classification', BioData Mining, vol. 9.
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Li, J, Zhao, B, Deng, C & Da Xu, RY 2016, 'Time Varying Metric Learning for visual tracking', PATTERN RECOGNITION LETTERS, vol. 80, pp. 157-164.
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Li, Q, Xie, B, You, J, Bian, W & Tao, D 2016, 'Correlated Logistic Model With Elastic Net Regularization for Multilabel Image Classification', IEEE TRANSACTIONS ON IMAGE PROCESSING, vol. 25, no. 8, pp. 3801-3813.
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Li, W, Li, H, Dong, T, Yao, J & He, X 2016, 'Traffic sign localization based on edge-color pair and feature filters', ICIC Express Letters, vol. 10, no. 3, pp. 727-732.
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Li, X, Liu, T, Deng, J & Tao, D 2016, 'Video Face Editing Using Temporal-Spatial-Smooth Warping', ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY, vol. 7, no. 3.
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Li, Y, Li, Y & Xu, G 2016, 'Protecting private geosocial networks against practical hybrid attacks with heterogeneous information', Neurocomputing, vol. 210, pp. 81-90.
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Li, Z, Gong, D, Li, Q, Tao, D & Li, X 2016, 'Mutual component analysis for heterogeneous face recognition', ACM Transactions on Intelligent Systems and Technology, vol. 7, no. 3, pp. 1-23.
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Li, Z, Gong, D, Li, X & Tao, D 2016, 'Aging Face Recognition: A Hierarchical Learning Model Based on Local Patterns Selection', IEEE TRANSACTIONS ON IMAGE PROCESSING, vol. 25, no. 5, pp. 2146-2154.
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Liu, C-L, Lovell, B, Tao, D & Tistarelli, M 2016, 'Pattern Recognition, Part 1 INTRODUCTION', IEEE INTELLIGENT SYSTEMS, vol. 31, no. 2, pp. 6-8.
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Liu, C-L, Lovell, B, Tao, D & Tistarelli, M 2016, 'Pattern Recognition, Part 2 INTRODUCTION', IEEE INTELLIGENT SYSTEMS, vol. 31, no. 3, pp. 3-5.
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Liu, F, Xu, X, Qiu, S, Qing, C & Tao, D 2016, 'Simple to Complex Transfer Learning for Action Recognition', IEEE TRANSACTIONS ON IMAGE PROCESSING, vol. 25, no. 2, pp. 949-960.
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Liu, J, Su, H, Hu, W, Zhang, L & Tao, D 2016, 'A minimal Munsell value error based laser printer model', Neurocomputing, vol. 204, pp. 231-239.
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Liu, Q, Deng, J & Tao, D 2016, 'Dual Sparse Constrained Cascade Regression for Robust Face Alignment', IEEE TRANSACTIONS ON IMAGE PROCESSING, vol. 25, no. 2, pp. 700-712.
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Liu, Q, Song, J & Li, J 2016, 'Using contrast patterns between true complexes and random subgraphs in PPI networks to predict unknown protein complexes.', Scientific Reports, vol. 6, pp. 1-15.
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Liu, T & Tao, D 2016, 'Classification with Noisy Labels by Importance Reweighting', IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, vol. 38, no. 3, pp. 447-461.
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Liu, T & Tao, D 2016, 'On the Performance of Manhattan Nonnegative Matrix Factorization', IEEE Transactions on Neural Networks and Learning Systems, vol. 27, no. 9, pp. 1851-1863.
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Liu, T, Tao, D & Xu, D 2016, 'Dimensionality-Dependent Generalization Bounds for k-Dimensional Coding Schemes', NEURAL COMPUTATION, vol. 28, no. 10, pp. 2213-2249.
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Liu, W, Chen, X, Wu, Q & Yang, J 2016, 'Fast robust detection of edges in noisy depth images', Journal of Electronic Imaging, vol. 25, no. 5.
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Liu, W, Zha, Z-J, Wang, Y, Lu, K & Tao, D 2016, 'p-Laplacian Regularized Sparse Coding for Human Activity Recognition', IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, vol. 63, no. 8, pp. 5120-5129.
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Liu, X, Deng, C, Lang, B, Tao, D & Li, X 2016, 'Query-Adaptive Reciprocal Hash Tables for Nearest Neighbor Search', IEEE TRANSACTIONS ON IMAGE PROCESSING, vol. 25, no. 2, pp. 907-919.
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Liu, X, Huang, L, Deng, C, Lang, B & Tao, D 2016, 'Query-Adaptive Hash Code Ranking for Large-Scale Multi-View Visual Search', IEEE TRANSACTIONS ON IMAGE PROCESSING, vol. 25, no. 10, pp. 4514-4524.
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Llopis-Albert, C, Merigo, JM & Xu, Y 2016, 'A coupled stochastic inverse/sharp interface seawater intrusion approach for coastal aquifers under groundwater parameter uncertainty', JOURNAL OF HYDROLOGY, vol. 540, pp. 774-783.
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Llopis-Albert, C, Palacios-Marques, D & Merigo, JM 2016, 'Decision making under uncertainty in environmental projects using mathematical simulation modeling', ENVIRONMENTAL EARTH SCIENCES, vol. 75, no. 19.
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Luo, Y, Wen, Y, Tao, D, Gui, J & Xu, C 2016, 'Large Margin Multi-Modal Multi-Task Feature Extraction for Image Classification', IEEE TRANSACTIONS ON IMAGE PROCESSING, vol. 25, no. 1, pp. 414-427.
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Merigo, JM & Nunez, A 2016, 'Influential journals in health research: a bibliometric study', GLOBALIZATION AND HEALTH, vol. 12.
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Merigo, JM, Cancino, CA, Coronado, F & Urbano, D 2016, 'Academic research in innovation: a country analysis', SCIENTOMETRICS, vol. 108, no. 2, pp. 559-593.
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Merigo, JM, Gil-Lafuente, AM & Gil-Lafuente, J 2016, 'Business, industrial marketing and uncertainty', JOURNAL OF BUSINESS & INDUSTRIAL MARKETING, vol. 31, no. 3, pp. 325-327.
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Merigo, JM, Palacios-Marques, D & Ribeiro-Navarrete, B 2016, 'Aggregation systems for sales forecasting (vol 68, pg 2299, 2015)', JOURNAL OF BUSINESS RESEARCH, vol. 69, no. 6, pp. 2325-2325.
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Merigo, JM, Palacios-Marques, D & Zeng, S 2016, 'Subjective and objective information in linguistic multi-criteria group decision making', EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, vol. 248, no. 2, pp. 522-531.
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Merigo, JM, Peris-Ortiz, M, Navarro-Garcia, A & Rueda-Armengot, C 2016, 'Aggregation operators in economic growth analysis and entrepreneurial group decision-making', APPLIED SOFT COMPUTING, vol. 47, pp. 141-150.
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Merigo, JM, Rocafort, A & Pedro Aznar-Alarcon, J 2016, 'BIBLIOMETRIC OVERVIEW OF BUSINESS & ECONOMICS RESEARCH', JOURNAL OF BUSINESS ECONOMICS AND MANAGEMENT, vol. 17, no. 3, pp. 397-413.
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Merigo, JM, Yang, J-B & Xu, D-L 2016, 'Demand Analysis with Aggregation Systems', INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, vol. 31, no. 5, pp. 425-443.
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Musial, K, Brodka, P & Magnani, M 2016, 'Social Network Analysis in Applications', AI COMMUNICATIONS, vol. 29, no. 1, pp. 55-56.
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Nasrallah, R, Fast, EM, Solaimani, P, Knezevic, K, Eliades, A, Patel, R, Thambyrajah, R, Unnikrishnan, A, Thoms, J, Beck, D, Vink, CS, Smith, A, Wong, J, Shepherd, M, Kent, D, Roychoudhuri, R, Paul, F, Klippert, J, Hammes, A, Willnow, T, Göttgens, B, Dzierzak, E, Zon, LI, Lacaud, G, Kouskoff, V & Pimanda, JE 2016, 'Identification of novel regulators of developmental hematopoiesis using Endoglin regulatory elements as molecular probes.', Blood, vol. 128, no. 15, pp. 1928-1939.
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Nguyen, Q, Khalifa, N, Alzamora, P, Gleeson, A, Catchpoole, D, Kennedy, P & Simoff, S 2016, 'Visual Analytics of Complex Genomics Data to Guide Effective Treatment Decisions', Journal of Imaging, vol. 2, no. 4, pp. 1-17.
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Nie, L, Hong, R, Zhang, L, Xia, Y, Tao, D & Sebe, N 2016, 'Perceptual Attributes Optimization for Multivideo Summarization', IEEE Transactions on Cybernetics, vol. 46, no. 12, pp. 2991-3003.
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Otero Gonzalez, L, Rodriguez Gil, LI, Martorell Cunill, O & Merigo Lindahl, JM 2016, 'The effect of financial innovation on European banks' risk', JOURNAL OF BUSINESS RESEARCH, vol. 69, no. 11, pp. 4781-4786.
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Pan, S, Wu, J, Zhu, X, Zhang, C & Yu, PS 2016, 'Joint Structure Feature Exploration and Regularization for Multi-Task Graph Classification', IEEE Transactions on Knowledge and Data Engineering, vol. 28, no. 3, pp. 715-728.
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Peng, C, Gao, X, Wang, N, Tao, D, Li, X & Li, J 2016, 'Multiple Representations-Based Face Sketch-Photo Synthesis', IEEE Transactions on Neural Networks and Learning Systems, vol. 27, no. 11, pp. 2201-2215.
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Peng, F, Lu, J, Wang, Y, Xu, RYD, Ma, C & Yang, J 2016, 'N-dimensional Markov random field prior for cold-start recommendation', Neurocomputing, vol. 191, pp. 187-199.
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Perera, D, Poulos, RC, Shah, A, Beck, D, Pimanda, JE & Wong, JWH 2016, 'Differential DNA repair underlies mutation hotspots at active promoters in cancer genomes', NATURE, vol. 532, no. 7598, pp. 259-+.
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Philip Chen, CL, Tao, D & You, X 2016, 'Big learning in social media analytics', Neurocomputing, vol. 204, pp. 1-2.
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Qiao, M, Xu, RYD, Bian, W & Tao, D 2016, 'Fast Sampling for Time-Varying Determinantal Point Processes', ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA, vol. 11, no. 1.
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Ren, W, Huang, K, Tao, D & Tan, T 2016, 'Weakly Supervised Large Scale Object Localization with Multiple Instance Learning and Bag Splitting', IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, vol. 38, no. 2, pp. 405-416.
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Richmond, J, Robbins, A, Evans, K, Beck, D, Kurmasheva, RT, Billups, CA, Carol, H, Heatley, S, Sutton, R, Marshall, GM, White, D, Pimanda, J, Houghton, PJ, Smith, MA & Lock, RB 2016, 'Acute Sensitivity of Ph-like Acute Lymphoblastic Leukemia to the SMAC-Mimetic Birinapant', CANCER RESEARCH, vol. 76, no. 15, pp. 4579-4591.
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Ryan, LM, Wand, MP & Malecki, AA 2016, 'Bringing coals to Newcastle', Significance, vol. 13, no. 6, pp. 32-37.
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Sablok, G, Pérez-Pulido, AJ, Do, T, Seong, TY, Casimiro-Soriguer, CS, La Porta, N, Ralph, PJ, Squartini, A, Muñoz-Merida, A & Harikrishna, JA 2016, 'PlantFuncSSR: Integrating first and next generation transcriptomics for mining of SSR-functional domains markers', Frontiers in Plant Science, vol. 7, pp. 1-9.
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Shen, B, Cao, L, Yao, M & Gao, Y 2016, 'Mining preferred navigation patterns by consolidating both selection and time preferences', World Wide Web.
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Shen, F, Zhou, X, Yang, Y, Song, J, Shen, HT & Tao, D 2016, 'A Fast Optimization Method for General Binary Code Learning', IEEE TRANSACTIONS ON IMAGE PROCESSING, vol. 25, no. 12, pp. 5610-5621.
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Shi, X, Guo, Z, Nie, F, Yang, L, You, J & Tao, D 2016, 'Two-Dimensional Whitening Reconstruction for Enhancing Robustness of Principal Component Analysis', IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, vol. 38, no. 10, pp. 2130-2136.
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Shields, BJ, Jackson, JT, Metcalf, D, Shi, W, Huang, Q, Garnham, AL, Glaser, SP, Beck, D, Pimanda, JE, Bogue, CW, Smyth, GK, Alexander, WS & McCormack, MP 2016, 'Acute myeloid leukemia requires Hhex to enable PRC2-mediated epigenetic repression of Cdkn2a', GENES & DEVELOPMENT, vol. 30, no. 1, pp. 78-91.
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Stoianoff, NP & Walpole, M 2016, 'Tax and the environment: an evaluation framework for tax policy reform - group Delphi study', Australian Tax Forum: a journal of taxation policy, law and reform, vol. 31, no. 4, pp. 693-716.
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Sun, L, Ma, J, Zhang, Y, Dong, H & Hussain, FK 2016, 'Cloud-FuSeR: Fuzzy ontology and MCDM based cloud service selection', FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, vol. 57, pp. 42-55.
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Surden, H & Williams, M-A 2016, 'How Self-Driving Cars Work'.

Surden, H & Williams, M-A 2016, 'Technological Opacity, Predictability, and Self-Driving Cars', Cardozo Law Review, vol. 38, pp. 1-52.
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Tee, AE, Liu, B, Song, R, Li, J, Pasquier, E, Cheung, BB, Jiang, C, Marshall, GM, Haber, M, Norris, MD, Fletcher, JI, Dinger, ME & Liu, T 2016, 'The long noncoding RNA MALAT1 promotes tumor-driven angiogenesis by up-regulating pro-angiogenic gene expression.', Oncotarget, vol. 7, no. 8, pp. 8663-8675.
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Tian, D & Tao, D 2016, 'Coupled Learning for Facial Deblur', IEEE TRANSACTIONS ON IMAGE PROCESSING, vol. 25, no. 2, pp. 961-972.
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Unnikrishnan, A, Guan, YF, Huang, Y, Beck, D, Thoms, JAI, Peirs, S, Knezevic, K, Ma, S, de Walle, IV, de Jong, I, Ali, Z, Zhong, L, Raftery, MJ, Taghon, T, Larsson, J, MacKenzie, KL, Van Vlierberghe, P, Wong, JWH & Pimanda, JE 2016, 'A quantitative proteomics approach identifies ETV6 and IKZF1 as new regulators of an ERG-driven transcriptional network.', Nucleic Acids Research, vol. 44, no. 22, pp. 10644-10661.
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Usman, M, He, X, Lam, K, Xu, M, Bokhari, SM & Chen, J 2016, 'Frame Interpolation for Cloud-Based Mobile Video Streaming', IEEE Transactions on Multimedia, vol. 18, no. 5, pp. 831-839.
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Valenzuela-Fernández, L, Nicolas, C, Gil-Lafuente, J & Merigo, JM 2016, 'Fuzzy indicators for customer retention', International Journal of Engineering Business Management, vol. 8, pp. 1-8.
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Waller, D, Mondy, P, Brama, T, Fisher, J, King, A, Malkov, K, Wall-Smith, D, Ryan, L & Irving, DO 2016, 'Determining the effect of vein visualization technology on donation success, vasovagal symptoms, anxiety and intention to re-donate in whole blood donors aged 18-30 years: A randomized controlled trial', VOX SANGUINIS, vol. 111, no. 2, pp. 135-143.
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Wang, C, Dong, X, Han, L, Su, X-D, Zhang, Z, Li, J & Song, J 2016, 'Identification of WD40 repeats by secondary structure-aided profile-profile alignment.', Journal of theoretical biology, vol. 398, pp. 122-129.
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Wang, C, Fang, Y & Li, JY 2016, 'Estimation of NON-WSSUS channel for OFDM system: Exploiting support correlations through a novel adaptive weighted predict-re-estimate L1 minimization approach', Journal of Communications, vol. 11, no. 2, pp. 149-156.
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Wang, M, Fu, W, Hao, S, Tao, D & Wu, X 2016, 'Scalable Semi-Supervised Learning by Efficient Anchor Graph Regularization', IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, vol. 28, no. 7, pp. 1864-1877.
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Wang, R & Tao, D 2016, 'Non-Local Auto-Encoder With Collaborative Stabilization for Image Restoration', IEEE TRANSACTIONS ON IMAGE PROCESSING, vol. 25, no. 5, pp. 2117-2129.
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Wang, S, Tao, D & Yang, J 2016, 'Relative Attribute SVM+ Learning for Age Estimation', IEEE Transactions on Cybernetics, vol. 46, no. 3, pp. 827-839.
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Wang, X, Yan, R, Li, J & Song, J 2016, 'SOHPRED: a new bioinformatics tool for the characterization and prediction of human S-sulfenylation sites', MOLECULAR BIOSYSTEMS, vol. 12, no. 9, pp. 2849-2858.
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Wang, Y, Zhang, J, Liu, Z, Wu, Q, Chou, P, Zhang, Z & Jia, Y 2016, 'Handling Occlusion and Large Displacement through Improved RGB-D Scene Flow Estimation', IEEE Transactions on Circuits and Systems for Video Technology, vol. 26, no. 7, pp. 1265-1278.
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Wu, J, Hong, Z, Pan, S, Zhu, X, Cai, Z & Zhang, C 2016, 'Multi-graph-view subgraph mining for graph classification', Knowledge and Information Systems, vol. 48, no. 1, pp. 29-54.
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Wu, J, Pan, S, Zhu, X, Zhang, P & Zhang, C 2016, 'SODE: Self-Adaptive One-Dependence Estimators for classification', Pattern Recognition, vol. 51, pp. 358-377.
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Xie, Y, Qu, Y, Tao, D, Wu, W, Yuan, Q & Zhang, W 2016, 'Hyperspectral Image Restoration via Iteratively Regularized Weighted Schatten p-Norm Minimization', IEEE Transactions on Geoscience and Remote Sensing, vol. 54, no. 8, pp. 4642-4659.
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Xie, Y, Zhang, W, Tao, D, Hu, W, Qu, Y & Wang, H 2016, 'Removing Turbulence Effect via Hybrid Total Variation and Deformation-Guided Kernel Regression', IEEE TRANSACTIONS ON IMAGE PROCESSING, vol. 25, no. 10, pp. 4943-4958.
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Xiong, H, Liu, T, Tao, D & Shen, HT 2016, 'Dual Diversified Dynamical Gaussian Process Latent Variable Model for Video Repairing', IEEE TRANSACTIONS ON IMAGE PROCESSING, vol. 25, no. 8, pp. 3626-3637.
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Xu, C, Liu, T, Tao, D & Xu, C 2016, 'Local Rademacher Complexity for Multi-label Learning', IEEE Transactions on Image Processing, vol. 25, no. 3, pp. 1495-1507.
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Xu, G, Fu, B & Gu, Y 2016, 'Point-of-Interest Recommendations via a Supervised Random Walk Algorithm', IEEE Intelligent Systems, vol. 31, no. 1, pp. 15-23.
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Xu, Z, Hong, Z, Zhang, Y, Wu, J, Tsoi, AC & Tao, D 2016, 'Multinomial Latent Logistic Regression for Image Understanding', IEEE TRANSACTIONS ON IMAGE PROCESSING, vol. 25, no. 2, pp. 973-987.
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Yang, W, Jin, L, Tao, D, Xie, Z & Feng, Z 2016, 'DropSample: A new training method to enhance deep convolutional neural networks for large-scale unconstrained handwritten Chinese character recognition', PATTERN RECOGNITION, vol. 58, pp. 190-203.
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Yang, X, Gao, X, Tao, D, Li, X, Han, B & Li, J 2016, 'Shape-Constrained Sparse and Low-Rank Decomposition for Auroral Substorm Detection', IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, vol. 27, no. 1, pp. 32-46.
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Ye, L, Liu, Z, Zhou, X, Shen, L & Zhang, J 2016, 'Saliency Detection Via Similar Image Retrieval', IEEE SIGNAL PROCESSING LETTERS, vol. 23, no. 6, pp. 838-842.
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Yi, X, Paulet, R, Bertino, E & Xu, G 2016, 'Private Cell Retrieval from Data Warehouses', IEEE Transactions on Information Forensics and Security, vol. 11, no. 6, pp. 1346-1361.
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You, X, Guo, W, Yu, S, Li, K, Prncipe, JC & Tao, D 2016, 'Kernel Learning for Dynamic Texture Synthesis', IEEE TRANSACTIONS ON IMAGE PROCESSING, vol. 25, no. 10, pp. 4782-4795.
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Yu, B, Fang, M & Tao, D 2016, 'Per-Round Knapsack-Constrained Linear Submodular Bandits.', Neural computation, vol. 28, no. 12, pp. 2757-2789.
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Yu, D, Li, D-F & Merigo, JM 2016, 'Dual hesitant fuzzy group decision making method and its application to supplier selection', INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, vol. 7, no. 5, pp. 819-831.
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Yu, D, Li, D-F, Merigo, JM & Fang, L 2016, 'Mapping development of linguistic decision making studies', JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, vol. 30, no. 5, pp. 2727-2736.
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Yu, D, Merigo, JM & Xu, Y 2016, 'Group Decision Making in Information Systems Security Assessment Using Dual Hesitant Fuzzy Set', INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, vol. 31, no. 8, pp. 786-812.
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Zhang, P, He, J, Long, G, Huang, G & Zhang, C 2016, 'Towards anomalous diffusion sources detection in a large network', ACM Transactions on Internet Technology, vol. 16, no. 1.
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Zhang, Q, Zhang, P, Long, G, Ding, W, Zhang, C & Wu, X 2016, 'Online learning from trapezoidal data streams', IEEE Transactions on Knowledge and Data Engineering, vol. 28, no. 10, pp. 2709-2723.
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Zhang, T, Yang, Z, Jia, W, Yang, B, Yang, J & He, X 2016, 'A new method for violence detection in surveillance scenes', Multimedia Tools and Applications, vol. 75, no. 12, pp. 7327-7349.
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Zhang, Y, Wu, J, Cai, Z, Zhang, P & Chen, L 2016, 'Memetic Extreme Learning Machine', Pattern Recognition, vol. 58, pp. 135-148.
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Zhang, Z, Liu, Y, Xu, G & Chen, H 2016, 'A weighted adaptation method on learning user preference profile', Knowledge-Based Systems, vol. 112, pp. 114-126.
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Zhang, Z, Liu, Y, Xu, G & Luo, G 2016, 'Recommendation using DMF-based fine tuning method', Journal of Intelligent Information Systems, vol. 47, pp. 233-246.
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Zhao, Y, He, X, Chen, B & Zhao, X 2016, 'Enhanced kernel minimum squared error algorithm and its application in face recognition', Journal of Southeast University (English Edition), vol. 32, no. 1, pp. 35-38.
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Zheng, H, Geng, X, Tao, D & Jin, Z 2016, 'A multi-task model for simultaneous face identification and facial expression recognition', NEUROCOMPUTING, vol. 171, pp. 515-523.
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Zheng, Y, Ji, B, Song, R, Wang, S, Li, T, Zhang, X, Chen, K, Li, T & Li, J 2016, 'Accurate detection for a wide range of mutation and editing sites of microRNAs from small RNA high-throughput sequencing profiles', NUCLEIC ACIDS RESEARCH, vol. 44, no. 14.
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Zheng, Z, Wei, W, Liu, C, Cao, W, Cao, L & Bhatia, M 2016, 'An effective contrast sequential pattern mining approach to taxpayer behavior analysis', World Wide Web, vol. 19, no. 4, pp. 633-651.
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Zhou, HL, Lam, KM & He, XS 2016, 'Shape-Appearance-Correlated Active Appearance Model Pattern Recognition', Pattern Recognition, vol. 56, pp. 88-99.
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Zhou, L, Merigo, JM, Chen, H & Liu, J 2016, 'The optimal group continuous logarithm compatibility measure for interval multiplicative preference relations based on the COWGA operator', INFORMATION SCIENCES, vol. 328, pp. 250-269.
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Conferences

Abdullaev, S, McBurney, P & Musial, K 2016, 'Pricing Options with Portfolio-Holding Trading Agents in Direct Double Auction', ECAI 2016: 22ND EUROPEAN CONFERENCE ON ARTIFICIAL INTELLIGENCE, 22nd European Conference on Artificial Intelligence (ECAI), IOS PRESS, Hague, NETHERLANDS, pp. 1754-1755.
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Abidi, S, Piccardi, M & Williams, M 2016, 'Static Action Recognition by Efficient Greedy Inference', Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, IEEE Winter Conference on Applications of Computer Vision, IEEE, Lake Placid, NY, USA, pp. 1-8.
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Afifovic, J, Chiarella, C, He, X & Wei, L 2016, 'High frequency trading and learning in a dynamic limit order market', The Inaugural Workshop on the Complex Information and Financial Market Dydnmics, Tianjin, China.

Aldebei, K, He, X, Jia, W & Yang, J 2016, 'Unsupervised Multi-Author Document Decomposition Based on Hidden Markov Model', Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, Annual Meeting of the Association for Computational Linguistics, Association for Computational Linguistics, Berlin, Germany, pp. 706-714.
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Alkalbani, AM & Hussain, FK 2016, 'A comparative study and future research directions in cloud service discovery', Proceedings of the 2016 IEEE 11th Conference on Industrial Electronics and Applications, ICIEA 2016, IEEE Conference on Industrial Electronics and Applications, IEEE, Dearborn, MI, United States, pp. 1049-1056.
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Alkalbani, AM, Ghamry, AM, Hussain, FK & Hussain, OK 2016, 'Harvesting Multiple Resources for Software as a Service Offers: A Big Data Study', Neural Information Processing (LNCS), International Conference on Neural Information Processing, Springer, Kyoto, Japan, pp. 61-71.
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Alkalbani, AM, Ghamry, AM, Hussain, FK & Hussain, OK 2016, 'Predicting the sentiment of SaaS online reviews using supervised machine learning techniques', Proceedings of the International Joint Conference on Neural Networks 2016, IEEE International Joint Conference on Neural Networks, IEEE, Vancouver, CANADA, pp. 1547-1553.
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Alkalbani, AM, Ghamry, AM, Hussain, FK & Hussain, OK 2016, 'Sentiment analysis and classification for software as a service reviews', Proceedings - International Conference on Advanced Information Networking and Applications, AINA, International Conference on Advanced Information Networking and Applications (was ICOIN), IEEE, Crans-Montana, Switzerland, pp. 53-58.
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Arifovic, J, Chiarella, C, He, X & Wei, L 2016, 'High frequency trading and learning in a dynamic limit order market', Quantitative Methods in Finance, Sydney.

Arifovic, J, Chiarella, C, He, X & Wei, L 2016, 'High frequency trading and learning in a dynamic limit order market', International Conference on Computing in Economics and Finance, Bordeaux.
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Awwad, S & Piccardi, M 2016, 'Local depth patterns for fine-grained activity recognition in depth videos', Proceedings of the International Conference Image and Vision Computing New Zealand, Image and Vision Computing New Zealand (IVCNZ), IEEE, Palmerston North, New Zealand, pp. 214-219.
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Beck, D, Thoms, J, 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, B, Berdel, W, Woermann, B, Buechner, T, Hiddemann, W, Bohlander, S, Scott, H, Lewis, I, D'Andrea, R, Wong, J & Pimanda, J 2016, 'Integrative analysis of lincrna expression in 922 acute myeloid leukemia patients reveals multiple prognostic gene signatures', Haematologica, pp. 208-209.

Blanco-Mesa, F & Merigó, JM 2016, 'Bonferroni means with the adequacy coefficient and the index of maximum and minimum level', Lecture Notes in Business Information Processing, pp. 155-166.
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Braytee, A, Catchpoole, DR, Kennedy, PJ & Liu, W 2016, 'Balanced Supervised Non-Negative Matrix Factorization for Childhood Leukaemia Patients', CIKM '16 Proceedings of the 25th ACM International on Conference on Information and Knowledge Management, ACM International Conference on Information and Knowledge Management, ACM, Indianapolis, Indiana, USA.
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Braytee, A, Liu, W & Kennedy, P 2016, 'A Cost-Sensitive Learning Strategy for Feature Extraction from Imbalanced Data', Springer International Publishing, International Conference on Neural Information Processing, Springer International Publishing, Kyoto, Japan, pp. 78-86.
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Cai, B, Xu, X & Tao, D 2016, 'Real-time video dehazing based on spatio-temporal MRF', Advances in Multimedia Information Processing - PCM 2016 (LNCS), Pacific-Rim Conference on Multimedia, springer, Xi´an, China, pp. 306-314.
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Cao, L & Zhu, H 2016, 'Message from General Chairs', Proceedings - 2016 IEEE 2nd International Conference on Big Data Computing Service and Applications, BigDataService 2016, p. x.
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Chalapathy, R, Zare Borzeshi, E & Piccardi, M 2016, 'An Investigation of Recurrent Neural Architectures for Drug Name Recognition', Seventh International Workshop on Health Text Mining and Information Analysis (LOUHI 2016), International Workshop on Health Text Mining and Information Analysis, Louhi, Austin, Texas, USA.
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Chalapathy, R, Zare Borzeshi, E & Piccardi, M 2016, 'Bidirectional LSTM-CRF for Clinical Concept Extraction', Proceedings for the Clinical NLP workshop - Bidirectional LSTM-CRF for Clinical Concept Extraction, Clinical Natural Language Programming Workshop, ClinicalNLP, Osaka, Japan.
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Chang, X, Yang, Y, Long, G, Zhang, C & Hauptmann, AG 2016, 'Dynamic concept composition for zero-example event detection', Proceedings of 30th AAAI Conference on Artificial Intelligence, AAAI 2016, AAAI Conference on Artificial Intelligence, Association for the Advancement of Artificial Intelligence, Phoenix, Arizona, United States, pp. 3464-3470.
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Cheema, P, Khoa, NLD, Alamdari, MM, Liu, W, Wang, Y, Chen, F & Runcie, P 2016, 'On Structural Health Monitoring Using Tensor Analysis and Support Vector Machine with Artificial Negative Data', CIKM '16 Proceedings of the 25th ACM International on Conference on Information and Knowledge Management, ACM International Conference on Information and Knowledge Management, ACM, Indianapolis, Indiana, USA, pp. 1813-1822.
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Chen, Q, Hu, L, Xu, J, Liu, W & cao, L 2015, 'Document Similarity Analysis via Involving Both Explicit and Implicit Semantic Couplings', Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, DSAA 2015, International Conference on Data Science and Advanced Analytics, IEEE, Paris.
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Chen, Q, Lan, C, Li, J, Chen, B, Wang, L & Zhang, C 2016, 'Depth-first search encoding of RNA substructures', Intelligent Computing Theories and Application, International Conference on Intelligent Computing (ICIC), Springer, Lanzhou, China, pp. 328-334.
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Chen, Y, Li, X, Li, L, Liu, G & Xu, G 2016, 'Modeling user mobility via user psychological and geographical behaviors towards point of-interest recommendation', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Database Systems for Advanced Applications, Springer, Dallas, Texas, USA, pp. 364-380.
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Chinchore, A, Xu, G & Jiang, F 2016, 'Classifying sybil in MSNs using C4.5', Proceedings of 2016 International Conference on Behavioral, Economic, Socio - Cultural Computing, International Conference on Behavioral, Economic, Socio - Cultural Computing (BESC), IEEE, Durham, USA.
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Cho, N, Wu, Q, Xu, J & Zhang, J 2016, 'Content Authoring Using Single Image in Urban Environments for Augmented Reality', Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications (DICTA), Digital Image Computing Techniques and Applications, IEEE, Gold Coast, Australia, pp. 1-7.
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Chomsiri, T, He, XS, Nanda, P & Tan, Z 2016, 'An Improvement of Tree-Rule Firewall for a Large Network: Supporting Large Rule Size and Low Delay', Proceedings of the 2016 IEEE Trustcom/BigDataSE/I​SPA, IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), IEEE, Tianjin, China, pp. 178-184.
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Chu, C, Xu, G, Brownlow, J & Fu, B 2016, 'Deployment of churn prediction model in financial services industry', Proceedings of 2016 International Conference on Behavioral, Economic, Socio - Cultural Computing, International Conference on Behavioral, Economic, Socio - Cultural Computing (BESC), IEEE, Durham, USA, pp. 1-2.
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Do, D & Liu, W 2016, 'ASTEN: an Accurate and Scalable Approach to Coupled Tensor Factorization', the International Joint Conference in Neural Networks, The International Joint Conference in Neural Networks, IEEE, Vancouver, Canada, pp. 99-106.
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Do, Q, Pham, T, Liu, W & Ramamohanarao, K 2016, 'WTEN: An Advanced Coupled Tensor Factorization Strategy for Learning from Imbalanced Data', Web Information Systems Engineering – WISE 2016, International Conference on Web Information Systems Engineering, Springer International Publishing, Shanghai, China, pp. 537-552.
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Do, QNT, Zhilin, A, Junior, CZP, Wang, G & Hussain, FK 2016, 'A network-based approach to detect spammer groups', Proceedings of the International Joint Conference on Neural Networks, IEEE International Joint Conference on Neural Networks, IEEE, Vancouver, BC, Canada, pp. 3642-3648.
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Fan, X, Xu, RYD & Cao, L 2016, 'Copula mixed-membership stochastic block model', IJCAI International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence, AAAI Press / International Joint Conferences on Artificial Intelligence, New York City, New York, United States, pp. 1462-1468.
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Fang, M, Yin, J, Zhu, X & Zhang, C 2016, 'TrGraph: Cross-network transfer learning via common signature subgraphs', 2016 IEEE 32nd International Conference on Data Engineering (ICDE) (2016), IEEE 32nd International Conference on Data Engineering, IEEE, Helsinki, Finland, pp. 1534-1535.
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Fu, H, Wang, C, Tao, D & Black, MJ 2016, 'Occlusion boundary detection via deep exploration of context', Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, IEEE Conference on Computer Vision and Pattern Recognition, IEEE, Las Vegas, Nevada, pp. 241-250.
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Gao, F & Musial-Gabrys, K 2016, 'Hybrid Structure-based Link Prediction Model', PROCEEDINGS OF THE 2016 IEEE/ACM INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL NETWORKS ANALYSIS AND MINING ASONAM 2016, 8th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), IEEE, San Francisco, CA, pp. 1221-1228.

Gaussier, E & Cao, L 2016, 'Conference Report on 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA'2015) [Conference Reports]', IEEE Computational Intelligence Magazine, pp. 13-14.
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Ghosh, S, Nguyen, H & Li, J 2016, 'Predicting short-term ICU outcomes using a sequential contrast motif based classification framework', Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, International Conference of the IEEE Engineering in Medicine and Biology Society, IEEE, Orlando, Florida, USA, pp. 5612-5615.
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Ghosh, S, Zheng, Y, Lammers, T, Chen, YY, Fitzmaurice, C, Johnston, S & Li, J 2016, 'Deriving public sector workforce insights: A case study using Australian public sector employment profiles', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), International Conference on Advanced Data Mining and Applications, Springer, Gold Coast, Queensland, Australia, pp. 764-774.
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Gong, C, Tao, D, Yang, J & Liu, W 2016, 'Teaching-to-learn and learning-to-teach for multi-label propagation', Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16), AAAI Conference on Artificial Intelligence, AAAI, Arizona, pp. 1610-1616.
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Gong, M, Zhang, K, Liu, T, Tao, D, Glymour, C & Scholkopf, B 2016, 'Domain adaptation with conditional transferable components', Proceedings of Machine Learning Research, International Conference on International Conference on Machine Learning (ICML), ACM, New York, USA, pp. 2839-2848.
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Gu, K, Liu, M, Zhou, T, Liu, F, He, XS, Yang, J & Qiao, Y 2016, 'Patch-based Object Tracking via Locality-constrained Linear Coding', Proceedings of the 35th Chinese Control Conference, Chinese Control Conference, IEEE, Chengdu, China.
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Guo, H, Li, X, He, M, Zhao, X, Liu, G & Xu, G 2016, 'CoSoLoRec: Joint factor model with content, social, location for heterogeneous point-of-interest recommendation', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) International Conference on Knowledge Science, Engineering and Management, International Conference on Knowledge Science, Engineering and Management, Springer, Passau, Germany, pp. 613-627.
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Guo, Y, Tao, D, Yu, J, Hao, X, Li, Y & Tao, D 2016, 'Deep Neural Networks with Relativity Learning for facial expression recognition', 2016 IEEE International Conference on Multimedia and Expo Workshop, ICMEW 2016, IEEE International Conference on Multimedia and Expo, IEEE, Seattle, Washington, United States.
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Han, B, Tsang, IW & Chen, L 2016, 'On the Convergence of A Family of Robust Losses for Stochastic Gradient Descent', Machine Learning and Knowledge Discovery in Databases - LNCS, The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML-PKDD), Springer, Riva del Garda, Italy.
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Han, B, Zhang, L, Gao, X, Zhao, X & Tao, D 2016, 'Embedded locality discriminant GPLVM for dimensionality reduction', Proceedings of the International Joint Conference on Neural Networks, IEEE International Joint Conference on Neural Networks, IEEE, Vancouver, Canada, pp. 2431-2438.
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Hazber, MAG, Li, R, Gu, X, Xu, G & Li, Y 2015, 'Semantic SPARQL Query in a Relational Database Based on Ontology Construction', Proceedings - 2015 11th International Conference on Semantics, Knowledge and Grids, SKG 2015, International Conference on Semantics Knowledge and Grid, IEEE, China, pp. 25-32.
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Hazber, MAG, Li, R, Xu, G & Alalayah, KM 2016, 'An approach for automatically generating R2RML-based direct mapping from relational databases', Communications in Computer and Information Science, International Conference of Young Computer Scientists, Engineers and Educators (ICYCSEE), Springer, Harbin, China, pp. 151-169.
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Hazber, MAG, Li, R, Zhang, Y & Xu, G 2015, 'An approach for mapping relational database into ontology', Proceedings - 2015 12th Web Information System and Application Conference, WISA 2015, Web Information System and Application Conference (WISA), IEEE, Jinan, China, pp. 120-125.
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He, X, Li, K & Li, Y 2016, 'Asset allocation with time series momentum and reversal', Proceeding of China International Conference in Finance, China International Conference in Finance, CICF, Xiamen, China.
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He, X, Li, K & Shi, L 2016, 'A simple asset pricing model with social interaction and differences in opinion', International Conference on Applied Financial Economics, Shanghai, China.

Hu, R, Pan, S, Long, G, Zhu, X, Jiang, J & Zhang, C 2016, 'Co-clustering enterprise social networks', 2016 International Joint Conference on Neural Networks (IJCNN), IEEE, pp. 107-114.
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Huang, S, Xu, Z, Tao, D & Zhang, Y 2016, 'Part-Stacked CNN for Fine-Grained Visual Categorization', 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), IEEE Conference on Computer Vision and Pattern Recognition, IEEE Xplore, Las Vegas, Nevada, pp. 1173-1182.
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Huang, X, Fan, L, Zhang, J, Wu, Q & Yuan, C 2016, 'Real Time Complete Dense Depth Reconstruction for a Monocular Camera', Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), IEEE Conference on Computer Vision and Pattern Recognition, IEEE, Las Vegas, Nevada., pp. 674-679.
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Huang, X, Zhang, J, Wu, Q, Fan, L & Yuan, C 2016, 'A coarse-to-fine algorithm for registration in 3D street-view cross-source point clouds', Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications (DICTA), Digital Image Computing Techniques and Applications, IEEE, Gold coast, Australia..
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Hussain, W, Hussain, FK & Hussain, OK 2016, 'Allocating optimized resources in the cloud by a viable SLA model', 2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016, IEEE International Conference on Fuzzy Systems, IEEE, Vancouver, Canada.
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Hussain, W, Hussain, FK & Hussain, OK 2016, 'QoS prediction methods to avoid SLA violation in post-interaction time phase', 2016 IEEE 11th Conference on Industrial Electronics and Applications (ICIEA), IEEE Conference on Industrial Electronics and Applications, IEEE, Hefei, China, pp. 32-37.
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Hussain, W, Hussain, FK & Omar Hussain 2016, 'SLA Management Framework to Avoid Violation in Cloud', Neural Information Processing (LNCS), International Conference on Neural Information Processing, Springer International Publishing, Kyoto, Japan, pp. 309-316.
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Hussein, F, Awwad, S & Piccardi, M 2016, 'Joint Action Recognition and Summarization by Sub-modular Inference', Proceedings of the 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE International Conference on Acoustics, Speech and Signal Processing, IEEE, Shanghai, China, pp. 2697-2701.
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Ikeda, M, Pop, F & Hussain, F 2016, 'Message from CISIS 2016 Program Co-Chairs', Proceedings - 2016 10th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS 2016, p. xviii.
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Jiang, F, Gan, J, Xu, Y & Xu, G 2016, 'Coupled behavioral analysis for user preference-based email spamming', Proceedings of 2016 International Conference on Behavioral, Economic, Socio - Cultural Computing, International Conference on Behavioral, Economic, Socio - Cultural Computing (BESC), IEEE, Durham, NC, pp. 1-5.
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Kajdanowicz, T, Michalski, R, Musial, K & Kazienko, P 2016, 'Learning in unlabeled networks - An active learning and inference approach', AI COMMUNICATIONS, IOS PRESS, pp. 123-148.
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Kang, G, Li, J & Tao, D 2016, 'Shakeout: A New Regularized Deep Neural Network Training Scheme', Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16), AAAI Conference on Artificial Intelligence, AAAI, Phoenix, USA, pp. 1751-1757.
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Kumar, KD, Reddy, PK, Reddy, PB & Cao, L 2016, 'Improving the performance of collaborative filtering with category-specific neighborhood', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Asian Conference on Intelligent Information and Database Systems (ACIIDS), Springer, Da Nang, Vietnam, pp. 201-210.
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Lei, J, Feng, Z, Song, M & Tao, D 2016, 'Which Face Is More Attractive?', 2016 IEEE International Conference on Image Processing Proceedings, IEEE International Conference on Image Processing, IEEE, Phoenix, Arizona, USA.
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Leong, TW & Johnston, B 2016, 'Co-design and robots: A case study of a robot dog for aging people', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), International Conference on Social Robotics (ICSR), Springer, Kansas City, Missouri, United States, pp. 702-711.
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Li, J, Fong, S, Yuan, M & Wong, RK 2016, 'Adaptive multi-objective swarm crossover optimization for imbalanced data classification', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 374-390.
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Li, Q, Bian, W, Xu, Y, You, J & Tao, D 2016, 'Random Mixed Field Model for Mixed-Attribute Data Restoration', Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, AAAI Conference on Artificial Intelligence, AAAI, Phoenix, Arizona, USA, pp. 1244-1250.
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Li, Q, Qiao, M, Bian, W & Tao, D 2016, 'Conditional graphical Lasso for multi-label image classification', Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, IEEE Conference on Computer Vision and Pattern Recognition, IEEE, Las Vegas, Nevada, United States, pp. 2977-2986.
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Li, W, Yao, J, Dong, T, Li, H & He, X 2015, 'Moving vehicle detection based on an improved interframe difference and a Gaussian model', Proceedings - 2015 8th International Congress on Image and Signal Processing, CISP 2015, International Congress on Image and Signal Processing (CISP), IEEE, Shenyang, China, pp. 969-973.
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Li, Y & Tao, D 2016, 'Online Semi-Supervised Multi-Task Distance Metric Learning', IEEE International Conference on Data Mining Workshops, ICDMW, International Conference on Data Mining Workshops, IEEE, Barcelona, Spain, pp. 474-479.
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Li, Y, Tian, X & Tao, D 2016, 'Regularized large margin distance metric learning', Proceedings - IEEE International Conference on Data Mining, ICDM, International Conference on Data Mining, IEEE, Barcelona, Spain, pp. 1015-1022.
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Liu, B, Chen, L, Liu, C, Zhang, C & Qiu, W 2016, 'Mining co-locations from continuously distributed uncertain spatial data', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics):Web Technologies and Applications 18th Asia-Pacific Web Conference, APWeb 2016, Web Technologies and Applications : Asia-Pacific Web Conference (APWeb), Springer, Suzhou, China, pp. 66-78.
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Liu, C & Chen, L 2016, 'Summarizing Uncertain Transaction Databases by Probabilistic Tiles', Proceedings of the 2016 International Joint Conference on Neural Networks (IJCNN), IEEE International Joint Conference on Neural Networks, IEEE, Vancouver, pp. 4375-4382.
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Liu, L & Tao, D 2016, 'Sublinear dual coordinate ascent for regularized loss minimization', Proceedings - IEEE International Conference on Data Mining, ICDM, IEEE International Conference on Data Mining, IEEE, Barcelona, Spain, pp. 1065-1070.
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Liu, Q, Li, J, Wong, L & Ramamohanarao, K 2016, 'Efficient mining of pan-correlation patterns from time course data', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), International Conference on Advanced Data Mining and Applications, Springer, Gold Coast, Queensland, Australia, pp. 234-249.
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Liu, W 2016, 'Factorization of multiple tensors for supervised feature extraction', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), International Conference on Neural Information Processing, Springer, Kyoto, Japan, pp. 406-414.
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Liu, W, Chen, X, Yang, J & Wu, Q 2016, 'Robust weighted least squares for guided depth upsampling', 2016 IEEE International Conference on Image Processing (ICIP), IEEE International Conference on Image Processing, IEEE, Phoenix, AZ, USA, pp. 559-563.
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Liu, X, Fan, X, Deng, C, Li, Z, Su, H & Tao, D 2016, 'Multilinear hyperplane hashing', Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, IEEE Conference on Computer Vision and Pattern Recognition, IEEE, Las Vegas, Nevada, United States, pp. 5119-5127.
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Lu, Q, Li, X, Dong, Y & Tao, D 2016, 'Subspace clustering by capped l1 norm', Proceedings for Communications in Computer and Information Science (LNCS), Chinese Conference on Pattern Recognition, Springer, Chengdu, China, pp. 663-674.
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Luo, Y, Tao, D, Ramamohanarao, K, Xu, C & Wen, Y 2016, 'Tensor canonical correlation analysis for multi-view dimension reduction', 2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016, IEEE International Conference on Data Engineering, IEEE, Helsinki, Finland, pp. 1460-1461.
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Luo, Y, Wen, Y & Tao, D 2016, 'On combining side information and unlabeled data for heterogeneous multi-task metric learning', Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence (IJCAI-16), International Joint Conference on Artificial Intelligence, AAAI, New York, USA, pp. 1809-1815.
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Luo, Y, Wen, Y, Tao, D & Fu, Q 2016, 'Toward effortless TV-to-Online (T2O) experience: A novel metric learning approach', 2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings, IEEE Global Communications Conference, IEEE, Washington, DC, USA, pp. 1-6.
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Ma, C, Gu, Y, Liu, W, Yang, J & He, X 2016, 'Unsupervised video hashing by exploiting spatio-temporal feature', Neural Information Processing (LNCS), International Conference on Neural Information Processing, Springer, Kyoto, Japan, pp. 511-518.
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Manongdo, R & Xu, G 2016, 'Applying client churn prediction modeling on home-based care services industry', Proceedings of the 2016 International Conference on Behavioral, Economic and Socio-cultural Computing (BESC), International Conference on Behavioral, Economic and Socio-cultural Computing (BESC), IEEE, Durham, USA, pp. 1-6.
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Merigó, JM, Zurita, G & Link-Chaparro, S 2016, 'Normalization of the article influence score between categories', Lecture Notes in Engineering and Computer Science, pp. 182-187.
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Merigó, JM, Zurita, G & Lobos-Ossandón, V 2016, 'Computer science research in artificial intelligence', Lecture Notes in Engineering and Computer Science, pp. 216-220.
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Montgomery, J, Reid, M & Drake, BJ 2015, 'Protocols and Structures for Inference: A RESTful API for Machine Learning', Proceedings of The 2nd International Conference on Predictive APIs and Apps, 2nd International Conference on Predictive APIs and Apps, Journal of Machine Learning Research, Sydney, pp. 29-42.
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Nanda, A, Nanda, P & He, X 2016, 'Geo-Location Oriented Routing Protocol for Smart Dynamic Mesh Network', Proceedings of the 18th IEEE International Conference on High Performance Computing and Communications (HPCC-2016), IEEE International Conference on High Performance Computing and Communications, IEEE, Sydney, Australia.
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Nanda, A, Nanda, P, He, X & Jamdagni, A 2016, 'A Secure Routing Scheme for Wireless Mesh Networks', ICISS 2016: Information Systems Security (LNCS), International Conference on Information Systems Security (ICISS), Springer, Jaipur, India, pp. 393-408.
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Nguyen, H, Liu, W, Rivera, P & Chen, F 2016, 'TrafficWatch: Real-time traffic incident detection and monitoring using social media', 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, Springer, New Zealand, pp. 540-551.
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Ojha, S & Williams, MA 2016, 'Ethically-Guided Emotional Responses for Social Robots: Should I Be Angry?', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), International Conference on Social Robotics (ICSR), SPRINGER-VERLAG BERLIN, Kansas City, USA.
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Pan, S, Wu, J, Zhu, X, Zhang, C & Wang, Y 2016, 'Tri-party deep network representation', IJCAI International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence, AAAI Press / International Joint Conferences on Artificial Intelligence, New York City, New York, United States, pp. 1895-1901.
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Pan, S, Wu, J, Zhu, X, Zhang, C & Yu, PS 2016, 'Joint Structure Feature Exploration and Regularization for Multi-Task Graph Classification', IEEE 32nd International Conference on Data Engineering, IEEE, Helsinki, Finland, pp. 1474-1475.
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Pang, G, Cao, L & Chen, L 2016, 'Outlier detection in complex categorical data by modelling the feature value couplings', Proceedings of the 25th International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence (IJCAI), AAAI Press, New York.
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Pang, G, Cao, L, Chen, L & Liu, H 2016, 'Unsupervised Feature Selection for Outlier Detection by Modelling Hierarchical Value-Feature Couplings', Proceedings - IEEE International Conference on Data Mining, ICDM, IEEE International Conference on Data Mining, IEEE, Barcelona.
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Peng, F, Lu, X, Lu, J, Xu, RYD, Luo, C, Ma, C & Yang, J 2016, 'Metricrec: Metric learning for cold-start recommendations', Advanced Data Mining and Applications (LNAI), International Conference on Advanced Data Mining and Applications, Springer, Gold Coast, QLD, Australia, pp. 445-458.
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Peppas, P & Williams, MA 2016, 'Kinetic consistency and relevance in belief revision', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Logics in Artificial Intelligence, European Conference, Springer, Larnaca, Cyprus, pp. 401-414.
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Poostchi, H, Zare Borzeshi, E, Abdous, M & Piccardi, M 2016, 'PersoNER: Persian Named-Entity Recognition', Website Proceedings of the 26th International Conference on Computational Linguistics, International Conference on Computational Linguistics, COLING, Osaka, Japan.
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Qiao, M, Bian, W, Da Xu, RY & Tao, D 2016, 'Diversified Hidden Markov Models for Sequential Labeling', 2016 32ND IEEE INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE), 32nd IEEE International Conference on Data Engineering (ICDE), IEEE, Helsinki, FINLAND, pp. 1512-+.
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Qin, Z, Wu, J, Hong, Y, Tian, Y & Chengqi, Z 2016, 'Unsupervised feature learning from time series', IJCAI International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence, AAAI Press / International Joint Conferences on Artificial Intelligence, Palo Alto, California, United States, pp. 2322-2328.
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Qu, B, Li, X, Tao, D & Lu, X 2016, 'Deep semantic understanding of high resolution remote sensing image', Proceedings of the 2016 International Conference on Computer, Information and Telecommunication Systems, International Conference on Computer, Information and Telecommunication Systems CITS, IEEE, Kunming, China, pp. 1-4.
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Rashidi, L, Kan, A, Bailey, J, Chan, J, Leckie, C, Liu, W, Rajasegarar, S & Ramamohanarao, K 2016, 'Node re-ordering as a means of anomaly detection in time-evolving graphs', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Joint European Conference on Machine Learning and Knowledge Discovery in Databases, Springer, Riva del Garda, Italy, pp. 162-178.
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Raza, SA, Clark, J & Williams, M-A 2016, 'On Designing Socially Acceptable Reward Shaping', International Conference on Social Robotics, Springer, Cham, pp. 860-869.
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Raza, SA, Johnston, B & Williams, M-A 2016, 'Reward from Demonstration in Interactive Reinforcement Learning', The Twenty-Ninth International Flairs Conference.
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Romat, H, Williams, M-A, Wang, X, Johnston, B, Bard, H & ACM 2016, 'Natural Human-Robot Interaction Using Social Cues', Proceedings of the 11th ACM/IEEE International Conference on Human Robot Interaction, ACM/IEEE International Conference on Human Robot Interaction (HRI), IEEE, Christchurch, New Zealand, pp. 503-504.
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Scheirer, WJ, Flynn, PJ, Ding, CX, Guo, G, Struc, V, Al Jazaery, M, Grm, K, Dobrisek, S, Tao, D, Zhu, Y, Brogan, J, Banerjee, S, Bharati, A & Webster, B 2016, 'Report on the BTAS 2016 Video Person Recognition Evaluation', Proceedings of the IEEE International Conference on Biometrics Theory, Applications and Systems (BTAS), IEEE International Conference on Biometrics - Theory, Applications and Systems (BTAS), IEEE, Buffalo, New York, pp. 1-8.
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Shao, J, Meng, X & Cao, L 2016, 'Mining Actionable Combined High Utility Incremental and Associated Patterns', 2016 IEEE/CSAA International Conference on Aircraft Utility Systems (AUS), IEEE/CSAA International Conference on Aircraft Utility Systems, IEEE, Beijing,China, pp. 1164-1169.
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Shen, X, Tian, X, He, A, Sun, S & Tao, D 2016, 'Transform-invariant convolutional neural networks for image classification and search', Proceedings of the 2016 ACM on Multimedia Conference, ACM International Conference on Multimedia, ACM, Amsterdam, The Netherlands, pp. 1345-1354.
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Song, D, Meyer, DA & Tao, D 2016, 'Top-k link recommendation in social networks', Proceedings - IEEE International Conference on Data Mining, ICDM, IEEE International Conference on Data Mining, IEEE, Atlantic City, New Jersey, pp. 389-398.
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Song, K, Chen, L, Gao, W, Feng, S, Wang, D & Zhang, C 2016, 'PerSentiment: A Personalized Sentiment Classi cation System for Microblog Users', International World Wide Web Conference (WWW), Montreal.

Song, K, Gao, W, Chen, L, Feng, S, Wang, D & Zhang, C 2016, 'Build Emotion Lexicon from the Mood of Crowd via Topic-Assisted Joint Non-negative Matrix Factorization', ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Pisa, Italy.

Sun, H, Li, J, Du, B & Tao, D 2016, 'On combining compressed sensing and sparse representations for object tracking', Advances in Multimedia Information Processing - PCM 2016 (LNCS), Pacific-Rim Conference on Multimedia (PCM), Springer, Xi´ an, China, pp. 32-43.
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Tao, D, Hou, C & Nie, F 2016, 'Discriminative vanishing component analysis', Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16), AAAI Conference on Artificial Intelligence, AAAI, Arizona, United States, pp. 1666-1672.
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Tao, D, Lan, L, Gong, C, Guan, N & Luo, Z 2016, 'Online multi-object tracking by quadratic pseudo-boolean optimization', IJCAI International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence, AAAI Press / International Joint Conferences on Artificial Intelligence, New York.
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Tao, D, Yu, B & Fang, M 2016, 'Linear Submodular Bandits with a Knapsack Constraint', 30th AAAI Conference on Artificial Intelligence, AAAI 2016, AAAI Conference on Artificial Intelligence, AAAI, Phoenix, Arizona, pp. 1380-1386.
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Tao, D, yu, X & bian, W 2016, 'Scalable completion of nonnegative matrices with the separable structure', 30th AAAI Conference on Artificial Intelligence, AAAI 2016, AAAI Conference on Artificial Intelligence, AAAI Press, Pheonix, Arizona, United States of America, pp. 2279-2285.
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Usman, M, Jan, M, He, XS & Nanda, P 2016, 'Data Sharing in Secure Multimedia Wireless Sensor Networks', Porcoeedings of the 15th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (2016 IEEE Trustcom/BigDataSE/I​SPA), IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), IEEE, Tianjin, China.
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Venkata, SK, Keppens, J & Musial, K 2016, 'Agent based simulation to evaluate adaptive caching in distributed databases', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 455-462.
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Vitale, J, Williams, M-A & Johnston, B 2016, 'The face-space duality hypothesis: a computational model', Proceedings of the 38th Annual Conference of the Cognitive Science Society, Annual Conference of the Cognitive Science Society, Cognitive Science Society, Philadelphia, pp. 514-519.
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Wang, D, Deng, S & Xu, G 2016, 'GEMRec: A graph-based emotion-aware music recommendation approach', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), International Conference on Web Information Systems Engineering, Springer, Shanghai, China, pp. 92-106.
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Wang, D, Deng, S, Liu, S & Xu, G 2016, 'Improving Music Recommendation Using Distributed Representation', Proceedings of the 25th International Conference Companion on World Wide Web, World Wide Web Conference, ACM, Montreal, Canada, pp. 125-126.
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Wang, D, Deng, S, Zhang, X & Xu, G 2016, 'Learning music embedding with metadata for context aware recommendation', Proceedings of the 2016 ACM International Conference on Multimedia Retrieval, ACM International Conference on Multimedia Retrieval, ACM, New York, USA, pp. 249-253.
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Wang, J, Wang, Z, Tao, D, See, S & Wang, G 2016, 'Learning common and specific features for RGB-D semantic segmentation with deconvolutional networks', Computer Vision – ECCV 2016 (LNCS), European Conference on Computer Vision, Springer, Amsterdam, The Netherlands, pp. 664-679.
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Wang, S, Liu, W, Wu, J, Cao, L, Meng, Q & Kennedy, PJ 2016, 'Training deep neural networks on imbalanced data sets', Proceedings of the International Joint Conference on Neural Networks, IEEE International Joint Conference on Neural Networks, IEEE, Vancouver, Canada, pp. 4368-4374.
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Wang, W, Yin, H, Sadiq, S, Chen, L, Xie, M & Zhou, X 2016, 'SPORE: A Sequential Personalized Spatial Item Recommender System', Proceedings of the 2016 IEEE 32nd International Conference on Data Engineering (ICDE), IEEE International Conference on Data Engineering, IEEE, Helsinki, pp. 954-965.
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Wang, Z & Piccardi, M 2016, 'A Pair Hidden Markov Support Vector Machine for Alignment of Human Actions', Proceedings of the 2016 IEEE International Conference on Multimedia and Expo (ICME), IEEE International Conference on Multimedia and Expo, IEEE, Seattle, WA, USA.
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Wang, Z, Du, B, Zhang, L, Zhang, L, Fang, M & Tao, D 2016, 'Multi-label active learning based on maximum correntropy criterion: Towards robust and discriminative labeling', Proceedings of the Computer Vision – ECCV 2016 (LNCS), European Conference on Computer Vision, Springer, Amsterdam, The Netherlands, pp. 453-468.
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Williams, MA 2016, 'Decision-theoretic human-robot interaction: Designing reasonable and rational robot behavior', Social Robotics (LNCS), International Conference on Social Robotics (ICSR), Springer, Kansas City, USA, pp. 72-82.
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Wu, D, Hussain, F, Zhang, G, Lu, J, Unwin, J & Rance, G 2016, 'A cloud-based comprehensive health information system framework', Uncertainty Modelling in Knowledge Engineering and Decision Making - Proceedings of the 12th International FLINS Conference, FLINS 2016, pp. 612-617.
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Wu, S, Jing, XY, Yue, D, Zhang, J, Yang, KJ & Yang, J 2016, 'Unsupervised visual domain adaptation via dictionary evolution', Proceedings - IEEE International Conference on Multimedia and Expo, IEEE International Conference on Multimedia and Expo, IEEE, Seattle, Washington, United States.
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Wu, W, Li, B, Chen, L & Zhang, C 2016, 'Canonical Consistent Weighted Sampling for Real-Value Weighted Min-Hash', Proceedings of the 2016 IEEE 16th International Conference on Data Mining, IEEE International Conference on Data Mining, IEEE, Barcelona, Spain, pp. 1287-1292.
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Wu, W, Li, B, Chen, L & Zhang, C 2016, 'Cross-view feature hashing for image retrieval', 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, Springer, Auckland, New Zealand, pp. 203-214.
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Xie, J, Wang, M, Zhou, Y & Li, J 2016, 'Coordinating discernibility and independence scores of variables in a 2D space for efficient and accurate feature selection', 12th Intelligent Computing Methodologies Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Intelligent Computing Methodologies (ICIC), Springer, Lanzhou, China, pp. 116-127.
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Xie, L, Tao, D & Wei, H 2016, 'Multi-view exclusive unsupervised dimension reduction for video-based facial expression recognition', Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence (IJCAI-16), International Joint Conference on Artificial Intelligence, AAAI, New York, USA, pp. 2217-2223.
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Xiong, H, Liu, T & Tao, D 2016, 'Diversified dynamical Gaussian process latent variable model for video repair', 30th AAAI Conference on Artificial Intelligence, AAAI 2016, AAAI Conference on Artificial Intelligence, AAAI, Phoenix, Arizona, pp. 3641-3647.
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Xiong, W, Du, B, Zhang, L, Hu, R & Tao, D 2016, 'Regularizing deep convolutional neural networks with a structured decorrelation constraint', Proceedings - IEEE International Conference on Data Mining, ICDM, International Conference on Data Mining, IEEE, Barcelona, Spain, pp. 519-528.
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Xiong, W, Du, B, Zhang, L, Hu, R, Bian, W, Shen, J & Tao, D 2015, 'R2FP: Rich and robust feature pooling for mining visual data', Proceedings - IEEE International Conference on Data Mining, ICDM, IEEE International Conference on Data Mining, IEEE, Atlantic City, NJ, pp. 469-478.
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Xiong, W, Du, B, Zhang, L, Zhang, L & Tao, D 2016, 'Denoising Auto-Encoders toward Robust Unsupervised Feature Representation', 2016 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), International Joint Conference on Neural Networks (IJCNN), IEEE, Vancouver, CANADA, pp. 4721-4728.

Xu, C, Tao, D & Xu, C 2016, 'Robust extreme multi-label learning', Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, ACM International Conference on Knowledge Discovery and Data Mining, ACM, San Francisco, California, pp. 1275-1284.
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Xu, Z, Huang, S, Zhang, Y & Tao, D 2015, 'Augmenting strong supervision using web data for fine-grained categorization', Proceedings of the IEEE International Conference on Computer Vision, IEEE International Conference on Computer Vision, IEEE, Santiago, Chile, pp. 2524-2532.
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Xun, Y, Meng, W, Luming, Z & Tao, D 2016, 'Empirical risk minimization for metric learning using privileged information', Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence, AAAI, New York, USA, pp. 2266-2272.
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Yang, D, Wu, Z, Wang, X, Cao, J & Xu, G 2016, 'Predicting replacement of smartphones with mobile app usage', Web Information Systems Engineering – WISE 2016 (LNCS), International Conference on Web Information Systems Engineering, Springer, Shanghai, China, pp. 343-351.
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Yao, Y, Hua, XS, Shen, F, Zhang, J & Tang, Z 2016, 'A domain robust approach for image dataset construction', MM 2016 - Proceedings of the 2016 ACM Multimedia Conference, ACM International Conference on Multimedia, ACM, Amsterdam, The Netherlands, pp. 212-216.
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Yao, Y, Zhang, J, Hua, XS, Shen, F & Tang, Z 2016, 'Extracting visual knowledge from the internet: Making sense of image data', MultiMedia Modeling (LNCS), International Conference on Multimedia Modeling, Springer, Miami, USA, pp. 862-873.
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Yao, Y, Zhang, J, Shen, F, Hua, X, Xu, J & Tang, Z 2016, 'Automatic image dataset construction with multiple textual metadata', Proceedings - IEEE International Conference on Multimedia and Expo, IEEE International Conference on Multimedia and Expo, IEEE, Seattle, Washington, USA.
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Ye, L, Cao, K, Guo, J, Huang, X, Beadle, P, Argha, A, Piccardi, M, Zhang, G & Su, SW 2016, 'Inertial sensor based post fall analysis for false alarming reduction', Telehealth and Assistive Technology / 847: Intelligent Systems and Robotics, IASTED Telehealth and Assistive Technology, Acta Press, Zurich, Switzerland, pp. 36-43.
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Yu, B, Fang, M, Tao, D & Yin, J 2016, 'Submodular asymmetric feature selection in cascade object detection', Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16), AAAI Conference on Artificial Intelligence, AAAI, Phoenix, USA, pp. 1387-1393.
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Yu, D & Tao, DC 2015, 'Frontier of Business Management Challenge in the Dynamics of Big Data', 5th Organizations, Artifacts and Practices (OAP) Workshop, Sydney, Australia.
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Yu, S, Zhang, T, Ma, C, Zhou, L, Yang, J & He, X 2016, 'Learning a discriminative dictionary with CNN for image classification', Neural Information Processing (LNCS) Proceedings, Part II, International Conference on Neural Information Processing, Springer, Kyoto, Japan, pp. 185-194.
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Zhang, B, Wang, Z, Tao, D, Hua, XS & Feng, DD 2015, 'Automatic Preview Frame Selection for Online Videos', Proceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2015, Digital Image Computing Techniques and Applications, IEEE, Adelaide, Australia, pp. 1-6.
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Zhang, D, Yin, J, Zhu, X & Zhang, C 2016, 'Collective Classification via Discriminative Matrix Factorization on Sparsely Labeled Networks', CIKM '16 Proceedings of the 25th ACM International on Conference on Information and Knowledge Management, ACM International Conference on Information and Knowledge Management, ACM, Indianapolis, Indiana, USA, pp. 1563-1572.
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Zhang, D, Yin, J, Zhu, X & Zhang, C 2016, 'Homophily, Structure, and Content Augmented Network Representation Learning', Proceedings of the IEEE 16th International Conference on Data Mining, IEEE International Conference on Data Mining, IEEE, Barcelona, Spain, pp. 609-618.
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Zhang, G & Piccardi, M 2016, 'Sequential labeling with structural SVM under an average precision loss', Structural, Syntactic, and Statistical Pattern Recognition, Joint IAPR International Workshop on Structural and Syntactic Pattern Recognition (SSPR) / International Workshop on Statistical Techniques in Pattern Recognition (SPR), Springer, Mérida, Mexico, pp. 344-354.
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Zhang, J, Zhang, J, Lu, J, Shen, C, Curr, K, Phua, R, Neville, R & Edmonds, E 2016, 'SLNSW-UTS: A Historical Image Dataset for Image Multi-Labeling and Retrieval', 2016 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2016, Digital Image Computing Techniques and Applications, IEEE, Gold Coast, Australia, pp. 1-6.
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Zhang, Q, Wu, J, Yang, H, Lu, W, Long, G & Zhang, C 2016, 'Global and local influence-based social recommendation', International Conference on Information and Knowledge Management, Proceedings, ACM International Conference on Information and Knowledge Management, ACM, Indianapolis, USA, pp. 1917-1920.
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Zhang, Q, Wu, J, Zhang, P, Long, G, Tsang, IW & Zhang, C 2016, 'Inferring latent network from cascade data for dynamic social recommendation', Proceedings - IEEE International Conference on Data Mining, ICDM, IEEE International Conference on Data Mining, IEEE, Barcelona, Spain, pp. 669-678.
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Zhang, Q, Zhang, L, Du, B, Zheng, W, Bian, W & Tao, D 2015, 'MMFE: Multitask multiview feature embedding', Proceedings - IEEE International Conference on Data Mining, ICDM, IEEE International Conference on Data Mining, IEEE, Atlantic City, NJ, pp. 1105-1110.
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Zhang, Q, Zhang, P, Long, G, Ding, W, Zhang, C & Wu, X 2015, 'Towards mining trapezoidal data streams', Proceedings - IEEE International Conference on Data Mining, ICDM, IEEE International Conference on Data Mining, IEEE, Atlantic City, New Jersey, United States, pp. 1111-1116.
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Zhang, Q, Zhang, Q, Long, G, Zhang, P & Zhang, C 2016, 'Exploring heterogeneous product networks for discovering collective marketing hyping behavior', Advances in Knowledge Discovery and Data Mining - LNCS, Pacific-Asia Conference on Knowledge Discovery and Data Mining, Springer, Auckland, New Zealand, pp. 40-51.
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Zhao, N, Zhang, L, Du, B, Zhang, L, Tao, D & You, J 2016, 'Sparse tensor discriminative locality alignment for gait recognition', Proceedings of the International Joint Conference on Neural Networks, IEEE International Joint Conference on Neural Networks, IEEE, Vancouver, Canada, pp. 4489-4495.
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Zhao, Y, Di, H, Zhang, J, Lu, Y & Lv, F 2016, 'Recognizing human actions from low-resolution videos by region-based mixture models', Proceedings - IEEE International Conference on Multimedia and Expo, IEEE International Conference on Multimedia and Expo, IEEE, Seattle, Washington, United States.
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Zhao, Y, He, X & Chen, B 2016, 'Virtual samples construction using image-block-stretching for face recognition', Databases Theory and Applications: Lecture Notes in Computer Science, Australasian Database Conference, Springer, Sydney, NSW, pp. 346-354.
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Zhao, Y, You, X, Wei, Y, Yin, S, Tao, D & Cheung, YM 2016, 'Multi-view latent space learning based on local discriminant embedding', Proceedings - 2016 7th International Conference on Cloud Computing and Big Data, CCBD 2016, International Conference on Cloud Computing and Big Data, IEEE, Macau, China, pp. 225-230.
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Zheng, Y, Lan, C, Peng, H & Li, J 2016, 'Using Constrained Information Entropy to Detect Rare Adverse Drug Reactions from Medical Forums', 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), International Conference of the IEEE Engineering in Medicine and Biology Society, IEEE, IEEE, pp. 2460-2463.
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Zhou, T, Lu, Y, Di, H & Zhang, J 2016, 'Video object segmentation aggregation', Proceedings - IEEE International Conference on Multimedia and Expo (ICME) 2016, IEEE International Conference on Multimedia and Expo, IEEE, Seattle.
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Zhou, Z, Li, K, He, XS & L, M 2016, 'A Generative Model for Recognizing Mixed Group Activities in Still Images', Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence, AAAI Press, New York, United States, pp. 3654-3660.
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Zhu, X & Xu, G 2016, 'Applying Visual Analytics on Traditional Data Mining Process: Quick Prototype, Simple Expertise Transformation, and Better Interpretation', Proceedings - 4th International Conference on Enterprise Systems: Advances in Enterprise Systems, ES 2016, International Conference on Enterprise Systems: Advances in Enterprise Systems, IEEE, Melbourne, Australia, pp. 208-213.
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Zuo, Y, Wu, Q, An, P & Zhang, J 2016, 'Explicit measurement on depth-color inconsistency for depth completion', Proceedings of the 2016 IEEE International Conference on Image Processing (ICIP), IEEE International Conference on Image Processing, IEEE, Phoenix, AZ, USA, pp. 4037-4041.
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Zuo, Y, Wu, Q, Zhang, J & An, P 2016, 'Explicit modeling on depth-color inconsistency for color-guided depth up-sampling', Proceedings - IEEE International Conference on Multimedia and Expo, IEEE International Conference on Multimedia and Expo, IEEE, USA.
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Zurita, G, Merigó, JM & Lobos-Ossandón, V 2016, 'A bibliometric analysis of journals in educational research', Lecture Notes in Engineering and Computer Science, pp. 403-408.
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Other

Aliyev, N & He, X 2016, 'Toward a general model of financial markets', SSRN.

Aliyev, N & He, X-Z 2016, 'Toward a General Model of Financial Markets'.
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Arifovic, J, Chiarella, C, He, X & Wei, L 2016, 'High Frequency Trading and Learning'.

Chiarella, C, Arifovic, J, He, X & Wei, L 2016, 'High frequency trading and learning', SSRN.