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Publications

Books

Cao, L, Lee, JG & Lin, X 2017, PC chairs’ preface.

Demazeau, Y, Gao, J, Xu, G, Kozlak, J, Müller, K, Razzak, I, Chen, H & Gu, Y 2017, Proceedings of 2017 International Conference on Behavioral, Economic, Socio-cultural Computing.
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Diesner, J, Ferrari, E & Xu, G 2017, Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017.
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Chapters

Merigó, JM, Gil-Lafuente, AM & Kacprzyk, J 2017, 'A bibliometric analysis of the publications of ronald r. Yager' in Granular, Soft and Fuzzy Approaches for Intelligent Systems, Springer, Germany, pp. 233-248.
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Stoianoff, N 2017, 'A Governance Framework for Indigenous Ecological Knowledge Protection and Use' in Levy, R, O'Brien, M, Rice, S, Ridge, P & Thornton, M (eds), New Directions for Law in Australia Essays In Contemporary Law Reform, ANU Press, Canberra, pp. 231-241.
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Stoianoff, NP, Cahill, A & Wright, EA 2017, 'Indigenous knowledge: what are the issues?' in Stoianoff, NP (ed), Indigenous Knowledge Forum: Comparative Systems for Recognising and Protecting Indigenous Knowledge and Culture, LexisNexis, pp. 11-37.
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Wright, EA, Cahill, A & Stoianoff, NP 2017, 'Australia and Indigenous traditional knowledge' in Stoianoff, NP (ed), Indigenous Knowledge Forum: Comparative Systems for Recognising and Protecting Indigenous Knowledge and Culture, LexisNexis, pp. 39-68.
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Journal articles

Anderson, C & Ryan, LM 2017, 'A Comparison of Spatio-Temporal Disease Mapping Approaches Including an Application to Ischaemic Heart Disease in New South Wales, Australia.', International Journal of Environmental Research and Public Health, vol. 14, no. 2.
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Avilés-Ochoa, E, Perez-Arellano, LA, León-Castro, E & Merigó, JM 2017, 'Prioritized induced probabilistic distances in transparency and access to information laws', Fuzzy Economic Review, vol. 22, no. 1, pp. 45-55.
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Awwad, S & Piccardi, M 2017, 'Prototype-based budget maintenance for tracking in depth videos', Multimedia Tools and Applications, vol. 76, no. 20, pp. 21117-21132.
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Bakirov, R, Gabrys, B & Fay, D 2017, 'Multiple adaptive mechanisms for data-driven soft sensors', COMPUTERS & CHEMICAL ENGINEERING, vol. 96, pp. 42-54.
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Blanco-Mesa, F & Merigó, JM 2017, 'Bonferroni distances with hybrid weighted distance and immediate weighted distance', Fuzzy Economic Review, vol. 22, no. 2, pp. 29-43.
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Blanco-Mesa, F, Merigo, JM & Gil-Lafuente, AM 2017, 'Fuzzy decision making: A bibliometric-based review', JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, vol. 32, no. 3, pp. 2033-2050.
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Cancino, C, Merigo, JM, Coronado, F, Dessouky, Y & Dessouky, M 2017, 'Forty years of computers and industrial engineering: A bibliometric analysis', Computers and Industrial Engineering, vol. 113, pp. 614-629.
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Cancino, C, Merigó, JM, Coronado, F, Dessouky, Y & Dessouky, M 2017, 'Forty years of Computers & Industrial Engineering: A bibliometric analysis', Computers and Industrial Engineering, vol. 113, pp. 614-629.
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Cancino, CA, Merigó, JM & Coronado, FC 2017, 'Big names in innovation research: A bibliometric overview', Current Science, vol. 113, no. 8, pp. 1507-1518.
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Cao, L 2017, 'Data science: A comprehensive overview', ACM Computing Surveys, vol. 50, no. 3.
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Cao, L 2017, 'Data science: Challenges and directions', Communications of the ACM, vol. 60, no. 8, pp. 59-68.
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Chen, Q, Lan, C, Chen, B, Wang, L, Li, J & Zhang, C 2017, 'Exploring Consensus RNA Substructural Patterns Using Subgraph Mining', IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, vol. 14, no. 5, pp. 1134-1146.
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Chen, Q, Wang, Y, Chen, B, Zhang, C, Wang, L & Li, J 2017, 'Using propensity scores to predict the kinases of unannotated phosphopeptides', KNOWLEDGE-BASED SYSTEMS, vol. 135, pp. 60-76.
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Chen, Y, Yue, X, Xu, RYD & Fujita, H 2017, 'Region scalable active contour model with global constraint', Knowledge-Based Systems, vol. 120, pp. 57-73.
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Chen, Z, You, X, Zhong, B, Li, J & Tao, D 2017, 'Dynamically Modulated Mask Sparse Tracking', IEEE Transactions on Cybernetics, vol. 47, no. 11, pp. 3706-3718.
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Cheng, H, Zhang, J, Wu, Q, An, P & Liu, Z 2017, 'Stereoscopic visual saliency prediction based on stereo contrast and stereo focus', EURASIP Journal on Image and Video Processing.
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Cheng, J, Tao, D, Wong, DWK & Liu, J 2017, 'Quadratic divergence regularized SVM for optic disc segmentation', BIOMEDICAL OPTICS EXPRESS, vol. 8, no. 5, pp. 2687-2696.
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Cheng, J, Zhang, Z, Tao, D, Wong, DWK, Liu, J, Baskaran, M, Aung, T & Wong, TY 2017, 'Similarity regularized sparse group lasso for cup to disc ratio computation', Biomedical Optics Express, vol. 8, no. 8, pp. 3763-3777.
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Chiarella, C, He, XZ, Shi, L & Wei, L 2017, 'A behavioural model of investor sentiment in limit order markets', Quantitative Finance, vol. 17, no. 1, pp. 71-86.
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De Meo, P, Musial-Gabrys, K, Rosaci, D, Sarne, GML & Aroyo, L 2017, 'Using Centrality Measures to Predict Helpfulness-Based Reputation in Trust Networks', ACM TRANSACTIONS ON INTERNET TECHNOLOGY, vol. 17, no. 1.
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Deng, S, Huang, L, Xu, G, Wu, X & Wu, Z 2017, 'On Deep Learning for Trust-Aware Recommendations in Social Networks', IEEE Transactions on Neural Networks and Learning Systems, vol. 28, no. 5, pp. 1164-1177.
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Ding, C & Tao, D 2017, 'Pose-invariant face recognition with homography-based normalization', Pattern Recognition, vol. 66, pp. 144-152.
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Dong, Y, Du, B, Zhang, L, Zhang, L & Tao, D 2017, 'LAM3L: Locally adaptive maximum margin metric learning for visual data classification', Neurocomputing, vol. 235, pp. 1-9.
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Du, B, Wang, Z, Zhang, L, Zhang, L & Tao, D 2017, 'Robust and Discriminative Labeling for Multi-Label Active Learning Based on Maximum Correntropy Criterion', IEEE Transactions on Image Processing, vol. 26, no. 4, pp. 1694-1707.
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Du, B, Wang, Z, Zhang, L, Zhang, L, Liu, W, Shen, J & Tao, D 2017, 'Exploring Representativeness and Informativeness for Active Learning', IEEE Transactions on Cybernetics, vol. 47, no. 1, pp. 14-26.
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Du, B, Xiong, W, Wu, J, Zhang, L, Zhang, L & Tao, D 2017, 'Stacked Convolutional Denoising Auto-Encoders for Feature Representation', IEEE Transactions on Cybernetics, vol. 47, no. 4, pp. 1017-1027.
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Du, B, Zhang, M, Zhang, L, Hu, R & Tao, D 2017, 'PLTD: Patch-Based Low-Rank Tensor Decomposition for Hyperspectral Images', IEEE Transactions on Multimedia, vol. 19, no. 1, pp. 67-79.
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Edwards, D, Cheng, M, Wong, A, Zhang, J & Wu, Q 2017, 'Ambassadors of Knowledge Sharing: Co-produced Travel Information Through Tourist-Local Social Media Exchange', International Journal of Contemporary Hospitality Management, vol. 29, no. 2, pp. 690-708.
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Fan, X, Xu, RYD, Cao, L & Song, Y 2017, 'Learning Nonparametric Relational Models by Conjugately Incorporating Node Information in a Network', IEEE Transactions on Cybernetics, vol. 47, no. 3, pp. 589-599.
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Fang, M, Yin, J, Hall, LO & Tao, D 2017, 'Active Multitask Learning With Trace Norm Regularization Based on Excess Risk', IEEE Transactions on Cybernetics, vol. 47, no. 11, pp. 3906-3915.
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Ge, XJ, Livesey, P, Wang, J, Huang, SD, He, X & Zhang, CQ 2017, 'Deconstruction waste management through 3D reconstruction and BIM: a case study', Visualization in Engineering, vol. 5, no. 1.
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Ghosh, S, Li, J, Cao, L & Ramamohanarao, K 2017, 'Septic shock prediction for ICU patients via coupled HMM walking on sequential contrast patterns.', Journal of Biomedical Informatics, vol. 66, pp. 19-31.
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Gill, AQ, Braytee, A & Hussain, FK 2017, 'Adaptive service e-contract information management reference architecture', VINE Journal of Information and Knowledge Management Systems, vol. 47, no. 3, pp. 395-410.
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Gong, C, Tao, D, Liu, W, Liu, L & Yang, J 2017, 'Label Propagation via Teaching-to-Learn and Learning-to-Teach.', IEEE Transactions on Neural Networks and Learning Systems, vol. 28, no. 6, pp. 1452-1465.
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Gong, D, Li, Z, Huang, W, Li, X & Tao, D 2017, 'Heterogeneous Face Recognition: A Common Encoding Feature Discriminant Approach', IEEE Transactions on Image Processing, vol. 26, no. 5, pp. 2079-2089.
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Goodswen, SJ, Kennedy, PJ & Ellis, JT 2017, 'On the application of reverse vaccinology to parasitic diseases: a perspective on feature selection and ranking of vaccine candidates.', International journal for parasitology, vol. 47, no. 12, pp. 779-790.
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Guan, H, Liu, T, Jiang, J, Tao, D, Zhang, J, Niu, H, Zhu, W, Wang, Y, Cheng, J, Kochan, NA, Brodaty, H, Sachdev, P & Wen, W 2017, 'Classifying MCI Subtypes in Community-Dwelling Elderly Using Cross-Sectional and Longitudinal MRI-Based Biomarkers', FRONTIERS IN AGING NEUROSCIENCE, vol. 9.
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Gui, J, Sun, Z, Ji, S, Tao, D & Tan, T 2017, 'Feature selection based on structured sparsity: a comprehensive study', IEEE Transactions on Neural Networks and Learning Systems, vol. 28, no. 7, pp. 1490-1507.
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Guo, D, Xu, J, Zhang, J, Xu, M, Cui, Y & He, X 2017, 'User relationship strength modeling for friend recommendation on Instagram', Neurocomputing, vol. 239, pp. 9-18.
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Guo, K, Xu, X & Tao, D 2017, 'Discriminative GoDec+ for Classification', IEEE Transactions on Signal Processing, vol. 65, no. 13, pp. 3414-3429.
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Guo, T, Wu, J, Zhu, X & Zhang, C 2017, 'Combining structured node content and topology information for networked graph clustering', ACM Transactions on Knowledge Discovery from Data, vol. 11, no. 3.
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Hasan, MAM, Li, J, Ahmad, S & Molla, MKI 2017, 'predCar-site: Carbonylation sites prediction in proteins using support vector machine with resolving data imbalanced issue.', Analytical biochemistry, vol. 525, pp. 107-113.
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He, X & Shi, L 2017, 'Index Portfolio and Welfare Analysis Under Heterogeneous Beliefs', Journal of Banking and Finance, vol. 75, pp. 64-79.
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He, X & Treich, N 2017, 'Prediction market prices under risk aversion and heterogeneous beliefs', Journal of Mathematical Economics, vol. 70, pp. 105-114.
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He, X, Wu, Y, Yu, D & Merigó, JM 2017, 'Exploring the Ordered Weighted Averaging Operator Knowledge Domain: A Bibliometric Analysis', International Journal of Intelligent Systems, vol. 32, no. 11, pp. 1151-1166.
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He, XZ & Li, Y 2017, 'The Adaptiveness in Stock Markets: Testing the Stylized Facts in the DAX 30', Journal of Evolutionary Economics, vol. 27, no. 5, pp. 1071-1094.
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He, XZ, Lütkebohmert, E & Xiao, Y 2017, 'Rollover Risk and Credit Risk under Time-varying Margin', Quantitative Finance, vol. 17, no. 3, pp. 455-469.
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Hou, S, Chen, L, Tao, D, Zhou, S, Liu, W & Zheng, Y 2017, 'Multi-layer multi-view topic model for classifying advertising video', Pattern Recognition, vol. 68, pp. 66-81.
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Houssami, N, Lee, CI, Buist, DSM & Tao, D 2017, 'Artificial intelligence for breast cancer screening: Opportunity or hype?', BREAST, vol. 36, pp. 31-33.
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Hu, L, Cao, L, Cao, J, Gu, Z, Xu, G & Wang, J 2017, 'Improving the Quality of Recommendations for Users and Items in the Tail of Distribution', ACM Transactions on Information Systems, vol. 35, no. 3.
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Hu, S-S, Chen, P, Wang, B & Li, J 2017, 'Protein binding hot spots prediction from sequence only by a new ensemble learning method.', Amino Acids, vol. 49, no. 10, pp. 1773-1785.
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Hu, W, Tao, D, Zhang, W, Xie, Y & Yang, Y 2017, 'The Twist Tensor Nuclear Norm for Video Completion', IEEE Transactions on Neural Networks and Learning Systems.
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Hu, W, Yan, L, Wang, H, Du, B & Tao, D 2017, 'Real-time traffic jams prediction inspired by Biham, Middleton and Levine (BML) model', Information Sciences, vol. 381, pp. 209-228.
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Huang, S, Zhang, J, Schonfeld, D, Wang, L & Hua, XS 2017, 'Two-Stage Friend Recommendation Based on Network Alignment and Series Expansion of Probabilistic Topic Model', IEEE Transactions on Multimedia, vol. 19, no. 6, pp. 1314-1326.
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Huang, X, Zhang, J, Fan, L, Wu, Q & Yuan, C 2017, 'A Systematic Approach for Cross-Source Point Cloud Registration by Preserving Macro and Micro Structures.', IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, vol. 26, no. 7, pp. 3261-3276.
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Hussain, W, Hussain, F, Hussain, O, Damiani, E & Chang, E 2017, 'Formulating and managing viable SLAs in Cloud Computing from a small to medium service provider's viewpoint: A state-of-the-art review', Information Systems, vol. 71, pp. 240-259.
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Hussain, W, Hussain, OK, Hussain, FK & Khan MQ 2017, 'Usability Evaluation of English, Local and Plain Languages to Enhance On-Screen Text Readability: A Use Case of Pakistan', Global Journal of Flexible Systems Management, vol. 18, no. 1, pp. 33-49.
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Hussein, F & Piccardi, M 2017, 'V-JAUNE: A framework for joint action recognition and video summarization', ACM Transactions on Multimedia Computing, Communications and Applications, vol. 13, no. 2.
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Jan, M, Nanda, P, Usman, M & He, X 2017, 'PAWN: A Payload-based mutual Authentication scheme for Wireless Sensor Networks', Concurrency and Computation: Practice and Experience, vol. 29, no. 17.
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Jauregi Unanue, I, Zare Borzeshi & Piccardi, M 2017, 'Recurrent neural networks with specialized word embeddings for health domain named-entity recognition', Journal of Biomedical Informatics, vol. 76, no. December 2017, pp. 102-102.
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Jiang, Y, Tsai, P, Yeh, WC & Cao, L 2017, 'A honey-bee-mating based algorithm for multilevel image segmentation using Bayesian theorem', Applied Soft Computing Journal, vol. 52, pp. 1181-1190.
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Kocbek, S & Kim, JD 2017, 'Exploring biomedical ontology mappings with graph theory methods', PeerJ, vol. 2017, no. 3, pp. 1-20.
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Laengle, S, Loyola, G & Merigó, JM 2017, 'Mean-Variance Portfolio Selection with the Ordered Weighted Average', IEEE Transactions on Fuzzy Systems, vol. 25, no. 2, pp. 350-362.
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Laengle, S, Merigó, JM, Miranda, J, Słowiński, R, Bomze, I, Borgonovo, E, Dyson, RG, Oliveira, JF & Teunter, R 2017, 'Forty years of the European Journal of Operational Research: A bibliometric overview', European Journal of Operational Research, vol. 262, no. 3, pp. 803-816.
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Le, M, Gabrys, B & Nauck, D 2017, 'A hybrid model for business process event and outcome prediction', EXPERT SYSTEMS, vol. 34, no. 5.
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Lee, JYL, Brown, JJ & Ryan, LM 2017, 'Sufficiency Revisited: Rethinking Statistical Algorithms in the Big Data Era', American Statistician, vol. 71, no. 3, pp. 202-208.
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Li, J, Deng, C, Xu, RYD, Tao, D & Zhao, B 2017, 'Robust Object Tracking with Discrete Graph-Based Multiple Experts', IEEE Transactions on Image Processing, vol. 26, no. 6, pp. 2736-2750.
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Li, J, Fong, S, Wong, RK, Millham, R & Wong, KKL 2017, 'Elitist Binary Wolf Search Algorithm for Heuristic Feature Selection in High-Dimensional Bioinformatics Datasets', SCIENTIFIC REPORTS, vol. 7.
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Li, J, Liu, L-S, Fong, S, Wong, RK, Mohammed, S, Fiaidhi, J, Sung, Y & Wong, KKL 2017, 'Adaptive Swarm Balancing Algorithms for rare-event prediction in imbalanced healthcare data', PLOS ONE, vol. 12, no. 7.
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Li, J, Mei, X, Prokhorov, D & Tao, D 2017, 'Deep Neural Network for Structural Prediction and Lane Detection in Traffic Scene', IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, vol. 28, no. 3, pp. 690-703.
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Li, J, Xu, C, Yang, W, Sun, C & Tao, D 2017, 'Discriminative multi-view interactive image re-ranking', IEEE Transactions on Image Processing, vol. 26, no. 7, pp. 3113-3127.
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Li, Z, Gong, D, Zhu, K, Tao, D & Li, X 2017, 'Multifeature anisotropic orthogonal Gaussian process for automatic age estimation', ACM Transactions on Intelligent Systems and Technology, vol. 9, no. 1, pp. 1-15.
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Liu, B, Xiao, Y & Cao, L 2017, 'SVM-based multi-state-mapping approach for multi-class classification', Knowledge-Based Systems, vol. 129, pp. 79-96.
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Liu, F, Gong, C, Zhou, T, Fu, K, He, XS & Yang, J 2017, 'Visual Tracking via Nonnegative Multiple Coding', IEEE Transactions on Multimedia, vol. 19, no. 12.
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Liu, H, Wu, J, Liu, T, Tao, D & Fu, Y 2017, 'Spectral Ensemble Clustering via Weighted K-Means: Theoretical and Practical Evidence', IEEE Transactions on Knowledge and Data Engineering, vol. 29, no. 5, pp. 1129-1143.
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Liu, K, Beck, D, Thoms, JAI, Liu, L, Zhao, W, Pimanda, JE & Zhou, X 2017, 'Annotating function to differentially expressed LincRNAs in myelodysplastic syndrome using a network-based method', Bioinformatics (Oxford, England), vol. 33, no. 17, pp. 2622-2630.
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Liu, Q, Deng, J, Yang, J, Liu, G & Tao, D 2017, 'Adaptive cascade regression model for robust face alignment', IEEE Transactions on Image Processing, vol. 26, no. 2, pp. 797-807.
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Liu, Q, Sun, Y, Wang, C, Liu, T & Tao, D 2017, 'Elastic net hypergraph learning for image clustering and semi-supervised classification', IEEE Transactions on Image Processing, vol. 26, no. 1, pp. 452-463.
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Liu, S, Li, G, Tran, T & Jiang, Y 2017, 'Preference Relation-based Markov Random Fields for Recommender Systems', Machine Learning, vol. 106, no. 4, pp. 523-546.
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Liu, T, Gong, M & Tao, D 2017, 'Large-Cone Nonnegative Matrix Factorization', IEEE Transactions on Neural Networks and Learning Systems, vol. 28, no. 9, pp. 2129-2142.
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Liu, T, Tao, D, Song, M & Maybank, S 2017, 'Algorithm-Dependent Generalization Bounds for Multi-Task Learning.', IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 39, no. 2, pp. 227-241.
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Liu, W, Chen, X, Yang, J & Wu, Q 2017, 'Robust Color Guided Depth Map Restoration', IEEE Transactions on Image Processing, vol. 26, no. 1, pp. 315-327.
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Liu, W, Chen, X, Yang, J & Wu, Q 2017, 'Variable Bandwidth Weighting for Texture Copy Artifacts Suppression in Guided Depth Upsampling', IEEE Transactions on Circuits and Systems for Video Technology, vol. 27, no. 10, pp. 2072-2085.
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Liu, W, Luo, X, Zhang, J, Xue, R & Xu, RYD 2017, 'Semantic summary automatic generation in news event', Concurrency and Computation: Practice and Experience, vol. 29, no. 24, pp. 1-5.
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Liu, X, Li, Z, Deng, C & Tao, D 2017, 'Distributed Adaptive Binary Quantization for Fast Nearest Neighbor Search', IEEE Transactions on Image Processing, vol. 26, no. 11, pp. 5324-5336.
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Liu, Y, Peng, H, Wong, L & Li, J 2017, 'High-speed and high-ratio referential genome compression.', Bioinformatics, vol. 33, no. 21, pp. 3364-3372.
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Llopis-Albert, C, Merigó, JM, Xu, Y & Liao, H 2017, 'Improving Regional Climate Projections by Prioritized Aggregation via Ordered Weighted Averaging Operators', Environmental Engineering Science, vol. 34, no. 12, pp. 880-886.
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Lu, J, Xuan, J, Zhang, G, Xu, YD & Luo, X 2017, 'Bayesian Nonparametric Relational Topic Model through Dependent Gamma Processes', IEEE Transactions on Knowledge and Data Engineering, vol. 29, no. 7, pp. 1357-1369.
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Ma, K, Liu, W, Liu, T, Wang, Z & Tao, D 2017, 'DipIQ: Blind Image Quality Assessment by Learning-to-Rank Discriminable Image Pairs', IEEE Transactions on Image Processing, vol. 26, no. 8, pp. 3951-3964.
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Mao, R, Liang, C, Zhang, Y, Hao, X & Li, J 2017, '50/50 Expressional Odds of Retention Signifies the Distinction between Retained Introns and Constitutively Spliced Introns in Arabidopsis thaliana.', Frontiers in Plant Science, vol. 8, pp. 1-16.
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Meng, Q, Catchpoole, D, Skillicorn, D & Kennedy, PJ 2017, 'DBNorm: Normalizing high-density oligonucleotide microarray data based on distributions', BMC Bioinformatics, vol. 18, no. 1.
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Meng, X, Cao, L, Zhang, X & Shao, J 2017, 'Top-k coupled keyword recommendation for relational keyword queries', Knowledge and Information Systems, vol. 50, no. 3, pp. 883-916.
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Merigo, JM & Yang, J-B 2017, 'A bibliometric analysis of operations research and management science', OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE, vol. 73, pp. 37-48.
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Merigó, JM & Yang, JB 2017, 'Accounting Research: A Bibliometric Analysis', Australian Accounting Review, vol. 27, no. 1, pp. 71-100.
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Merigó, JM, Blanco-Mesa, F, Gil-Lafuente, AM & Yager, RR 2017, 'Thirty Years of the International Journal of Intelligent Systems: A Bibliometric Review', International Journal of Intelligent Systems, vol. 32, no. 5, pp. 526-554.
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Merigó, JM, Linares-Mustarós, S & Ferrer-Comalat, JC 2017, 'Guest editorial', Kybernetes, vol. 46, no. 1, pp. 2-7.
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Merigó, JM, Palacios-Marqués, D & Soto-Acosta, P 2017, 'Distance measures, weighted averages, OWA operators and Bonferroni means', Applied Soft Computing Journal, vol. 50, pp. 356-366.
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Mirtalaie, MA, Hussain, OK, Chang, E & Hussain, FK 2017, 'A decision support framework for identifying novel ideas in new product development from cross-domain analysis', Information Systems, vol. 69, pp. 59-80.
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Musial-Gabrys, K, Brodka & De Meo 2017, 'Analysis and Applications of Complex Social Networks'.
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Nguyen, H, Liu, W & Chen, F 2017, 'Discovering Congestion Propagation Patterns in Spatio-Temporal Traffic Data', IEEE Transactions on Big Data, vol. 3, no. 2, pp. 169-180.
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Pan, S, Wu, J, Zhu, X, Long, G & Zhang, C 2017, 'Boosting for graph classification with universum', Knowledge and Information Systems, vol. 50, no. 1, pp. 53-77.
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Pan, S, Wu, J, Zhu, X, Long, G & Zhang, C 2017, 'Task Sensitive Feature Exploration and Learning for Multitask Graph Classification', IEEE Transactions on Cybernetics, vol. 47, no. 3, pp. 744-758.
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Peng, H, Lan, C, Liu, Y, Liu, T, Blumenstein, M & Li, J 2017, 'Chromosome preference of disease genes and vectorization for the prediction of non-coding disease genes.', Oncotarget, vol. 8, no. 45, pp. 78901-78916.
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Peng, H, Lan, C, Zheng, Y, Hutvagner, G, Tao, D & Li, J 2017, 'Cross disease analysis of co-functional microRNA pairs on a reconstructed network of disease-gene-microRNA tripartite.', BMC Bioinformatics, vol. 18, pp. 1-17.
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Picard, K, Smith, W, Tran, M, Siwabessy, J & Kennedy, PJ 2017, 'Increased resolution bathymetry in the southeast Indian ocean: MH370 search data', Hydro International, vol. 28/09/2017, pp. 1-5.
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Qiao, M, Liu, L, Yu, J, Xu, C & Tao, D 2017, 'Diversified dictionaries for multi-instance learning', Pattern Recognition, vol. 64, pp. 407-416.
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Qu, Y, Lin, L, Shen, F, Lu, C, Wu, Y, Xie, Y & Tao, D 2017, 'Joint Hierarchical Category Structure Learning and Large-Scale Image Classification', IEEE Transactions on Image Processing, vol. 26, no. 9, pp. 4331-4346.
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Ren, J, Song, J, Ellis, J & Li, J 2017, 'Staged heterogeneity learning to identify conformational B-cell epitopes from antigen sequences', BMC GENOMICS, vol. 18.
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Romeo, M, Yepes-Baldó, M, Boria-Reverter, S & Merigó, JM 2017, 'Twenty-five years of research on work and organizational psychology: A bibliometric perspective', Anuario de Psicologia, vol. 47, no. 1, pp. 32-44.
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Schwarzer, A, Emmrich, S, Schmidt, F, Beck, D, Ng, M, Reimer, C, Adams, FF, Grasedieck, S, Witte, D, Käbler, S, Wong, JWH, Shah, A, Huang, Y, Jammal, R, Maroz, A, Jongen-Lavrencic, M, Schambach, A, Kuchenbauer, F, Pimanda, JE, Reinhardt, D, Heckl, D & Klusmann, J-H 2017, 'The non-coding RNA landscape of human hematopoiesis and leukemia.', Nature Communications, vol. 8, no. 1, pp. 1-17.
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Shen, F, Yang, Y, Liu, L, Liu, W, Tao, D & Shen, HT 2017, 'Asymmetric Binary Coding for Image Search', IEEE TRANSACTIONS ON MULTIMEDIA, vol. 19, no. 9, pp. 2022-2032.
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Sun, L, Chen, K, Song, M, Tao, D, Chen, G & Chen, C 2017, 'Robust, efficient depth reconstruction with hierarchical confidence-based matching', IEEE Transactions on Image Processing, vol. 26, no. 7, pp. 3331-3343.
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Tao, D, Tao, D, Li, X & Gao, X 2017, 'Large sparse cone non-negative matrix factorization for image annotation', ACM Transactions on Intelligent Systems and Technology, vol. 8, no. 3, pp. 1-21.
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Tian, D & Tao, D 2017, 'Global Hashing System for Fast Image Search', IEEE Transactions on Image Processing, vol. 26, no. 1, pp. 79-89.
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Unnikrishnan, A, Papaemmanuil, E, Beck, D, Deshpande, NP, Verma, A, Kumari, A, Woll, PS, Richards, LA, Knezevic, K, Chandrakanthan, V, Thoms, JAI, Tursky, ML, Huang, Y, Ali, Z, Olivier, J, Galbraith, S, Kulasekararaj, AG, Tobiasson, M, Karimi, M, Pellagatti, A, Wilson, SR, Lindeman, R, Young, B, Ramakrishna, R, Arthur, C, Stark, R, Crispin, P, Curnow, J, Warburton, P, Roncolato, F, Boultwood, J, Lynch, K, Jacobsen, SEW, Mufti, GJ, Hellstrom-Lindberg, E, Wilkins, MR, MacKenzie, KL, Wong, JWH, Campbell, PJ & Pimanda, JE 2017, 'Integrative Genomics Identifies the Molecular Basis of Resistance to Azacitidine Therapy in Myelodysplastic Syndromes.', Cell Reports, vol. 20, no. 3, pp. 572-585.
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Usman, M, Jan, MA & He, XS 2017, 'Cryptography-Based Secure Data Storage and Sharing Using HEVC and Public Clouds', Information Sciences, vol. 387, pp. 90-102.
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Valenzuela, LM, Merigó, JM, Johnston, WJ, Nicolas, C & Jaramillo, JF 2017, 'Thirty years of the Journal of Business & Industrial Marketing: a bibliometric analysis', Journal of Business and Industrial Marketing, vol. 32, no. 1, pp. 1-17.
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Wang, H, Wu, J, Pan, S, Zhang, P & Chen, L 2017, 'Towards large-scale social networks with online diffusion provenance detection', Computer Networks, vol. 114, pp. 154-166.
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Wang, H, Zhang, P, Zhu, X, Tsang, IWH, Chen, L, Zhang, C & Wu, X 2017, 'Incremental Subgraph Feature Selection for Graph Classification', IEEE Transactions on Knowledge and Data Engineering, vol. 29, no. 1, pp. 128-142.
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Wang, J, Merigó, JM & Jin, LS 2017, 'S-H OWA Operators with Moment Measure', International Journal of Intelligent Systems, vol. 32, no. 1, pp. 51-66.
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Wang, JJJ, Bartlett, M & Ryan, L 2017, 'Non-ignorable missingness in logistic regression.', Statistics in Medicine, vol. 36, no. 19, pp. 3005-3021.
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Wang, JJJ, Bartlett, M & Ryan, L 2017, 'On the impact of nonresponse in logistic regression: application to the 45 and Up study.', BMC Medical Research Methodology, vol. 17, no. 1, pp. 1-13.
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Wang, W, Yin, H, Chen, L, Sun, Y, Sadiq, S & Zhou, X 2017, 'ST-SAGE: A spatial-Temporal sparse additive generative model for spatial item recommendation', ACM Transactions on Intelligent Systems and Technology, vol. 8, no. 3.
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Wang, X, Fan, B, Chang, S, Wang, Z, Liu, X, Tao, D & Huang, TS 2017, 'Greedy Batch-Based Minimum-Cost Flows for Tracking Multiple Objects', IEEE Transactions on Image Processing, vol. 26, no. 10, pp. 4765-4776.
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Wang, Y, Xu, C, You, S, Tao, D & Xu, C 2017, 'CNNpack: Packing convolutional neural networks in the frequency domain', Advances in Neural Information Processing Systems, pp. 253-261.
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Wang, Y, Xu, C, You, S, Xu, C & Tao, D 2017, 'DCT Regularized Extreme Visual Recovery', IEEE TRANSACTIONS ON IMAGE PROCESSING, vol. 26, no. 7, pp. 3360-3371.
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Wang, Z & Cao, L 2017, 'Coupled Attribute Similarity Learning on Categorical Data for Multi-Label Classification', Journal- Beijing Institute of Technology (English Edition), vol. 26, no. 3, pp. 404-410.
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Wang, Z & Cao, L 2017, 'Novel Apriori-Based Multi-Label Learning Algorithm by Exploiting Coupled Label Relationship', Journal Beijing Institute of Technology (English Edition), vol. 26, no. 2, pp. 206-214.
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Wei, L, Xiong, X, Zhang, W, He, XT & Zhang, Y 2017, 'The effect of genetic algorithm learning with a classifier system in limit order markets', Engineering Applications of Artificial Intelligence, vol. 65, pp. 436-448.
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Wu, J, Pan, S, Zhu, X, Zhang, C & Wu, X 2017, 'Positive and Unlabeled Multi-Graph Learning', IEEE Transactions on Cybernetics, vol. 47, no. 4, pp. 818-829.
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Wu, Z, Lei, L, Li, G, Huang, H, Zheng, C, Chen, E & Xu, G 2017, 'A topic modeling based approach to novel document automatic summarization', Expert Systems with Applications, vol. 84, pp. 12-23.
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Wu, Z, Zhu, H, Li, G, Cui, Z, Huang, H, Li, J, Chen, E & Xu, G 2017, 'An efficient Wikipedia semantic matching approach to text document classification', Information Sciences, vol. 393, pp. 15-28.
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Xie, L, Tao, D & Wei, H 2017, 'Joint structured sparsity regularized multiview dimension reduction for video-based facial expression recognition', ACM Transactions on Intelligent Systems and Technology, vol. 8, no. 2.
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Xiong, W, Zhang, L, Du, B & Tao, D 2017, 'Combining local and global: Rich and robust feature pooling for visual recognition', Pattern Recognition, vol. 62, pp. 225-235.
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Xu, Z, Tao, D, Huang, S & Zhang, Y 2017, 'Friend or Foe: Fine-Grained Categorization with Weak Supervision', IEEE Transactions on Image Processing, vol. 26, no. 1, pp. 135-146.
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Xuan, J, Lu, J, Zhang, G, Xu, RYD & Luo, X 2017, 'A Bayesian nonparametric model for multi-label learning', MACHINE LEARNING, vol. 106, no. 11, pp. 1787-1815.
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Yang, N, Usman, M, He, XS, Jan, M & Zhang, L 2017, 'Time Frequency Filters Bank: A Simple Approach for Audio and Music Separation', IEEE Access, vol. 5, pp. 27114-27125.
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Yao, Y, Zhang, J, Shen, F, Hua, X, Xu, J & Tang, Z 2017, 'A new web-supervised method for image dataset constructions', Neurocomputing, vol. 236, pp. 23-31.
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Yao, Y, Zhang, J, Shen, F, Hua, X, Xu, J & Tang, Z 2017, 'Exploiting Web Images for Dataset Construction: A Domain Robust Approach', IEEE Transactions on Multimedia, vol. 19, no. 8, pp. 1771-1784.
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Yin, H, Wang, W, Wang, H, Chen, L & Zhou, X 2017, 'Spatial-Aware Hierarchical Collaborative Deep Learning for POI Recommendation', IEEE Transactions on Knowledge and Data Engineering, vol. 29, no. 11, pp. 2537-2551.
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Yu, J, Yang, X, Gao, F & Tao, D 2017, 'Deep Multimodal Distance Metric Learning Using Click Constraints for Image Ranking', IEEE Transactions on Cybernetics, vol. 47, no. 12, pp. 4014-4024.
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Yusoff, B, Merigó, JM & Ceballos, D 2017, 'Owa-based aggregation operations in multi-expert mcdm model', Economic Computation and Economic Cybernetics Studies and Research, vol. 51, no. 2, pp. 211-230.
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Zeng, K, Yu, J, Wang, R, Li, C & Tao, D 2017, 'Coupled Deep Autoencoder for Single Image Super-Resolution', IEEE Transactions on Cybernetics, vol. 47, no. 1, pp. 27-37.
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Zeng, S, Merigó, JM, Palacios-Marqués, D, Jin, H & Gu, F 2017, 'Intuitionistic fuzzy induced ordered weighted averaging distance operator and its application to decision making', Journal of Intelligent and Fuzzy Systems, vol. 32, no. 1, pp. 11-22.
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Zhai, T, Gao, Y, Wang, H & Cao, L 2017, 'Classification of high-dimensional evolving data streams via a resource-efficient online ensemble', Data Mining and Knowledge Discovery, vol. 31, no. 5, pp. 1242-1265.
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Zhang, C, Du, L & Tao, D 2017, 'LSV-based tail inequalities for sums of random matrices', Neural Computation, vol. 29, no. 1, pp. 247-262.
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Zhang, D, Li, H, Jiang, X, Cao, L, Wen, Z, Yang, X & Xue, P 2017, 'Role of AP-2α and MAPK7 in the regulation of autocrine TGF-β/miR-200b signals to maintain epithelial-mesenchymal transition in cholangiocarcinoma', Journal of Hematology and Oncology, vol. 10, no. 1.
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Zhang, K, Tao, D, Gao, X, Li, X & Li, J 2017, 'Coarse-to-Fine Learning for Single-Image Super-Resolution', IEEE Transactions on Neural Networks and Learning Systems, vol. 28, no. 5, pp. 1109-1122.
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Zhang, Q, Wu, J, ZHANG, P, Long, G & Zhang, C 2017, 'Collective Hyping Detection System for Identifying Online Spam Activities', IEEE Intelligent Systems, vol. 32, no. 5.
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Zhang, S, Lan, X, Yao, H, Zhou, H, Tao, D & Li, X 2017, 'A Biologically Inspired Appearance Model for Robust Visual Tracking', IEEE Transactions on Neural Networks and Learning Systems, vol. 28, no. 10, pp. 2357-2370.
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Zhang, T, Jia, W, He, XS & Yang, J 2017, 'Discriminative Dictionary Learning with Motion Weber Local Descriptor for Violence Detection', IEEE Transactions on Circuits and Systems for Video Technology, vol. 27, no. 3, pp. 696-709.
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Zhang, T, Jia, W, Yang, B, Yang, J, He, X & Zheng, Z 2017, 'MoWLD: a robust motion image descriptor for violence detection', Multimedia Tools and Applications, vol. 76, no. 1, pp. 1419-1438.
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Zhao, L, Chen, Q, Li, W, Jiang, P, Wong, L & Li, J 2017, 'MapReduce for accurate error correction of next-generation sequencing data.', Bioinformatics, vol. 33, no. 23, pp. 3844-3851.
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Zhao, N, Zhang, L, Du, B, Zhang, Q, You, J & Tao, D 2017, 'Robust Dual Clustering with Adaptive Manifold Regularization', IEEE Transactions on Knowledge and Data Engineering, vol. 29, no. 11, pp. 2498-2509.
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Zhao, Y, Di, H, Zhang, J, Lu, Y, Lv, F & Li, Y 2017, 'Region-based Mixture Models for human action recognition in low-resolution videos', Neurocomputing.
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Zhou, X, Chen, L, Zhang, Y, Qin, D, Cao, L, Huang, G & Wang, C 2017, 'Enhancing online video recommendation using social user interactions', VLDB Journal, vol. 26, no. 5, pp. 637-656.
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Conferences

Agrawal, S & Williams, MA 2017, 'Robot authority and human obedience: A study of human behaviour using a robot security guard', ACM/IEEE International Conference on Human-Robot Interaction, 2017 ACM/IEEE International Conference on Human-Robot Interaction, Vienna, Austria, pp. 57-58.
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aldebei, K, Farhood, H, Jia, W, Nanda, P & He, X 2017, 'Sequential and Unsupervised Document Authorial Clustering Based on Hidden Markov Model', Trustcom/BigDataSE/ICESS.2017, 2017 IEEE Trustcom/BigDataSE/ICESS, IEEE, Sydney.
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Alfaro-Garcia, VG, Gil-Lafuente, AM & Merigo, JM 2016, 'Induced generalized ordered weighted logarithmic aggregation operators', Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016, IEEE Symposium Series on Computational Intelligence, IEEE, Athens, Greexe, pp. 1-7.
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Al-Jubouri, B & Gabrys, B 2017, 'Diversity and Locality in Multi-Component, Multi-Layer Predictive Systems: A Mutual Information Based Approach', ADVANCED DATA MINING AND APPLICATIONS, ADMA 2017, International Conference on Advanced Data Mining and Applications (ADMA), SPRINGER INTERNATIONAL PUBLISHING AG, Singapore, SINGAPORE, pp. 313-325.
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Alkalbani, AM, Gadhvi, L, Patel, B, Hussain, FK, Ghamry, AM & Hussain, OK 2017, 'Analysing cloud services reviews using opining mining', 2017 IEEE 31ST INTERNATIONAL CONFERENCE ON ADVANCED INFORMATION NETWORKING AND APPLICATIONS (AINA), 31st IEEE International Conference on Advanced Information Networking and Applications (IEEE AINA), IEEE, Tamkang Univ, Taipei, TAIWAN, pp. 1124-1129.
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Anaissi, A, Khoa, NLD, Mustapha, S, Alamdari, MM, Braytee, A, Wang, Y & Chen, F 2017, 'Adaptive one-class support vector machine for damage detection in structural health monitoring', Advances in Knowledge Discovery and Data Mining (LNAI), Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, Springer, Jeju, South Korea, pp. 42-57.
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Anshar, M & Williams, M-A 2017, 'Evolving Artificial Pain from Fault Detection through Pattern Data Analysis', 2017 IEEE International Conference on Real-time Computing and Robotics (RCAR), IEEE International Conference on Real-time Computing and Robotics, IEEE, Okinawa, Japan, pp. 694-699.
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Aravanis, T, Peppas, P & Williams, MA 2017, 'Epistemic-entrenchment characterization of Parikh's axiom', IJCAI International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence, International Joint Conferences on Artificial Intelligence Organization, Melbourne, Australia, pp. 772-778.
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Billingsley, R, Billingsley, J, Gärdenfors, P, Peppas, P, Prade, H, Skillicorn, D & Williams, MA 2017, 'The altruistic robot: Do what i want, not just what i say', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), International Conference on Scalable Uncertainty Management, Granada, Spain, pp. 149-162.
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Billingsley, R, Prade, H, Richard, G & Williams, MA 2017, 'Towards analogy-based decision - A proposal', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12th International Conference Flexible Query Answering Systems, London UK, pp. 28-35.
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Blanco-Mesa, F & Merigo-Lindahl, JM 2016, 'Bonferroni distances with OWA operators', Proceedings of the Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS, Annual Conference of the North American Fuzzy Information Processing Society, IEEE, El Paso, TX, USA.
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Blanco-Mesa, F, Lindahl, JMM & Gil-Lafuente, AM 2016, 'A bibliometric analysis of fuzzy decision making research', Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS, 2016 Annual Conference of the North American Fuzzy Information Processing Society, El Paso, TX, USA.
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Braytee, A, Liu, W & Kennedy, PJ 2017, 'Supervised context-aware non-negative matrix factorization to handle high-dimensional high-correlated imbalanced biomedical data', Proceedings of the International Joint Conference on Neural Networks, 2017 International Joint Conference on Neural Networks, Anchorage, AK, USA, pp. 4512-4519.
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Braytee, A, Liu, W, Catchpoole, DR & Kennedy, PJ 2017, 'Multi-label feature selection using correlation information', International Conference on Information and Knowledge Management, Proceedings, ACM on Conference on Information and Knowledge Management, ACM, Singapore, Singapore, pp. 1649-1656.
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Cai, B, Xu, X, Guo, K, Jia, K, Hu, B & Tao, D 2017, 'A Joint Intrinsic-Extrinsic Prior Model for Retinex', Proceedings of the IEEE International Conference on Computer Vision, International Conference on Computer Vision, IEEE, Venice, Italy, pp. 4020-4029.
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Chivukula, AS & Liu, W 2017, 'Adversarial learning games with deep learning models', Proceedings of the International Joint Conference on Neural Networks, International Joint Conference on Neural Networks, IEEE, Anchorage, AK, USA, pp. 2758-2767.
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Chou, KP, Prasad, M, Li, DL, Bharill, N, Lin, YF, Hussain, F, Lin, CT & Lin, WC 2017, 'Automatic Multi-view Action Recognition with Robust Features', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), International Conference on Neural Information Processing, Springer, Guangzhou, China, pp. 554-563.
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Chu, C, Brownlow, J, Meng, Q, Fu, B, Culbert, B, Zhu, M, Xu, G & He, X 2017, 'Combining heterogeneous features for time series prediction', 2017 International Conference on Behavioral, Economic, Socio-cultural Computing (BESC), International Conference on Behavioral, Economic, Socio-cultural Computing, IEEE, Krakow, Poland.
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Diesner, J, Ferrari, E & Xu, G 2017, 'Welcome from the ASONAM 2017 program chairs', Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2017, p. xviii.
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Do, Q, Liu, W & Chen, F 2017, 'Discovering both explicit and implicit similarities for cross-domain recommendation', Advances in Knowledge Discovery and Data Mining (LNAI), Pacific Asia Conference on Advances in Knowledge Discovery and Data Mining, Springer, Jeju, South Korea, pp. 618-630.
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Do, QNT, Hussain, FK & Nguyen, BT 2017, 'A fuzzy approach to detect spammer groups', IEEE International Conference on Fuzzy Systems, IEEE International Conference on Fuzzy Systems, IEEE, Naples, Italy, pp. 1-6.
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Du, Y, Xu, C & Tao, D 2017, 'Collaborative rating allocation', IJCAI International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence, International Joint Conferences on Artificial Intelligence Organization, Melbourne, Australia, pp. 1617-1623.
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Du, Y, Xu, C & Tao, D 2017, 'Privileged matrix factorization for collaborative filtering', IJCAI International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence Organization, Melbourne, Australia, pp. 1610-1616.
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ElShaweesh, O, Hussain, FK, Lu, H, Al-Hassan, M & Kharazmi, S 2017, 'Personalized Web Search Based on Ontological User Profile in Transportation Domain', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 24th International Conference on Neural Information Processing 2017, Springer, Guangzhou, China, pp. 239-248.
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Fan, M, Chang, X & Tao, D 2017, 'Structure regularized unsupervised discriminant feature analysis', 31st AAAI Conference on Artificial Intelligence, AAAI 2017, Thirty-First AAAI Conference on Artificial Intelligence 2017, AAAI, California, USA, pp. 1870-1876.
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Farhood, H, He, XS, Jia, W, Blumenstein, M & Li, H 2017, 'Counting People based on Linear, Weighted and Local Random Forest', Prcoeedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications (DICTA), The International Conference on Digital Image Computing: Techniques and Applications, IEEE, Sydney, pp. 1-7.
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Gao, F, Musial, K & Gabrys, B 2017, 'A community bridge boosting social network link prediction model', Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2017, pp. 683-689.
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Ghamry, AM, Alkalbani, AM, Tran, V, Tsai, YC, Hoang, ML & Hussain, FK 2017, 'Towards a public cloud services registry', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 18th International Conference Web Information Systems Engineering, Puschino, Russia, pp. 290-295.
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Gong, C, Zhang, H, Yang, J & Tao, D 2017, 'Learning with inadequate and incorrect supervision', Proceedings - IEEE International Conference on Data Mining, ICDM, International Conference on Data Mining, IEEE, New Orleans, LA, USA, pp. 889-894.
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Gong, M, Zhang, K, Schölkopf, B, Glymour, C & Tao, D 2017, 'Causal discovery from temporally aggregated time series', Uncertainty in Artificial Intelligence - Proceedings of the 33rd Conference, UAI 2017.
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Gu, S, Lu, Y, Zhang, L & Zhang, J 2017, 'RGB-D Tracking Based on Kernelized Correlation Filter with Deep Features', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), International Conference on Neural Information ProcessingConference on Neural Information Processingtional Conference on Neural Information Processing, SpringerLink, Guangzhou, China, pp. 105-113.
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He, X, Mohapatra, P, Sandhu, R, Guo, S, Di Martino, B, Lu, J, Mosse, D & Pasricha, S 2017, 'Message from the IEEE TrustCom/BigDataSE/ICESS 2017 General Chairs', Proceedings - 16th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, 11th IEEE International Conference on Big Data Science and Engineering and 14th IEEE International Conference on Embedded Software and Systems, Trustcom/BigDataSE/ICESS 2017, p. xvi.
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Hu, L, Cao, L, Wang, S, Xu, G, Cao, J & Gu, Z 2017, 'Diversifying personalized recommendation with user-session context', IJCAI International Joint Conference on Artificial Intelligence, International Joint Conferences on Artifical Intelligence, International Joint Conferences on Artificial Intelligence Organization, Melbourne, Australia, pp. 1858-1864.
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Huang, L, Liu, X, Liu, Y, Lang, B & Tao, D 2017, 'Centered Weight Normalization in Accelerating Training of Deep Neural Networks', Proceedings of the IEEE International Conference on Computer Vision, IEEE International Conference on Computer Vision, IEEE, Venice, Italy, pp. 2822-2830.
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Huang, S, Gong, M & Tao, D 2017, 'A Coarse-Fine Network for Keypoint Localization', Proceedings of the IEEE International Conference on Computer Vision, IEEE International Conference on Computer Vision, Venice, Italy, pp. 3047-3056.
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Hussain, W, Farookh Hussain & Omar Hussain 2016, 'Risk Management Framework to Avoid SLA Violation in Cloud from a Provider’s Perspective', Advances on P2P, Parallel, Grid, Cloud and Internet Computing, Advances on P2P, Parallel, Grid, Cloud and Internet Computing, Springer International Publishing, Asan, Korea, pp. 233-241.
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Hussein, F & Piccardi, M 2017, 'Minimum-Risk Structured Learning of Video Summarization', 2017 IEEE International Symposium on Multimedia (ISM), IEEE International Symposium on Multimedia, IEEE, Taichung, Taiwan.
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Jia, K, Tao, D, Gao, S & Xu, X 2017, 'Improving training of deep neural networks via Singular Value Bounding', Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, 017 IEEE Conference on Computer Vision and Pattern Recognition, IEEE, Honolulu, HI, USA, pp. 3994-4002.
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Jiahui, G, Bin, Y, Xu, G, Zhenglu, Y & Jin-Mao, W 2017, 'An Enhanced Convolutional Neural Network Model for Answer Selection', Proceeding WWW '17 Companion Proceedings of the 26th International Conference on World Wide Web Companion, International Conference on World Wide Web, ACM, Perth, Western Australia, pp. 789-790.
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Jian, S, Cao, L, Pang, G, Lu, K & Gao, H 2017, 'Embedding-based representation of categorical data by hierarchical value coupling learning', IJCAI International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence, International Joint Conferences on Artificial Intelligence Organization, Melbourne, Australia, pp. 1937-1943.
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Jiang, Z, Huynh, DQ, Zhang, J, Qiang, W & Zhang, J 2017, 'Part-based Data Association for Visual Tracking', Proceedings of Digital Image Computing: Techniques and Applications (DICTA), 2017 International Conference on, International Conference on Digital Image Computing: Techniques and Applications, IEEE, Sydney, NSW, Australia, pp. 1-8.
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Kim, J, Shim, K, Cao, L, Lee, JG, Lin, X & Moon, YS 2017, 'Advances in Knowledge Discovery and Data Mining', Lecture Notes in Computer Science, Pacific-Asia Conference on Knowledge Discovery and Data Mining, Springer Verlag, Jeju, South Korea.
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Kim, J, Shim, K, Cao, L, Lee, JG, Lin, X & Moon, YS 2017, 'PC Chairs’ Preface', Advances in Knowledge Discovery and Data Mining (LNAI), Pacific-Asia Conference on Knowledge Discovery and Data Mining, Jeju, South Korea, pp. i-i.
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Kocbek, S & Groza, T 2017, 'Extracting Disease-Phenotype Relations from Text with Disease-Phenotype Concept Recognisers and Association Rule Mining', Proceedings - IEEE Symposium on Computer-Based Medical Systems, 2017 IEEE 30th International Symposium on Computer-Based Medical Systems, IEEE, Thessaloniki, Greece, pp. 358-363.
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Kusakunniran, W, Wu, Q & Zhang, J 2017, 'Action Recognition based on Correlated Codewords of Body Movements', Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications (DICTA), International Conference on Digital Image Computing: Techniques and Applications, IEEE, Sydney, Australia, pp. 1-8.
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Kusakunniran, W, Wul, Q, Ritthipravad, P & Zhang, J 2017, 'Three-stages hard exudates segmentation in retinal images', 2017 9th International Conference on Information Technology and Electrical Engineering, ICITEE 2017, 2017 9th International Conference on Information Technology and Electrical Engineering, IEEE, Phuket, Thailand, pp. 1-6.
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Li, H, Wu, H, He, X, Lin, S, Wang, R & Luo, X 2017, 'Multi-view pairwise relationship learning for sketch based 3D shape retrieval', Proceedings - IEEE International Conference on Multimedia and Expo, IEEE International Conference on Multimedia and Expo, IEEE, Hong Kong, China, pp. 1434-1439.
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Li, J, Fong, S, Hu, S, Chu, VW, Wong, RK, Mohammed, S & Dey, N 2017, 'Rare event prediction using similarity majority under-sampling technique', Communications in Computer and Information Science, pp. 23-39.
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Li, Q, Tan, Z, Jamdagni, A, Nanda, P, He, X & Han, W 2017, 'An Intrusion Detection System Based on Polynomial Feature Correlation Technique', Proceedings of the 2017 IEEE Trustcom/BigDataSE/ICESS, 2017 IEEE Trustcom/BigDataSE/ICESS, IEEE Computer Society, Sydney, pp. 978-983.
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Li, Y, Tian, X, Shen, X & Tao, D 2017, 'Classification and representation joint learning via deep networks', IJCAI International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence, International Joint Conferences on Artificial Intelligence Organization, Melbourne, Australia, pp. 2215-2221.
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Lian, D, Liu, R, Ge, Y, Zheng, K, Xie, X & Cao, L 2017, 'Discrete Content-aware Matrix Factorization', KDD'17: PROCEEDINGS OF THE 23RD ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING, 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), ASSOC COMPUTING MACHINERY, Halifax, CANADA, pp. 325-334.
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Lin, FP-Y, Groza, T, Kocbek, S, Antezana, E & Epstein, RJ 2017, 'The Cancer Care Treatment Outcomes Ontology (CCTO): A computable ontology for profiling treatment outcomes of patients with solid tumors.', JOURNAL OF CLINICAL ONCOLOGY, 53rd Annual Clinical Science Meeting of the American-Society-of-Clinical-Oncology (ASCO) / Symposium on Old Targets, New Drugs - Her2 and MET, AMER SOC CLINICAL ONCOLOGY, Chicago, IL.
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Lin, FP-Y, Martin, C, Kocbek, S, Joshua, AM, Dear, RF-G, Lim, E, Chantrill, LA, Chin, VT & Epstein, RJ 2017, 'Identifying determinants of quality of life in patients undergoing systemic therapy for solid tumors.', JOURNAL OF CLINICAL ONCOLOGY, 53rd Annual Clinical Science Meeting of the American-Society-of-Clinical-Oncology (ASCO) / Symposium on Old Targets, New Drugs - Her2 and MET, AMER SOC CLINICAL ONCOLOGY, Chicago, IL.
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Liu, B, Chen, L, Zhu, X, Zhang, Y & Zhang, C 2017, 'Protecting Location Privacy in Spatial Crowdsourcing using Encrypted Data', 20th International Conference on Extending Database Technology (EDBT), International Conference on Extending Database Technology, Open Proceedings, Venice, Italy.
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Liu, M, Xu, C, Luo, Y, Xu, C, Wen, Y & Tao, D 2017, 'Cost-sensitive feature selection via f-measure optimization reduction', 31st AAAI Conference on Artificial Intelligence, AAAI 2017, AAAI Conference on Artificial Intelligence, AAAI, San Francisco, USA, pp. 2252-2258.
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Liu, M, Xu, C, Xu, C & Tao, D 2017, 'Fast SVM trained by divide-and-conquer anchors', IJCAI International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence, International Joint Conferences on Artificial Intelligence Organization, Melbourne, Australia, pp. 2322-2328.
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Liu, S, Pang, N, Xu, G & Liu, H 2017, 'Collaborative Filtering via Different Preference Structures', International Conference on Knowledge Science, Engineering and Management, Springer, Melbourne, Australia, pp. 309-321.
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Liu, S, Xu, G, Zhu, X & Zhou, Z 2017, 'Towards Simplified Insurance Application via Sparse Questionnaire Optimization', 2017 International Conference on Behavioral, Economic, Socio-cultural Computing (BESC), International Conference on Behavioral, Economic, and Socio-Cultural Computing, IEEE, Poland.
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Liu, T, Lugosi, G, Neu, G & Tao, D 2017, 'Algorithmic stability and hypothesis complexity', 34th International Conference on Machine Learning, ICML 2017, International Conference on Machine Learning, PMLR, Sydney, Australia, pp. 3413-3421.
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Liu, T, Yang, Q & Tao, D 2017, 'Understanding how feature structure transfers in transfer learning', IJCAI International Joint Conference on Artificial Intelligence, 2017 International Joint Conference on Artificial Intelligence, Melbourne, Australia, pp. 2365-2371.
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Liu, W, Chang, X, Chen, L & Yang, Y 2017, 'Early Active Learning with Pairwise Constraint for Person Re-identification', ECML PKDD 2017: Machine Learning and Knowledge Discovery in Databases, Joint European Conference on Machine Learning and Knowledge Discovery in Databases, Springer, Skopje, Macedonia, pp. 103-118.
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Luo, L, Liu, W, Koprinska, I & Chen, F 2015, 'DAAR: A discrimination-aware association rule classifier for decision support', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Conference on Big Data Analytics and Knowledge Discovery (DAWAK), Springer, Spain, pp. 47-68.
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Luo, Y, Tao, D & Wen, Y 2017, 'Exploiting high-order information in heterogeneous multi-task feature learning', IJCAI International Joint Conference on Artificial Intelligence, International Joint Conferences on Artifical Intelligence, International Joint Conferences on Artificial Intelligence Organization, Melbourne, Australia, pp. 2443-2449.
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Luo, Y, Wen, Y, Liu, T & Tao, D 2017, 'General heterogeneous transfer distance metric learning via knowledge fragments transfer', IJCAI International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence, International Joint Conferences on Artificial Intelligence Organization, Melbourne, Australia, pp. 2450-2456.
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Madhisetty, S & Williams, MA 2017, 'Framework for privacy in photos and videos when using social media', ICEIS 2017 - Proceedings of the 19th International Conference on Enterprise Information Systems, International Conference on Enterprise Information Systems, Science and Technology Publications, Porto, Portugal, pp. 331-336.
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Maggs, CA & Musial-Gabrys, K 2017, 'LINNEAN SYSTEMATICS IN THE AGE OF BIG DATA', PHYCOLOGIA, INT PHYCOLOGICAL SOC, pp. 123-124.

Meng, Q, Catchpoole, D, Skillicom, D & Kennedy, PJ 2019, 'Relational autoencoder for feature extraction', Proceedings of the International Joint Conference on Neural Networks, International Joint Conference on Neural Networks, IEEE, Anchorage, AK, USA, pp. 364-371.
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Meng, Q, Wu, J, Ellis, J & Kennedy, PJ 2017, 'Dynamic island model based on spectral clustering in genetic algorithm', Proceedings of the International Joint Conference on Neural Networks, International Joint Conference on Neural Networks, IEEE, Anchorage, AK, USA, pp. 1724-1731.
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Merigo, JM, Alrajeh, N & Peris-Ortiz, M 2017, 'Induced aggregation operators in the ordered weighted average sum', 2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016, IEEE Symposium Series on Computational Intelligence, IEEE, Athens, Greece, pp. 1-6.
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Merigo, JM, Blanco-Mesa, F, Gil-Lafuente, AM & Yager, RR 2016, 'A bibliometric analysis of the first thirty years of the International Journal of Intelligent Systems', Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016, IEEE Symposium Series on Computational Intelligence, IEEE, Athens, Greece.
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Mustapha, S, Braytee, A & Ye, L 2017, 'Detection of Surface Cracking in Steel Pipes based on Vibration Data using a Multi-Class Support Vector Machine Classifier', SENSORS AND SMART STRUCTURES TECHNOLOGIES FOR CIVIL, MECHANICAL, AND AEROSPACE SYSTEMS 2017, Conference on Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems, SPIE-INT SOC OPTICAL ENGINEERING, Portland, OR.
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Nagar, U, Nanda, P, He, X & Tan, Z 2017, 'A Framework for Data Security in Cloud using CollaborativeIntrusion Detection Scheme', SIN'17: Proceedings of the 10th International Conference on Security of Information and Networks, International Conference On Security Of Information And Networks, ACM Digital Library, Jaipur, India, pp. 188-193.
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Nanda, A, Nanda, P, He, X, Jamdagni, A & Puthal, D 2017, 'Secure-GLOR: An Adaptive Secure Routing Protocol for Dynamic Wireless Mesh Networks', 2017 IEEE Trustcom/BigDataSE/ICESS, 16th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, IEEE Computer Society, Sydney, Australia, pp. 269-276.
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Novianto, R & Williams, MA 3015, 'Emotion in robot decision making', Advances in Intelligent Systems and Computing, International Conference on Robot Intelligence Technology and Applications, Springer, Bucheon, Korea, pp. 221-232.
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Ochoa, EA, Castro, EL, Lindahl, JMM & Lafuente, AMG 2016, 'Forgotten effects and heavy moving averages in exchange rate forecasting', 2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016, IEEE Symposium Series on Computational Intelligence, IEEE, Athens, Greece, pp. 1-7.
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Ojha, S & Williams, M-A 2017, 'Emotional Appraisal : A Computational Perspective', Website proceedings of the Fifth Annual Conference on Advances in Cognitive Systems, Fifth Annual Conference on Advances in Cognitive Systems, ACS, Troy, USA, pp. 1-15.
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Ojha, S, Vitale, J & Williams, M-A 2017, 'A Domain-Independent Approach of Cognitive Appraisal Augmented by Higher Cognitive Layer of Ethical Reasoning', Proceedingsof the 39th Annual Meeting of the Cognitive Science Society, Annual Meeting of the Cognitive Science Society, Cognitive Science Society, London, pp. 2833-2838.
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Pan, P, Feng, J, Chen, L & Yang, Y 2017, 'Online compressed robust PCA', Proceedings of the International Joint Conference on Neural Networks, International Joint Conference on Neural Networks, IEEE, Anchorage, AK, USA, pp. 1041-1048.
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Pang, G, Cao, L, Chen, L & Liu, H 2017, 'Learning homophily couplings from non-IID data for joint feature selection and noise-resilient outlier detection', IJCAI International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence Organization, Melbourne, Australia, pp. 2585-2591.
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Pang, G, Xu, H, Cao, L & Zhao, W 2017, 'Selective value coupling learning for detecting outliers in high-dimensional categorical data', International Conference on Information and Knowledge Management, Proceedings, Conference on Information and Knowledge Management, Singapore, Singapore, pp. 807-816.
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Pang, N, Zhu, D, Li, G & Liu, S 2017, 'WarnFi: Non-Invasive WiFi-based Abnormal Activity Sensing Using Non-parametric Model', IEEE Military Communications Conference, IEEE, Baltimore, MD, USA.
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Qiao, M, Yu, J, Bian, W, Li, Q & Tao, D 2017, 'Improving Stochastic block models by incorporating power-law degree characteristic', IJCAI International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence Organization, Melbourne, Australia, pp. 2620-2626.
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Qin, M, Jin, D, He, D, Gabrys, B & Musial, K 2017, 'Adaptive community detection incorporating topology and content in social networks', Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2017, pp. 675-682.
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Raza, SA & Williams, M-A 2017, 'Potential Based Reward Shaping Using Learning to Rank', Proceedings of the Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction, ACM, pp. 261-262.
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Raza, SA & Williams, M-A 2017, 'Unconventional Formats of Background Knowledge from Human Teacher in Reward Shaping', Proceedings of the Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction, ACM, pp. 373-374.
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Run-ze, W, Xu, G, Enhong, C, Qi, L & Ng, W 2017, 'Knowledge or Gaming? Cognitive Modelling Based on Multiple-Attempt Response', Proceedings of the 26th International Conference on World Wide Web Companion, International World Wide Web Conference Companion, ACM, Perth, Western Australia, pp. 321-329.
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Salvador, MM, Budka, M & Gabrys, B 2017, 'Modelling multi-component predictive systems as petri nets', 15th International Industrial Simulation Conference 2017, ISC 2017, pp. 17-23.
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Schwarzer, A, Emmrich, S, Beck, D, Schmidt, F, Ng, M, Adams, FF, Witte, D, Kaebler, S, Wong, JWH, Shah, A, Jammal, R, Maroz, A, Reimer, C, Pimanda, JE, Reinhardt, D, Heckl, D & Klusmann, J-H 2017, 'Mapping the Lncrna-Landscape of Human Hematopoiesis and Leukemia Reveals Stem Cell Non-Coding Gene Expression Programs', ANNALS OF HEMATOLOGY, SPRINGER, pp. S51-S51.

Shen, X, Tian, X, Sun, S & Tao, D 2017, 'Patch reordering: A novel way to achieve rotation and translation invariance in convolutional neural networks', Proceedings of the 31st AAAI Conference on Artificial Intelligence, AAAI Conference on Artificial Intelligence, AAAI, San Francisco, USA, pp. 2534-2540.
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Shi, Y, Li, W, Gao, Y, Cao, L & Shen, D 2017, 'Beyond IID: Learning to combine Non-IID metrics for vision tasks', 31st AAAI Conference on Artificial Intelligence, AAAI 2017, AAAI Conference on Artificial Intelligence, AAAI, San Francisco, USA, pp. 1524-1531.
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Song, H, Wu, Q & Dong, H 2017, 'EMI-based diagnosis to grounding grids by combining ensemble empirical mode decomposition and ICA', ACM International Conference Proceeding Series, International Conference on Computer Modeling and Simulation, ACM DL, Canberra, Australia, pp. 196-200.
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Song, K, Gao, W, Feng, S, Wang, D, Wong, KF & Zhang, C 2017, 'Recommendation vs sentiment analysis: A text-driven latent factor model for rating prediction with cold-start awareness', IJCAI International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence Organisation, Melbourne, Australia, pp. 2744-2750.
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Timofte, R, Agustsson, E, Gool, LV, Yang, MH, Zhang, L, Lim, B, Son, S, Kim, H, Nah, S, Lee, KM, Wang, X, Tian, Y, Yu, K, Zhang, Y, Wu, S, Dong, C, Lin, L, Qiao, Y, Loy, CC, Bae, W, Yoo, J, Han, Y, Ye, JC, Choi, JS, Kim, M, Fan, Y, Yu, J, Han, W, Liu, D, Yu, H, Wang, Z, Shi, H, Wang, X, Huang, TS, Chen, Y, Zhang, K, Zuo, W, Tang, Z, Luo, L, Li, S, Fu, M, Cao, L, Heng, W, Bui, G, Le, T, Duan, Y, Tao, D, Wang, R, Lin, X, Pang, J, Xu, J, Zhao, Y, Xu, X, Pan, J, Sun, D, Zhang, Y, Song, X, Dai, Y, Qin, X, Huynh, XP, Guo, T, Mousavi, HS, Vu, TH, Monga, V, Cruz, C, Egiazarian, K, Katkovnik, V, Mehta, R, Jain, AK, Agarwalla, A, Praveen, CVS, Zhou, R, Wen, H, Zhu, C, Xia, Z, Wang, Z & Guo, Q 2017, 'NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results', Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, IEEE Conference on Computer Vision and Pattern Recognition Workshops, IEEE, Honolulu, HI, USA, pp. 1110-1121.
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Tonkin, M, Vitale, J, Ojha, S, Clark, J, Pfeiffer, S, Judge, W, Wang, X & Williams, M 2017, 'Embodiment, Privacy and Social Robots: May I Remember You?', Social Robotics: 9th International Conference, ICSR 2017, International Conference on Social Robotics, Springer International Publishing, Tsukuba, Japan, pp. 506-515.
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Tonkin, M, Vitale, J, Ojha, S, Williams, M-A, Fuller, P, Judge, W & Wang, X 2017, 'Would You Like to Sample? Robot Engagement in a Shopping Centre', 2017 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), International Symposium on Robot and Human Interactive Communication, IEEE, Lisbon, Portugal, pp. 42-49.
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Umair, A, Nanda, P & He, X 2017, 'Online Social Network Information Forensics: A Survey on Use of Various Tools and Determining How Cautious Facebook Users are?', Proceedings - 16th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, 11th IEEE International Conference on Big Data Science and Engineering and 14th IEEE International Conference on Embedded Software and Systems, Trustcom/BigDataSE/ICESS 2017, IEEE Trustcom/BigDataSE/ICESS, IEEE, Sydney, Australia, pp. 1139-1144.
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van Rijmenam, M, Erekhinskaya, T, Schweitzer, J & Williams, MA 2017, 'How Big Data Analytics Changes the Practice of Strategy When Navigating Times of Disruptive Innovation', Transforming Entrepreneurial - Thinking into Dynamic Capabilities, Strategic Management Society (SMS) Special Conference, Banff, Alberta, Canada.
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van Rijmenam, M, Schweitzer, J & Williams, MA 2017, 'A Distributed Future:How Blockchain Affects Strategic Management, Organisation Design & Governance', At the Interface, Academy of Management 2017 Annual Meeting, Academy of Management, Atlanta, Georia.
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Venkata, SK, Keppens, J & Musial, K 2015, 'Adaptive Caching Using Sub-query Fragmentation for Reduction in Data Transfers from Distributed Databases', ASTRONOMICAL DATA ANALYSIS SOFTWARE AND SYSTEMS XXV, 25th Annual Conference on Astronomical Data Analysis Software and Systems (ADASS XXV), ASTRONOMICAL SOC PACIFIC, ARC Ctr Excellence All Sky Astrophys (CAASTRO), Sydney, AUSTRALIA, pp. 85-88.

Venkata, SK, Musial, K, Mahmoud, S & Keppens, J 2017, 'Demonstration: Multi-agent system for distributed cache maintenance', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 364-368.
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Venkata, SK, Musial, K, Mahmoud, S & Keppens, J 2017, 'Multi-Agent System for Distributed Cache Maintenance', ADVANCES IN PRACTICAL APPLICATIONS OF CYBER-PHYSICAL MULTI-AGENT SYSTEMS: THE PAAMS COLLECTION, PAAMS 2017, 15th International Conference on Practical Applications of Agents and Multi-Agent Systems (PAAMS), SPRINGER INTERNATIONAL PUBLISHING AG, Porto, PORTUGAL, pp. 157-169.
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Verma, S, Liu, W, Wang, C & Zhu, L 2017, 'Extracting highly effective features for supervised learning via simultaneous tensor factorization', Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, AAAI Conference on Artificial Intelligence, AAAI, San Francisco, USA, pp. 4995-4996.
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Vitale, J, Johnston, B & Williams, MA 2017, 'Facial Motor Information is Sufficient for Identity Recognition', Proceedings of the 39th Annual Meeting of the Cognitive Science Society, The 39th Annual Meeting of the Cognitive Science Society, Cognitive Science Society, London, pp. 3447-3452.
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Vo, NNY & Xu, G 2017, 'The volatility of Bitcoin returns and its correlation to financial markets', Proceedings of 4th International Conference on Behavioral, Economic, and Socio-Cultural Computing (BESC 2017), Krakow, Poland, 16-18 October 2017, International Conference on Behavioral, Economic, Socio-cultural Computing, IEEE, Krakow, Poland.
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Wan, Y, He, XS & Luo, X 2017, 'A Comparison of Modified Evolutionary Computation Algorithms with Applications to Three-Dimensional Endoscopic Camera Motion Tracking', Proceedings of the 2017 IEEE International Conference on Image Processing (ICIP), IEEE International Conference on Image Processing, IEEE, Beijing, pp. 3840-3843.
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Wang, C, Wang, C, Xu, C & Tao, D 2017, 'Tag Disentangled Generative Adversarial Networks for object image re-rendering', IJCAI International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence Organization, Melbourne, Australia, pp. 2901-2907.
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Wang, D, Xu, G & Deng, S 2017, 'Music recommendation via heterogeneous information graph embedding', Proceedings of the 2017 International Joint Conference on Neural Networks, International Joint Conference on Neural Networks, IEEE, Anchorage, Alaska, USA, pp. 596-603.
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Wang, J, Huang, S, Zhao, L, Ge, X, He, X, Zhang, C & Wang, X 2017, 'High Quality 3D Reconstruction of Indoor Environments using RGB-D Sensors', Proceedings of the 2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA), IEEE 12th Conference on Industrial Electronics and Applications (ICIEA), IEEE, Siem Reap, Cambodia, pp. 1736-1741.
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Wang, S, Hu, L & Cao, L 2017, 'Perceiving the Next Choice with Comprehensive Transaction Embeddings for Online Recommendation', 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 Link, Skopje, Macedonia, pp. 285-302.
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Wang, Y, Xu, C, Xu, C & Tao, D 2017, 'Beyond filters: Compact feature map for portable deep model', 34th International Conference on Machine Learning, ICML 2017, International Conference on Machine Learning, PMLR, Sydney, Australia, pp. 5672-5680.
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Wang, Y, Xu, C, Xu, C & Tao, D 2017, 'Beyond RPCA: Flattening complex noise in the frequency domain', 31st AAAI Conference on Artificial Intelligence, AAAI 2017, AAAI Conference on Artificial Intelligence, AAAI, San Francisco, USA, pp. 2761-2767.
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Wang, Z & Piccardi, M 2017, 'Dissimilarity-based action recognition with the pair hidden Markov support vector machine', 2017 IEEE 19th International Workshop on Multimedia Signal Processing, IEEE International Workshop on Multimedia Signal Processing, IEEE, Luton, UK, pp. 1-6.
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Wang, Z, Du, B, Zhang, L, Zhang, L, Hu, R & Tao, D 2017, 'On gleaning knowledge from multiple domains for active learning', IJCAI International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence Organization, Melbourne, Australia, pp. 3013-3019.
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Wu, W, Li, B, Chen, L & Zhang, C 2017, 'Consistent Weighted Sampling Made More Practical', Proceedings of the 26th International Conference on World Wide Web, International World Wide Web Conference, ACM DL, Perth, Australia.
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Xia, H, Zhao, W, Zhou, Z, Jiang, F, Li, H & He, XS 2017, 'Deformable Template Matching Using Proposal-Based Best-Buddies Similarity', 2017 IEEE Trustcom/BigDataSE/ICESS, IEEE International Conference On Trust, Security And Privacy In Computing And Communications, IEEE, Sydney, pp. 517-521.
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Xin, JN, Du, X & Zhang, J 2017, 'Deep learning for robust outdoor vehicle visual tracking', Proceedings - IEEE International Conference on Multimedia and Expo, IEEE International Conference on Multimedia and Expo, IEEE, Hong Kong, China, pp. 613-618.
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Xiong, H & Tao, D 2017, 'A diversified generative latent variable model for WiFi-SLAM', 31st AAAI Conference on Artificial Intelligence, AAAI 2017, AAAI Conference on Artificial Intelligence, AAAI, San Francisco, USA, pp. 3841-3847.
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Xu, G, He, X & Butler, A 2017, 'What comes first the co-Authorship network or the citation?', 4th Multidisciplinary International Social Networks Conference, Multidisciplinary International Social Networks Conference, Association for Computing Machinery, Bangkok, Thailand.
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Xu, Y, Xu, C, Xu, C & Tao, D 2017, 'Multi-positive and unlabeled learning', IJCAI International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence Organization, Melbourne, Australia, pp. 3182-3188.
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Yang, E, Deng, C, Liu, W, Liu, X, Tao, D & Gao, X 2017, 'Pairwise relationship guided deep hashing for cross-modal retrieval', Proceedings of the 31st AAAI Conference on Artificial Intelligence, AAAI Conference on Artificial Intelligence, AAAI, San Francisco, USA, pp. 1618-1625.
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Yang, P, Liu, W & Yang, J 2017, 'Positive unlabeled learning via wrapper-based adaptive sampling', IJCAI International Joint Conference on Artificial Intelligence, pp. 3273-3279.
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Yao, L, Kusakunniran, W, Wu, Q, Zhang, J & Tang, Z 2017, 'Robust Gait Recognition under Unconstrained Environments using Hybrid Descriptions', Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications (DICTA), International Conference on Digital Image Computing: Techniques and Applications, IEEE, Sydney, Australia.
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You, S, Xu, C, Wang, Y, Xu, C & Tao, D 2017, 'Privileged multi-label learning', IJCAI International Joint Conference on Artificial Intelligence, pp. 3336-3342.
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You, S, Xu, C, Xu, C & Tao, D 2017, 'Learning from multiple teacher networks', Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, ACM, Halifax, NS, Canada, pp. 1285-1294.
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Yu, X, Liu, T, Wang, X & Tao, D 2017, 'On compressing deep models by low rank and sparse decomposition', Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition, IEEE, Honolulu, HI, USA, pp. 67-76.
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Yu, Z, Yu, J, Fan, J & Tao, D 2017, 'Multi-modal Factorized Bilinear Pooling with Co-attention Learning for Visual Question Answering', Proceedings of the IEEE International Conference on Computer Vision, IEEE International Conference on Computer Vision, IEEE, Venice, Italy, pp. 1839-1848.
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Yueqing, S, Lin, L, Zhongwei, X, Qing, X, Xin, L & Xu, G 2017, 'Co-training an Improved Recurrent Neural Network with Probability Statistic Models for Named Entity Recognition', Database Systems for Advanced Applications (LNCS), International Conference on Database Systems for Advanced Applications, Springer, Suzhou, China, pp. 545-555.
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Yuqiang, H, Wan, Y, Liang, C, Xu, G & Jian, W 2017, 'Exploiting Geographical Location for Team Formation in Social Coding Sites', PAKDD 2017: Advances in Knowledge Discovery and Data Mining, Pacific-Asia Conference on Knowledge Discovery and Data Mining, SpringerLink, Jeju Island, Korea, pp. 499-510.
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Zhang, D, Yin, J, Zhu, X & Zhang, C 2017, 'User Profile Preserving Social Network Embedding', International Joint Conferences on Artifical Intelligence 2017, Melbourne, Australia.
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Zhang, L, Zhang, Q, Du, B, Tao, D & You, J 2017, 'Robust manifold matrix factorization for joint clustering and feature extraction', 31st AAAI Conference on Artificial Intelligence, AAAI 2017, Conference on Artificial Intelligence, San Francisco, California USA, pp. 1662-1668.
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Zhang, L, Zhang, Q, Du, B, You, J & Tao, D 2017, 'Adaptive manifold regularized matrix factorization for data clustering', IJCAI International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence, International Joint Conferences on Artificial Intelligence Organization, Melbourne, Australia, pp. 3399-3405.
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Zhao, M, Zhang, J, Porikli, F, Zhang, C & Zhang, W 2017, 'Learning a perspective-embedded deconvolution network for crowd counting', 2017 IEEE International Conference on Multimedia and Expo (ICME), IEEE International Conference on Multimedia and Expo, IEEE, Hong Kong, China, pp. 403-408.
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Zheng, Y, Ghosh, S & Li, J 2017, 'An optimized drug similarity framework for side-effect prediction', Computing in Cardiology, Computing in Cardiology Conference, Rennes, France, pp. 1-4.
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Zhou, Z, Xu, G, Zhu, X & Liu, S 2017, 'Latent Factor Analysis for Low-dimensional Implicit Preference Prediction', International Conference on Behavioral, Economic, Socio-cultural Computing, IEEE, Poland, pp. 1-2.
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Zhou, Z, Xu, GUANGDONG, Zhu, W, Li, J & Zhang, W 2017, 'Structure embedding for knowledge base completion and analytics.', International Joint Conference on Neural Networks IJCNN 2017, IEEE, Anchorage, Alaska, USA.
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Zhu, D, Pang, N, Li, G & Liu, S 2017, 'NotiFi: Non-Invasive Abnormal Activity Detection Using Fine-grained WiFi Signals', Proceedings of the International Joint Conference on Neural Networks (IJCNN), International Joint Conference on Neural Networks, IEEE, Anchorage, Alaska, USA, pp. 1766-1773.
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Zhu, D, Pang, N, Li, G & Liu, S 2016, 'WiseFi: Activity Localization and Recognition on Commodity Off-the-shelf WiFi Devices', IEEE 18th International Conference on High Performance Computing and Communications; IEEE 14th International Conference on Smart City; IEEE 2nd International Conference on Data Science and Systems, IEEE, Sydney, Australia.
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Zuo, Y, Wu, Q & Zhang, J 2017, 'Minimum spanning forest with embedded edge inconsistency measurement for color-guided depth map upsampling', 2017 IEEE International Conference on Multimedia and Expo, IEEE, Hong Kong, China.
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Reports

Vitale, J, Tonkin, M, Ojha, S, Williams, M-A, Wang, X & Judge, W 2017, Privacy by Design in Machine Learning Data Collection: A User Experience Experimentation.
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Other

Aliyev, N & He, X 2017, 'Ambiguous market making', SSRN.

Aliyev, N & He, X 2017, 'Knightian Value of Information Part 1'.

Aliyev, N & He, X-Z 2017, 'Ambiguous Market Making'.
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Gudi, SLKC, ojha, S, clark, J, johnston, B & williams, M-A 2017, 'Fog Robotics: An Introduction'.
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He, X, Li, K & Shi, L 2017, 'Social interactions, stochastic volatility, and momentum', SSRN.

Wang, R & Tao, D 2017, 'Recent Progress in Image Deblurring'.
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