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Publications

Journal articles

Abdul Hanan, AH, Yazid Idris, M, Kaiwartya, O, Prasad, M & Ratn Shah, R 2017, 'Real traffic-data based evaluation of vehicular traffic environment and state-of-the-art with future issues in location-centric data dissemination for VANETs', Digital Communications and Networks, vol. 3, no. 3, pp. 195-210.
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Alaei, A, Pal, S, Pal, U & Blumenstein, M 2017, 'An Efficient Signature Verification Method Based on an Interval Symbolic Representation and a Fuzzy Similarity Measure', IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, vol. 12, no. 10, pp. 2360-2372.
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Chang, L, Li, W, Qin, L, Zhang, W & Yang, S 2017, 'PSCAN : Fast and Exact Structural Graph Clustering', IEEE Transactions on Knowledge and Data Engineering, vol. 29, no. 2, pp. 387-401.
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Chang, X & Yang, Y 2017, 'Semisupervised Feature Analysis by Mining Correlations Among Multiple Tasks', IEEE Transactions on Neural Networks and Learning Systems, vol. 28, no. 10, pp. 2294-2305.
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Chang, X, Ma, Z, Lin, M, Yang, Y & Hauptmann, AG 2017, 'Feature Interaction Augmented Sparse Learning for Fast Kinect Motion Detection', IEEE Transactions on Image Processing, vol. 26, no. 8, pp. 3911-3920.
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Chang, X, Ma, Z, Yang, Y, Zeng, Z & Hauptmann, AG 2017, 'Bi-level semantic representation analysis for multimedia event detection', IEEE Transactions on Cybernetics, vol. 47, no. 5, pp. 1180-1197.
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Chang, X, Yu, YL, Yang, Y & Xing, EP 2017, 'Semantic Pooling for Complex Event Analysis in Untrimmed Videos', IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 39, no. 8, pp. 1617-1632.
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Chen, H, Zhang, G, Zhu, D & Lu, J 2017, 'Topic-based technological forecasting based on patent data: A case study of Australian patents from 2000 to 2014', Technological Forecasting and Social Change, vol. 119, no. June 2017, pp. 39-52.
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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, 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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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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Davis, JJJ, Lin, CT, Gillett, G & Kozma, R 2017, 'An integrative approach to analyze eeg signals and human brain dynamics in different cognitive states', Journal of Artificial Intelligence and Soft Computing Research, vol. 7, no. 4, pp. 287-299.
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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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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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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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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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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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Han, J, Lu, J & Zhang, G 2017, 'Tri-level decision-making for decentralized vendor-managed inventory', Information Sciences, vol. 421, pp. 85-103.
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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, 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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Heng, J, Wang, J, Xiao, L & Lu, H 2017, 'Research and application of a combined model based on frequent pattern growth algorithm and multi-objective optimization for solar radiation forecasting', Applied Energy, vol. 208, pp. 845-866.
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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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Hu, C, Liu, X & Lu, J 2017, 'A bi-objective two-stage robust location model for waste-to-energy facilities under uncertainty', Decision Support Systems, vol. 99, pp. 37-50.
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Huang, Y, Zhu, D, Qian, Y, Zhang, Y, Porter, AL, Liu, Y & Guo, Y 2017, 'A hybrid method to trace technology evolution pathways: a case study of 3D printing', Scientometrics: an international journal for all quantitative aspects of the science of science, communication in science and science policy, vol. 111, no. 1, pp. 185-204.
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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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Jay, B & Vergara, J 2017, 'Conflicting accounts of λ-definability', Journal of Logical and Algebraic Methods in Programming, vol. 87, pp. 1-3.
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Jiang, D, Luo, X, Xuan, J & Xu, Z 2017, 'Sentiment computing for the news event based on the social media big data', IEEE Access, vol. 5, pp. 2373-2382.
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Kaiwartya, O, Prasad, M, Prakash, S, Samadhiya, D, Abdullah, AH & Rahman, SOA 2017, 'An investigation on biometric internet security', International Journal of Network Security, vol. 19, no. 2, pp. 167-176.
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Kaur, P, Goyal, M & Lu, J 2017, 'A Comparison of Bidding Strategies for Online Auctions Using Fuzzy Reasoning and Negotiation Decision Functions', IEEE Transactions on Fuzzy Systems, vol. 25, no. 2, pp. 425-438.
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Khakzad, N, Naderpour, M & Reniers, G 2017, 'A Markov chain approach to domino effects in chemical plants', Journal of safety, health & environmental research, vol. 13, no. 2, pp. 360-369.
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Khare, V, Shivakumara, P, Paramesran, R & Blumenstein, M 2017, 'Arbitrarily-oriented multi-lingual text detection in video', Multimedia Tools and Applications, vol. 76, no. 15, pp. 16625-16655.
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Ko, L-W, Komarov, O, Hairston, WD, Jung, T-P & Lin, C-T 2017, 'Sustained Attention in Real Classroom Settings: An EEG Study.', Frontiers in Human Neuroscience, vol. 11, pp. 1-10.
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Lai, L, Qin, L, Lin, X & Chang, L 2017, 'Scalable subgraph enumeration in MapReduce: a cost-oriented approach', VLDB Journal, vol. 26, no. 3, pp. 421-446.
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Le, X, Yan, Z & Xi, J 2017, 'A Collective Neurodynamic System for Distributed Optimization with Applications in Model Predictive Control', IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 1, no. 4, pp. 305-314.
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Li, C, Jiang, L, Li, H, Wu, J & Zhang, P 2017, 'Toward value difference metric with attribute weighting', Knowledge and Information Systems, vol. 50, no. 3, pp. 795-825.
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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, RH, Qin, L, Yu, JX & Mao, R 2017, 'Finding influential communities in massive networks', VLDB Journal, vol. 26, no. 6, pp. 751-776.
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Li, Z, Nie, F, Chang, X & Yang, Y 2017, 'Beyond Trace Ratio: Weighted Harmonic Mean of Trace Ratios for Multiclass Discriminant Analysis', IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, vol. 29, no. 10, pp. 2100-2110.
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Liang, C, Lin, CT, Yao, SN, Chang, WS, Liu, YC & Chen, SA 2017, 'Visual attention and association: An electroencephalography study in expert designers', Design Studies, vol. 48, pp. 76-95.
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Lin, C, Liu, Y-T, Wu, S-L, Cao, Z, Wang, Y, Huang, C-S, King, J-T, Chen, S-A, Lu, S-W & Chuang, C 2017, 'EEG-Based Brain-Computer Interfaces: A Novel Neurotechnology and Computational Intelligence Method', IEEE Systems Man and Cybernetics Magazine, vol. 3, no. 4, pp. 16-26.
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Lin, CT, Chuang, CH, Cao, Z, Singh, AK, Hung, CS, Yu, YH, Nascimben, M, Liu, YT, King, JT, Su, TP & Wang, SJ 2017, 'Forehead EEG in Support of Future Feasible Personal Healthcare Solutions: Sleep Management, Headache Prevention, and Depression Treatment', IEEE Access, vol. 5, pp. 10612-10621.
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Liu, W & Tsang, W 2017, 'Making Decision Trees Feasible in Ultrahigh Feature and Label Dimensions', Journal of Machine Learning Research.
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Liu, W, Luo, X, Xuan, J, Jiang, D & Xu, Z 2017, 'ASSOCIATION LINK NETWORK BASED SEMANTIC COHERENCE MEASUREMENT FOR SHORT TEXTS OF WEB EVENTS', JOURNAL OF WEB ENGINEERING, vol. 16, no. 1-2, pp. 39-62.

Liu, W, Tsang, W & Muller, K 2017, 'An Easy-to-hard Learning Paradigm for Multiple Classes and Multiple Labels', Journal of Machine Learning Research, vol. 18, no. 94, pp. 1-38.
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Liu, YH, Jung, TP, Lin, CT & Liao, LD 2017, 'Editorial Message: Special Issue on Fuzzy Brain–Computer Interface Systems', International Journal of Fuzzy Systems, vol. 19, no. 2, pp. 528-528.
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Liu, YT, Pal, NR, Marathe, AR, Wang, YK & Lin, CT 2017, 'Fuzzy decision-making fuser (FDMF) for integrating human-machine autonomous (HMA) systems with adaptive evidence sources', Frontiers in Neuroscience, vol. 11, pp. 1-10.
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Lu, J, Herrera, F & Zhang, G 2017, 'Guest Editorial Special Section on Fuzzy Systems in Data Science', IEEE Transactions on Fuzzy Systems, vol. 25, no. 6, pp. 1373-1375.
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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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Luo, M, Nie, F, Chang, X, Yang, Y, Hauptmann, AG & Zheng, Q 2017, 'Avoiding Optimal Mean ℓ2,1-Norm Maximization-Based Robust PCA for Reconstruction.', Neural Computation, vol. 29, no. 4, pp. 1124-1150.
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Ma, C, Tsang, IW, Peng, F & Liu, C 2017, 'Partial Hash Update via Hamming Subspace Learning', IEEE Transactions on Image Processing, vol. 26, no. 4, pp. 1939-1951.
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Ma, T, Zhang, Y, Huang, L, Shang, L, Wang, K, Yu, H & Zhu, D 2017, 'Text mining to gain technical intelligence for acquired target selection: A case study for China's Computer Numerical Control Machine Tools industry', Technological Forecasting and Social Change, vol. 116, pp. 162-180.
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Ma, W, Luo, X, Xuan, J, Xue, R & Guo, Y 2017, 'Discover semantic topics in patents within a specific domain', Journal of Web Engineering, vol. 16, no. 7-8, pp. 653-675.
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Ma, Z, Chang, X, Yang, Y, Sebe, N & Hauptmann, AG 2017, 'The Many Shades of Negativity', IEEE Transactions on Multimedia, vol. 19, no. 7, pp. 1558-1568.
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Mao, M, Lu, J, Zhang, G & Zhang, J 2017, 'Multirelational Social Recommendations via Multigraph Ranking', IEEE Transactions on Cybernetics, vol. 47, no. 12, pp. 4049-4061.
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Mao, Q, Wang, L & Tsang, IW 2017, 'A unified probabilistic framework for robust manifold learning and embedding', Machine Learning, vol. 106, no. 5, pp. 627-650.
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Mao, Q, Wang, L, Tsang, I & Sun, Y 2017, 'Principal Graph and Structure Learning Based on Reversed Graph Embedding', IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 39, no. 11, pp. 2227-2241.
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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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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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Narayan, N, Morenos, L, Phipson, B, Willis, SN, Brumatti, G, Eggers, S, Lalaoui, N, Brown, LM, Kosasih, HJ, Bartolo, RC, Zhou, L, Catchpoole, D, Saffery, R, Oshlack, A, Goodall, GJ & Ekert, PG 2017, 'Functionally distinct roles for different miR-155 expression levels through contrasting effects on gene expression, in acute myeloid leukaemia', Leukemia, vol. 31, no. 4, pp. 808-820.
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Nie, L, Wei, X, Zhang, D, Wang, X, Gao, Z & Yang, Y 2017, 'Data-Driven Answer Selection in Community QA Systems', IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, vol. 29, no. 6, pp. 1186-1198.
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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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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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Prasad, M, Lin, CT, Li, DL, Hong, CT, Ding, WP & Chang, JY 2017, 'Soft-Boosted Self-Constructing Neural Fuzzy Inference Network', IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans, vol. 47, no. 3, pp. 584-588.
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Prasad, M, Liu, YT, Li, DL, Lin, CT, Shah, RR & Kaiwartya, OP 2017, 'A new mechanism for data visualization with TSK-type preprocessed collaborative fuzzy rule based system', Journal of Artificial Intelligence and Soft Computing Research, vol. 7, no. 1, pp. 33-46.
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Pratama, M, Lu, J, Lughofer, E, Zhang, G & Er, MJ 2017, 'An Incremental Learning of Concept Drift Using Evolving Type-2 Recurrent Fuzzy Neural Network', IEEE Transactions on Fuzzy Systems, vol. 25, no. 5, pp. 1175-1192.
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Pratama, M, Zhang, G, Er, MJ & Anavatti, S 2017, 'An Incremental Type-2 Meta-Cognitive Extreme Learning Machine', IEEE Transactions on Cybernetics, vol. 47, no. 2, pp. 339-353.
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Ramezani, F, Lu, J, Taheri, J & Zomaya, AY 2017, 'A Multi-Objective Load Balancing System for Cloud Environments', The Computer Journal, vol. 60, no. 9, pp. 1316-1337.
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Saxena, A, Prasad, M, Gupta, A, Bharill, N, Patel, OP, Tiwari, A, Er, MJ, Ding, W & Lin, CT 2017, 'A review of clustering techniques and developments', Neurocomputing, vol. 267, pp. 664-681.
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Sharma, S, Puthal, D, Tazeen, S, Prasad, M & Zomaya, AY 2017, 'MSGR: A Mode-Switched Grid-Based Sustainable Routing Protocol for Wireless Sensor Networks', IEEE Access, vol. 5, pp. 19864-19875.
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Shivakumara, P, Wu, L, Lu, T, Tan, CL, Blumenstein, M & Anami, BS 2017, 'Fractals based multi-oriented text detection system for recognition in mobile video images', Pattern Recognition, vol. 68, pp. 158-174.
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Tsai, ZR, Chang, YZ, Zhang, HW & Lin, CT 2017, 'Relax the chaos-model-based human behavior by electrical stimulation therapy design', Computers in Human Behavior, vol. 67, pp. 151-160.
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Tsai, Z-R, Zhang, H-W & Lin, C-T 2017, 'A study on an energy consumption model correlated to abnormal behavior by contactless method', COMPUTERS IN HUMAN BEHAVIOR, vol. 74, pp. 53-62.
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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, Zhang, X, Guo, Z & Lu, H 2017, 'Developing an early-warning system for air quality prediction and assessment of cities in China', Expert Systems with Applications, vol. 84, pp. 102-116.
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Wang, JJY, Tsang, IWH, Cui, X, Lu, Z & Gao, X 2017, 'Multi-instance dictionary learning via multivariate performance measure optimization', Pattern Recognition, vol. 66, pp. 448-459.
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Wang, S, Li, X, Chang, X, Yao, L, Sheng, QZ & Long, G 2017, 'Learning multiple diagnosis codes for ICU patients with local disease correlation mining', ACM Transactions on Knowledge Discovery from Data, vol. 11, no. 3, pp. 1-21.
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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 & Wang, J 2017, 'Detecting glass in Simultaneous Localisation and Mapping', ROBOTICS AND AUTONOMOUS SYSTEMS, vol. 88, pp. 97-103.
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Wang, X, Liu, Y, Zhang, G, Xiong, F & Lu, J 2017, 'Diffusion-based recommendation with trust relations on tripartite graphs', JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT.
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Wang, X, Liu, Y, Zhang, G, Zhang, Y, Chen, H & Lu, J 2017, 'Mixed Similarity Diffusion for Recommendation on Bipartite Networks', IEEE Access, vol. 5, pp. 21029-21038.
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Wang, X, Qin, L, Lin, X, Zhang, Y & Chang, L 2017, 'Leveraging set relations in exact set similarity join', Proceedings of the VLDB Endowment, vol. 10, no. 9, pp. 925-936.
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Wang, X, Wang, Z, Huang, Y, Chen, Y, Zhang, Y, Ren, H, Li, R & Pang, J 2017, 'Measuring interdisciplinarity of a research system: detecting distinction between publication categories and citation categories', Scientometrics, vol. 111, no. 3, pp. 2023-2039.
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Wang, X, Zhang, W, Zhang, Y, Lin, X & Huang, Z 2017, 'Top-k spatial-keyword publish/subscribe over sliding window', The VLDB Journal, vol. 26, no. 3, pp. 301-326.
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Wang, X, Zhang, Y, Zhang, W & Lin, X 2017, 'Efficient Distance-Aware Influence Maximization in Geo-Social Networks', IEEE Transactions on Knowledge and Data Engineering, vol. 29, no. 3, pp. 599-612.
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Wang, X, Zhang, Y, Zhang, W, Lin, X & Chen, C 2017, 'Bring Order into the Samples: A Novel Scalable Method for Influence Maximization', IEEE Transactions on Knowledge and Data Engineering, vol. 29, no. 2, pp. 243-256.
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Wang, Y, Liu, F, Xia, ST & Wu, J 2017, 'Link sign prediction by Variational Bayesian Probabilistic Matrix Factorization with Student-t Prior', Information Sciences, vol. 405, pp. 175-189.
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Wang, Y, Xia, ST & Wu, J 2017, 'A less-greedy two-term Tsallis Entropy Information Metric approach for decision tree classification', Knowledge-Based Systems, vol. 120, pp. 34-42.
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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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Wen, D, Qin, L, Zhang, Y, Chang, L & Lin, X 2017, 'Efficient structural graph clustering: An index-based approach', Proceedings of the VLDB Endowment, vol. 11, no. 3, pp. 243-255.
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Wu, D, Lance, BJ, Lawhern, VJ, Gordon, S, Jung, TP & Lin, CT 2017, 'EEG-Based User Reaction Time Estimation Using Riemannian Geometry Features', IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 25, no. 11, pp. 2157-2168.
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Wu, D, Lawhern, VJ, Gordon, S, Lance, BJ & Lin, C-T 2017, 'Driver Drowsiness Estimation from EEG Signals Using Online Weighted Adaptation Regularization for Regression (OwARR)', IEEE Transactions on Fuzzy Systems, vol. 25, no. 6, pp. 1522-1535.
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Wu, F, Wang, Z, Lu, W, Li, X, Yang, Y, Luo, J & Zhuang, Y 2017, 'Regularized Deep Belief Network for Image Attribute Detection', IEEE Transactions on Circuits and Systems for Video Technology, vol. 27, no. 7, pp. 1464-1477.
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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, L, Wang, Y & Pan, S 2017, 'Exploiting Attribute Correlations: A Novel Trace Lasso-Based Weakly Supervised Dictionary Learning Method', IEEE Transactions on Cybernetics, vol. 47, no. 12, pp. 4497-4508.
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Wu, SL, Liu, YT, Hsieh, TY, Lin, YY, Chen, CY, Chuang, CH & Lin, CT 2017, 'Fuzzy Integral with Particle Swarm Optimization for a Motor-Imagery-Based Brain-Computer Interface', IEEE Transactions on Fuzzy Systems, vol. 25, no. 1, pp. 21-28.
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Wu, Y, Liao, LD, Pan, HC, He, L, Lin, CT & Tan, MC 2017, 'Fabrication and interfacial characteristics of surface modified Ag nanoparticle based conductive composites', RSC Advances, vol. 7, no. 47, pp. 29702-29712.
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Xu, D, Wu, J, Li, D, Tian, Y, Zhu, X & Wu, X 2017, 'SALE: Self-adaptive LSH encoding for multi-instance learning', Pattern Recognition, vol. 71, pp. 460-482.
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Xu, Z, Liu, Y, Xuan, J, Chen, H & Mei, L 2017, 'Crowdsourcing based social media data analysis of urban emergency events', MULTIMEDIA TOOLS AND APPLICATIONS, vol. 76, no. 9, pp. 11567-11584.
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Xu, Z, Xuan, J, Liu, Y, Choo, K-KR, Mei, L & Hu, C 2017, 'Building spatial temporal relation graph of concepts pair using web repository', INFORMATION SYSTEMS FRONTIERS, vol. 19, no. 5, pp. 1029-1038.
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Xu, Z, Zhang, H, Hu, C, Liu, Y, Xuan, J & Mei, L 2017, 'Crowdsourcing-based timeline description of urban emergency events using social media', INTERNATIONAL JOURNAL OF AD HOC AND UBIQUITOUS COMPUTING, vol. 25, no. 1-2, pp. 41-51.
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Xu, Z, Zhang, H, Hu, C, Liu, Y, Xuan, J & Mei, L 2017, 'Crowdsourcing-based timeline description of urban emergency events using social media', International Journal of Ad Hoc and Ubiquitous Computing, vol. 25, no. 1-2, pp. 41-51.
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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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Xuan, J, Luo, X, Lu, J & Zhang, G 2017, 'Explicitly and implicitly exploiting the hierarchical structure for mining website interests on news events', INFORMATION SCIENCES, vol. 420, pp. 263-277.
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Xue, S, Xiong, L, Lu, Z & Wu, J 2017, 'Graph-theoretic node importance mining in world city networks: methods and applications', Information Discovery and Delivery, vol. 45, no. 2, pp. 57-65.
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Yan, Z, Fan, J & Wang, J 2017, 'A Collective Neurodynamic Approach to Constrained Global Optimization', IEEE Transactions on Neural Networks and Learning Systems, vol. 28, no. 5, pp. 1206-1215.
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Yang, C, Zhu, D, Wang, X, Zhang, Y, Zhang, G & Lu, J 2017, 'Requirement-oriented core technological components’ identification based on SAO analysis', Scientometrics, vol. 112, no. 3, pp. 1229-1248.
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Yang, H, Jiang, Z & Lu, H 2017, 'A hybridwind speed forecasting system based on a 'decomposition and ensemble' strategy and fuzzy time series', Energies, vol. 10, no. 9, pp. 1-30.
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Yang, J, Zhang, W, Zhang, Y, Wang, X & Lin, X 2017, 'Categorical top-k spatial influence query', World Wide Web, vol. 20, no. 2, pp. 175-203.
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Yang, L, Cai, X, Pan, S, Dai, H & Mu, D 2017, 'Multi-document summarization based on sentence cluster using non-negative matrix factorization', Journal of Intelligent and Fuzzy Systems, vol. 33, no. 3, pp. 1867-1879.
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Yang, S, Cheema, MA, Lin, X, Zhang, Y & Zhang, W 2017, 'Reverse k nearest neighbors queries and spatial reverse top-k queries', The VLDB Journal, vol. 26, no. 2, pp. 151-176.
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Yao, SN, Lin, CT, King, JT, Liu, YC & Liang, C 2017, 'Learning in the visual association of novice and expert designers', Cognitive Systems Research, vol. 43, pp. 76-88.
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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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Yuan, L, Qin, L, Lin, X, Chang, L & Zhang, W 2017, 'Effective and Efficient Dynamic Graph Coloring', Proceedings of the VLDB Endowment, vol. 11, no. 3, pp. 338-351.
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Yuan, L, Qin, L, Lin, X, Chang, L & Zhang, W 2017, 'I/O efficient ECC graph decomposition via graph reduction', VLDB Journal, vol. 26, no. 2, pp. 275-300.
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Zhang, F, Zhang, W, Zhang, Y, Qin, L & Lin, X 2017, 'OLAK: An Efficient Algorithm to Prevent Unraveling in Social Networks', Proceedings of the VLDB Endowment, vol. 10, no. 6, pp. 649-660.
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Zhang, F, Zhang, Y, Qin, L, Zhang, W & Lin, X 2017, 'When Engagement Meets Similarity: Efficient (k, r)-Core Computation on Social Networks', Proceedings of the VLDB Endowment, vol. 10, no. 10, pp. 998-1009.
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Zhang, F, Zhang, Y, Qin, L, Zhang, W & Lin, X 2017, 'When Engagement Meets Similarity: Efficient (k, r)-Core Computation on Social Networks.', PVLDB, vol. 10, pp. 998-1009.
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Zhang, Q, Wu, D, Lu, J, Liu, F & Zhang, G 2017, 'A cross-domain recommender system with consistent information transfer', Decision Support Systems, vol. 104, pp. 49-63.
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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, 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, pp. 53-63.
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Zhang, Y 2017, 'Detecting and predicting the topic change of Knowledge-based Systems: A topic-based bibliometric analysis from 1991 to 2016', Knowledge-Based Systems, vol. 133, pp. 255-268.
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Zhang, Y, Porter, AL & Chiavetta, D 2017, 'Scientometrics for tech mining: an introduction', Scientometrics, vol. 111, no. 3, pp. 1875-1878.
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Zhang, Y, Qian, Y, Huang, Y, Guo, Y, Zhang, G & Lu, J 2017, 'An entropy-based indicator system for measuring the potential of patents in technological innovation: rejecting moderation', Scientometrics, vol. 111, no. 3, pp. 1925-1946.
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Zhang, Y, Wu, J, Zhou, C & Cai, Z 2017, 'Instance cloned extreme learning machine', Pattern Recognition, vol. 68, pp. 52-65.
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Zhang, Y, Zhang, G, Zhu, D & Lu, J 2017, 'Scientific evolutionary pathways: Identifying and visualizing relationships for scientific topics', Journal of the Association for Information Science and Technology, vol. 68, no. 8.
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Zhu, L, Xu, Z, Yang, Y & Hauptmann, AG 2017, 'Uncovering the Temporal Context for Video Question Answering', International Journal of Computer Vision, vol. 124, no. 3, pp. 409-421.
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Zhu, Y, Zhang, H, Qin, L & Cheng, H 2017, 'Efficient MapReduce algorithms for triangle listing in billion-scale graphs', Distributed and Parallel Databases, vol. 35, no. 2, pp. 149-176.
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Zhuang, Y, Wang, H, Xiao, J, Wu, F, Yang, Y, Lu, W & Zhang, Z 2017, 'Bag-of-Discriminative-Words (BoDW) Representation via Topic Modeling', IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, vol. 29, no. 5, pp. 977-990.
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Zuo, H, Zhang, G, Pedrycz, W, Behbood, V & Lu, J 2017, 'Fuzzy Regression Transfer Learning in Takagi-Sugeno Fuzzy Models', IEEE Transactions on Fuzzy Systems, vol. 25, no. 6, pp. 1795-1807.
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Conferences

Adak, C, Chaudhuri, BB & Blumenstein, M 2017, 'Impact of struck-out text on writer identification', Proceedings of the International Joint Conference on Neural Networks, International Joint Conference on Neural Networks, IEEE, Anchorage, AK, USA, pp. 1465-1471.
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Adak, C, Chaudhuri, BB & Blumenstein, M 2017, 'Legibility and Aesthetic Analysis of Handwriting', Proceedings of the International Conference on Document Analysis and Recognition, ICDAR, IAPR International Conference on Document Analysis and Recognition, IEEE, Kyoto, Japan, pp. 175-182.
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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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Alaei, F, Alaei, A, Blumenstein, M & Pal, U 2016, 'Document image retrieval based on texture features and similarity fusion', Proceedings of the International Conference Image and Vision Computing New Zealand, International Conference on Image and Vision Computing New Zealand, IEEE, Palmerston North, New Zealand, pp. 1-6.
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Alaei, F, Alaei, A, Pal, U & Blumenstein, M 2017, 'Fast local binary pattern: Application to document image retrieval', International Conference Image and Vision Computing New Zealand, International Conference Image and Vision Computing New Zealand, IEEE, Christchurch, New Zealand, pp. 1-6.
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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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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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Aravanis, TI & Peppas, P 2017, 'Belief revision in answer set programming', Proceedings of the 21st Pan-Hellenic Conference on Informatics, Pan-Hellenic Conference on Informatics, ACM, Larissa, Greece, pp. 1-5.
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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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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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Cao, Z, Prasad, M & Lin, CT 2017, 'Estimation of SSVEP-based EEG complexity using inherent fuzzy entropy', IEEE International Conference on Fuzzy Systems, IEEE International Conference on Fuzzy Systems, IEEE, Naples, Italy.
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Chai, J, Liu, W, Tsang, IW & Shen, X 2017, 'Compact multiple-instance learning', International Conference on Information and Knowledge Management, Proceedings, ACM International Conference on Information and Knowledge Management, ACM, Singapore, Singapore, pp. 2007-2010.
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Chang, L, Zhang, C, Lin, X & Qin, L 2017, 'Scalable Top-K structural diversity search', Proceedings - International Conference on Data Engineering, International Conference on Data Engineering, IEEE, San Diego, CA, USA, pp. 95-98.
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Chang, X, Yu, YL & Yang, Y 2017, 'Robust top-k multiclass SVM for visual category recognition', 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, Nova Scotia, Canada, pp. 75-83.
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Chang, YC, Wang, YK, Wu, D & Lin, CT 2017, 'Generating a fuzzy rule-based brain-state-drift detector by riemann-metric-based clustering', 2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017, IEEE International Conference on Systems, Man, and Cybernetics, IEEE, Banff, AB, Canada, pp. 1220-1225.
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Chantamit-O-Pas, P & Goyal, M 2017, 'Prediction of stroke using deep learning model', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), International Conference on Neural Information Processing, Springer, China, pp. 774-781.
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Chen, Z, Li, J, Chen, Z & You, X 2017, 'Generic pixel level object tracker using bi-channel fully convolutional network', Neural Information Processing (LNCS), International Conference on Neural Information Processing, Springer, Guangzhou, China, pp. 666-676.
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Cheng, EJ, Prasad, M, Puthal, D, Sharma, N, Prasad, OK, Chin, PH, Lin, CT & Blumenstein, M 2017, 'Deep Learning Based Face Recognition with Sparse Representation Classification', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 665-674.
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Chiu, CY, Singh, AK, Wang, YK, King, JT & Lin, CT 2017, 'A wireless steady state visually evoked potential-based BCI eating assistive system', Proceedings of the International Joint Conference on Neural Networks, International Joint Conference on Neural Networks, IEEE, Anchorage, AK, USA, pp. 3003-3007.
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Chou, KP, Li, DL, Prasad, M, Lin, CT & Lin, WC 2017, 'A method to enhance the deep learning in an aerial image', 2017 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2017 - Proceedings, International Symposium on Intelligent Signal Processing and Communication Systems, IEEE, Xiamen, China, pp. 724-728.
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Chou, KP, Li, DL, Prasad, M, Pratama, M, Su, SY, Lu, H, Lin, CT & Lin, WC 2017, 'Robust Facial Alignment for Face Recognition', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2017 International Conference on Neural Information Processing, Guangzhou, China, pp. 497-504.
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Chou, KP, Prasad, M, Gupta, D, Sankar, S, Xu, TW, Sundaram, S, Lin, CT & Lin, WC 2017, 'Block-based feature extraction model for early fire detection', 2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017 - Proceedings, IEEE Symposium Series on Computational Intelligence (SSCI), IEEE, Honolulu, HI, USA, pp. 1-6.
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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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Chou, KP, Prasad, M, Puthal, D, Chen, PH, Vishwakarma, DK, Sundarami, S, Lin, CT & Lin, WC 2017, 'Fast Deformable Model for Pedestrian Detection with Haar-like features', 2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017 - Proceedings, IEEE Symposium Series on Computational Intelligence, IEEE, Honolulu, HI, USA, pp. 1-8.
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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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Coluccia, A, Ghenescu, M, Piatrik, T, De Cubber, G, Schumann, A, Sommer, L, Klatte, J, Schuchert, T, Beyerer, J, Farhadi, M, Amandi, R, Aker, C, Kalkan, S, Saqib, M, Sharma, N, Makkah, SDK & Blumenstein, M 2017, 'Drone-vs-Bird detection challenge at IEEE AVSS2017', Proceedings of the 2017 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2017, IEEE International Conference on Advanced Video and Signal Based Surveillance, IEEE, Lecce, Italy, pp. 1-6.
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Das, A, Mondal, P, Pal, U, Blumenstein, M & Ferrer, MA 2017, 'Sclera vessel pattern synthesis based on a non-parametric texture synthesis technique', Advances in Intelligent Systems and Computing, International Conference on Computer Vision and Image Processing, Springer Link, pp. 241-250.
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Das, A, Pal, U, Ferrer, MA & Blumenstein, M 2017, 'A decision-level fusion strategy for multimodal ocular biometric in visible spectrum based on posterior probability', IEEE International Joint Conference on Biometrics, IJCB 2017, IEEE International Joint Conference on Biometrics, IEEE, Denver, CO, USA, pp. 794-798.
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Das, A, Pal, U, Ferrer, MA, Blumenstein, M, Štepec, D, Rot, P, Emeršič, Ž, Peer, P, Štruc, V, Kumar, SVA & Harish, BS 2017, 'SSERBC 2017: Sclera segmentation and eye recognition benchmarking competition', IEEE International Joint Conference on Biometrics, IJCB 2017, IEEE International Joint Conference on Biometrics, Denver, CO, USA, pp. 742-747.
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Das, A, Sengupta, A, Ferrer, MA, Pal, U & Blumenstein, M 2017, 'Linking face images captured from the optical phenomenon in the wild for forensic science', IEEE International Joint Conference on Biometrics, IJCB 2017, IEEE International Joint Conference on Biometrics, IEEE, Denver, CO, USA, pp. 781-786.
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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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Dong, F, Lu, J, Li, K & Zhang, G 2017, 'Concept Drift Region Identification via Competence-based Discrepancy Distribution Estimation', 12th International Conference on Intelligent Systems and Knowledge and Engineering, Nanjing, China.
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Dong, X, Huang, J, Yang, Y & Yan, S 2017, 'More is less: A more complicated network with less inference complexity', Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, IEEE Conference on Computer Vision and Pattern Recognition, IEEE, Honolulu, HI, USA, pp. 1895-1903.
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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, H, Chang, X, Cheng, D, Yang, Y, Xu, D & Hauptmann, AG 2017, 'Complex Event Detection by Identifying Reliable Shots from Untrimmed Videos', Proceedings of the IEEE International Conference on Computer Vision, International Conference on Computer Vision, IEEE, Venice, Italy, pp. 736-744.
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Fan, X, Sui, Y, Liao, X & Xue, J 2017, 'Boosting the precision of virtual call integrity protection with partial pointer analysis for C++', ISSTA 2017 - Proceedings of the 26th ACM SIGSOFT International Symposium on Software Testing and Analysis, ACM SIGSOFT International Symposium on Software Testing and Analysis, ACM, Santa Barbara, CA, USA, pp. 329-340.
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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, L, Wu, J, Zhou, C & Hu, Y 2017, 'Collaborative dynamic sparse topic regression with user profile evolution for item recommendation', 31st AAAI Conference on Artificial Intelligence, AAAI 2017, AAAI Conference on Artificial Intelligence, AAAI, San Francisco, USA, pp. 1316-1322.
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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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Gill, AQ, Behbood, V, Ramadan-Jradi, R & Beydoun, G 2017, 'IoT architectural concerns: a systematic review', Proceedings of the Second International Conference on Internet of things, Data and Cloud Computing, International Conference on Internet of things and Cloud Computing, ACM, Cambridge, United Kingdom, pp. 1-9.
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Gupta, D, Borah, P & Prasad, M 2017, 'A fuzzy based Lagrangian twin parametric-margin support vector machine (FLTPMSVM)', 2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017 - Proceedings, IEEE Symposium Series on Computational Intelligence, IEEE, Honolulu, HI, USA, pp. 1-7.
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Han, J, Wan, S, Lu, J & Zhang, G 2017, 'Tri-level multi-follower decision-making in a partial-cooperative situation', Proceedings of the 2017 12th International Conference on Intelligent Systems and Knowledge Engineering, ISKE 2017, International Conference on Intelligent Systems and Knowledge Engineering, IEEE, Nanjing, China, pp. 1-6.
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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, R, Pan, S, Jiang, J & Long, G 2017, 'Graph Ladder Networks for Network Classification', CIKM 2017: ACM International Conference on Information and Knowledge Management, ACM, pp. 2103-2106.
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Hu, R, Yu, CP, Fung, SF, Pan, S, Wang, H & Long, G 2017, 'Universal network representation for heterogeneous information networks', Proceedings of the International Joint Conference on Neural Networks, 2017 International Joint Conference on Neural Networks, IEEE, Anchorage, AK, USA, pp. 388-395.
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Huang, L, Miao, W, Zhang, Y, Yu, H & Wang, K 2017, 'Network community-based Technological cooperation identification', ISSI 2017 - 16th International Conference on Scientometrics and Informetrics, Conference Proceedings, pp. 1754-1765.
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Huang, L, Miao, W, Zhang, Y, Yu, H & Wang, K 2017, 'Patent network analysis for identifying technological evolution: A case study of China's artificial intelligence technologies', PICMET 2017 - Portland International Conference on Management of Engineering and Technology: Technology Management for the Interconnected World, Proceedings, Portland International Conference on Management of Engineering and Technology, IEEE, Portland, OR, USA, pp. 1-9.
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Huang, Y, Zhu, F, Guo, Y, Porter, AL, Zhang, Y & Zhu, D 2016, 'Exploring Technology evolution pathways to facilitate Technology management: A study of Dye-sensitized solar cells (DSSCs)', PICMET 2016 - Portland International Conference on Management of Engineering and Technology: Technology Management For Social Innovation, Proceedings, 2016 Portland International Conference on Management of Engineering and Technolog, IEEE, Honolulu, HI, USA, pp. 764-776.
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Huang, Z, Lin, X, Zhang, W & Zhang, Y 2017, 'Efficient matrix sketching over distributed data', Proceedings of the ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems, ACM, Chicago, Illinois, pp. 347-359.
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Hung, YC, Wang, YK, Prasad, M & Lin, CT 2017, 'Brain dynamic states analysis based on 3D convolutional neural network', Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017, IEEE International Conference on Systems, Man, and Cybernetics, IEEE, Banff, AB, Canada, pp. 222-227.
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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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Jiang, S, Zhang, C, Zhang, Y, Zhang, W, Lin, X, Cheema, MA & Wang, X 2017, 'DSKQ: A system for efficient processing of diversified spatial-keyword query', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Australasian Database Conference, Springer, Brisbane, QLD, Australia, pp. 280-284.
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Kovacs, R, Seufert, A, Wall, L, Chen, HT, Meinel, F, Müller, W, You, S, Brehm, M, Striebel, J, Kommana, Y, Popiak, A, Bläsius, T & Baudisch, P 2017, 'TrussFab: Fabricating sturdy large-scale structureson desktop 3D printers', Conference on Human Factors in Computing Systems - Proceedings, pp. 2606-2616.
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Kovacs, R, Seufert, A, Wall, LW, Chen, HT, Meinel, F, Müller, W, You, S, Kommana, Y & Baudisch, P 2017, 'Demonstrating trussFab: Fabricating sturdy large-scale structures on desktop 3D printers', Conference on Human Factors in Computing Systems - Proceedings, Conference on Human Factors in Computing Systems, Denver, Colarado, pp. 445-448.
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Kovacs, R, Wall, L, Seufert, A, Chen, HT, Müller, W, Meinel, F, Kommana, Y, Bläsius, T, Schneider, O, Roumen, T & Baudisch, P 2017, 'Demonstrating TrussFab's editor: Designing sturdy large-scale structures', UIST 2017 Adjunct - Adjunct Publication of the 30th Annual ACM Symposium on User Interface Software and Technology, pp. 43-45.
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Liu, A, Song, Y, Zhang, G & Lu, J 2017, 'Regional concept drift detection and density synchronized drift adaptation', IJCAI International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence Orgqanization, Melbourne, Australia, pp. 2280-2286.
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Liu, A, Zhang, G & Lu, J 2017, 'Fuzzy time windowing for gradual concept drift adaptation', IEEE International Conference on Fuzzy Systems, International Conference on Fuzzy Systems, IEEE, Naples, Italy, pp. 1-6.
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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, CY, Zhou, C, Wu, J, Xie, H, Hu, Y & Guo, L 2017, 'CPMF: A collective pairwise matrix factorization model for upcoming event recommendation', Proceedings of the International Joint Conference on Neural Networks, International Joint Conference on Neural Networks, IEEE, Anchorage, AK, USA, pp. 1532-1539.
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Liu, F, Zhang, G & Lu, J 2017, 'Heterogeneous unsupervised domain adaptation based on fuzzy feature fusion', IEEE International Conference on Fuzzy Systems, IEEE International Conference on Fuzzy Systems, IEEE, Naples, Italy, pp. 1-6.
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Liu, Q, Huang, H, Lu, J, Gao, Y & Zhang, G 2017, 'Enhanced Word Embedding Similarity Measures Using Fuzzy Rules for Query Expansion', 2017 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE), IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), IEEE, Naples, ITALY.
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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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Liu, W, Shen, X & Tsang, IW 2017, 'Sparse Embedded k-means Clustering', Advances in Neural Information Processing Systems, Thirty-first Annual Conference on Neural Information Processing Systems, Long Beach, California, USA, pp. 3320-3328.
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Liu, Z & Tsang, W 2017, 'Approximate Conditional Gradient Descent on Multi-Class Classification', AAAI Conference on Artificial Intelligence, AAAI, San Francisco, pp. 2301-2307.
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Liu, Z, Wang, Z, Zhang, L, Shah, RR, Xia, Y, Yang, Y & Li, X 2017, 'FastShrinkage: Perceptually-aware retargeting toward mobile platforms', MM 2017 - Proceedings of the 2017 ACM Multimedia Conference, ACM on Multimedia Conference, Association for Computing Machinery, Mountain View, California, USA, pp. 501-509.
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Lu, H, Heng, J & Wang, C 2017, 'An AI-Based Hybrid Forecasting Model for Wind Speed Forecasting', Neural Information Processing Part IV (LNCS), International Conference on Neural Information Processing, Springer, Guangzhou, China, pp. 221-230.
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Luo, M, Nie, F, Chang, X, Yang, Y, Hauptmann, A & Zheng, Q 2017, 'Probabilistic non-negative matrix factorization and its robust extensions for topic modeling', 31st AAAI Conference on Artificial Intelligence, AAAI 2017, Conference on Artificial Intelligence, San Francisco, California USA, pp. 2308-2314.
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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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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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Namvar, A, Ghazanfari, M & Naderpour, M 2017, 'A customer segmentation framework for targeted marketing in telecommunication', 2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE), 2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE), IEEE, China, pp. 1-6.
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Nascimben, M, Wang, YK, Singh, AK, King, JT & Lin, CT 2017, 'Influence of EEG tonic changes on Motor Imagery performance', International IEEE/EMBS Conference on Neural Engineering, NER, pp. 46-49.
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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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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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Padmanabha A G, A, Appaji M, A, Prasad, M, Lu, H & Joshi, S 2017, 'Classification of diabetic retinopathy using textural features in retinal color fundus image', Intelligent Systems and Knowledge Engineering (ISKE), 2017 12th International Conference on, International Conference on Intelligent Systems and Knowledge Engineering, IEEE, Nanjing, China, pp. 1-5.
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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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Pratama, M, Angelov, PP, Lu, J, Lughofer, E, Seera, M & Lim, CP 2017, 'A randomized neural network for data streams', Proceedings of the International Joint Conference on Neural Networks, International Joint Conference on Neural Networks, IEEE, Anchorage, AK, USA, pp. 3423-3430.
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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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R. Kridalukmana, H. Y. Lu & M. Naderpour 2017, 'An object oriented Bayesian network approach for unsafe driving maneuvers prevention system', 2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE), International Conference on Intelligent Systems and Knowledge Engineering, IEEE, Nanjing, China, pp. 1-6.
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Ramezani, F & Naderpour, M 2017, 'A fuzzy virtual machine workload prediction method for cloud environments', IEEE International Conference on Fuzzy Systems, IEEE, Naples, Italy.
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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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Reis, MDL, Fermé, E & Peppas, P 2017, 'Construction of system of spheres-based transitively relational partial meet multiple contractions: An impossibility result', IJCAI International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence, Melbourne, Australia, pp. 5045-5049.
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Saqib, M, Daud Khan, S, Sharma, N & Blumenstein, M 2017, 'A study on detecting drones using deep convolutional neural networks', Proceedings of the 2017 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2017, IEEE International Conference on Advanced Video and Signal Based Surveillance, IEEE, Lecce, Italy.
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Saqib, M, Khan, SD & Blumenstein, M 2016, 'Detecting dominant motion patterns in crowds of pedestrians', Proceedings of SPIE - The International Society for Optical Engineering, International Conference on Graphic and Image Processing, SPIE, Tokyo, Japan.
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Saqib, M, Khan, SD & Blumenstein, M 2016, 'Texture-based feature mining for crowd density estimation: A study', International Conference Image and Vision Computing New Zealand, International Conference on Image and Vision Computing New Zealand, IEEE, Palmerston North, New Zealand.
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Shang, D, Zhang, G & Lu, J 2017, 'Fast concept drift detection using singular vector decomposition', Proceedings of the 2017 12th International Conference on Intelligent Systems and Knowledge Engineering, ISKE 2017, International Conference on Intelligent Systems and Knowledge Engineering, IEEE, Nanjing, China, pp. 1-6.
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Shen, X, Liu, W, Tsang, W, Shen, F & Sun, Q 2017, 'Compressed K-Means for Large-Scale Clustering', Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, AAAI Conference on Artificial Intelligence, AAAI, San Francisco, USA, pp. 2527-2533.
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Siaminamini, M, Naderpour, M & Lu, J 2017, 'Generating a Risk Profile for Car Insurance Policyholders: A Deep Learning Conceptual Model', Australasian Conference on Information Systems, Australasian Conference on Information Systems, ACIS, Hobart, Australia, pp. 1-8.
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Singh, J, Prasad, M, Daraghmi, YA, Tiwari, P, Yadav, P, Bharill, N, Pratama, M & Saxena, A 2017, 'Fuzzy LogicHybrid model with semantic filtering approach for pseudo relevance feedback-based query expansion', 2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017 - Proceedings, Symposium Series on Computational Intelligence, IEEE, Honolulu, HI, USA, pp. 1-7.
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Sohaib, O & Naderpour, M 2017, 'Decision Making on Adoption of Cloud Computing in E-Commerce Using Fuzzy TOPSIS', Proceedings of 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), IEEE International Conference on Fuzzy Systems, IEEE, Naples, Italy.
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Sohaib, O, Lu, H & Hussain, W 2017, 'Internet of Things (IoT) in E-commerce: For People with Disabilities', 12th IEEE Conference on Industrial Electronics and Applications (ICIEA), IEEE Conference on Industrial Electronics and Applications, IEEE, Cambodia.
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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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Song, Y, Zhang, G, Lu, J & Lu, H 2017, 'A fuzzy kernel c-means clustering model for handling concept drift in regression', IEEE International Conference on Fuzzy Systems, International Conference on Fuzzy Systems, IEEE, Naples, Italy, pp. 1-6.
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Suwanwiwat, H, Das, A, Ferrer, MA, Pal, U & Blumenstein, M 2017, 'An Automatic Student Verification System Utilising Off-line Thai Name Components', 2017 International Conference on Digital Image Computing - Techniques and Applications, International Conference on Digital Image Computing - Techniques and Applications, IEEE, Sydney, Australia, pp. 826-831.
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Suwanwiwat, H, Pal, U & Blumenstein, M 2016, 'An investigation of novel combined features for a handwritten short answer assessment system', Proceedings of International Conference on Frontiers in Handwriting Recognition, ICFHR, International Conference on Frontiers in Handwriting Recognition, IEEE, pp. 102-107.
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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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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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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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Wang, B, Gao, Y, Sun, C, Blumenstein, M & La Salle, J 2017, 'Can Walking and Measuring along Chord Bunches Better Describe Leaf Shapes?', Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition, Honolulu, HI, USA, pp. 2047-2056.
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Wang, C, Pan, S, Long, G, Zhu, X & Jiang, J 2017, 'Mgae: Marginalized graph autoencoder for graph clustering', Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, ACM, pp. 889-898.
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Wang, G, Zhang, G, Choi, KS, Lam, KM & Lu, J 2017, 'An output-based knowledge transfer approach and its application in bladder cancer prediction', Proceedings of the International Joint Conference on Neural Networks, International Joint Conference on Neural Networks, IEEE, Anchorage, AK, USA, pp. 356-363.
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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, L, Mao, Q & Tsang, W 2017, 'Latent Smooth Skeleton Embedding', Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, AAAI Conference on Artificial Intelligence, AAAI, San Francisco, pp. 2703-2709.
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Wu, D, Sharma, N & Blumenstein, M 2017, 'Recent Advances in Video Based Human Action Recognition Using Deep Learning: A Review', Proceedings of the 2017 International Joint Conference on Neural Networks (IJCNN), International Joint Conference on Neural Networks, IEEE, Anchorage, Alaska, USA, pp. 2865-2872.
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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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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, Z, Zhu, L & Yang, Y 2017, 'Few-shot object recognition from machine-labeled web images', Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, Conference on Computer Vision and Pattern Recognition, IEEE, Honolulu, HI, USA, pp. 5358-5366.
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Yan, H, Sui, Y, Chen, S & Xue, J 2017, 'Machine-learning-guided typestate analysis for static use-After-free detection', Proceedings of the 33rd Annual Computer Security Applications Conference, Annual Computer Security Applications Conference, ACM, Orlando, FL, USA, pp. 42-54.
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Yan, Y, Yang, T, Yang, Y & Chen, J 2017, 'A Framework of Online Learning with Imbalanced Streaming Data', Proceedings of the Thirty-Firs AAAI Conference on Artificial Intelligence, AAAI Conference on Artificial Intelligence, AAAI, San Francisco, USA, pp. 2817-2823.
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Yang, G, Dai, Y, Zhao, H, Hirota, K & Lu, H 2017, 'Intelligent web-based experiment management system using multi-agent concept', Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Annual Conference of the IEEE Industrial Electronics Society, IEEE, Beijing, China, pp. 8508-8514.
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Yang, J, Zhang, W, Yang, S, Zhang, Y & Lin, X 2017, 'TT-Join: Efficient set containment join', Proceedings - International Conference on Data Engineering, International Conference on Data Engineering, IEEE, San Diego, CA, USA, pp. 509-520.
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Yang, Y 2017, 'A Dual-Network Progressive Approach to Weakly Supervised Object Detection', MM '17 Proceedings of the 2017 ACM on Multimedia Conference, ACM on Multimedia Conference, ACM, Mountain View, pp. 279-287.
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Yao, J, Zhang, Y, Tsang, I & Sun, J 2017, 'Discovering user interests from social images', MultiMedia Modeling (LNCS), International Conference on Multimedia Modeling, Springer, Reykjavik, Iceland, pp. 160-172.
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Yin, R, Li, K, Zhang, G & Lu, J 2017, 'Detecting overlapping protein complexes in dynamic protein-protein interaction networks by developing a fuzzy clustering algorithm', IEEE International Conference on Fuzzy Systems, IEEE International Conference on Fuzzy Systems, IEEE, Naples, Italy.
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Yu, H, Huang, L, Zhang, Y, Wang, K, Miao, W & Zhu, D 2017, 'Cooperation as a mediator variable between research fund and scientific Outputs: Evidence from NSFC-Guangdong Joint Fund', PICMET 2017 - Portland International Conference on Management of Engineering and Technology: Technology Management for the Interconnected World, Proceedings, Portland International Conference on Management of Engineering and Technology, IEEE, Portland, OR, USA, pp. 1-8.
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Yu, H, Lu, J & Zhang, G 2017, 'Learning a fuzzy decision tree from uncertain data', Proceedings of the 2017 12th International Conference on Intelligent Systems and Knowledge Engineering, ISKE 2017, International Conference on Intelligent Systems and Knowledge Engineering, IEEE, Piscataway, USA, pp. 1-7.
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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, F, Zhang, Y, Qin, L, Zhang, W & Lin, X 2017, 'Finding Critical Users for Social Network Engagement: The Collapsed k-Core Problem', Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, AAAI Conference on Artificial Intelligence, AAAI, San Francisco, USA, pp. 245-251.
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Zhang, H, Zhu, Y, Qin, L, Cheng, H & Yu, JX 2017, 'Efficient local clustering coefficient estimation in massive graphs', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Database Systems for Advanced Applications, China, pp. 371-386.
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Zhang, J, Sui, Y & Xue, J 2017, 'Incremental analysis for probabilistic programs', Static Analysis (LNCS), International Symposium on Static Analysis, Springer, New York, NY, USA, pp. 450-472.
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Zhang, Y, Huang, Y, Porter, AL, Zhang, G & Lu, J 2017, 'Discovering interactions in big data research: A learning-enhanced bibliometric study', PICMET 2017 - Portland International Conference on Management of Engineering and Technology: Technology Management for the Interconnected World, Proceedings, Portland International Conference on Management of Engineering and Technology, IEEE, Portland, OR, USA, pp. 1-12.
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Zhang, Y, Porter, A, Huang, Y & Guo, Y 2017, 'Validating the Earlier Analyses and Forecasting on Dye-Sensitized Solar Cells (DSSCs)', Portland International Conference on Management of Engineering and Technology, IEEE, Portland, OR, USA.
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Zhang, Y, Wu, J, Cai, Z & Jiang, S 2017, 'A Brain Network Inspired Algorithm: Pre-trained extreme learning machine', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), International Conference on Neural Information Processing, SpringerLink, Guangzhou, China, pp. 14-23.
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Zhang, Y, Yu, JX, Zhang, Y & Qin, L 2017, 'A fast order-based approach for core maintenance', Proceedings - International Conference on Data Engineering, International Conference on Data Engineering, IEEE, Piscataway, USA, pp. 337-348.
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Zheng, L, Zhang, H, Sun, S, Chandraker, M, Yang, Y & Tian, Q 2017, 'Person Re-identification in the Wild', Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), IEEE Conference on Computer Vision and Pattern Recognition, IEEE, Honolulu, HI, USA.
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Zheng, Z, Zheng, L & Yang, Y 2017, 'Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro', Proceedings 2017 IEEE International Conference on Computer Vision CCV 2017, 2017 IEEE International Conference on Computer Vision, IEEE, Venice, Italy.
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Zhu, F, Zhang, G, Lu, J & Zhu, D 2017, 'First-order causal process for causal modelling with instantaneous and cross-temporal relations', Proceedings of the International Joint Conference on Neural Networks, International Joint Conference on Neural Networks, IEEE, Anchorage, USA, pp. 380-387.
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Zhu, L, Xu, Z & Yang, Y 2017, 'Bidirectional multirate reconstruction for temporal modeling in videos', Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, IEEE Conference on Computer Vision and Pattern Recognition, IEEE, Honolulu, HI, USA, pp. 1339-1348.
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Zhu, Y, Li, Y, Liu, J, Qin, L & Yu, JX 2017, 'GMAlign: A new network aligner for revealing large conserved functional components', Proceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017, IEEE International Conference on Bioinformatics and Biomedicine, IEEE, Kansas City, MO, USA, pp. 120-127.
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Zuo, H, Zhang, G, Lu, J & Pedrycz, W 2017, 'Fuzzy Rule-based Transfer Learning for Label Space Adaptation', 2017 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE), IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), IEEE, Naples, ITALY.
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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.

Jay, B 2017, 'A Combinatory Account of Substitution'.

Jay, B 2017, 'Beyond Lambda-Calculus: Intensional Computation'.

Jay, B 2017, 'Deconstructing Lambda-Calculus'.

Jay, B 2017, 'Intensional-computation, repository of proofs in Coq'.

Jay, B 2017, 'Repository of proofs for L-calculus in Coq'.

Jay, B 2017, 'SF repository of proofs in Coq'.

Jay, B 2017, 'Typed LambdaFactor Calculus repository of proofs in Coq'.

Singh, AK, Chen, H-T, King, J-T & Lin, C-T 2017, 'Measuring Cognitive Conflict in Virtual Reality with Feedback-Related Negativity'.
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Xuan, J, Lu, J, Zhang, G & Xu, RYD 2017, 'Cooperative Hierarchical Dirichlet Processes: Superposition vs. Maximization'.
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