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Publications

Books

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

Dieci, R & He, XT 2018, 'Heterogeneous Agent Models in Finance' in Hommes, C & LeBaron, B (eds), Handbook of Computational Economics, Elsevier, pp. 257-328.
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Li, J, Chen, Z & Ma, Z 2018, 'Learning Colours from Textures by Effective Representation of Images' in Yurish, SY (ed), Advances in Signal Processing: Reviews, International Frequency Sensor Association (IFSA) Publishing, Spain, pp. 277-304.
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Song, K, Feng, S, Gao, W, Wang, D, Chen, L & Zhang, C 2018, 'Build emotion lexicon from microblogs by combining effects of seed words and emoticons in a heterogeneous graph' in Social Media Content Analysis: Natural Language Processing and Beyond, World Scientific, Singapore, pp. 171-195.
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Za'in, C, Pratama, M, Prasad, M, Puthal, D, Lim, CP & Seera, M 2018, 'Motor fault detection and diagnosis based on a meta-cognitive random vector functional link network' in Fault Diagnosis of Hybrid Dynamic and Complex Systems, Springer, Switzerland, pp. 15-44.
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Journal articles

Alshehri, MD, Hussain, F & Hussain, O 2018, 'Clustering-Driven Intelligent Trust Management Methodologyfor the Internet of Things (CITM-IoT)', Mobile Networks and Applications, vol. 23, no. 3, pp. 419-431.
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Anshar, M & Williams, MA 2018, 'Evolving robot empathy towards humans with motor disabilities through artificial pain generation', AIMS Neuroscience, vol. 5, no. 1, pp. 56-73.
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Bai, L, Wang, J, Ma, X & Lu, H 2018, 'Air Pollution Forecasts: An Overview.', International journal of environmental research and public health, vol. 15, no. 4.
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Bo Han, Tsang, IW, Ling Chen, Yu, CP & Sai-Fu Fung 2018, 'Progressive Stochastic Learning for Noisy Labels.', IEEE transactions on neural networks and learning systems, vol. 29, no. 10, pp. 5136-5148.
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Cai, X, Han, J, Li, W, Zhang, R, Pan, S & Yang, L 2018, 'A Three-Layered Mutually Reinforced Model for Personalized Citation Recommendation.', IEEE transactions on neural networks and learning systems, vol. 29, no. 12, pp. 6026-6037.
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Cai, X, Han, J, Pan, S & Yang, L 2018, 'Heterogeneous Information Network Embedding based Personalized Query-Focused Astronomy Reference Paper Recommendation', INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS, vol. 11, no. 1, pp. 591-599.
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Cao, Z & Lin, CT 2018, 'Inherent Fuzzy Entropy for the Improvement of EEG Complexity Evaluation', IEEE Transactions on Fuzzy Systems, vol. 26, no. 2, pp. 1032-1035.
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Cao, Z, Lai, K-L, Lin, C-T, Chuang, C-H, Chou, C-C & Wang, S-J 2018, 'Exploring resting-state EEG complexity before migraine attacks.', Cephalalgia: an international journal of headache, vol. 38, no. 7, pp. 1296-1306.
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Castro, J, Lu, J, Zhang, G, Dong, Y & Martinez, L 2018, 'Opinion Dynamics-Based Group Recommender Systems', IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 48, no. 12, pp. 2394-2406.
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Chi, L, Li, B, Zhu, X, Pan, S & Chen, L 2018, 'Hashing for Adaptive Real-Time Graph Stream Classification With Concept Drifts.', IEEE Transactions on Cybernetics, vol. 48, no. 5, pp. 1591-1604.
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Chikara, RK, Chang, EC, Lu, YC, Lin, DS, Lin, CT & Ko, LW 2018, 'Monetary reward and punishment to response inhibition modulate activation and synchronization within the inhibitory brain network', Frontiers in Human Neuroscience, vol. 12.
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Chotipant, S, Hussain, FK & Hussain, OK 2018, 'SERNOTATE: An automated approach for business service description annotation for efficient service retrieval and composition', Concurrency and Computation: Practice and Experience, vol. 30, no. 1.
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Chou, K-P, Prasad, M, Wu, D, Sharma, N, Li, D-L, Lin, Y-F, Blumenstein, M, Lin, W-C & Lin, C-T 2018, 'Robust Feature-Based Automated Multi-View Human Action Recognition System', IEEE ACCESS, vol. 6, pp. 15283-15296.
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Chuang, C-H, Cao, Z, King, J-T, Wu, B-S, Wang, Y-K & Lin, C-T 2018, 'Brain Electrodynamic and Hemodynamic Signatures Against Fatigue During Driving.', Frontiers in Neuroscience, vol. 12, pp. 1-12.
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Cruz, CG, Naderpour, M & Ramezani, F 2018, 'Water resource selection and optimisation for shale gas developments in Australia: A combinatorial approach', Computers & Industrial Engineering, vol. 124, pp. 1-11.
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Cui, L, Yue, L, Wen, D & Qin, L 2018, 'K-Connected Cores Computation in Large Dual Networks', Data Science and Engineering, vol. 3, no. 4, pp. 293-306.
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Dai, T, Gao, T, Zhu, L, Cai, X & Pan, S 2018, 'Low-Rank and Sparse Matrix Factorization for Scientific Paper Recommendation in Heterogeneous Network', IEEE ACCESS, vol. 6, pp. 59015-59030.
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Dai, T, Zhu, L, Cai, X, Pan, S & Yuan, S 2018, 'Explore semantic topics and author communities for citation recommendation in bipartite bibliographic network', Journal of Ambient Intelligence and Humanized Computing, vol. 9, no. 4, pp. 957-975.
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Das, A, Suwanwiwat, H, Ferrer, MA, Pal, U & Blumenstein, M 2018, 'Thai automatic signature verification system employing textural features', IET Biometrics, vol. 7, no. 6, pp. 615-627.
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Dawid, H, He, X-ZT & Semmler, W 2018, 'JEDC Special Issue in Honour of Prof Carl Chiarella', JOURNAL OF ECONOMIC DYNAMICS & CONTROL, vol. 91, pp. 1-6.
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Delgrande, JP, Peppas, P & Woltran, S 2018, 'General belief revision', Journal of the ACM, vol. 65, no. 5.
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Ding, W, Lin, CT & Prasad, M 2018, 'Hierarchical co-evolutionary clustering tree-based rough feature game equilibrium selection and its application in neonatal cerebral cortex MRI', Expert Systems with Applications, vol. 101, pp. 243-257.
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Ding, W, Lin, CT, Chen, S, Zhang, X & Hu, B 2018, 'Multiagent-consensus-MapReduce-based attribute reduction using co-evolutionary quantum PSO for big data applications', Neurocomputing, vol. 272, pp. 136-153.
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Ding, W, Lin, CT, Prasad, M, Cao, Z & Wang, JD 2018, 'A Layered-Coevolution-Based Attribute-Boosted Reduction Using Adaptive Quantum Behavior PSO and Its Consistent Segmentation for Neonates Brain Tissue', IEEE Transactions on Fuzzy Systems, vol. 26, no. 3.
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Dong, F, Lu, J, Zhang, G & Li, K 2018, 'Active fuzzy weighting ensemble for dealing with concept drift', International Journal of Computational Intelligence Systems, vol. 11, no. 1, pp. 438-450.
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Dong, F, Zhang, G, Lu, J & Li, K 2018, 'Fuzzy competence model drift detection for data-driven decision support systems', Knowledge-Based Systems, vol. 143, pp. 284-294.
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Du, X, Yin, H, Huang, Z, Yang, Y & Zhou, X 2018, 'Exploiting detected visual objects for frame-level video filtering', World Wide Web, vol. 21, no. 5, pp. 1259-1284.
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El-Sayed, H, Sankar, S, Daraghmi, Y-A, Tiwari, P, Rattagan, E, Mohanty, M, Puthal, D & Prasad, M 2018, 'Accurate Traffic Flow Prediction in Heterogeneous Vehicular Networks in an Intelligent Transport System Using a Supervised Non-Parametric Classifier.', Sensors (Basel, Switzerland), vol. 18, no. 6.
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El-Sayed, H, Sankar, S, Prasad, M, Puthal, D, Gupta, A, Mohanty, M & Lin, CT 2018, 'Edge of Things: The Big Picture on the Integration of Edge, IoT and the Cloud in a Distributed Computing Environment', IEEE Access, vol. 6, pp. 1706-1717.
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Fan, H, Zheng, L, Yan, C & Yang, Y 2018, 'Unsupervised Person Re-identification: Clustering and Fine-tuning', ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, vol. 14, no. 4.
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Fan, X, Zhao, J, Ren, F, Wang, Y, Feng, Y, Ding, L, Zhao, L, Shang, Y, Li, J, Ni, J, Jia, B, Liu, Y & Chang, Z 2018, 'Dimerization of p15RS mediated by a leucine zipper–like motif is critical for its inhibitory role on Wnt signaling', Journal of Biological Chemistry, vol. 293, no. 20, pp. 7618-7628.
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Feng, X, Chang, L, Lin, X, Qin, L, Zhang, W & Yuan, L 2018, 'Distributed computing connected components with linear communication cost', Distributed and Parallel Databases, vol. 36, no. 3, pp. 555-592.
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Fonseca, A, Kerick, S, King, J-T, Lin, C-T & Jung, T-P 2018, 'Brain Network Changes in Fatigued Drivers: A Longitudinal Study in a Real-World Environment Based on the Effective Connectivity Analysis and Actigraphy Data.', Frontiers in human neuroscience, vol. 12.
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Gao, W, Zhang, Q, Lu, Z, Wu, D & Du, X 2018, 'Modelling and application of fuzzy adaptive minimum spanning tree in tourism agglomeration area division', Knowledge-Based Systems, vol. 143, pp. 317-326.
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Gheisari, S, Catchpoole, DR, Charlton, A & Kennedy, PJ 2018, 'Convolutional Deep Belief Network with Feature Encoding for Classification of Neuroblastoma Histological Images.', Journal of Pathology Informatics, vol. 9, pp. 1-28.
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Gheisari, S, Catchpoole, DR, Charlton, A, Melegh, Z, Gradhand, E & Kennedy, PJ 2018, 'Computer Aided Classification of Neuroblastoma Histological Images Using Scale Invariant Feature Transform with Feature Encoding.', Diagnostics, vol. 8, no. 3, pp. 1-18.
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Goodswen, SJ, Kennedy, PJ & Ellis, JT 2018, 'A Gene-Based Positive Selection Detection Approach to Identify Vaccine Candidates Using Toxoplasma gondii as a Test Case Protozoan Pathogen.', Frontiers in Genetics, vol. 9.
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Guntuku, S, Zhou, J, Roy, S, Lin, W & Tsang, W 2018, 'Who likes What, and Why? Insights into Modeling Users' Personality based on Image `Likes'', IEEE Transactions on Affective Computing, vol. 9, no. 1, pp. 130-130.
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Han, B, Pan, Y & Tsang, IW 2018, 'Robust Plackett–Luce model for k-ary crowdsourced preferences', Machine Learning, vol. 107, no. 4, pp. 675-702.
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He, Q, Wang, J & Lu, H 2018, 'A hybrid system for short-term wind speed forecasting', Applied Energy, vol. 226, pp. 756-771.
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He, X, He, Z & Zhu, X 2018, 'Editorial Notes', Economic Modelling, vol. 71, pp. 316-317.
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He, XZ, Li, K & Li, Y 2018, 'Asset allocation with time series momentum and reversal', Journal of Economic Dynamics and Control, vol. 91, pp. 441-457.
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He, X-Z, Li, K & Wang, C 2018, 'Time-varying economic dominance in financial markets: A bistable dynamics approach.', Chaos, vol. 28, no. 5, pp. 1-19.
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Hou, Z, Wang, Y, Sui, Y, Gu, J, Zhao, T & Zhou, X 2018, 'Managing high-performance computing applications as an on-demand service on federated clouds', Computers and Electrical Engineering, vol. 67, pp. 579-595.
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Hu, C, Lu, J, Liu, X & Zhang, G 2018, 'Robust vehicle routing problem with hard time windows under demand and travel time uncertainty', COMPUTERS & OPERATIONS RESEARCH, vol. 94, pp. 139-153.
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Hu, Y, Zheng, L, Yang, Y & Huang, Y 2018, 'Twitter100k: A Real-World Dataset for Weakly Supervised Cross-Media Retrieval', IEEE Transactions on Multimedia, vol. 20, no. 4, pp. 927-938.
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Hussain, W & Hussain, F 2018, 'Comparing time series with machine learning-based prediction approaches for violation management in cloud SLAs', Future Generation Computer Systems.
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Hussain, W, Hussain, FK, Hussain, O, Bagia, R & Chang, E 2018, 'Risk-based framework for SLA violation abatement from the cloud service provider’s perspective', The Computer Journal, vol. 61, no. 9, pp. 1306-1322.
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Jay, B 2018, 'Self-Quotation in a Typed, Intensional Lambda-Calculus', Electronic Notes in Theoretical Computer Science, vol. 336, pp. 207-222.
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Jhang, JY, Lin, CJ, Lin, CT & Young, KY 2018, 'Navigation Control of Mobile Robots Using an Interval Type-2 Fuzzy Controller Based on Dynamic-group Particle Swarm Optimization', International Journal of Control, Automation and Systems, vol. 16, no. 5, pp. 2446-2457.
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Ji, S, Yu, CP, Fung, SF, Pan, S & Long, G 2018, 'Supervised learning for suicidal ideation detection in online user content', Complexity, vol. 2018.
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Jiang, L, Zhang, L, Li, C & Wu, J 2018, 'A Correlation-based Feature Weighting Filter for Naive Bayes', IEEE Transactions on Knowledge and Data Engineering, vol. 31, no. 2, pp. 201-213.
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Jiang, X, Pan, S, Long, G, Xiong, F, Jiang, J & Zhang, C 2018, 'Cost-sensitive parallel learning framework for insurance intelligence operation', IEEE Transactions on Industrial Electronics.
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Kaiwartya, O, Abdullah, AH, Cao, Y, Lloret, J, Kumar, S, Shah, RR, Prasad, M & Prakash, S 2018, 'Virtualization in Wireless Sensor Networks: Fault Tolerant Embedding for Internet of Things', IEEE Internet of Things Journal, vol. 5, no. 2, pp. 571-580.
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Kamyabniya, A, Lotfi, MM, Naderpour, M & Yih, Y 2018, 'Robust Platelet Logistics Planning in Disaster Relief Operations Under Uncertainty: a Coordinated Approach', Information Systems Frontiers, vol. 20, no. 4, pp. 759-782.
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Kang, G, Li, J & Tao, D 2018, 'Shakeout: A New Approach to Regularized Deep Neural Network Training', IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, vol. 40, no. 5, pp. 1245-1258.
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Kaur, P & Goyal, ML 2018, 'A Clustering Based approach to End Price prediction', International Journal of Computer Science and Information Security, vol. 16, no. 9, pp. 125-141.
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Kok, VC, Zhang, H-W, Lin, C-T, Huang, S-C & Wu, M-F 2018, 'Positive association between hypertension and urinary bladder cancer: epidemiologic evidence involving 79,236 propensity score-matched individuals.', Upsala journal of medical sciences, vol. 123, no. 2, pp. 109-115.
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Le, X, Chen, S, Yan, Z & Xi, J 2018, 'A Neurodynamic Approach to Distributed Optimization With Globally Coupled Constraints', IEEE Transactions on Cybernetics, vol. 48, no. 11.
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Lenka, RK, Rath, AK, Tan, Z, Sharma, S, Puthal, D, Simha, NVR, Prasad, M, Raja, R & Tripathi, SS 2018, 'Building Scalable Cyber-Physical-Social Networking Infrastructure Using IoT and Low Power Sensors', IEEE Access, vol. 6, pp. 30162-30173.
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Li, H, Wang, J, Lu, H & Guo, Z 2018, 'Research and application of a combined model based on variable weight for short term wind speed forecasting', RENEWABLE ENERGY, vol. 116, pp. 669-684.
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Li, Z, Nie, F, Chang, X, Nie, L, Zhang, H & Yang, Y 2018, 'Rank-Constrained Spectral Clustering With Flexible Embedding.', IEEE transactions on neural networks and learning systems, vol. 29, no. 12, pp. 6073-6082.
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Li, Z, Nie, F, Chang, X, Yang, Y, Zhang, C & Sebe, N 2018, 'Dynamic Affinity Graph Construction for Spectral Clustering Using Multiple Features.', IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 12, pp. 6323-6332.
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Lin, C-T, Chiu, T-C, Wang, Y-K, Chuang, C-H & Gramann, K 2018, 'Granger causal connectivity dissociates navigation networks that subserve allocentric and egocentric path integration.', Brain Research, vol. 1679, pp. 91-100.
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Lin, CT, Hsieh, TY, Liu, YT, Lin, YY, Fang, CN, Wang, YK, Yen, G, Pal, NR & Chuang, CH 2018, 'Minority Oversampling in Kernel Adaptive Subspaces for Class Imbalanced Datasets', IEEE Transactions on Knowledge and Data Engineering, vol. 30, no. 5, pp. 950-962.
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Lin, CT, King, JT, Fan, JW, Appaji, A & Prasad, M 2018, 'The Influence of Acute Stress on Brain Dynamics during Task Switching Activities', IEEE Access, vol. 6, pp. 3249-3255.
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Lin, CT, King, JT, Singh, AK, Prasad, M, Ma, Z, Lin, JW, Machado, AMC, Appaji, A & Gupta, A 2018, 'Voice Navigation Effects on Real-World Lane Change Driving Analysis using an Electroencephalogram', IEEE Access, vol. 6.
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Lin, CT, Nascimben, M, King, JT & Wang, YK 2018, 'Task-related EEG and HRV entropy factors under different real-world fatigue scenarios', Neurocomputing, vol. 311, pp. 24-31.
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Lin, CT, Prasad, M, Chung, CH, Puthal, D, El-Sayed, H, Sankar, S, Wang, YK, Singh, J & Sangaiah, AK 2018, 'IoT-Based Wireless Polysomnography Intelligent System for Sleep Monitoring', IEEE Access, vol. 6, pp. 405-414.
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Liu, A, Lu, J, Liu, F & Zhang, G 2018, 'Accumulating regional density dissimilarity for concept drift detection in data streams', Pattern Recognition, vol. 76, pp. 256-272.
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Liu, F, Lu, J & Zhang, G 2018, 'Unsupervised Heterogeneous Domain Adaptation via Shared Fuzzy Equivalence Relations', IEEE Transactions on Fuzzy Systems, vol. 26, no. 6, pp. 3555-3568.
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Liu, L, Zhou, T, Long, G, Jiang, J & Zhang, C 2018, 'MahiNet: A Neural Network for Many-Class Few-Shot Learning with Class Hierarchy'.

Liu, R, Wei, S, Zhao, Y & Yang, Y 2018, 'Indexing of the CNN features for the large scale image search', Multimedia Tools and Applications, vol. 77, no. 24, pp. 32107-32131.
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Liu, W, Chang, X, Yan, Y, Yang, Y & Hauptmann, AG 2018, 'Few-shot text and image classification via analogical transfer learning', ACM Transactions on Intelligent Systems and Technology, vol. 9, no. 6.
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Liu, YT, Pal, NR, Marathe, AR & Lin, CT 2018, 'Weighted Fuzzy Dempster-Shafer Framework for Multimodal Information Integration', IEEE Transactions on Fuzzy Systems, vol. 26, no. 1, pp. 338-352.
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Lu, J, Xuan, J, Zhang, G & Luo, X 2018, 'Structural property-aware multilayer network embedding for latent factor analysis', Pattern Recognition, vol. 76, pp. 228-241.
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Luo, M, Chang, X, Nie, L, Yang, Y, Hauptmann, AG & Zheng, Q 2018, 'An Adaptive Semisupervised Feature Analysis for Video Semantic Recognition', IEEE Transactions on Cybernetics, vol. 48, no. 2, pp. 648-660.
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Luo, M, Nie, F, Chang, X, Yang, Y, Hauptmann, AG & Zheng, Q 2018, 'Adaptive Unsupervised Feature Selection with Structure Regularization', IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 4, pp. 944-956.
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Ming, Y, Pelusi, D, Fang, CN, Prasad, M, Wang, YK, Wu, D & Lin, CT 2018, 'EEG data analysis with stacked differentiable neural computers', Neural Computing and Applications.
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Mirtalaie, MA, Hussain, OK, Chang, E & Hussain, FK 2018, 'Extracting sentiment knowledge from pros/cons product reviews: Discovering features along with the polarity strength of their associated opinions', Expert Systems with Applications, vol. 114, pp. 267-288.
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Naderpour, M & Khakzad, N 2018, 'Texas LPG fire: Domino effects triggered by natural hazards', Process Safety and Environmental Protection, vol. 116, pp. 354-364.
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Namvar, A, Siami, M, Rabhi, F & Naderpour, M 2018, 'Credit risk prediction in an imbalanced social lending environment', International Journal of Computational Intelligence Systems, vol. 11, no. 1, pp. 925-925.
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Nawaz, F, Janjua, NK, Hussain, OK, Hussain, FK, Chang, E & Saberi, M 2018, 'Event-driven approach for predictive and proactive management of SLA violations in the Cloud of Things', Future Generation Computer Systems, vol. 84, pp. 78-97.
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Niu, T, Wang, J, Lu, H & Du, P 2018, 'Uncertainty modeling for chaotic time series based on optimal multi-input multi-output architecture: Application to offshore wind speed', Energy Conversion and Management, vol. 156, pp. 597-617.
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Ojha, S, Williams, MA & Johnston, B 2018, 'The Essence of Ethical Reasoning in Robot-Emotion Processing', International Journal of Social Robotics, vol. 10, no. 2, pp. 211-223.
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Pan, Y, Han, B & Tsang, IW 2018, 'Stagewise learning for noisy k-ary preferences', Machine Learning, vol. 107, no. 8-10, pp. 1333-1361.
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Peng, H, Zheng, Y, Blumenstein, M, Tao, D & Li, J 2018, 'CRISPR/Cas9 cleavage efficiency regression through boosting algorithms and Markov sequence profiling', BIOINFORMATICS, vol. 34, no. 18, pp. 3069-3077.
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Puthal, D, Obaidat, MS, Nanda, P, Prasad, M, Mohanty, SP & Zomaya, AY 2018, 'Secure and Sustainable Load Balancing of Edge Data Centers in Fog Computing', IEEE Communications Magazine, vol. 56, no. 5, pp. 60-65.
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Saberi, M, Theobald, M, Hussain, OK, Chang, E & Hussain, FK 2018, 'Interactive feature selection for efficient customer recognition in contact centers: Dealing with common names', EXPERT SYSTEMS WITH APPLICATIONS, vol. 113, pp. 356-376.
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Shahsavari, M, Golpayegani, AH, Saberi, M & Hussain, FK 2018, 'Recruiting the K-most influential prospective workers for crowdsourcing platforms', Service Oriented Computing and Applications, vol. 12, no. 3-4, pp. 247-257.
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Shang, F, Zhou, K, Liu, H, Cheng, J, Tsang, I, Zhang, L, Tao, D & Licheng, J 2018, 'VR-SGD: A Simple Stochastic Variance Reduction Method for Machine Learning', IEEE Transactions on Knowledge and Data Engineering, vol. 2018.
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Shen, X, Liu, W, Tsang, IW, Sun, QS & Ong, YS 2018, 'Multilabel Prediction via Cross-View Search', IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 9, pp. 4324-4338.
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Singh, AK, Chen, HT, Cheng, YF, King, JT, Ko, LW, Gramann, K & Lin, CT 2018, 'Visual Appearance Modulates Prediction Error in Virtual Reality', IEEE Access, vol. 6, pp. 24617-24624.
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Song, J, Wang, J & Lu, H 2018, 'A novel combined model based on advanced optimization algorithm for short-term wind speed forecasting', Applied Energy, vol. 215, pp. 643-658.
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Stapelberg, NJC, Pratt, R, Neumann, DL, Shum, DHK, Brandis, S, Muthukkumarasamy, V, Stantic, B, Blumenstein, M & Headrick, JP 2018, 'From feedback loop transitions to biomarkers in the psycho-immune-neuroendocrine network: Detecting the critical transition from health to major depression', NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS, vol. 90, pp. 1-15.
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Stewart, RA, Nguyen, K, Beal, C, Zhang, H, Sahin, O, Bertone, E, Vieira, AS, Castelletti, A, Cominola, A, Giuliani, M, Giurco, D, Blumenstein, M, Turner, A, Liu, A, Kenway, S, Savić, DA, Makropoulos, C & Kossieris, P 2018, 'Integrated intelligent water-energy metering systems and informatics: Visioning a digital multi-utility service provider', Environmental Modelling and Software, vol. 105, pp. 94-117.
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Sui, Y & Xue, J 2018, 'Value-Flow-Based Demand-Driven Pointer Analysis for C and C++', IEEE Transactions on Software Engineering, vol. 14, no. 8.
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Sui, Y, Fan, X, Zhou, H & Xue, J 2018, 'Loop-Oriented Pointer Analysis for Automatic SIMD Vectorization', ACM TRANSACTIONS ON EMBEDDED COMPUTING SYSTEMS, vol. 17, no. 2.
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Sui, Y, Yan, H, Zheng, Z, Zhang, Y & Xue, J 2018, 'Parallel construction of interprocedural memory SSA form', Journal of Systems and Software, vol. 146, pp. 186-195.
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Wang, H, Wu, F, Lu, W, Yang, Y, Li, X, Li, X & Zhuang, Y 2018, 'Identifying Objective and Subjective Words via Topic Modeling', IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, vol. 29, no. 3, pp. 718-730.
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Wang, J, Du, P, Lu, H, Yang, W & Niu, T 2018, 'An improved grey model optimized by multi-objective ant lion optimization algorithm for annual electricity consumption forecasting', Applied Soft Computing Journal, vol. 72, pp. 321-337.
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Wang, J, Li, H & Lu, H 2018, 'Application of a novel early warning system based on fuzzy time series in urban air quality forecasting in China', Applied Soft Computing Journal, vol. 71, pp. 783-799.
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Wang, J, Niu, T, Lu, H, Guo, Z, Yang, W & Du, P 2018, 'An analysis-forecast system for uncertainty modeling of wind speed: A case study of large-scale wind farms', Applied Energy, vol. 211, pp. 492-512.
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Wang, T, Lu, J & Zhang, G 2018, 'Two-Stage Fuzzy Multiple Kernel Learning Based on Hilbert-Schmidt Independence Criterion', IEEE Transactions on Fuzzy Systems, vol. 26, no. 6, pp. 3703-3714.
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Wang, Y, Feng, C, Chen, L, Yin, H, Guo, C & Chu, Y 2018, 'User identity linkage across social networks via linked heterogeneous network embedding', World Wide Web, vol. 2018, pp. 1-22.
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Wang, Y, Xia, ST, Tang, Q, Wu, J & Zhu, X 2018, 'A Novel Consistent Random Forest Framework: Bernoulli Random Forests', IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 8.
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Wang, Y-K, Jung, T-P & Lin, C-T 2018, 'Theta and Alpha Oscillations in Attentional Interaction during Distracted Driving.', Frontiers in Behavioral Neuroscience, vol. 12, pp. 3-3.
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Wei, C-S, Lin, Y-P, Wang, Y-T, Lin, C-T & Jung, T-P 2018, 'A subject-transfer framework for obviating inter- and intra-subject variability in EEG-based drowsiness detection.', NeuroImage, vol. 174, pp. 407-419.
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Wei, C-S, Wang, Y-T, Lin, C-T & Jung, T-P 2018, 'Toward Drowsiness Detection Using Non-hair-Bearing EEG-Based Brain-Computer Interfaces.', IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society, vol. 26, no. 2, pp. 400-406.
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Wen, S, Xie, X, Yan, Z, Huang, T & Zeng, Z 2018, 'General memristor with applications in multilayer neural networks.', Neural networks : the official journal of the International Neural Network Society, vol. 103, pp. 142-149.
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Wu, D, King, JT, Chuang, CH, Lin, CT & Jung, TP 2018, 'Spatial Filtering for EEG-Based Regression Problems in Brain-Computer Interface (BCI)', IEEE Transactions on Fuzzy Systems, vol. 26, no. 2, pp. 771-781.
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Wu, J, Pan, S, Zhou, C, Li, G, He, W & Zhang, C 2018, 'Advances in Processing, Mining, and Learning Complex Data: From Foundations to Real-World Applications', COMPLEXITY.
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Wu, J, Pan, S, Zhu, X, Zhang, C & Wu, X 2018, 'Multi-instance learning with discriminative bag mapping', IEEE Transactions on Knowledge and Data Engineering, vol. 30, no. 6, pp. 1065-1080.
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Wu, J, Pan, S, Zhu, X, Zhang, C & Yu, PS 2018, 'Multiple Structure-View Learning for Graph Classification', IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 7, pp. 3236-3251.
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Wu, W, Li, B, Chen, L, Zhu, X & Zhang, C 2018, 'K-Ary Tree Hashing for Fast Graph Classification', IEEE Transactions on Knowledge and Data Engineering, vol. 30, no. 5, pp. 936-949.
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Xu, D, Tsang, IW & Zhang, Y 2018, 'Online Product Quantization', IEEE Transactions on Knowledge and Data Engineering, vol. 30, no. 11, pp. 2185-2198.
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Xuan, J, Lu, J, Yan, Z & Zhang, G 2018, 'Bayesian Deep Reinforcement Learning via Deep Kernel Learning', INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS, vol. 12, no. 1, pp. 164-171.
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Xuan, J, Lu, J, Zhang, G, Xu, RYD & Luo, X 2018, 'Doubly Nonparametric Sparse Nonnegative Matrix Factorization Based on Dependent Indian Buffet Processes', IEEE Transactions on Neural Networks and Learning Systems, pp. 1835-1849.
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Yan, Y, Wu, Q, Tan, M, Ng, MK, Min, H & Tsang, IW 2018, 'Online heterogeneous transfer by hedge ensemble of offline and online decisions', IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 7, pp. 3252-3263.
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Yang, J, Zhang, W, Yang, S, Zhang, Y, Lin, X & Yuan, L 2018, 'Efficient set containment join', VLDB Journal, vol. 27, no. 4, pp. 471-495.
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Yang, L, Zheng, Y, Cai, X, Pan, S & Dai, T 2018, 'Query-oriented citation recommendation based on network correlation', JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, vol. 35, no. 4, pp. 4621-4628.
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Yu, D, Xu, Z, Kao, Y & Lin, C-T 2018, 'The Structure and Citation Landscape of IEEE Transactions on Fuzzy Systems (1994–2015)', IEEE Transactions on Fuzzy Systems, vol. 26, no. 2, pp. 430-442.
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Yu, Q, Che, X, Ma, S, Pan, S, Yang, Y, Xing, W & Wang, X 2018, 'A Hybrid User Experience Evaluation Method for Mobile Games', IEEE Access, vol. 6, pp. 49067-49079.
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Yuan, L, Qin, L, Zhang, W, Chang, L & Yang, J 2018, 'Index-Based Densest Clique Percolation Community Search in Networks', IEEE Transactions on Knowledge and Data Engineering, vol. 30, no. 5, pp. 922-935.
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Zeng, X & Lu, J 2018, 'Decision Support Systems with Uncertainties in Big Data Environments', KNOWLEDGE-BASED SYSTEMS, vol. 143, pp. 327-327.
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Zeng, Z, Li, Z, Cheng, D, Zhang, H, Zhan, K & Yang, Y 2018, 'Two-Stream Multi-Rate Recurrent Neural Network for Video-Based Pedestrian Re-Identification', IEEE Transactions on Industrial Informatics.
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Zhang, Q, Wu, J, Zhang, Q, Zhang, P, Long, G & Zhang, C 2018, 'Dual influence embedded social recommendation', World Wide Web, vol. 21, no. 4, pp. 849-874.
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Zhang, S, Yang, Y, Xiao, J, Liu, X, Yang, Y, Xie, D & Zhuang, Y 2018, 'Fusing geometric features for skeleton-based action recognition using multilayer LSTM Networks', IEEE Transactions on Multimedia, vol. 20, no. 9, pp. 2330-2343.
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Zhang, Y, Lu, J, Liu, F, Liu, Q, Porter, A, Chen, H & Zhang, G 2018, 'Does deep learning help topic extraction? A kernel k-means clustering method with word embedding', Journal of Informetrics, vol. 12, no. 4, pp. 1099-1117.
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Zheng, L, Yang, Y & Tian, Q 2018, 'SIFT Meets CNN: A Decade Survey of Instance Retrieval', IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 40, no. 5, pp. 1224-1244.
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Zheng, L, Yang, Y & Zheng, Z 2018, 'A Discriminatively Learned CNN Embedding for Person Re-identification', ACM Transactions on Multimedia Computing, Communications and Applications, vol. 14, no. 1, pp. 1-20.
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Zheng, Y, Zhang, G, Zhang, Z & Lu, J 2018, 'A reducibility method for the weak linear bilevel programming problems and a case study in principal-agent', Information Sciences, vol. 454-455, pp. 46-58.
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Zhou, X, Mitkova, L, Zhang, Y, Huang, L, Cunningham, S, Shang, L, Yu, H & Wang, K 2018, 'Technology-driven mergers and acquisitions of Chinese acquirers: Development of a multi-dimensional framework for post-innovation performance', International Journal of Technology Management, vol. 78, no. 4, pp. 280-309.
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Zhu, Y, Li, Y, Liu, J, Qin, L & Yu, JX 2018, 'Discovering large conserved functional components in global network alignment by graph matching', BMC Genomics, vol. 19, no. S7, pp. 41-102.
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Zuo, H, Zhang, G, Pedrycz, W, Behbood, V & Lu, J 2018, 'Granular Fuzzy Regression Domain Adaptation in Takagi-Sugeno Fuzzy Models', IEEE Transactions on Fuzzy Systems, vol. 26, no. 2, pp. 847-858.
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Conferences

Adak, C, Chaudhuri, BB & Blumenstein, M 2018, 'A study on idiosyncratic handwriting with impact on writer identification', Proceedings of International Conference on Frontiers in Handwriting Recognition, ICFHR, International Conference on Frontiers in Handwriting Recognition, Niagara Falls, NY, USA, pp. 193-198.
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Adak, C, Chaudhuri, BB & Blumenstein, M 2018, 'Cognitive Analysis for Reading and Writing of Bengali Conjuncts', Proceedings of the International Joint Conference on Neural Networks, International Joint Conference on Neural Networks, IEEE, Rio de Janeiro, Brazil, pp. 1-7.
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Adak, C, Marinai, S, Chaudhuri, BB & Blumenstein, M 2018, 'Offline Bengali writer verification by PDF-CNN and siamese net', Proceedings - 13th IAPR International Workshop on Document Analysis Systems, DAS 2018, IAPR International Workshop on Document Analysis Systems, IEEE, Vienna, Austria, pp. 381-386.
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Agrawal, S & Williams, MA 2018, 'Would You Obey an Aggressive Robot: A Human-Robot Interaction Field Study', RO-MAN 2018 - 27th IEEE International Symposium on Robot and Human Interactive Communication, IEEE International Symposium on Robot and Human Interactive Communication, IEEE, Nanjing, China, pp. 240-246.
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Alaei, F, Alaei, A, Pal, U & Blumenstein, M 2018, 'Evaluation of GIST operator for document image retrieval', Proceedings - 13th IAPR International Workshop on Document Analysis Systems, DAS 2018, International Workshop on Document Analysis Systems, IEEE, Vienna, Austria, pp. 369-374.
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Almasoud, AS, Eljazzar, MM & Hussain, F 2018, 'Toward a Self-Learned Smart Contracts', Proceedings - 2018 IEEE 15th International Conference on e-Business Engineering, ICEBE 2018, IEEE International Conference on e-Business Engineering, IEEE, Xi'an, China, pp. 269-273.
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Alshehri, MD & Hussain, F 2017, 'A Centralized Trust Management Mechanism for the Internet of Things (CTM-IoT)', Advances on Broad-Band Wireless Computing, Communication and Applications, International Conference on Broad-Band Wireless Computing, Communication and Applications, Springer, Barcelona, Spain, pp. 533-543.
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Aravanis, T, Demiris, K & Peppas, P 2018, 'Legal reasoning in answer set programming', Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI, International Conference on Tools with Artificial Intelligence, IEEE, Volos, Greece, pp. 302-306.
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Aravanis, TI, Peppas, P & Williams, MA 2018, 'Iterated belief revision and dalal⇔s operator', ACM International Conference Proceeding Series.
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Badarinath, D, Chaitra, S, Bharill, N, Tanveer, M, Prasad, M, Suma, HN, Abhishek Appaji, M & Vinekar, A 2018, 'Study of Clinical Staging and Classification of Retinal Images for Retinopathy of Prematurity (ROP) Screening', Proceedings of the International Joint Conference on Neural Networks, International Joint Conference on Neural Networks, IEEE, Rio de Janeiro, Brazil, pp. 1-6.
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Barbar, M, Sui, Y, Zhang, H, Chen, S & Xue, J 2018, 'Live path CFI against control flow hijacking attacks', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 23rd Australasian Conference on Information Security and Privacy, Wollongong, Australia, pp. 768-779.
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Barbar, M, Sui, Y, Zhang, H, Chen, S & Xue, J 2018, 'Live path control flow integrity', Proceedings - International Conference on Software Engineering, International Conference on Software Engineering, Gothenburg, Sweden, pp. 195-196.
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Boroujeni, FR, Wang, S, Li, Z, West, N, Stantic, B, Yao, L & Long, G 2018, 'Trace Ratio Optimization with Feature Correlation Mining for Multiclass Discriminant Analysis', Thirty-Second AAAI Conference on Artificial Intelligence, AAAI Conference on Artificial Intelligence, AAI, New Orleans, USA, pp. 2746-2753.
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Braytee, A, Anaissi, A & Kennedy, PJ 2018, 'Sparse feature learning using ensemble model for highly-correlated high-dimensional data', Neural Information Processing (LNCS), International Conference on Neural Information Processing, Springer, Siem Reap, Cambodia, pp. 423-434.
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Cai, Y, Cai, Z, Zeng, M, Liu, X, Wu, J & Wang, G 2018, 'A Novel Deep Learning Approach: Stacked Evolutionary Auto-encoder', Proceedings of the International Joint Conference on Neural Networks, International Joint Conference on Neural Networks, IEEE, Rio de Janeiro, Brazil, pp. 1-8.
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Chang, X, Huang, PY, Shen, YD, Liang, X, Yang, Y & Hauptmann, AG 2018, 'RCAA: Relational context-aware agents for person search', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), European Conference on Computer Vision, Springer, Munich, Germany, pp. 86-102.
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Chantamit-O-Pas, P & Goyal, M 2016, 'A Case-Based Reasoning Framework for Prediction of Stroke', Advances in Intelligent Systems and Computing, International Congress on Information and Communication Technology, Bangkok, Thailand, pp. 219-227.
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Chantamit-o-Pas, P & Goyal, M 2018, 'Long Short-Term Memory Recurrent Neural Network for Stroke Prediction', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), International Conference on Machine Learning and Data Mining in Pattern Recognition, Springer Link, New York, NY, USA, pp. 312-323.
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Chen, W, Wang, S, Long, G, Yao, L, Sheng, QZ & Li, X 2018, 'Dynamic Illness Severity Prediction via Multi-task RNNs for Intensive Care Unit', 2018 IEEE International Conference on Data Mining (ICDM), International Conference on Data Mining, IEEE, Singapore, Singapore.
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Chen, Z, You, X & Li, J 2017, 'Learning to focus for object proposals', 2017 International Conference on Security, Pattern Analysis, and Cybernetics, SPAC 2017, International Conference on Security, Pattern Analysis, and Cybernetics, IEEE, Shenzhen, China, pp. 439-444.
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Chivukula, AS, Li, J & Liu, W 2018, 'Discovering granger-causal features from deep learning networks', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), The 31st Australasian Joint Conference on Artificial Intelligence, Wellington, New Zealand, pp. 692-705.
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Cui, L, Wang, C, Wu, J, Yang, J & Sheng, M 2018, 'Individual Interest and Trust Driving Collective Intelligence Awareness for Social Recommendation', Proceedings of the International Joint Conference on Neural Networks, International Joint Conference on Neural Networks, IEEE, Rio de Janeiro, Brazil.
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Dai, C, Wu, J, Pi, D & Cui, L 2018, 'Brain EEG time series selection: A novel graph-based approach for classification', SIAM International Conference on Data Mining, SDM 2018, SIAM International Conference on Data Mining, DBLP, San Diego, California, pp. 558-566.
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Dao, NHT, Daniel, J, Hutchinson, S & Naderpour, M 2017, 'Logistics and Supply Chain Management Investigation: A Case Study', Service Research and Innovation, Sixth Australasian Symposium on Service Research and Innovation, Springer International Publishing, Sydney, Australia, pp. 216-230.
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Das, A, Pal, U, Ferrer, MA, Blumenstein, M, Stepec, D, Rot, P, Emersic, Z, Peer, P & Struc, V 2018, 'SSBC 2018: Sclera segmentation benchmarking competition', Proceedings - 2018 International Conference on Biometrics, ICB 2018, International Conference on Biometrics, IEEE, Gold Coast, QLD, Australia, pp. 303-308.
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Das, A, Sengupta, A, Saqib, M, Pal, U & Blumenstein, M 2018, 'More Realistic and Efficient Face-Based Mobile Authentication using CNNs', Proceedings of the International Joint Conference on Neural Networks, International Joint Conference on Neural Networks, IEEE, Rio de Janeiro, Brazil, pp. 1-8.
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Delgrande, J & Peppas, P 2018, 'Incorporating Relevance in Epistemic States in Belief Revision', International Conference on Principles of Knowledge Representation and Reasoning, Tempe, USA.
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Deng, W, Zheng, L, Ye, Q, Kang, G, Yang, Y & Jiao, J 2018, 'Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification', 2018 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), Conference on Computer Vision and Pattern Recognition, IEEE, Salt Lake City, UT, pp. 994-1003.
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Dong, X, Yan, Y, Ouyang, W & Yang, Y 2018, 'Style Aggregated Network for Facial Landmark Detection', 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, Conference on Computer Vision and Pattern Recognition, IEEE, Salt Lake City, UT, USA.
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Dong, X, Yu, SI, Weng, X, Wei, SE, Yang, Y & Sheikh, Y 2018, 'Supervision-by-Registration: An Unsupervised Approach to Improve the Precision of Facial Landmark Detectors', Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, IEEE/CVF Conference on Computer Vision and Pattern Recognition, IEEE, Salt Lake City, UT, USA, pp. 360-368.
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Dong, X, Zhu, L, Zhang, D, Yang, Y & Wu, F 2018, 'Fast parameter adaptation for few-shot image captioning and visual question answering', MM 2018 - Proceedings of the 2018 ACM Multimedia Conference, pp. 54-62.
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Fan, H, Xu, Z, Zhu, L, Yan, C, Ge, J & Yang, Y 2018, 'Watching a small portion could be as good as watching all: Towards efficient video classification', IJCAI International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence, Stockholm, Sweden, pp. 705-711.
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Fu, L, Li, J, Zhou, L, Ma, Z, Liu, S, Lin, Z & Prasad, M 2018, 'Utilizing Information from Task-Independent Aspects via GAN-Assisted Knowledge Transfer', Proceedings of the International Joint Conference on Neural Networks, International Joint Conference on Neural Networks, IEEE, Rio de Janeiro, Brazil.
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Fu, M, Wong, CM, Zhu, H, Huang, Y, Li, Y, Zheng, X, Wu, J, Yang, J & Vong, CM 2018, 'DAlim: Machine learning based intelligent lucky money determination for large-scale E-commerce businesses', Service-Oriented Computing 16th International Conference, ICSOC 2018, Hangzhou, China, November 12-15, 2018, Proceedings (LNCS 11236), International Conference on Service-Oriented Computing, Springer, China, pp. 740-755.
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Gao, L, Yang, H, Wu, J, Zhou, C, Lu, W & Hu, Y 2019, 'Recommendation with multi-source heterogeneous information', IJCAI International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence, Stockholm, Sweden, pp. 3378-3384.
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Gao, L, Yang, H, Zhou, C, Wu, J, Pan, S & Hu, Y 2019, 'Active discriminative network representation learning', Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence, International Joint Conferences on Artificial Intelligenc, Stockholm, Sweden, pp. 2142-2148.
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Gao, Q, Ma, S, Shao, S, Sui, Y, Zhao, G, Ma, L, Ma, X, Duan, F, Deng, X, Zhang, S & Chen, X 2018, 'CoBOT: Static C/C++ bug detection in the presence of incomplete code', Proceedings of the 26th Conference on Program Comprehension, International Conference on Program Comprehension, ACM, Gothenburg, Sweden, pp. 385-388.
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Ghafouri, M, Wang, X, Yuan, L, Zhang, Y & Lin, X 2018, 'Maintaining boolean Top-K spatial temporal results in publish-subscribe systems', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Australasian Database Conference, Springer, Gold Coast, QLD, Australia, pp. 147-160.
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Gheisari, S, Catchpoole, DR, Charlton, A & Kennedy, PJ 2018, 'Patched completed local binary pattern is an effective method for neuroblastoma histological image classification', Communications in Computer and Information Science, Australasian Conference on Data Mining, Bathurst, NSW, Australia, pp. 57-71.
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Han, B, Yao, J, Niu, G, Zhou, M, Tsang, IW, Zhang, Y & Sugiyama, M 2018, 'Masking: A new perspective of noisy supervision', Advances in Neural Information Processing Systems, Annual Conference on Neural Information Processing Systems, Montréal, Canada, pp. 5836-5846.
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Han, B, Yao, Q, Yu, X, Niu, G, Xu, M, Hu, W, Tsang, IW & Sugiyama, M 2018, 'Co-teaching: Robust training of deep neural networks with extremely noisy labels', Advances in Neural Information Processing Systems, International Workshop on Symbolic-Neural Learning, Toyota Technological Institute at Chicago, Nagoya, Japan, pp. 8527-8537.
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Hayati, H, Walker, P, Brown, T, Kennedy, P & Eager, D 2018, 'A simple spring-loaded inverted pendulum (SLIP) model of a bio-inspired quadrupedal robot over compliant terrains', Proceedings of the ASME 2018 International Mechanical Engineering Congress and Exposition IMECE2018, International Mechanical Engineering Congress and Exposition, ASME, USA.
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He, Y, Kang, G, Dong, X, Fu, Y & Yang, Y 2019, 'Soft filter pruning for accelerating deep convolutional neural networks', IJCAI International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence, Stockholm, Sweden, pp. 2234-2240.
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Herse, S, Vitale, J, Ebrahimian, D, Tonkin, M, Ojha, S, Sidra, S, Johnston, B, Phillips, S, Gudi, SLKC, Clark, J, Judge, W & Williams, MA 2018, 'Bon Appetit! Robot Persuasion for Food Recommendation', ACM/IEEE International Conference on Human-Robot Interaction, ACM/IEEE International Conference on Human-Robot Interaction, ACM, Chicago, USA, pp. 125-126.
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Herse, S, Vitale, J, Tonkin, M, Ebrahimian, D, Ojha, S, Johnston, B, Judge, W & Williams, MA 2018, 'Do You Trust Me, Blindly? Factors Influencing Trust Towards a Robot Recommender System', RO-MAN 2018 The 27th IEEE International Symposium on Robot and Human Interactive Communication, IEEE International Symposium on Robot and Human Interactive Communication., IEEE, China, pp. 7-14.
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Huang, L, Jia, X, Zhang, Y, Zhou, X & Zhu, Y 2018, 'Detecting Hotspots in Interdisciplinary Research Based on Overlapping Community Detection', Portland International Conference on Management of Engineering and Technology, Portland, USA.
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Huang, L, Zhu, Y, Zhang, Y, Zhou, X & Jia, X 2018, 'A Link Prediction-Based Method for Identifying Potential Cooperation Partners: A Case Study on Four Journals of Informetrics', Portland International Conference on Management of Engineering and Technology, Portland, USA.
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Hussain, F, Mirtalaie, MA, Hussain, OK & Chang, E 2017, 'Sentiment Analysis of Specific Product's Features Using Product Tree for Application in New Product Development', Advances in Intelligent Networking and Collaborative Systems The 9th International Conference on Intelligent Networking and Collaborative Systems, International Conference on Intelligent Networking and Collaborative Systems, Springer, Toronto, CANADA, pp. 82-95.
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Jay, B 2018, 'Recursive Programs in Normal Form (Short Paper)', Proceedings of the ACM SIGPLAN Workshop on Partial Evaluation and Program Manipulation, ACM SIGPLAN Workshop on Partial Evaluation and Program Manipulation, ACM, Los Angeles, CA, USA, pp. 67-73.
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Jhang, JY, Lee, CL, Lin, CJ, Lin, CT & Young, KY 2017, 'Using AdaBoost-based Multiple Functional Neural Fuzzy Classifiers Fusion for Classification Applications', MATEC Web of Conferences, International Conference on Inventions, Sun Moon Lake, Taiwan.
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Ji, S, Pan, S, Long, G, Li, X, Jiang, J & Huang, Z 2018, 'Learning Private Neural Language Modeling with Attentive Aggregation', arXiv preprint arXiv:1812.07108.

Jiang, X, Pan, S, Jiang, J & Long, G 2018, 'Cross-domain deep learning approach for multiple financial market prediction', 2018 International Joint Conference on Neural Networks (IJCNN), International Joint Conference on Neural Networks, IEEE, Rio de Janeiro, Brazil, pp. 1-8.
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Jiang, X, Pan, S, Long, G, Chang, J, Jiang, J & Zhang, C 2018, 'Cost-sensitive hybrid neural networks for heterogeneous and imbalanced data', 2018 International Joint Conference on Neural Networks (IJCNN), International Joint Conference on Neural Networks, IEEE, Rio de Janeiro, Brazil, pp. 1-8.
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Kang, G, Zheng, L, Yan, Y & Yang, Y 2018, 'Deep Adversarial Attention Alignment for Unsupervised Domain Adaptation: The Benefit of Target Expectation Maximization', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), European Conference on Computer Vision, Springer Link, Munich, Germany, pp. 420-436.
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Krishna Chand Gudi, SL, Ojha, S, Johnston, B, Clark, J & Williams, MA 2018, 'Fog robotics for efficient, fluent and robust human-robot interaction', NCA 2018 - 2018 IEEE 17th International Symposium on Network Computing and Applications, International Symposium on Network Computing and Applications, IEEE, Cambridge, MA, USA.
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Li, M, Puthal, D, Yang, C, Luo, Y, Zhang, J & Li, J 2018, 'Stock market analysis using social networks', Proceedings of the Australasian Computer Science Week Multiconference, Australasian Computer Science Week Multiconference, ACM, Brisbane, Queensland, Australia.
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Li, M, Zhang, Y, Sun, Y, Wang, W, Tsang, IW & Lin, X 2018, 'An efficient exact nearest neighbor search by compounded embedding', Database Systems for Advanced Applications (LNCS), International Conference on Database Systems for Advanced Applications, Springer, Gold Coast, QLD, Australia, pp. 37-54.
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Li, RH, Qin, L, Ye, F, Yu, JX, Xiaokui, X, Xiao, N & Zheng, Z 2018, 'Skyline community search in multi-valued networks', Proceedings of the ACM SIGMOD International Conference on Management of Data, pp. 457-472.
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Li, W, Qiao, M, Qin, L, Zhang, Y, Chang, L & Lin, X 2018, 'Exacting Eccentricity for Small-World Networks', 2018 IEEE 34th International Conference on Data Engineering (ICDE), International Conference on Data Engineering, IEEE, Paris, France, pp. 785-796.
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Li, Z, Nie, F, Chang, X, Ma, Z & Yang, Y 2018, 'Balanced clustering via exclusive lasso: A pragmatic approach', 32nd AAAI Conference on Artificial Intelligence, AAAI 2018, AAAI Conference on Artificial Intelligence, AAAI, New Orleans, USA, pp. 3596-3603.
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Lian, D, Zheng, K, Cao, L, Zheng, VW, Tsang, IW, Ge, Y & Xie, X 2018, 'High-order proximity preserving information network hashing', Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, International Conference on Knowledge Discovery & Data Mining, ACM, London, United Kingdom, pp. 1744-1753.
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Lin, A, Li, J, Zhang, L, Ma, Z & Luo, W 2018, 'Multiple-task learning and knowledge transfer using generative adversarial capsule nets', AI 2018: Advances in Artificial Intelligence (LNAI), Australasian Joint Conference on Artificial Intelligence, Springer, Wellington, New Zealand, pp. 669-680.
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Lin, A, Li, J, Zhang, L, Shi, L & Ma, Z 2018, 'A new family of generative adversarial nets using heterogeneous noise to model complex distributions', AI 2018: AI 2018: Advances in Artificial Intelligence LNAI, Australasian Joint Conference on Artificial Intelligence, Springer, Wellington, New Zealand, pp. 706-717.
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Liu, C, Chen, L, Tsang, I & Yin, H 2018, 'Towards the Learning of Weighted Multi-label Associative Classifiers', Proceedings of the International Joint Conference on Neural Networks, International Joint Conference on Neural Networks, IEEE, Rio de Janeiro, Brazil, pp. 1-7.
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Liu, CY, Zhou, C, Wu, J, Hu, Y & Guo, L 2018, 'Social recommendation with an essential preference space', 32nd AAAI Conference on Artificial Intelligence, AAAI 2018, AAAI Conference on Artificial Intelligence, AAAI, New Orleans, USA, pp. 346-353.
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Liu, F, Zhang, G & Lu, J 2018, 'Unconstrained fuzzy feature fusion for heterogeneous unsupervised domain adaptation', 2018 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE), International Conference on Fuzzy Systems, IEEE, Rio de Janeiro, BRAZIL.
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Liu, Q, Huang, H, Zhang, G, Gao, Y, Xuan, J & Lu, J 2018, 'Semantic structure-based word embedding by incorporating concept convergence and word divergence', 32nd AAAI Conference on Artificial Intelligence, AAAI 2018, pp. 5261-5268.
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Liu, W, Chang, X, Chen, L & Yang, Y 2018, 'Semi-supervised Bayesian attribute learning for person re-identification', Thirty-Second AAAI Conference on Artificial Intelligence, AAAI, New Orleans, Louisiana, USA.
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Liu, W, Chang, X, Chen, L & Yang, Y 2018, 'Semi-supervised Joint Learning of Representation and Relation for Person Re-identification', AAAI Conference on Artificial Intelligence, Louisiana, USA.

Liu, W, Liu, Z, Tsang, IW, Zhang, W & Lin, X 2018, 'Doubly approximate nearest neighbor classification', 32nd AAAI Conference on Artificial Intelligence, AAAI 2018, AAAI Conference on Artificial Intelligence, AAAI, New Orleans, USA, pp. 3683-3690.
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Lu, J 2018, 'Conference Report on IEEE Computational Intelligence Society ExCom Workshop 2018', IEEE Computational Intelligence Magazine, Institute of Electrical and Electronics Engineers, Ultimo, Australia, pp. 5-7.
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Luo, Y, Zheng, Z, Zheng, L, Guan, T, Yu, J & Yang, Y 2018, 'Macro-micro adversarial network for human parsing', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), European Conference on Computer Vision 2018, Munich, Germany, pp. 424-440.
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Ma, S, Zhang, L, Hu, W, Zhang, Y, Wu, J & Li, X 2018, 'Self-representative manifold concept factorization with adaptive neighbors for clustering', IJCAI International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence, Stockholm, Sweden, pp. 2539-2545.
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Mahdavi, F, Hossain, MI, Hayati, H, Eager, D & Kennedy, P 2018, 'Track Shape, Resulting Dynamics and Injury Rates of Greyhounds', Volume 13: Design, Reliability, Safety, and Risk, International Mechanical Engineering Congress and Exposition, ASME, Pittsburgh, Pennsylvania, USA.
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Ming, Y, Wang, YK, Prasad, M, Wu, D & Lin, CT 2018, 'Sustained Attention Driving Task Analysis based on Recurrent Residual Neural Network using EEG Data', 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), IEEE International Conference on Fuzzy Systems, IEEE, Rio de Janeiro, Brazil, pp. 1-6.
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Namvar, A & Naderpour, M 2018, 'Handling Uncertainty in Social Lending Credit Risk Prediction with a Choquet Fuzzy Integral Model', 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) 2018 Proceedings, IEEE International Conference on Fuzzy Systems, IEEE, Brazil.
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Nejad, MZ, Lu, J & Behbood, V 2017, 'Applying dynamic Bayesian tree in property sales price estimation', 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, JiangSu, China, pp. 1-6.
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Nguyen, Q, Lau, CW, Qu, Z, Simoff, SJ, Huang, M & Catchpoole, DR 2018, 'A Mobile Tool for Interactive Visualisation of Genomics Data', Proceedings of ITME 2018, International Conference on Information Technology in Medicine and Education, IEEE Computer Society CPS, Hangzhou, Zhejiang, China, pp. 688-697.
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Nobakht, M, Sui, Y, Seneviratne, A & Hu, W 2018, 'Permission Analysis of Health and Fitness Apps in IoT Programming Frameworks', Proceedings - 17th IEEE International Conference on Trust, Security and Privacy in Computing and Communications and 12th IEEE International Conference on Big Data Science and Engineering, Trustcom/BigDataSE 2018, 17th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, New York, USA, pp. 533-538.
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Ojha, S, Vitale, J, Raza, SA, Billingsley, R & Williams, MA 2018, 'Implementing the Dynamic Role of Mood and Personality in Emotion Processing of Cognitive Agents', Sixth Annual Conference on Advances in Cognitive Systems, Annual Conference on Advances in Cognitive Systems, Stanford, California.
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Ouyang, D, Qin, L, Chang, L, Lin, X, Zhang, Y & Zhu, Q 2018, 'When Hierarchy meets 2-hop-labeling: Effiicient shortest distance ?eries on road networks', Proceedings of the ACM SIGMOD International Conference on Management of Data, International Conference on Management of Data, AMC, Houston, TX, USA, pp. 709-724.
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Ouyang, D, Yuan, L, Zhang, F, Qin, L & Lin, X 2018, 'Towards efficient path skyline computation in bicriteria networks', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), International Conference on Database Systems for Advanced Applications, SpringerLink, Gold Coast, QLD, Australia, pp. 239-254.
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Pan, J, Li, J, Han, X & Jia, K 2018, 'Residual MeshNet: Learning to deform meshes for single-view 3D reconstruction', Proceedings - 2018 International Conference on 3D Vision, 3DV 2018, International Conference on 3D Vision, IEEE, Verona, Italy, pp. 719-727.
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Pan, S, Hu, R, Long, G, Jiang, J, Yao, L & Zhang, C 2018, 'Adversarially Regularized Graph Autoencoder for Graph Embedding.', IJCAI 2018, International Joint Conference on Artificial Intelligence, International Joint Conferences on Artificial Intelligence, Stockholm. Sweden, pp. 2609-2615.
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Pang, G, Cao, L, Chen, L, Lian, D & Liu, H 2018, 'Sparse Modeling-based Sequential Ensemble Learning for Effective Outlier Detection in High-dimensional Numeric Data.', The Thirty-Second AAAI Conference on Artificial Intelligence, AAAI Conference on Artificial Intelligence, AAAI, New Orleans, USA, pp. 3892-3899.
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Pang, G, Chen, L, Cao, L & Liu, H 2018, 'Learning representations of ultrahigh-dimensional data for random distance-based outlier detection', Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, ACM, London, United Kingdom, pp. 2041-2050.
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Peng, Y, Zhang, Y, Zhang, W, Lin, X & Qin, L 2018, 'Efficient probabilistic k-core computation on uncertain graphs', Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018, IEEE 34th International Conference on Data Engineering, IEEE, France, pp. 1204-1207.
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Peppas, P & Williams, M 2018, 'Parametrised Difference Revision', International Conference on Principles of Knowledge Representation and Reasoning, Tempe, USA.
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Prasad, M, Anh, N, Srikanth, N & Sundaram, S 2018, 'Wave Forecasting using Meta-cognitive Interval Type-2 Fuzzy Inference System', Procedia Computer Science, International Neural Network Society Conference on Big Data and Deep Learning, Elsevier, Bali, Indonesia, pp. 33-41.
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Prasad, M, Anh, N, Srikanth, N & Sundaram, S 2018, 'Wind Speed Intervals Prediction using Meta-cognitive Approach', Procedia Computer Science, International Neural Network Society Conference on Big Data and Deep Learning, Elsevier, Bali, Indonesia, pp. 23-32.
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Prasad, M, Chang, LC, Gupta, D, Pratama, M, Sundaram, S & Lin, CT 2018, 'Online video streaming for human tracking based on weighted resampling particle filter', Procedia Computer Science, INNS Conference on Big Data and Deep Learning 2018, Bali, Indonesia, pp. 2-12.
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Prasad, M, Liu, CL, Li, DL, Jha, C & Lin, CT 2018, 'Multi-view Vehicle Detection based on Part Model with Active Learning', Proceedings of the International Joint Conference on Neural Networks, International Joint Conference on Neural Networks, IEEE, Rio de Janeiro, Brazil.
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Prasad, M, Za’in, C, Pratama, M, Lughofer, E, Ferdaus, M & Cai, Q 2018, 'Big Data Analytics based on PANFIS MapReduce', Procedia Computer Science, International Neural Network Society Conference on Big Data and Deep Learning, Elsevier, Bali, Indonesia, pp. 140-152.
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Prasad, M, Zheng, DR, Mery, D, Puthal, D, Sundaram, S & Lin, CT 2018, 'A fast and self-adaptive on-line learning detection system', Procedia Computer Science, INNS Conference on Big Data and Deep Learning, Elsevier, Bali, Indonesia, pp. 13-22.
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Qing, Z, Yuan, L, Zhang, F, Qin, L, Lin, X & Zhang, W 2018, 'External topological sorting in large graphs', Database Systems for Advanced Applications (LNCS), International Conference on Database Systems for Advanced Applications, Springer, Gold Coast, QLD, Australia, pp. 203-220.
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Qiu, X, Cen, W, Qian, Z, Peng, Y, Zhang, Y, Lin, X & Zhou, J 2018, 'Real-time constrained cycle detection in large dynamic graphs', Proceedings of the VLDB Endowment, pp. 1876-1888.
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Rahman, JS, Li, J, Xie, J, Fogelman, S & Blumenstein, M 2018, 'Connectivity Based Method for Clustering Microbial Communities from Metagenomics Data of Water and Soil Samples', Proceedings of the International Joint Conference on Neural Networks, International Joint Conference on Neural Networks, IEEE, Rio de Janeiro, Brazil, pp. 1-8.
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Razzak, I, Saris, RA & Xu, G 2018, 'Robust 2D Joint Sparse Principle Component Analysis with F-norm Minimization for Sparse Modelling: 2D-RJSPCA', International Joint Conference on Neural Networks, IEEE, Rio de Janeiro, Brazil.
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Roberts, AGK, Catchpoole, DR & Kennedy, PJ 2018, 'Variance-based Feature Selection for Classification of Cancer Subtypes Using Gene Expression Data', Proceedings of the International Joint Conference on Neural Networks, International Joint Conference on Neural Networks, IEEE, Rio de Janeiro, Brazil.
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Saqib, M, Daud Khan, S, Sharma, N & Blumenstein, M 2017, 'Extracting descriptive motion information from crowd scenes', International Conference Image and Vision Computing New Zealand, International Conference on Image and Vision Computing New Zealand, IEEE, Christchurch, New Zealand, pp. 1-6.
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Saqib, M, Khan, SD, Sharma, N & Blumenstein, M 2018, 'Person Head Detection in Multiple Scales Using Deep Convolutional Neural Networks', Proceedings of the International Joint Conference on Neural Networks, International Joint Conference on Neural Networks, IEEE, Rio de Janeiro, Brazil.
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Shao, J, Du, B, Wu, C, Wu, J, Hu, R & Li, X 2018, 'VCF: Velocity Correlation Filter, Towards Space-Borne Satellite Video Tracking', Proceedings - IEEE International Conference on Multimedia and Expo, 2018 IEEE International Conference on Multimedia and Expo, San Diego, CA, USA.
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Sharma, N, Mandal, R, Sharma, R, Pal, U & Blumenstein, M 2018, 'Signature and logo detection using deep CNN for document image retrieval', Proceedings of International Conference on Frontiers in Handwriting Recognition, ICFHR, International Conference on Frontiers in Handwriting Recognition, IEEE, Niagara Falls, NY, USA, pp. 416-422.
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Sharma, N, Scully-Power, P & Blumenstein, M 2018, 'Shark detection from aerial imagery using region-based CNN, a study', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Australasian Joint Conference on Artificial Intelligence, SpringerLink, Wellington, New Zealand, pp. 224-236.
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Sharma, N, Sengupta, A, Sharma, R, Pal, U & Blumenstein, M 2017, 'Pincode detection using deep CNN for postal automation', International Conference Image and Vision Computing New Zealand, International Conference on Image and Vision Computing New Zealand, IEEE, Christchurch, New Zealand, pp. 1-6.
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Shen, T, Zhou, T, Long, G, Jiang, J & Zhang, C 2018, 'Bi-directional block self-attention for fast and memory-efficient sequence modeling', ICLR 2018.
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Shen, T, Zhou, T, Long, G, Jiang, J & Zhang, C 2018, 'Bi-directional block self-attention for fast and memory-efficient sequence modeling', International Conference on Representation Learning, Vancouver CANADA.
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Shen, T, Zhou, T, Long, G, Jiang, J & Zhang, C 2018, 'Fast Directional Self-Attention Mechanism', arXiv preprint arXiv:1805.00912.

Shen, T, Zhou, T, Long, G, Jiang, J, Pan, S & Zhang, C 2018, 'DiSAN: Directional Self-Attention Network for RNN/CNN-free Language Understanding', Proceedings of the 32nd AAAI Conference on Artificial Intelligence, AAAI Conference on Artificial Intelligence, AAAI, New Orleans, USA, pp. 5446-5455.
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Shen, T, Zhou, T, Long, G, Jiang, J, Wang, S & Zhang, C 2018, 'Reinforced Self-Attention Network: a Hybrid of Hard and Soft Attention for Sequence Modeling', IJCAI 2018, International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence, Stockholm, Sweden, pp. 4345-4352.
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Shen, X, Liu, W, Luo, Y, Ong, YS & Tsang, IW 2018, 'Deep binary prototype multi-label learning', IJCAI International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence, Stockholm, Sweden, pp. 2675-2681.
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Shen, X, Liu, W, Tsang, IW, Sun, QS & Ong, YS 2018, 'Compact multi-label learning', 32nd AAAI Conference on Artificial Intelligence, AAAI 2018, AAAI Conference on Artificial Intelligence, AAAI, New Orleans, USA, pp. 4066-4073.
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Shen, X, Pan, S, Liu, W, Ong, YS & Sun, QS 2018, 'Discrete network embedding', IJCAI International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence, Stockholm, Sweden, pp. 3549-3555.
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Sohaib, O, Naderpour, M & Hussain, W 2018, 'SaaS E-Commerce Platforms Web Accessibility Evaluation', IEEE International Conference on Fuzzy Systems, International Conference on Fuzzy Systems, IEEE, Rio de Janeiro, Brazil.
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Song, L, Du, B, Zhang, L, Zhang, L, Wu, J & Li, X 2018, 'Nonlocal patch based T-SVD for image inpainting: Algorithm and error analysis', 32nd AAAI Conference on Artificial Intelligence, AAAI 2018, AAAI Conference on Artificial Intelligence, New Orleans, USA, pp. 2419-2426.
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Song, Y, Zhang, G, Lu, H & Lu, J 2018, 'A Self-adaptive Fuzzy Network for Prediction in Non-stationary Environments', 2018 IEEE International Conference on Fuzzy Systems, International Conference on Fuzzy Systems, Rio de Janeiro, Brazil, pp. 1-8.
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Sun, Y, Zheng, L, Yang, Y, Tian, Q & Wang, S 2018, 'Beyond Part Models: Person Retrieval with Refined Part Pooling (and A Strong Convolutional Baseline)', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), European Conference on Computer Vision, Springer, Munich, Germany, pp. 501-518.
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Suwanwiwat, H, Das, A, Pal, U & Blumenstein, M 2018, 'ICFHR 2018 Competition on Thai student signatures and name components recognition and verification (TSNCRV2018)', Proceedings of International Conference on Frontiers in Handwriting Recognition, ICFHR, International Conference on Frontiers in Handwriting Recognition, IEEE, Niagara Falls, NY, USA, pp. 500-505.
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Tonkin, M, Vitale, J, Herse, S, Williams, MA, Judge, W & Wang, X 2018, 'Design Methodology for the UX of HRI: A Field Study of a Commercial Social Robot at an Airport', ACM/IEEE International Conference on Human-Robot Interaction, ACM/IEEE International Conference on Human-Robot Interaction, ACM, Chicago, USA, pp. 407-415.
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Vitale, J, Tonkin, M, Herse, S, Ojha, S, Clark, J, Williams, M, Wang, X & Judge, W 2018, 'Be More Transparent and Users Will Like You: A Robot Privacy and User Experience Design Experiment', Proceedings of 2018 ACM/IEEE International Conference on Human- Robot Interaction, International Conference on Human-Robot Interaction, ACM, Chicago, IL, USA, pp. 379-387.
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Vo, NNY, Liu, S, He, X & Xu, G 2018, 'Multimodal Mixture Density Boosting Network for Personality Mining', Advances in Knowledge Discovery and Data Mining (LNCS), Pacific-Asia Conference on Knowledge Discovery and Data Mining, Springer, Melbourne, Australia, pp. 644-655.
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Wang, B, Yan, Z, Lu, J & Zhang, G 2018, 'Explore Uncertainty in Residual Networks for Crowds Flow Prediction', International Joint Conference on Neural Networks, IEEE, Rio de Janeiro, Brazil, pp. 1-7.
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Wang, B, Yan, Z, Lu, J, Zhang, G & Li, T 2018, 'Deep multi-task learning for air quality prediction', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), International Conference on Neural Information Processing, Springer Link, Siem Reap, Cambodia, pp. 93-103.
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Wang, B, Yan, Z, Lu, J, Zhang, G & Li, T 2018, 'Road traffic flow prediction using deep transfer learning', Data Science and Knowledge Engineering for Sensing Decision Support, Conference on Data Science and Knowledge Engineering for Sensing Decision Support (FLINS 2018), World Scientific, Belfast, Northern Ireland, pp. 331-338.
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Wang, H, Chang, X, Shi, L, Yang, Y & Shen, YD 2018, 'Uncertainty sampling for action recognition via maximizing expected average precision', IJCAI International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence, ACM, Stockholm, Sweden, pp. 964-970.
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Wang, H, Zhou, C, Wu, J, Dang, W, Zhu, X & Wang, J 2018, 'Deep Structure Learning for Fraud Detection', Proceedings - IEEE International Conference on Data Mining, ICDM, IEEE International Conference on Data Mining, IEEE, Singapore, Singapore, pp. 567-576.
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Wang, J, Chen, L, Qin, L & Wu, X 2018, 'ASTM: An Attentional Segmentation Based Topic Model for Short Texts', Proceedings - IEEE International Conference on Data Mining, ICDM, IEEE International Conference on Data Mining, IEEE, Singapore, Singapore, pp. 577-586.
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Wang, K, Cao, X, Lin, X, Zhang, W & Qin, L 2019, 'Efficient computing of radius-bounded κ-cores', Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018, IEEE 34th International Conference on Data Engineering, IEEE, France, pp. 233-244.
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Wang, S, Zhang, Y, Lin, X & Cheema, MA 2018, 'Maximize spatial influence of facility bundle considering reverse k nearest neighbors', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), International Conference on Database Systems for Advanced Applications, Springer Link, Gold Coast, QLD, Australia, pp. 684-700.
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Wang, Z, Shivakumara, P, Lu, T, Basavanna, M, Pal, U & Blumenstein, M 2017, 'Fourier-Residual for Printer Identification', : 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR), IAPR International Conference on Document Analysis and Recognition, IEEE, Japan, pp. 1114-1119.
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Wu, W, Li, B, Chen, L & Zhang, C 2018, 'Efficient attributed network embedding via recursive randomized hashing', IJCAI International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence, Stockholm, Sweden, pp. 2861-2867.
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Wu, X, Shivakumara, P, Zhu, L, Zhang, H, Shi, J, Lu, T, Pal, U & Blumenstein, M 2018, 'Fourier Transform based Features for Clean and Polluted Water Image Classification', Proceedings - International Conference on Pattern Recognition, International Conference on Pattern Recognition, IEEE, Beijing, China, pp. 1707-1712.
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Wu, Y, Lin, Y, Dong, X, Yan, Y, Ouyang, W & Yang, Y 2018, 'Exploit the Unknown Gradually: One-Shot Video-Based Person Re-Identification by Stepwise Learning', 2018 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), Conference on Computer Vision and Pattern Recognition, IEEE, Salt Lake City, UT, pp. 5177-5186.
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Wu, Y, Zhu, L, Jiang, L & Yang, Y 2018, 'Decoupled novel object captioner', MM 2018 - Proceedings of the 2018 ACM Multimedia Conference, ACM International conference on Multimedia, ACM DL, Seoul, Republic of Korea, pp. 1029-1037.
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Xiao, P, Du, B, Wu, J, Zhang, L, Hu, R & Li, X 2018, 'TLR: Transfer Latent Representation for Unsupervised Domain Adaptation', Proceedings - IEEE International Conference on Multimedia and Expo, 2018 IEEE International Conference on Multimedia and Expo, IEEE, San Diego, CA, USA.
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Xiao, P, Du, B, Yun, S, Lit, X, Zhang, Y & Wu, J 2018, 'Probabilistic Graph Embedding for Unsupervised Domain Adaptation', Proceedings - International Conference on Pattern Recognition, International Conference on Pattern Recognition, IEEE, Beijing, China, pp. 1283-1288.
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Xu, Z, Xuan, J, Zhu, Y & Wei, X 2016, 'Building the profile of web events based on website measurement', FC 2016: Frontier Computing (Lecture Notes in Electrical Engineering), International Conference on Frontier Computing, Springer, FC, pp. 3-10.
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Xue, S, Lu, J, Zhang, G & Xiong, L 2018, 'A Framework of Transferring Structures Across Large-scale Information Networks', Proceedings of the International Joint Conference on Neural Networks, International Joint Conference on Neural Networks, IEEE, Rio de Janeiro, Brazil.
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Yan, H, Sui, Y, Chen, S & Xue, J 2018, 'Spatio-temporal context reduction: a pointer-analysis-based static approach for detecting use-after-free vulnerabilities', 2018 IEEE/ACM 40th International Conference on Software Engineering (ICSE), International Conference on Software Engineering, IEEE, Gothenburg, Sweden, pp. 327-337.
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Yan, Y, Yang, T, Li, Z, Lin, Q & Yang, Y 2018, 'A unified analysis of stochastic momentum methods for deep learning', Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence, International Joint Conferences on Artificial Intelligence, Stockholm, Sweden, pp. 2955-2961.
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Yan, Z, Le, X, Wen, S & Lu, J 2018, 'A continuous-time recurrent neural network for sparse signal reconstruction via ℓ1 minimization', 8th International Conference on Information Science and Technology, ICIST 2018, International Conference on Information Science and Technology, IEEE, Cordoba, Spain, pp. 43-49.
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Yan, Z, Lu, J & Zhang, G 2018, 'Distributed model predictive control of linear systems with coupled constraints based on collective neurodynamic optimization', AI 2018: AI 2018: Advances in Artificial Intelligence (LNAI), Australasian Joint Conference on Artificial Intelligence, Spinger, Wellington, New Zealand, pp. 318-328.
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Yang, H, Pan, S, Zhang, P, Chen, L, Lian, D & Zhang, C 2018, 'Binarized attributed network embedding', Proceedings - IEEE International Conference on Data Mining, ICDM, IEEE International Conference on Data Mining, IEEE, Singapore, Singapore, pp. 1476-1481.
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Yang, K, Wan, W & Lu, J 2018, 'Domain Adaptation for Gaussian Process Classification', ICALIP 2018 - 6th International Conference on Audio, Language and Image Processing, International Conference on Audio, Language and Image Processing, IEEE, Shanghai, China, pp. 226-229.
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Yu, H, Lu, J & Zhang, G 2018, 'An incremental dual nu-support vector regression algorithm', PAKDD 2018: Advances in Knowledge Discovery and Data Mining (LNAI), Pacific-Asia Conference on Knowledge Discovery and Data Mining, Springer, Melbourne, VIC, Australia, pp. 522-533.
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Yu, H, Lu, J, Zhang, G & Wu, D 2018, 'A dual neural network based on confidence intervals for fuzzy random regression problems', IEEE International Conference on Fuzzy Systems, IEEE International Conference on Fuzzy Systems, IEEE, Rio de Janeiro, Brazil.
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Yue, L, Wen, D, Cui, L, Qin, L & Zheng, Y 2018, 'K-connected cores computation in large dual networks', Database Systems for Advanced Applications 23rd International Conference, DASFAA 2018 Gold Coast, QLD, Australia, May 21–24, 2018 Proceedings (LNCS 10827), International Conference on Database Systems for Advanced Applications, Springer, Australia, pp. 169-186.
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Zhang, D, Yin, J, Zhu, X & Zhang, C 2018, 'MetaGraph2Vec: Complex Semantic Path Augmented Heterogeneous Network Embedding', Advances in Knowledge Discovery and Data Mining, Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, Springer, Melbourne, VIC, Australia, pp. 196-208.
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Zhang, D, Yin, J, Zhu, X & Zhang, C 2018, 'SINE: Scalable Incomplete Network Embedding', Proceedings - IEEE International Conference on Data Mining, ICDM, IEEE International Conference on Data Mining, IEEE, Singapore, Singapore, pp. 737-746.
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Zhang, F, Yuan, L, Zhang, Y, Qin, L, Lin, X & Zhou, A 2018, 'Discovering strong communities with user engagement and tie strength', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), International Conference on Database Systems for Advanced Applications, Springer Link, Gold Coast, QLD, Australia, pp. 425-441.
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Zhang, F, Zhang, Y, Qin, L, Zhang, W & Lin, X 2018, 'Efficiently reinforcing social networks over user engagement and tie strength', Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018, International Conference on Data Engineering, IEEE, Paris, France, pp. 557-568.
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Zhang, L, Li, J, Huang, T, Ma, Z, Lin, Z & Prasad, M 2018, 'GAN2C: Information Completion GAN with Dual Consistency Constraints', Proceedings of the International Joint Conference on Neural Networks, International Joint Conference on Neural Networks, IEEE, Rio de Janeiro, Brazil.
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Zhang, M, Gao, Y, Sun, C & Blumenstein, M 2018, 'Matching pursuit based on kernel non-second order minimization', Proceedings - International Conference on Image Processing, ICIP, IEEE International Conference on Image Processing, IEEE, Athens, Greece, pp. 3858-3862.
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Zhang, Q, Lu, J, Wu, D & Zhang, G 2018, 'Cross-domain recommendation with consistent knowledge transfer by subspace alignment', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), International Conference on Web Information Systems Engineering, Springer Link, Dubai, United Arab Emirates, pp. 67-82.
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Zhang, Q, Wu, D, Lu, J & Zhang, G 2018, 'Cross-domain recommendation with probabilistic knowledge transfer', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 208-219.
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Zhang, S, Yao, L, Sun, A, Wang, S, Long, G & Dong, M 2018, 'NeuRec: On nonlinear transformation for personalized ranking', IJCAI International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence, Stockholm, Sweden, pp. 3669-3675.
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Zhang, X, Wei, Y, Feng, J, Yang, Y & Huang, T 2018, 'Adversarial Complementary Learning for Weakly Supervised Object Localization', Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Conference on Computer Vision and Pattern Recognition, IEEE, Salt Lake City, UT, USA, pp. 1325-1334.
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Zhang, X, Wei, Y, Kang, G, Yang, Y & Huang, T 2018, 'Self-produced guidance for weakly-supervised object localization', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), European Conference on Computer Vision, Springer, Munich, Germany, pp. 610-625.
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Zhang, X, Yao, L, Huang, C, Wang, S, Tan, M, Long, G & Wang, C 2018, 'Multi-modality sensor data classification with selective attention', IJCAI International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence, Stockholm, Sweden, pp. 3111-3117.
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Zhang, Y, Hu, C, Lu, X & Li, J 2018, 'A novel illumination normalization method in face recognition based on logarithmic total variation', Proceedings of SPIE - The International Society for Optical Engineering, International Conference on Digital Image Processing, SPIE, Shanghai, China.
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Zhang, Y, Porter, A, Cunningham, S, Chiavetta, D & Newman, N 2018, 'How is Data Science Involved in Policy Analysis?: A Bibliometric Perspective', 2018 Portland International Conference on Management of Engineering and Technology (PICMET), Portland International Conference on Management of Engineering and Technology, IEEE, Honolulu, HI, USA, pp. 1-10.
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Zhang, Y, Sui, Y & Xue, J 2018, 'Launch-mode-aware Context-sensitive Activity Transition Analysis', Proceedings of the 40th International Conference on Software Engineering, International Conference on Software Engineering, ACM, Gothenburg, Sweden, pp. 598-608.
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Zhang, Y, Tsang, IW, Wang, H, Yin, H, Lian, D & Yang, G 2018, 'Discrete ranking-based matrix factorization with self-paced learnings', Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, ACM, London, United Kingdom, pp. 2758-2767.
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Zhang, Y, Wang, W, Xuan, J, Lu, J, Zhang, G & Lin, H 2018, 'Map-based medical practice behavior analysis: Methodology and a case study on Australia’s medical practices', the 13th International FLINS Conference, pp. 1323-1330.
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Zhang, Y, Wang, X, Zhang, G & Lu, J 2018, 'Predicting the dynamics of scientific activities: A diffusion-based network analytic methodology', Annual Meeting of the Association for Information Science and Technology, Vancouver, CA.
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Zheng, L, Zhao, Y, Wang, S, Wang, J, Yang, Y & Tian, Q 2018, 'On the large-scale transferability of convolutional neural networks', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Pacific-Asia Conference on Knowledge Discovery and Data Mining, Springer, Melbourne, VIC, Australia, pp. 27-39.
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Zheng, M, Zhou, C, Wu, J, Pan, S, Shi, J & Guo, AL 2018, 'FraudNE: A Joint Embedding Approach for Fraud Detection', Proceedings of the International Joint Conference on Neural Networks, International Joint Conference on Neural Networks, IEEE, Rio de Janeiro, Brazil, pp. 1-8.
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Zhong, Z, Zheng, L, Li, S & Yang, Y 2018, 'Generalizing a person retrieval model hetero- and homogeneously', Computer Vision – ECCV 2018 (LNCS 11217), European Conference on Computer Vision, Springer, Germany, pp. 176-192.
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Zhong, Z, Zheng, L, Zheng, Z, Li, S & Yang, Y 2018, 'Camera Style Adaptation for Person Re-identification', Conference on Computer Vision and Pattern Recognition, IEEE, Salt Lake City, UT, USA.
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Zhou, A, Zhang, F, Yuan, L, Zhang, Y & Lin, X 2018, 'Finding maximal stable cores in social networks', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Australasian Database Conference, Springer Link, Gold Coast, QLD, Australia, pp. 224-235.
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Zhou, JT, Di, K, Du, J, Peng, X, Yang, H, Pan, SJ, Tsang, IW, Liu, Y, Qin, Z & Goh, RSM 2018, 'Sc2Net: Sparse LSTMs for sparse coding ', 32nd AAAI Conference on Artificial Intelligence, AAAI 2018, AAAI Conference on Artificial Intelligence, AAI, New Orleans, USA, pp. 4588-4595.
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Zhu, F, Lin, A, Zhang, G & Lu, J 2018, 'Counterfactual Inference with Hidden Confounders Using Implicit Generative Models', AI 2018: Advances in Artificial Intelligence, Australasian Joint Conference on Artificial Intelligence, Springer, Wellington, New Zealand, pp. 519-530.
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Zhu, F, Lin, A, Zhang, G, Lu, J & Zhu, D 2018, 'Pareto-smoothed inverse propensity weighing for causal inference', Data Science and Knowledge Engineering for Sensing Decision Support, World Scientific, Belfast, Northern Ireland, UK, pp. 413-420.
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Zhu, F, Wang, Y, Chen, C, Liu, G, Orgun, M & Wu, J 2018, 'A deep framework for cross-domain and cross-system recommendations', IJCAI International Joint Conference on Artificial Intelligence, International Joint Conferences on Artifical Intelligence, Stockholm, pp. 3711-3717.
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Zhu, L & Yang, Y 2018, 'Compound memory networks for few-shot video classification', Computer Vision – ECCV 2018 (LNCS), European Conference on Computer Vision, Springer, Munich, Germany, pp. 782-797.
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Zhu, Q, Du, B, Wu, J & Yan, P 2018, 'A Deep Learning Health Data Analysis Approach: Automatic 3D Prostate MR Segmentation with Densely-Connected Volumetric ConvNets', Proceedings of the International Joint Conference on Neural Networks, International Joint Conference on Neural Networks, IEEE, Rio de Janeiro, Brazil.
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Zhu, Y, Zhang, Q, Qin, L, Chang, L & Yu, JX 2018, 'Querying cohesive subgraphs by keywords', Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018, International Conference on Data Engineering, Paris, France, pp. 1328-1331.
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Zuo, H, Zhang, G & Lu, J 2018, 'Fuzzy domain adaptation using unlabeled target data', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), International Conference on Neural Information Processing, Springer Link, Siem Reap, Cambodia, pp. 242-250.
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Zuo, H, Zhang, G & Lu, J 2018, 'Semi-supervised transfer learning in Takagi-Sugeno fuzzy models', Data Science and Knowledge Engineering for Sensing Decision Support, Conference on Data Science and Knowledge Engineering for Sensing Decision Support (FLINS 2018), WORLD SCIENTIFIC.
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Aliyev, N & He, X 2018, 'Knightian Value of Information'.

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

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

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