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Publications

Chapters

Ashraf, J, Hussain, OK, Hussain, FK & Chang, EJ 2018, 'Closing the Loop: Placing Ontology Usage Analysis in the Ontology Development and Deployment Lifecycle' in Studies in Computational Intelligence, pp. 23-47.
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Ashraf, J, Hussain, OK, Hussain, FK & Chang, EJ 2018, 'Evaluation of U Ontology' in Studies in Computational Intelligence, pp. 243-268.
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Ashraf, J, Hussain, OK, Hussain, FK & Chang, EJ 2018, 'Identification Phase: Ontology Usage Network Analysis Framework (OUN-AF)' in Studies in Computational Intelligence, pp. 63-101.
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Ashraf, J, Hussain, OK, Hussain, FK & Chang, EJ 2018, 'Investigation Phase: Empirical Analysis of Domain Ontology Usage (EMP-AF)' in Studies in Computational Intelligence, pp. 103-140.
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Ashraf, J, Hussain, OK, Hussain, FK & Chang, EJ 2018, 'Investigation Phase: Quantitative Analysis of Domain Ontology Usage (QUA-AF)' in Studies in Computational Intelligence, pp. 141-169.
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Ashraf, J, Hussain, OK, Hussain, FK & Chang, EJ 2018, 'Measuring and Analysing the Use of Ontologies A Semantic Framework for Measuring Ontology Usage' in Studies in Computational Intelligence, pp. 3-26.

Ashraf, J, Hussain, OK, Hussain, FK & Chang, EJ 2018, 'Motivation' in Studies in Computational Intelligence, pp. 1-21.
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Ashraf, J, Hussain, OK, Hussain, FK & Chang, EJ 2018, 'New Research Directions' in Studies in Computational Intelligence, pp. 269-271.
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Ashraf, J, Hussain, OK, Hussain, FK & Chang, EJ 2018, 'Ontology Usage Analysis Framework (OUSAF)' in Studies in Computational Intelligence, pp. 49-62.
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Ashraf, J, Hussain, OK, Hussain, FK & Chang, EJ 2018, 'Preface', pp. ix-xii.

Ashraf, J, Hussain, OK, Hussain, FK & Chang, EJ 2018, 'Representation Phase: Ontology Usage Ontology (U Ontology)' in Studies in Computational Intelligence, pp. 171-203.
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Ashraf, J, Hussain, OK, Hussain, FK & Chang, EJ 2018, 'Utilization Phase: Utilization of OUSAF' in Studies in Computational Intelligence, pp. 205-242.
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Dieci, R & He, XT 2018, 'Heterogeneous Agent Models in Finance' in Hommes, C & LeBaron, B (eds), Handbook of Computational Economics, Elsevier, pp. 257-328.
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Gil-Lafuente, AM, Merigó, JM, Dass, BK & Verma, R 2018, 'Preface', pp. v-vii.

Song, K, Feng, S, Gao, W, Wang, D, Chen, L & Zhang, C 2018, 'Build emotion lexicon from microblogs by combining effects of seed words and emoticons in a heterogeneous graph' in Social Media Content Analysis: Natural Language Processing and Beyond, World Scientific, Singapore, pp. 171-195.
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Stoianoff, N & Wright, EA 2018, 'Fair Use and Traditional Cultural Expressions' in Corbett, S & Lai, JC (eds), Making Copyright Work for the Asian Pacific: Juxtaposing Harmonisation with Flexibility, ANU Press, pp. 75-94.
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Journal articles

Abolhasan, M, Abdollahi, M, Ni, W, Jamalipour, A, Shariati, N & Lipman, J 2018, 'A Routing Framework for Offloading Traffic from Cellular Networks to SDN-based Multi-Hop Device-to-Device Networks', IEEE Transactions on Network and Service Management.
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Alam, M, Jan, MA, Shu, L, He, X & Chen, Y 2018, 'Editorial: Current and Future Trends in Wireless Communications Protocols and Technologies', Mobile Networks and Applications, vol. 23, no. 3, pp. 377-381.
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Alam, M, Rayes, A, He, X, Atiquzzaman, M, Lloret, J & Tsang, KF 2018, 'Guest Editorial Introduction to the Special Issue on Dependable Wireless Vehicular Communications for Intelligent Transportation Systems (ITS)', IEEE Transactions on Intelligent Transportation Systems, vol. 19, no. 3, pp. 949-952.
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Aldebei, KW, He, X, Jia, W & Weichang Yeh 2018, 'SUDMAD: Sequential and unsupervised decomposition of a multi-author document based on a hidden markov model', Journal of the Association for Information Science and Technology, vol. 69, no. 2, pp. 201-214.
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Alfaro-García, VG, Merigó, JM, Gil-Lafuente, AM & Kacprzyk, J 2018, 'Logarithmic aggregation operators and distance measures', International Journal of Intelligent Systems, vol. 33, no. 7, pp. 1488-1506.
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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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Anderson, C, Hafen, R, Sofrygin, O, Ryan, L & members of the HBGDki Community 2018, 'Comparing predictive abilities of longitudinal child growth models.', Statistics in medicine.
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Andrade-Valbuena, NA & Merigo, JM 2018, 'Outlining new product development research through bibliometrics: Analyzing journals, articles and researchers', Journal of Strategy and Management, vol. 11, no. 3, pp. 328-350.
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Anshar, M & Williams, MA 2018, 'Evolving robot empathy towards humans with motor disabilities through artificial pain generation', AIMS Neuroscience, vol. 5, no. 1, pp. 56-73.
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Avilés-Ochoa, E, León-Castro, E, Perez-Arellano, LA & Merigó, JM 2018, 'Government transparency measurement through prioritized distance operators', Journal of Intelligent and Fuzzy Systems, vol. 34, no. 4, pp. 2783-2794.
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Baier-Fuentes, H, Merigó, JM, Amorós, JE & Gaviria-Marín, M 2018, 'International entrepreneurship: a bibliometric overview', International Entrepreneurship and Management Journal, pp. 1-45.
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Bargi, A, Xu, YD & Piccardi, M 2018, 'AdOn HDP-HMM: An Adaptive Online Model for Segmentation and Classification of Sequential Data', IEEE Transactions on Neural Networks and Learning Systems, pp. 1-16.
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Beck, D, Thoms, JAI, Palu, C, Herold, T, Shah, A, Olivier, J, Boelen, L, Huang, Y, Chacon, D, Brown, A, Babic, M, Hahn, C, Perugini, M, Zhou, X, Huntly, BJ, Schwarzer, A, Klusmann, J-H, Berdel, WE, Wörmann, B, Büchner, T, Hiddemann, W, Bohlander, SK, To, LB, Scott, HS, Lewis, ID, D'Andrea, RJ, Wong, JWH & Pimanda, JE 2018, 'A four-gene LincRNA expression signature predicts risk in multiple cohorts of acute myeloid leukemia patients.', Leukemia, vol. 32, no. 2, pp. 263-272.
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Blanco-Mesa, F, Gil-Lafuente, AM & Merigo, JM 2018, 'Dynamics of stakeholder relations with multi-person aggregation', Kybernetes, vol. 47, no. 9, pp. 1801-1820.
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Blanco-Mesa, F, Gil-Lafuente, AM & Merigó, JM 2018, 'New aggregation operators for decision-making under uncertainty: An applications in selection of entrepreneurial opportunities', Technological and Economic Development of Economy, vol. 24, no. 2, pp. 335-357.
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Blanco-Mesa, F, León-Castro, E & Merigó, JM 2018, 'Bonferroni induced heavy operators in ERM decision-making: A case on large companies in Colombia', Applied Soft Computing Journal, vol. 72, pp. 371-391.
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Blanco-Mesa, F, León-Castro, E, Merigó, JM & Xu, Z 2018, 'Bonferroni means with induced ordered weighted average operators', International Journal of Intelligent Systems.
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Cancino, CA, Merigo, JM, Torres, JP & Diaz, D 2018, 'A bibliometric analysis of venture capital research', Journal of Economics, Finance and Administrative Science, vol. 23, no. 45, pp. 182-195.
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Cao, X, Qiu, B & Xu, G 2018, 'BorderShift: toward optimal MeanShift vector for cluster boundary detection in high-dimensional data', Pattern Analysis and Applications, pp. 1-13.
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Cao, X, Qiu, B, Li, X, Shi, Z, Xu, G & Xu, J 2018, 'Multidimensional Balance-Based Cluster Boundary Detection for High-Dimensional Data', IEEE Transactions on Neural Networks and Learning Systems.
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Cheng, H, Zhang, J, Wu, Q & Ping, A 2018, 'A Computational Model for Stereoscopic Visual Saliency Prediction', IEEE Transactions on Multimedia.
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Chi, L, Li, B, Zhu, X, Pan, S & Chen, L 2018, 'Hashing for Adaptive Real-Time Graph Stream Classification With Concept Drifts.', IEEE Transactions on Cybernetics, vol. 48, no. 5, pp. 1591-1604.
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Chiu, SK, Saw, J, Huang, Y, Sonderegger, SE, Wong, NC, Powell, DR, Beck, D, Pimanda, JE, Tremblay, CS & Curtis, DJ 2018, 'A novel role for Lyl1 in primitive erythropoiesis.', Development (Cambridge, England), vol. 145, no. 19.
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Chomsiri, T, He, XS, Nanda, P & Tan, Z 2018, 'Hybrid Tree-rule Firewall for High Speed Data Transmission', IEEE Transactions on Cloud Computing.
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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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Cui, L, Wu, J, Pi, D, Zhang, P & Kennedy, P 2018, 'Dual Implicit Mining-Based Latent Friend Recommendation', IEEE Transactions on Systems, Man, and Cybernetics: Systems.
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Dai, M, Cheng, S & He, XS 2018, 'Hybrid generative–discriminative hash tracking with spatio-temporal contextual cues', Neural Computing and Applications, vol. 29, no. 2, pp. 389-399.
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Dai, M, Cheng, S, He, X & Wang, D 2018, 'Object tracking in the presence of shaking motions', Neural Computing and Applications, pp. 1-18.
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Deng, C, Chen, Z, Liu, X, Gao, X & Tao, D 2018, 'Triplet-Based Deep Hashing Network for Cross-Modal Retrieval', IEEE Transactions on Image Processing, vol. 27, no. 8, pp. 3893-3903.
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Deng, C, Liu, X, Li, C & Tao, D 2018, 'Active multi-kernel domain adaptation for hyperspectral image classification', Pattern Recognition.
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Deng, Z, Chen, J, Zhang, T, Cao, L & Wang, S 2018, 'Generalized Hidden-Mapping Minimax Probability Machine for the training and reliability learning of several classical intelligent models', Information Sciences, vol. 436-437, pp. 302-319.
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Ding, C & Tao, D 2018, 'Trunk-Branch Ensemble Convolutional Neural Networks for Video-Based Face Recognition', IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 40, no. 4, pp. 1002-1014.
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Dong, X, Dong, J, Zhou, H, Sun, J & Tao, D 2018, 'Automatic Chinese Postal Address Block Location Using Proximity Descriptors and Cooperative Profit Random Forests', IEEE Transactions on Industrial Electronics, vol. 65, no. 5, pp. 4401-4412.
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Dong, X, Gong, Y & Cao, L 2018, 'e-RNSP: An Efficient Method for Mining Repetition Negative Sequential Patterns.', IEEE transactions on cybernetics.
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Dong, X, Gong, Y & Cao, L 2018, 'F-NSP+: A fast negative sequential patterns mining method with self-adaptive data storage', Pattern Recognition, vol. 84, pp. 13-27.
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Du, B, Tang, X, Wang, Z, Zhang, L & Tao, D 2018, 'Robust Graph-Based Semisupervised Learning for Noisy Labeled Data via Maximum Correntropy Criterion', IEEE Transactions on Cybernetics.
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Du, B, Wang, S, Xu, C, Wang, N, Zhang, L & Tao, D 2018, 'Multi-Task Learning for Blind Source Separation', IEEE Transactions on Image Processing, vol. 27, no. 9, pp. 4219-4231.
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Durán Santomil, P, Otero González, L, Martorell Cunill, O & Merigó Lindahl, JM 2018, 'Backtesting an equity risk model under Solvency II', Journal of Business Research, vol. 89, pp. 216-222.
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Fan, M, Zhang, X, Du, L, Chen, L & Tao, D 2018, 'Semi-Supervised Learning Through Label Propagation on Geodesics', IEEE Transactions on Cybernetics, vol. 48, no. 5, pp. 1486-1499.
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Fan, X, He, X, Xiang, C, Puthal, D, Gong, L, Nanda, P & Fang, G 2018, 'Towards System Implementation and Data Analysis for Crowdsensing BasedOutdoor RSS Maps', IEEE Access.
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Feng, X, Wan, W, Xu, RYD, Perry, S, Zhu, S & Liu, Z 2018, 'A new mesh visual quality metric using saliency weighting-based pooling strategy', Graphical Models, vol. 99, pp. 1-12.
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Feng, XIANG, Wan, W, Richard Yi Da Xu, Chen, H, Li, P & Sánchez, JA 2018, 'A perceptual quality metric for 3D triangle meshes based on spatial pooling', Frontiers of Computer Science.
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Fu, H, Gong, M, Wang, C & Tao, D 2018, 'MoE-SPNet: A mixture-of-experts scene parsing network', Pattern Recognition, vol. 84, pp. 226-236.
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Fu, Q, Luo, Y, Wen, Y, Tao, D, Li, Y & Duan, LY 2018, 'Toward Intelligent Product Retrieval for TV-to-Online (T2O) Application: A Transfer Metric Learning Approach', IEEE Transactions on Multimedia, vol. 20, no. 8, pp. 2114-2125.
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Gaviria-Marin, M, Merigó, JM & Baier-Fuentes, H 2018, 'Knowledge management: A global examination based on bibliometric analysis', Technological Forecasting and Social Change.
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Gaviria-Marin, M, Merigo, JM & Popa, S 2018, 'Twenty years of the Journal of Knowledge Management: a bibliometric analysis', Journal of Knowledge Management, vol. 22, no. 8, pp. 1655-1687.
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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, p. 17.
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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 (Basel, Switzerland), vol. 8, no. 3.
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Gong, C, Liu, T, Tang, Y, Yang, J, Yang, J & Tao, D 2018, 'A Regularization Approach for Instance-Based Superset Label Learning.', IEEE Transactions on Cybernetics, vol. 48, no. 3, pp. 967-978.
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Gong, C, Tao, D, Chang, X & Yang, J 2018, 'Ensemble Teaching for Hybrid Label Propagation', IEEE Transactions on Cybernetics.
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Goodswen, SJ, Kennedy, PJ & Ellis, JT 2018, 'A Gene-Based Positive Selection Detection Approach to Identify Vaccine Candidates Using Toxoplasma gondii as a Test Case Protozoan Pathogen.', Frontiers in Genetics, vol. 9.
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Gu, K, Tao, D, Qiao, JF & Lin, W 2018, 'Learning a No-Reference Quality Assessment Model of Enhanced Images with Big Data', IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 4, pp. 1301-1313.
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Gu, Y, Gu, M, Long, Y, Xu, G, Yang, Z, Zhou, J & Qu, W 2018, 'An enhanced short text categorization model with deep abundant representation', World Wide Web, pp. 1-15.
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Guan, N, Liu, T, Zhang, Y, Tao, D & Davis, LS 2018, 'Truncated Cauchy Non-negative Matrix Factorization for Robust Subspace Learning', IEEE Transactions on Pattern Analysis and Machine Intelligence.
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Gui, J, Liu, T, Sun, Z, Tao, D & Tan, T 2018, 'Fast Supervised Discrete Hashing', IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 40, no. 2, pp. 490-496.
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Gui, J, Liu, T, Sun, Z, Tao, D & Tan, T 2018, 'Supervised Discrete Hashing With Relaxation', IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 3, pp. 608-617.
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Guo, F, Wang, W, Shen, J, Shao, L, Yang, J, Tao, D & Tang, YY 2018, 'Video Saliency Detection Using Object Proposals', IEEE Transactions on Cybernetics.
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Guo, K, Liu, L, Xu, X, Xu, D & Tao, D 2018, 'GoDec+: Fast and Robust Low-Rank Matrix Decomposition Based on Maximum Correntropy', IEEE Transactions on Neural Networks and Learning Systems.
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Guo, T, Pan, S, Zhu, X & Zhang, C 2018, 'CFOND: Consensus Factorization for Co-Clustering Networked Data', IEEE Transactions on Knowledge and Data Engineering.
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Han, B, Tsang, IW, Chen, L, Yu, CP & Fung, SF 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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Hao, S, Shi, C, Niu, Z & Cao, L 2018, 'Concept coupling learning for improving concept lattice-based document retrieval', Engineering Applications of Artificial Intelligence, vol. 69, pp. 65-75.
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He, X, He, Z & Zhu, X 2018, 'Editorial Notes', Economic Modelling.
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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 (Woodbury, N.Y.), vol. 28, no. 5, p. 055903.
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Ho, N, Peng, H, Mayoh, C, Liu, PY, Atmadibrata, B, Marshall, GM, Li, J & Liu, T 2018, 'Delineation of the frequency and boundary of chromosomal copy number variations in paediatric neuroblastoma.', Cell cycle (Georgetown, Tex.), vol. 17, no. 6, pp. 749-758.
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Huang, Y, Cao, L, Zhang, J, Pan, L & Liu, Y 2018, 'Exploring feature coupling and model coupling for image source identification', IEEE Transactions on Information Forensics and Security, vol. 13, no. 12, pp. 3108-3121.
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Huang, Y, Xu, J, Wu, Q, Zheng, Z, Zhang, Z & Zhang, J 2018, 'Multi-pseudo Regularized Label for Generated Data in Person Re-Identification', IEEE Transactions on Image Processing.
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Huque, MH, Anderson, C, Walton, R, Woolford, S & Ryan, L 2018, 'Smooth individual level covariates adjustment in disease mapping.', Biometrical journal. Biometrische Zeitschrift, vol. 60, no. 3, pp. 597-615.
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Hussain, W & Hussain, F 2018, 'Comparing time series with machine learning-based prediction approaches for violation management in cloud SLAs', Future Generation Computer Systems.
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Hussain, W, Hussain, FK, Hussain, O, Bagia, R & Chang, E 2018, 'Risk-based framework for SLA violation abatement from the cloud service provider’s perspective', The Computer Journal, vol. 61, no. 9, pp. 1306-1322.
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Jan, MA, Nanda, He, XS & Liu, RP 2018, 'A Sybil Attack Detection Scheme for a Forest Wildfire Monitoring Application', Future Generation Computer Systems: the international journal of grid computing: theory, methods and applications, vol. 80, pp. 613-626.
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Jan, MA, Tan, Z, He, X & Ni, W 2018, 'Moving towards highly reliable and effective sensor networks', Ad-Hoc and Sensor Wireless Networks, vol. 40, no. 3-4, pp. 163-168.
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Jan, MA, Usman, M, He, X & Rehman, AU 2018, 'SAMS: A Seamless and Authorized Multimedia Streaming framework for WMSN-based IoMT', IEEE Internet of Things Journal.
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Ji, K, Chen, Z, Sun, R, Ma, K, Yuan, Z & Xu, G 2018, 'GIST: A generative model with individual and subgroup-based topics for group recommendation', Expert Systems with Applications, vol. 94, pp. 81-93.
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Jian, S, Cao, L, Lu, K & Gao, H 2018, 'Unsupervised Coupled Metric Similarity for Non-IID Categorical Data', IEEE Transactions on Knowledge and Data Engineering, vol. 30, no. 9, pp. 1810-1823.
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Jian, S, Pang, G, Cao, L, Lu, K & Gao, H 2018, 'CURE: Flexible Categorical Data Representation by Hierarchical Coupling Learning', IEEE Transactions on Knowledge and Data Engineering.
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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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Kang, G, Li, J & Tao, D 2018, 'Shakeout: A New Approach to Regularized Deep Neural Network Training', IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 40, no. 5, pp. 1245-1258.
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Kendrick, L, Musial, K & Gabrys, B 2018, 'Change point detection in social networksCritical review with experiments', Computer Science Review, vol. 29, pp. 1-13.
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Kocbek, S, Kocbek, P, Stozer, A, Zupanic, T, Groza, T & Stiglic, G 2018, 'Building interpretable models for polypharmacy prediction in older chronic patients based on drug prescription records', PEERJ, vol. 6.
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Kusakunniran, W, Wu, Q, Ritthipravat, P & Zhang, J 2018, 'Hard exudates segmentation based on learned initial seeds and iterative graph cut.', Computer methods and programs in biomedicine, vol. 158, pp. 173-183.
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Laengle, S, Merigó, JM, Modak, NM & Yang, JB 2018, 'Bibliometrics in operations research and management science: a university analysis', Annals of Operations Research.
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Laengle, S, Modak, NM, Merigó, JM & De La Sotta, C 2018, 'Thirty years of the International Journal of Computer Integrated Manufacturing: a bibliometric analysis', International Journal of Computer Integrated Manufacturing, vol. 31, no. 12, pp. 1247-1268.
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Laengle, S, Modak, NM, Merigo, JM & Zurita, G 2018, 'Twenty-Five Years of Group Decision and Negotiation: A Bibliometric Overview', Group Decision and Negotiation, vol. 27, no. 4, pp. 505-542.
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Lan, L, Wang, X, Zhang, S, Tao, D, Gao, W & Huang, TS 2018, 'Interacting Tracklets for Multi-Object Tracking', IEEE Transactions on Image Processing, vol. 27, no. 9, pp. 4585-4597.
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León-Castro, E, Avilés-Ochoa, E & Merigó, JM 2018, 'Induced Heavy Moving Averages', International Journal of Intelligent Systems, vol. 33, no. 9, pp. 1823-1839.
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León-Castro, E, Avilés-Ochoa, E, Merigó, JM & Gil-Lafuente, AM 2018, 'Heavy Moving Averages and Their Application in Econometric Forecasting', Cybernetics and Systems, vol. 49, no. 1, pp. 26-43.
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Li, H-S, Fan, P, Xia, H-Y, Song, S & He, X 2018, 'The multi-level and multi-dimensional quantum wavelet packet transforms.', Scientific reports, vol. 8, no. 1, p. 13884.
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Li, L, Liu, Z & Zhang, J 2018, 'Unsupervised image co-segmentation via guidance of simple images', Neurocomputing, vol. 275, pp. 1650-1661.
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Li, X, Liu, K, Dong, Y & Tao, D 2018, 'Patch Alignment Manifold Matting', IEEE Transactions on Neural Networks and Learning Systems.
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Li, X, Lu, Q, Dong, Y & Tao, D 2018, 'SCE: A Manifold Regularized Set-Covering Method for Data Partitioning', IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 5, pp. 1760-1773.
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Li, X, Zhao, L, Ji, W, Wu, Y, Wu, F, Yang, MH, Tao, D & Reid, I 2018, 'Multi-Task Structure-aware Context Modeling for Robust Keypoint-based Object Tracking', IEEE Transactions on Pattern Analysis and Machine Intelligence.
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Li, Y, Tian, X, Liu, T & Tao, D 2018, 'On Better Exploring and Exploiting Task Relationships in Multitask Learning: Joint Model and Feature Learning', IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 5, pp. 1975-1985.
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Li, Z, Nie, F, Chang, X, Yang, Y, Zhang, C & Sebe, N 2018, 'Dynamic Affinity Graph Construction for Spectral Clustering Using Multiple Features', IEEE Transactions on Neural Networks and Learning Systems.
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Lian, D, Zheng, K, Ge, Y, Cao, L, Chen, E & Xie, X 2018, 'GeoMF++: Scalable location recommendation via joint geographical modeling and matrix factorization', ACM Transactions on Information Systems, vol. 36, no. 3.
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Liang, T, Chen, L, Wu, J, Xu, G & Wu, Z 2018, 'SMS: A Framework for Service Discovery by Incorporating Social Media Information', IEEE Transactions on Services Computing, pp. 1-1.
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Liao, H, Xu, Z, Herrera, F & Merigó, JM 2018, 'Editorial Message: Special Issue on Hesitant Fuzzy Linguistic Decision Making: Algorithms, Theory and Applications', International Journal of Fuzzy Systems, vol. 20, no. 7, p. 2083.
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Liu, F, Gong, C, Huang, X, Zhou, T, Yang, J & Tao, D 2018, 'Robust Visual Tracking Revisited: From Correlation Filter to Template Matching', IEEE Transactions on Image Processing, vol. 27, no. 6, pp. 2777-2790.
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Liu, M, Xu, C, Luo, Y, Xua, C, Wen, Y & Tao, D 2018, 'Cost-Sensitive Feature Selection by Optimizing F-measures', IEEE Transactions on Image Processing, vol. 27, no. 3, pp. 1323-1333.
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Liu, P, Liu, J & Merigó, JM 2018, 'Partitioned Heronian means based on linguistic intuitionistic fuzzy numbers for dealing with multi-attribute group decision making', Applied Soft Computing Journal, vol. 62, pp. 395-422.
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Liu, Q, Ghosh, S, Li, J, Wong, L & Ramamohanarao, K 2018, 'Discovering pan-correlation patterns from time course data sets by efficient mining algorithms', Computing, vol. 100, no. 4, pp. 421-437.
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Liu, Q, Thoms, JAI, Nunez, AC, Huang, Y, Knezevic, K, Packham, D, Poulos, RC, Williams, R, Beck, D, Hawkins, NJ, Ward, RL, Wong, JWH, Hesson, LB, Sloane, MA & Pimanda, JE 2018, 'Disruption of a -35 kb Enhancer Impairs CTCF Binding and MLH1 Expression in Colorectal Cells.', Clinical cancer research : an official journal of the American Association for Cancer Research, vol. 24, no. 18, pp. 4602-4611.
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Liu, Q, Wu, R, Chen, E, Xu, G, Su, Y, Chen, Z & Hu, G 2018, 'Fuzzy cognitive diagnosis for modelling examinee performance', ACM Transactions on Intelligent Systems and Technology, vol. 9, no. 4.
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Liu, Y, Lan, C, Blumenstein, M & Li, J 2018, 'Bi-level error correction for PacBio long reads', IEEE/ACM Transactions on Computational Biology and Bioinformatics.
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Llanos-Herrera, GR & Merigo, JM 2018, 'Overview of brand personality research with bibliometric indicators', Kybernetes.
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Llopis-Albert, C, Merigó, JM, Liao, H, Xu, Y, Grima-Olmedo, J & Grima-Olmedo, C 2018, 'Water Policies and Conflict Resolution of Public Participation Decision-Making Processes Using Prioritized Ordered Weighted Averaging (OWA) Operators', Water Resources Management, vol. 32, no. 2, pp. 497-510.
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Llopis-Albert, C, Merigó, JM, Xu, Y & Liao, H 2018, 'Application of Fuzzy Set/Qualitative Comparative Analysis to Public Participation Projects in Support of the EU Water Framework Directive.', Water environment research : a research publication of the Water Environment Federation, vol. 90, no. 1, pp. 74-83.
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Luo, F, Du, B, Zhang, L, Zhang, L & Tao, D 2018, 'Feature Learning Using Spatial-Spectral Hypergraph Discriminant Analysis for Hyperspectral Image', IEEE Transactions on Cybernetics.
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Luo, Y, Wen, Y & Tao, D 2018, 'Heterogeneous Multitask Metric Learning Across Multiple Domains', IEEE Transactions on Neural Networks and Learning Systems.
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Luo, Y, Wen, Y, Liu, T & Tao, D 2018, 'Transferring Knowledge Fragments for Learning Distance Metric from A Heterogeneous Domain', IEEE Transactions on Pattern Analysis and Machine Intelligence.
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Ma, K, Fu, H, Liu, T, Wang, Z & Tao, D 2018, 'Deep Blur Mapping: Exploiting High-Level Semantics by Deep Neural Networks', IEEE Transactions on Image Processing, vol. 27, no. 10, pp. 5155-5166.
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Makhdoom, I, Abolhasan, M, Lipman, J, Liu, RP & Ni, W 2018, 'Anatomy of Threats to The Internet of Things', Communications Surveys and Tutorials, IEEE Communications Society.
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Maldonado, S, Merigó, J & Miranda, J 2018, 'Redefining support vector machines with the ordered weighted average', Knowledge-Based Systems, vol. 148, pp. 41-46.
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Manzoor, M, Hussain, W, Sohaib, O, Hussain, FK & Alkhalaf, S 2018, 'Methodological investigation for enhancing the usability of university websites', Journal of Ambient Intelligence and Humanized Computing, pp. 1-19.
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Martínez-López, FJ, Merigó, JM, Valenzuela-Fernández, L & Nicolás, C 2018, 'Fifty years of the European Journal of Marketing: a bibliometric analysis', European Journal of Marketing, vol. 52, no. 1-2, pp. 439-468.
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Mei, T, Li, L, Tian, X, Tao, D & Ngo, CW 2018, 'PageSense: Toward Stylewise Contextual Advertising via Visual Analysis of Web Pages', IEEE Transactions on Circuits and Systems for Video Technology, vol. 28, no. 1, pp. 254-266.
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Meng, F, Rui, X, Wang, Z, Xing, Y & Cao, L 2018, 'Coupled node similarity learning for community detection in attributed networks', Entropy, vol. 20, no. 6.
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Merigó, JM, Cobo, MJ, Laengle, S, Rivas, D & Herrera-Viedma, E 2018, 'Twenty years of Soft Computing: a bibliometric overview', Soft Computing, pp. 1-21.
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Merigó, JM, Gil-Lafuente, AM, Yu, D & Llopis-Albert, C 2018, 'Fuzzy decision making in complex frameworks with generalized aggregation operators', Applied Soft Computing Journal, vol. 68, pp. 314-321.
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Merigó, JM, Pedrycz, W, Weber, R & de la Sotta, C 2018, 'Fifty years of Information Sciences: A bibliometric overview', Information Sciences, vol. 432, pp. 245-268.
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Merigó, JM, Zhou, L, Yu, D, Alrajeh, N & Alnowibet, K 2018, 'Probabilistic OWA distances applied to asset management', Soft Computing, vol. 22, no. 15, pp. 4855-4878.
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Mirtalaie, MA, Hussain, OK, Chang, E & Hussain, FK 2018, 'Extracting sentiment knowledge from pros/cons product reviews: Discovering features along with the polarity strength of their associated opinions', Expert Systems with Applications, vol. 114, pp. 267-288.
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Mulet-Forteza, C, Martorell-Cunill, O, Merigó, JM, Genovart-Balaguer, J & Mauleon-Mendez, E 2018, 'Twenty five years of the Journal of Travel & Tourism Marketing: a bibliometric ranking', Journal of Travel and Tourism Marketing, vol. 35, no. 9, pp. 1201-1221.
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Nanda, A, Nanda, P, He, X, Jamdagni, A & Puthal, D 2018, 'A hybrid encryption technique for Secure-GLOR: The adaptive secure routing protocol for dynamic wireless mesh networks', Future Genaration Computer Systems.
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Nawaz, F, Janjua, NK, Hussain, OK, Hussain, FK, Chang, E & Saberi, M 2018, 'Event-driven approach for predictive and proactive management of SLA violations in the Cloud of Things', Future Generation Computer Systems, vol. 84, pp. 78-97.
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Ojha, S, Williams, MA & Johnston, B 2018, 'The Essence of Ethical Reasoning in Robot-Emotion Processing', International Journal of Social Robotics, vol. 10, no. 2, pp. 211-223.
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Patel, OP, Tiwari, A, Chaudhary, R, Nuthalapati, SV, Bharill, N, Prasad, M, Hussain, FK & Hussain, OK 2018, 'Enhanced quantum-based neural network learning and its application to signature verification', Soft Computing, pp. 1-14.
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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 (Oxford, England), vol. 34, no. 18, pp. 3069-3077.
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Qiao, M, Yu, J, Bian, W, Li, Q & Tao, D 2018, 'Adapting Stochastic Block Models to Power-Law Degree Distributions.', IEEE transactions on cybernetics.
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Roselin, AG, Nanda, P, Nepal, S & He, X 2018, 'Testbed Evaluation of Lightweight Authentication Protocol(LAUP) fo r6LoWPAN wireless sensor networks', Concurrency and Computation: Practice and Experience.
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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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Schönbach, C, Li, J, Ma, L, Horton, P, Sjaugi, MF & Ranganathan, S 2018, 'A bioinformatics potpourri.', BMC genomics, vol. 19, no. Suppl 1, p. 920.
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Shen, J, Liang, Z, Liu, J, Sun, H, Shao, L & Tao, D 2018, 'Multiobject Tracking by Submodular Optimization', IEEE Transactions on Cybernetics.
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Shen, W, Wu, Y, Yuan, J, Duan, L, Zhang, J & Jia, Y 2018, 'Robust Distracter-Resistive Tracker via Learning a Multi-Component Discriminative Dictionary', IEEE Transactions on Circuits and Systems for Video Technology.
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Shen, X, Liu, T, Tao, D, Fan, Y, Zhang, J, Li, S, Jiang, J, Zhu, W, Wang, Y, Wang, Y, Brodaty, H, Sachdev, P & Wen, W 2018, 'Variation in longitudinal trajectories of cortical sulci in normal elderly.', NeuroImage, vol. 166, pp. 1-9.
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Shen, X, Tian, X, Liu, T, Xu, F & Tao, D 2018, 'Continuous Dropout', IEEE Transactions on Neural Networks and Learning Systems.
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Takalkar, M, Xu, M, Wu, Q & Chaczko, Z 2018, 'A survey: facial micro-expression recognition', Multimedia Tools and Applications, pp. 1-25.
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Tur-Porcar, A, Mas-Tur, A, Merigó, JM, Roig-Tierno, N & Watt, J 2018, 'A Bibliometric History of the Journal of Psychology Between 1936 and 2015.', The Journal of psychology, vol. 152, no. 4, pp. 199-225.
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Usman, M, He, X, Lam, KKM, Xu, M, Chen, J, Bokhari, SMM & Jan, MA 2018, 'Error Concealment for Cloud-based and Scalable Video Coding of HD Videos', IEEE Transactions on Cloud Computing.
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Usman, M, Jan, MA, He, X & Alam, M 2018, 'Performance evaluation of High Definition video streaming over Mobile Ad Hoc Networks', Signal Processing, vol. 148, pp. 303-313.
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Usman, M, Jan, MA, He, X & Chen, J 2018, 'A Mobile Multimedia Data Collection Scheme for Secured Wireless Multimedia Sensor Networks', IEEE Transactions on Network Science and Engineering.
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Usman, M, Jan, MA, He, X & Nanda, P 2018, 'QASEC: A secured data communication scheme for mobile Ad-hoc networks', Future Generation Computer Systems.
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Usman, M, Yang, N, Jan, MA, He, X, Xu, M & Lam, KM 2018, 'A Joint Framework for QoS and QoE for Video Transmission over Wireless Multimedia Sensor Networks', IEEE Transactions on Mobile Computing, vol. 17, no. 4.
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Valenzuela Fernandez, LM, Nicolas, C, Merigó, JM & Arroyo-Cañada, FJ 2018, 'Industrial marketing research. A bibliometric analysis (1990-2015)', Journal of Business and Industrial Marketing.
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Valenzuela-Fernández, L, Merigó, JM & Nicolas, C 2018, 'The most influential countries in market orientation: A bibliometric analysis between 1990 and 2016', International Journal of Engineering Business Management, vol. 10.
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van Rijmenam, M, Erekhinskaya, T, Schweitzer, J & Williams, MA 2018, 'Avoid being the turkey: How big data analytics changes the game of strategy in times of ambiguity and uncertainty', Long Range Planning.
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Wan, Y, Chen, L, Xu, G, Zhao, Z, Tang, J & Wu, J 2018, 'SCSMiner: mining social coding sites for software developer recommendation with relevance propagation', World Wide Web.
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Wan, Y, Xu, G, Chen, L, Zhao, Z & Wu, J 2018, 'Exploiting cross-source knowledge for warming up community question answering services', Neurocomputing, vol. 320, pp. 25-34.
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Wang, B, Yuan, X, Gao, X, Li, X & Tao, D 2018, 'A Hybrid Level Set With Semantic Shape Constraint for Object Segmentation', IEEE Transactions on Cybernetics.
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Wang, C, Chi, CH, She, Z, Cao, L & Stantic, B 2018, 'Coupled clustering ensemble by exploring data interdependence', ACM Transactions on Knowledge Discovery from Data, vol. 12, no. 6.
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Wang, C, Xu, C, Wang, C & Tao, D 2018, 'Perceptual Adversarial Networks for Image-to-Image Transformation', IEEE Transactions on Image Processing, vol. 27, no. 8, pp. 4066-4079.
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Wang, D, Deng, S & Xu, G 2018, 'Sequence-based context-aware music recommendation', Information Retrieval Journal, vol. 21, no. 2-3, pp. 230-252.
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Wang, D, Deng, S, Zhang, X & Xu, G 2018, 'Learning to embed music and metadata for context-aware music recommendation', World Wide Web, pp. 1-25.
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Wang, H, Wu, J, Zhu, X, Chen, Y & Zhang, C 2018, 'Time-Variant Graph Classification', IEEE Transactions on Systems, Man, and Cybernetics: Systems.
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Wang, L, Bao, X, Chen, H & Cao, L 2018, 'Effective lossless condensed representation and discovery of spatial co-location patterns', Information Sciences, vol. 436-437, pp. 197-213.
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Wang, N, Gao, X, Tao, D, Yang, H & Li, X 2018, 'Facial feature point detection: A comprehensive survey', Neurocomputing, vol. 275, pp. 50-65.
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Wang, R & Tao, D 2018, 'Training Very Deep CNNs for General Non-Blind Deconvolution', IEEE Transactions on Image Processing, vol. 27, no. 6, pp. 2897-2910.
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Wang, R, Liu, T & Tao, D 2018, 'Multiclass Learning With Partially Corrupted Labels', IEEE Transactions on Neural Networks and Learning Systems.
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Wang, S & Cao, L 2018, 'Inferring Implicit Rules by Learning Explicit and Hidden Item Dependency', IEEE Transactions on Systems Man and Cybernetics: Systems.
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Wang, W, Laengle, S, Merigó, JM, Yu, D, Herrera-Viedma, E, Cobo, MJ & Bouchon-Meunier, B 2018, 'A Bibliometric Analysis of the First Twenty-Five Years of the International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems', International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems, vol. 26, no. 2, pp. 169-193.
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Wang, Y, Feng, C, Chen, L, Yin, H, Guo, C & Chu, Y 2018, 'User identity linkage across social networks via linked heterogeneous network embedding', World Wide Web, pp. 1-22.
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Wang, Y, Wang, Z, Jia, W, He, X & Jiang, M 2018, 'Joint Learning of Body and Part Representation for Person Re-Identification', IEEE Access, vol. 6, pp. 44199-44210.
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Wang, Y, Xu, C, Xu, C & Tao, D 2018, 'Packing Convolutional Neural Networks in the Frequency Domain', IEEE Transactions on Pattern Analysis and Machine Intelligence.
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Wang, Y, Zhang, J, Liu, Z, Wu, Q, Zhang, Z & Jia, Y 2018, 'Depth Super-Resolution on RGB-D Video Sequences with Large Displacement 3D Motion', IEEE Transactions on Image Processing, vol. 27, no. 7, pp. 3571-3585.
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Wang, Z & Piccardi, M 2018, 'Minimum-risk temporal alignment of videos', Multimedia Tools and Applications.
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Wong, JKW, Ge, J & He, SX 2018, 'Digitisation in facilities management: A literature review and future research directions', Automation in Construction, vol. 92, pp. 312-326.
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Wright, ST, Ryan, LM & Pham, T 2018, 'A novel case-control subsampling approach for rapid model exploration of large clustered binary data.', Statistics in Medicine, vol. 37, no. 6, pp. 899-913.
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Wu, J, Pan, S, 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.
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Wu, W, Li, B, Chen, L, Zhang, C & Yu, P 2018, 'Improved Consistent Weighted Sampling Revisited', IEEE Transactions on Knowledge and Data Engineering.
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Wu, W, Li, B, Chen, L, Zhu, X & Zhang, C 2018, 'K-Ary Tree Hashing for Fast Graph Classification', IEEE Transactions on Knowledge and Data Engineering, vol. 30, no. 5, pp. 936-949.
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Wu, Z, Li, G, Liu, Q, Xu, G & Chen, E 2018, 'Covering the Sensitive Subjects to Protect Personal Privacy in Personalized Recommendation', IEEE Transactions on Services Computing, pp. 493-508.
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Wu, Z, Xu, G, Lu, C, Chen, E, Jiang, F & Li, G 2018, 'An effective approach for the protection of privacy text data in the CloudDB', World Wide Web, pp. 1-24.
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Xie, Y, Tao, D, Zhang, W, Liu, Y, Zhang, L & Qu, Y 2018, 'On Unifying Multi-view Self-Representations for Clustering by Tensor Multi-rank Minimization', International Journal of Computer Vision, vol. 126, no. 11, pp. 1157-1179.
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Xiong, F, Wang, X, Pan, S, Yang, H, Wang, H & Zhang, C 2018, 'Social Recommendation With Evolutionary Opinion Dynamics', IEEE Transactions on Systems, Man, and Cybernetics: Systems.
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Xu, G 2018, 'Unsupervised Keyword Extraction from Microblog Posts via Hashtags', Journal of Web Engineering, vol. 17 (1&2).
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Xu, Z, Huang, S, Zhang, Y & Tao, D 2018, 'Webly-Supervised Fine-Grained Visual Categorization via Deep Domain Adaptation', IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 40, no. 5, pp. 1100-1113.
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Yang, E, Deng, C, Li, C, Liu, W, Li, J & Tao, D 2018, 'Shared Predictive Cross-Modal Deep Quantization.', IEEE transactions on neural networks and learning systems, vol. 29, no. 11, pp. 5292-5303.
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Yang, N, Fan, X, Puthal, D, He, X, Nanda, P & Guo, S 2018, 'A Novel Collaborative Task Offloading Scheme for Secure and Sustainable Mobile Cloudlet Networks', IEEE Access, vol. 6.
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Yang, W, Li, J, Zheng, H & Xu, RYD 2018, 'A Nuclear Norm Based Matrix Regression Based Projections Method for Feature Extraction', IEEE Access, vol. 6, pp. 7445-7451.
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Yang, X, Wang, M & Tao, D 2018, 'Person Re-Identification with Metric Learning Using Privileged Information', IEEE Transactions on Image Processing, vol. 27, no. 2, pp. 791-805.
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Yao, J, Wang, J, Tsang, IW, Zhang, Y, Sun, J, Zhang, C & Zhang, R 2018, 'Deep Learning from Noisy Image Labels with Quality Embedding', IEEE Transactions on Image Processing.
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Yao, Y, Shen, F, Zhang, J, Liu, L, Tang, Z & Shao, L 2018, 'Discovering and Distinguishing Multiple Visual Senses for Web Learning', IEEE Transactions on Multimedia.
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Ying, H, Wu, J, Xu, G, Liu, Y, Liang, T, Zhang, X & Xiong, H 2018, 'Time-aware metric embedding with asymmetric projection for successive POI recommendation', World Wide Web, pp. 1-16.
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Yu, D, Fu, B, Xu, G & Qin, A 2018, 'Constrained nonnegative matrix factorization-based semi-supervised multi-label learning', International Journal of Machine Learning and Cybernetics.
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Yu, J, Hong, C, Rui, Y & Tao, D 2018, 'Multitask Autoencoder Model for Recovering Human Poses', IEEE Transactions on Industrial Electronics, vol. 65, no. 6, pp. 5060-5068.
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Yu, Z, Yu, J, Xiang, C, Fan, J & Tao, D 2018, 'Beyond Bilinear: Generalized Multimodal Factorized High-Order Pooling for Visual Question Answering', IEEE Transactions on Neural Networks and Learning Systems.
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Yusoff, B, Merigó, JM, Ceballos, D & Peláez, JI 2018, 'Weighted-selective aggregated majority-OWA operator and its application in linguistic group decision making', International Journal of Intelligent Systems, vol. 33, no. 9, pp. 1929-1948.
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Zhan, K, Chang, X, Guan, J, Chen, L, Ma, Z & Yang, Y 2018, 'Adaptive Structure Discovery for Multimedia Analysis Using Multiple Features.', IEEE transactions on cybernetics.
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Zhang, B, Li, J & Lü, Q 2018, 'Prediction of 8-state protein secondary structures by a novel deep learning architecture.', BMC bioinformatics, vol. 19, no. 1, p. 293.
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Zhang, G, Piccardi, M & Zare Borzeshi, E 2018, 'Sequential Labeling With Structural SVM Under Nondecomposable Losses', IEEE Transactions on Neural Networks and Learning Systems.
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Zhang, J, Wu, Q, Shen, C, Zhang, J & Lu, J 2018, 'Multilabel Image Classification with Regional Latent Semantic Dependencies', IEEE Transactions on Multimedia, vol. 20, no. 10, pp. 2801-2813.
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Zhang, J, Yu, J & Tao, D 2018, 'Local Deep-Feature Alignment for Unsupervised Dimension Reduction', IEEE Transactions on Image Processing, vol. 27, no. 5, pp. 2420-2432.
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Zhang, L, Zhang, Q, Du, B, Huang, X, Tang, YY & Tao, D 2018, 'Simultaneous spectral-spatial feature selection and extraction for hyperspectral images', IEEE Transactions on Cybernetics, vol. 48, no. 1, pp. 16-28.
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Zhang, Q, Liu, Y, Blum, RS, Han, J & Tao, D 2018, 'Sparse representation based multi-sensor image fusion for multi-focus and multi-modality images: A review', Information Fusion, vol. 40, pp. 57-75.
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Zhang, Q, Shi, C, Niu, Z & Cao, L 2018, 'HCBC: A Hierarchical Case-Based Classifier Integrated with Conceptual Clustering', IEEE Transactions on Knowledge and Data Engineering.
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Zhang, Q, Wu, J, Zhang, P, Long, G & Zhang, C 2018, 'Salient Subsequence Learning for Time Series Clustering', IEEE Transactions on Pattern Analysis and Machine Intelligence.
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Zhang, Q, Wu, J, Zhang, Q, Zhang, P, Long, G & Zhang, C 2018, 'Dual influence embedded social recommendation', World Wide Web, vol. 21, no. 4, pp. 849-874.
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Zhang, Y, Wang, X, Bi, X & Tao, D 2018, 'A Light Dual-Task Neural Network for Haze Removal', IEEE Signal Processing Letters, vol. 25, no. 8, pp. 1231-1235.
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Zhang, Z, Chen, J, Wu, Q & Shao, L 2018, 'GII Representation-based cross-view gait recognition by discriminative projection with list-wise constraints', IEEE Transactions on Cybernetics, vol. 48, no. 10, pp. 2935-2947.
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Zhao, J, Mao, X & Zhang, J 2018, 'Learning deep facial expression features from image and optical flow sequences using 3D CNN', Visual Computer, vol. 34, no. 10, pp. 1461-1475.
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Zhao, L, Wu, S, Jiang, J, Li, W, Luo, J & Li, J 2018, 'Novel overlapping subgraph clustering for the detection of antigen epitopes.', Bioinformatics (Oxford, England), vol. 34, no. 12, pp. 2061-2068.
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Zhao, Y, You, X, Yu, S, Xu, C, Yuan, W, Jing, XY, Zhang, T & Tao, D 2018, 'Multi-view manifold learning with locality alignment', Pattern Recognition, vol. 78, pp. 154-166.
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Zhao, Z, Peng, H, Lan, C, Zheng, Y, Fang, L & Li, J 2018, 'Imbalance learning for the prediction of N6-Methylation sites in mRNAs.', BMC genomics, vol. 19, no. 1, p. 574.
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Zhu, C, Cao, L, Liu, Q, Yin, J & Kumar, V 2018, 'Heterogeneous Metric Learning of Categorical Data with Hierarchical Couplings', IEEE Transactions on Knowledge and Data Engineering, vol. 30, no. 7, pp. 1254-1267.
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Zhu, F, Gao, J, Xu, C, Yang, J & Tao, D 2018, 'On Selecting Effective Patterns for Fast Support Vector Regression Training', IEEE Transactions on Neural Networks and Learning Systems.
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Zhu, M, He, B & Wu, Q 2018, 'Single Image Dehazing Based on Dark Channel Prior and Energy Minimization', IEEE Signal Processing Letters, vol. 25, no. 2, pp. 174-178.

Zuo, Y, Wu, Q, Zhang, J & An, P 2018, 'Explicit Edge Inconsistency Evaluation Model for Color-guided Depth Map Enhancement', IEEE Transactions on Circuits and Systems for Video Technology.
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Zuo, Y, Wu, Q, Zhang, J & An, P 2018, 'Minimum Spanning Forest with Embedded Edge Inconsistency Measurement Model for Guided Depth Map Enhancement', IEEE Transactions on Image Processing, vol. 27, no. 8, pp. 4145-4159.
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Conferences

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, The 12th International Conference on Broad-Band Wireless Computing, Communication and Applications, Springer, Barcelona, Spain, pp. 533-543.
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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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Biddle, R, Liu, S, Tilocca, P & Xu, G 2018, 'Automated Underwriting in Life Insurance: Predictions and Optimisation', Australasian Database Conference.
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Brownlow, J, Chu, C, Fu, B, Xu, G, Culbert, B & Meng, Q 2018, 'Cost-sensitive churn prediction in fund management services', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 776-788.
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Brownlow, J, Chu, C, Fu, B, Xu, G, Culbert, B & Meng, Q 2018, 'Cost-sensitive Churn Prediction in Fund Management Services - Industrial Track', the 23rd International Conference on Database Systems for Advanced Applications, Australia.
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Brownlow, J, Chu, C, Xu, G, Culbert, B, Fu, B & Meng, Q 2018, 'A Multiple Source based Transfer Learning Framework for Marketing Campaigns', the 2018 International Joint Conference on Neural Networks, Rio De Janeiro, Brasil.
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Cobo, MJ, Wang, W, Laengle, S, Merigó, JM, Yu, D & Herrera-Viedma, E 2018, 'Co-words analysis of the last ten years of the international journal of uncertainty, fuzziness and knowledge-based systems', Communications in Computer and Information Science, pp. 667-677.
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Culbert, B, Fu, B, Brownlow, J, Chu, C, Meng, Q & Xu, G 2018, 'Customer Churn Prediction in Superannuation: A Sequential Pattern Mining Approach', Australasian Database Conference.
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Cunill, OM, Gil-Lafuente, AM, Merigó, JM & González, LO 2018, 'Academic contributions in asian tourism research: A bibliometric analysis', Advances in Intelligent Systems and Computing, pp. 326-342.
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Cunill, OM, Gil-Lafuente, AM, Merigó, JM & González, LO 2018, 'Asian academic research in tourism with an international impact: A bibliometric analysis of the main academic contributions', Advances in Intelligent Systems and Computing, pp. 307-325.
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Fan, X, He, X, Puthal, D, Chen, S, Xiang, C, Nanda, P & Rao, X 2018, 'CTOM: Collaborative Task Offloading Mechanism for Mobile Cloudlet Networks', 2018, IEEE International Conference on Communications, ICC 2018, Kansas City, MO, USA.
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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, pp. 57-71.
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Gong, Y, Li, Z, Zhang, J, Liu, W, Zheng, Y & Kirsch, C 2018, 'Network-wide Crowd Flow Prediction of Sydney Trains via customized Online Non-negative Matrix Factorization', The 27th ACM International Conference on Information and Knowledge Management, Turin, Italy.
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Gui, M, Zhang, Z, Yang, Z, Gu, Y & Xu, G 2018, 'An Effective Joint Framework for Document Summarization', Companion of the The Web Conference 2018 on The Web Conference 2018.
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Guo, D, Zhao, W, Cui, Y, Wang, Z, Chen, S & Zhang, J 2018, 'Siamese network based features fusion for adaptive visual tracking', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 759-771.
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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, pp. 125-126.
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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, pp. 1744-1753.
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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', Association for the Advancement of Artificial Intelligence, Louisiana, USA.

Malik, N, Nanda, P, Arora, A, He, X & Puthal, D 2018, 'Blockchain Based Secured Identity Authentication and Expeditious Revocation Framework for vehicular Networks', IEEE Computer Society, The 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications (IEEE TrustCom-18), New York.
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Merigó, JM, Herrera-Viedma, E, Cobo, MJ, Laengle, S & Rivas, D 2017, 'A bibliometric analysis of the first twenty years of soft computing', Proceedings of the Conference of the European Society for Fuzzy Logic and Technology, nternational Workshop on Intuitionistic Fuzzy Sets and Generalized Nets, Springer International Publishing, Warsaw, Poland, pp. 517-528.
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Nanda, A, Nanda, P, He, X, Puthal, D & Jamdagni, A 2018, 'A Novel Hybrid Authentication Model for Geo Location Oriented Routing in Dynamic Wireless Mesh Networks', Proceedings of the 51st Hawaii International Conference on System Sciences 2018, 51st Hawaii International Conference on System Sciences 2018, Hawaii, USA, pp. 5532-5541.
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Pang, G, Cao, L, Chen, L, Liu, H & Lian, D 2018, 'Sparse Modeling-based Sequential Ensemble Learning for Effective Outlier Detection in High-dimensional Numeric Data.', Association for the Advancement of Artificial Intelligence.

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, pp. 2041-2050.
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Peng, H, Zheng, Y, Zhao, Z, Liu, T & Li, J 2018, 'Recognition of CRISPR/Cas9 off-target sites through ensemble learning of uneven mismatch distributions', Bioinformatics, pp. i757-i765.
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Peppas, P & Williams, M 2018, 'Parametrised Difference Revision', Principles of Knowledge Representation and Reasoning.

Poostchi, H, Zare Borzeshi, E & Piccardi, M 2018, 'BiLSTM-CRF for Persian Named-Entity RecognitionArmanPersoNERCorpus: the First Entity-Annotated Persian Dataset', 11th Edition of the Language Resources and Evaluation Conference, Miyazaki, Japan.
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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', the 2018 International Joint Conference on Neural Networks, Rio De Janeiro.
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Saeed, Z, Razzak, I, Abbasi, R & Xu, G 2018, 'Text Stream to Temporal Network - A Dynamic Heartbeat Graph to Detect Emerging Events on Twitter', The 22nd Pacific-Asia Conference on Knowledge Discovery and Data, Australia.
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Seifollahi, S, Piccardi, M & Zare Borzeshi, E 2017, 'A semi-supervised hidden Markov topic model based on prior knowledge', Data Mining, The 15th Australasian Data Mining Conference, Springer, Melbourne, VIC, Australia,, pp. 265-276.
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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 International Joint Conference on Artificial Intelligence, pp. 4345-4352.
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Shi, H, He, W & Xu, G 2018, 'Workshop Proposal on Knowledge Discovery from Digital Libraries', Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, pp. 429-430.
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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, pp. 407-415.
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Umair, A, Nanda, P, He, X & Choo, K-KR 2018, 'User Relationship Classification of Facebook Messenger Mobile Data using WEKA', Springer, Lecture Notes in Computer Science, 12th International Conference on Network and System Security, Hong Kong.
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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, ACM/IEEE International Conference on Human-Robot Interaction 2018, ACM, Chicago, pp. 379-387.
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Vo, NNY, Liu, S, Xu, G & He, X 2018, 'Multimodal Mixture Density Boosting Network for Personality Mining', Advances in Knowledge Discovery and Data Mining, The 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining, Springer, Melbourne, Australia, pp. 644-655.
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Vo, NNY, Xu, G, Liu, S, Brownlow, EJ, Culbert, B & Chu, C 2018, 'Client Churn Prediction with Call Log Analysis', Database Systems for Advanced Applications, 23rd International Conference on Database Systems for Advanced Applications (DASFAA 2018), Springer, Gold Coast, Australia, pp. 752-763.
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Wan, Y, Zhao, Z, Yang, M, Xu, G, Ying, H, Wu, J & Yu, PS 2018, 'Improving Automatic Source Code Summarization via Deep Reinforcement Learning', The 33rd IEEE/ACM International Conference on Automated Software Engineering, Corum, Montpellier, France.
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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, pp. 2861-2867.
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Xu, J & Cao, L 2018, 'Vine copula-based asymmetry and tail dependence modeling', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 285-297.
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Xu, J, Wei, W & Cao, L 2018, 'Copula-based high dimensional cross-market dependence modeling', Proceedings - 2017 International Conference on Data Science and Advanced Analytics, DSAA 2017, pp. 734-743.
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Yao, Y, Zhang, J, Shen, F, Yang, W, Hua, XS & Tang, Z 2018, 'Extracting privileged information from untagged corpora for classifier learning', IJCAI International Joint Conference on Artificial Intelligence, pp. 1085-1091.
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Yin, J, Zhou, Z, Liu, S, Wu, Z & Xu, G 2018, 'Social Spammer Detection: A Multi-Relational Embedding Approach', The 22nd Pacific-Asia Conference on Knowledge Discovery and Data, Australia.
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Ying, H, Zhuang, F, Zhang, F, Liu, Y, Xu, G, Xie, X, Xiong, H & Wu, J 2018, 'Sequential Recommender System based on Hierarchical Attention Networks', the 27th International Joint Conference on Artificial Intelligence.
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Yusoff, B, Merigó, JM & Hornero, DC 2018, 'Analysis on extensions of multi-expert decision making model with respect to OWA-based aggregation processes', Advances in Intelligent Systems and Computing, pp. 179-196.
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Yusoff, B, Merigó, JM & Hornero, DC 2018, 'Generalized OWA-TOPSIS model based on the concept of majority opinion for group decision making', Advances in Intelligent Systems and Computing, pp. 124-139.
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Zhang, J, Wu, Q, Shen, C, Zhang, J, Lu, J & van den Hengel, A 2018, 'Goal-Oriented Visual Question Generation via Intermediate Rewards', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 189-204.
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Zhang, L, Xu, J, Zhang, J & Gong, Y 2018, 'Information Enhancement for Travelogues via a Hybrid Clustering Model'.
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Zhang, P, Wu, Q, Xu, J & Jian, Z 2018, 'Long-Term Person Re-identification Using True Motion from Videos', 2018 IEEE Winter Conference on Applications of Computer Vision, Lake Tahoe, NV, USA, pp. 494-502.
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Zhou, Z, Liu, S, Xu, G, Xie, X, Yin, J, Li, Y & Zhang, W 2018, 'Knowledge-based Recommendation with Hierarchical Collaborative Embedding', The 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining, Melbourne, Australia.
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