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Publications

Books

Ashraf, J., Hussain, O.K., Hussain, F.K. & Chang, E.J. 2018, Preface.

Chapters

Ashraf, J., Hussain, O.K., Hussain, F.K. & Chang, E.J. 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, O.K., Hussain, F.K. & Chang, E.J. 2018, 'Evaluation of U Ontology' in Studies in Computational Intelligence, pp. 243-268.
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Ashraf, J., Hussain, O.K., Hussain, F.K. & Chang, E.J. 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, O.K., Hussain, F.K. & Chang, E.J. 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, O.K., Hussain, F.K. & Chang, E.J. 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, O.K., Hussain, F.K. & Chang, E.J. 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, O.K., Hussain, F.K. & Chang, E.J. 2018, 'Motivation' in Studies in Computational Intelligence, pp. 1-21.
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Ashraf, J., Hussain, O.K., Hussain, F.K. & Chang, E.J. 2018, 'New Research Directions' in Studies in Computational Intelligence, pp. 269-271.
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Ashraf, J., Hussain, O.K., Hussain, F.K. & Chang, E.J. 2018, 'Ontology Usage Analysis Framework (OUSAF)' in Studies in Computational Intelligence, pp. 49-62.
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Ashraf, J., Hussain, O.K., Hussain, F.K. & Chang, E.J. 2018, 'Representation Phase: Ontology Usage Ontology (U Ontology)' in Studies in Computational Intelligence, pp. 171-203.
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Ashraf, J., Hussain, O.K., Hussain, F.K. & Chang, E.J. 2018, 'Utilization Phase: Utilization of OUSAF' in Studies in Computational Intelligence, pp. 205-242.
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Lee, T., Ghapanchi, A.H., Talaei-Khoei, A. & Ray, P. 2018, 'Strategic information system planning in healthcare organizations' in Global Business Expansion: Concepts, Methodologies, Tools, and Appl., pp. 1048-1077.
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Li, J., Chen, Z. & Ma, Z. 2018, 'Learning Colours from Textures by Sparse Manifold Embedding' in Yurish, S.Y. (ed), Advances in Signal Processing: Reviews, ISFA.
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Mathieson, L., Cotta, C. & Moscato, P. 2018, 'Memetic Algorithms' in Resende, M.G.C., Marti, R. & Pardalos, P.M. (eds), Handbook of Heuristics, Springer.

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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van den Hoven, E.A., Broekhuijsen, M. & Mols, I. 2018, 'Design Applications for Social Remembering' in Meade, M.L., Harris, C.B., Van Bergen, P., Sutton, J. & Barnier, A. (eds), Collaborative remembering:  Theories, research, and applications, Oxford University Press, Oxford, UK, pp. 386-403.
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Za'in, C., Pratama, M., Prasad, M., Puthal, D., Lim, C.P. & 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, pp. 15-44.
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Journal articles

Alshehri, M.D., 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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Alzoubi, Y., Gill, A.Q. & Moulton, B. 2018, 'A measurement model to analyze the effect of agile enterprise architecture on geographically distributed agile development', Journal of Software Engineering Research and Development, vol. 6, no. 4.
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Anshar, M. & Williams, M.A. 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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Babar, A., Bunker, D. & Gill, A.Q. 2018, 'Investigating the Relationship between Business Analysts’ Competency and IS Requirements Elicitation: A Thematic-analysis Approach', Communications of the Association for Information Systems, vol. 42, no. 1, pp. 334-362.

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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Bano, M., Zowghi, D., Kearney, M., Schuck, S. & Aubusson, P. 2018, 'Mobile learning for science and mathematics school education: A systematic review of empirical evidence', Computers and Education, vol. 121, pp. 30-58.
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Beck, D., Thoms, J.A.I., Palu, C., Herold, T., Shah, A., Olivier, J., Boelen, L., Huang, Y., Chacon, D., Brown, A., Babic, M., Hahn, C., Perugini, M., Zhou, X., Huntly, B.J., Schwarzer, A., Klusmann, J.-.H., Berdel, W.E., Wörmann, B., Büchner, T., Hiddemann, W., Bohlander, S.K., To, L.B., Scott, H.S., Lewis, I.D., D'Andrea, R.J., Wong, J.W.H. & Pimanda, J.E. 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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Berta, M., Scholz, V.B. & Tomamichel, M. 2018, 'Rényi Divergences as Weighted Non-commutative Vector-Valued Lp-Spaces', Annales Henri Poincare, vol. 19, no. 6, pp. 1843-1867.
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Bluff, A., Johnston, A. & Clarkson, D. 2018, 'Interaction, Narrative and Animation in Live Theatre', IEEE Computer Graphics and Applications, vol. 38, no. 2, pp. 8-14.
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Boixo, S., Isakov, S.V., Smelyanskiy, V.N., Babbush, R., Ding, N., Jiang, Z., Bremner, M.J., Martinis, J.M. & Neven, H. 2018, 'Characterizing Quantum Supremacy in Near-Term Devices'.
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Bown, O. & Ferguson, S. 2018, 'Creative Media + the Internet of Things = Media Multiplicities', Leonardo, vol. 51, no. 1, pp. 53-54.
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Bown, O. & Ferguson, S.J. 2018, 'Understanding media multiplicities', Entertainment Computing, vol. 25, pp. 62-70.
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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.
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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, 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, Z. & Lin, C.T. 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, pp. 333102417733953-333102417733953.
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Chapman, R.J., Karim, A., Huang, Z., Flammia, S.T., Tomamichel, M. & Peruzzo, A. 2018, 'Beating the classical limits of information transmission using a quantum decoder', Physical Review A, vol. 97, no. 1.
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Chen, S., Wang, Z., Yuan, X. & Liang, J. 2018, 'Uncertainty-aware Visual Analytics for Exploring Human Behaviors from Heterogeneous Spatial Temporal Data', Journal of Visual Languages and Computing.

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, R.K., Chang, E.C., Lu, Y.-.C., Lin, D.-.S., Lin, C.-.T. & Ko, L.-.W. 2018, 'Monetary Reward and Punishment to Response Inhibition Modulate Activation and Synchronization Within the Inhibitory Brain Network.', Frontiers in human neuroscience, vol. 12, p. 27.
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Chotipant, S., Hussain, F.K. & Hussain, O.K. 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, p. 181.
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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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Ding, W., Lin, C.T. & Cao, Z. 2018, 'Deep Neuro-Cognitive Co-Evolution for Fuzzy Attribute Reduction by Quantum Leaping PSO With Nearest-Neighbor Memeplexes', IEEE Transactions on Cybernetics.
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Ding, W., Lin, C.T. & 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, C.T., 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, C.T., Prasad, M., Cao, Z. & Wang, J.D. 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.
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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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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 (Switzerland), vol. 18, no. 6.
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El-Sayed, H., Sankar, S., Prasad, M., Puthal, D., Gupta, A., Mohanty, M. & Lin, C.T. 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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Gärdenfors, P. 2018, 'Levels of communication and lexical semantics', Synthese, pp. 1-21.
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Gill, A.Q., Henderson-Sellers, B. & Niazi, M. 2018, 'Scaling for agility: A reference model for hybrid traditional-agile software development methodologies', Information Systems Frontiers: a journal of research and innovation, vol. 20, no. 2, pp. 315-341.
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Graham, C., Smith, W., Moncur, W. & van den Hoven, E. 2018, 'Introduction: Mortality in design', Design Issues, vol. 34, no. 1, pp. 3-14.
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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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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, I.W., Chen, L., Yu, C.P. & Fung, S.F. 2018, 'Progressive Stochastic Learning for Noisy Labels', IEEE Transactions on Neural Networks and Learning Systems.
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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, 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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Hua, J., Huang, M. & Wang, G. 2018, 'Graph Layout Performance Comparisons of Force-directed Algorithms', International Journal of Performability Engineering, vol. 14, no. 1, pp. 67-76.
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Hua, J., Huang, M., Zreika, M. & Wang, G. 2018, 'Applying Data Visualization Techniques for Stock Relationship Analysis', Filomat, vol. 32, no. 4.

Hussain, W., Hussain, F.K., Hussain, O., Bagia, R. & Chang, E. 2018, 'Risk-based framework for SLA violation abatement from the cloud service provider’s perspective', The Computer Journal.
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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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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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Kaiwartya, O., Abdullah, A.H., Cao, Y., Lloret, J., Kumar, S., Shah, R.R., 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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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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Lassetter, J.H., Macintosh, C.I., Williams, M., Driessnack, M., Ray, G. & Wisco, J.J. 2018, 'Psychometric testing of the healthy eating and physical activity self-efficacy questionnaire and the healthy eating and physical activity behavior recall questionnaire for children', Journal for Specialists in Pediatric Nursing, vol. 23, no. 2.
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Lenka, R.K., Rath, A.K., Tan, Z., Sharma, S., Puthal, D., Simha, N.V.R., Prasad, M., Raja, R. & Tripathi, S.S. 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, Y., Qiao, Y., Wang, X. & Duan, R. 2018, 'Tripartite-to-Bipartite Entanglement Transformation by Stochastic Local Operations and Classical Communication and the Structure of Matrix Spaces', Communications in Mathematical Physics, vol. 358, no. 2, pp. 791-814.
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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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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, C.T., Chiu, C.Y., Singh, A.K., King, J.T. & Wang, Y.K. 2018, 'A Wireless Multifunctional SSVEP-Based Brain Computer Interface Assistive System', IEEE Transactions on Cognitive and Developmental Systems.
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Lin, C.T., Hsieh, T.Y., Liu, Y.T., Lin, Y.Y., Fang, C.N., Wang, Y.K., Yen, G., Pal, N.R. & Chuang, C.H. 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, C.T., King, J.T., Fan, J.W., 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, C.T., King, J.T., Singh, A.K., Prasad, M., Ma, Z., Lin, J.W., Machado, A.M.C., Appaji, A. & Gupta, A. 2018, 'Voice Navigation Effects on Real-World Lane Change Driving Analysis using an Electroencephalogram', IEEE Access.
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Lin, C.T., Prasad, M., Chung, C.H., Puthal, D., El-Sayed, H., Sankar, S., Wang, Y.K., Singh, J. & Sangaiah, A.K. 2018, 'IoT-Based Wireless Polysomnography Intelligent System for Sleep Monitoring', IEEE Access, vol. 6, pp. 405-414.
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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, pp. 1-26.
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Liu, Y.T., Pal, N.R., Marathe, A.R. & Lin, C.T. 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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Manzoor, M., Hussain, W., Sohaib, O., Hussain, F.K. & 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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Nanda, P., Puthal, D., Obaidat, M.S., Prasad, M., Mohanty, S.P. & Zomaya, A.Y. 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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Nawaz, F., Janjua, N.K., Hussain, O.K., Hussain, F.K., 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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Nguyen, Q., Arness, D., Sanderson, C., Simoff, S. & Huang, M. 2018, 'Enabling Effective Tree Exploration Using Visual Cues', Journal of Visual Languages and Computing, vol. 47, pp. 44-61.
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Niazi, M., Mishra, A. & Gill, A.Q. 2018, 'What Do Software Practitioners Really Think About Software Process Improvement Project Success? An Exploratory Study', Arabian Journal for Science and Engineering, pp. 1-17.
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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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Oberst, S. & Tuttle, S. 2018, 'Nonlinear dynamics of thin-walled elastic structures for applications in space', Mechanical Systems and Signal Processing, vol. 110, pp. 469-484.
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Oberst, S., Baetz, J., Campbell, G., Lampe, F., Lai, J.C.S., Hoffmann, N. & Morlock, M.M. 2018, 'Vibro-acoustic and nonlinear analysis of cadavric femoral bone impaction in cavity preparations', International Journal of Mechanical Sciences, vol. 144, pp. 739-745.

Oberst, S., Baetz, J., Campbell, G., Lampe, F., Lai, J.C.S., Hoffmann, N.P. & Morlock, M. 2018, 'Vibro-acoustic and nonlinear analysis of cadavric femoral bone impaction in cavity preparations', MATEC Web of Conferences, vol. 148, pp. 14007-14007.
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Oberst, S., Tuttle, S., Griffith, D., Lambert, A. & Boyce, R. 2018, 'Experimental validation of tape springs to be used as thin-walled space structures', Journal of Sound and Vibration, vol. 419, pp. 558-570.
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Ojha, S., Williams, M.A. & 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, O.P., Tiwari, A., Chaudhary, R., Nuthalapati, S.V., Bharill, N., Prasad, M., Hussain, F.K. & Hussain, O.K. 2018, 'Enhanced quantum-based neural network learning and its application to signature verification', Soft Computing, pp. 1-14.
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Pfister, C., Rol, M.A., Mantri, A., Tomamichel, M. & Wehner, S. 2018, 'Capacity estimation and verification of quantum channels with arbitrarily correlated errors.', Nature communications, vol. 9, no. 1, p. 27.
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Pham, P. & Huang, M. 2018, 'Quantitative Approach on Parallel Coordinates andScatter Plots for Multidimensional-Data Visual Analytics', Journal of computers, vol. 13, no. 4, pp. 407-416.
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Ploderer, B. & Leong, T.W. 2018, 'Manual engagement and automation in amateur photography', Media International Australia, vol. 166, no. 1, pp. 44-56.
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Qumer Gill, A., Loumish, A., Riyat, I. & Han, S. 2018, 'DevOps for information management systems', VINE Journal of Information and Knowledge Management Systems, vol. 48, no. 1, pp. 122-139.
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Singh, A.K., Chen, H.T., Cheng, Y.F., King, J.T., Ko, L.W., Gramann, K. & Lin, C.T. 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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Stender, M., Tiedemann, M., Hoffmann, N. & Oberst, S. 2018, 'Impact of an irregular friction formulation on dynamics of a minimal model for brake squeal', Mechanical Systems and Signal Processing, vol. 107, pp. 439-451.
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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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Tamassia, M., Zambetta, F., Raffe, W.L., Mueller, F. & Li, X. 2018, 'Learning Options From Demonstrations: A Pac-Man Case Study', IEEE Transactions on Games, vol. 10, no. 1, pp. 91-96.
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Tomamichel, M. & Hayashi, M. 2018, 'Operational interpretation of Rényi information measures via composite hypothesis testing against product and markov distributions', IEEE Transactions on Information Theory, vol. 64, no. 2, pp. 1064-1082.
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Vichitvanichphong, S., Talaei-Khoei, A., Kerr, D. & Ghapanchi, A.H. 2018, 'Assistive technologies for aged care: Comparative literature survey on the effectiveness of theories for supportive and empowering technologies', Information Technology and People, vol. 31, no. 2, pp. 405-427.
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Wakefield, J., Tyler, J., Dyson, L.E. & Frawley, J.K. 2018, 'Implications of student-generated screencasts on final examination performance', Accounting and Finance.
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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, 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, 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.-.K., Jung, T.-.P. & Lin, C.-.T. 2018, 'Theta and Alpha Oscillations in Attentional Interaction during Distracted Driving.', Frontiers in behavioral neuroscience, vol. 12, p. 3.
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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, vol. 26, no. 2, pp. 400-406.
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Wen, D., Qin, L., Zhang, Y., Lin, X. & Yu, J.X. 2018, 'I/O Efficient Core Graph Decomposition: Application to Degeneracy Ordering', IEEE Transactions on Knowledge and Data Engineering.
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Wu, D., King, J.T., Chuang, C.H., Lin, C.T. & Jung, T.P. 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., 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, P.S. 2018, 'Multiple Structure-View Learning for Graph Classification', IEEE Transactions on Neural Networks and Learning Systems.
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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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Xu, D., Tsang, I. & Zhang, Y. 2018, 'Online Product Quantization', IEEE Transactions on Knowledge and Data Engineering.
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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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Yan, Z., Liu, J. & Liu, S. 2018, 'DPWeVote: differentially private weighted voting protocol for cloud-based decision-making', Enterprise Information Systems, pp. 1-21.
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Yang, J., Zhang, W., Yang, S., Zhang, Y., Lin, X. & Yuan, L. 2018, 'Efficient set containment join', VLDB Journal, pp. 1-25.
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Yasin, A., Liu, L., Li, T., Wang, J. & Zowghi, D. 2018, 'Design and preliminary evaluation of a cyber Security Requirements Education Game (SREG)', Information and Software Technology, vol. 95, pp. 179-200.
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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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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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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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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

Ahadi, A., Lal, S., Lister, R. & Hellas, A. 2018, 'Learning Programming, Syntax Errors and Institution-specific Factors', ACM International Conference Proceeding Series, pp. 90-96.
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Alshehri, M.D. & 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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Angelini, L., Mugellini, E., Abou Khaled, O., Couture, N., van den Hoven, E.A. & Bakker, S. 2018, 'Internet of Tangibles: Exploring the Interaction-Attention Continuum', the Twelfth International Conference on Tangible, Embedded, and Embodied Interaction, ACM, Stockholm, Sweden, pp. 740-743.
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Bano, M. & Zowghi, D. 2017, 'Crowd Vigilante Detecting Sabotage in Crowdsourcing', Requirements Engineering for Internet of Things, 4th Asia Pacific Requirements Engineering Symposium 2017, Springer, Melaka, Malaysia, pp. 114-120.
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Bano, M. & Zowghi, D. 2018, 'Crowd vigilante: Detecting sabotage in crowdsourcing', Communications in Computer and Information Science, pp. 114-120.
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Bano, M., Zowghi, D. & da Rimini, F. 2018, 'Power and Politics of User Involvement in Software Development', ACM, 22nd International Conference on Evaluation and Assessment in Software Engineering 2018, ACM, Christchurch Newzealand, pp. 157-162.
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Bano, M., Zowghi, D., Ferrari, A., Spoletini, P. & Donati, B. 2018, 'Learning from Mistakes: An Empirical Study of Elicitation Interviews performed by Novices', IEEE, International Requirements Engineering Conference, Banff, Alberta, Canada.
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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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Bou Ghantous, G. & Gill, A.Q. 2018, 'DevOps Reference Architecture for Multi-Cloud IOT Applications', 20th IEEE International Conference on Business Informatics, Vienna, Austria..

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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Chantamit-O-Pas, P. & Goyal, M. 2018, 'A Case-Based Reasoning Framework for Prediction of Stroke', Advances in Intelligent Systems and Computing, pp. 219-227.
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Cheng, H.C., Hsieh, M.H. & Tomamichel, M. 2018, 'Sphere-packing bound for classical-quantum channels', IEEE International Symposium on Information Theory - Proceedings, pp. 479-483.
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Chou, K.P., Li, D.L., Prasad, M., Lin, C.T. & Lin, W.C. 2018, 'A method to enhance the deep learning in an aerial image', 2017 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2017 - Proceedings, pp. 724-728.
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Chou, K.P., Prasad, M., Gupta, D., Sankar, S., Xu, T.W., Sundaram, S., Lin, C.T. & Lin, W.C. 2018, 'Block-based feature extraction model for early fire detection', 2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017 - Proceedings, pp. 1-6.
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Chou, K.P., Prasad, M., Puthal, D., Chen, P.H., Vishwakarma, D.K., Sundarami, S., Lin, C.T. & Lin, W.C. 2018, 'Fast Deformable Model for Pedestrian Detection with Haar-like features', 2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017 - Proceedings, pp. 1-8.
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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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Demediuk, S., Murrin, A., Bulger, D., Hitchens, M., Drachen, A., Raffe, W.L. & Tamassia, M. 2018, 'Player retention in league of legends: A study using survival analysis', ACM International Conference Proceeding Series.
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Demediuk, S., Tamassia, M., Raffe, W.L., Zambetta, F., Mueller, F.F. & Li, X. 2018, 'Measuring player skill using dynamic difficulty adjustment', ACM International Conference Proceeding Series.
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Fernando, K.E.S., Mcgregor, C. & James, A.G. 2018, 'CRISP-TDM0for standardized knowledge discovery from physiological data streams: Retinopathy of prematurity and blood oxygen saturation case study', 2017 IEEE Life Sciences Conference, LSC 2017, pp. 226-229.
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Garcia, J.A., Raffe, W.L. & Navarro, K.F. 2018, 'Assessing user engagement with a fall prevention game as an unsupervised exercise program for older people', ACM International Conference Proceeding Series.
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Gheisari, S., Catchpoole, D.R., Charlton, A. & Kennedy, P.J. 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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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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Gupta, D., Borah, P. & Prasad, M. 2018, 'A fuzzy based Lagrangian twin parametric-margin support vector machine (FLTPMSVM)', 2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017 - Proceedings, pp. 1-7.
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Herron, D., Moncur, W., Marija, C., Grubisic, D., Vistica, O. & van den Hoven, E. 2018, 'Digital Possessions in the Museum of Broken Relationships', CHI EA '18 Extended Abstracts, Conference on Human Factors in Computing Systems, Montreal QC, Canada.
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Herse, S., Vitale, J., Ebrahimian, D., Tonkin, M., Ojha, S., Sidra, S., Johnston, B., Phillips, S., Gudi, S.L.K.C., Clark, J., Judge, W. & Williams, M.A. 2018, 'Bon Appetit! Robot Persuasion for Food Recommendation', ACM/IEEE International Conference on Human-Robot Interaction, pp. 125-126.
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Inibhunu, C., Schauer, A., Redwood, O., Clifford, P. & Mcgregor, C. 2018, 'Predicting hospital admissions and emergency room visits using remote home monitoring data', 2017 IEEE Life Sciences Conference, LSC 2017, pp. 282-285.
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Inibhunu, C., Schauer, A., Redwood, O., Clifford, P. & Mcgregor, C. 2018, 'The impact of gender, medical history and vital status on emergency visits and hospital admissions: A remote patient monitoring case study', 2017 IEEE Life Sciences Conference, LSC 2017, pp. 278-281.
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Li, M., Zhang, Y., Sun, Y., Wang, W., Tsang, I.W. & Lin, X. 2018, 'An efficient exact nearest neighbor search by compounded embedding', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 37-54.
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Liu, C., Zowghi, D., Talaei-Khoei, A. & Daniel, J. 2018, 'Achieving Data Completeness in Electronic Medical Records: A Conceptual Model and Hypotheses Development', Proceedings of the 51st Hawaii International Conference on System Sciences, Hawaii International Conference on System Sciences 2018, -, Hilton Waikoloa Village, Hawaii, USA, pp. 2824-2833.
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Liu, S., Xu, G., Zhu, X. & Zhou, Z. 2017, 'Towards Simplified Insurance Application via Sparse Questionnaire Optimization', International Conference on Behavioral, Economic, and Socio-Cultural Computing, IEEE, Poland.
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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.

Mehar, A.M., Gill, A.Q. & Matawie, K. 2018, 'Analytical Model for Residential Predicting Energy Consumption', 20th IEEE International Conference on Business Informatics, The BAPAR workshop, Vienna, Austria..

Naik, T., Mcgregor, C. & James, A. 2018, 'Automated partial premature infant pain profile scoring using big data analytics', 2017 IEEE Life Sciences Conference, LSC 2017, pp. 246-249.
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Nejad, M.Z., 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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Padmanabha A G, A., Appaji M, A., Prasad, M., Lu, H. & Joshi, S. 2017, 'Classification of diabetic retinopathy using textural features in retinal color fundus image', Intelligent Systems and Knowledge Engineering (ISKE), 2017 12th International Conference on, IEEE, pp. 1-5.
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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.

Prysyazhnyuk, A., Baevsky, R., Berseneva, A., Chernikova, A., Luchitskaya, E., Rusanov, V. & Mcgregor, C. 2018, 'Big data analytics for enhanced clinical decision support systems during spaceflight', 2017 IEEE Life Sciences Conference, LSC 2017, pp. 296-299.
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R. Kridalukmana, H. Y. Lu & M. Naderpour 2018, 'An object oriented Bayesian network approach for unsafe driving maneuvers prevention system', 2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE), 2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE), pp. 1-6.
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Razzak, I., Saris, R.A. & 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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Rehman, J., Hawryszkiewycz, I.T. & Sohaib, O. 2018, 'Deriving High Performance Knowledge Sharing Culture (HPKSC): A Firm Performance & Innovation Capabilities Perspective', Twenty-Second Pacific Asia Conference on Information Systems, Japan.
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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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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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Singh, J., Prasad, M., Daraghmi, Y.A., Tiwari, P., Yadav, P., Bharill, N., Pratama, M. & Saxena, A. 2018, 'Fuzzy LogicHybrid model with semantic filtering approach for pseudo relevance feedback-based query expansion', 2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017 - Proceedings, pp. 1-7.
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Spoletini, P., Ferrari, A., Bano, M., Zowghi, D. & Gnesi, S. 2018, 'Interview Review: an Empirical Study on Detecting Ambiguities in Requirements Elicitation Interviews', Requirements Engineering: Foundation for Software Quality, Springer, Ultrecht, Netherlands, pp. 101-118.
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Tonkin, M., Vitale, J., Herse, S., Williams, M.A., 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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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, N.N.Y. & Xu, G. 2017, 'The volatility of Bitcoin returns and its correlation to financial markets', 2017 International Conference on Behavioral, Economic, Socio-cultural Computing (BESC), IEEE, Krakow, Poland.
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Vo, N.N.Y., 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, N.N.Y., Xu, G., Liu, S., Brownlow, E.J., 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, P.S. 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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Xu, G. 2017, 'Combining heterogeneous features for time series prediction', International Conference on Behavioral, Economic, Socio-cultural Computing, IEEE, Krakow, Poland.
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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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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), pp. 224-235.
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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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Zhou, Z., Xu, G., Zhu, X. & Liu, S. 2017, 'Latent Factor Analysis for Low-dimensional Implicit Preference Prediction', International Conference on Behavioral, Economic, Socio-cultural Computing, IEEE, Poland.
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Other

Gill, A.Q. 2018, 'SECURE INFORMATION ARCHITECTURE: SECURITY BY DESIGN'.
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