JOURNAL PUBLICATIONS AND BOOK CHAPTERS
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Aghabozorgi, S. and T. Y. Wah, Clustering of Large Time Series Datasets, Intelligent Data Analysis, vol. 18, no. 5, September 2014.
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Begum, N. and E. Keogh, Rare Time Series Motif Discovery From Unbounded Streams, Proceedings of the VLDB Endowment, vol. 8, no. 2, October 2014.
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Gong, D., G. Medioni, X. Zhao, Structured Time Series Analysis for Human Action Segmentation and Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 36, no. 7, July 2014.
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Kusakunniran, W., Recognizing Gaits on SpatioTemporal Feature Domain, IEEE Transactions on Information Forensics and Security, vol. 9, no. 9, September 2014.
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IJsselmuiden, J. et al., Automatic Understanding of Group Behavior Using Fuzzy Temporal Logic, Journal of Ambient Intelligence and Smart Environments, vol. 6, Nov. 2014.
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Tanaka, M. and S. Kurahashi, An Analysis of Customer Retention Rates By Time Series Data Mining, International Journal of Computer Applications in Technology, vol. 52, no. 2/3, September 2015.
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Ji, X.F., Study of Human Action Recognition Based on Improved Spatiotemporal Features, International Journal of Automation and Computing, vol. 11, no. 5, October 2014.
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Rauter, G. et al., Learning of Temporal and Spatial Movement Aspects: A Comparison of Four Types of Haptic Control and Concurrent Visual Feedback, IEEE Transactions on Haptics, Nov. 2015.
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Yang, H. et al., The Largescale Crowd Analysis Based On Sparse SpatialTemporal Local Binary Pattern, Multimedia Tools and Applications, vol. 73, no. 1, Nov. 2014.
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Xu, D. et al., Video Anomaly Detection Based on a Hierarchical Activity Discovery Within Spatiotemporal Contexts, Neurocomputing, vol. 143, Nov. 2014.
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Xue, X. et al., Trajectory-Based Detection of Urban Expansion Using Landsat Time Series, International Journal of Remote Sensing, vol. 35, no. 4, February 2014.
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Zhen, X., L. Shao, X. Li, Action Recognition by Spatiotemporal Oriented Energies, Information Sciences: an International Journal , vol. 281, October 2014.
CONFERENCE PUBLICATIONS •
Bagheri, S. and J. Y. Zheng, Temporal Mapping of Surveillance Video, Proceedings of the 22nd International Conference on Pattern Recognition, August 2014.
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Goergen, D. et al., Spatial and Temporal Analysis of Twitter: a Tale of Two Countries, IPTComm '14: Proceedings of the Conference on Principles, Systems and Applications of IP Telecommunications, October 2014.
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Hess, A., I. Marsh, and D. Gillblad, Exploring Communication and Mobility Behavior of 3G Network Users and its Temporal Consistency, IEEE International Conference on Communications, pp. 5916-5921, 2015.
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Mugan, J. et al., Identifying Groups of Interest Through Temporal Analysis and Event Response Monitoring, IEEE International Conference on Intelligence and Security Informatics (ISI), pp. 185-190, 2013.
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Pálovics, R. et al.,
Exploiting Temporal Influence in Online Recommendation,
RecSys '14: Proceedings of the 8th ACM Conference on Recommender Systems, October 2014.
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Rashidi, L., Profiling Spatial and Temporal Behaviour in Sensor Networks: A Case Study in Energy Monitoring, IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), 2014.
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Xiang, J. Fan, H., and J. Xu, Abnormal Behavior Detection Based on SpatialTemporal Features, International Conference on Machine Learning and Cybernetics (ICMLC) , vol. 2, pp. 871-876, 2013.
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Zhu, Z. et al., Fusing Onbody Sensing with Local and Temporal Cues for Daily Activity Recognition, Proceedings of the 9th International Conference on Body Area Networks, September 2014.
