JOURNAL PUBLICATIONS AND BOOK CHAPTERS

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Anders, N.S., A. C, Seijmonsbergen, and W. Bouten, Geomorphological Change Detection Using Object-Based Feature Extraction From Multi-Temporal LiDAR Data, IEEE Geoscience and Remote Sensing Letters, vol. 10, no. 6, pp. 1587-1591, 2013.

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Cheng, J. et al., Silhouette Analysis for Human Action Recognition Based on Supervised Temporal t-SNE and Incremental Learning, IEEE Transactions on Image Processing, vol. 24, no. 10, pp. 3203-3217, 2011.

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Esling, P. and C. Agon, Multiobjective Time Series Matching for Audio Classification and Retrieval,

EEE Transactions on Audio, Speech, and Language

Processing, vol. 21, no. 10, pp. 2057-2072, 2013. 

Huijse, P. et al., Computational Intelligence Challenges and Applications on LargeScale Astronomical Time Series Databases, IEEE Computational Intelligence Magazine, vol. 9, no. 3, pp. 27-39, 2014.

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Kusakunniran, W., Recognizing Gaits on Spatio-Temporal Feature Domain, IEEE Transactions on Information Forensics and Security, vol. 9, pp. 1416-1423, 2014.

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Loorak, M. H. et al., TimeSpan: Using Visualization to Explore Temporal Multidimensional Data of Stroke Patients, IEEE Transactions on Visualization and Computer Graphics, vol. 22, no. 1, pp. 409-418, 2016.

CONFERENCE PUBLICATIONS 

Baccouche, M. et al., Deep Learning of Split Temporal Context for Automatic Speech Recognition, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 5422-5426, 2014.

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Balti, H. and A. S. Elmaghraby, Emotion Analysis from Speech Using Temporal Contextual Trajectories, IEEE Symposium on Computers and Communication (ISCC), vol. 1, no. 7, 2014.

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Dagliati, A. et al., Temporal Data Mining and Process Mining Techniques to Identify Cardiovascular Risk-Associated Clinical Pathways in Type 2 Diabetes Patients, IEEEEMBS International Conference on Biomedical and Health Informatics (BHI) , pp. 240-243, 2014.

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Jiang, J. et al., Combining Background Subtraction and Temporal Persistency in Pedestrian Detection from Static Videos, 20th IEEE International Conference on Image Processing, 2013.

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Karahodza, B., Donko, D. and H. Supic, Temporal Dynamics of Changes in Group User's Preferences in Recommender Systems, 38th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), pp. 1262-1266, 2015.

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Kimura, T. et al., Spatio-temporal Factorization of Log Data for Understanding Network Events, Proceedings of IEEE INFOCOM, pp. 610-618, 2014.

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Lehman, L. et al., Tracking Progression of Patient State of Health in Critical Care Using Inferred Shared Dynamics in Physiological Time Series, 35th Annual International Conference of the IEEE in Engineering in Medicine and Biology Society (EMBC), pp. 7072-7075, 2013.

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Magdy, A. et al., Mercury: A Memory-Constrained Spatio-Temporal Real-time Search on Microblogs, IEEE 30th International Conference on Data Engineering (ICDE), 2014.

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Mokhtar, S.A., W. H. W. Ishak, and N. Md Norwawi, Modelling of Reservoir Water Release Decision Using Neural Network and Temporal Pattern of Reservoir Water

Level, 5th International Conference on Intelligent Systems, Modelling and Simulation (ISMS), pp. 127-130, 2014.

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Tandeo, P. et al., Spatio-temporal Segmentation and Estimation of Ocean Surface Currents from Satellite Sea Surface Temperature Fields, 20th IEEE International Conference on Image Processing, 2013.

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Tsumoto, S.; Hirano, S.; Iwata, H., Granularity-based Temporal Data Mining in Hospital Information System Big Data, 2013 IEEE International Conference on, pp. 32-40, 2013.

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Yu, Z. et al., Pedestrian Counting Based on Spatial and Temporal Analysis, IEEE International Conference on Image Processing, pp. 2432-2436, 2014.