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2023 
Elucidating Transition State Behaviour from Mobility Data by Cascades of Markov Chains

Dhont, M & Tsiporkova, E 2023, ' Elucidating Transition State Behaviour from Mobility Data by Cascades of Markov Chains ', Proceedings of the Canadian Conference on Artificial Intelligence , vol. 35, no. 1, 1, pp. 1-12.

 
2022 
Mining of Spatiotemporal Trajectory Profiles Derived from Mobility Data

Dhont, M , Tsiporkova, E & González-Deleito, N 2022, Mining of Spatiotemporal Trajectory Profiles Derived from Mobility Data . in KS Candan, TN Dinh, MT Thai & T Washio (eds), 2022 IEEE International Conference on Data Mining Workshops (ICDMW). IEEE International Conference on Data Mining Workshops, ICDMW, vol. 2022-November, IEEE Xplore, Orlando, FL, USA, pp. 1020-1028, 2022 IEEE International Conference on Data Mining Workshops, Orlando, Florida, United States, 28/11/22 .

Incremental Multi-view Clustering for Geo-referenced Time Series

Dhont, M , Tsiporkova, E & González-Deleito, N 2022, ' Incremental Multi-view Clustering for Geo-referenced Time Series '.

Making Sense of ANPR Data via Intelligent Spatio-temporal Disaggregation of Traffic Flows

Dhont, M , Dhont, M , Tsiporkova, E, Gonzalez-Deleito, N & Cornelis, B 2022, Making Sense of ANPR Data via Intelligent Spatio-temporal Disaggregation of Traffic Flows . in 2022 IEEE 25th International Conference on Intelligent Transportation Systems, ITSC 2022. 2022 IEEE 25TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC), IEEE Xplore, Macau, China, pp. 1433-1439, IEEE 25th international conference on intelligent transportation Systems, Macao, China, 8/10/22 .

Performance Profiling of Operating Modes via Multi-view Analysis Using Non-negative Matrix Factorisation

Dhont, M , Tsiporkova, E & Boeva, V 2022, Performance Profiling of Operating Modes via Multi-view Analysis Using Non-negative Matrix Factorisation . in Studies in Big Data. Studies in Big Data, vol. 106, Springer, pp. 289-316.

Dynamic Imputation Methodology for Multi-source Streaming Mobility Data

Dhont, M , Tsiporkova, E & González-Deleito, N 2022, Dynamic Imputation Methodology for Multi-source Streaming Mobility Data . in Y Bie, BX Qu, RJ Howlett & LC Jain (eds), Smart Transportation Systems 2022. Smart Innovation, Systems and Technologies, vol. 304 SIST, Springer, pp. 184-198.

 
2021 
Advanced exploration of wind fleet data through operating mode labelling

Dhont, M , Verbeke, R, Droutsas, C, Boeva, V, Verbeke, M, Murgia, A & Tsiporkova, E 2021, Advanced exploration of wind fleet data through operating mode labelling . in Proceedings 5th RESRB 2020: Renewable Energy Sources – Research and Business. vol. 5, Wojciech Budzianowski Consulting Services, pp. 1-4, Renewable Energy Sources – Research and Business 2020, Brussels, Belgium, 7/09/20 .

Deriving Spatio-temporal Trajectory Fingerprints from Mobility Data using Non-Negative Matrix Factorisation

Dhont, M , Tsiporkova, E & González-Deleito, N 2021, Deriving Spatio-temporal Trajectory Fingerprints from Mobility Data using Non-Negative Matrix Factorisation . in B Xue, M Pechenizkiy & YS Koh (eds), 2021 International Conference on Data Mining Workshops (ICDMW). IEEE International Conference on Data Mining Workshops, ICDMW, vol. 2021-December, IEEE, Auckland, New Zealand, pp. 750-759, 21st IEEE International Conference on Data Mining, Auckland, New Zealand, 7/12/21 .

 
2020 
Visual Analytics for Extracting Trends from Spatio-temporal Data

Dhont, M , Tsiporkova, E, Tourwé, T & González-Deleito, N 2020, Visual Analytics for Extracting Trends from Spatio-temporal Data . in International Workshop on Advanced Analytics and Learning on Temporal Data: AALTD 2020: Advanced Analytics and Learning on Temporal Data. Lecture Notes in Computer Science , vol. 12588, Springer, pp. 122-137, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2020, Ghent, Belgium, 14/09/20 .

Layered Integration Approach for Multi-view Analysis of Temporal Data

Dhont, M , Tsiporkova, E & Boeva, V 2020, Layered Integration Approach for Multi-view Analysis of Temporal Data . in V Lemaire, S Malinowski, A Bagnall, T Guyet, R Tavenard & G Ifrim (eds), Advanced Analytics and Learning on Temporal Data - 5th ECML PKDD Workshop, AALTD 2020, Revised Selected Papers: AALTD 2020: Advanced Analytics and Learning on Temporal Data. vol. 12588, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12588 LNAI, Springer, pp. 138-154, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2020, Ghent, Belgium, 14/09/20 .