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Michiel Dhont

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2020 – today

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2023
[c6]
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  - conf/ai/DhontT23
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Michiel Dhont, Elena Tsiporkova:
Elucidating Transition State Behaviour from Mobility Data by Cascades of Markov Chains. Canadian AI 2023
2022
[c5]
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Michiel Dhont, Elena Tsiporkova, Nicolás González-Deleito:
Mining of Spatiotemporal Trajectory Profiles Derived from Mobility Data. ICDM (Workshops) 2022: 1-9
[c4]
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Michiel Dhont, Elena Tsiporkova, Nicolás González-Deleito, Bruno Cornelis:
Making Sense of ANPR Data via Intelligent Spatio-temporal Disaggregation of Traffic Flows. ITSC 2022: 1433-1439
2021
[c3]
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Michiel Dhont, Elena Tsiporkova, Nicolás González-Deleito:
Deriving Spatio-temporal Trajectory Fingerprints from Mobility Data using Non-Negative Matrix Factorisation. ICDM (Workshops) 2021: 750-759
2020
[c2]
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Michiel Dhont, Elena Tsiporkova, Tom Tourwé, Nicolás González-Deleito:
Visual Analytics for Extracting Trends from Spatio-temporal Data. AALTD@PKDD/ECML 2020: 122-137
[c1]
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Michiel Dhont, Elena Tsiporkova, Veselka Boeva:
Layered Integration Approach for Multi-view Analysis of Temporal Data. AALTD@PKDD/ECML 2020: 138-154

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