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Browsing by Author "Mets, Kevin"

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    A hybrid predictive modeling approach for catalyzed polymerization reactors

    Sobhani, Omid  
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    Toliati, Hamid  
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    Elmaz, Furkan  
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    Gerdposhteh, Shahab Pormoradi
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    Carius, Benedict
    Journal article
    2024, CHEMICAL ENGINEERING JOURNAL ADVANCES, (20) November, p.100662-9
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    Advances in Continual Graph Learning for Anti-Money Laundering Systems: A Comprehensive Review

    Deprez, Bruno  
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    Wei, Wei  
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    Verbeke, Wouter
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    Baesens, Bart
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    Mets, Kevin  
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    Verdonck, Tim  
    Journal article review
    2025-AUG 21, WILEY INTERDISCIPLINARY REVIEWS-COMPUTATIONAL STATISTICS, (17) 3
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    ATARI: A Graph Convolutional Neural Network Approach for Performance Prediction in Next-Generation WLANs

    Soto Arenas, Paola  
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    Camelo Botero, Miguel  
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    Mets, Kevin  
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    Wilhelmi, Francesc
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    Goez, David
    Journal article
    2021, SENSORS, (21) 13, p.4321
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    Benchmarking sensitivity of continual graph learning for skeleton-based action recognition

    Wei, W.
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    De Schepper, Tom  
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    Mets, Kevin  
    Proceedings paper
    2024, VISIGRAPP 2024 : Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 27-29 February 2024, p.639-651
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    Dataset Condensation with Latent Quantile Matching

    Wei, W.
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    De Schepper, Tom  
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    Mets, Kevin  
    Proceedings paper
    2024, 2024 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS, CVPRW, 2024-06-16, p.7703-7712
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    Deep Set Conditioned Latent Representations for Action Recognition

    Singh, Akash  
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    de Schepper, Tom
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    Mets, Kevin  
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    Hellinckx, Peter  
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    Oramas Mogrovejo, Jose Antonio  
    Proceedings paper
    2022, 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP) / 17th International Conference on Computer Vision Theory and Applications (VISAPP), FEB 06-08, 2022, p.456-466
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    Designing a Classifier for Active Fire Detection From Multispectral Satellite Imagery Using Neural Architecture Search

    Cassimon, Amber  
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    Reiter, Phil  
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    Mercelis, Siegfried  
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    Mets, Kevin  
    Journal article
    2025, IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 18, p.10204-10224
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    Directed Real-World Learned Exploration

    Hutsebaut-Buysse, Matthias  
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    Guinjoan, Ferran Gebelli
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    Rademakers, Erwin
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    Latre, Steven  
    Proceedings paper
    2023, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), OCT 01-05, 2023, p.5227-5234
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    Disagreement Options: Task Adaptation Through Temporally Extended Actions

    Hutsebaut-Buysse, Matthias  
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    De Schepper, Tom  
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    Mets, Kevin  
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    Latre, Steven  
    Proceedings paper
    2021, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), SEP 13-17, 2021, p.190-205
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    Feasibility of 100% renewable energy-based electricity production for cities with storage and flexibility

    Narayanan, Arun
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    Mets, Kevin  
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    Strobbe, Matthias  
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    Develder, Chris  
    Journal article
    2019-04, Renewable Energy, 134, p.698-702
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    GPI-tree search: algorithms for decision-time planning with the general policy improvement theorem

    Bagot, Louis  
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    D'eer, Lynn  
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    Latre, Steven  
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    De Schepper, Tom  
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    Mets, Kevin  
    Journal article
    2025, Neural Computing and Applications, (37) 23, p.11404-11311
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    Hierarchical Reinforcement Learning: A Survey and Open Research Challenges

    Hutsebaut-Buysse, Matthias  
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    Mets, Kevin  
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    Latre, Steven  
    Journal article
    2022, MACHINE LEARNING AND KNOWLEDGE EXTRACTION, (4) 1, p.172-221
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    HTMRL: biologically plausible reinforcement learning with hierarchical temporal memory

    Struye, Jakob  
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    Mets, Kevin  
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    Latre, Steven  
    Meeting abstract
    2020, 28th Belgian Dutch Conference on Machine Learning, 6/11/2020
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    Language grounded task-adaptation in reinforcement learning

    Hutsebaut-Buysse, Matthias  
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    Mets, Kevin  
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    Latre, Steven  
    Proceedings paper
    2020, 28th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, 2/10/2020, p.315-320
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    Learning intrinsically motivated options to stimulate policy exploration

    Bagot, Louis  
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    Mets, Kevin  
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    Latre, Steven  
    Proceedings paper
    2020, 4th Lifelong Machine Learning Workshop at ICML 2020, 18/07/2020, p.1
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    Learning to Communicate with Reinforcement Learning for an Adaptive Traffic Control System

    Vanneste, Simon  
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    de Borrekens, Gauthier
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    Bosmans, Stig  
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    Vanneste, Astrid  
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    Mets, Kevin  
    Proceedings paper
    2022, 16th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC), OCT 28-30, 2021, p.207-216
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    Low cost player tracking in field hockey

    Duarte Moura, Henrique  
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    Kholkine, Leonid  
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    Van Damme, Laurens  
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    Mets, Kevin  
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    Leysen, Christiaan  
    Proceedings paper
    2021, 8th Workshop on Machine Learning and Data Mining for Sports Analytics - MLSA, 13-17, September 2021, p.1-13
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    Mixed Cooperative-Competitive Communication Using Multi-agent Reinforcement Learning

    Vanneste, Astrid  
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    Van Wijnsberghe, Wesley
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    Vanneste, Simon  
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    Mets, Kevin  
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    Mercelis, Siegfried  
    Proceedings paper
    2022, 16th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC), OCT 28-30, 2021, p.197-206
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    Physical ergonomics anticipation with human motion prediction

    Billast, Mattias  
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    De Bruyne, Jonas  
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    Bombeke, Klaas  
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    De Schepper, Tom  
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    Mets, Kevin  
    Proceedings paper
    2024, VISIGRAPP 2024 : proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, February 27-29, 2024, p.539 (Volume 4)-548 (Volume 4)
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    Policy Compression for Intelligent Continuous Control on Low-Power Edge Devices

    Ave, Thomas
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    De Schepper, Tom  
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    Mets, Kevin  
    Journal article
    2024, SENSORS, (24) 15, p.Art. 4876
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