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All Publications

Displaying 1 - 25 of 144 results.

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    • Journal article
    An analysis of the behavior of simplified evolutionary algorithms on trap functions
    Nijssen, Siegfried[UCL] Bäck, Thomas (2003) IEEE Transactions on Evolutionary Computation — Vol. 7, no.1, p. 11-22 (2003)
    • Journal article
    Optimal constraint-based decision tree induction from itemset lattices
    Nijssen, Siegfried[UCL] Fromont, Elisa (2010) Data Mining and Knowledge Discovery — Vol. 21, no.1, p. 9-51 (2010)
    • Journal article
    Itemset mining: a constraint programming perspective
    Guns, Tias Nijssen, Siegfried[UCL] De Raedt, Luc (2011) Artificial Intelligence — Vol. 175, no.12-13, p. 1951-1983 (2011)
    • Journal article
    MiningZinc: A declarative framework for constraint-based mining
    Guns, Tias Dries, Anton Nijssen, Siegfried[UCL] Tack, Guido De Raedt, Luc (2017) Artificial Intelligence — Vol. 244, p. 6-29 (2017)
    • Speech
    Time constrained DL8.5 using Limited Discrepancy Search
    Kiossou, Harold[UCL] Schaus, Pierre[UCL] Nijssen, Siegfried[UCL] Houndji, Ratheil (2022) European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases — Grenoble, France
    • Speech
    Partitioning a Map into Homogeneous Contiguous Regions: A Branch-And-Bound Approach Using Decision Diagrams
    Golenvaux[UCL] Gillard, Xavier[UCL] Nijssen, Siegfried[UCL] Schaus, Pierre[UCL] (2023) 29th International Conference on Principles and Practice of Constraint Programming (CP 2023) — Toronto, Canada
    • Journal article
    Learning Optimal Decision Trees using Constraint Programming
    Verhaeghe, Hélène[UCL] Nijssen, Siegfried[UCL] Pesant, Gilles Quimper, Claude-Guy Schaus, Pierre[UCL] (2020) Constraints Journal — Vol. 25, no.3-4, p. 226-250 (2020)
    • Speech
    RL-Net: Interpretable Rule Learning with Neural Networks
    Dierckx, Lucile[UCL] Veroneze, Rosana[UCL] Nijssen, Siegfried[UCL] (2023) Pacific-Asia Conference on Knowledge Discovery and Data Mining — Osaka, Japan
    • Journal article
    Guest editor’s introduction: special issue of the ECML PKDD 2013 journal track
    Blockeel, Hendrik Kersting, Kristian Nijssen, Siegfried[UCL] Železný, Filip (2013) Data Mining and Knowledge Discovery — Vol. 27, no.3, p. 291-293 (2013)
    • BookChapter
    Supervised pattern mining and applications to classification
    Zimmermann, Albrecht Nijssen, Siegfried[UCL] (2014) Frequent Pattern Mining — [ISBN : 978-3-319-07820-5]
    • Speech
    Optimal Decoding of Hidden Markov Models With Consistency Constraints
    Dubray, Alexandre[UCL] Derval, Guillaume Nijssen, Siegfried[UCL] Schaus, Pierre[UCL] (2022) International Conference on Discovery Science — Montpellier, France
    • Speech
    Induction of node label controlled graph grammar rules
    Blockeel, Hendrik Nijssen, Siegfried[UCL] (2008) The 6th Workshop on Mining and Learning with Graphs — Helsinki, Finland
    • Journal article
    Substructure mining using elaborate chemical representation
    Kazius, Jeroen Nijssen, Siegfried[UCL] Kok, Joost Bäck, Thomas IJzerman, Adriaan P. (2006) Journal of Chemical Information and Modeling — Vol. 46, no.2, p. 597-605 (2006)
    • Speech
    Discovering interesting patterns in large graph cubes
    Demesmaeker, Florian[UCL] Ghrab, Amine Nijssen, Siegfried[UCL] Skhiri, Sabri (2017) Fourth International Workshop on High Performance Big Graph Data Management, Analysis, and Mining, in conjunction with the 2017 IEEE International Conference on Big Data (IEEE BigData 2017) — Boston, MA, USA
    • Speech
    General graph refinement with polynomial delay
    Ramon, Jan Nijssen, Siegfried[UCL] (2007) Mining and Learning with Graphs — Florence, Italy
    • Speech
    Iterated Matrix Reordering
    Van Vracem, Gauthier[UCL] Nijssen, Siegfried[UCL] (2021) Machine Learning and Knowledge Discovery in Databases, European Conference — Bilbao, Spain

Pages