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Dierckx, Lucile ; Dubray, Alexandre ; Nijssen, Siegfried. Parameter Learning using Approximate Model Counting. 18th International conference on Neural-Symbolic Learning and Reasoning (Barcelona, du 09/09/2024 au 12/09/2024).
Laura Gálvez Jiménez ; Dierckx, Lucile ; Maxime Amodei ; Hamed Razavi Khosroshahi ; Natarajan Chidambaran ; Anh-Thu Phan Ho ; Alberto Franzin. Computational Evaluation of the Combination of Semi-Supervised and Active Learning for Histopathology Image Segmentation with Missing Annotations. ICCV CVAMD workshop (Paris, France, du 02/10/2023 au 03/10/2023). In: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, , p. 2552-2563 (2023).
Dierckx, Lucile ; Veroneze, Rosana ; Nijssen, Siegfried. RL-Net: Interpretable Rule Learning with Neural Networks. Pacific-Asia Conference on Knowledge Discovery and Data Mining (Osaka, Japan, du 25/05/2023 au 28/05/2023). In: Advances in Knowledge Discovery and Data Mining: 27th Pacific-Asia Conference, PAKDD 2023, May 25-28, Proceedings, (2023). doi:10.1007/978-3-031-33374-3_8.
Dierckx, Lucile ; Beauvois, Mélanie ; Nijssen, Siegfried. Detection and Multi-label Classification of Bats. Symposium on Intelligent Data Analysis (Rennes, France, du 20/04/2022 au 22/04/2022). In: Advances in Intelligent Data Analysis, Vol. 20 (2022). doi:10.1007/978-3-031-01333-1_5.
