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  Roblex Nana Tchakoute, Claude Tadonki, Petr Dokladal, Petr Dokladal, Youssef Mesri. A Flexible Operational Framework for Energy Profiling of Programs. 2024 International Symposium on Computer Architecture and High Performance Computing Workshops (SBAC-PADW), Nov 2024, Hilo, United States. pp.12-22, ⟨10.1109/SBAC-PADW64858.2024.00014⟩. ⟨hal-04819054⟩
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  Stéphane Bancelin, Barbara Lynch, Christelle Bonod-Bidaud, Petr Dokládal, Florence Ruggiero, et al.. Combination of Traction Assays and Multiphoton Imaging to Quantify Skin Biomechanics. Sagi, Irit; Afratis, Nikolaos A. Collagen: Methods and Protocols, 1944, Humana Press, pp.145-155, 2019, Methods in Molecular Biology, 978-1-4939-9095-5. ⟨10.1007/978-1-4939-9095-5_11⟩. ⟨hal-02115604⟩
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  Stéfan Baudier, Santiago Velasco-Forero, Franck Jean, Daniel Brooks, Jesus Angulo. Synthetic Dataset of Maneuvering Low Earth Orbit Satellite Trajectories for AI Analysis. Proceedings of SPAICE2024 : The First Joint European Space Agency / IAA Conference on AI in and for Space, Sep 2024, Oxfordshire, United Kingdom. ⟨hal-04755327⟩
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  Stéfan Baudier, Santiago Velasco-Forero, Franck Jean, Daniel Brooks, Jesus Angulo. Deep Matrix Profile for Maneuver Classification in Low Earth Orbit Satellite Trajectories. European Signal Processing Conference, 2024, IEEE, Aug 2024, Lyon, France. ⟨hal-04730200⟩
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  José Márcio Martins da Cruz. Détection d'anomalies réseau par apprentissage non supervisé. 11ème Journées Réseau - 2015, Renater, Dec 2015, Montpellier, France. ⟨hal-04691552⟩
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  José Márcio Martins da Cruz, Gordon V. Cormack. Using old Spam and Ham Samples to Train Email Filters. Sixth Conference on Email and Anti-Spam - CEAS 2009, Microsoft Research Silicon Valley, Jul 2009, Mountain View, CA, United States. ⟨hal-04691528⟩
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  Yuriy Sinchuk, Yanneck Wielhorski, Arturo Mendoza Quispe, Samy Blusseau, Santiago Velasco-Forero. Automatic Yarn Path Extraction of Large 3D Interlock Woven Fabrics with Confidence Estimation. Composites Part A: Applied Science and Manufacturing, In press, https://doi.org/10.1016/j.compositesa.2024.108396. ⟨10.1016/j.compositesa.2024.108396⟩. ⟨hal-04667754⟩
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  Rodrigo Rill-García, Eva Dokladalova, Petr Dokladal. Pixel-accurate road crack detection in presence of inaccurate annotations. Neurocomputing, 2022, ⟨10.1016/j.neucom.2022.01.051⟩. ⟨hal-03552780⟩
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  José Márcio Martins da Cruz, Mateus Sangalli, Santiago Velasco-Forero, Etienne Decencière, Thérese Baldeweck. A POSTERIORI DEEP LEARNING SEGMENTATION QUALITY ESTIMATION BASED ON PREDICTION ENTROPY. Image Analysis & Stereology, 2024, 43 (2), pp.121-130. ⟨10.5566/ias.3024⟩. ⟨hal-04330303v2⟩
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  Santiago Velasco-Forero. Can Generalised Divergences Help for Invariant Neural Networks?. Geometric Science of Information, 14071, Springer Nature Switzerland, pp.82-90, 2023, Lecture Notes in Computer Science, ⟨10.1007/978-3-031-38271-0_9⟩. ⟨hal-04303522v2⟩
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  Samy Blusseau. Training morphological neural networks with gradient descent: some theoretical insights. IAPR Third International Conference on Discrete Geometry and Mathematical Morphology, Andrea Frosini; Elena Barcucci; Elisa Pergola; Michela Ascolese; Niccoló Di Marco; Simone Rinaldi; Sara Brunetti; Giulia Palma; Veronica Gierrini; Leonardo Bindi, Apr 2024, Firenze, Italy. pp.229-241. ⟨hal-04438062v2⟩

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