R. Bordoloi, C. Réda, O. Trautmann, S. Bej and O. Wolkenhauer. Multivariate Functional Linear Discriminant Analysis for the Classification of Short Time Series with Missing Data In press Machine Learning, 2025 arXiv-2402.13103
C. Réda, J.-J. Vie and O. Wolkenhauer. Comprehensive evaluation of collaborative filtering in drug repurposing In press Scientific Reports, 2025 HAL-04626970
C. Réda, J.-J. Vie and O. Wolkenhauer. Joint Embedding-Classifier Learning for Interpretable Collaborative Filtering In press BMC Bioinformatics, 2025 HAL-04625183
A. Dufour, A. Heydari-Olya, S. Foulon, C. Réda, et al. Neonatal inflammation impairs developmentally-associated microglia and promotes a highly reactive microglial subset In Brain, Behavior, and Immunity, 2025 DOI-10.1016/j.bbi.2024.09.019
C. Réda, J.-J. Vie and O. Wolkenhauer. stanscofi and benchscofi: a new standard for drug repurposing by collaborative filtering In Journal of Open Source Software, 2024 DOI-10.21105/joss.05973
C. Réda and A. Delahaye-Duriez. NORDic: a Network-Oriented package for the Repurposing of Drugs In Journal of Open Source Software, 2023 DOI-10.21105/joss.05532
C. Réda, S. Vakili, and É. Kaufmann. Near-Optimal Collaborative Learning With Bandits In Proceedings of the 36th Conference on Neural Information Processing Systems, 2022 HAL-03825099 [Selected as oral]
C. Réda and A. Delahaye-Duriez. Prioritization of Candidate Genes Through Boolean Networks In Proceeedings of the 20th International Conference on Computational Methods in Systems Biology, 2022. In accordance with Springer Nature’s sharing policy: accepted manuscript [Best student paper award]
C. Réda, A. Tirinzoni, and R. Degenne. Dealing With Misspecification In Fixed-Confidence Linear Top-m Identification In Proceedings of the 35th Conference on Neural Information Processing Systems, 2021 HAL-03409205.
C. Réda, É. Kaufmann, and A. Delahaye-Duriez. Top-m identification for linear bandits In Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021 HAL-03172145.
C. Réda, É. Kaufmann, and A. Delahaye-Duriez. Machine learning applications in drug development In Computational and Structural Biotechnology Journal, 2020 DOI-10.1016/j.csbj.2019.12.006.
C. Réda and B. Wilczyński. Automated Inference of Gene Regulatory Networks Using Explicit Regulatory Modules In Journal of Theoretical Biology, 2020 DOI-10.1016/j.jtbi.2019.110091. In accordance with Elsevier’s sharing policy: accepted manuscript.
A. Delahaye-Duriez, C. Réda and P. Gressens. Identification de cibles thérapeutiques et repositionnement de médicaments par analyses de réseaux géniques In médecine/sciences, 2019 (full text).
C. Réda. NORDic: drug response simulation and drug repurposing with Boolean networks @GT Bioss Days 2024: CoLoMoTo Workshop (program).
C. Réda. NORDic: End-to-end inference for Boolean networks @Atelier GT Bioss 2024: Évaluation de méthodes d’inférence de modèles dynamiques (program).
C. Réda, J.-J. Vie and O. Wolkenhauer. Benchmarking collaborative filtering approaches to drug repurposing @e:Med2023 (program).
C. Réda, J.-J. Vie and O. Wolkenhauer. JELI: an interpretable embedding-learning recommender system for drug repurposing @ECCB’24
C. Réda, J.-J. Vie and O. Wolkenhauer. JELI: an interpretable embedding-learning recommender system for drug repurposing @JOBIM’24
C. Réda, J.-J. Vie and O. Wolkenhauer. Towards a large-scale benchmark of collaborative filtering in drug repurposing @SMPGD’24
C. Réda and A. Delahaye-Duriez. Drug repurposing in breast cancer by combining bandit algorithms and Boolean networks with NORDic @ISMB/ECCB’23
C. Réda. Groupe de Travail sur la BIOlogie Systémique Symbolique (GT BioSS) Online, April 7th, 2023
C. Réda. Statistical Methods for Post Genomic Data (SMPGD) 2023 Ghent, February 2nd-3rd, 2023
C. Réda Combination of gene regulatory networks and sequential machine learning for drug repurposing TEL-03846072 Viva on 09/09/22