Presentation, Explaining artificial neural networks using answer set programming, Vilnius, Lithuania, Sept 2024.
Invited Webinar, Biotechnocentre, Decoding the Decision-Making Process of Artificial Neural Networks: Techniques for Transparency and Interpretability, June 2024.
Invited Seminar, gt-bioss, Exploring the role of Answer Set Programming in explainable AI (XAI), June 2024.
Course, Boolean network modelling, Doctoral School, Apilr 2023.
Course, Artificial Intelligence, Doctoral School, April 2023.
Presentation on Deep learning in venous thrombosis, Genmed workshop, 19-20 Sep 2022
Presentation on Recurrent neural networks for time series prediction, MUSCA seminar, 14 January 2022
Presentation on Explainable artificial neural network for venous thromboembolism based on plasma proteomics, Journée DIAMS, Bourges, 26 Nov, 2021
Presentation, CMSB: Computational Methods in Systems Biology, Bordeaux, 22-24 Sept 2021
Virtual Seminar, Statistics and Genomes, MIA Paris, 22 March 2021, France.
Virtual Seminar, Computational Biology and Bioinformatics, IBGC, 16 March 2021, Bordeaux, France.
Seminar, Deep learning in venous thrombosis, 4 Feb 2021, LIRMM, France.
Short Presentation, An artificial neural network approach integrating plasma proteomics and genetic data identifying PLXNA4 as a new susceptibility locus for pulmonary embolism, CMSB, 23-25 Sept 2020.
Seminar, Boolean Network Identification from Multiplex Time Series Data of Breast Cancer Cell Lines, LRI: Laboratoire de Recherche en Informatique, l'Université Paris-Sud, 8 Nov 2018, France.
Presentation, Computing diverse Boolean networks from time series data, CMSB: Computational Methods in Systems Biology, 12-14 Sept 2018, Brno, Czech Republic.
Prsentation, Integrating time series data and prior knowledge network, ASSTABIO: Apprentissage de modèles Statistiques et STochastiques A partir de données BIOlogiques, 22-23 March 2018, Rennes, France.
Presentation, Identification, Simulation and Analysis of Boolean Networks of Breast Cancer Cell Lines, University of Manchester, 11-13 July 2017, UK.
Presentation, Boolean Network Identification from Multiplex Time Series Data of Breast Cancer Cell Lines, 11èmes journées du Cancéropôle Grand Ouest, 29-30 June 2017, Vannes, France.
La Journée de doctorants (JDOC), l'Ecole doctorale STIM, May 4 2017, Nantes, France.
Deep learning models for detecting late follicles, ICSB: International Conference on Systems Biology, 8-12 Oct 2022.
An artificial neural network approach integrating plasma proteomics and genetic data identifying PLXNA4 as a new susceptibility locus for pulmonary embolism, CMSB: Computational Methods in Systems Biology, 23-25 Sept 2020 (web access).
Analysis of multi-omics data to discriminate patients in thrombosis, Systems Biology: From Large Datasets to Biological Insight, 8-12 July 2019, Hixton, UK (web access).
Analysis of multi-omics data to discriminate patients with deep venous thrombosis and pulmonary embolism, ISMB/ECCB 2017, July 21–July 25, 2017, Prague, Czech Republic (web access).
Identification, Simulation and Analysis of Boolean Networks of Breast Cancer Cell Lines, La Journée de doctorants (JDOC), l'Ecole doctorale STIM, , May 4 2017, Nantes, France (web access).
Boolean Network Identification from Multiplex Time Series Data of Breast Cancer Cell Lines, Formal Modeling of Biological Regulatory Networks, Summer School, June 2016, Ile de Porquerolles, France (web access).