Le département Science des Données rassemble quatre équipes d’expertises reconnues et complémentaires, couvrant la modélisation, la collection, la gestion, l’analyse et la construction de données et de connaissances (A&O, Bioinfo, LaHDAK, Rocs), permettant d’explorer les synergies entre expertises liées aux données, à l’apprentissage et à l’optimisation, notamment en lien avec les domaines de la bio-informatique, de l’IoT et des graphes de données.
Des traces numériques de l’ensemble des activités humaines sont aujourd’hui disponibles dans tous les domaines, des données souvent massives, hétérogènes, dynamiques et de qualité variable (les 4 V du Big Data : Volume, Variété, Vélocité, Véracité). Leur exploitation conduit à la définition d’un quatrième paradigme scientifique : la conception et la validation d’hypothèses, de modèles théorique et d’algorithmes, guidées par les données et en interaction avec les experts du domaine. Le département Science des Données s’intéresse à répondre de façon robuste aux défis des 4V, en termes de passage à l’échelle face au volume et à la vélocité des données, et de résistance aux biais de diversité et de qualité. Ces objectifs définissent de nouvelles problématiques informatiques dans le domaine du stockage, de la communication, de l’analyse et de l’optimisation des traitements, de l’interrogation et de l’enrichissement des données, de la découverte des connaissances et de l’apprentissage de modèles.
Avec près de 40 chercheurs et enseignants-chercheurs, le département Sciences des Données couvre un spectre large de thématiques fondamentales et en lien avec les applications : bases de données, fouille de données, Web sémantique, représentation des connaissances, algorithmique, combinatoire, optimisation stochastique et distribuée, apprentissage statistique et réseaux neuronaux, réseaux de communication, simulation. Il dispose également d’une expertise approfondie de la recherche interdisciplinaire et du dialogue avec les experts des domaines d’applications (particulièrement en biologie, médecine, sciences humaines et sociales, physique expérimentale), permettant un accès privilégié aux données d’intérêt et à l’évaluation des modèles et des algorithmes.
Coordination
Algorithmes, apprentissage et calcul, Sciences des Données
El-Hacen Diallo, Khaldoun Al Agha, Steven Martin. TRADE-5G: A blockchain-based transparent and secure resource exchange for 5G network slicing. Blockchain: Research and Applications, 2025, 6 (1), pp.100246. ⟨10.1016/j.bcra.2024.100246⟩. ⟨hal-05460607⟩
Khaldoun Al Agha, Guy Pujolle. Intelligent Energy Arbitration in Edge Networks with Distributed Digital Twins. 13th Wireless Days Conference WD’25, Dec 2025, Rio de Janeiro, Brazil. ⟨10.1109/WD67713.2025.11302632⟩. ⟨hal-05460627⟩
Abdulhakeem Abdulazeez, Nicola Zema, Tara Ali-Yahiya, Steven Martin. Edge-Enhanced Attention Mechanism for Dynamic UAV Formation Fault Detection. 2025 International Symposium on Networks, Computers and Communications (ISNCC), Oct 2025, Paris, France. pp.1-8, ⟨10.1109/ISNCC66965.2025.11250475⟩. ⟨hal-05458459⟩
Khaldoun Al Agha, Pauline Loygue, Guy Pujolle. Preparing for the 6G Era: Introducing the Internet of Edges. NOMS 2024-2024 IEEE Network Operations and Management Symposium, May 2024, Seoul, South Korea. pp.1-3, ⟨10.1109/NOMS59830.2024.10575595⟩. ⟨hal-05450988⟩
Kinda Khawam, Hussein Taleb, Samer Lahoud, Hassan Fawaz, Dominique Quadri, et al.. Non-Cooperative Edge Server Selection Game for Federated Learning in IoT. NOMS 2024-2024 IEEE Network Operations and Management Symposium, May 2024, Seoul, South Korea. pp.1-6, ⟨10.1109/NOMS59830.2024.10575406⟩. ⟨hal-05450907⟩
Yeabsira Asefa Ashengo, Tara Ali Yahiya, Nicola Roberto Zema. Efficient Task Offloading in Multi-access Edge Computing Servers using Asynchronous Meta Reinforcement Learning in 5G. 2024 IEEE Symposium on Computers and Communications (ISCC), Jun 2024, Paris, France. pp.1-6, ⟨10.1109/ISCC61673.2024.10733620⟩. ⟨hal-05451050⟩
Kinda Khawam, Hussein Taleb, Hassan Fawaz, Samer Lahoud, Dominique Quadri, et al.. Edge Selection Non-Cooperative Game in IoT Edge Computing. 2024 IEEE 35th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Sep 2024, Valencia, Spain. pp.1-6, ⟨10.1109/PIMRC59610.2024.10817426⟩. ⟨hal-05450894⟩
El-Hacen Diallo, Mohameden Dieye, Omar Dib, Pierre Valiorgue. An agnostic and secure interoperability protocol for seamless asset movement. Journal of Network and Computer Applications (JNCA), 2024, 230, pp.103930. ⟨10.1016/j.jnca.2024.103930⟩. ⟨hal-05451144⟩
Hugo de Oliveira, Megumi Kaneko, Lila Boukhatem. Smart Band Association for Wireless IoT Networks: a Personalized Federated Multi-Agent Deep Reinforcement Learning Approach. 2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall), Oct 2024, Washington, United States. pp.1-6, ⟨10.1109/VTC2024-Fall63153.2024.10757445⟩. ⟨hal-05451023⟩
Abdulhakeem Abdulazeez, Nicola Roberto Zema, Tara Ali Yahiya, Steven Martin. Formation Control of UAV-fleet With Orientation Alignment: A Multi-Agent Actor-Critic Based Approach. IFIP Wireless and Mobile Networking Conference, Nov 2024, Venice, Italy. ⟨10.52545/3-4⟩. ⟨hal-05450924⟩
Pauline Loygue, Khaldoun Al Agha, Guy Pujolle. Carbon footprint of cloud, edge, and Internet of Edges. Annals of Telecommunications – annales des télécommunications, 2025, 80 (1), pp.153-169. ⟨10.1007/s12243-024-01061-1⟩. ⟨hal-05450979⟩
Franco Quezada, Céline Gicquel, Safia Kedad-Sidhoum, Bernardo Pagnoncelli. Lot-sizing under decision-dependent uncertainty: A probing-enhanced stochastic programming approach. 15th International Workshop on Lot Sizing (IWLS2025), Aug 2025, Groningen, Netherlands. ⟨hal-05450850⟩
Abdulhakeem Abdulazeez. Development of an autonomous control protocol for a UAV fleet network using machine learning. Robotics [cs.RO]. Université Paris-Saclay, 2024. English. ⟨NNT : 2024UPASG107⟩. ⟨tel-05426943⟩
Shwetha Salimath, Francesca Bugiotti, Sylvain Wlodarczyk. Responsible AI: Training Deep Learning Model Efficiently. 29th European Conference on Advances in Databases and Information Systems (ADBIS 2025), Sep 2025, Tampere, Finland. pp.63-78, ⟨10.1007/978-3-032-05281-0_5⟩. ⟨hal-05422803⟩
Alexandre Combeau, Fatiha Saïs, Nageeta Kumari, Stéphane Dervaux, Cristina Manfredotti, et al.. NutriKG -Un Graphe de Connaissances pour Modéliser les Préférences et les Besoins Nutritionnels. 36es Journées francophones d’Ingénierie des Connaissances, IC 2025, Dijon, France, July 2-4, 2025, Jul 2025, Dijon, France. pp.8-17. ⟨hal-05410354⟩
Fernando A Villanea, David Peede, Eli J Kaufman, Valeria Añorve-Garibay, Elizabeth T Chevy, et al.. The MUC19 gene: An evolutionary history of recurrent introgression and natural selection. Science, 2025, 389 (6762), pp.eadl0882. ⟨10.1126/science.adl0882⟩. ⟨hal-05410793⟩
Nina Vittorelli, Cintia Gómez-Muñoz, Irina Andriushchenko, Louis Ollivier, Nicolas Agier, et al.. Repeated losses of self-fertility shaped heterozygosity and polyploidy in yeast evolution. 2025. ⟨hal-05404528⟩
Nathalie Abadie, Ghislain Atemezing, Grégory Bonnet, Tristan Cazenave, Antoine Cornuéjols, et al.. Conférence Nationale d’Intelligence Artificielle Année 2025. Association Française pour l’Intelligence Artificielle, 2025. ⟨hal-05409313⟩
Miriam Bravo-Lopez, Eduardo Arrieta-Donato, Viridiana Villa-Islas, Åshild Joanne Vågene, Ana Villaseñor-Altamirano, et al.. Ancient genomic insights into Salmonella enterica Paratyphi C from Central Mexico. 2025. ⟨hal-05407381⟩
Louis Ollivier, Brian Charlesworth, Fanny Pouyet. Beyond recombination: Exploring the impact of meiotic frequency on genome-wide genetic diversity. PLoS Genetics, 2025, 21 (8), pp.e1011798. ⟨10.1371/journal.pgen.1011798⟩. ⟨hal-05405132⟩
Onofrio Semeraro, Michele Alessandro Bucci, Lionel Mathelin, Luigi Marra, Amine Saibi. From robotics to fluid dynamics: opportunities and pitfalls of Reinforcement Learning in flow control. iTi Workshop on Structure and control of wall-bounded turbulent flows, Jul 2025, Bertinoro, Italy. ⟨hal-05379587⟩
Nicolas Saint-Léger, Nicolas Férey, Joe Raad, Patrick Bourdot. An overview study on the use of Semantics in Immersive Environments. Journal on Multimodal User Interfaces, 2025, 19, pp.305-322. ⟨10.1007/s12193-025-00465-0⟩. ⟨hal-05383687⟩
Akash Malhotra, Nacéra Seghouani, Gilbert Badaro, Christophe Blaya. ConMax3D: Frame Selection for 3D Reconstruction Through Concept Maximization. 20th International Conference on Computer Vision Theory and Applications, Feb 2025, Porto, France. pp.598-609, ⟨10.5220/0013258800003912⟩. ⟨hal-05369558⟩
Akash Malhotra, Nacéra Seghouani, Ahmad Saiid, Alaa Almatuwa, Koumudi Ganepola. Rethinking Deblurring Strategies for 3D Reconstruction: Joint Optimization vs. Modular Approaches. 20th International Conference on Computer Vision Theory and Applications, Feb 2025, Porto, France. pp.816-823, ⟨10.5220/0013378800003912⟩. ⟨hal-05369551⟩
Nicolas Agier, Nina Vittorelli, Louis Ollivier, Frédéric Chaux, Alexandre Gillet-Markowska, et al.. A transient mutational burst occurs during yeast colony development. Molecular Systems Biology, 2025, 21 (9), pp.1214-1236. ⟨10.1038/s44320-025-00117-1⟩. ⟨hal-05389997⟩
Hugo de Oliveira. Reinforcement Learning and Federated Learning-based Multi-Band Assignment for IoT Short Packet Communications. Networking and Internet Architecture [cs.NI]. Université Paris-Saclay; The Graduate University for Advanced Studies (Hayama (Japon) ; 1988-..), 2025. English. ⟨NNT : 2025UPASG046⟩. ⟨tel-05351603⟩
Fanny Pouyet, Ferdinand Petit, Jérémy Guez, Léo Planche, Evelyne Heyer, et al.. Methods for inferring coalescent tree topologies from genomic data: a comparison based on the transmission of reproductive success. 2025. ⟨hal-05347078⟩
Elsa Denakpo, Nicolas Dias, Johann Pitout, Thierry Naas, Dylan Pillai, et al.. Imputing missing minimum inhibitory concentration (MIC) values for Pseudomonas aeruginosa strains with a Denoising AutoEncoder. 2025. ⟨hal-05361361⟩
Qiaomei Fu, Heng Li, Priya Moorjani, Flora Jay, Sergey Slepchenko, et al.. Genome sequence of a 45,000-year-old modern human from western Siberia. Nature, 2014, 514 (7523), pp.445-449. ⟨10.1038/nature13810⟩. ⟨hal-05361150⟩
Antoine Szatkownik, Aurélien Decelle, Beatriz Seoane, Nicolas Béreux, Léo Planche, et al.. PRIVET: Privacy Metric Based On Extreme Value Theory. 2025. ⟨hal-05326013⟩
Camille de Amorim, Alain Denise. Searching for variable structural motifs in RNA graphs using simple descriptors. JOBIM 2025 – Journées Ouvertes en Biologie, Informatique et Mathématiques, Université de Bordeaux, Jul 2025, Bordeaux, France. ⟨hal-05301347⟩
Olivier Inizan, Fatiha Saïs, Anne Goelzer, Joe Raad, Danai Symeonidou. Abstracting Entity Matching for Analysing and Explaining Identity and Difference Decision and Indecision. KES, Sep 2025, Osaka, Japan. ⟨10.1016/j.procs.2025.09.333⟩. ⟨hal-05324375⟩
Yi Qiu, Yoon Mo Kang, Christopher Korfmann, Fanny Pouyet, Andrew Eckford, et al.. The GC-content at the 5′ ends of human protein-coding genes is undergoing mutational decay. Genome Biology, 2024, 25 (1), pp.219. ⟨10.1186/s13059-024-03364-x⟩. ⟨hal-05238528⟩
Maël Lefeuvre, Michael D. Martin, Flora Jay, Marie-Claude Marsolier, Alexis Corrochano, et al.. GRUPS-rs: a high-performance ancient DNA genetic relatedness estimation software based on pedigree simulations. Bulletins et mémoires de la Société d’Anthropologie de Paris 35(S), Jan 2023, Paris, France. 35 (S), pp.30, 2023, ⟨10.4000/bmsap.11299⟩. ⟨hal-05242408⟩
Maël Lefeuvre, Michael D. Martin, Flora Jay, Marie-Claude Marsolier, Alexis Corrochano, et al.. GRUPS-rs, a high-performance ancient DNA genetic relatedness estimation
software relying on pedigree simulations. JOBIM 2023 – Journées Ouvertes en Biologie, Informatique et Mathématiques, Jun 2023, Multisite, France. ⟨hal-05242467⟩
Tristan Bilot, Baoxiang Jiang, Zefeng Li, Nour El Madhoun, Khaldoun Al Agha, et al.. Sometimes Simpler is Better: A Comprehensive Analysis of State-of-the-Art Provenance-Based Intrusion Detection Systems. USENIX Security 2025, Aug 2025, Seattle, United States. ⟨hal-05245280⟩
Clémence Sebe, Sarah Cohen-Boulakia, Olivier Ferret, Aurélie Névéol. Extracting Information in a Low-resource Setting: Case Study on Bioinformatics Workflows. Symposium on Intelligent Data Analysis (IDA 2025), May 2025, Konstanz, Germany. pp.274-287, ⟨10.1007/978-3-031-91398-3_21⟩. ⟨hal-05244222⟩
Fatiha Saïs, Emmanuel Adam, Dominique Longin. PFIA 2024. Bulletin de l’Association Française pour l’Intelligence Artificielle, 126, 2024, Association Française pour l’Intelligence Artificielle. ⟨hal-05193157⟩
Victor Spitzer, Céline Gicquel, Evgeny Gurevsky, François Sanson. An approximate dynamic programming approach for multi-stage stochastic lot-sizing under a Decision-Hazard-Decision information structure. The XVII International Conference on Stochastic Programming (ICSP 2025), Jul 2025, Champs-sur-Marne, France. ⟨hal-05189801⟩
Ha Duc Thang, Lila Boukhatem, Megumi Kanew, Steven Martin. Performance-Cost Trade-off of Joint Beamforming and User Clustering in Cloud Radio Access Networks. IEEE PIMRC’17 – IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, Oct 2017, Montréal, Canada. pp.1-5, ⟨10.1109/PIMRC.2017.8292411⟩. ⟨hal-01691394⟩
Franco Quezada, Céline Gicquel, Safia Kedad-Sidhoum, Bernardo Pagnoncelli. A probing-enhanced stochastic programming approach for the capacitated multi-item lot-sizing problem. 26ème Congrès Annuel de la Société Française de Recherche Opérationnelle et d’Aide à la Décision (ROADEF 2025), Feb 2025, Champs-sur-Marne, France. ⟨hal-05168056⟩
Ruiwen Liao, Franco Quezada, Céline Gicquel, Safia Kedad-Sidhoum. Multi-stage stochastic optimization for lot-sizing with uncertain demand and renewable energy supply. 26ème Congrès Annuel de la Société Française de Recherche Opérationnelle et d’Aide à la Décision (ROADEF 2025), Feb 2025, Champs-sur-Marne, France. ⟨hal-05168038⟩
Ali Kadhum Idrees, Tara Ali-Yahiya, Sara Kadhum Idrees, Raphaël Couturier. EDaTAD: Energy-Aware Data Transmission Approach with Decision-Making for Fog Computing-Based IoT Applications. Journal of Network and Systems Management, 2024, 32 (3), pp.54 (30). ⟨10.1007/s10922-024-09828-6⟩. ⟨hal-04745456⟩
Djamel Mesbah, Nour El Madhoun, Khaldoun Al Agha, Hani Chalouati. Exploring NLP Techniques for Code Smell Detection: A Comparative Study. The 39th International Conference on Advanced Information Networking and Applications (AINA-2025), Apr 2025, Barcelone, Spain. ⟨10.1007/978-3-031-87769-8_9⟩. ⟨hal-05014865⟩
Victor Spitzer, Céline Gicquel, Evgeny Gurevsky, François Sanson. An approximate dynamic programming approach for multi-stage stochastic lot-sizing under a Decision-Hazard-Decision information structure. Discrete Applied Mathematics, 2026, 379, pp.355-378. ⟨10.1016/j.dam.2025.08.051⟩. ⟨hal-04987947v3⟩
Xiao Xiao, Sarah Fdili Alaoui. Tuning In to Intangibility : Reflections from My First 3 Years of Theremin Learning. DIS 2024 – Designing Interactive Systems Conference, Jul 2024, Copenhagen, Denmark. pp.2649-2659, ⟨10.1145/3643834.3661584⟩. ⟨hal-04930549⟩
Victor Spitzer, Céline Gicquel, Evgeny Gurevsky, François Sanson. Structural learning of electricity prices for production. 26ème Congrès Annuel de la Société Française de Recherche Opérationnelle et d’Aide à la Décision (ROADEF 2025), Feb 2025, Champs-sur-Marne, France. ⟨hal-04967831⟩
Mathieu Lerouge, Céline Gicquel, Vincent Mousseau, Wassila Ouerdane. Modeling and generating user‐centered contrastive explanations for the workforce scheduling and routing problem. International Transactions in Operational Research, 2026, 33 (3), pp.1525-1558. ⟨10.1111/itor.13594⟩. ⟨hal-04933808⟩
Benoît Choffin, Fabrice Popineau, Yolaine Bourda, Jill-Jênn Vie. DAS3H: Modeling Student Learning and Forgetting for Optimally Scheduling Distributed Practice of Skills. JDSE 2019 – Paris-Saclay Junior Conference on Data Science and Engineering, Sep 2019, Gif-sur-Yvette, France. ⟨hal-03427048⟩
Jonathan Colin, Silviu Maniu. Optimizing Diverse Information Exposure in Social Graphs. BigData 2024 – IEEE International Conference on Big Data, Dec 2024, Washington, United States. pp.519-528, ⟨10.1109/BigData62323.2024.10825032⟩. ⟨hal-04895827⟩
Djamel Mesbah, Nour El Madhoun, Khaldoun Al Agha, Hani Chalouati. Leveraging Prompt-based Large Language Models for Code Smell Detection: A Comparative Study on the MLCQ Dataset. The 13-th International Conference on Emerging Internet, Data & Web Technologies (EIDWT-2025), Feb 2025, Matsue, Japan. pp.444-454, ⟨10.1007/978-3-031-86149-9_42⟩. ⟨hal-04881949⟩
Ayse Akbalik, Céline Gicquel, Bernard Penz, Christophe Rapine. Lot sizing with capacity adjustment using on-site green and grid electricity. Omega, 2025, 133, pp.103260. ⟨10.1016/j.omega.2024.103260⟩. ⟨hal-04887456⟩
Antoine Amarilli, Benoit Groz, Nicole Wein. Edge-Minimum Walk of Modular Length in Polynomial Time. 16th Innovations in Theoretical Computer Science – ITCS 2025, Jan 2025, New York City, United States. pp.5:1-5:23, ⟨10.4230/LIPIcs.ITCS.2025.5⟩. ⟨hal-04871489⟩
Wenbo Zhou, Philippe Dague, Lei Liu, Lina Ye, Fatiha Zaïdi. A Coloured Petri Nets Based Attack Tolerance Framework. 27th Asia-Pacific Software Engineering Conference (APSEC 2020), IEEE, Dec 2020, Singapore, Singapore. pp.159-168, ⟨10.1109/APSEC51365.2020.00024⟩. ⟨hal-03133790⟩
Ruiwen Liao, Franco Quezada, Céline Gicquel, Safia Kedad-Sidhoum. A two-stage stochastic programming model for lot-sizing with onsite generation of renewable energy. 25ème Congrès Annuel de la Société Française de Recherche Opérationnelle et d’Aide à la Décision (ROADEF 2024), Société Française de Recherche Opérationnelle et Aide à la Décision, Mar 2024, Amiens, France. ⟨hal-04824007⟩
Céline Gicquel, Mouna Kchaou Boujelben. Optimal design of an electric carsharing system under uncertain trip duration and energy consumption. 33rd European Conference on Operational Research (EURO 2024), Jun 2024, Copenhague, Denmark. ⟨hal-04824035⟩
Ruiwen Liao, Franco Quezada, Céline Gicquel, Safia Kedad-Sidhoum. A multi-stage stochastic programming model for lot-sizing with onsite generation of renewable energy. 33rd European Conference on Operational Research (EURO 2024), Jun 2024, Copenhague, Denmark. ⟨hal-04824056⟩
Ruiwen Liao, Franco Quezada, Céline Gicquel, Safia Kedad-Sidhoum. A multi-stage stochastic programming model for lot-sizing problem with onsite generation of renewable energy. 14th International Workshop on Lot-sizing (IWLS 2024), Aug 2024, Kaiserslautern, Germany. ⟨hal-04824070⟩
Mouna Kchaou Boujelben, Céline Gicquel. Evaluating the impact of uncertain trip duration and energy consumption on electric vehicle sharing network design. 26th Euro Working Group on Transportation Meeting (EWGT 2024), Sep 2024, Lund, Sweden. pp.778-785, ⟨10.1016/j.trpro.2025.04.097⟩. ⟨hal-04823981⟩
Bingqian Liu, Côme Bissuel, François Courtot, Céline Gicquel, Dominique Quadri. A generalized Benders decomposition approach for the optimal design of a local multi-energy system. European Journal of Operational Research, 2024, 318 (1), pp.43-54. ⟨10.1016/j.ejor.2024.05.013⟩. ⟨hal-04802899⟩
Christian Clavijo Lopez, Mouna Kchaou-Boujelben, Céline Gicquel, Khedaoudj Halimi. Assessing the impact of relocation on the optimal design of electric vehicle sharing systems. 2024 10th International Conference on Control, Decision and Information Technologies (CoDIT), Jul 2024, Vallette, Malta. pp.1329-1334, ⟨10.1109/CoDIT62066.2024.10708229⟩. ⟨hal-04811888⟩
Dylan Sechet, Francesca Bugiotti, Matthieu Kowalski, Edouard D’hérouville, Filip Langiewicz. A Hierarchical Deep Learning Approach for Minority Instrument Detection. DAFx 2024 – the 27th International Conference on Digital Audio Effects, Sep 2024, Guildford, United Kingdom. ⟨hal-04793160⟩
Dilek Koptekin, Ayça Aydoğan, Cansu Karamurat, N. Ezgi Altınışık, Kıvılcım Başak Vural, et al.. Out-of-Anatolia: cultural and genetic interactions during the Neolithic expansion in the Aegean. Science, 2025, 388 (6754), pp.adr3326. ⟨10.1126/science.adr3326⟩. ⟨hal-04801125⟩
Antoine Szatkownik, Léo Planche, Maïwen Demeulle, Titouan Chambe, María Ávila-Arcos, et al.. Diffusion-based artificial genomes and their usefulness for local ancestry inference. 2024. ⟨hal-04801121⟩
Burak Yelmen, Maris Alver, Estonian Biobank Research Team, Flora Jay, Lili Milani. Interpreting artificial neural networks to detect genome-wide association signals for complex traits. 2024. ⟨hal-04801114⟩
Victor Spitzer, Céline Gicquel, Evgeny Gurevsky, François Sanson. Dynamic two-stage programming for the stochastic lot-sizing problem with inventory bounds and lost sales. Conference PGMO Days 2024, Nov 2024, Palaiseau, France. ⟨hal-04768708⟩
Hui Yang, Mostepha Khouadjia, Nacéra Bennacer Seghouani, Yue Ma, Serge Delmas. Explainable Action-Recognition Based Approach For Unsupervised Video Anomaly Detection. International Symposium on Visual Computing (ISVC), Oct 2024, Lake Tahoe, United States. pp.182-195, ⟨10.1007/978-3-031-77392-1_14⟩. ⟨hal-04755410⟩
Stéphanie Chevalier, Julia Becker, Yujuan Gui, Vincent Noël, Cui Su, et al.. Data-driven inference of Boolean networks from transcriptomes to predict cellular differentiation and reprogramming. npj Systems Biology and Applications, 2025, 11, pp.105. ⟨10.1038/s41540-025-00569-z⟩. ⟨hal-04753079v2⟩
Maël Lefeuvre, Michael David Martin, Flora Jay, Marie-Claude Marsolier, Céline Bon. GRUPS-rs, a high-performance ancient DNA genetic relatedness estimation software relying on pedigree simulations. Human Population Genetics and Genomics, 2024, 4 (1), pp.0001. ⟨10.47248/hpgg2404010001⟩. ⟨hal-04709778⟩
Carlos Cuevas Villarmin, Sarah Cohen-Boulakia, Nona Naderi. Reproducibility in Named Entity Recognition: A Case Study Analysis. 2024 IEEE 20th International Conference on e-Science (e-Science), Sep 2024, Osaka, Japan. ⟨10.1109/e-Science62913.2024.10678721⟩. ⟨hal-04706673⟩
Tristan Bilot, Nour El Madhoun, Khaldoun Al Agha, Anis Zouaoui. Few Edges Are Enough: Few-Shot Network Attack Detection with Graph Neural Networks. The 19th International Workshop on Security (IWSEC 2024), Sep 2024, Kyoto, Japan. pp.257–276, ⟨10.1007/978-981-97-7737-2_15⟩. ⟨hal-04701979⟩
Djamel Mesbah, Nour El Madhoun, Khaldoun Al Agha, Hani Chalouati. Beyond the Code: Unraveling the Applicability of Graph Neural Networks in Smell Detection. The 27th International Conference on Network-Based Information Systems (NBiS-2024), Sep 2024, Asan, South Korea. pp.148–161, ⟨10.1007/978-3-031-72325-4_15⟩. ⟨hal-04703377⟩
Olivier Inizan, Vincent Fromion, Anne Goelzer, Fatiha Saïs, Danai Symeonidou. An Ontology to Structure Biological Data: The Contribution of Mathematical Models. Metadata and Semantic Research, 2022, Bolzano, Italy. pp.57-64, ⟨10.1007/978-3-030-98876-0_5⟩. ⟨hal-04695320⟩
Léa Guyon, Jérémy Guez, Evelyne Heyer, Raphaëlle Chaix. Is the post-Neolithic Y chromosome bottleneck necessarily explained by violent competition between lineages?. Journées de la Société d’Anthropologie de Paris, Jan 2023, Paris, France. ⟨10.4000/bmsap.11136⟩. ⟨hal-04671432⟩
George Marchment, Bryan Brancotte, Marie Schmit, Frédéric Lemoine, Sarah Cohen-Boulakia. BioFlow-Insight: facilitating reuse of Nextflow workflows with structure reconstruction and visualization. NAR Genomics and Bioinformatics, 2024, 6 (3), pp.lqae092. ⟨10.1093/nargab/lqae092⟩. ⟨pasteur-04670359⟩