Sciences du Vivant

Affichage des résultats 1 à 12 sur 207 au total

Sciences du Vivant : 1 à 12 sur 207 au total

  • Rapport

    Ségolène Aymé, R Choquet, L Devillers, M Gilard, M Kelly-Irving, et al.. Benefits and Risks of Using Health Data for Research. Paris Brain Institute-ICM, Inserm U 1127, CNRS UMR 7225, Sorbonne University, Paris, France. 2023. ⟨hal-04371062⟩

    Année de publication

    Disponible en libre accès

  • Poster de conférence

    Frédéric Austerlitz, Jérémy Guez, Bruno Toupance, Evelyne Heyer, Flora Jay. Cultural transmission of reproductive success impacts genomic diversity, coalescent tree topologies, and demographic inferences. Probabilistic Modeling in Genomics 2024, Apr 2024, Vienna, Austria. ⟨hal-04952573⟩

    Année de publication

  • Communication dans un congrès

    Vincent Blot, Alexandra Lorenzo de Brionne, Ines Sellami, Olivier Trassard, Isabelle Beau, et al.. Efficient Precision Control in Object Detection Models for Enhanced and Reliable Ovarian Follicle Counting. Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, Carole H. Sudre (University College London); Raghav Mehta (Imperial College London); Cheng Ouyang (Oxford University); Chen Qin (Imperial College London); Marianne Rakic (Massachusetts Institute of Technology); William M. Wells (Harvard Medical School), 2024, Marrakesh, Morocco. pp.183-193, ⟨10.1007/978-3-031-73158-7_17⟩. ⟨hal-04895227⟩

    DATAFLOT

    Année de publication

  • Article dans une revue

    Maxime Mahout, Laurent Schwartz, Romain Attal, Ashraf Bakkar, Sabine Peres. Metabolic modelling links Warburg effect to collagen formation, angiogenesis and inflammation in the tumoral stroma. PLoS ONE, 2024, 19 (12), pp.e0313962. ⟨10.1371/journal.pone.0313962⟩. ⟨hal-04873696⟩

    BioInfo

    Année de publication

    Disponible en libre accès

  • Article dans une revue

    Cyril Grouin, Natalia Grabar. Year 2023 in Biomedical Natural Language Processing: A Tribute to Large Language Models and Generative AI. IMIA Yearbook of Medical Informatics, 2024. ⟨hal-04865083⟩

    STL

    Année de publication

  • Article dans une revue

    Angèle Gayet-Ageron, Khaoula Ben Messaoud, Mark Richards, Cyril Jaksic, Julien Gobeill, et al.. Gender and geographical bias in the editorial decision-making process of biomedical journals: a case-control study. BMJ Evidence-Based Medicine, 2024, pp.bmjebm-2024-113083. ⟨10.1136/bmjebm-2024-113083⟩. ⟨hal-04865134⟩

    STL

    Année de publication

  • Article dans une revue

    Abhinav Pujar, Amit Pathania, Corbin Hopper, Amir Pandi, Cristian Ruiz Calderón, et al.. Phage-mediated intercellular CRISPRi for biocomputation in bacterial consortia. Nucleic Acids Research, In press, pp.gkae1256. ⟨10.1093/nar/gkae1256⟩. ⟨hal-04857279⟩

    Année de publication

    Disponible en libre accès

  • Communication dans un congrès

    Iza Marfisi-Schottman, Hubert Santuz, Camille Bisson, Marc Baaden, Nicolas Férey, et al.. Escape from PharmaZ: a Game to Boost Pharmacophore Learning through Immersive Augmented Reality. Games and Learning Alliance 13th International Conference, GALA 2024, Nov 2024, Berlin, Germany. pp.317-327, ⟨10.1007/978-3-031-78269-5_30⟩. ⟨hal-04794554⟩

    VENISE

    Année de publication

    Disponible en libre accès

  • Pré-publication, Document de travail

    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. 2024. ⟨hal-04801125⟩

    AO, BioInfo

    Année de publication

  • Pré-publication, Document de travail

    Antoine Szatkownik, Cyril Furtlehner, Guillaume Charpiat, Burak Yelmen, Flora Jay. Latent generative modeling of long genetic sequences with GANs. 2024. ⟨hal-04801130⟩

    AO, BioInfo

    Année de publication

    Disponible en libre accès

  • Thèse

    Théo Deschamps-Berger. Social Emotion Recognition with multimodal deep learning architecture in emergency call centers. Computation and Language [cs.CL]. Université Paris-Saclay, 2024. English. ⟨NNT : 2024UPASG036⟩. ⟨tel-04750508⟩

    STL

    Année de publication

    Disponible en libre accès

  • Poster de conférence

    Bruno Aristimunha, Thomas Moreau, Sylvain Chevallier, Raphael Y de Camargo, Marie-Constance Corsi. What is the best model for decoding neurophysiological signals? Depends on how you evaluate. CNS 2024 - 33rd Annual Computational Neuroscience Meeting, Jul 2024, Natal, Brazil. ⟨hal-04743845⟩

    AO

    Année de publication

    Disponible en libre accès