Publicaciones

Affichage de 171 à 180 sur 5536


  • Ouvrages

Conférence Nationale d’Intelligence Artificielle Année 2024

Emmanuel Adam, Thomas Guyet, Benoit Le Blanc, Dominique Longin, Nadia Abchiche-Mimouni, Ghislain Atemezing, Nathalie Aussenac-Gilles, Jean-Guy Mailly, Catherine Roussey, François Schwarzentruber, Anaelle Wilczynski, Haïfa Zargayouna

Activités de l'AFIA du 1er août 2022 au 31 juillet 2024, et sélection de papiers issus de PFIA 2024

Association Française pour l'Intelligence Artificielle, 2024. ⟨hal-04748891⟩

  • Article dans une revue

Controllability of heterogeneous multi-agent systems via cooperative output regulation

Jun Jiang, Yiwen Chen, Othman Lakhal, Rochdi Merzouki

Journal of The Franklin Institute, 2024, 361 (15), pp.107133. ⟨10.1016/j.jfranklin.2024.107133⟩. ⟨hal-04687211⟩

  • Communication dans un congrès

Eyes-free Circular Gestures on Smartphones

Milad Jamalzadeh, Yosra Rekik, Shahzad Iqra, Laurent Grisoni

Smartphones are used in various situations, such as when users have limited visual focus, such as when walking or driving. Eyes-free gestures offer a way to interact with smartphones without requiring visual attention. This research delves into circular eyes-free gestures and elucidates the...

MobileHCI '24 Adjunct: Adjunct Proceedings of the 26th International Conference on Mobile Human-Computer Interaction, Sep 2024, Melbourne, Australia. ⟨10.1145/3640471.3680240⟩. ⟨hal-04738897⟩

  • Communication dans un congrès

An Efficient Decentralized Fine-grained Access Control for IoT Ecosystems over NDN

Ferhat Mecerhed, Youcef Imine, Antoine Gallais, Stefan Fischer, Mohamed Ahmed Hail

2024 International Conference on Software, Telecommunications and Computer Networks (SoftCOM), Sep 2024, Split, France. pp.1-6, ⟨10.23919/SoftCOM62040.2024.10721767⟩. ⟨hal-05031066⟩

  • Communication dans un congrès

Accelerated NAS via pretrained ensembles and multi-fidelity Bayesian Optimization

Houssem Ouertatani, Cristian Maxim, Smail Niar, El-Ghazali Talbi

Bayesian optimization (BO) is a black-box search method particularly valued for its sample efficiency. It is especially effective when evaluations are very costly, such as in hyperparameter optimization or Neural Architecture Search (NAS). In this work, we design a fast NAS method based on BO....

33rd International Conference on Artificial Neural Networks (ICANN), Sep 2024, Lugano, Switzerland. ⟨10.1007/978-3-031-72332-2_17⟩. ⟨hal-04611343⟩