• 
  Moussa Baddour, Stéphane Paquelet, Paul Rollier, Marie De Tayrac, Olivier Dameron, et al.. Phenotypes Extraction from Text: Analysis and Perspective in the LLM Era. IS 2024 - 12th IEEE International Conference on Intelligent Systems, Aug 2024, Varna, Bulgaria. pp.1-8, ⟨10.1109/IS61756.2024.10705235⟩. ⟨hal-04647016⟩
• 
  Majd Saleh, Stéphane Paquelet, Pierre Castel, Marc Hoarau, Nico Pallamin, et al.. An Efficient Deep-Learning-Based Solution for the Recognition of Relative Changes in Mental Workload Using Wearable Sensors. 2023 IEEE SENSORS, Oct 2023, Vienna, Austria. pp.1-4, ⟨10.1109/SENSORS56945.2023.10324874⟩. ⟨hal-04403686⟩
• 
  Marouane Aannir, Rachid Hakkou, Clément Levard, Yassine Taha, Abdellatif Ghennioui, et al.. Towards a closed loop recycling process of end-of-life lithium-ion batteries: Recovery of critical metals and electrochemical performance evaluation of a regenerated LiCoO2. Journal of Power Sources, 2023, 580, pp.233341. ⟨10.1016/j.jpowsour.2023.233341⟩. ⟨hal-04296918⟩
• 
  Taha Yassine, Luc Le Magoarou, Matthieu Crussière, Stephane Paquelet. Optimizing Multicarrier Multiantenna Systems for LoS Channel Charting. 2023. ⟨hal-04218039v2⟩
• 
  Vincent Lannurien, Laurent D’orazio, Olivier Barais, Stephane Paquelet, Jalil Boukhobza. Distributed Function Cache for Heterogeneous Serverless Cloud. Per3S - Performance and Scalability of Storage Systems, May 2023, Paris, France. pp.1-1, 2023. ⟨hal-04303898⟩

35