• 
  Michele Bernardini, Luca Romeo, Emanuele Frontoni, Massih-Reza Amini. A Semi-Supervised Multi-Task Learning Approach for Predicting Short-Term Kidney Disease Evolution. IEEE Journal of Biomedical and Health Informatics, 2021, 25 (10), pp.3983-3994. ⟨10.1109/JBHI.2021.3074206⟩. ⟨hal-04763776⟩
• 
  Aleksandra Burashnikova, Yury Maximov, Marianne Clausel, Charlotte Laclau, Franck Iutzeler, et al.. Learning over No-Preferred and Preferred Sequence of Items for Robust Recommendation. Journal of Artificial Intelligence Research, 2021, 71, pp.121-142. ⟨10.1613/JAIR.1.12562⟩. ⟨hal-04763774⟩
• 
  Sumit Sidana, Mikhail Trofimov, Oleh Horodnytskyi, Charlotte Laclau, Yury Maximov, et al.. User preference and embedding learning with implicit feedback for recommender systems. Data Mining and Knowledge Discovery, 2021, 35 (2), pp.568-592. ⟨10.1007/S10618-020-00730-8⟩. ⟨hal-04763771⟩
• 
  Lies Hadjadj, Massih-Reza Amini, Sana Louhichi. Generalization Guarantees of Self-Training of Halfspaces under Label Noise Corruption. Thirty-Second International Joint Conference on Artificial Intelligence IJCAI-23, Aug 2023, Macau, China. pp.3777-3785, ⟨10.24963/IJCAI.2023/420⟩. ⟨hal-04763760⟩
• 
  Vasilii Feofanov, Emilie Devijver, Massih-Reza Amini. Multi-class Probabilistic Bounds for Majority Vote Classifiers with Partially Labeled Data. Journal of Machine Learning Research, 2024, 25 (104), pp.1--47. ⟨hal-04763756⟩

180

184