Publications

2023

  • Leveraging Ensemble Diversity for Robust Self-Training in the Presence of Sample Selection Bias

    Ambroise Odonnat, Vasilii Feofanov, Ievgen Redko
    arXiv preprint arXiv:2310.14814

  • Random Matrix Analysis to Balance between Supervised and Unsupervised Learning under the Low Density Separation Assumption

    Vasilii Feofanov, Malik Tiomoko, Aladin Virmaux
    Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10008-10033
2022

  • Self-Training: A Survey

    Massih-Reza Amini, Vasilii Feofanov, Loic Pauletto, Lies Hadjadj, Emilie Devijver, Yury Maximov
    arXiv preprint arXiv:2202.12040

  • Wrapper Feature Selection with Partially Labeled Data

    Vasilii Feofanov, Emilie Devijver, Massih-Reza Amini
    Applied Intelligence, 52, 12316–12329.
2021

  • Learning with Partially Labeled Data for Multi-class Classification and Feature Selection

    Vasilii Feofanov
    PhD Thesis, Université Grenoble Alpes.

  • Multi-class Probabilistic Bounds for Self-learning

    Vasilii Feofanov, Emilie Devijver, Massih-Reza Amini
    arXiv preprint arXiv:2109.14422
2019

  • Transductive Bounds for the Multi-class Majority Vote Classifier

    Vasilii Feofanov, Emilie Devijver, Massih-Reza Amini
    Proceedings of the AAAI Conference on Artificial Intelligence, 33(01), 3566-3573.
2016

  • Stepwise Discrimination, Cross-Validation and Bootstrap in the Problem of the Classification of Patients with Concomitant Chest Injury. (In Russian)

    Vasilii Feofanov
    In Control processes and stability, 3(1), 327-331.