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Vasilii Feofanov
Vasilii Feofanov
PhD in Machine Learning, Huawei Noah's Ark Lab
Verified email at huawei.com - Homepage
Title
Cited by
Cited by
Year
Self-training: A survey
MR Amini, V Feofanov, L Pauletto, E Devijver, Y Maximov
arXiv preprint arXiv:2202.12040, 2022
832022
Wrapper feature selection with partially labeled data
V Feofanov, E Devijver, MR Amini
Applied Intelligence 52 (11), 12316-12329, 2022
27*2022
Transductive bounds for the multi-class majority vote classifier
V Feofanov, E Devijver, MR Amini
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 3566-3573, 2019
252019
Multi-class Probabilistic Bounds for Majority Vote Classifiers with Partially Labeled Data
V Feofanov, E Devijver, MR Amini
Journal of Machine Learning Research 25 (104), 1-47, 2024
4*2024
Random matrix analysis to balance between supervised and unsupervised learning under the low density separation assumption
V Feofanov, M Tiomoko, A Virmaux
International Conference on Machine Learning, 10008-10033, 2023
22023
Leveraging ensemble diversity for robust self-training in the presence of sample selection bias
A Odonnat, V Feofanov, I Redko
International Conference on Artificial Intelligence and Statistics, 595-603, 2024
12024
Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention
R Ilbert, A Odonnat, V Feofanov, A Virmaux, G Paolo, T Palpanas, I Redko
arXiv preprint arXiv:2402.10198, 2024
12024
Пошаговая дискриминация, кросс-валидация и бутстрап в задаче классификации пострадавших с сочетанной травмой груди
ВА Феофанов
Процессы управления и устойчивость 3 (1), 327-331, 2016
12016
Characterising Gradients for Unsupervised Accuracy Estimation under Distribution Shift
R Xie, A Odonnat, V Feofanov, I Redko, J Zhang, B An
arXiv preprint arXiv:2401.08909, 2024
2024
Learning with Partially Labeled Data for Multi-class Classification and Feature Selection
V Feofanov
Université Grenoble Alpes [2020-....], 2021
2021
Bornes du vote majoritaire multi-classes en présence du bruit sur les étiquettes de classes
V Feofanov, E Devijver, MR Amini
Conférence sur l'Apprentissage Automatique, 2021
2021
Дискриминантный анализ базы данных
ВА Феофанов
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