עקוב אחר
Emilie Morvant
Emilie Morvant
Assistant Professor, University of Saint-Etienne (France), Hubert Curien Laboratory
כתובת אימייל מאומתת בדומיין univ-st-etienne.fr - דף הבית
כותרת
צוטט על ידי
צוטט על ידי
שנה
Advances in domain adaptation theory‏
I Redko, E Morvant, A Habrard, M Sebban, Y Bennani‏
Elsevier, 2019‏
328*2019
Majority vote of diverse classifiers for late fusion‏
E Morvant, A Habrard, S Ayache‏
Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR …, 2014‏
1582014
A PAC-Bayesian approach for domain adaptation with specialization to linear classifiers‏
P Germain, A Habrard, F Laviolette, E Morvant‏
International conference on machine learning, 738-746, 2013‏
1492013
A new PAC-Bayesian perspective on domain adaptation‏
P Germain, A Habrard, F Laviolette, E Morvant‏
International conference on machine learning, 859-868, 2016‏
852016
Metric learning from imbalanced data with generalization guarantees‏
L Gautheron, A Habrard, E Morvant, M Sebban‏
Pattern Recognition Letters 133, 298-304, 2020‏
352020
PAC-Bayesian generalization bound on confusion matrix for multi-class classification‏
E Morvant, S Koço, L Ralaivola‏
arXiv preprint arXiv:1202.6228, 2012‏
342012
PAC-Bayes and domain adaptation‏
P Germain, A Habrard, F Laviolette, E Morvant‏
Neurocomputing 379, 379-397, 2020‏
332020
A pac-bayes analysis of adversarial robustness‏
P Viallard, EG VIDOT, A Habrard, E Morvant‏
Advances in Neural Information Processing Systems 34, 14421-14433, 2021‏
322021
Parsimonious unsupervised and semi-supervised domain adaptation with good similarity functions‏
E Morvant, A Habrard, S Ayache‏
Knowledge and Information Systems 33, 309-349, 2012‏
322012
Metric learning from imbalanced data‏
L Gautheron, A Habrard, E Morvant, M Sebban‏
2019 IEEE 31st International Conference on Tools with Artificial …, 2019‏
282019
Pac-bayesian analysis for a two-step hierarchical multiview learning approach‏
A Goyal, E Morvant, P Germain, MR Amini‏
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2017‏
262017
A general framework for the practical disintegration of PAC-Bayesian bounds‏
P Viallard, P Germain, A Habrard, E Morvant‏
Machine Learning 113 (2), 519-604, 2024‏
25*2024
Learning stochastic majority votes by minimizing a PAC-Bayes generalization bound‏
V Zantedeschi, P Viallard, E Morvant, R Emonet, A Habrard, P Germain, ...‏
Advances in Neural Information Processing Systems 34, 455-467, 2021‏
192021
Risk upper bounds for general ensemble methods with an application to multiclass classification‏
F Laviolette, E Morvant, L Ralaivola, JF Roy‏
Neurocomputing 219, 15-25, 2017‏
192017
Domain adaptation of weighted majority votes via perturbed variation-based self-labeling‏
E Morvant‏
Pattern Recognition Letters, 2014‏
182014
Multiview boosting by controlling the diversity and the accuracy of view-specific voters‏
A Goyal, E Morvant, P Germain, MR Amini‏
Neurocomputing 358, 81-92, 2019‏
162019
The multi-task learning view of multimodal data‏
H Kadri, S Ayache, C Capponi, S Koço, FX Dupé, E Morvant‏
Asian Conference on Machine Learning, 261-276, 2013‏
142013
Self-bounding majority vote learning algorithms by the direct minimization of a tight PAC-Bayesian C-bound‏
P Viallard, P Germain, A Habrard, E Morvant‏
Machine Learning and Knowledge Discovery in Databases. Research Track …, 2021‏
102021
PAC-Bayesian theorems for domain adaptation with specialization to linear classifiers‏
P Germain, A Habrard, F Laviolette, E Morvant‏
arXiv preprint arXiv:1503.06944, 2015‏
102015
Sparse domain adaptation in projection spaces based on good similarity functions‏
E Morvant, A Habrard, S Ayache‏
2011 IEEE 11th International Conference on Data Mining, 457-466, 2011‏
102011
המערכת אינה יכולה לבצע את הפעולה כעת. נסה שוב מאוחר יותר.
מאמרים 1–20