متابعة
Liva Ralaivola
Liva Ralaivola
Criteo AI Lab
بريد إلكتروني تم التحقق منه على criteo.com - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
Gene networks inference using dynamic Bayesian networks‏
BE Perrin, L Ralaivola, A Mazurie, S Bottani, J Mallet, F d'Alché-Buc‏
Bioinformatics-Oxford 19 (2), 138-148, 2003‏
6252003
Graph kernels for chemical informatics‏
L Ralaivola, SJ Swamidass, H Saigo, P Baldi‏
Neural networks 18 (8), 1093-1110, 2005‏
6152005
Kernels for small molecules and the prediction of mutagenicity, toxicity and anti-cancer activity‏
SJ Swamidass, J Chen, J Bruand, P Phung, L Ralaivola, P Baldi‏
Bioinformatics 21 (suppl_1), i359-i368, 2005‏
2522005
Incremental support vector machine learning: A local approach‏
L Ralaivola, F d’Alché-Buc‏
Artificial Neural Networks—ICANN 2001: International Conference Vienna …, 2001‏
1752001
The pharmacophore kernel for virtual screening with support vector machines‏
P Mahé, L Ralaivola, V Stoven, JP Vert‏
Journal of chemical information and modeling 46 (5), 2003-2014, 2006‏
1282006
Dynamic screening: Accelerating first-order algorithms for the lasso and group-lasso‏
A Bonnefoy, V Emiya, L Ralaivola, R Gribonval‏
IEEE Transactions on Signal Processing 63 (19), 5121-5132, 2015‏
992015
Learning SVMs from sloppily labeled data‏
G Stempfel, L Ralaivola‏
Artificial Neural Networks–ICANN 2009: 19th International Conference …, 2009‏
962009
Chromatic PAC-Bayes bounds for non-iid data: Applications to ranking and stationary β-mixing processes‏
L Ralaivola, M Szafranski, G Stempfel‏
The Journal of Machine Learning Research 11, 1927-1956, 2010‏
882010
One-to four-dimensional kernels for virtual screening and the prediction of physical, chemical, and biological properties‏
CA Azencott, A Ksikes, SJ Swamidass, JH Chen, L Ralaivola, P Baldi‏
Journal of chemical information and modeling 47 (3), 965-974, 2007‏
872007
Time series filtering, smoothing and learning using the kernel Kalman filter‏
L Ralaivola, F d'Alché-Buc‏
Proceedings. 2005 IEEE International Joint Conference on Neural Networks …, 2005‏
832005
Dynamical modeling with kernels for nonlinear time series prediction‏
L Ralaivola, F d'Alché-Buc‏
Advances in neural information processing systems 16, 2003‏
792003
Grammatical inference as a principal component analysis problem‏
R Bailly, F Denis, L Ralaivola‏
Proceedings of the 26th Annual International Conference on Machine Learning …, 2009‏
772009
A dynamic screening principle for the lasso‏
A Bonnefoy, V Emiya, L Ralaivola, R Gribonval‏
2014 22nd European signal processing conference (EUSIPCO), 6-10, 2014‏
722014
Multiple indefinite kernel learning with mixed norm regularization‏
M Kowalski, M Szafranski, L Ralaivola‏
Proceedings of the 26th Annual International Conference on Machine Learning …, 2009‏
632009
Empirical Bernstein inequalities for u-statistics‏
T Peel, S Anthoine, L Ralaivola‏
Advances in Neural Information Processing Systems 23, 2010‏
562010
Graph-based inter-subject pattern analysis of fMRI data‏
S Takerkart, G Auzias, B Thirion, L Ralaivola‏
PloS one 9 (8), e104586, 2014‏
382014
PAC-Bayesian generalization bound on confusion matrix for multi-class classification‏
E Morvant, S Koço, L Ralaivola‏
arXiv preprint arXiv:1202.6228, 2012‏
362012
SVM and pattern-enriched common fate graphs for the game of go.‏
L Ralaivola, L Wu, P Baldi‏
ESANN 2005, 27-29, 2005‏
322005
Confusion matrix stability bounds for multiclass classification‏
P Machart, L Ralaivola‏
arXiv preprint arXiv:1202.6221, 2012‏
292012
Quantum bandits‏
B Casalé, G Di Molfetta, H Kadri, L Ralaivola‏
Quantum Machine Intelligence 2, 1-7, 2020‏
272020
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مقالات 1–20