Nombre de documents

99

CV de Jean-Philippe Vert


Pré-publication, Document de travail28 documents

  • Marine Le Morvan, Andrei Zinovyev, Jean-Philippe Vert. NetNorM: capturing cancer-relevant information in somatic exome mutation data with gene networks for cancer stratification and prognosis. 2016. <hal-01341856v2>
  • Yunlong Jiao, Jean-Philippe Vert. The Kendall and Mallows Kernels for Permutations. 2016. <hal-01279273v2>
  • Kévin Vervier, Pierre Mahé, Jean-Baptiste Veyrieras, Jean-Philippe Vert. Benchmark of structured machine learning methods for microbial identification from mass-spectrometry data. 2015. <hal-01151889>
  • Kévin Vervier, Pierre Mahé, Maud Tournoud, Jean-Baptiste Veyrieras, Jean-Philippe Vert. Large-scale Machine Learning for Metagenomics Sequence Classification. 2015. <hal-01151453>
  • Nelle Varoquaux, Ferhat Ay, William Noble, Jean-Philippe Vert. A statistical approach for inferring the three-dimensional structure of the genome. 2014. <hal-00937182>
  • Kevin Vervier, Pierre Mahé, Alexandre D'Aspremont, Jean-Baptiste Veyrieras, Jean-Philippe Vert. On learning matrices with orthogonal columns or disjoint supports. 16 pages. 2014. <hal-00985654v2>
  • Emile Richard, Guillaume Obozinski, Jean-Philippe Vert. Tight convex relaxations for sparse matrix factorization. 2014. <hal-01025959v3>
  • Toby Dylan Hocking, Gudrun Schleiermacher, Isabelle Janoueix-Lerosey, Olivier Delattre, Francis Bach, et al.. Learning smoothing models of copy number profiles using breakpoint annotations. 2012. <hal-00663790>
  • Kevin Bleakley, Jean-Philippe Vert. The group fused Lasso for multiple change-point detection. 2011. <hal-00602121>
  • Fantine Mordelet, Jean-Philippe Vert. ProDiGe: PRioritization Of Disease Genes with multitask machine learning from positive and unlabeled examples. 2011. <hal-00594774>
  • Anne-Claire Haury, Laurent Jacob, Jean-Philippe Vert. Increasing stability and interpretability of gene expression signatures. 2010. <hal-00448395>
  • Fantine Mordelet, Jean-Philippe Vert. A bagging SVM to learn from positive and unlabeled examples. 2010. <hal-00523336>
  • Brice Hoffmann, Mikhail Zaslavskiy, Jean-Philippe Vert, Véronique Stoven. A new protein binding pocket similarity measure based on comparison of 3D atom clouds: application to ligand prediction. 2009. <hal-00402627v2>
  • Mikhail Zaslavskiy, Francis Bach, Jean-Philippe Vert. Many-to-Many Graph Matching: a Continuous Relaxation Approach. 19. 2009. <hal-00465916>
  • Kevin Bleakley, Jean-Philippe Vert. Joint segmentation of many aCGH profiles using fast group LARS. 2009. <hal-00422430>
  • Jacob Abernethy, Francis Bach, Theodoros Evgeniou, Jean-Philippe Vert. A New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization. 2008. <hal-00250231v2>
  • Jean-Philippe Vert. The optimal assignment kernel is not positive definite. 2008. <hal-00218278>
  • Laurent Jacob, Francis Bach, Jean-Philippe Vert. Clustered Multi-Task Learning: A Convex Formulation. 2008. <hal-00320573>
  • Mikhail Zaslavskiy, Francis Bach, Jean-Philippe Vert. A path following algorithm for the graph matching problem. 27 pages, 11 figures. 2008. <hal-00232851>
  • Jean-Philippe Vert. Reconstruction of biological networks by supervised machine learning approaches. 2008. <hal-00283945v2>
  • Kevin Bleakley, Gérard Biau, Jean-Philippe Vert. Supervised Reconstruction of Biological Networks with Local Models. 2007. <hal-00130277>
  • Yoshihiro Yamanishi, Jean-Philippe Vert. Kernel matrix regression. 2007. <hal-00133355>
  • Laurent Jacob, Jean-Philippe Vert. Kernel methods for in silico chemogenomics. 2007. <hal-00174808>
  • Pierre Mahé, Liva Ralaivola, Véronique Stoven, Jean-Philippe Vert. The pharmacophore kernel for virtual screening with support vector machines. 2006. <hal-00020066>
  • Pierre Mahé, Jean-Philippe Vert. Graph kernels based on tree patterns for molecules. 2006. <hal-00095488>
  • Jean-Philippe Vert, Jian Qiu, William Noble. Metric learning pairwise kernel for graph inference. 2006. <hal-00108477>
  • Franck Rapaport, Andrei Zinovyev, Marie Dutreix, Emmanuel Barillot, Jean-Philippe Vert. Spectral analysis of gene expression profiles using gene networks. 2006. <hal-00021785>
  • Jean-Philippe Vert. Kernel methods in genomics and computational biology. 2005. <hal-00012124>

Article dans une revue60 documents

  • Kevin Vervier, Pierre Mahé, Maud Tourmoud, Jean-Baptiste Veyrieras, Jean-Philippe Vert. Large-scale machine learning for metagenomics sequence classification. Bioinformatics, Oxford University Press (OUP), 2016, 32 (7), pp.1023-32. <hal-01420829>
  • S Sieberts, Fan Zhu, Javier García-García, Eli Stahl, Abhishek Pratap, et al.. Crowdsourced assessment of common genetic contribution to predicting anti-TNF treatment response in rheumatoid arthritis.. Nature Communications, Nature Publishing Group, 2016, 7, pp.12460. <10.1038/ncomms12460>. <hal-01420921>
  • Laurent Guyon, Christian Lajaunie, Frédéric Fer, Ricky Bhajun, Eric Sulpice, et al.. Phi-score: A cell-to-cell phenotypic scoring method for sensitive and selective hit discovery in cell-based assays. Scientific Reports, Nature Publishing Group, 2015, 5 (14221), <http://www.nature.com/articles/srep14221>. <10.1038/srep14221>. <hal-01246683>
  • Erwan Scornet, Gérard Biau, Jean-Philippe Vert. Consistency of random forests. Annals of Statistics, Institute of Mathematical Statistics, 2015, 43 (4), pp.1716-1741. <10.1214/15-AOS1321>. <hal-00990008v4>
  • Ferhat Ay, Evelien M. Bunnik, Nelle Varoquaux, Jean-Philippe Vert, William Stafford Noble, et al.. Multiple dimensions of epigenetic gene regulation in the malaria parasite Plasmodium falciparum. BioEssays, Wiley-VCH Verlag, 2015, 37 (2), pp.182-194. <10.1002/bies.201400145>. <hal-01246696>
  • Nicolas Servant, Nelle Varoquaux, R. Lajoie Bryan, Eric Viara, Chong-Jian Chen, et al.. HiC-Pro: An optimized and flexible pipeline for Hi-C data processing. Genome Biology, BioMed Central, 2015, 16, pp.259. <10.1186/s13059-015-0831-x>. <hal-01246671>
  • Nelle Varoquaux, Ivan Liachko, Ferhat Ay, Joshua N. Burton, Jay Shendure, et al.. Accurate identification of centromere locations in yeast genomes using Hi-C. Nucleic Acids Research, Oxford University Press (OUP): Policy C - Option B, 2015, 43 (11), pp.5331-5339. <10.1093/nar/gkv424>. <hal-01246687>
  • Matahi Moarii, Fabien Reyal, Jean-Philippe Vert. Integrative DNA methylation and gene expression analysis to assess the universality of the CpG island methylator phenotype. Human Genomics, BioMed Central, 2015, 9 (26), <10.1186/s40246-015-0048-9>. <hal-01246676>
  • Elsa Bernard, Laurent Jacob, Julien Mairal, Eric Viara, Jean-Philippe Vert. A convex formulation for joint RNA isoform detection and quantification from multiple RNA-seq samples. BMC Bioinformatics, BioMed Central, 2015, 16 (1), pp.262. <http://www.biomedcentral.com/1471-2105/16/262>. <10.1186/s12859-015-0695-9>. <hal-01123141v3>
  • Ferhat Ay, Thanh H. Vu, Michael J. Zeitz, Nelle Varoquaux, Jan E. Carette, et al.. Identifying multi-locus chromatin contacts in human cells using tethered multiple 3C. BMC Genomics, BioMed Central, 2015, 16, pp.121. <10.1186/s12864-015-1236-7>. <hal-01152400>
  • Matahi Moarii, Valentina Boeva, Jean-Philippe Vert, Fabien Reyal. Changes in gene expression control by DNA methylation in cancer. BMC Genomics, BioMed Central, 2015, 16 (873), <10.1186/s12864-015-1994-2>. <hal-01246674>
  • Alice Schoenauer Sebag, Sandra Plancade, Céline Raulet-Tomkiewicz, Robert Barouki, Jean-Philippe Vert, et al.. A generic methodological framework for studying single cell motility in high-throughput time-lapse data. Bioinformatics, Oxford University Press (OUP), 2015, 31 (12), pp.i320-i328. <10.1093/bioinformatics/btv225>. <hal-01246689>
  • Federica Eduati, Lara M Mangravite, Tao Wang, Hao Tang, J Christopher Bare, et al.. Prediction of human population responses to toxic compounds by a collaborative competition.. Nature Biotechnology, Nature Publishing Group, 2015, 33 (9), pp.933-40. <10.1038/nbt.3299>. <hal-01428019>
  • Matahi Moarii, Alice Pinheiro, Brigitte Sigal-Zafrani, Alain Fourquet, Martial Caly, et al.. Epigenomic Alterations in Breast Carcinoma from Primary Tumor to Locoregional Recurrences. PLoS ONE, Public Library of Science, 2014, 9 (8), pp.e103986. <10.1371/journal.pone.0103986>. <hal-01064211>
  • Cendrine Tourette, Francesca Farina, Rafael P. Vasquez-Manrique, Anne-Marie Orfila, Jessica Voisin, et al.. The Wnt Receptor Ryk Reduces Neuronal and Cell Survival Capacity by Repressing FOXO Activity During the Early Phases of Mutant Huntingtin Pathogenicity. PLoS Biology, Public Library of Science, 2014, 12 (6), pp.e1001895. <10.1371/journal.pbio.1001895>. <hal-01076146>
  • Ferhat Ay, Evelien M. Bunnik, Nelle Varoquaux, Sebastiaan M. Bol, Jacques Prudhomme, et al.. Three-dimensional modeling of the P. falciparum genome during the erythrocytic cycle reveals a strong connection between genome architecture and gene expression. Genome Research, Cold Spring Harbor Laboratory Press, 2014, 24, pp.974-988. <10.1101/gr.169417.113>. <hal-01101873>
  • Jean-Louis Plouhinec, Daniel Roche, Caterina Perogaro, Ana Leonor Figueiredo, Frédérique Maczkowiak, et al.. Pax3 and Zic1 trigger the early neural crest gene regulatory network by the direct activation of multiple key neural crest specifiers. Developmental Biology, Elsevier, 2014, 386 (2), pp.461-472. <10.1016/j.ydbio.2013.12.010>. <hal-01101867>
  • James C Costello, Laura M Heiser, Elisabeth Georgii, Mehmet Gönen, Michael P Menden, et al.. A community effort to assess and improve drug sensitivity prediction algorithms. Nature Biotechnology, Nature Publishing Group, 2014, 32, pp.1202-1212. <10.1038/nbt.2877>. <hal-01101874>
  • Elsa Bernard, Laurent Jacob, Julien Mairal, Jean-Philippe Vert. Efficient RNA Isoform Identification and Quantification from RNA-Seq Data with Network Flows. Bioinformatics, Oxford University Press (OUP), 2014, 30 (17), pp.2447-2455. <10.1093/bioinformatics/btu317>. <hal-00803134v3>
  • Toby D. Hocking, Valentina Boeva, Guillem Rigaill, Gudrun Schleiermacher, Isabelle Janoueix-Lerosey, et al.. SegAnnDB: interactive web-based genomic segmentation. Bioinformatics, Oxford University Press (OUP), 2014, 30 (11), pp.1539-1546. <10.1093/bioinformatics/btu072>. <hal-01101868>
  • Nelle Varoquaux, Ferhat Ay, William Stafford Noble, Jean-Philippe Vert. A statistical approach for inferring the three-dimensional structure of the genome. Bioinformatics, Oxford University Press (OUP), 2014, 30 (12), pp.i26-i33. <10.1093/bioinformatics/btu268>. <hal-01101869>
  • Edouard Pauwels, Christian Lajaunie, Jean-Philippe Vert. A Bayesian active learning strategy for sequential experimental design in systems biology. BMC Systems Biology, BioMed Central, 2014, 8, pp.102. <10.1186/s12918-014-0102-6>. <hal-01101870>
  • Edouard Pauwels, Christian Lajaunie, Jean-Philippe Vert. A Bayesian active learning strategy for sequential experimental design in systems biology. BMC Systems Biology, BioMed Central, 2014, 8, 12p. <hal-00943728>
  • Fantine Mordelet, Jean-Philippe Vert. A bagging SVM to learn from positive and unlabeled examples. Pattern Recognition Letters, Elsevier, 2014, 37, pp.201-209. <10.1016/j.patrec.2013.06.010>. <hal-01101852>
  • Jean-Philippe Vert. Les applications industrielles de la bio-informatique. Réalités industrielles. Annales des mines, Ed. Eska, 2013, Février 2013, pp.17-23. <hal-00796732>
  • François-Xavier Lejeune, Lilia Mesrob, Frédéric Parmentier, Cedric Bicep, Rafael Vazquez-Manrique, et al.. Large-scale functional RNAi screen in C. elegans identifies genes that regulate the dysfunction of mutant polyglutamine neurons.. BMC Genomics, BioMed Central, 2012, 13 (1), pp.91. <10.1186/1471-2164-13-91>. <inserm-00690001>
  • Anne-Claire Haury, Fantine Mordelet, Paola Vera-Licona, Jean-Philippe Vert. TIGRESS: Trustful Inference of Gene REgulation using Stability Selection.. BMC Systems Biology, BioMed Central, 2012, 6 (1), pp.145. <10.1186/1752-0509-6-145>. <inserm-00797206>
  • Anne-Claire Haury, Pierre Gestraud, Jean-Philippe Vert. The influence of feature selection methods on accuracy, stability and interpretability of molecular signatures. PLoS ONE, Public Library of Science, 2011, pp.6(12): e28210. <10.1371/journal.pone.0028210>. <hal-00559580v2>
  • Fantine Mordelet, Jean-Philippe Vert. ProDiGe: Prioritization Of Disease Genes with multitask machine learning from positive and unlabeled examples.. BMC Bioinformatics, BioMed Central, 2011, 12 (1), pp.389. <10.1186/1471-2105-12-389>. <inserm-00641298>
  • Brice Hoffmann, Mikhail Zaslavskiy, Jean-Philippe Vert, Véronique Stoven. A new protein binding pocket similarity measure based on comparison of clouds of atoms in 3D: application to ligand prediction.. BMC Bioinformatics, BioMed Central, 2010, 11 (1), pp.99. <10.1186/1471-2105-11-99>. <inserm-00663528>
  • Martial Hue, Michael Riffle, Jean-Philippe Vert, William Noble. Large-scale prediction of protein-protein interactions from structures. BMC Bioinformatics, BioMed Central, 2010, 11 (1), pp.144. <10.1186/1471-2105-11-144>. <inserm-00663765>
  • Pierre Mahé, Jean-Philippe Vert. Virtual screening with support vector machines and structure kernels.. Combinatorial Chemistry & High Throughput Screening, 2009, 12 (4), pp.409-23. <hal-00433568>
  • Mikhail Zaslavskiy, Francis Bach, Jean-Philippe Vert. Global alignment of protein-protein interaction networks by graph matching methods.. Bioinformatics, Oxford University Press (OUP), 2009, 25 (12), pp.i259-67. <10.1093/bioinformatics/btp196>. <hal-00382501>
  • Mikhail Zaslavskiy, Francis Bach, Jean-Philippe Vert. A path following algorithm for the graph matching problem.. IEEE Transactions on Pattern Analysis and Machine Intelligence, Institute of Electrical and Electronics Engineers, 2009, 31 (12), pp.2227-42. <10.1109/TPAMI.2008.245>. <hal-00433567>
  • Pierre Mahé, Jean-Philippe Vert. Virtual screening with support vector machines and structure kernels.. Combinatorial Chemistry and High Throughput Screening, Bentham Science Publishers, 2009, 12 (4), pp.409-23. <hal-00166188>
  • Jean-Philippe Vert, Laurent Jacob. Machine learning for in silico virtual screening and chemical genomics: new strategies.. Combinatorial Chemistry & High Throughput Screening, 2008, 11 (8), pp.677-85. <hal-00433569>
  • Laurent Jacob, Brice Hoffmann, Véronique Stoven, Jean-Philippe Vert. Virtual screening of GPCRs: An in silico chemogenomics approach. BMC Bioinformatics, BioMed Central, 2008, 9, pp.363. <10.1186/1471-2105-9-363>. <hal-00220396v2>
  • Franck Rapaport, Emmanuel Barillot, Jean-Philippe Vert. Classification of arrayCGH data using fused SVM.. Bioinformatics, Oxford University Press (OUP), 2008, 24 (13), pp.i375-82. <10.1093/bioinformatics/btn188>. <inserm-00293893>
  • Fantine Mordelet, Jean-Philippe Vert. SIRENE: Supervised Inference of Regulatory Networks. Bioinformatics, Oxford University Press (OUP), 2008, 24 (16), pp.i76-82. <10.1093/bioinformatics/btn273>. <hal-00259119>
  • Laurent Jacob, Jean-Philippe Vert. Protein-ligand interaction prediction: an improved chemogenomics approach.. Bioinformatics, Oxford University Press (OUP), 2008, 24 (19), pp.2149-56. <10.1093/bioinformatics/btn409>. <hal-00433572>
  • Laurent Jacob, Jean-Philippe Vert. Efficient peptide-MHC-I binding prediction for alleles with few known binders.. Bioinformatics, Oxford University Press (OUP), 2008, 24 (3), pp.358-66. <10.1093/bioinformatics/btm611>. <hal-00433574>
  • Jean-Philippe Vert, Jian Qiu, William S Noble. A new pairwise kernel for biological network inference with support vector machines.. BMC Bioinformatics, BioMed Central, 2007, 8 Suppl 10, pp.S8. <10.1186/1471-2105-8-S10-S8>. <hal-00433573>
  • Franck Rapaport, Andrei Zinovyev, Marie Dutreix, Emmanuel Barillot, Jean-Philippe Vert. Classification of microarray data using gene networks.. BMC Bioinformatics, BioMed Central, 2007, 8, pp.35. <10.1186/1471-2105-8-35>. <hal-00433577>
  • Kevin Bleakley, Gérard Biau, Jean-Philippe Vert. Supervised reconstruction of biological networks with local models.. Bioinformatics, Oxford University Press (OUP), 2007, 23 (13), pp.i57-65. <10.1093/bioinformatics/btm204>. <hal-00433575>
  • Yoshihiro Yamanishi, Francis Bach, Jean-Philippe Vert. Glycan classification with tree kernels.. Bioinformatics, Oxford University Press (OUP), 2007, 23 (10), pp.1211-6. <10.1093/bioinformatics/btm090>. <hal-00433576>
  • Jian Qiu, Martial Hue, Asa Ben-Hur, Jean-Philippe Vert, William Stafford Noble. A structural alignment kernel for protein structures.. Bioinformatics, Oxford University Press (OUP), 2007, 23 (9), pp.1090-8. <10.1093/bioinformatics/btl642>. <hal-00433578>
  • Pierre Mahé, Liva Ralaivola, Véronique Stoven, Jean-Philippe Vert. The pharmacophore kernel for virtual screening with support vector machines.. Journal of Chemical Information and Modeling, American Chemical Society, 2006, 46 (5), pp.2003-14. <10.1021/ci060138m>. <hal-00433580>
  • Jean-Philippe Vert, Nicolas Foveau, Christian Lajaunie, Yves Vandenbrouck. An accurate and interpretable model for siRNA efficacy prediction.. BMC Bioinformatics, BioMed Central, 2006, 7, pp.520. <10.1186/1471-2105-7-520>. <hal-00433579>
  • Hiroto Saigo, Jean-Philippe Vert, Tatsuya Akutsu. Optimizing amino acid substitution matrices with a local alignment kernel.. BMC Bioinformatics, BioMed Central, 2006, 7, pp.246. <10.1186/1471-2105-7-246>. <hal-00433581>
  • Pierre Mahé, Nobuhisa Ueda, Tatsuya Akutsu, Jean-Luc Perret, Jean-Philippe Vert. Graph kernels for molecular structure-activity relationship analysis with support vector machines.. Journal of Chemical Information and Modeling, American Chemical Society, 2005, 45 (4), pp.939-51. <10.1021/ci050039t>. <hal-00433584>
  • Setsuro Matsuda, Jean-Philippe Vert, Hiroto Saigo, Nobuhisa Ueda, Hiroyuki Toh, et al.. A novel representation of protein sequences for prediction of subcellular location using support vector machines.. Protein Science, Wiley, 2005, 14 (11), pp.2804-13. <10.1110/ps.051597405>. <hal-00433582>
  • Marco Cuturi, Jean-Philippe Vert. The context-tree kernel for strings.. Neural Networks, Elsevier, 2005, 18 (8), pp.1111-23. <10.1016/j.neunet.2005.07.010>. <hal-00433583>
  • Yoshihiro Yamanishi, Jean-Philippe Vert, Minoru Kanehisa. Supervised enzyme network inference from the integration of genomic data and chemical information.. Bioinformatics, Oxford University Press (OUP), 2005, 21 Suppl 1, pp.i468-77. <10.1093/bioinformatics/bti1012>. <hal-00433585>
  • Y. Yamanishi, Jean-Philippe Vert, M. Kanehisa. Protein network inference from multiple genomic data: a supervised approach.. Bioinformatics, Oxford University Press (OUP), 2004, 20 Suppl 1, pp.i363-70. <10.1093/bioinformatics/bth910>. <hal-00433586>
  • Hiroto Saigo, Jean-Philippe Vert, Nobuhisa Ueda, Tatsuya Akutsu. Protein homology detection using string alignment kernels.. Bioinformatics, Oxford University Press (OUP), 2004, 20 (11), pp.1682-9. <10.1093/bioinformatics/bth141>. <hal-00433587>
  • Jean-Philippe Vert, Minoru Kanehisa. Extracting active pathways from gene expression data.. Bioinformatics, Oxford University Press (OUP), 2003, 19 Suppl 2, pp.ii238-44. <hal-00433588>
  • Y. Yamanishi, Jean-Philippe Vert, A. Nakaya, M. Kanehisa. Extraction of correlated gene clusters from multiple genomic data by generalized kernel canonical correlation analysis.. Bioinformatics, Oxford University Press (OUP), 2003, 19 Suppl 1, pp.i323-30. <hal-00433589>
  • Kenta Nakai, Jean-Philippe Vert. Genome informatics for data-driven biology.. Genome Biology, BioMed Central, 2002, 3 (4), pp.REPORTS4010. <hal-00433592>
  • Jean-Philippe Vert. Support vector machine prediction of signal peptide cleavage site using a new class of kernels for strings.. Pacific Symposium on Biocomputing, World Scientific, 2002, pp.649-60. <hal-00433593>
  • Jean-Philippe Vert. A tree kernel to analyse phylogenetic profiles.. Bioinformatics, Oxford University Press (OUP), 2002, 18 Suppl 1, pp.S276-84. <hal-00433591>

Communication dans un congrès7 documents

  • Yunlong Jiao, Jean-Philippe Vert. The Kendall and Mallows Kernels for Permutations. International Conference on Machine Learning, Jul 2015, Lille, France. Proceedings of the 32nd International Conference on Machine Learning, pp.1935-1944, 2015. <hal-01246686>
  • Alice Schoenauer Sebag, Sandra Plancade, Céline Raulet-Tomkiewicz, Robert Barouki, Jean-Philippe Vert, et al.. Inferring an ontology of single cell motions from high-throughput microscopy data. 2015 IEEE International Symposium on Biomedical Imaging, Apr 2015, New-York, United States. Proceedings of the 2015 IEEE International Symposium on Biomedical Imaging, pp.160-163, 2015, Proceedings of the 2015 IEEE International Symposium on Biomedical Imaging. <10.1109/ISBI.2015.7163840>. <hal-01246694>
  • Kevin Vervier, Pierre Mahé, Alexandre D'Aspremont, Jean-Baptiste Veyrieras, Jean-Philippe Vert. On learning matrices with orthogonal columns or disjoint supports. T. Calder et al. European Conference, ECML PKDD 2014, Sep 2014, Nancy, France. LNCS 8726, pp.274-289, 2014, Machine Learning and Knowledge Discovery in Databases. <10.1007/978-3-662-44845-8_18>. <hal-01101875>
  • Emile Richard, Guillaume Obozinski, Jean-Philippe Vert. Tight convex relaxations for sparse matrix factorization. Z. Ghahramani, M. Welling, C. Cortes, N.D. Lawrence and K.Q. Weinberger. Neural Information Processing Systems, Dec 2014, Montreal, Canada. pp.3284-3292, Advances in Neural Information Processing Systems 27. <hal-01101878>
  • Emile Richard, Francis Bach, Jean-Philippe Vert. Intersecting singularities for multi-structured estimation. ICML 2013 - 30th International Conference on Machine Learning, Jun 2013, Atlanta, United States. 2013. <hal-00918253>
  • Guillem Rigaill, Toby Dylan Hocking, Francis Bach, Jean-Philippe Vert. Learning Sparse Penalties for Change-Point Detection using Max Margin Interval Regression. ICML 2013 - 30 th International Conference on Machine Learning, Jun 2013, Atlanta, United States. 2013. <hal-00824075>
  • Toby Dylan Hocking, Armand Joulin, Francis Bach, Jean-Philippe Vert. Clusterpath An Algorithm for Clustering using Convex Fusion Penalties. 28th international conference on machine learning, Jun 2011, United States. pp.1, 2011. <hal-00591630>

Chapitre d'ouvrage1 document

  • François Coste, Claire Nédellec, Thomas Schiex, Jean-Philippe Vert. Bioinformatique. Pierre Marquis and Odile Papini and Henri Prade. Panorama de l'intelligence artificielle Ses bases méthodologiques, ses développements, 3, Cépaduès, 2013. <hal-00857379>

Autre publication1 document

  • Laurent Jacob, Jean-Philippe Vert. Epitope prediction improved by multitask support vector machines. We use various multitask kernels in order to improve MHC-I-peptide binding prediction, in particu.. 2007. <hal-00129062>

Rapport2 documents

  • Anne-Claire Haury, Fantine Mordelet, Paola Vera-Licona, Jean-Philippe Vert. TIGRESS: Trustful Inference of Gene REgulation using Stability Selection.. 2012. <hal-00694218>
  • Guillaume Obozinski, Laurent Jacob, Jean-Philippe Vert. Group Lasso with Overlaps: the Latent Group Lasso approach. [Research Report] 2011, pp.60. <inria-00628498>