Jean-Philippe Vert

131 papers A* 15A 4B 2C 6Misc 2Journal 80Unranked 22

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Scaling ResNets in the Large-depth Regime. J. Mach. Learn. Res. Pierre Marion, Adeline Fermanian, Gérard Biau, Jean-Philippe Vert
2023	J	`jnl`	Inference of 3D genome architecture by modeling overdispersion of Hi-C data. Bioinform. Nelle Varoquaux, William S. Noble, Jean-Philippe Vert
2023	J	`jnl`	LSMMD-MA: scaling multimodal data integration for single-cell genomics data analysis. Bioinform. Laetitia Meng-Papaxanthos, Ran Zhang, Gang Li, Marco Cuturi, William Stafford Noble, Jean-Philippe Vert
2023	A	`conf`	Regression as Classification: Influence of Task Formulation on Neural Network Features. AISTATS Lawrence Stewart, Francis R. Bach, Quentin Berthet, Jean-Philippe Vert
2022	A*	`conf`	Efficient and Modular Implicit Differentiation. NeurIPS Mathieu Blondel, Quentin Berthet, Marco Cuturi, Roy Frostig, Stephan Hoyer, Felipe Llinares-López, Fabian Pedregosa, Jean-Philippe Vert
2022	J	`jnl`	Multimodal Single-Cell Translation and Alignment with Semi-Supervised Learning. J. Comput. Biol. Ran Zhang, Laetitia Meng-Papaxanthos, Jean-Philippe Vert, William Stafford Noble
2022	J	`jnl`	On Mixup Regularization. J. Mach. Learn. Res. Luigi Carratino, Moustapha Cissé, Rodolphe Jenatton, Jean-Philippe Vert
2022	J	`jnl`	Regression as Classification: Influence of Task Formulation on Neural Network Features. CoRR Lawrence Stewart, Francis R. Bach, Quentin Berthet, Jean-Philippe Vert
2022	J	`jnl`	Scaling ResNets in the Large-depth Regime. CoRR Pierre Marion, Adeline Fermanian, Gérard Biau, Jean-Philippe Vert
2022	B	`conf`	Semi-supervised Single-Cell Cross-modality Translation Using Polarbear. RECOMB Ran Zhang, Laetitia Meng-Papaxanthos, Jean-Philippe Vert, William Stafford Noble
2021	A	`conf`	Differentiable Divergences Between Time Series. AISTATS Mathieu Blondel, Arthur Mensch, Jean-Philippe Vert
2021	J	`jnl`	Efficient and Modular Implicit Differentiation. CoRR Mathieu Blondel, Quentin Berthet, Marco Cuturi, Roy Frostig, Stephan Hoyer, Felipe Llinares-López, Fabian Pedregosa, Jean-Philippe Vert
2021	A*	`conf`	Framing RNN as a kernel method: A neural ODE approach. NeurIPS Adeline Fermanian, Pierre Marion, Jean-Philippe Vert, Gérard Biau
2021	J	`jnl`	Framing RNN as a kernel method: A neural ODE approach. CoRR Adeline Fermanian, Pierre Marion, Jean-Philippe Vert, Gérard Biau
2021	A*	`conf`	Reverse-Complement Equivariant Networks for DNA Sequences. NeurIPS Vincent Mallet, Jean-Philippe Vert
2020	J	`jnl`	Differentiable Divergences Between Time Series. CoRR Mathieu Blondel, Arthur Mensch, Jean-Philippe Vert
2020	J	`jnl`	Gene regulation inference from single-cell RNA-seq data with linear differential equations and velocity inference. Bioinform. Pierre-Cyril Aubin-Frankowski, Jean-Philippe Vert
2020	A*	`conf`	Learning with Differentiable Pertubed Optimizers. NeurIPS Quentin Berthet, Mathieu Blondel, Olivier Teboul, Marco Cuturi, Jean-Philippe Vert, Francis R. Bach
2020	J	`jnl`	Learning with Differentiable Perturbed Optimizers. CoRR Quentin Berthet, Mathieu Blondel, Olivier Teboul, Marco Cuturi, Jean-Philippe Vert, Francis R. Bach
2020	J	`jnl`	MissDeepCausal: Causal Inference from Incomplete Data Using Deep Latent Variable Models. CoRR Imke Mayer, Julie Josse, Félix Raimundo, Jean-Philippe Vert
2020	J	`jnl`	Noisy Adaptive Group Testing using Bayesian Sequential Experimental Design. CoRR Marco Cuturi, Olivier Teboul, Jean-Philippe Vert
2020	J	`jnl`	On Mixup Regularization. CoRR Luigi Carratino, Moustapha Cissé, Rodolphe Jenatton, Jean-Philippe Vert
2020	A*	`conf`	Supervised Quantile Normalization for Low Rank Matrix Factorization. ICML Marco Cuturi, Olivier Teboul, Jonathan Niles-Weed, Jean-Philippe Vert
2020	J	`jnl`	Supervised Quantile Normalization for Low-rank Matrix Approximation. CoRR Marco Cuturi, Olivier Teboul, Jonathan Niles-Weed, Jean-Philippe Vert
2019	J	`jnl`	ASNI: Adaptive Structured Noise Injection for shallow and deep neural networks. CoRR Beyrem Khalfaoui, Joseph Boyd, Jean-Philippe Vert
2019	J	`jnl`	Continuous Embeddings of DNA Sequencing Reads and Application to Metagenomics. J. Comput. Biol. Romain Menegaux, Jean-Philippe Vert
2019	J	`jnl`	Deep multi-class learning from label proportions. CoRR Gabriel Dulac-Arnold, Neil Zeghidour, Marco Cuturi, Lucas Beyer, Jean-Philippe Vert
2019	J	`jnl`	Differentiable Deep Clustering with Cluster Size Constraints. CoRR Aude Genevay, Gabriel Dulac-Arnold, Jean-Philippe Vert
2019	A*	`conf`	Differentiable Ranking and Sorting using Optimal Transport. NeurIPS Marco Cuturi, Olivier Teboul, Jean-Philippe Vert
2019	J	`jnl`	Differentiable Sorting using Optimal Transport: The Sinkhorn CDF and Quantile Operator. CoRR Marco Cuturi, Olivier Teboul, Jean-Philippe Vert
2019	C	`conf`	Inferring Diploid 3D Chromatin Structures from Hi-C Data. WABI Alexandra Gesine Cauer, Gürkan Yardimci, Jean-Philippe Vert, Nelle Varoquaux, William Stafford Noble
2019	C	`conf`	Jointly Embedding Multiple Single-Cell Omics Measurements. WABI Jie Liu, Yuanhao Huang, Ritambhara Singh, Jean-Philippe Vert, William Stafford Noble
2019	J	`jnl`	LOTUS: A single- and multitask machine learning algorithm for the prediction of cancer driver genes. PLoS Comput. Biol. Olivier Collier, Véronique Stoven, Jean-Philippe Vert
2019	A*	`conf`	kernelPSI: a Post-Selection Inference Framework for Nonlinear Variable Selection. ICML Lotfi Slim, Clément Chatelain, Chloé-Agathe Azencott, Jean-Philippe Vert
2018	J	`jnl`	DropLasso: A robust variant of Lasso for single cell RNA-seq data. CoRR Beyrem Khalfaoui, Jean-Philippe Vert
2018	J	`jnl`	Effective normalization for copy number variation in Hi-C data. BMC Bioinform. Nicolas Servant, Nelle Varoquaux, Edith Heard, Emmanuel Barillot, Jean-Philippe Vert
2018	J	`jnl`	Improving prediction of heterodimeric protein complexes using combination with pairwise kernel. BMC Bioinform. Peiying Ruan, Morihiro Hayashida, Tatsuya Akutsu, Jean-Philippe Vert
2018	A*	`conf`	Relating Leverage Scores and Density using Regularized Christoffel Functions. NeurIPS Edouard Pauwels, Francis R. Bach, Jean-Philippe Vert
2018	J	`jnl`	Relating Leverage Scores and Density using Regularized Christoffel Functions. CoRR Edouard Pauwels, Francis R. Bach, Jean-Philippe Vert
2018	J	`jnl`	The Kendall and Mallows Kernels for Permutations. IEEE Trans. Pattern Anal. Mach. Intell. Yunlong Jiao, Jean-Philippe Vert
2018	A*	`conf`	The Weighted Kendall and High-order Kernels for Permutations. ICML Yunlong Jiao, Jean-Philippe Vert
2018	J	`jnl`	The Weighted Kendall and High-order Kernels for Permutations. CoRR Yunlong Jiao, Jean-Philippe Vert
2018	A*	`conf`	WHInter: A Working set algorithm for High-dimensional sparse second order Interaction models. ICML Marine Le Morvan, Jean-Philippe Vert
2018	J	`jnl`	WHInter: A Working set algorithm for High-dimensional sparse second order Interaction models. CoRR Marine Le Morvan, Jean-Philippe Vert
2017	J	`jnl`	NetNorM: Capturing cancer-relevant information in somatic exome mutation data with gene networks for cancer stratification and prognosis. PLoS Comput. Biol. Marine Le Morvan, Andrei Yu. Zinovyev, Jean-Philippe Vert
2017	J	`jnl`	Supervised Quantile Normalisation. CoRR Marine Le Morvan, Jean-Philippe Vert
2016	J	`jnl`	Large-scale machine learning for metagenomics sequence classification. Bioinform. Kevin Vervier, Pierre Mahé, Maud Tournoud, Jean-Baptiste Veyrieras, Jean-Philippe Vert
2015	J	`jnl`	A convex formulation for joint RNA isoform detection and quantification from multiple RNA-seq samples. BMC Bioinform. Elsa Bernard, Laurent Jacob, Julien Mairal, Eric Viara, Jean-Philippe Vert
2015	J	`jnl`	A generic methodological framework for studying single cell motility in high-throughput time-lapse data. Bioinform. Alice Schoenauer Sebag, Sandra Plancade, Céline Raulet-Tomkiewicz, Robert Barouki, Jean-Philippe Vert, Thomas Walter
2015	J	`jnl`	Benchmark of structured machine learning methods for microbial identification from mass-spectrometry data. CoRR Kevin Vervier, Pierre Mahé, Jean-Baptiste Veyrieras, Jean-Philippe Vert
2015	—	`conf`	Infering an ontology of single cell motions from high-throughput microscopy data. ISBI Alice Schoenauer Sebag, Sandra Plancade, Céline Raulet-Tomkiewicz, Robert Barouki, Jean-Philippe Vert, Thomas Walter
2015	J	`jnl`	Large-scale Machine Learning for Metagenomics Sequence Classification. CoRR Kevin Vervier, Pierre Mahé, Maud Tournoud, Jean-Baptiste Veyrieras, Jean-Philippe Vert
2015	A*	`conf`	The Kendall and Mallows Kernels for Permutations. ICML Yunlong Jiao, Jean-Philippe Vert
2014	J	`jnl`	A Bayesian active learning strategy for sequential experimental design in systems biology. BMC Syst. Biol. Edouard Pauwels, Christian Lajaunie, Jean-Philippe Vert
2014	J	`jnl`	A bagging SVM to learn from positive and unlabeled examples. Pattern Recognit. Lett. Fantine Mordelet, Jean-Philippe Vert
2014	J	`jnl`	A statistical approach for inferring the 3D structure of the genome. Bioinform. Nelle Varoquaux, Ferhat Ay, William Stafford Noble, Jean-Philippe Vert
2014	J	`jnl`	Efficient RNA isoform identification and quantification from RNA-Seq data with network flows. Bioinform. Elsa Bernard, Laurent Jacob, Julien Mairal, Jean-Philippe Vert
2014	—	`conf`	On Learning Matrices with Orthogonal Columns or Disjoint Supports. ECML/PKDD (3) Kevin Vervier, Pierre Mahé, Alexandre d'Aspremont, Jean-Baptiste Veyrieras, Jean-Philippe Vert
2014	J	`jnl`	SegAnnDB: interactive Web-based genomic segmentation. Bioinform. Toby Dylan Hocking, Valentina Boeva, Guillem Rigaill, Gudrun Schleiermacher, Isabelle Janoueix-Lerosey, Olivier Delattre, Wilfrid Richer, Franck Bourdeaut, Miyuki Suguro, Masao Seto, Francis R. Bach, Jean-Philippe Vert
2014	—	`conf`	Tight convex relaxations for sparse matrix factorization. NIPS Emile Richard, Guillaume Obozinski, Jean-Philippe Vert
2014	J	`jnl`	Tight convex relaxations for sparse matrix factorization. CoRR Emile Richard, Guillaume Obozinski, Jean-Philippe Vert
2013	J	`jnl`	Flux balance impact degree: a new definition of impact degree to properly treat reversible reactions in metabolic networks. Bioinform. Yang Zhao, Takeyuki Tamura, Tatsuya Akutsu, Jean-Philippe Vert
2013	—	`conf`	Intersecting singularities for multi-structured estimation. ICML (3) Emile Richard, Francis R. Bach, Jean-Philippe Vert
2013	—	`conf`	Learning Sparse Penalties for Change-point Detection using Max Margin Interval Regression. ICML (3) Toby Hocking, Guillem Rigaill, Jean-Philippe Vert, Francis R. Bach
2013	J	`jnl`	Learning smoothing models of copy number profiles using breakpoint annotations. BMC Bioinform. Toby Dylan Hocking, Gudrun Schleiermacher, Isabelle Janoueix-Lerosey, Valentina Boeva, Julie Cappo, Olivier Delattre, Francis R. Bach, Jean-Philippe Vert
2012	J	`jnl`	TIGRESS: Trustful Inference of Gene REgulation using Stability Selection. BMC Syst. Biol. Anne-Claire Haury, Fantine Mordelet, Paola Vera-Licona, Jean-Philippe Vert
2011	A*	`conf`	Clusterpath: an Algorithm for Clustering using Convex Fusion Penalties. ICML Toby Hocking, Jean-Philippe Vert, Francis R. Bach, Armand Joulin
2011	J	`jnl`	Control-free calling of copy number alterations in deep-sequencing data using GC-content normalization. Bioinform. Valentina Boeva, Andrei Yu. Zinovyev, Kevin Bleakley, Jean-Philippe Vert, Isabelle Janoueix-Lerosey, Olivier Delattre, Emmanuel Barillot
2011	—	`conf`	Gradient-based musical feature extraction based on scale-invariant feature transform. EUSIPCO Tomoko Matsui, Masataka Goto, Jean-Philippe Vert, Yuji Uchiyama
2011	J	`jnl`	Group Lasso with Overlaps: the Latent Group Lasso approach CoRR Guillaume Obozinski, Laurent Jacob, Jean-Philippe Vert
2011	J	`jnl`	ProDiGe: PRioritization Of Disease Genes with multitask machine learning from positive and unlabeled examples. BMC Bioinform. Fantine Mordelet, Jean-Philippe Vert
2010	J	`jnl`	A new protein binding pocket similarity measure based on comparison of clouds of atoms in 3D: application to ligand prediction. BMC Bioinform. Brice Hoffmann, Mikhail Zaslavskiy, Jean-Philippe Vert, Véronique Stoven
2010	—	`conf`	Fast detection of multiple change-points shared by many signals using group LARS. NIPS Jean-Philippe Vert, Kevin Bleakley
2010	J	`jnl`	Large-scale prediction of protein-protein interactions from structures. BMC Bioinform. Martial Hue, Michael Riffle, Jean-Philippe Vert, William Stafford Noble
2010	—	`conf`	Many-to-Many Graph Matching: A Continuous Relaxation Approach. ECML/PKDD (3) Mikhail Zaslavskiy, Francis R. Bach, Jean-Philippe Vert
2010	J	`jnl`	Many-to-Many Graph Matching: a Continuous Relaxation Approach CoRR Mikhail Zaslavskiy, Francis R. Bach, Jean-Philippe Vert
2010	A*	`conf`	On learning with kernels for unordered pairs. ICML Martial Hue, Jean-Philippe Vert
2009	J	`jnl`	A New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization. J. Mach. Learn. Res. Jacob D. Abernethy, Francis R. Bach, Theodoros Evgeniou, Jean-Philippe Vert
2009	J	`jnl`	A Path Following Algorithm for the Graph Matching Problem. IEEE Trans. Pattern Anal. Mach. Intell. Mikhail Zaslavskiy, Francis R. Bach, Jean-Philippe Vert
2009	J	`jnl`	Global alignment of protein-protein interaction networks by graph matching methods. Bioinform. Mikhail Zaslavskiy, Francis R. Bach, Jean-Philippe Vert
2009	J	`jnl`	Graph kernels based on tree patterns for molecules. Mach. Learn. Pierre Mahé, Jean-Philippe Vert
2009	A*	`conf`	Group lasso with overlap and graph lasso. ICML Laurent Jacob, Guillaume Obozinski, Jean-Philippe Vert
2009	Misc	`conf`	High-level feature extraction using SVM with walk-based graph kernel. ICASSP Jean-Philippe Vert, Tomoko Matsui, Shin'ichi Satoh, Yuji Uchiyama
2009	—	`conf`	White Functionals for Anomaly Detection in Dynamical Systems. NIPS Marco Cuturi, Jean-Philippe Vert, Alexandre d'Aspremont
2008	J	`jnl`	A New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization CoRR Francis R. Bach, Jacob D. Abernethy, Jean-Philippe Vert, Theodoros Evgeniou
2008	C	`conf`	A Path Following Algorithm for Graph Matching. ICISP Mikhail Zaslavskiy, Francis R. Bach, Jean-Philippe Vert
2008	A	`conf`	Classification of arrayCGH data using fused SVM. ISMB Franck Rapaport, Emmanuel Barillot, Jean-Philippe Vert
2008	J	`jnl`	Clustered Multi-Task Learning: A Convex Formulation CoRR Laurent Jacob, Francis R. Bach, Jean-Philippe Vert
2008	—	`conf`	Clustered Multi-Task Learning: A Convex Formulation. NIPS Laurent Jacob, Francis R. Bach, Jean-Philippe Vert
2008	J	`jnl`	Efficient peptide-MHC-I binding prediction for alleles with few known binders. Bioinform. Laurent Jacob, Jean-Philippe Vert
2008	J	`jnl`	Eliciting Consumer Preferences Using Robust Adaptive Choice Questionnaires. IEEE Trans. Knowl. Data Eng. Jacob D. Abernethy, Theodoros Evgeniou, Olivier Toubia, Jean-Philippe Vert
2008	—	`conf`	ISM TRECVID2008 High-level Feature Extraction. TRECVID Tomoko Matsui, Jean-Philippe Vert, Shin'ichi Satoh, Yuji Uchiyama
2008	J	`jnl`	Path following algorithm for the graph matching problem CoRR Mikhail Zaslavskiy, Francis R. Bach, Jean-Philippe Vert
2008	J	`jnl`	Protein-ligand interaction prediction: an improved chemogenomics approach. Bioinform. Laurent Jacob, Jean-Philippe Vert
2008	C	`conf`	SIRENE: supervised inference of regulatory networks. ECCB Fantine Mordelet, Jean-Philippe Vert
2008	J	`jnl`	The optimal assignment kernel is not positive definite CoRR Jean-Philippe Vert
2008	J	`jnl`	Virtual screening of GPCRs: An BMC Bioinform. Laurent Jacob, Brice Hoffmann, Véronique Stoven, Jean-Philippe Vert
2007	—	`conf`	A Kernel for Time Series Based on Global Alignments. ICASSP (2) Marco Cuturi, Jean-Philippe Vert, Øystein Birkenes, Tomoko Matsui
2007	J	`jnl`	A new pairwise kernel for biological network inference with support vector machines. BMC Bioinform. Jean-Philippe Vert, Jian Qiu, William Stafford Noble
2007	J	`jnl`	A structural alignment kernel for protein structures. Bioinform. Jian Qiu, Martial Hue, Asa Ben-Hur, Jean-Philippe Vert, William Stafford Noble
2007	J	`jnl`	Classification of microarray data using gene networks. BMC Bioinform. Franck Rapaport, Andrei Yu. Zinovyev, Marie Dutreix, Emmanuel Barillot, Jean-Philippe Vert
2007	J	`jnl`	Glycan classification with tree kernels. Bioinform. Yoshihiro Yamanishi, Francis R. Bach, Jean-Philippe Vert
2007	—	`conf`	Supervised reconstruction of biological networks with local models. ISMB/ECCB (Supplement of Bioinformatics) Kevin Bleakley, Gérard Biau, Jean-Philippe Vert
2007	J	`jnl`	Virtual screening with support vector machines and structure kernels CoRR Pierre Mahé, Jean-Philippe Vert
2006	J	`jnl`	A kernel for time series based on global alignments CoRR Marco Cuturi, Jean-Philippe Vert, Øystein Birkenes, Tomoko Matsui
2006	J	`jnl`	An accurate and interpretable model for siRNA efficacy prediction. BMC Bioinform. Jean-Philippe Vert, Nicolas Foveau, Christian Lajaunie, Yves Vandenbrouck
2006	—	`conf`	Classification of Biological Sequences with Kernel Methods. ICGI Jean-Philippe Vert
2006	J	`jnl`	Consistency and Convergence Rates of One-Class SVMs and Related Algorithms. J. Mach. Learn. Res. Régis Vert, Jean-Philippe Vert
2006	J	`jnl`	Low-rank matrix factorization with attributes CoRR Jacob D. Abernethy, Francis R. Bach, Theodoros Evgeniou, Jean-Philippe Vert
2006	J	`jnl`	Metric learning pairwise kernel for graph inference CoRR Jean-Philippe Vert, Jian Qiu, William Stafford Noble
2006	J	`jnl`	Optimizing amino acid substitution matrices with a local alignment kernel. BMC Bioinform. Hiroto Saigo, Jean-Philippe Vert, Tatsuya Akutsu
2006	J	`jnl`	The Pharmacophore Kernel for Virtual Screening with Support Vector Machines. J. Chem. Inf. Model. Pierre Mahé, Liva Ralaivola, Véronique Stoven, Jean-Philippe Vert
2005	—	`conf`	Consistency of one-class SVM and related algorithms. NIPS Régis Vert, Jean-Philippe Vert
2005	J	`jnl`	Graph Kernels for Molecular Structure-Activity Relationship Analysis with Support Vector Machines. J. Chem. Inf. Model. Pierre Mahé, Nobuhisa Ueda, Tatsuya Akutsu, Jean-Luc Perret, Jean-Philippe Vert
2005	—	`conf`	Kernels for gene regulatory regions. NIPS Jean-Philippe Vert, Robert E. Thurman, William Stafford Noble
2005	J	`jnl`	Semigroup Kernels on Measures. J. Mach. Learn. Res. Marco Cuturi, Kenji Fukumizu, Jean-Philippe Vert
2005	—	`conf`	Supervised enzyme network inference from the integration of genomic data and chemical information. ISMB (Supplement of Bioinformatics) Yoshihiro Yamanishi, Jean-Philippe Vert, Minoru Kanehisa
2005	J	`jnl`	The context-tree kernel for strings. Neural Networks Marco Cuturi, Jean-Philippe Vert
2004	B	`conf`	A mutual information kernel for sequences. IJCNN Marco Cuturi, Jean-Philippe Vert
2004	A*	`conf`	Extensions of marginalized graph kernels. ICML Pierre Mahé, Nobuhisa Ueda, Tatsuya Akutsu, Jean-Luc Perret, Jean-Philippe Vert
2004	J	`jnl`	Protein homology detection using string alignment kernels. Bioinform. Hiroto Saigo, Jean-Philippe Vert, Nobuhisa Ueda, Tatsuya Akutsu
2004	—	`conf`	Protein network inference from multiple genomic data: a supervised approach. ISMB/ECCB (Supplement of Bioinformatics) Yoshihiro Yamanishi, Jean-Philippe Vert, Minoru Kanehisa
2004	—	`conf`	Semigroup Kernels on Finite Sets. NIPS Marco Cuturi, Jean-Philippe Vert
2004	—	`conf`	Supervised Graph Inference. NIPS Jean-Philippe Vert, Yoshihiro Yamanishi
2003	C	`conf`	Extracting active pathways from gene expression data. ECCB Jean-Philippe Vert, Minoru Kanehisa
2003	—	`conf`	Extraction of correlated gene clusters from multiple genomic data by generalized kernel canonical correlation analysis. ISMB (Supplement of Bioinformatics) Yoshihiro Yamanishi, Jean-Philippe Vert, Akihiro Nakaya, Minoru Kanehisa
2002	A	`conf`	A tree kernel to analyse phylogenetic profiles. ISMB Jean-Philippe Vert
2002	—	`conf`	Graph-Driven Feature Extraction From Microarray Data Using Diffusion Kernels and Kernel CCA. NIPS Jean-Philippe Vert, Minoru Kanehisa
2002	Misc	`conf`	Support Vector Machine Prediction of Signal Peptide Cleavage Site Using a New Class of Kernels for Strings. Pacific Symposium on Biocomputing Jean-Philippe Vert
2001	J	`jnl`	Adaptive context trees and text clustering. IEEE Trans. Inf. Theory Jean-Philippe Vert
2001	C	`conf`	Text Categorization Using Adaptive Context Trees. CICLing Jean-Philippe Vert