Publications : NEC

Books

Léon Bottou and Olivier Chapelle and Dennis DeCoste and Jason Weston (editors): Large Scale Kernel Machines. MIT Press (2007) (link)

Ingemar J. Cox and Matt L. Miller and Jeffrey Bloom and Jessica Fridrich and Ton Kalker: Digital watermarking and steganography (second edition). Morgan Kaufmann (2007)

Vapnik, Vladimir: Estimation of Dependences Based on Empirical Data. Springer Verlag (2006)

Lawrence Saul and Yair Weiss and Léon Bottou (editors): Advances in Neural Information Processing Systems 17. MIT Press (2005) (link)

Ingemar J. Cox and Matt L. Miller and Jeffrey Bloom: Digital watermarking. Morgan Kaufmann (2002)

Articles and Conference Papers

Y. Bengio, J. Louradour and Ronan Collobert and Jason Weston: Curriculum Learning. Proceedings of the Twenty-sixth International Conference on Machine Learning (ICML 2009) (2009) (link)

Bing Bai and Jason Weston and Ronan Collobert and David Grangier: Supervised Semantic Indexing. Proceedings of the 31st European Conference on Information Retrieval (ECIR09) (2009) (link)

Hossein Mobahi and Ronan Collobert and Jason Weston: Deep Learning from Temporal Coherence in Video. Proceedings of the Twenty-sixth International Conference on Machine Learning (ICML 2009) (2009) (link)

Marina Spivak and Jason Weston and Leon Bottou, L. Kall, W. Stafford Noble: Improvements to the Percolator algorithm for peptide identification from shotgun proteomics data sets. Journal of Proteome Research (2009) (link)

Léon Bottou and Olivier Bousquet: The Tradeoffs of Large Scale Learning. Advances in Neural Information Processing Systems (2008) (link)

Collobert, Ronan and Weston, Jason: A Unified Architecture for Natural Language Processing: Deep Neural Networks with Multitask Learning. Proceedings of the Twenty-fifth International Conference on Machine Learning (ICML 2008) (2008) (link)

Weston, Jason: Large Scale Semi-Supervised Learning. Proceedings of NATO Advanced Study Institute on Mining Massive Data Sets for Security (2008) (link)

Antoine Bordes and Nicolas Usunier and Léon Bottou: Sequence Labelling SVMs Trained in One Pass. Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2008 (2008) (link)

Graf, Hans Peter and Cadambi, Srihari and Durdanovic, Igor and Jakkula, Venkata and Sankardadass, Murugan and Cosatto, Eric and Chakradhar, Srimat: A Massively Parallel Digital Learning Processor. Advances in Neural Information Processing Systems (2008)

Léon Bottou and Olivier Bousquet: Learning Using Large Datasets. Mining Massive DataSets for Security (2008) (link)

Ratle, Frederic and Weston, Jason and Miller, Matthew: Large-scale clustering through functional embedding. Machine Learning: ECML 2008 (2008) (link)

Melvin, Iain and Weston, Jason and Leslie, Christina and Noble, William Stafford: RANKPROP: a web server for protein remote homology detection. Bioinformatics (2008) (link)

Cosatto, Eric and Miller, Matt and Graf, Hans Peter and Meyer, John: Grading Nuclear Pleomorphism on Histological Micrographs. Proc. Int. Conf. Pattern Recognition (2008)

R. El-Yaniv and D. Pechyony and V. Vapnik: Large margin vs. large volume in transductive learning. Machine Learning Journal (3) (2008)

Malon, Christopher and Miller, Matt and Burger, Christopher and Cosatto, Eric and Graf, Hans Peter: Identifying Histological Elements with Convolutional Neural Networks. Proc. ACM CSTST 2008 Workshop on Computational Intelligence in Medical Imaging (2008)

Weston, Jason and Ratle, Frédéric and Collobert, Ronan: Deep Learning via Semi-Supervised Embedding. Proceedings of the Twenty-fifth International Conference on Machine Learning (ICML 2008) (2008) (link)

Karlen, Michael and Weston, Jason and Erkan, Ayse and Collobert, Ronan: Large Scale Manifold Transduction. Proceedings of the Twenty-fifth International Conference on Machine Learning (ICML 2008) (2008) (link)

Melvin, Iain and Weston, Jason and Leslie, Christina and Noble, William Stafford: Combining classifiers for improved classification of proteins from sequence or structure. BMC Bioinformatics (2008) (link)

Durdanovic, I. and Cosatto, E. and Graf, H.P.: Large Scale Parallel SVM Implementation. Large Scale Kernel Machines (2007) (link)

Weston, Jason and BakIr, Goekhan and Bousquet, Olivier and Schölkopf, Bernhard and Mann, T. and Noble, William Stafford: Joint Kernel Maps. Predicting Structured Data (2007) (link)

Melvin, Iain and Ie, Eugene and Weston, Jason and Noble, William Stafford and Leslie, Christina: Multi-class protein classification using adaptive codes. Journal of Machine Learning Research (2007)

BakIr, Gökhan and Schölkopf, Bernhard and Weston, Jason: On the pre-image problem in kernel methods. Kernel Methods in Bioengineering, Signal and Image Processing (2007) (link)

Cortes, Corinna and Mohri, Mehryar and Weston, Jason: A General Regression Framework for Learning String-to-String Mappings. Predicting Structured Data (2007) (link)

Lukas Kall and Jesse Canterbury and Jason Weston and William S. Noble and Michael J. MacCoss: Semi-Supervised Learning for Peptide Identification from Shotgun Proteomics Datasets. Nature Methods (2007) (link)

Akshay Vashist and Casimir A. Kulikowski and Ilya B. Muchnik: Ortholog Clustering on a Multipartite Graph. IEEE/ACM Trans. Comput. Biology Bioinform. (1) (2007)

Sonnenburg, Sören and Braun, Mikio L. and Ong, Cheng Soon and Bengio, Samy and Bottou, Léon and Holmes, Geoffrey and LeCun, Yann and Müller, Klaus-Robert and Pereira, Fernando and Rasmussen, Carl Edward, Rätsch, Gunnar and Schölkopf, Bernhard and Smola, Alexander and Vincent, Pascal and Weston, Jason and Williamson Robert: The Need for Open Source Software in Machine Learning. The Journal of Machine Learning Research (2007) (link)

Seyda Ertekin and Jian Huang and Léon Bottou and C. Lee Giles: Learning on the Border: Active Learning in Imbalanced Data Classification. Proceedings of the 16th Conference on Information and Knowledge Management, CIKM2007 (2007) (link)

Collobert, Ronan and Weston, Jason: Fast Semantic Extraction Using a Novel Neural Network Architecture. 45th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference. Accepted. (2007) (link)

Bottou, Léon and Lin, Chih-Jen: Support Vector Machine Solvers. Large Scale Kernel Machines (2007) (link)

Antoine Bordes and Léon Bottou and Patrick Gallinari and Jason Weston: Solving MultiClass Support Vector Machines with LaRank. Proceedings of the 24th International Machine Learning Conference (2007) (link)

Collobert, Ronan and Sinz, Fabian and Weston, Jason and Bottou, Léon: Trading Convexity for Scalability. Large Scale Kernel Machines (2007) (link)

Loosli, Gaëlle and Canu, Stéphane and Bottou, Léon: Training Invariant Support Vector Machines using Selective Sampling. Large Scale Kernel Machines (2007) (link)

Weston, Jason and Leslie, Christina and Ie, Eugene and Zhou, Dengyong and Elisseeff, Andre and Noble, William Stafford: Semi-supervised protein classification using cluster kernels. Semi-Supervised Learning (2006) (link)

Vapnik, Vladimir: Transductive Inference and Semi-Supervised Learning. Semi-Supervised Learning (2006)

Melvin, Iain and Ie, Eugene and Kuang, Rui and Weston, Jason and Noble, William and Leslie, Christina: SVM-fold : a tool for discriminative multi-class protein fold and superfamily recognition. BMC Bioinformatics (2006) (link)

Weston, Jason and Collobert, Ronan and Sinz, Fabian and Bottou, Léon and Vapnik, Vladimir: Inference with the Universum. Proceedings of the Twenty-third International Conference on Machine Learning (ICML 2006) (2006) (link)

LeCun, Y. and Muller, U. and Ben, J. and Cosatto, E. and Flepp, B.: Off-road obstacle avoidance through end-to-end learning. Advances in neural information processing systems (2006)

Lal, T. N. and Chapelle, Olivier and Weston, Jason and Elisseeff, Andre: Embedded Methods. Feature extraction, foundations and Applications (2006) (link)

Collobert, Ronan and Weston, Jason and Bottou, Léon: Trading Convexity for Scalability. Proceedings of the Twenty-third International Conference on Machine Learning (ICML 2006) (2006) (link)

Collobert, Ronan and Sinz, Fabian and Weston, Jason and Bottou, Léon: Large Scale Transductive SVMs. Journal of Machine Learning Research (2006) (link)

Bottou, Léon and LeCun, Yann: On-line Learning for Very Large Datasets. Applied Stochastic Models in Business and Industry (2) (2005) (link)

Noble, William Stafford and Kuang, Rui and Leslie, Christina and Weston, Jason: Identifying remote protein homologs by network propagation. FEBS Journal (2005) (link)

Bordes, Antoine and Ertekin, Seyda and Weston, Jason and Bottou, Léon: Fast Kernel Classifiers with Online and Active Learning. Journal of Machine Learning Research (2005) (link)

Weston, Jason and Leslie, Christina and Ie, Eugene and Zhou, Dengyong and Elisseeff, Andre and Noble, William Stafford: Semi-supervised protein classification using cluster kernels. Bioinformatics (15) (2005) (link)

Kuang, Rui and Weston, Jason and Noble, William Stafford and Leslie, Christina: Motif-based protein ranking by network propagation. Bioinformatics (19) (2005) (link)

Bottou, Léon and LeCun, Yann: Graph Transformer Networks for Image Recognition. Bulletin of the International Statistical Institute (ISI) (2005) (link)

Bordes, Antoine and Bottou, Léon: The Huller: a simple and efficient online SVM. Machine Learning: ECML 2005 (2005) (link)

Ning, Feng and Delhomme, Damien and LeCun, Yann and Piano, Fabio and Bottou, Léon and Barbano, Paolo Emilio: Toward Automatic Phenotyping of Developing Embryos from Videos. IEEE Transactions in Image Processing (9) (2005) (link)

Weston, Jason and Bordes, Antoine and Bottou, Léon: Online (and Offline) on an Even Tighter Budget. Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, January 2005, Barbados (2005) (link)

Cortes, Corinna and Mohri, Mehryar and Weston, Jason: A General Regression Technique for Learning Transductions. Proceedings of the Twenty-second International Conference on Machine Learning (ICML 2005) (2005) (link)

Weston, Jason and Kuang, Rui and Leslie, Christina and Noble, William: Protein Ranking by Semi-Supervised Network Propagation. BMC Bioinformatics Special Issue (2005) (link)

Ie, Eugene and Weston, Jason and Noble, William Stafford and Leslie, Christina: Multi-class protein fold recognition using adaptive codes. Proceedings of the Twenty-second International Conference on Machine Learning (ICML 2005) (2005) (link)

BakIr, Gökhan and Bottou, Léon and Weston, Jason: Breaking SVM Complexity with Cross-Training. Advances in Neural Information Processing Systems (2005) (link)

Graf, Hans Peter and Cosatto, Eric and Bottou, Léon and Durdanovic, Igor and Vapnik, Vladimir: Parallel Support Vector Machines: The Cascade SVM. Advances in Neural Information Processing Systems (2005) (link)

Weston, Jason and Schölkopf, Bernhard and Bousquet, Olivier: Joint Kernel Maps. Proceedings of the 8th International Work-Conference on Artificial Neural Networks (Computational Intelligence and Bioinspired System) (2005) (link)

Weston, Jason and Elisseeff, Andre and Zhou, Dengyong and Leslie, Christina and W. S. Noble: Protein ranking: from local to global structure in the protein similarity network. Proceedings of the National Academy of Science (17) (2004) (link)

Osadchy, M. and Miller, Matthew and LeCun, Y.: Synergistic Face Detection and Pose Estimation with Energy-Based Models. Advances in Neural Information Processing Systems (NIPS 2004) (2004)

LeCun, Yann and Bottou, Léon and HuangFu, Jie: Learning Methods for Generic Object Recognition with Invariance to Pose and Lighting. Proc. of Computer Vision and Pattern Recognition (2004) (link)

Bottou, Léon and LeCun, Yann: Large Scale Online Learning. Advances in Neural Information Processing Systems 16 (2004) (link)

Weston, Jason and Chapelle, Olivier and Elisseeff, Andre and Schölkopf, Bernhard and Vapnik, Vladimir: Kernel Dependency Estimation.. Advances in Neural Information Processing Systems (2003) (link)

Antoine Bordes and Léon Botto: Solving MultiClass Support Vector Machines with LaRank. Proceedings of the 24th International Machine Learning Conference (00)

Bi, J. and Vapnik, Vladimir: Learning with rigorous support vector machines. Proceedings of the 16th Annual Conference on Learning Theory

Tech Reports

Weston, Jason and BakIr, Gökhan: Fast Binary and Multi-Output Reduced Set Selection. Max-Planck-Institute for Biological Cybernetics (132) (2004) (link)

Weston, Jason and Schölkopf, Bernhard and Bousquet, Olivier and Mann and Noble: Joint Kernel Maps. Max-Planck-Institute for Biological Cybernetics (131) (2004) (link)

Weston, Jason and Christina Leslie and Andre Elisseeff and William Stafford Noble: Machine Learning approaches to protein ranking: discriminative, semi-supervised, scalable algorithms. Max-Planck-Institute for Biological Cybernetics (111) (2003)

Patents

Graf, H.P. and Cosatto, E. and Durdanovic, I. and Vladimir, V.: Spread Kernel Support Vector Machine. USA (7,406,450) (July 29, 2008)