Yves Grandvalet

According to our database1, Yves Grandvalet authored at least 53 papers between 1995 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2018
Explicit Inductive Bias for Transfer Learning with Convolutional Networks.
CoRR, 2018

Model selection for Gaussian latent block clustering with the integrated classification likelihood.
Adv. Data Analysis and Classification, 2018

A Simple Weight Recall for Semantic Segmentation: Application to Urban Scenes.
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

Explicit Inductive Bias for Transfer Learning with Convolutional Networks.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
Beyond support in two-stage variable selection.
Statistics and Computing, 2017

2016
Combining Two and Three-Way Embedding Models for Link Prediction in Knowledge Bases.
J. Artif. Intell. Res., 2016

A Coverage-Based Approach to Recommendation Diversity On Similarity Graph.
Proceedings of the 10th ACM Conference on Recommender Systems, 2016

2015
Theory of Optimizing Pseudolinear Performance Measures: Application to F-measure.
CoRR, 2015

Combining Two And Three-Way Embeddings Models for Link Prediction in Knowledge Bases.
CoRR, 2015

Sparse conditional logistic regression for analyzing large-scale matched data from epidemiological studies: a simple algorithm.
BMC Bioinformatics, 2015

Significance testing for variable selection in high-dimension.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2015

2014
Optimizing F-Measures by Cost-Sensitive Classification.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

KEOPS: Kernels organized into pyramids.
Proceedings of the IEEE International Conference on Acoustics, 2014

Fast Recursive Multi-class Classification of Pairs of Text Entities for Biomedical Event Extraction.
Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, 2014

2013
High-Dimensional Sparse Matched Case-Control and Case-Crossover Data: A Review of Recent Works, Description of an R Tool and an Illustration of the Use in Epidemiological Studies.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2013

Biomedical Event Extraction by Multi-class Classification of Pairs of Text Entities.
Proceedings of the BioNLP Shared Task 2013 Workshop, Sofia, 2013

2012
An Efficient Approach to Sparse Linear Discriminant Analysis.
Proceedings of the 29th International Conference on Machine Learning, 2012

An Approximation of the Integrated Classification Likelihood for the Latent Block Model.
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

2011
Inferring multiple graphical structures.
Statistics and Computing, 2011

2010
Composite kernel learning.
Machine Learning, 2010

2009
Predictive models for music.
Connect. Sci., 2009

2008
Support Vector Machines with a Reject Option.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Composite kernel learning.
Proceedings of the Machine Learning, 2008

A distance model for rhythms.
Proceedings of the Machine Learning, 2008

2007
Parsimonious additive models.
Computational Statistics & Data Analysis, 2007

Hierarchical Penalization.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

More efficiency in multiple kernel learning.
Proceedings of the Machine Learning, 2007

Sparse probabilistic classifiers.
Proceedings of the Machine Learning, 2007

2006
Head and Facial Action Tracking: Comparison of Two Robust Approaches.
Proceedings of the Seventh IEEE International Conference on Automatic Face and Gesture Recognition (FGR 2006), 2006

2005
Discrimination par modèles additifs parcimonieux.
Revue d'Intelligence Artificielle, 2005

A Probabilistic Interpretation of SVMs with an Application to Unbalanced Classification.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Semi-supervised Learning by Entropy Minimization.
Proceedings of the Actes de CAP 05, Conférence francophone sur l'apprentissage automatique, 2005

2004
Bagging Equalizes Influence.
Machine Learning, 2004

No Unbiased Estimator of the Variance of K-Fold Cross-Validation.
Journal of Machine Learning Research, 2004

Recycling experiments for sludge monitoring in waste water treatment.
Proceedings of the IEEE International Conference on Systems, 2004

Semi-supervised Learning by Entropy Minimization.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

2003
Addendum to resample and combine: an approach to improving uncertainty representation in evidential pattern classification.
Information Fusion, 2003

Resample and combine: an approach to improving uncertainty representation in evidential pattern classification.
Information Fusion, 2003

No Unbiased Estimator of the Variance of K-Fold Cross-Validation.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Regularization Methods for Additive Models.
Proceedings of the Advances in Intelligent Data Analysis V, 2003

2002
Adaptive Scaling for Feature Selection in SVMs.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

2001
Injection de bruit adaptative pour la détermination de variables pertinentes.
Revue d'Intelligence Artificielle, 2001

Semi-supervised MarginBoost.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Boosting Mixture Models for Semi-supervised Learning.
Proceedings of the Artificial Neural Networks, 2001

Bagging Can Stabilize without Reducing Variance.
Proceedings of the Artificial Neural Networks, 2001

2000
Anisotropic noise injection for input variables relevance determination.
IEEE Trans. Neural Netw. Learning Syst., 2000

Bagging Down-Weights Leverage Points.
IJCNN (4), 2000

1998
Outcomes of the Equivalence of Adaptive Ridge with Least Absolute Shrinkage.
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

1997
Noise Injection: Theoretical Prospects.
Neural Computation, 1997

Wavelet Frames Based Estimator.
Proceedings of the Artificial Neural Networks, 1997

Adaptive Noise Injection for Input Variables Relevance Determination.
Proceedings of the Artificial Neural Networks, 1997

1995
Comments on "Noise injection into inputs in back propagation learning".
IEEE Trans. Systems, Man, and Cybernetics, 1995

Control of complexity in learning with perturbed inputs.
Proceedings of the ESANN 1995, 1995


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