Yves Grandvalet

70 papers A* 6A 3B 3C 7Misc 1Journal 29Unranked 20

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Perception Metrics for Intelligent Vehicles: An Application-Focused Evaluation. ITSC Galia Fabiola Cornejo Urquieta, Julien Moreau, Yves Grandvalet, Federico Camarda, Javier Ibañez-Guzmán
2024	—	`conf`	Harnessing Superclasses for Learning from Hierarchical Databases. ECML/PKDD (4) Nicolas Urbani, Sylvain Rousseau, Yves Grandvalet, Leonardo Tanzi
2024	J	`jnl`	Harnessing Superclasses for Learning from Hierarchical Databases. CoRR Nicolas Urbani, Sylvain Rousseau, Yves Grandvalet, Leonardo Tanzi
2023	J	`jnl`	A Review of Benchmarks for Visual Defect Detection in the Manufacturing Industry. CoRR Philippe Carvalho, Alexandre Durupt, Yves Grandvalet
2022	J	`jnl`	Learning from missing data with the binary latent block model. Stat. Comput. Gabriel Frisch, Jean-Benoist Léger, Yves Grandvalet
2021	—	`conf`	Co-clustering for Fair Recommendation. PKDD/ECML Workshops (1) Gabriel Frisch, Jean-Benoist Léger, Yves Grandvalet
2021	A	`conf`	Driving among Flatmobiles: Bird-Eye-View occupancy grids from a monocular camera for holistic trajectory planning. WACV Abdelhak Loukkal, Yves Grandvalet, Tom Drummond, You Li
2021	C	`conf`	Stereotype-aware collaborative filtering. FedCSIS Gabriel Frisch, Jean-Benoist Léger, Yves Grandvalet
2020	J	`jnl`	A baseline regularization scheme for transfer learning with convolutional neural networks. Pattern Recognit. Xuhong Li, Yves Grandvalet, Franck Davoine
2020	J	`jnl`	Driving among Flatmobiles: Bird-Eye-View occupancy grids from a monocular camera for holistic trajectory planning. CoRR Abdelhak Loukkal, Yves Grandvalet, Tom Drummond, You Li
2020	J	`jnl`	Learning from missing data with the Latent Block Model. CoRR Gabriel Frisch, Jean-Benoist Léger, Yves Grandvalet
2020	J	`jnl`	Representation Transfer by Optimal Transport. CoRR Xuhong Li, Yves Grandvalet, Rémi Flamary, Nicolas Courty, Dejing Dou
2020	J	`jnl`	Transfer learning in computer vision tasks: Remember where you come from. Image Vis. Comput. Xuhong Li, Yves Grandvalet, Franck Davoine, Jingchun Cheng, Yin Cui, Han Zhang, Serge J. Belongie, Yi-Hsuan Tsai, Ming-Hsuan Yang
2019	—	`conf`	Disparity weighted loss for semantic segmentation of driving scenes. ITSC Abdelhak Loukkal, Yves Grandvalet, You Li
2018	B	`conf`	A Simple Weight Recall for Semantic Segmentation: Application to Urban Scenes. Intelligent Vehicles Symposium Xuhong Li, Franck Davoine, Yves Grandvalet
2018	A*	`conf`	Explicit Inductive Bias for Transfer Learning with Convolutional Networks. ICML Xuhong Li, Yves Grandvalet, Franck Davoine
2018	J	`jnl`	Explicit Inductive Bias for Transfer Learning with Convolutional Networks. CoRR Xuhong Li, Yves Grandvalet, Franck Davoine
2018	C	`conf`	Improving semantic segmentation in urban scenes with a cartographic information. ICARCV Abdelhak Loukkal, Vincent Frémont, Yves Grandvalet, You Li
2018	J	`jnl`	Model selection for Gaussian latent block clustering with the integrated classification likelihood. Adv. Data Anal. Classif. Aurore Lomet, Gérard Govaert, Yves Grandvalet
2017	J	`jnl`	Beyond support in two-stage variable selection. Stat. Comput. Jean-Michel Bécu, Yves Grandvalet, Christophe Ambroise, Cyril Dalmasso
2016	A	`conf`	A Coverage-Based Approach to Recommendation Diversity On Similarity Graph. RecSys Shameem Puthiya Parambath, Nicolas Usunier, Yves Grandvalet
2016	J	`jnl`	Combining Two and Three-Way Embedding Models for Link Prediction in Knowledge Bases. J. Artif. Intell. Res. Alberto García-Durán, Antoine Bordes, Nicolas Usunier, Yves Grandvalet
2015	J	`jnl`	Combining Two And Three-Way Embeddings Models for Link Prediction in Knowledge Bases. CoRR Alberto García-Durán, Antoine Bordes, Nicolas Usunier, Yves Grandvalet
2015	J	`jnl`	Extracting biomedical events from pairs of text entities. BMC Bioinform. Xiao Liu, Antoine Bordes, Yves Grandvalet
2015	C	`conf`	Significance testing for variable selection in high-dimension. CIBCB Jean-Michel Bécu, Christophe Ambroise, Yves Grandvalet, Cyril Dalmasso
2015	J	`jnl`	Sparse conditional logistic regression for analyzing large-scale matched data from epidemiological studies: a simple algorithm. BMC Bioinform. Marta Avalos, Hélène Pouyes, Yves Grandvalet, Ludivine Orriols, Emmanuel Lagarde
2015	J	`jnl`	Theory of Optimizing Pseudolinear Performance Measures: Application to F-measure. CoRR Shameem Ahamed Puthiya Parambath, Nicolas Usunier, Yves Grandvalet
2014	A	`conf`	Fast Recursive Multi-class Classification of Pairs of Text Entities for Biomedical Event Extraction. EACL Xiao Liu, Antoine Bordes, Yves Grandvalet
2014	Misc	`conf`	KEOPS: Kernels organized into pyramids. ICASSP Marie Szafranski, Yves Grandvalet
2014	—	`conf`	Optimizing F-Measures by Cost-Sensitive Classification. NIPS Shameem Puthiya Parambath, Nicolas Usunier, Yves Grandvalet
2013	—	`conf`	Biomedical Event Extraction by Multi-class Classification of Pairs of Text Entities. BioNLP@ACL (Shared Task) Xiao Liu, Antoine Bordes, Yves Grandvalet
2013	—	`conf`	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. CIBB Marta Avalos, Yves Grandvalet, Hélène Pouyes, Ludivine Orriols, Emmanuel Lagarde
2012	—	`conf`	An Approximation of the Integrated Classification Likelihood for the Latent Block Model. ICDM Workshops Aurore Lomet, Gérard Govaert, Yves Grandvalet
2012	A*	`conf`	An Efficient Approach to Sparse Linear Discriminant Analysis. ICML Luis Francisco Sánchez Merchante, Yves Grandvalet, Gérard Govaert
2011	J	`jnl`	Inferring multiple graphical structures. Stat. Comput. Julien Chiquet, Yves Grandvalet, Christophe Ambroise
2010	J	`jnl`	Composite kernel learning. Mach. Learn. Marie Szafranski, Yves Grandvalet, Alain Rakotomamonjy
2009	J	`jnl`	Predictive models for music. Connect. Sci. Jean-François Paiement, Yves Grandvalet, Samy Bengio
2008	A*	`conf`	A distance model for rhythms. ICML Jean-François Paiement, Yves Grandvalet, Samy Bengio, Douglas Eck
2008	A*	`conf`	Composite kernel learning. ICML Marie Szafranski, Yves Grandvalet, Alain Rakotomamonjy
2008	—	`conf`	Support Vector Machines with a Reject Option. NIPS Yves Grandvalet, Alain Rakotomamonjy, Joseph Keshet, Stéphane Canu
2007	—	`conf`	Hierarchical Penalization. NIPS Marie Szafranski, Yves Grandvalet, Pierre Morizet-Mahoudeaux
2007	A*	`conf`	More efficiency in multiple kernel learning. ICML Alain Rakotomamonjy, Francis R. Bach, Stéphane Canu, Yves Grandvalet
2007	J	`jnl`	Parsimonious additive models. Comput. Stat. Data Anal. Marta Avalos, Yves Grandvalet, Christophe Ambroise
2007	A*	`conf`	Sparse probabilistic classifiers. ICML Romain Hérault, Yves Grandvalet
2006	—	`ch.`	Entropy Regularization. Semi-Supervised Learning Yves Grandvalet, Yoshua Bengio
2006	—	`conf`	Head and Facial Action Tracking: Comparison of Two Robust Approaches. FGR Romain Hérault, Franck Davoine, Yves Grandvalet
2005	—	`conf`	A Probabilistic Interpretation of SVMs with an Application to Unbalanced Classification. NIPS Yves Grandvalet, Johnny Mariéthoz, Samy Bengio
2005	J	`jnl`	Discrimination par modèles additifs parcimonieux. Rev. d'Intelligence Artif. Marta Avalos, Yves Grandvalet, Christophe Ambroise
2005	—	`conf`	Semi-supervised Learning by Entropy Minimization. CAP Yves Grandvalet, Yoshua Bengio
2004	J	`jnl`	Bagging Equalizes Influence. Mach. Learn. Yves Grandvalet
2004	J	`jnl`	No Unbiased Estimator of the Variance of K-Fold Cross-Validation. J. Mach. Learn. Res. Yoshua Bengio, Yves Grandvalet
2004	—	`conf`	Recycling experiments for sludge monitoring in waste water treatment. SMC (2) Sandro Glaucio Maquiné de Souza, Thierry Denoeux, Yves Grandvalet
2004	—	`conf`	Semi-supervised Learning by Entropy Minimization. NIPS Yves Grandvalet, Yoshua Bengio
2003	J	`jnl`	Addendum to resample and combine: an approach to improving uncertainty representation in evidential pattern classification. Inf. Fusion Jérémie François, Yves Grandvalet, Thierry Denoeux, Jean-Michel Roger
2003	—	`conf`	No Unbiased Estimator of the Variance of K-Fold Cross-Validation. NIPS Yoshua Bengio, Yves Grandvalet
2003	B	`conf`	Regularization Methods for Additive Models. IDA Marta Avalos, Yves Grandvalet, Christophe Ambroise
2003	J	`jnl`	Resample and combine: an approach to improving uncertainty representation in evidential pattern classification. Inf. Fusion Jérémie François, Yves Grandvalet, Thierry Denoeux, Jean-Michel Roger
2002	—	`conf`	Adaptive Scaling for Feature Selection in SVMs. NIPS Yves Grandvalet, Stéphane Canu
2001	C	`conf`	Bagging Can Stabilize without Reducing Variance. ICANN Yves Grandvalet
2001	C	`conf`	Boosting Mixture Models for Semi-supervised Learning. ICANN Yves Grandvalet, Florence d'Alché-Buc, Christophe Ambroise
2001	J	`jnl`	Injection de bruit adaptative pour la détermination de variables pertinentes. Rev. d'Intelligence Artif. Yves Grandvalet
2001	—	`conf`	Semi-supervised MarginBoost. NIPS Florence d'Alché-Buc, Yves Grandvalet, Christophe Ambroise
2000	J	`jnl`	Anisotropic noise injection for input variables relevance determination. IEEE Trans. Neural Networks Learn. Syst. Yves Grandvalet
2000	—	`conf`	Bagging Down-Weights Leverage Points. IJCNN (4) Yves Grandvalet
1998	—	`conf`	Outcomes of the Equivalence of Adaptive Ridge with Least Absolute Shrinkage. NIPS Yves Grandvalet, Stéphane Canu
1997	C	`conf`	Adaptive Noise Injection for Input Variables Relevance Determination. ICANN Yves Grandvalet, Stéphane Canu
1997	J	`jnl`	Noise Injection: Theoretical Prospects. Neural Comput. Yves Grandvalet, Stéphane Canu, Stéphane Boucheron
1997	C	`conf`	Wavelet Frames Based Estimator. ICANN Skander Soltani, Stéphane Canu, Daniel Boichu, Yves Grandvalet
1995	J	`jnl`	Comments on "Noise injection into inputs in back propagation learning". IEEE Trans. Syst. Man Cybern. Yves Grandvalet, Stéphane Canu
1995	B	`conf`	Control of complexity in learning with perturbed inputs. ESANN Yves Grandvalet, Stéphane Canu, Stéphane Boucheron