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cea-01830770v1  Conference papers
Maxime Sangnier, J. Gauthier, A. Rakotomamonjy. Filter bank Kernel Learning for nonstationary signal classification
2013 IEEE International Conference on Acoustics, Speech and Signal Processing, May 2013, Vancouver, BC, Canada. pp.3183-3187, ⟨10.1109/ICASSP.2013.6638245⟩
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hal-01831701v1  Conference papers
Darya Chyzhyk, Gaël Varoquaux, Bertrand Thirion, Michael Milham. Controlling a confound in predictive models with a test set minimizing its effect
PRNI 2018 - 8th International Workshop on Pattern Recognition in Neuroimaging, Jun 2018, Singapore, Singapore. pp.1-4
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hal-01525605v2  Journal articles
Benjamin Quost, Thierry Denoeux, Shoumei Li. Parametric classification with soft labels using the Evidential EM algorithm
Advances in Data Analysis and Classification, Springer Verlag, 2017, 11 (4), pp.659-690. ⟨10.1007/s11634-017-0301-2⟩
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tel-03440914v1  Habilitation à diriger des recherches
Guillemette Marot. Contributions méthodologiques en statistique pour l'analyse et l'intégration de données -omiques et cliniques
Statistiques [math.ST]. Université de Lille, 2021
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hal-02733439v3  Preprints, Working Papers, ...
Nicklas Werge, Olivier Wintenberger. AdaVol: An Adaptive Recursive Volatility Prediction Method
2021
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hal-02071470v2  Conference papers
Bastien Ponchon, Santiago Velasco-Forero, Samy Blusseau, Jesus Angulo, Isabelle Bloch. Part-based approximations for morphological operators using asymmetric auto-encoders
International Symposium on Mathematical Morphology, Jul 2019, Saarbrücken, Germany
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hal-00743931v3  Preprints, Working Papers, ...
Sylvain Arlot, Matthieu Lerasle. Choice of V for V-Fold Cross-Validation in Least-Squares Density Estimation
2015
hal-02096536v1  Conference papers
Benjamin Labbé, Romain Hérault, Clément Chatelain. Learning Deep Neural Networks for High Dimensional Output Problems
2009 International Conference on Machine Learning and Applications (ICMLA), Dec 2009, Miami, United States. pp.63-68, ⟨10.1109/ICMLA.2009.48⟩
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hal-03296912v1  Journal articles
Rachid Ouaret, B. Birregah, Omar Jaafor. Spatial patterns of the French rail strikes from social networks using weighted k-nearest neighbour
International Journal of Social Network Mining, 2020, 3 (1), pp.52. ⟨10.1504/IJSNM.2020.105745⟩
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hal-03454793v1  Journal articles
Ismael Lemhadri, Feng Ruan, Louis Abraham, Robert Tibshirani. LassoNet: A Neural Network with Feature Sparsity
Journal of Machine Learning Research, Microtome Publishing, In press, 22 (127)
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hal-02972577v1  Conference papers
Konstantin Avrachenkov, Maksim Mironov. Cluster-size constrained network partitioning
ICPR 2020 - 25th International Conference on Pattern Recognition, Jan 2021, Milano, Italy. ⟨10.1109/ICPR48806.2021.9412095⟩
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hal-00731657v1  Book sections
David Ginsbourger, Nicolas Durrande, Olivier Roustant. Kernels and designs for modelling invariant functions: From group invariance to additivity
MODA-10, Physica-Verlag HD, 2013
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hal-01064050v1  Conference papers
Romain Negrel, David Picard, Philippe-Henri Gosselin. Efficient Dimension Reduction Of Global Signature With Sparse Projectors For Image Near Duplicate Retrieval
IAPR International Conference on Pattern Recognition, Aug 2014, Stockholm, Sweden. 6 p
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hal-00907444v1  Journal articles
Ronay Ak, Valeria Vitelli, Enrico Zio. An Interval-Valued Neural Network Approach for Uncertainty Quantification in Short-Term Wind Speed Prediction
IEEE Transactions on Neural Networks and Learning Systems, IEEE, 2015, 26 (11), pp.2787-2800. ⟨10.1109/TNNLS.2015.2396933⟩
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in2p3-00907381v1  Conference papers
R. Bardenet, Balázs Kégl, M. Brendel, Michèle Sebag. Collaborative hyperparameter tuning
30th International Conference on Machine Learning (ICML 2013), Jun 2013, Atlanta, United States. pp.199-207
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hal-03021394v2  Conference papers
Gersende Fort, Eric Moulines, Hoi-To Wai. Geom-SPIDER-EM: Faster Variance Reduced Stochastic Expectation Maximization for Nonconvex Finite-Sum Optimization
2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Jun 2021, Toronto, Canada
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hal-02973046v1  Journal articles
Ana Luísa Pinho, Alexis Amadon, Baptiste Gauthier, Nicolas Clairis, André Knops et al.  Individual Brain Charting dataset extension, second release of high-resolution fMRI data for cognitive mapping
Scientific Data , Nature Publishing Group, In press, ⟨10.1038/s41597-020-00670-4⟩
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hal-01689283v1  Conference papers
Jocelyn Chauvet, Catherine Trottier, Xavier Bry, Frédéric Mortier. Extension de la régression linéaire généralisée sur composantes supervisées (SCGLR) aux données groupées
JdS 2016, 48èmes Journées de Statistique de la SFdS, May 2016, Montpellier, France
hal-01855792v1  Conference papers
Ismael Caballero, Laure Berti-Équille, Mario Piattini. Towards Principled Data Science Assessment - The Personal Data Science Process (PdsP)
17th International Conference on Enterprise Information Systems, Apr 2015, Barcelona, France. ⟨10.5220/0005463703740378⟩
hal-01855785v1  Conference papers
Laure Berti-Équille, Tamraparni Dasu, Divesh Srivastava. Discovery of complex glitch patterns: A novel approach to Quantitative Data Cleaning
2011 IEEE International Conference on Data Engineering (ICDE 2011), Apr 2011, Hannover, Germany. ⟨10.1109/ICDE.2011.5767864⟩
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hal-02176573v1  Journal articles
Giovanni Fusco, Joan Perez. Bayesian Network Clustering and Self-Organizing Maps under the Test of Indian Districts. A comparison
Cybergeo : Revue européenne de géographie / European journal of geography, UMR 8504 Géographie-cités, 2019, ⟨10.4000/cybergeo.31909⟩
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hal-01615461v1  Conference papers
Thomas Guntz, Raffaella Balzarini, Dominique Vaufreydaz, James L. Crowley. Multimodal Observation and Interpretation of Subjects Engaged in Problem Solving
1st Workshop on “Behavior, Emotion and Representation: Building Blocks of Interaction”, Oct 2017, Bielefeld, Germany
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hal-01774423v1  Journal articles
Silvia Biasotti, E. Moscoso Thompson, Loic Barthe, Stefano Berretti, A. Giachetti et al.  SHREC'18 track: Recognition of geometric patterns over 3D models
Eurographics Workshop on 3D Object Retrieval, 2018, ⟨10.2312/3dor.20181055⟩
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hal-03018559v1  Poster communications
Sébastien Petit, Julien Bect, Paul Feliot, Emmanuel Vazquez. Gaussian process model selection for computer experiments
MASCOT PhD student 2020 Meeting, Sep 2020, Grenoble, France
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hal-03022267v1  Poster communications
Bruno Barracosa, Julien Bect, Héloïse Dutrieux Baraffe, Juliette Morin, Josselin Fournel et al.  Bayesian multi-objective optimization with noisy evaluations
MASCOT PhD student 2020 Meeting, Sep 2020, Grenoble, France
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hal-01818569v1  Conference papers
Jocelyn Chauvet, Catherine Trottier, Xavier Bry, Frederic Mortier. Extension to mixed models of the Supervised Component-based Generalised Linear Regression
COMPSTAT 2016, 22nd International Conference on Computational Statistics, Aug 2016, Oviedo, Spain