Amaury Habrard
Orcid: 0000-0003-3038-9347
According to our database1,
Amaury Habrard
authored at least 115 papers
between 2002 and 2024.
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Bibliography
2024
J. Cryptogr. Eng., September, 2024
Mach. Learn., February, 2024
Proceedings of the 20th International Conference on Wireless and Mobile Computing, 2024
A Theoretically Grounded Extension of Universal Attacks from the Attacker's Viewpoint.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024
Approximation Error of Sobolev Regular Functions with Tanh Neural Networks: Theoretical Impact on PINNs.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024
Proceedings of the International Joint Conference on Neural Networks, 2024
Leveraging PAC-Bayes Theory and Gibbs Distributions for Generalization Bounds with Complexity Measures.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024
2023
IACR Trans. Cryptogr. Hardw. Embed. Syst., 2023
Towards Few-Annotation Learning for Object Detection: Are Transformer-based Models More Efficient?
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
Predictive Modeling of Body Shape Changes in Individuals on Dietetic Treatment Using Recurrent Networks.
Proceedings of the 15th International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2023), 2023
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
2022
MetaAP: A meta-tree-based ranking algorithm optimizing the average precision from imbalanced data.
Pattern Recognit. Lett., 2022
IACR Cryptol. ePrint Arch., 2022
Proceedings of the Learning on Graphs Conference, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
2021
Efficiency through Diversity in Ensemble Models applied to Side-Channel Attacks - A Case Study on Public-Key Algorithms -.
IACR Trans. Cryptogr. Hardw. Embed. Syst., 2021
IACR Trans. Cryptogr. Hardw. Embed. Syst., 2021
Signal Process., 2021
Iterative multilinear optimization for planar model fitting under geometric constraints.
PeerJ Comput. Sci., 2021
Improving Deep Learning Networks for Profiled Side-channel Analysis Using Performance Improvement Techniques.
ACM J. Emerg. Technol. Comput. Syst., 2021
Int. J. Artif. Intell. Tools, 2021
Self-bounding Majority Vote Learning Algorithms by the Direct Minimization of a Tight PAC-Bayesian C-Bound.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
2020
IACR Trans. Cryptogr. Hardw. Embed. Syst., 2020
Pattern Recognit. Lett., 2020
IACR Cryptol. ePrint Arch., 2020
IACR Cryptol. ePrint Arch., 2020
Hierarchical and Unsupervised Graph Representation Learning with Loukas's Coarsening.
Algorithms, 2020
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020
Learning from Few Positives: a Provably Accurate Metric Learning Algorithm to Deal with Imbalanced Data.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Proceedings of the Advances in Intelligent Data Analysis XVIII, 2020
Online Performance Evaluation of Deep Learning Networks for Profiled Side-Channel Analysis.
Proceedings of the Constructive Side-Channel Analysis and Secure Design, 2020
2019
Mach. Learn., 2019
Learning Landmark-Based Ensembles with Random Fourier Features and Gradient Boosting.
CoRR, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
An Adjusted Nearest Neighbor Algorithm Maximizing the F-Measure from Imbalanced Data.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Learning maximum excluding ellipsoids from imbalanced data with theoretical guarantees.
Pattern Recognit. Lett., 2018
Proceedings of the Second International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2018
Proceedings of the Advances in Intelligent Data Analysis XVII, 2018
Proceedings of the Advances in Intelligent Data Analysis XVII, 2018
2017
Proceedings of the Domain Adaptation in Computer Vision Applications., 2017
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017
Efficient Top Rank Optimization with Gradient Boosting for Supervised Anomaly Detection.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017
2016
Knowl. Inf. Syst., 2016
J. Mach. Learn. Res., 2016
Learning discriminative tree edit similarities for linear classification - Application to melody recognition.
Neurocomputing, 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the 33nd International Conference on Machine Learning, 2016
2015
Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers, ISBN: 978-3-031-01572-4, 2015
Proceedings of the 3rd International Conference on Learning Representations, 2015
PAC-Bayesian Theorems for Domain Adaptation with Specialization to Linear Classifiers.
CoRR, 2015
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Proceedings of the 32nd International Conference on Machine Learning, 2015
2014
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2014
Some improvements of the spectral learning approach for probabilistic grammatical inference.
Proceedings of the 12th International Conference on Grammatical Inference, 2014
Proceedings of the Computer Vision - ECCV 2014, 2014
2013
Iterative Self-Labeling Domain Adaptation for Linear Structured Image Classification.
Int. J. Artif. Intell. Tools, 2013
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013
A PAC-Bayesian Approach for Domain Adaptation with Specialization to Linear Classifiers.
Proceedings of the 30th International Conference on Machine Learning, 2013
Proceedings of the IEEE International Conference on Computer Vision, 2013
2012
Parsimonious unsupervised and semi-supervised domain adaptation with good similarity functions.
Knowl. Inf. Syst., 2012
Proceedings of the Eleventh International Conference on Grammatical Inference, 2012
Proceedings of the 29th International Conference on Machine Learning, 2012
2011
VideoSense at TRECVID 2011: Semantic Indexing from Light Similarity Functions-based Domain Adaptation with Stacking.
Proceedings of the 2011 TREC Video Retrieval Evaluation, 2011
Proceedings of the Similarity-Based Pattern Recognition - First International Workshop, 2011
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011
Domain Adaptation with Good Edit Similarities: A Sparse Way to Deal with Scaling and Rotation Problems in Image Classification.
Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011
Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011
Proceedings of the 11th IEEE International Conference on Data Mining, 2011
2010
J. Mach. Learn. Res., 2010
Proceedings of the Algorithmic Learning Theory, 21st International Conference, 2010
2009
2008
CoRR, 2008
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008
Proceedings of the Grammatical Inference: Algorithms and Applications, 2008
Proceedings of the Grammatical Inference: Algorithms and Applications, 2008
2007
Proceedings of the Machine Learning: ECML 2007, 2007
Proceedings of the Algorithmic Learning Theory, 18th International Conference, 2007
2006
Proceedings of the Grammatical Inference: Algorithms and Applications, 2006
Proceedings of the Grammatical Inference: Algorithms and Applications, 2006
Proceedings of the Machine Learning: ECML 2006, 2006
Proceedings of the Learning Theory, 19th Annual Conference on Learning Theory, 2006
2005
Detecting Irrelevant Subtrees to Improve Probabilistic Learning from Tree-structured Data.
Fundam. Informaticae, 2005
Correction of Uniformly Noisy Distributions to Improve Probabilistic Grammatical Inference Algorithms.
Proceedings of the Eighteenth International Florida Artificial Intelligence Research Society Conference, 2005
2003
Improvement of the State Merging Rule on Noisy Data in Probabilistic Grammatical Inference.
Proceedings of the Machine Learning: ECML 2003, 2003
Proceedings of the Artificial Intelligence in Medicine, 2003
2002
Proceedings of the Grammatical Inference: Algorithms and Applications, 2002