Pierre Beauseroy

According to our database, Pierre Beauseroy authored at least 50 papers between 2002 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Unsupervised Feature Selection Using Extreme Learning Machine.

Mamadou Kanouté, Edith Grall-Maës, Pierre Beauseroy

Proceedings of the 16th International Joint Conference on Computational Intelligence, 2024

Study of an Expansion Method Based on an Image-Specific Classifier and Multi-Features for Weakly Supervised Semantic Segmentation.

Zhengyang Lyu, Pierre Beauseroy, Alexandre Baussard

Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods, 2024

2023

Neural Network-Based Approach for Supervised Nonlinear Feature Selection.

Mamadou Kanouté, Edith Grall-Maës, Pierre Beauseroy

Proceedings of the 15th International Joint Conference on Computational Intelligence, 2023

2021

A Fully Automatic and Efficient Methodology for Peptide Activity Identification Using Their 3D Conformations.

Azzam Alwan, Rémi Cogranne, Pierre Beauseroy, Edith Grall-Maës, Nicolas Belloy, Laurent Debelle, Stéphanie Baud, Manuel Dauchez, Sébastien Almagro

IEEE Access, 2021

2020

Latent regularization for feature selection using kernel methods in tumor classification.

Martin Palazzo, Patricio Yankilevich, Pierre Beauseroy

CoRR, 2020

Unsupervised adversarial deep domain adaptation method for potato defects classification.

Sofia Marino, Pierre Beauseroy, André Smolarz

Comput. Electron. Agric., 2020

Unsupervised feature selection for tumor profiles using autoencoders and kernel methods.

Martin Palazzo, Pierre Beauseroy, Patricio Yankilevich

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2020

2019

Weakly-supervised learning approach for potato defects segmentation.

Sofia Marino, Pierre Beauseroy, André Smolarz

Eng. Appl. Artif. Intell., 2019

A pan-cancer somatic mutation embedding using autoencoders.

Martin Palazzo, Pierre Beauseroy, Patricio Yankilevich

BMC Bioinform., 2019

Deep Learning-based Method for Classifying and Localizing Potato Blemishes.

Sofia Marino, Pierre Beauseroy, André Smolarz

Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods, 2019

2018

One-Class Classification Framework Based on Shrinkage Methods.

Patric Nader, Paul Honeine, Pierre Beauseroy

J. Signal Process. Syst., 2018

Efficiency and stability of EN-ReliefF, a new method for feature selection.

Nicole Challita, Mohamad Ali Khalil, Pierre Beauseroy

Int. J. Comput. Aided Eng. Technol., 2018

Transfer Learning to Adapt One Class SVM Detection to Additional Features.

Yongjian Xue, Pierre Beauseroy

Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods, 2018

Abnormal Events Detection for Infrastructure Security using Key Metrics.

Van Khoa Le, Edith Grall-Maës, Pierre Beauseroy

Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods, 2018

Abnormal trajectory detection for security infrastructure.

Van Khoa Le, Pierre Beauseroy, Edith Grall-Maës

Proceedings of the 2nd International Conference on Digital Signal Processing, 2018

Efficiency of New Feature Selection Method Based on Neural Network.

Nicole Challita, Mohamad Ali Khalil, Pierre Beauseroy

Proceedings of the 2018 International Conference on Computer and Applications (ICCA), 2018

Constant False Alarm Rate for Online one Class Svm Learning.

Yongjian Xue, Pierre Beauseroy

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Transfer learning for one class SVM adaptation to limited data distribution change.

Yongjian Xue, Pierre Beauseroy

Pattern Recognit. Lett., 2017

Traffic flow estimation using acoustic signal.

Nicolas Lefebvre, Xiandong Chen, Pierre Beauseroy, Mengyao Zhu

Eng. Appl. Artif. Intell., 2017

2016

Multi-task learning for one-class SVM with additional new features.

Yongjian Xue, Pierre Beauseroy

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015

Dynamic Feature Subspaces Selection for Decision in a Nonstationary Environment.

Xiyan He, Pierre Beauseroy, André Smolarz

Int. J. Pattern Recognit. Artif. Intell., 2015

Theoretical properties and implementation of the one-sided mean kernel for time series.

Nicolas Chrysanthos, Pierre Beauseroy, Hichem Snoussi, Edith Grall-Maës

Neurocomputing, 2015

Path for Kernel Adaptive One-Class Support Vector Machine.

Van Khoa Le, Pierre Beauseroy

Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

Shrinkage methods for one-class classification.

Patric Nader, Paul Honeine, Pierre Beauseroy

Proceedings of the 23rd European Signal Processing Conference, 2015

Online One-class Classification for Intrusion Detection Based on the Mahalanobis Distance.

Patric Nader, Paul Honeine, Pierre Beauseroy

Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

2014

l_p-norms in One-Class Classification for Intrusion Detection in SCADA Systems.

Patric Nader, Paul Honeine, Pierre Beauseroy

IEEE Trans. Ind. Informatics, 2014

Multi-task learning with one-class SVM.

Xiyan He, Gilles Mourot, Didier Maquin, José Ragot, Pierre Beauseroy, André Smolarz, Edith Grall-Maës

Neurocomputing, 2014

Elastic strips normalisation model for higher iris recognition performance.

Alaa Hilal, Pierre Beauseroy, Bassam Daya

IET Biom., 2014

Mahalanobis-based one-class classification.

Patric Nader, Paul Honeine, Pierre Beauseroy

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

The one-sided mean kernel: a positive definite kernel for time series.

Nicolas Chrysanthos, Pierre Beauseroy, Hichem Snoussi, Edith Grall-Maës, Fabrice Ferrand

Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

The Role of One-Class Classification in Detecting Cyberattacks in Critical Infrastructures.

Patric Nader, Paul Honeine, Pierre Beauseroy

Proceedings of the Critical Information Infrastructures Security, 2014

2013

Identifying Discriminatory Characteristics Location in an Iris Template.

Alaa Hilal, Pierre Beauseroy, Bassam Daya

Proceedings of the Advances in Systems Science, 2013

Intrusion detection in scada systems using one-class classification.

Patric Nader, Paul Honeine, Pierre Beauseroy

Proceedings of the 21st European Signal Processing Conference, 2013

2012

Improved Iris Recognition using Parabolic Normalization and Multi-layer Perceptron Neural Network.

Alaa Hilal, Bassam Daya, Pierre Beauseroy

Proceedings of the IJCCI 2012 - Proceedings of the 4th International Joint Conference on Computational Intelligence, Barcelona, Spain, 5, 2012

A Normalized Criterion of Spatial Clustering in Model-Based Framework.

X. Z. Wang, Edith Grall-Maës, Pierre Beauseroy

Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

A robust classification method using combined classifiers in a nonstationary environment.

Yuan Dong, Pierre Beauseroy, André Smolarz

Proceedings of the 20th European Signal Processing Conference, 2012

2010

Feature subspaces selection via one-class SVM: Application to textured image segmentation.

Xiyan He, Pierre Beauseroy, André Smolarz

Proceedings of the 2nd International Conference on Image Processing Theory Tools and Applications, 2010

Dynamic Decision Method Based on Contextual Selection of Representation Subspaces.

Pierre Beauseroy, André Smolarz, Yuan Dong, Xiyan He

Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

2009

Optimal Decision Rule with Class-Selective Rejection and Performance Constraints.

Edith Grall-Maës, Pierre Beauseroy

IEEE Trans. Pattern Anal. Mach. Intell., 2009

Gaussian Mixture Models for multiclass problems with performance constraints.

Nisrine Jrad, Edith Grall-Maës, Pierre Beauseroy

Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009

2008

Sélection aléatoire d'espaces de représentation pour la décision binaire en environnement non-stationnaire: application à la segmentation d'images texturées.

Pierre Beauseroy, André Smolarz, Xiyan He

Proceedings of the Les Relations Spatiales : de la modélisation à la mise en oeuvre, 2008

General solution and learning method for binary classification with performance constraints.

Abdenour Bounsiar, Pierre Beauseroy, Edith Grall-Maës

Pattern Recognit. Lett., 2008

Supervised learning rule selection for multiclass decision with performance constraints.

Nisrine Jrad, Edith Grall-Maës, Pierre Beauseroy

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

A Supervised Decision Rule for Multiclass Problems Minimizing a Loss Function.

Nisrine Jrad, Edith Grall-Maës, Pierre Beauseroy

Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

Random feature subset selection in a nonstationary environment: Application to textured image segmentation.

Xiyan He, Pierre Beauseroy, André Smolarz

Proceedings of the International Conference on Image Processing, 2008

2006

Multilabel Classification Rule with Performance Constraints.

Edith Grall-Maës, Pierre Beauseroy, Abdenour Bounsiar

Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Fast Training and Efficient Linear Learning Machine.

Abdenour Bounsiar, Pierre Beauseroy, Edith Grall-Maës

Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Quality assessment of a supervised multilabel classification rule with performance constraints.

Edith Grall-Maës, Pierre Beauseroy, Abdenour Bounsiar

Proceedings of the 14th European Signal Processing Conference, 2006

2005

A straightforward SVM approach for classification with constraints.

Abdenour Bounsiar, Pierre Beauseroy, Edith Grall-Maës

Proceedings of the 13th European Signal Processing Conference, 2005

2002

Mutual information-based feature extraction on the time-frequency plane.

Edith Grall-Maës, Pierre Beauseroy

IEEE Trans. Signal Process., 2002