Pierre Beauseroy

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 20

Top Topics

Transfer Learning

Abnormal Events

Feature Selection

Mahalanobis Distance

Top Venues

Publications

Zhengyang Lyu, Pierre Beauseroy, Alexandre Baussard
Study of an Expansion Method Based on an Image-Specific Classifier and Multi-Features for Weakly Supervised Semantic Segmentation. ICPRAM (2024)
Mamadou Kanouté, Edith Grall-Maës, Pierre Beauseroy
Neural Network-Based Approach for Supervised Nonlinear Feature Selection. IJCCI (2023)
Azzam Alwan, Rémi Cogranne, Pierre Beauseroy, Edith Grall-Maës, Nicolas Belloy, Laurent Debelle, Stéphanie Baud, Manuel Dauchez, Sébastien Almagro
A Fully Automatic and Efficient Methodology for Peptide Activity Identification Using Their 3D Conformations. IEEE Access 9 (2021)
Martin Palazzo, Pierre Beauseroy, Patricio Yankilevich
Unsupervised Feature Selection for Tumor Profiles using Autoencoders and Kernel Methods. CoRR (2020)
Martin Palazzo, Patricio Yankilevich, Pierre Beauseroy
Latent regularization for feature selection using kernel methods in tumor classification. CoRR (2020)
Martin Palazzo, Pierre Beauseroy, Patricio Yankilevich
Unsupervised feature selection for tumor profiles using autoencoders and kernel methods. CIBCB (2020)
Sofia Marino, Pierre Beauseroy, André Smolarz
Unsupervised adversarial deep domain adaptation method for potato defects classification. Comput. Electron. Agric. 174 (2020)
Martin Palazzo, Pierre Beauseroy, Patricio Yankilevich
A pan-cancer somatic mutation embedding using autoencoders. BMC Bioinform. 20 (1) (2019)
Sofia Marino, Pierre Beauseroy, André Smolarz
Deep Learning-based Method for Classifying and Localizing Potato Blemishes. ICPRAM (2019)
Sofia Marino, Pierre Beauseroy, André Smolarz
Weakly-supervised learning approach for potato defects segmentation. Eng. Appl. Artif. Intell. 85 (2019)
Nicole Challita, Mohamad Ali Khalil, Pierre Beauseroy
Efficiency of New Feature Selection Method Based on Neural Network. ICCA (2018)
Van Khoa Le, Edith Grall-Maës, Pierre Beauseroy
Abnormal Events Detection for Infrastructure Security using Key Metrics. ICPRAM (2018)
Patric Nader, Paul Honeine, Pierre Beauseroy
One-Class Classification Framework Based on Shrinkage Methods. J. Signal Process. Syst. 90 (3) (2018)
Nicole Challita, Mohamad Ali Khalil, Pierre Beauseroy
Efficiency and stability of EN-ReliefF, a new method for feature selection. Int. J. Comput. Aided Eng. Technol. 10 (3) (2018)
Yongjian Xue, Pierre Beauseroy
Constant False Alarm Rate for Online one Class Svm Learning. ICASSP (2018)
Yongjian Xue, Pierre Beauseroy
Transfer Learning to Adapt One Class SVM Detection to Additional Features. ICPRAM (2018)
Van Khoa Le, Pierre Beauseroy, Edith Grall-Maës
Abnormal trajectory detection for security infrastructure. ICDSP (2018)
Yongjian Xue, Pierre Beauseroy
Transfer learning for one class SVM adaptation to limited data distribution change. Pattern Recognit. Lett. 100 (2017)
Nicolas Lefebvre, Xiandong Chen, Pierre Beauseroy, Mengyao Zhu
Traffic flow estimation using acoustic signal. Eng. Appl. Artif. Intell. 64 (2017)
Yongjian Xue, Pierre Beauseroy
Multi-task learning for one-class SVM with additional new features. ICPR (2016)
Xiyan He, Pierre Beauseroy, André Smolarz
Dynamic Feature Subspaces Selection for Decision in a Nonstationary Environment. Int. J. Pattern Recognit. Artif. Intell. 29 (6) (2015)
Nicolas Chrysanthos, Pierre Beauseroy, Hichem Snoussi, Edith Grall-Maës
Theoretical properties and implementation of the one-sided mean kernel for time series. Neurocomputing 169 (2015)
Patric Nader, Paul Honeine, Pierre Beauseroy
Shrinkage methods for one-class classification. EUSIPCO (2015)
Van Khoa Le, Pierre Beauseroy
Path for Kernel Adaptive One-Class Support Vector Machine. ICMLA (2015)
Patric Nader, Paul Honeine, Pierre Beauseroy
Online One-class Classification for Intrusion Detection Based on the Mahalanobis Distance. ESANN (2015)
Nicolas Chrysanthos, Pierre Beauseroy, Hichem Snoussi, Edith Grall-Maës, Fabrice Ferrand
The one-sided mean kernel: a positive definite kernel for time series. ESANN (2014)
Alaa Hilal, Pierre Beauseroy, Bassam Daya
Elastic strips normalisation model for higher iris recognition performance. IET Biom. 3 (4) (2014)
Patric Nader, Paul Honeine, Pierre Beauseroy
The Role of One-Class Classification in Detecting Cyberattacks in Critical Infrastructures. CRITIS (2014)
Xiyan He, Gilles Mourot, Didier Maquin, José Ragot, Pierre Beauseroy, André Smolarz, Edith Grall-Maës
Multi-task learning with one-class SVM. Neurocomputing 133 (2014)
Patric Nader, Paul Honeine, Pierre Beauseroy
Mahalanobis-based one-class classification. MLSP (2014)
Patric Nader, Paul Honeine, Pierre Beauseroy
-norms in One-Class Classification for Intrusion Detection in SCADA Systems. IEEE Trans. Ind. Informatics 10 (4) (2014)
Patric Nader, Paul Honeine, Pierre Beauseroy
Intrusion detection in scada systems using one-class classification. EUSIPCO (2013)
Alaa Hilal, Pierre Beauseroy, Bassam Daya
Identifying Discriminatory Characteristics Location in an Iris Template. ICSS (2013)
X. Z. Wang, Edith Grall-Maës, Pierre Beauseroy
A Normalized Criterion of Spatial Clustering in Model-Based Framework. ICMLA (1) (2012)
Yuan Dong, Pierre Beauseroy, André Smolarz
A robust classification method using combined classifiers in a nonstationary environment. EUSIPCO (2012)
Alaa Hilal, Bassam Daya, Pierre Beauseroy
Improved Iris Recognition using Parabolic Normalization and Multi-layer Perceptron Neural Network. IJCCI (2012)
Xiyan He, Pierre Beauseroy, André Smolarz
Feature subspaces selection via one-class SVM: Application to textured image segmentation. IPTA (2010)
Pierre Beauseroy, André Smolarz, Yuan Dong, Xiyan He
Dynamic Decision Method Based on Contextual Selection of Representation Subspaces. ICMLA (2010)
Edith Grall-Maës, Pierre Beauseroy
Optimal Decision Rule with Class-Selective Rejection and Performance Constraints. IEEE Trans. Pattern Anal. Mach. Intell. 31 (11) (2009)
Nisrine Jrad, Edith Grall-Maës, Pierre Beauseroy
Gaussian Mixture Models for multiclass problems with performance constraints. ESANN (2009)
Nisrine Jrad, Edith Grall-Maës, Pierre Beauseroy
Supervised learning rule selection for multiclass decision with performance constraints. ICPR (2008)
Nisrine Jrad, Edith Grall-Maës, Pierre Beauseroy
A Supervised Decision Rule for Multiclass Problems Minimizing a Loss Function. ICMLA (2008)
Abdenour Bounsiar, Pierre Beauseroy, Edith Grall-Maës
General solution and learning method for binary classification with performance constraints. Pattern Recognit. Lett. 29 (10) (2008)
Xiyan He, Pierre Beauseroy, André Smolarz
Random feature subset selection in a nonstationary environment: Application to textured image segmentation. ICIP (2008)
Edith Grall-Maës, Pierre Beauseroy, Abdenour Bounsiar
Quality assessment of a supervised multilabel classification rule with performance constraints. EUSIPCO (2006)
Edith Grall-Maës, Pierre Beauseroy, Abdenour Bounsiar
Multilabel Classification Rule with Performance Constraints. ICASSP (3) (2006)
Abdenour Bounsiar, Pierre Beauseroy, Edith Grall-Maës
Fast Training and Efficient Linear Learning Machine. ICASSP (5) (2006)
Abdenour Bounsiar, Pierre Beauseroy, Edith Grall-Maës
A straightforward SVM approach for classification with constraints. EUSIPCO (2005)
Edith Grall-Maës, Pierre Beauseroy
Mutual information-based feature extraction on the time-frequency plane. IEEE Trans. Signal Process. 50 (4) (2002)