Pierre Beauseroy

54 papers B 6C 13Misc 1Journal 20Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Multi-Feature Image-Specific Pixel Classification Approach for Weakly Supervised Semantic Segmentation. SN Comput. Sci. Zhengyang Lyu, Pierre Beauseroy, Alexandre Baussard
2025	C	`conf`	DNN Layers Features Reduction for Out-of-Distribution Detection. ICPRAM Mikhaël Presley Kibinda-Moukengue, Alexandre Baussard, Pierre Beauseroy
2025	J	`jnl`	Nonlinear Feature Selection for Multi-target Regression Problems. SN Comput. Sci. Mamadou Kanouté, Edith Grall-Maës, Pierre Beauseroy
2024	C	`conf`	Study of an Expansion Method Based on an Image-Specific Classifier and Multi-Features for Weakly Supervised Semantic Segmentation. ICPRAM Zhengyang Lyu, Pierre Beauseroy, Alexandre Baussard
2024	C	`conf`	Unsupervised Feature Selection Using Extreme Learning Machine. IJCCI Mamadou Kanouté, Edith Grall-Maës, Pierre Beauseroy
2023	C	`conf`	Neural Network-Based Approach for Supervised Nonlinear Feature Selection. IJCCI Mamadou Kanouté, Edith Grall-Maës, Pierre Beauseroy
2021	J	`jnl`	A Fully Automatic and Efficient Methodology for Peptide Activity Identification Using Their 3D Conformations. IEEE Access Azzam Alwan, Rémi Cogranne, Pierre Beauseroy, Edith Grall-Maës, Nicolas Belloy, Laurent Debelle, Stéphanie Baud, Manuel Dauchez, Sébastien Almagro
2020	J	`jnl`	Latent regularization for feature selection using kernel methods in tumor classification. CoRR Martin Palazzo, Patricio Yankilevich, Pierre Beauseroy
2020	J	`jnl`	Unsupervised Feature Selection for Tumor Profiles using Autoencoders and Kernel Methods. CoRR Martin Palazzo, Pierre Beauseroy, Patricio Yankilevich
2020	J	`jnl`	Unsupervised adversarial deep domain adaptation method for potato defects classification. Comput. Electron. Agric. Sofia Marino, Pierre Beauseroy, André Smolarz
2020	C	`conf`	Unsupervised feature selection for tumor profiles using autoencoders and kernel methods. CIBCB Martin Palazzo, Pierre Beauseroy, Patricio Yankilevich
2019	J	`jnl`	A pan-cancer somatic mutation embedding using autoencoders. BMC Bioinform. Martin Palazzo, Pierre Beauseroy, Patricio Yankilevich
2019	C	`conf`	Deep Learning-based Method for Classifying and Localizing Potato Blemishes. ICPRAM Sofia Marino, Pierre Beauseroy, André Smolarz
2019	J	`jnl`	Weakly-supervised learning approach for potato defects segmentation. Eng. Appl. Artif. Intell. Sofia Marino, Pierre Beauseroy, André Smolarz
2018	C	`conf`	Abnormal Events Detection for Infrastructure Security using Key Metrics. ICPRAM Van Khoa Le, Edith Grall-Maës, Pierre Beauseroy
2018	—	`conf`	Abnormal trajectory detection for security infrastructure. ICDSP Van Khoa Le, Pierre Beauseroy, Edith Grall-Maës
2018	Misc	`conf`	Constant False Alarm Rate for Online one Class Svm Learning. ICASSP Yongjian Xue, Pierre Beauseroy
2018	J	`jnl`	Efficiency and stability of EN-ReliefF, a new method for feature selection. Int. J. Comput. Aided Eng. Technol. Nicole Challita, Mohamad Ali Khalil, Pierre Beauseroy
2018	—	`conf`	Efficiency of New Feature Selection Method Based on Neural Network. ICCA Nicole Challita, Mohamad Ali Khalil, Pierre Beauseroy
2018	J	`jnl`	One-Class Classification Framework Based on Shrinkage Methods. J. Signal Process. Syst. Patric Nader, Paul Honeine, Pierre Beauseroy
2018	C	`conf`	Transfer Learning to Adapt One Class SVM Detection to Additional Features. ICPRAM Yongjian Xue, Pierre Beauseroy
2017	J	`jnl`	Traffic flow estimation using acoustic signal. Eng. Appl. Artif. Intell. Nicolas Lefebvre, Xiandong Chen, Pierre Beauseroy, Mengyao Zhu
2017	J	`jnl`	Transfer learning for one class SVM adaptation to limited data distribution change. Pattern Recognit. Lett. Yongjian Xue, Pierre Beauseroy
2016	B	`conf`	Multi-task learning for one-class SVM with additional new features. ICPR Yongjian Xue, Pierre Beauseroy
2015	J	`jnl`	Dynamic Feature Subspaces Selection for Decision in a Nonstationary Environment. Int. J. Pattern Recognit. Artif. Intell. Xiyan He, Pierre Beauseroy, André Smolarz
2015	B	`conf`	Online One-class Classification for Intrusion Detection Based on the Mahalanobis Distance. ESANN Patric Nader, Paul Honeine, Pierre Beauseroy
2015	C	`conf`	Path for Kernel Adaptive One-Class Support Vector Machine. ICMLA Van Khoa Le, Pierre Beauseroy
2015	—	`conf`	Shrinkage methods for one-class classification. EUSIPCO Patric Nader, Paul Honeine, Pierre Beauseroy
2015	J	`jnl`	Theoretical properties and implementation of the one-sided mean kernel for time series. Neurocomputing Nicolas Chrysanthos, Pierre Beauseroy, Hichem Snoussi, Edith Grall-Maës
2014	J	`jnl`	Elastic strips normalisation model for higher iris recognition performance. IET Biom. Alaa Hilal, Pierre Beauseroy, Bassam Daya
2014	—	`conf`	Mahalanobis-based one-class classification. MLSP Patric Nader, Paul Honeine, Pierre Beauseroy
2014	J	`jnl`	Multi-task learning with one-class SVM. Neurocomputing Xiyan He, Gilles Mourot, Didier Maquin, José Ragot, Pierre Beauseroy, André Smolarz, Edith Grall-Maës
2014	C	`conf`	The Role of One-Class Classification in Detecting Cyberattacks in Critical Infrastructures. CRITIS Patric Nader, Paul Honeine, Pierre Beauseroy
2014	B	`conf`	The one-sided mean kernel: a positive definite kernel for time series. ESANN Nicolas Chrysanthos, Pierre Beauseroy, Hichem Snoussi, Edith Grall-Maës, Fabrice Ferrand
2014	J	`jnl`	l IEEE Trans. Ind. Informatics Patric Nader, Paul Honeine, Pierre Beauseroy
2013	—	`conf`	Identifying Discriminatory Characteristics Location in an Iris Template. ICSS Alaa Hilal, Pierre Beauseroy, Bassam Daya
2013	—	`conf`	Intrusion detection in scada systems using one-class classification. EUSIPCO Patric Nader, Paul Honeine, Pierre Beauseroy
2012	—	`conf`	A Normalized Criterion of Spatial Clustering in Model-Based Framework. ICMLA (1) X. Z. Wang, Edith Grall-Maës, Pierre Beauseroy
2012	—	`conf`	A robust classification method using combined classifiers in a nonstationary environment. EUSIPCO Yuan Dong, Pierre Beauseroy, André Smolarz
2012	C	`conf`	Improved Iris Recognition using Parabolic Normalization and Multi-layer Perceptron Neural Network. IJCCI Alaa Hilal, Bassam Daya, Pierre Beauseroy
2010	C	`conf`	Dynamic Decision Method Based on Contextual Selection of Representation Subspaces. ICMLA Pierre Beauseroy, André Smolarz, Yuan Dong, Xiyan He
2010	—	`conf`	Feature subspaces selection via one-class SVM: Application to textured image segmentation. IPTA Xiyan He, Pierre Beauseroy, André Smolarz
2009	B	`conf`	Gaussian Mixture Models for multiclass problems with performance constraints. ESANN Nisrine Jrad, Edith Grall-Maës, Pierre Beauseroy
2009	J	`jnl`	Optimal Decision Rule with Class-Selective Rejection and Performance Constraints. IEEE Trans. Pattern Anal. Mach. Intell. Edith Grall-Maës, Pierre Beauseroy
2008	C	`conf`	A Supervised Decision Rule for Multiclass Problems Minimizing a Loss Function. ICMLA Nisrine Jrad, Edith Grall-Maës, Pierre Beauseroy
2008	J	`jnl`	General solution and learning method for binary classification with performance constraints. Pattern Recognit. Lett. Abdenour Bounsiar, Pierre Beauseroy, Edith Grall-Maës
2008	B	`conf`	Random feature subset selection in a nonstationary environment: Application to textured image segmentation. ICIP Xiyan He, Pierre Beauseroy, André Smolarz
2008	B	`conf`	Supervised learning rule selection for multiclass decision with performance constraints. ICPR Nisrine Jrad, Edith Grall-Maës, Pierre Beauseroy
2008	—	`ch.`	Sélection aléatoire d'espaces de représentation pour la décision binaire en environnement non-stationnaire: application à la segmentation d'images texturées. Les Relations Spatiales Pierre Beauseroy, André Smolarz, Xiyan He
2006	—	`conf`	Fast Training and Efficient Linear Learning Machine. ICASSP (5) Abdenour Bounsiar, Pierre Beauseroy, Edith Grall-Maës
2006	—	`conf`	Multilabel Classification Rule with Performance Constraints. ICASSP (3) Edith Grall-Maës, Pierre Beauseroy, Abdenour Bounsiar
2006	—	`conf`	Quality assessment of a supervised multilabel classification rule with performance constraints. EUSIPCO Edith Grall-Maës, Pierre Beauseroy, Abdenour Bounsiar
2005	—	`conf`	A straightforward SVM approach for classification with constraints. EUSIPCO Abdenour Bounsiar, Pierre Beauseroy, Edith Grall-Maës
2002	J	`jnl`	Mutual information-based feature extraction on the time-frequency plane. IEEE Trans. Signal Process. Edith Grall-Maës, Pierre Beauseroy