P. Beauseroy

发表

Optimal Decision Rule with Class-Selective Rejection and Performance Constraints

Pierre Beauseroy, Edith Grall-Maës, E. Grall-Maës, 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Hepatocellular Carcinoma tumor stage classiﬁcation and gene selection using machine learning models.

P. Beauseroy, Martín Palazzo, P. Yankilevich, 2019 .

Hough Transform and Active Contour for Enhanced Iris Segmentation

P. Beauseroy, B. Daya, A. Hilal, 2012 .

Feature extraction and selection using statistical dependence criteria

P. Beauseroy, D. Tomassi, N. Marx, 2016 .

Elimination of cross-components of the discrete Wigner-Ville distribution via a correlation method

E. Grall-Maes, P. Beauseroy, P. Beauseroy, 1996, Proceedings of Third International Conference on Signal Processing (ICSP'96).

Detection/Classification of Argon and Water Injections into Sodium into an SG of a Fast Neutron Reactor

I. Nikiforov, E. Grall-Maës, P. Beauseroy, 2013 .

One-Class Classification Framework Based on Shrinkage Methods

P. Honeine, P. Beauseroy, Patric Nader, 2017, Journal of Signal Processing Systems.

Learning Multiclass Rules with Class-Selective Rejection and Performance Constraints

Pierre Beauseroy, Edith Grall-Maës, Nisrine Jrad, 2010 .

Gene-Based Multiclass Cancer Diagnosis with Class-Selective Rejections

Pierre Beauseroy, Edith Grall-Maës, Nisrine Jrad, 2009, Journal of biomedicine & biotechnology.

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

Hichem Snoussi, Pierre Beauseroy, Edith Grall-Maës, 2015, Neurocomputing.

Fast Training and Efficient Linear Learning Machine

Pierre Beauseroy, Abdenour Bounsiar, Edith Grall-Maës, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Coupled Mass-Spectrometry-Based Lipidomics Machine Learning Approach for Early Detection of Clear Cell Renal Cell Carcinoma.

P. Beauseroy, Martín Palazzo, P. Yankilevich, 2020, Journal of proteome research.

A pan-cancer somatic mutation embedding using autoencoders

P. Beauseroy, Martín Palazzo, P. Yankilevich, 2019, BMC Bioinformatics.

Constant False Alarm Rate for Online one Class Svm Learning

Pierre Beauseroy, Yongjian Xue, P. Beauseroy, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

An efficient statistical methodology for peptide 3D structure clustering

Pierre Beauseroy, Azzam Alwan, Edith Grall-Maës, 2018, 2018 IEEE 4th Middle East Conference on Biomedical Engineering (MECBME).

Transfer Learning to Adapt One Class SVM Detection to Additional Features

Pierre Beauseroy, Yongjian Xue, P. Beauseroy, 2018, ICPRAM.

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

Pierre Beauseroy, Yongjian Xue, P. Beauseroy, 2017, Pattern Recognit. Lett..

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

Pierre Beauseroy, Yongjian Xue, P. Beauseroy, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

Dynamic Feature Subspaces Selection for Decision in a Nonstationary Environment

Pierre Beauseroy, André Smolarz, Xiyan He, 2015, Int. J. Pattern Recognit. Artif. Intell..

Multi-task learning with one-class SVM

José Ragot, Pierre Beauseroy, André Smolarz, 2014, Neurocomputing.

Multitask learning for the diagnosis of machine fleet

Pierre Beauseroy, André Smolarz, Gilles Mourot, 2013 .

Extension of the Learning Domain in Monitoring Turbofan Start Capability System

Pierre Beauseroy, Jean-Remi Masse, Edith Grall-Maës, 2012 .

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

Pierre Beauseroy, Xiyan He, André Smolarz, 2010, 2010 2nd International Conference on Image Processing Theory, Tools and Applications.

A Kernel Based Rejection Method for Supervised Classification

Pierre Beauseroy, Abdenour Bounsiar, Edith Grall, 2007 .

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

Pierre Beauseroy, Azzam Alwan, Edith Grall-Maës, 2021, IEEE Access.

Nonintrusive turbomachine blade vibration measurement system

Régis Lengellé, Pierre Beauseroy, R. Lengellé, 2007 .

Weakly-supervised learning approach for potato defects segmentation

Pierre Beauseroy, Sofia Marino, André Smolarz, 2019, Eng. Appl. Artif. Intell..

Nearest-neighbour ensembles in lasso feature subspaces

P. Beauseroy, Xiyan He, André Smolarz, 2010 .

Unsupervised adversarial deep domain adaptation method for potato defects classification

Pierre Beauseroy, Sofia Marino, André Smolarz, 2020, Comput. Electron. Agric..

General solution and learning method for binary classification with performance constraints

Pierre Beauseroy, Abdenour Bounsiar, Edith Grall-Maës, 2008, Pattern Recognit. Lett..

X‐ray microtomography reveals a lattice‐like network within aortic elastic lamellae

P. Beauseroy, R. Cogranne, A. Bodey, 2021, FASEB journal : official publication of the Federation of American Societies for Experimental Biology.

Elastic strips normalisation model for higher iris recognition performance

Pierre Beauseroy, Bassam Daya, Alaa Hilal, 2014, IET Biom..

Real shape inner iris boundary segmentation using active contour without edges

P. Beauseroy, B. Daya, A. Hilal, 2012, 2012 International Conference on Audio, Language and Image Processing.

Identifying Discriminatory Characteristics Location in an Iris Template

Pierre Beauseroy, Bassam Daya, Alaa Hilal, 2013, ICSS.

Learning Kernels from genetic profiles to discriminate tumor subtypes

P. Beauseroy, Martín Palazzo, P. Yankilevich, 2018 .

Unsupervised feature selection for tumor profiles using autoencoders and kernel methods

Pierre Beauseroy, Martin Palazzo, Patricio Yankilevich, 2020, 2020 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB).

${l_p}$-norms in One-Class Classification for Intrusion Detection in SCADA Systems

Paul Honeine, Pierre Beauseroy, Patric Nader, 2014, IEEE Transactions on Industrial Informatics.

Sequential detection of a total instantaneous blockage occurred in a single subassembly of a sodium-cooled fast reactor

Pierre Beauseroy, Fouzi Harrou, Igor Nikiforov, 2020 .

Mahalanobis-based one-class classification

Paul Honeine, Pierre Beauseroy, Patric Nader, 2014, 2014 IEEE International Workshop on Machine Learning for Signal Processing (MLSP).

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

Pierre Beauseroy, Martin Palazzo, Patricio Yankilevich, 2020, ArXiv.

A Normalized Criterion of Spatial Clustering in Model-Based Framework

Pierre Beauseroy, X. Z. Wang, Edith Grall-Maës, 2012, 2012 11th International Conference on Machine Learning and Applications.

A pan-cancer somatic mutation embedding using autoencoders

Pierre Beauseroy, Patricio Yankilevich, Martin Palazzo, 2019, BMC Bioinformatics.

Traffic flow estimation using acoustic signal

Nicolas Lefebvre, Pierre Beauseroy, Xiandong Chen, 2017, Eng. Appl. Artif. Intell..

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

Paul Honeine, Pierre Beauseroy, Patric Nader, 2014, CRITIS.

Abnormal Events Detection for Infrastructure Security using Key Metrics

Pierre Beauseroy, Edith Grall-Maës, Van Khoa Le, 2018, ICPRAM.

One-class SVM in multi-task learning

Didier Maquin, José Ragot, Pierre Beauseroy, 2011 .

Deep Learning-based Method for Classifying and Localizing Potato Blemishes

Pierre Beauseroy, Sofia Marino, André Smolarz, 2019, ICPRAM.

One-Class Classification Framework Based on Shrinkage Methods

Paul Honeine, Pierre Beauseroy, Patric Nader, 2018, J. Signal Process. Syst..

Shrinkage methods for one-class classification

Paul Honeine, Pierre Beauseroy, Patric Nader, 2015, 2015 23rd European Signal Processing Conference (EUSIPCO).

Path for Kernel Adaptive One-Class Support Vector Machine

Pierre Beauseroy, Van Khoa Le, P. Beauseroy, 2015, 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA).

Estimation of monitoring indicators using regression methods application to turbofan start sequence

Antoine Grall, Pierre Beauseroy, Jean-Remi Masse, 2009 .

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

Pierre Beauseroy, Edith Grall-Maës, E. Grall-Maës, 2002, IEEE Trans. Signal Process..

Dynamic Decision Method Based on Contextual Selection of Representation Subspaces

Yuan Dong, Pierre Beauseroy, Xiyan He, 2010, 2010 Ninth International Conference on Machine Learning and Applications.

New technique for feature selection: Combination between elastic net and relief

Mohamad Khalil, Pierre Beauseroy, Nicole Challita, 2015, 2015 Third International Conference on Technological Advances in Electrical, Electronics and Computer Engineering (TAEECE).