Pierre Beauseroy

According to our database1, Pierre Beauseroy authored at least 48 papers between 2002 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Neural Network-Based Approach for Supervised Nonlinear Feature Selection.
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.
IEEE Access, 2021

2020
Latent regularization for feature selection using kernel methods in tumor classification.
CoRR, 2020

Unsupervised adversarial deep domain adaptation method for potato defects classification.
Comput. Electron. Agric., 2020

Unsupervised feature selection for tumor profiles using autoencoders and kernel methods.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2020

2019
Weakly-supervised learning approach for potato defects segmentation.
Eng. Appl. Artif. Intell., 2019

A pan-cancer somatic mutation embedding using autoencoders.
BMC Bioinform., 2019

Deep Learning-based Method for Classifying and Localizing Potato Blemishes.
Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods, 2019

2018
One-Class Classification Framework Based on Shrinkage Methods.
J. Signal Process. Syst., 2018

Efficiency and stability of EN-ReliefF, a new method for feature selection.
Int. J. Comput. Aided Eng. Technol., 2018

Transfer Learning to Adapt One Class SVM Detection to Additional Features.
Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods, 2018

Abnormal Events Detection for Infrastructure Security using Key Metrics.
Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods, 2018

Abnormal trajectory detection for security infrastructure.
Proceedings of the 2nd International Conference on Digital Signal Processing, 2018

Efficiency of New Feature Selection Method Based on Neural Network.
Proceedings of the 2018 International Conference on Computer and Applications (ICCA), 2018

Constant False Alarm Rate for Online one Class Svm Learning.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Transfer learning for one class SVM adaptation to limited data distribution change.
Pattern Recognit. Lett., 2017

Traffic flow estimation using acoustic signal.
Eng. Appl. Artif. Intell., 2017

2016
Multi-task learning for one-class SVM with additional new features.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015
Dynamic Feature Subspaces Selection for Decision in a Nonstationary Environment.
Int. J. Pattern Recognit. Artif. Intell., 2015

Theoretical properties and implementation of the one-sided mean kernel for time series.
Neurocomputing, 2015

Path for Kernel Adaptive One-Class Support Vector Machine.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

Shrinkage methods for one-class classification.
Proceedings of the 23rd European Signal Processing Conference, 2015

Online One-class Classification for Intrusion Detection Based on the Mahalanobis Distance.
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

2014
l<sub>p</sub>-norms in One-Class Classification for Intrusion Detection in SCADA Systems.
IEEE Trans. Ind. Informatics, 2014

Multi-task learning with one-class SVM.
Neurocomputing, 2014

Elastic strips normalisation model for higher iris recognition performance.
IET Biom., 2014

Mahalanobis-based one-class classification.
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.
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

The Role of One-Class Classification in Detecting Cyberattacks in Critical Infrastructures.
Proceedings of the Critical Information Infrastructures Security, 2014

2013
Identifying Discriminatory Characteristics Location in an Iris Template.
Proceedings of the Advances in Systems Science, 2013

Intrusion detection in scada systems using one-class classification.
Proceedings of the 21st European Signal Processing Conference, 2013

2012
Improved Iris Recognition using Parabolic Normalization and Multi-layer Perceptron Neural Network.
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.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

A robust classification method using combined classifiers in a nonstationary environment.
Proceedings of the 20th European Signal Processing Conference, 2012

2010
Feature subspaces selection via one-class SVM: Application to textured image segmentation.
Proceedings of the 2nd International Conference on Image Processing Theory Tools and Applications, 2010

Dynamic Decision Method Based on Contextual Selection of Representation Subspaces.
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

2009
Optimal Decision Rule with Class-Selective Rejection and Performance Constraints.
IEEE Trans. Pattern Anal. Mach. Intell., 2009

Gaussian Mixture Models for multiclass problems with performance constraints.
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.
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.
Pattern Recognit. Lett., 2008

Supervised learning rule selection for multiclass decision with performance constraints.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

A Supervised Decision Rule for Multiclass Problems Minimizing a Loss Function.
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.
Proceedings of the International Conference on Image Processing, 2008

2006
Multilabel Classification Rule with Performance Constraints.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Fast Training and Efficient Linear Learning Machine.
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.
Proceedings of the 14th European Signal Processing Conference, 2006

2005
A straightforward SVM approach for classification with constraints.
Proceedings of the 13th European Signal Processing Conference, 2005

2002
Mutual information-based feature extraction on the time-frequency plane.
IEEE Trans. Signal Process., 2002


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