Edith Grall-Maës

According to our database1, Edith Grall-Maës authored at least 29 papers between 2002 and 2023.

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

Timeline

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Bibliography

2023
Central Arterial Dynamic Evaluation from Peripheral Blood Pressure Waveforms Using CycleGAN: An In Silico Approach.
Sensors, February, 2023

Neural Network-Based Approach for Supervised Nonlinear Feature Selection.
Proceedings of the 15th International Joint Conference on Computational Intelligence, 2023

2021
Blood Pressure Morphology Assessment from Photoplethysmogram and Demographic Information Using Deep Learning with Attention Mechanism.
Sensors, 2021

A Fully Automatic and Efficient Methodology for Peptide Activity Identification Using Their 3D Conformations.
IEEE Access, 2021

A Delineator for Arterial Blood Pressure Waveform Analysis Based on a Deep Learning Technique.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Arterial-Ventricular Coupling Impairment is Evidenced in Both Normal and Ischemic Subjects by Applying Cluster Analysis.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

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

2017
Linear Discriminant Analysis based on Fast Approximate SVD.
Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods, 2017

Transfer Learning for Large Scale Data Using Subspace Alignment.
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

2016
Criteria for Mixture-Model Clustering with Side-Information.
Proceedings of the Pattern Recognition Applications and Methods, 2016

Assessing the Number of Clusters in a Mixture Model with Side-information.
Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods, 2016

Linear Discriminant Analysis for Large-Scale Data: Application on Text and Image Data.
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

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

Linear KernelPCA and K-Means Clustering Using New Estimated Eigenvectors of the Sample Covariance Matrix.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

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

Spatial stochastic process clustering using a local a posteriori probability.
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

2012
A Normalized Criterion of Spatial Clustering in Model-Based Framework.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

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
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

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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