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Edith Grall-Maës
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2020 – today
- 2023
- [j8]Nicolas Aguirre, Leandro J. Cymberknop, Edith Grall-Maës, Eugenia Ipar, Ricardo L. Armentano:
Central Arterial Dynamic Evaluation from Peripheral Blood Pressure Waveforms Using CycleGAN: An In Silico Approach. Sensors 23(3): 1559 (2023) - [c21]Mamadou Kanouté, Edith Grall-Maës, Pierre Beauseroy:
Neural Network-Based Approach for Supervised Nonlinear Feature Selection. IJCCI 2023: 431-439 - 2021
- [j7]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: 92143-92156 (2021) - [j6]Nicolas Aguirre, Edith Grall-Maës, Leandro J. Cymberknop, Ricardo L. Armentano:
Blood Pressure Morphology Assessment from Photoplethysmogram and Demographic Information Using Deep Learning with Attention Mechanism. Sensors 21(6): 2167 (2021) - [c20]Nicolas Aguirre, Edith Grall-Maës, Leandro J. Cymberknop, Ricardo L. Armentano:
A Delineator for Arterial Blood Pressure Waveform Analysis Based on a Deep Learning Technique. EMBC 2021: 56-59 - [c19]Nicolas Aguirre, Leandro J. Cymberknop, Ignacio Farro Ventura, Carlos Américo, Fabian Martinez, Edith Grall-Maës, Natalia Lluberas, Gabriel Parma, Julia Aramburu, Ricardo L. Armentano:
Arterial-Ventricular Coupling Impairment is Evidenced in Both Normal and Ischemic Subjects by Applying Cluster Analysis. EMBC 2021: 5590-5593
2010 – 2019
- 2018
- [c18]Van Khoa Le, Pierre Beauseroy, Edith Grall-Maës:
Abnormal trajectory detection for security infrastructure. ICDSP 2018: 1-5 - [c17]Van Khoa Le, Edith Grall-Maës, Pierre Beauseroy:
Abnormal Events Detection for Infrastructure Security using Key Metrics. ICPRAM 2018: 284-290 - 2017
- [c16]Nassara Elhadji-Ille-Gado, Edith Grall-Maës, Malika Kharouf:
Transfer Learning for Large Scale Data Using Subspace Alignment. ICMLA 2017: 1006-1010 - [c15]Nassara Elhadji Ille Gado, Edith Grall-Maës, Malika Kharouf:
Linear Discriminant Analysis based on Fast Approximate SVD. ICPRAM 2017: 359-365 - 2016
- [c14]Nassara Elhadji Ille Gado, Edith Grall-Maës, Malika Kharouf:
Linear Discriminant Analysis for Large-Scale Data: Application on Text and Image Data. ICMLA 2016: 961-964 - [c13]Edith Grall-Maës, Duc Tung Dao:
Assessing the Number of Clusters in a Mixture Model with Side-information. ICPRAM 2016: 41-47 - [c12]Edith Grall-Maës, Duc Tung Dao:
Criteria for Mixture-Model Clustering with Side-Information. ICPRAM (Revised Selected Papers) 2016: 43-59 - 2015
- [j5]Nicolas Chrysanthos, Pierre Beauseroy, Hichem Snoussi, Edith Grall-Maës:
Theoretical properties and implementation of the one-sided mean kernel for time series. Neurocomputing 169: 196-204 (2015) - [c11]Nassara Elhadji Ille Gado, Edith Grall-Maës, Malika Kharouf:
Linear KernelPCA and K-Means Clustering Using New Estimated Eigenvectors of the Sample Covariance Matrix. ICMLA 2015: 386-389 - 2014
- [j4]Xiyan He, Gilles Mourot, Didier Maquin, José Ragot, Pierre Beauseroy, André Smolarz, Edith Grall-Maës:
Multi-task learning with one-class SVM. Neurocomputing 133: 416-426 (2014) - [c10]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 - [c9]Edith Grall-Maës:
Spatial stochastic process clustering using a local a posteriori probability. MLSP 2014: 1-6 - 2012
- [c8]X. Z. Wang, Edith Grall-Maës, Pierre Beauseroy:
A Normalized Criterion of Spatial Clustering in Model-Based Framework. ICMLA (1) 2012: 542-547
2000 – 2009
- 2009
- [j3]Edith Grall-Maës, Pierre Beauseroy:
Optimal Decision Rule with Class-Selective Rejection and Performance Constraints. IEEE Trans. Pattern Anal. Mach. Intell. 31(11): 2073-2082 (2009) - [c7]Nisrine Jrad, Edith Grall-Maës, Pierre Beauseroy:
Gaussian Mixture Models for multiclass problems with performance constraints. ESANN 2009 - 2008
- [j2]Abdenour Bounsiar, Pierre Beauseroy, Edith Grall-Maës:
General solution and learning method for binary classification with performance constraints. Pattern Recognit. Lett. 29(10): 1455-1465 (2008) - [c6]Nisrine Jrad, Edith Grall-Maës, Pierre Beauseroy:
A Supervised Decision Rule for Multiclass Problems Minimizing a Loss Function. ICMLA 2008: 48-53 - [c5]Nisrine Jrad, Edith Grall-Maës, Pierre Beauseroy:
Supervised learning rule selection for multiclass decision with performance constraints. ICPR 2008: 1-4 - 2006
- [c4]Edith Grall-Maës, Pierre Beauseroy, Abdenour Bounsiar:
Quality assessment of a supervised multilabel classification rule with performance constraints. EUSIPCO 2006: 1-5 - [c3]Abdenour Bounsiar, Pierre Beauseroy, Edith Grall-Maës:
Fast Training and Efficient Linear Learning Machine. ICASSP (5) 2006: 777-780 - [c2]Edith Grall-Maës, Pierre Beauseroy, Abdenour Bounsiar:
Multilabel Classification Rule with Performance Constraints. ICASSP (3) 2006: 784-787 - 2005
- [c1]Abdenour Bounsiar, Pierre Beauseroy, Edith Grall-Maës:
A straightforward SVM approach for classification with constraints. EUSIPCO 2005: 1-4 - 2002
- [j1]Edith Grall-Maës, Pierre Beauseroy:
Mutual information-based feature extraction on the time-frequency plane. IEEE Trans. Signal Process. 50(4): 779-790 (2002)
Coauthor Index
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