Edith Grall-Maës

31 papers B 3C 9Journal 9Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Nonlinear Feature Selection for Multi-target Regression Problems. SN Comput. Sci. Mamadou Kanouté, Edith Grall-Maës, Pierre Beauseroy
2024	C	`conf`	Unsupervised Feature Selection Using Extreme Learning Machine. IJCCI Mamadou Kanouté, Edith Grall-Maës, Pierre Beauseroy
2023	J	`jnl`	Central Arterial Dynamic Evaluation from Peripheral Blood Pressure Waveforms Using CycleGAN: An In Silico Approach. Sensors Nicolas Aguirre, Leandro J. Cymberknop, Edith Grall-Maës, Eugenia Ipar, Ricardo L. Armentano
2023	C	`conf`	Neural Network-Based Approach for Supervised Nonlinear Feature Selection. IJCCI Mamadou Kanouté, Edith Grall-Maës, Pierre Beauseroy
2021	—	`conf`	A Delineator for Arterial Blood Pressure Waveform Analysis Based on a Deep Learning Technique. EMBC Nicolas Aguirre, Edith Grall-Maës, Leandro J. Cymberknop, Ricardo L. Armentano
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
2021	—	`conf`	Arterial-Ventricular Coupling Impairment is Evidenced in Both Normal and Ischemic Subjects by Applying Cluster Analysis. EMBC Nicolas Aguirre, Leandro J. Cymberknop, Ignacio Farro Ventura, Carlos Américo, Fabian Martinez, Edith Grall-Maës, Natalia Lluberas, Gabriel Parma, Julia Aramburu, Ricardo L. Armentano
2021	J	`jnl`	Blood Pressure Morphology Assessment from Photoplethysmogram and Demographic Information Using Deep Learning with Attention Mechanism. Sensors Nicolas Aguirre, Edith Grall-Maës, Leandro J. Cymberknop, Ricardo L. Armentano
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
2017	C	`conf`	Linear Discriminant Analysis based on Fast Approximate SVD. ICPRAM Nassara Elhadji Ille Gado, Edith Grall-Maës, Malika Kharouf
2017	C	`conf`	Transfer Learning for Large Scale Data Using Subspace Alignment. ICMLA Nassara Elhadji-Ille-Gado, Edith Grall-Maës, Malika Kharouf
2016	C	`conf`	Assessing the Number of Clusters in a Mixture Model with Side-information. ICPRAM Edith Grall-Maës, Duc Tung Dao
2016	—	`conf`	Criteria for Mixture-Model Clustering with Side-Information. ICPRAM (Revised Selected Papers) Edith Grall-Maës, Duc Tung Dao
2016	C	`conf`	Linear Discriminant Analysis for Large-Scale Data: Application on Text and Image Data. ICMLA Nassara Elhadji Ille Gado, Edith Grall-Maës, Malika Kharouf
2015	C	`conf`	Linear KernelPCA and K-Means Clustering Using New Estimated Eigenvectors of the Sample Covariance Matrix. ICMLA Nassara Elhadji Ille Gado, Edith Grall-Maës, Malika Kharouf
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`	Multi-task learning with one-class SVM. Neurocomputing Xiyan He, Gilles Mourot, Didier Maquin, José Ragot, Pierre Beauseroy, André Smolarz, Edith Grall-Maës
2014	—	`conf`	Spatial stochastic process clustering using a local a posteriori probability. MLSP Edith Grall-Maës
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
2012	—	`conf`	A Normalized Criterion of Spatial Clustering in Model-Based Framework. ICMLA (1) X. Z. Wang, Edith Grall-Maës, Pierre Beauseroy
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`	Supervised learning rule selection for multiclass decision with performance constraints. ICPR Nisrine Jrad, Edith Grall-Maës, Pierre Beauseroy
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