Marie-Véronique Le Lann - researchr alias

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Viewing Publication 1 - 21 from 21

2021

Visual interpretation of CNN decision-making process using Simulated Brain MRIEdouard Villain, Giulia Maria Mattia, Federico Nemmi, Patrice Péran, Xavier Franceries, Marie-Véronique Le Lann. cbms 2021: 515-520 [doi]

2020

A Multi-phase Iterative Approach for Anomaly Detection and Its Agnostic EvaluationKévin Ducharlet, Louise Travé-Massuyès, Marie-Véronique Le Lann, Youssef Miloudi. ieaaie 2020: 505-517 [doi]

2015

Membership-margin based feature selection for mixed type and high-dimensional data: Theory and applicationsLyamine Hedjazi, Joseph Aguilar-Martin, Marie-Véronique Le Lann, Tatiana Kempowsky-Hamon. isci, 322:174-196, 2015. [doi]

Processing Measure Uncertainty into Fuzzy ClassifierThomas Monrousseau, Louise Travé-Massuyès, Marie-Véronique Le Lann. safeprocess 2015: 269-274 [doi]

Applied Multi-Layer Clustering to the Diagnosis of Complex Agro-SystemsElisa Roux, Louise Travé-Massuyès, Marie-Véronique Le Lann. safeprocess 2015: 19-26 [doi]

2014

Situation prediction based on fuzzy clustering for industrial complex processesClaudia Isaza, Henry O. Sarmiento, Tatiana Kempowsky-Hamon, Marie-Véronique Le Lann. isci, 279:785-804, 2014. [doi]

2013

Automaton based on fuzzy clustering methods for monitoring industrial processesJavier F. Botía, Claudia Isaza, Tatiana Kempowsky, Marie-Véronique Le Lann, Joseph Aguilar-Martin. eaai, 26(4):1211-1220, 2013. [doi]

Symbolic Data Analysis to Defy Low Signal-to-Noise Ratio in Microarray Data for Breast Cancer PrognosisLyamine Hedjazi, Marie-Véronique Le Lann, Tatiana Kempowsky, Florence Dalenc, Joseph Aguilar-Martin, Gilles Favre. jcb, 20(8):610-620, 2013. [doi]

2012

Towards a Unified Principle for Reasoning about Heterogeneous Data: a Fuzzy Logic FrameworkLyamine Hedjazi, Joseph Aguilar-Martin, Marie-Véronique Le Lann, Tatiana Kempowsky. ijufks, 20(2):281-302, 2012. [doi]

2011

2010

Sensor placement and fault detection using an efficient fuzzy feature selection approachLyamine Hedjazi, Tatiana Kempowsky-Hamon, Laurene Despenes, Marie-Véronique Le Lann, Sebastien Elgue, Joseph Aguilar-Martin. cdc 2010: 6827-6832 [doi]

Prognosis of Breast Cancer based on a Fuzzy Classification MethodLyamine Hedjazi, Tatiana Kempowsky-Hamon, Marie-Véronique Le Lann, Joseph Aguilar-Martin. biostec 2010: 123-130

2009

Model-based fault diagnosis for hybrid systems: Application on chemical processesNelly Olivier-Maget, Gilles Hétreux, Jean-Marc Le Lann, Marie-Véronique Le Lann. cce, 33(10):1617-1630, 2009. [doi]

2007

Process Monitoring Using Residuals and Fuzzy Classification with Learning CapabilitiesJoseph Aguilar-Martin, Claudia Isaza, Eduard Diez-Lledo, Marie-Véronique Le Lann, Julio Waissman Vilanova. ifsa 2007: 275-284 [doi]

2006

Development of a Neural Sensor for On-Line Prediction of Coagulant Dosage in a Potable Water Treatment Plant in the Way of Its DiagnosisHector Hernandez, Marie-Véronique Le Lann. sbia 2006: 249-257 [doi]

An Optimization Method for the Data Space Partition Obtained by Classification Techniques for the Monitoring of Dynamic ProcessesClaudia Isaza, Joseph Aguilar-Martin, Marie-Véronique Le Lann, J. Aguilar, A. Rios-Bolivar. ccia 2006: 80-87

Use of an Object Oriented Dynamic Hybrid Simulator for the Monitoring of Industrial ProcessesNelly Olivier, Gilles Hétreux, Jean-Marc Le Lann, Marie-Véronique Le Lann. adhs 2006: 235-240 [doi]

2002

Application of iterative learning control to an exothermic semibatch chemical reactorMouhiba Mezghani, Gilles Roux, Michel Cabassud, Marie-Véronique Le Lann, Boutaieb Dahhou, G. Casamatta. tcst, 10(6):822-834, 2002. [doi]

1999

Automation of an industrial pilot bioreactor based on model predictive control with nonlinear parameter estimationKarlheinz Preubeta, Marie-Véronique Le Lann, Jacques Proth. eucc 1999: 1021-1026 [doi]

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