Marie-Véronique Le Lann

According to our database1, Marie-Véronique Le Lann authored at least 28 papers between 1999 and 2024.

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

Timeline

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Bibliography

2024
Investigating the discrimination ability of 3D convolutional neural networks applied to altered brain MRI parametric maps.
Artif. Intell. Medicine, 2024

2021
Visual interpretation of CNN decision-making process using Simulated Brain MRI.
Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021

2020
A Multi-phase Iterative Approach for Anomaly Detection and Its Agnostic Evaluation.
Proceedings of the Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices, 2020

2019
Diagnostic de l'atrophie multi-systématisée par l'utilisation de réseaux de neurones convolutifs multi-modaux à 3 dimensions.
Proceedings of the Actes des 17èmes Rencontres des Jeunes Chercheurs en Intelligence Artificielle, 2019

2018
Mapping Chronicles to a <i>K</i>-dimensional Euclidean Space via Random Projections.
Proceedings of the 14th IEEE International Conference on Automation Science and Engineering, 2018

2015
Membership-margin based feature selection for mixed type and high-dimensional data: Theory and applications.
Inf. Sci., 2015

Applied Multi-Layer Clustering to the Diagnosis of Complex Agro-Systems.
Proceedings of the 26th International Workshop on Principles of Diagnosis (DX-2015) co-located with 9th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes (Safeprocess 2015), Paris, France, August 31, 2015

Processing Measure Uncertainty into Fuzzy Classifier.
Proceedings of the 26th International Workshop on Principles of Diagnosis (DX-2015) co-located with 9th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes (Safeprocess 2015), Paris, France, August 31, 2015

2014
Situation prediction based on fuzzy clustering for industrial complex processes.
Inf. Sci., 2014

2013
Symbolic Data Analysis to Defy Low Signal-to-Noise Ratio in Microarray Data for Breast Cancer Prognosis.
J. Comput. Biol., 2013

Automaton based on fuzzy clustering methods for monitoring industrial processes.
Eng. Appl. Artif. Intell., 2013

2012
Towards a Unified Principle for Reasoning about Heterogeneous Data: a Fuzzy Logic Framework.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2012

2011
Similarity-margin based feature selection for symbolic interval data.
Pattern Recognit. Lett., 2011

Data validation and missing data reconstruction using self-organizing map for water treatment.
Neural Comput. Appl., 2011

Improved Breast Cancer Prognosis based on a Hybrid Marker Selection Approach.
Proceedings of the BIOINFORMATICS 2011, 2011

2010
Sensor placement and fault detection using an efficient fuzzy feature selection approach.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Prognosis of Breast Cancer based on a Fuzzy Classification Method.
Proceedings of the BIOINFORMATICS 2010, 2010

2009
Model-based fault diagnosis for hybrid systems: Application on chemical processes.
Comput. Chem. Eng., 2009

2007
Process Monitoring Using Residuals and Fuzzy Classification with Learning Capabilities.
Proceedings of the Theoretical Advances and Applications of Fuzzy Logic and Soft Computing, 2007

2006
Predictive functional control for the temperature control of a chemical batch reactor.
Comput. Chem. Eng., 2006

Development of a Neural Sensor for On-Line Prediction of Coagulant Dosage in a Potable Water Treatment Plant in the Way of Its Diagnosis.
Proceedings of the Advances in Artificial Intelligence, 2006

An Optimization Method for the Data Space Partition Obtained by Classification Techniques for the Monitoring of Dynamic Processes.
Proceedings of the Artificial Intelligence Research and Development, 2006

Use of an Object Oriented Dynamic Hybrid Simulator for the Monitoring of Industrial Processes.
Proceedings of the 2nd IFAC Conference on Analysis and Design of Hybrid Systems, 2006

2002
Application of iterative learning control to an exothermic semibatch chemical reactor.
IEEE Trans. Control. Syst. Technol., 2002

2000
Neural Network Structures for Optimal Control of LPCVD Reactors.
Neural Comput. Appl., 2000

Multivariable Control of a Pulsed Liquid-Liquid Extraction Column by Neural Networks.
Neural Comput. Appl., 2000

1999
Non-linear model predictive control for thermal control of a semi - batch reactor: Experimental and simulation results.
Proceedings of the 5th European Control Conference, 1999

Automation of an industrial pilot bioreactor based on model predictive control with nonlinear parameter estimation.
Proceedings of the 5th European Control Conference, 1999


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