Philippe Thomas

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 26

Top Topics

Layer Perceptron

Pruning Algorithm

Top Venues

Publications

Lisa Raithel, Hui-Syuan Yeh, Shuntaro Yada, Cyril Grouin, Thomas Lavergne, Aurélie Névéol, Patrick Paroubek, Philippe Thomas, Tomohiro Nishiyama, Sebastian Möller, Eiji Aramaki, Yuji Matsumoto, Roland Roller, Pierre Zweigenbaum
A Dataset for Pharmacovigilance in German, French, and Japanese: Annotating Adverse Drug Reactions across Languages. CoRR (2024)
Lisa Raithel, Hui-Syuan Yeh, Shuntaro Yada, Cyril Grouin, Thomas Lavergne, Aurélie Névéol, Patrick Paroubek, Philippe Thomas, Tomohiro Nishiyama, Sebastian Möller, Eiji Aramaki, Yuji Matsumoto, Roland Roller, Pierre Zweigenbaum
A Dataset for Pharmacovigilance in German, French, and Japanese: Annotating Adverse Drug Reactions across Languages. LREC/COLING (2024)
Vincent Martineau, Michael Morin, Jonathan Gaudreault, Philippe Thomas, Hind Bril El Haouzi, Mohammed Khachan
An image is worth 10,000 points: Neural network architectures and alternative log representations for lumber production prediction. Comput. Ind. 151 (2023)
Sylvain Chabanet, Philippe Thomas, Hind Bril El Haouzi
MLP Based on Dissimilarity Features: An Application to Wood Sawing Simulator Metamodeling. SN Comput. Sci. 4 (4) (2023)
Sylvain Chabanet, Hind Bril El Haouzi, Michael Morin, Jonathan Gaudreault, Philippe Thomas
Toward digital twins for sawmill production planning and control: benefits, opportunities, and challenges. Int. J. Prod. Res. 61 (7) (2023)
Sylvain Chabanet, Philippe Thomas, Hind Bril El Haouzi
CoreSelect: A New Approach to Select Landmarks for Dissimilarity Space Embedding. IJCCI (2023)
Sylvain Chabanet, Hind Bril El Haouzi, Philippe Thomas
Toward a Sawmill Digital Shadow Based on Coupled Simulation and Supervised Learning Models. SOHOMA (2022)
Valentin Chazelle, Philippe Thomas, Hind Bril El-Haouzi, Christophe Heleu
A MLP for Dryer Energy Consumption Prediction in Wood Panel Industry. IJCCI (2022)
Sylvain Chabanet, Valentin Chazelle, Philippe Thomas, Hind Bril El Haouzi
Dissimilarity to Class Medoids as Features for 3D Point Cloud Classification. APMS (3) (2021)
Sylvain Chabanet, Hind Bril El Haouzi, Philippe Thomas
Coupling digital simulation and machine learning metamodel through an active learning approach in Industry 4.0 context. Comput. Ind. 133 (2021)
Emmanuel Zimmermann, Tsegay Tesfay Mezgebe, Hind Bril El Haouzi, Philippe Thomas, Rémi Pannequin, Mélanie Noyel
Multicriteria decision-making method for scheduling problem based on smart batches and their quality prediction capability. Comput. Ind. 133 (2021)
Sylvain Chabanet, Philippe Thomas, Hind Bril El Haouzi
Medoid-based MLP: An Application to Wood Sawing Simulator Metamodeling. IJCCI (2021)
Vincent Martineau, Michael Morin, Jonathan Gaudreault, Philippe Thomas, Hind Bril El Haouzi
Neural Network Architectures and Feature Extraction for Lumber Production Prediction. Canadian Conference on AI (2021)
Julie Bibaud-Alves, Philippe Thomas, Hind Bril El Haouzi
Demand Forecasting using Artificial Neuronal Networks and Time Series: Application to a French Furniture Manufacturer Case Study. IJCCI (2019)
Philippe Thomas, Marie-Christine Suhner, William Derigent
Relearning procedure to adapt pollutant prediction neural model: Choice of relearning algorithm. IJCNN (2019)
Philippe Thomas, Hind Bril El Haouzi, Marie-Christine Suhner, André Thomas, Emmanuel Zimmermann, Mélanie Noyel
Using a Classifier Ensemble for Proactive Quality Monitoring and Control: the impact of the choice of classifiers types, selection criterion, and fusion process. CoRR (2018)
Julie Bibaud-Alves, Hind Bril El Haouzi, Philippe Thomas, Vincent Boucinha
Toward a Sustainable New Product Development Approach Based on Industry 4.0 Assets. SOHOMA (2018)
Philippe Thomas, Hind Bril El Haouzi, Marie-Christine Suhner, André Thomas, Emmanuel Zimmermann, Mélanie Noyel
Using a classifier ensemble for proactive quality monitoring and control: The impact of the choice of classifiers types, selection criterion, and fusion process. Comput. Ind. 99 (2018)
Emmanuel Zimmermann, Hind Bril El Haouzi, Philippe Thomas, Rémi Pannequin, Mélanie Noyel
Using Analytic Hierarchical Process for Scheduling Problems Based on Smart Lots and Their Quality Prediction Capability. SOHOMA (2018)
Emmanuel Zimmermann, Hind Bril El Haouzi, Philippe Thomas, Rémi Pannequin, Mélanie Noyel, André Thomas
A Case Study of Intelligent Manufacturing Control Based on Multi-agents System to Deal with Batching and Sequencing on Rework Context. SOHOMA (2017)
Emmanuel Zimmermann, Hind Bril El Haouzi, Philippe Thomas, André Thomas, Mélanie Noyel
A batching and scheduling optimisation for a cutting work-center: Acta-Mobilier case study. CoRR (2017)
Philippe Thomas, Marie-Christine Suhner, Emmanuel Zimmermann, Hind Bril El Haouzi, André Thomas, Mélanie Noyel
Neural Network Inverse Model for Quality Monitoring - Application to a High Quality Lackering Process. IJCCI (2017)
Cyrine Selma, Hind Bril El Haouzi, Philippe Thomas, Jonathan Gaudreault, Michael Morin
An Iterative Closest Point Method for Measuring the Level of Similarity of 3D Log Scans in Wood Industry. SOHOMA (2017)
Cyrine Selma, Hind Bril El Haouzi, Philippe Thomas, Jonathan Gaudreault, Michael Morin
An iterative closest point method for measuring the level of similarity of 3d log scans in wood industry. CoRR (2017)
Marie-Christine Suhner, Philippe Thomas
Impact of Hidden Weights Choice on Accuracy of MLP with Randomly Fixed Hidden Neurons for Regression Problems. IJCCI (2017)
Mélanie Noyel, Philippe Thomas, André Thomas, Patrick Charpentier
Reconfiguration process for neuronal classification models: Application to a quality monitoring problem. Comput. Ind. 83 (2016)
Dimitri Lefebvre, Edouard Leclercq, Fabrice Druaux, Philippe Thomas
Gradient-based controllers for timed continuous Petri nets. Int. J. Syst. Sci. 46 (9) (2015)
Philippe Thomas
Perceptron Learning for Classification Problems. IJCCI (NCTA) (2015)
Philippe Thomas, Marie-Christine Suhner
A New Multilayer Perceptron Pruning Algorithm for Classification and Regression Applications. Neural Process. Lett. 42 (2) (2015)
Philippe Thomas, Marie-Christine Suhner, André Thomas
CART for Supply Chain Simulation Models Reduction - Application to a Sawmill Internal Supply Chain. APMS (3) (2014)
Mélanie Noyel, Philippe Thomas, André Thomas, Patrick Charpentier, Thomas Brault
Flow Disturbance Analysis in Workshops with High Reworks Rate. APMS (3) (2014)
Philippe Thomas, William Derigent, Marie-Christine Suhner
Prediction Model Adaptation Thanks to Control Chart Monitoring - Application to Pollutants Prediction. IJCCI (NCTA) (2014)
Philippe Thomas, Marie-Christine Suhner, André Thomas
Variance Sensitivity Analysis of Parameters for Pruning of a Multilayer Perceptron: Application to a Sawmill Supply Chain Simulation Model. Adv. Artif. Neural Syst. 2013 (2013)
Philippe Thomas, Mélanie Noyel, Marie-Christine Suhner, Patrick Charpentier, André Thomas
Neural Networks Ensemble for Quality Monitoring. IJCCI (2013)
Mélanie Noyel, Philippe Thomas, Patrick Charpentier, André Thomas, Bruno Beaupretre
Improving production process performance thanks to neuronal analysis. CoRR (2013)
Philippe Thomas, André Thomas
Multilayer perceptron for simulation models reduction: Application to a sawmill workshop. Eng. Appl. Artif. Intell. 24 (4) (2011)
Philippe Thomas, André Thomas
How deals with discrete data for the reduction of simulation models using neural network CoRR (2009)
Philippe Thomas, André Thomas
Sélection de la structure d'un perceptron multicouches pour la réduction dun modèle de simulation d'une scierie CoRR (2008)
Philippe Thomas, Denise Choffel, André Thomas
Simulation Reduction Models Approach Using Neural Network. UKSim (2008)
Philippe Thomas, André Thomas
Elagage d'un perceptron multicouches : utilisation de l'analyse de la variance de la sensibilité des paramètres CoRR (2008)
Dimitri Lefebvre, Philippe Thomas
Parameters Estimation For Timed And Continuous Petri Nets: Application To The Identification And Monitoring Of Hybrid Systems. Cybern. Syst. 36 (3) (2005)
Chérif Tolba, Dimitri Lefebvre, Philippe Thomas, Abdellah El Moudni
Continuous and timed Petri nets for the macroscopic and microscopic traffic flow modelling. Simul. Model. Pract. Theory 13 (5) (2005)
Chérif Tolba, Philippe Thomas, Abdellah El Moudni, Dimitri Lefebvre
Performances evaluation of the traffic control in a single crossroad by Petri nets. ETFA (2) (2003)
Dimitri Lefebvre, Edouard Leclercq, Fabrice Druaux, Philippe Thomas
Source and Sink Transitions Controllers for Continuous Petri Nets: A Gradient-Based Approach. ADHS (2003)
Philippe Thomas
System design through MATLAB, control toolbox and SIMULINK: Krishna K. Singh and Gayatri Agnihotri; Springer, London, 2001, ISBN 1-85233-337-5. Autom. 38 (3) (2002)
Nadhir Messai, Philippe Thomas, Dimitri Lefebvre, Abdellah El Moudni
Optimal neural networks architectures for the flow-density relationships of traffic models. Math. Comput. Simul. 60 (3-5) (2002)
Philippe Thomas, Dimitri Lefebvre
Fault detection and isolation in non-linear systems by using oversized neural networks. Math. Comput. Simul. 60 (3-5) (2002)
Dimitri Lefebvre, Philippe Thomas
Fuzzy granular systems for the modeling of road traffic networks. SMC (2001)
Chérif Tolba, Dimitri Lefebvre, Philippe Thomas, Abdellah El Moudni
Continuous Petri nets models for the analysis of traffic urban networks. SMC (2001)
Dimitri Lefebvre, Philippe Thomas, Jean-Marc Thiriet, Nadhir Messai, Abdellah El Moudni
Model-based traffic monitoring by means of neural networks. CDC (2000)
Philippe Thomas, Gérard Bloch, Franck Sirou, Vincent Eustache
Neural Modeling of an Induction Furnace Using Robust Learning Criteria. Integr. Comput. Aided Eng. 6 (1) (1999)
Philippe Thomas, Gérard Bloch, Claude Humbert
A multistage on-line learning rule for multilayer neural network. ESANN (1998)
Gérard Bloch, Philippe Thomas, Didier Theilliol
Accommodation to outliers in identification of non linear SISO systems with neural networks. Neurocomputing 14 (1) (1997)
Philippe Thomas, Gérard Bloch
From batch to recursive outlier-robust identification of non-linear dynamic systems with neural networks. ICNN (1996)