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ORCIDPhilippe Thomas 0001
Person information
- affiliation: Université de Lorraine, Nancy, France
- affiliation (former): Centre de Recherche en Automatique de Nancy (CNRS), France
- affiliation (former): UTBM, Belfort, France
- affiliation (PhD 1997): University Henri Poincaré Nancy 1, France
Other persons with the same name
- Philippe Thomas — disambiguation page
- Philippe Thomas 0002 (aka: Philippe E. Thomas) — DFKI Berlin, Germany (and 1 more)
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2020 – today
- 2024
[c28]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: 395-414- [i8]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 abs/2403.18336 (2024) - 2023
- [j18]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: 103964 (2023) - [j17]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): 2190-2213 (2023) - [j16]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): 408 (2023) - [c27]Sylvain Chabanet, Philippe Thomas, Hind Bril El Haouzi:
CoreSelect: A New Approach to Select Landmarks for Dissimilarity Space Embedding. IJCCI 2023: 479-486 - 2022
- [c26]Valentin Chazelle, Philippe Thomas, Hind Bril El Haouzi, Christophe Heleu:
A MLP for Dryer Energy Consumption Prediction in Wood Panel Industry. IJCCI 2022: 381-388 - [c25]Sylvain Chabanet, Hind Bril El Haouzi, Philippe Thomas:
Toward a Sawmill Digital Shadow Based on Coupled Simulation and Supervised Learning Models. SOHOMA 2022: 59-70 - 2021
- [j15]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: 103529 (2021) - [j14]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: 103549 (2021) - [c24]Vincent Martineau, Michael Morin, Jonathan Gaudreault, Philippe Thomas, Hind Bril El Haouzi:
Neural Network Architectures and Feature Extraction for Lumber Production Prediction. Canadian AI 2021 - [c23]Sylvain Chabanet, Valentin Chazelle, Philippe Thomas, Hind Bril El Haouzi:
Dissimilarity to Class Medoids as Features for 3D Point Cloud Classification. APMS (3) 2021: 573-581 - [c22]Sylvain Chabanet, Philippe Thomas, Hind Bril El Haouzi:
Medoid-based MLP: An Application to Wood Sawing Simulator Metamodeling. IJCCI 2021: 201-210
2010 – 2019
- 2019
- [c21]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: 502-507 - [c20]Philippe Thomas, Marie-Christine Suhner, William Derigent:
Relearning procedure to adapt pollutant prediction neural model: Choice of relearning algorithm. IJCNN 2019: 1-8 - 2018
- [j13]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: 193-204 (2018) - [c19]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: 156-167 - [c18]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: 337-348 - [i7]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 abs/1804.01684 (2018) - 2017
- [c17]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: 186-191 - [c16]Marie-Christine Suhner, Philippe Thomas:
Impact of Hidden Weights Choice on Accuracy of MLP with Randomly Fixed Hidden Neurons for Regression Problems. IJCCI 2017: 223-230 - [c15]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: 63-75 - [c14]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: 433-444 - [i6]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 abs/1710.03981 (2017) - [i5]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 abs/1710.08135 (2017) - 2016
- [j12]Mélanie Noyel, Philippe Thomas, André Thomas, Patrick Charpentier:
Reconfiguration process for neuronal classification models: Application to a quality monitoring problem. Comput. Ind. 83: 78-91 (2016) - 2015
- [j11]Dimitri Lefebvre, Edouard Leclercq, Fabrice Druaux, Philippe Thomas:
Gradient-based controllers for timed continuous Petri nets. Int. J. Syst. Sci. 46(9): 1661-1678 (2015) - [j10]Philippe Thomas, Marie-Christine Suhner:
A New Multilayer Perceptron Pruning Algorithm for Classification and Regression Applications. Neural Process. Lett. 42(2): 437-458 (2015) - [c13]Philippe Thomas:
Perceptron Learning for Classification Problems. IJCCI (NCTA) 2015: 106-113 - 2014
- [b1]Philippe Thomas:
Exploitation de données pour la modélisation. : De l'évaluation des systèmes de transport aux chaînes logistiques. University of Lorraine, Nancy, France, 2014 - [c12]Mélanie Noyel, Philippe Thomas, André Thomas, Patrick Charpentier, Thomas Brault:
Flow Disturbance Analysis in Workshops with High Reworks Rate. APMS (3) 2014: 280-287 - [c11]Philippe Thomas, Marie-Christine Suhner, André Thomas:
CART for Supply Chain Simulation Models Reduction - Application to a Sawmill Internal Supply Chain. APMS (3) 2014: 530-537 - [c10]Philippe Thomas, William Derigent, Marie-Christine Suhner:
Prediction Model Adaptation Thanks to Control Chart Monitoring - Application to Pollutants Prediction. IJCCI (NCTA) 2014: 172-179 - 2013
- [j9]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: 284570:1-284570:17 (2013) - [c9]Philippe Thomas, Mélanie Noyel, Marie-Christine Suhner, Patrick Charpentier, André Thomas:
Neural Networks Ensemble for Quality Monitoring. IJCCI 2013: 515-522 - [p1]Philippe Thomas, André Thomas:
An Approach to Data Mining for Product-driven Systems. Service Orientation in Holonic and Multi Agent Manufacturing and Robotics 2013: 181-194 - [i4]Mélanie Noyel, Philippe Thomas, Patrick Charpentier, André Thomas, Bruno Beaupretre:
Improving production process performance thanks to neuronal analysis. CoRR abs/1306.3083 (2013) - 2011
- [j8]Philippe Thomas, André Thomas:
Multilayer perceptron for simulation models reduction: Application to a sawmill workshop. Eng. Appl. Artif. Intell. 24(4): 646-657 (2011)
2000 – 2009
- 2009
- [i3]Philippe Thomas, André Thomas:
How deals with discrete data for the reduction of simulation models using neural network. CoRR abs/0906.1900 (2009) - 2008
- [c8]Philippe Thomas, Denise Choffel, André Thomas:
Simulation Reduction Models Approach Using Neural Network. UKSim 2008: 679-684 - [i2]Philippe Thomas, André Thomas:
Elagage d'un perceptron multicouches : utilisation de l'analyse de la variance de la sensibilité des paramètres. CoRR abs/0812.0882 (2008) - [i1]Philippe Thomas, André Thomas:
Sélection de la structure d'un perceptron multicouches pour la réduction dun modèle de simulation d'une scierie. CoRR abs/0812.1094 (2008) - 2005
- [j7]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): 217-250 (2005) - [j6]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): 407-436 (2005) - 2003
- [c7]Dimitri Lefebvre, Edouard Leclercq, Fabrice Druaux, Philippe Thomas:
Source and Sink Transitions Controllers for Continuous Petri Nets: A Gradient-Based Approach. ADHS 2003: 193-198 - [c6]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: 157-160 - 2002
- [j5]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): 563-564 (2002) - [j4]Philippe Thomas, Dimitri Lefebvre:
Fault detection and isolation in non-linear systems by using oversized neural networks. Math. Comput. Simul. 60(3-5): 181-192 (2002) - [j3]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): 401-409 (2002) - 2001
- [c5]Chérif Tolba, Dimitri Lefebvre, Philippe Thomas, Abdellah El Moudni:
Continuous Petri nets models for the analysis of traffic urban networks. SMC 2001: 1323-1328 - [c4]Dimitri Lefebvre, Philippe Thomas:
Fuzzy granular systems for the modeling of road traffic networks. SMC 2001: 1329-1334 - 2000
- [c3]Dimitri Lefebvre, Philippe Thomas, Jean-Marc Thiriet, Nadhir Messai, Abdellah El Moudni:
Model-based traffic monitoring by means of neural networks. CDC 2000: 3541-3546
1990 – 1999
- 1999
- [j2]Philippe Thomas, Gérard Bloch, Franck Sirou, Vincent Eustache:
Neural Modeling of an Induction Furnace Using Robust Learning Criteria. Integr. Comput. Aided Eng. 6(1): 15-26 (1999) - 1998
- [c2]Philippe Thomas, Gérard Bloch, Claude Humbert:
A multistage on-line learning rule for multilayer neural network. ESANN 1998: 279-284 - 1997
- [j1]Gérard Bloch, Philippe Thomas, Didier Theilliol:
Accommodation to outliers in identification of non linear SISO systems with neural networks. Neurocomputing 14(1): 85-99 (1997) - 1996
- [c1]Philippe Thomas, Gérard Bloch:
From batch to recursive outlier-robust identification of non-linear dynamic systems with neural networks. ICNN 1996: 178-183
Coauthor Index
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