Philippe Thomas
Orcid: 0000-0001-9426-3570Affiliations:
- Université de Lorraine, Nancy, France
- Centre de Recherche en Automatique de Nancy (CNRS), France (former)
- UTBM, Belfort, France (former)
- University Henri Poincaré Nancy 1, France (PhD 1997)
According to our database1,
Philippe Thomas
authored at least 53 papers
between 1996 and 2024.
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Bibliography
2024
A Dataset for Pharmacovigilance in German, French, and Japanese: Annotating Adverse Drug Reactions across Languages.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
2023
An image is worth 10,000 points: Neural network architectures and alternative log representations for lumber production prediction.
Comput. Ind., October, 2023
MLP Based on Dissimilarity Features: An Application to Wood Sawing Simulator Metamodeling.
SN Comput. Sci., July, 2023
Toward digital twins for sawmill production planning and control: benefits, opportunities, and challenges.
Int. J. Prod. Res., April, 2023
Proceedings of the 15th International Joint Conference on Computational Intelligence, 2023
2022
Toward a Sawmill Digital Shadow Based on Coupled Simulation and Supervised Learning Models.
Proceedings of the Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future, 2022
Proceedings of the 14th International Joint Conference on Computational Intelligence, 2022
2021
Multicriteria decision-making method for scheduling problem based on smart batches and their quality prediction capability.
Comput. Ind., 2021
Coupling digital simulation and machine learning metamodel through an active learning approach in Industry 4.0 context.
Comput. Ind., 2021
Proceedings of the 13th International Joint Conference on Computational Intelligence, 2021
Proceedings of the Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems, 2021
Neural Network Architectures and Feature Extraction for Lumber Production Prediction.
Proceedings of the 34th Canadian Conference on Artificial Intelligence, 2021
2019
Relearning procedure to adapt pollutant prediction neural model: Choice of relearning algorithm.
Proceedings of the International Joint Conference on Neural Networks, 2019
Demand Forecasting using Artificial Neuronal Networks and Time Series: Application to a French Furniture Manufacturer Case Study.
Proceedings of the 11th International Joint Conference on Computational Intelligence, 2019
2018
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., 2018
Using Analytic Hierarchical Process for Scheduling Problems Based on Smart Lots and Their Quality Prediction Capability.
Proceedings of the Service Orientation in Holonic and Multi-Agent Manufacturing, 2018
Proceedings of the Service Orientation in Holonic and Multi-Agent Manufacturing, 2018
2017
A batching and scheduling optimisation for a cutting work-center: Acta-Mobilier case study.
CoRR, 2017
A Case Study of Intelligent Manufacturing Control Based on Multi-agents System to Deal with Batching and Sequencing on Rework Context.
Proceedings of the Service Orientation in Holonic and Multi-Agent Manufacturing, 2017
An Iterative Closest Point Method for Measuring the Level of Similarity of 3D Log Scans in Wood Industry.
Proceedings of the Service Orientation in Holonic and Multi-Agent Manufacturing, 2017
Neural Network Inverse Model for Quality Monitoring - Application to a High Quality Lackering Process.
Proceedings of the 9th International Joint Conference on Computational Intelligence, 2017
Impact of Hidden Weights Choice on Accuracy of MLP with Randomly Fixed Hidden Neurons for Regression Problems.
Proceedings of the 9th International Joint Conference on Computational Intelligence, 2017
2016
Reconfiguration process for neuronal classification models: Application to a quality monitoring problem.
Comput. Ind., 2016
2015
A New Multilayer Perceptron Pruning Algorithm for Classification and Regression Applications.
Neural Process. Lett., 2015
Proceedings of the 7th International Joint Conference on Computational Intelligence (IJCCI 2015), 2015
2014
Prediction Model Adaptation Thanks to Control Chart Monitoring - Application to Pollutants Prediction.
Proceedings of the NCTA 2014 - Proceedings of the International Conference on Neural Computation Theory and Applications, part of IJCCI 2014, Rome, Italy, 22, 2014
CART for Supply Chain Simulation Models Reduction - Application to a Sawmill Internal Supply Chain.
Proceedings of the Advances in Production Management Systems. Innovative and Knowledge-Based Production Management in a Global-Local World, 2014
Proceedings of the Advances in Production Management Systems. Innovative and Knowledge-Based Production Management in a Global-Local World, 2014
Exploitation de données pour la modélisation. : De l'évaluation des systèmes de transport aux chaînes logistiques.
, 2014
2013
Proceedings of the Service Orientation in Holonic and Multi Agent Manufacturing and Robotics, 2013
Variance Sensitivity Analysis of Parameters for Pruning of a Multilayer Perceptron: Application to a Sawmill Supply Chain Simulation Model.
Adv. Artif. Neural Syst., 2013
2011
Multilayer perceptron for simulation models reduction: Application to a sawmill workshop.
Eng. Appl. Artif. Intell., 2011
2009
How deals with discrete data for the reduction of simulation models using neural network
CoRR, 2009
2008
Sélection de la structure d'un perceptron multicouches pour la réduction dun modèle de simulation d'une scierie
CoRR, 2008
Elagage d'un perceptron multicouches : utilisation de l'analyse de la variance de la sensibilité des paramètres
CoRR, 2008
Proceedings of the 10th EUROS/UKSim International Conference on Computer Modelling and Simulation, 2008
2005
Continuous and timed Petri nets for the macroscopic and microscopic traffic flow modelling.
Simul. Model. Pract. Theory, 2005
Parameters Estimation For Timed And Continuous Petri Nets: Application To The Identification And Monitoring Of Hybrid Systems.
Cybern. Syst., 2005
2003
Proceedings of 9th IEEE International Conference on Emerging Technologies and Factory Automation, 2003
Source and Sink Transitions Controllers for Continuous Petri Nets: A Gradient-Based Approach.
Proceedings of the IFAC Conference on Analysis and Design of Hybrid Systems, 2003
2002
Fault detection and isolation in non-linear systems by using oversized neural networks.
Math. Comput. Simul., 2002
Optimal neural networks architectures for the flow-density relationships of traffic models.
Math. Comput. Simul., 2002
System design through MATLAB, control toolbox and SIMULINK: Krishna K. Singh and Gayatri Agnihotri; Springer, London, 2001, ISBN 1-85233-337-5.
Autom., 2002
2001
Proceedings of the IEEE International Conference on Systems, 2001
Proceedings of the IEEE International Conference on Systems, 2001
2000
Proceedings of the 39th IEEE Conference on Decision and Control, 2000
1999
Integr. Comput. Aided Eng., 1999
1998
Proceedings of the 6th European Symposium on Artificial Neural Networks, 1998
1997
Accommodation to outliers in identification of non linear SISO systems with neural networks.
Neurocomputing, 1997
1996
From batch to recursive outlier-robust identification of non-linear dynamic systems with neural networks.
Proceedings of International Conference on Neural Networks (ICNN'96), 1996