2025
Data-Driven Policy Mapping for Safe RL-based Energy Management Systems.
CoRR, June, 2025
Amélioration de l'apprentissage par renforcement appliquée à la gestion de l'énergie par l'apprentissage des dynamiques indépendantes des actions.
Proceedings of the Extraction et Gestion des Connaissances, EGC 2025, 2025
2024
Meta-Decomposition: Dynamic Segmentation Approach Selection in IoT-based Activity Recognition.
CoRR, 2024
Boosting Medical Image Segmentation Performance with Adaptive Convolution Layer.
CoRR, 2024
On the Necessity of Metalearning: Learning Suitable Parameterizations for Learning Processes.
CoRR, 2024
Optimisation de la Gestion de l'Énergie par l'Apprentissage par Renforcement et le Clustering de Séries Temporelles pour la Génération de Politiques Individualisées.
Proceedings of the Extraction et Gestion des Connaissances, 2024
Enhancing Decision-Making in Energy Management Systems Through Action-Independent Dynamics Learning.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024
2023
Multi-Modal Evaluation Approach for Medical Image Segmentation.
CoRR, 2023
2022
Context Abstraction to Improve Decentralized Machine Learning in Structured Sensing Environments.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022
Reduction of the Position Bias via Multi-level Learning for Activity Recognition.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022
Uniform Evaluation of Properties in Activity Recognition.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022
Evaluation of Early Diagnosis of COVID-19 Algorithms.
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022
Multimodal Evaluation Method for Sound Event Detection.
Proceedings of the IEEE International Conference on Acoustics, 2022
Multiview Representation Learning for Human Activity Recognition.
Proceedings of the IEEE 9th International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, 2022
Improving Imitation Learning by Merging Experts Trajectories.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Clustering Approach to Solve Hierarchical Classification Problem Complexity.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Reinforcement Learning for Interactive QoS-Aware Services Composition.
IEEE Syst. J., 2021
Human Activity Recognition: A Dynamic Inductive Bias Selection Perspective.
Sensors, 2021
Domain models for data sources integration in HAR.
Neurocomputing, 2021
Affinity-Based Hierarchical Learning of Dependent Concepts for Human Activity Recognition.
CoRR, 2021
Description of Structural Biases and Associated Data in Sensor-Rich Environments.
CoRR, 2021
Deterministic policies based on maximum regrets in MDPs with imprecise rewards.
AI Commun., 2021
Hierarchical Learning of Dependent Concepts for Human Activity Recognition.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021
Modélisation du processus de génération de données pour la reconnaissance d'activités.
Proceedings of the Extraction et Gestion des Connaissances, 2021
Equational Model Guided by Real-time Sensor Data to Monitor Industrial Robots.
Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021
Augmented Experiment in Material Engineering Using Machine Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Combining Domain Knowledge and Deep Learning to Improve HAR Models.
Proceedings of the Generalization with Deep Learning: For Improvement on Sensing Capability, 2021
2020
Data Generation Process Modeling for Activity Recognition.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track, 2020
A multi-view architecture for the SHL challenge.
Proceedings of the UbiComp/ISWC '20: 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers, 2020
2019
Monitoring of a Dynamic System Based on Autoencoders.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Calcul d'une politique déterministe dans un MDP avec récompenses imprécises.
Proceedings of the Extraction et Gestion des connaissances, 2019
Hapicare: A Healthcare Monitoring System with Self-Adaptive Coaching using Probabilistic Reasoning.
Proceedings of the 16th IEEE/ACS International Conference on Computer Systems and Applications, 2019
Bayesian Optimization of Neural Architectures for Human Activity Recognition.
Proceedings of the Human Activity Sensing - Corpus and Applications, 2019
2018
Hybrid and Convolutional Neural Networks for Locomotion Recognition.
Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018
2017
A GRC-Centric Approach for Enhancing Management Process of IoT-Based Health Institution.
Proceedings of the Mobile, Secure, and Programmable Networking, 2017
Machine Learning Approach for Infant Cry Interpretation.
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017
Platform for Assessment and Monitoring of Infant Comfort.
Proceedings of the 2017 AAAI Fall Symposia, Arlington, Virginia, USA, November 9-11, 2017, 2017
2011
Learning Dependent-Concepts in ILP: Application to Model-Driven Data Warehouses.
Proceedings of the Latest Advances in Inductive Logic Programming, 2011
Transformation Learning in the Context of Model-Driven Data Warehouse: An Experimental Design Based on Inductive Logic Programming.
Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011
2010
Model driven data warehouse using MDA and 2TUP.
J. Comput. Methods Sci. Eng., 2010
Towards Model-driven Data Warehouse Automation using Machine Learning.
Proceedings of the ICEC 2010 - Proceedings of the International Conference on Evolutionary Computation, [part of the International Joint Conference on Computational Intelligence IJCCI 2010], Valencia, Spain, October 24, 2010
2009
Data Warehouse Development Using MDA and 2TUP.
Proceedings of the 18th International Conference on Software Engineering and Data Engineering (SEDE-2009), 2009
Empirical Study of Relational Learning Algorithms in the Phase Transition Framework.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009
2008
On the connection between the phase transition of the covering test and the learning success rate in ILP.
Mach. Learn., 2008
Emergent property of consistent updated geographical database.
Int. J. Model. Identif. Control., 2008
A Model to Study Phase Transition and Plateaus in Relational Learning.
Proceedings of the Inductive Logic Programming, 18th International Conference, 2008
2007
Phase transition and heuristic search in relational learning.
Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007
Mining Association Rules in Temporal Sequences.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2007
2006
On the Connection Between the Phase Transition of the Covering Test and the Learning Success Rate.
Proceedings of the Inductive Logic Programming, 16th International Conference, 2006
bitSPADE: A Lattice-based Sequential Pattern Mining Algorithm Using Bitmap Representation.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006
2005
Evolutive complex scheduling in interaction networks for quality improvment in geographical data base updating.
Proceedings of the 12th IEEE International Conference on Electronics, 2005
2003
Qualitative Point Sequential Patterns.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2003
On the consistency of cardinality constraints in UML modelling.
Proceedings of the Enhanced Interoperable Systems. Proceedings of the 10th ISPE International Conference on Concurrent Engineering (ISPE CE 2003), 2003
Computing Lower Bound for MAX-CSP Problems.
Proceedings of the Developments in Applied Artificial Intelligence, 2003
Optimal Approach for Temporal Patterns Discovery.
Proceedings of the Sixteenth International Florida Artificial Intelligence Research Society Conference, 2003
2002
Modélisation d'un anneauSDH pour les besoins de la gestion de fautes.
Ann. des Télécommunications, 2002
Updating Data in GIS: How to Maintain Database Consistency?
Proceedings of the ICEIS 2002, 2002
2001
Distributed Model for an SDH Telecommunication Network Diagnosis.
Proceedings of the ISCA 10th International Conference on Intelligent Systems, 2001
2000
A Model for Reasoning about Topologic Relations between cyclic intervals.
Proceedings of the KR 2000, 2000
A Constraint-Based Approach to Simulate Faults in Telecommunication Networks.
Proceedings of the Intelligent Problem Solving, 2000
Simulating faults in telecommunication network: Reasoning about uncertain propagation of events.
Proceedings of the ISCA 15th International Conference Computers and Their Applications, 2000
Model-Based-Diagnosis for Fault Management in Telecommunications Networks.
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on on Innovative Applications of Artificial Intelligence, July 30, 2000
1999
Introduction to Reasoning about Cyclic Intervals.
Proceedings of the Multiple Approaches to Intelligent Systems, 1999
Modeling and Simulating Breakdown Situations in Telecommunicatiion Networks.
Proceedings of the Multiple Approaches to Intelligent Systems, 1999
1998
Reasoning about Generalized Intervals.
Proceedings of the Artificial Intelligence: Methodology, 1998