Romuald Boné

41 papers B 9C 2Journal 7Unranked 23
YearRankTypeTitle / Venue / Authors
2026 — conf
Analyzing Degradation Mechanisms: An Explainable Multi-Task Learning Approach for Battery Forecasting.
ICAART (3)
Théo Heitzmann, Amel Hidouri, Ahmed Samet, Tedjani Mesbahi, Romuald Boné
2026 — conf
Sensitivity and Ontology-Guided Counterfactual Explanation Generation for Battery State of Charge Estimation.
ICAART (2)
Slimane Arbaoui, Ali Ayadi, Ahmed Samet, Tedjani Mesbahi, Romuald Boné
2025 — conf
Validation ontologique des explications contrefactuelles pour les séries temporelles : Application aux batteries lithium-ion.
EGC
Slimane Arbaoui, Ali Ayadi, Ahmed Samet, Tedjani Mesbahi, Romuald Boné
2024 J jnl
Dual-model approach for one-shot lithium-ion battery state of health sequence prediction.
Array
Slimane Arbaoui, Ahmed Samet, Ali Ayadi, Tedjani Mesbahi, Romuald Boné
2024 — conf
SOCXAI: Leveraging CNN and SHAP Analysis for Battery SOC Estimation and Anomaly Detection.
ICCS (7)
Amel Hidouri, Slimane Arbaoui, Ahmed Samet, Ali Ayadi, Tedjani Mesbahi, Romuald Boné, François de Bertrand de Beuvron
2023 — conf
SocHAP: A New Data Driven Explainable Prediction of Battery State of Charge.
ICCS (5)
Théo Heitzmann, Ahmed Samet, Tedjani Mesbahi, Cyrine Soufi, Inès Jorge, Romuald Boné
2021 C conf
Auto-encoder LSTM for Li-ion SOH prediction: a comparative study on various benchmark datasets.
ICMLA
Paul Audin, Inès Jorge, Tedjani Mesbahi, Ahmed Samet, François de Bertrand de Beuvron, Romuald Boné
2020 C conf
New ANN results on a major benchmark for the prediction of RUL of Lithium Ion batteries in electric vehicles.
ICMLA
Inès Jorge, Ahmed Samet, Tedjani Mesbahi, Romuald Boné
2013 — conf
An Active Contour Model with Improved Shape Priors using Fourier Descriptors.
VISAPP (1)
Fareed Ahmed, Huu Dien Khue Le, Julien Olivier, Romuald Boné
2013 — conf
Graph-Based Regularization of Binary Classifiers for Texture Segmentation.
CAIP (1)
Cyrille Faucheux, Julien Olivier, Romuald Boné
2013 — conf
Hierarchical Clustering for Local Time Series Forecasting.
ICONIP (2)
Aymen Cherif, Hubert Cardot, Romuald Boné
2012 B conf
Texture-based graph regularization process for 2D and 3D ultrasound image segmentation.
ICIP
Cyrille Faucheux, Julien Olivier, Romuald Boné, Pascal Makris
2011 J jnl
Corrigendum to "Narrow band region-based active contours and surfaces for 2D and 3D segmentation" [Computer Vision and Image Understanding 113 (2009) 946-965].
Comput. Vis. Image Underst.
Julien Mille, Romuald Boné, Pascal Makris, Hubert Cardot
2011 J jnl
SOM time series clustering and prediction with recurrent neural networks.
Neurocomputing
Aymen Cherif, Hubert Cardot, Romuald Boné
2009 — conf
Recurrent Neural Networks as Local Models for Time Series Prediction.
ICONIP (2)
Aymen Cherif, Hubert Cardot, Romuald Boné
2008 J jnl
A new boosting algorithm for improved time-series forecasting with recurrent neural networks.
Inf. Fusion
Mohammad Assaad, Romuald Boné, Hubert Cardot
2008 B conf
A supervised texture-based active contour model with linear programming.
ICIP
Julien Olivier, Cedric Mocquillon, Jean-Jacques Rousselle, Romuald Boné, Hubert Cardot
2008 — conf
Active Contours Driven by Supervised Binary Classifiers for Texture Segmentation.
ISVC (1)
Julien Olivier, Romuald Boné, Jean-Jacques Rousselle, Hubert Cardot
2008 — conf
Region-Based 2D Deformable Generalized Cylinder for Narrow Structures Segmentation.
ECCV (2)
Julien Mille, Romuald Boné, Laurent D. Cohen
2007 — conf
2D and 3D Deformable Models with Narrowband Region Energy.
ICIP (2)
Julien Mille, Romuald Boné, Pascal Makris, Hubert Cardot
2007 — conf
Automatically Computed Markers for the 3D Watershed Segmentation.
ICIP (6)
Sébastien Delest, Romuald Boné, Hubert Cardot
2007 B conf
Segmentation and Tracking of the Left Ventricle in 3D MRI Sequences Using an Active Surface Model.
CBMS
Julien Mille, Romuald Boné, Pascal Makris, Hubert Cardot
2006 — conf
3D watershed transformation based on connected faces structure.
CompIMAGE
Sébastien Delest, Romuald Boné, Hubert Cardot
2006 — conf
Active surfaces acceleration methods.
CompIMAGE
Julien Olivier, Julien Mille, Romuald Boné, Jean-Jacques Rousselle
2006 — conf
Exploring Boundary Concavities in Active Contours and Surfaces.
3DPVT
Julien Mille, Romuald Boné, Pascal Makris, Hubert Cardot
2006 — conf
Fast estimation of skeleton points on 3D deformable meshes.
CompIMAGE
Julien Mille, Romuald Boné, Pascal Makris, Hubert Cardot
2006 B conf
Greedy Algorithm and Physics-Based Method for Active Contours and Surfaces: A Comparative Study.
ICIP
Julien Mille, Romuald Boné, Pascal Makris, Hubert Cardot
2006 — conf
Predicting Chaotic Time Series by Boosted Recurrent Neural Networks.
ICONIP (2)
Mohammad Assaad, Romuald Boné, Hubert Cardot
2005 — conf
Study of the Behavior of a New Boosting Algorithm for Recurrent Neural Networks.
ICANN (2)
Mohammad Assaad, Romuald Boné, Hubert Cardot
2005 — conf
Time Delay Learning by Gradient Descent in Recurrent Neural Networks.
ICANN (2)
Romuald Boné, Hubert Cardot
2003 — conf
Boosting Recurrent Neural Networks for Time Series Prediction.
ICANNGA
Romuald Boné, Mohammad Assaad, Michel Crucianu
2002 J jnl
Learning long-term dependencies by the selective addition of time-delayed connections to recurrent neural networks.
Neurocomputing
Romuald Boné, Michel Crucianu, Jean Pierre Asselin de Beauville
2001 J jnl
Bayesian learning for recurrent neural networks.
Neurocomputing
Michel Crucianu, Romuald Boné, Jean Pierre Asselin de Beauville
2001 J jnl
Un outil pour la comparaison et la validation d'algorithmes d'apprentissage à partir de données.
Monde des Util. Anal. Données
Michel Crucianu, Gilles Verley, Jean Pierre Asselin de Beauville, Romuald Boné
2000 — conf
A Bounded Exploration Approach to Constructive Algorithms for Recurrent Neural Networks.
IJCNN (3)
Romuald Boné, Michel Crucianu, Gilles Verley, Jean Pierre Asselin de Beauville
2000 B conf
An algorithm for the addition of time-delayed connections to recurrent neural networks.
ESANN
Romuald Boné, Michel Crucianu, Jean Pierre Asselin de Beauville
1999 B conf
Bayesian learning for time series prediction with exogenous variables.
IJCNN
Michel Crucianu, Romuald Boné, Jean Pierre Asselin de Beauville
1998 B conf
A Web Oriented Recurrent Neural Network Simulator.
ICONIP
Romuald Boné, Michel Crucianu, Pascal Makris, Jean Pierre Asselin de Beauville
1998 B conf
Model Comparison for Monthly Forecasts of the CAC 40.
ICONIP
Michel Crucianu, Romuald Boné, Jean Pierre Asselin de Beauville
1998 B conf
NAR time-series prediction: a Bayesian framework and an experiment.
ESANN
Michel Crucianu, Crucianu Uhry, Jean Pierre Asselin de Beauville, Romuald Boné
1996 — conf
Time Series Forecasting by Finite-State Automata.
Workshop on Implementing Automata
Romuald Boné, Christophe Daguin, Antoine Georgevail, Denis Maurel