Time Series Forecasting by Finite-State Automata. - Romuald Boné; Christophe Daguin; Antoine Georgevail; Denis Maurel (Workshop on Implementing Automata, 1996)

NAR time-series prediction: a Bayesian framework and an experiment. - Michel Crucianu; Crucianu Uhry; Jean Pierre Asselin de Beauville; Romuald Boné (ESANN, 1998)

A Web Oriented Recurrent Neural Network Simulator. - Romuald Boné; Michel Crucianu; Pascal Makris; Jean Pierre Asselin de Beauville (ICONIP, 1998)

Model Comparison for Monthly Forecasts of the CAC 40. - Michel Crucianu; Romuald Boné; Jean Pierre Asselin de Beauville (ICONIP, 1998)

Bayesian learning for time series prediction with exogenous variables. - Michel Crucianu; Romuald Boné; Jean Pierre Asselin de Beauville (IJCNN, 1999)

An algorithm for the addition of time-delayed connections to recurrent neural networks. - Romuald Boné; Michel Crucianu; Jean Pierre Asselin de Beauville (ESANN, 2000)

A Bounded Exploration Approach to Constructive Algorithms for Recurrent Neural Networks. - Romuald Boné; Michel Crucianu; Gilles Verley; Jean Pierre Asselin de Beauville (IJCNN (3), 2000)

Bayesian learning for recurrent neural networks. - Michel Crucianu; Romuald Boné; Jean Pierre Asselin de Beauville (Neurocomputing, 2001)

Un outil pour la comparaison et la validation d'algorithmes d'apprentissage à partir de données. - Michel Crucianu; Gilles Verley; Jean Pierre Asselin de Beauville; Romuald Boné (Monde des Util. Anal. Données, 2001)

Learning long-term dependencies by the selective addition of time-delayed connections to recurrent neural networks. - Romuald Boné; Michel Crucianu; Jean Pierre Asselin de Beauville (Neurocomputing, 2002)

Boosting Recurrent Neural Networks for Time Series Prediction. - Romuald Boné; Mohammad Assaad; Michel Crucianu (ICANNGA, 2003)

Study of the Behavior of a New Boosting Algorithm for Recurrent Neural Networks. - Mohammad Assaad; Romuald Boné; Hubert Cardot (ICANN (2), 2005)

Time Delay Learning by Gradient Descent in Recurrent Neural Networks. - Romuald Boné; Hubert Cardot (ICANN (2), 2005)

Exploring Boundary Concavities in Active Contours and Surfaces. - Julien Mille; Romuald Boné; Pascal Makris; Hubert Cardot (3DPVT, 2006)

3D watershed transformation based on connected faces structure. - Sébastien Delest; Romuald Boné; Hubert Cardot (CompIMAGE, 2006)

Fast estimation of skeleton points on 3D deformable meshes. - Julien Mille; Romuald Boné; Pascal Makris; Hubert Cardot (CompIMAGE, 2006)

Active surfaces acceleration methods. - Julien Olivier; Julien Mille; Romuald Boné; Jean-Jacques Rousselle (CompIMAGE, 2006)

Greedy Algorithm and Physics-Based Method for Active Contours and Surfaces: A Comparative Study. - Julien Mille; Romuald Boné; Pascal Makris; Hubert Cardot (ICIP, 2006)

Predicting Chaotic Time Series by Boosted Recurrent Neural Networks. - Mohammad Assaad; Romuald Boné; Hubert Cardot (ICONIP (2), 2006)

Segmentation and Tracking of the Left Ventricle in 3D MRI Sequences Using an Active Surface Model. - Julien Mille; Romuald Boné; Pascal Makris; Hubert Cardot (CBMS, 2007)

Automatically Computed Markers for the 3D Watershed Segmentation. - Sébastien Delest; Romuald Boné; Hubert Cardot (ICIP (6), 2007)

2D and 3D Deformable Models with Narrowband Region Energy. - Julien Mille; Romuald Boné; Pascal Makris; Hubert Cardot (ICIP (2), 2007)

Region-Based 2D Deformable Generalized Cylinder for Narrow Structures Segmentation. - Julien Mille; Romuald Boné; Laurent D. Cohen (ECCV (2), 2008)

A supervised texture-based active contour model with linear programming. - Julien Olivier; Cedric Mocquillon; Jean-Jacques Rousselle; Romuald Boné; Hubert Cardot (ICIP, 2008)

Active Contours Driven by Supervised Binary Classifiers for Texture Segmentation. - Julien Olivier; Romuald Boné; Jean-Jacques Rousselle; Hubert Cardot (ISVC (1), 2008)

A new boosting algorithm for improved time-series forecasting with recurrent neural networks. - Mohammad Assaad; Romuald Boné; Hubert Cardot (Inf. Fusion, 2008)

Recurrent Neural Networks as Local Models for Time Series Prediction. - Aymen Cherif; Hubert Cardot; Romuald Boné (ICONIP (2), 2009)

Corrigendum to "Narrow band region-based active contours and surfaces for 2D and 3D segmentation" [Computer Vision and Image Understanding 113 (2009) 946-965]. - Julien Mille; Romuald Boné; Pascal Makris; Hubert Cardot (Comput. Vis. Image Underst., 2011)

SOM time series clustering and prediction with recurrent neural networks. - Aymen Cherif; Hubert Cardot; Romuald Boné (Neurocomputing, 2011)

Texture-based graph regularization process for 2D and 3D ultrasound image segmentation. - Cyrille Faucheux; Julien Olivier; Romuald Boné; Pascal Makris (ICIP, 2012)

Graph-Based Regularization of Binary Classifiers for Texture Segmentation. - Cyrille Faucheux; Julien Olivier; Romuald Boné (CAIP (1), 2013)

Hierarchical Clustering for Local Time Series Forecasting. - Aymen Cherif; Hubert Cardot; Romuald Boné (ICONIP (2), 2013)

An Active Contour Model with Improved Shape Priors using Fourier Descriptors. - Fareed Ahmed; Huu Dien Khue Le; Julien Olivier; Romuald Boné (VISAPP (1), 2013)

New ANN results on a major benchmark for the prediction of RUL of Lithium Ion batteries in electric vehicles. - Inès Jorge; Ahmed Samet; Tedjani Mesbahi; Romuald Boné (ICMLA, 2020)

Auto-encoder LSTM for Li-ion SOH prediction: a comparative study on various benchmark datasets. - Paul Audin; Inès Jorge; Tedjani Mesbahi; Ahmed Samet; François de Bertrand de Beuvron; Romuald Boné (ICMLA, 2021)

SocHAP: A New Data Driven Explainable Prediction of Battery State of Charge. - Théo Heitzmann; Ahmed Samet; Tedjani Mesbahi; Cyrine Soufi; Inès Jorge; Romuald Boné (ICCS (5), 2023)

SOCXAI: Leveraging CNN and SHAP Analysis for Battery SOC Estimation and Anomaly Detection. - Amel Hidouri; Slimane Arbaoui; Ahmed Samet; Ali Ayadi; Tedjani Mesbahi; Romuald Boné; François de Bertrand de Beuvron (ICCS (7), 2024)

Dual-model approach for one-shot lithium-ion battery state of health sequence prediction. - Slimane Arbaoui; Ahmed Samet; Ali Ayadi; Tedjani Mesbahi; Romuald Boné (Array, 2024)

Validation ontologique des explications contrefactuelles pour les séries temporelles : Application aux batteries lithium-ion. - Slimane Arbaoui; Ali Ayadi; Ahmed Samet; Tedjani Mesbahi; Romuald Boné (EGC, 2025)