Romuald Boné - researchr alias

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Viewing Publication 1 - 35 from 35

2023

SocHAP: A New Data Driven Explainable Prediction of Battery State of ChargeThéo Heitzmann, Ahmed Samet, Tedjani Mesbahi, Cyrine Soufi, Inès Jorge, Romuald Boné. iccs 2023: 463-475 [doi]

2021

Auto-encoder LSTM for Li-ion SOH prediction: a comparative study on various benchmark datasetsPaul Audin, Inès Jorge, Tedjani Mesbahi, Ahmed Samet, François de Bertrand de Beuvron, Romuald Boné. icmla 2021: 1529-1536 [doi]

2020

New ANN results on a major benchmark for the prediction of RUL of Lithium Ion batteries in electric vehiclesInès Jorge, Ahmed Samet, Tedjani Mesbahi, Romuald Boné. icmla 2020: 1246-1253 [doi]

2013

An Active Contour Model with Improved Shape Priors using Fourier DescriptorsFareed Ahmed, Huu Dien Khue Le, Julien Olivier, Romuald Boné. visapp 2013: 472-476

Hierarchical Clustering for Local Time Series ForecastingAymen Cherif, Hubert Cardot, Romuald Boné. iconip 2013: 59-66 [doi]

Graph-Based Regularization of Binary Classifiers for Texture SegmentationCyrille Faucheux, Julien Olivier, Romuald Boné. caip 2013: 310-318 [doi]

2012

Texture-based graph regularization process for 2D and 3D ultrasound image segmentationCyrille Faucheux, Julien Olivier, Romuald Boné, Pascal Makris. icip 2012: 2333-2336 [doi]

2011

SOM time series clustering and prediction with recurrent neural networksAymen Cherif, Hubert Cardot, Romuald Boné. ijon, 74(11):1936-1944, 2011. [doi]

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. cviu, 115(2):286, 2011. [doi]

2008

2007

2006

Predicting Chaotic Time Series by Boosted Recurrent Neural NetworksMohammad Assaad, Romuald Boné, Hubert Cardot. iconip 2006: 831-840 [doi]

3D watershed transformation based on connected faces structureSébastian Delest, Romuald Boné, Hubert Cardot. compimage 2007: 159-163

Exploring Boundary Concavities in Active Contours and SurfacesJulien Mille, Romuald Boné, Pascal Makris, Hubert Cardot. 3dpvt 2006: 1093-1100 [doi]

Greedy Algorithm and Physics-Based Method for Active Contours and Surfaces: A Comparative StudyJulien Mille, Romuald Boné, Pascal Makris, Hubert Cardot. icip 2006: 1645-1648 [doi]

Fast estimation of skeleton points on 3D deformable meshesJulien Mille, Romuald Boné, Pascal Makris, Hubert Cardot. compimage 2007: 289-294

Active surfaces acceleration methodsJulien Olivier, Julien Mille, Romuald Boné, Jean-Jacques Rousselle. compimage 2007: 325-330

2005

Study of the Behavior of a New Boosting Algorithm for Recurrent Neural NetworksMohammad Assaad, Romuald Boné, Hubert Cardot. icann 2005: 169-174 [doi]

Time Delay Learning by Gradient Descent in Recurrent Neural NetworksRomuald Boné, Hubert Cardot. icann 2005: 175-180 [doi]

2003

Boosting Recurrent Neural Networks for Time Series PredictionRomuald Boné, Mohammad Assaad, Michel Crucianu. icannga 2003: 18-22 [doi]

2002

Learning long-term dependencies by the selective addition of time-delayed connections to recurrent neural networksRomuald Boné, Michel Crucianu, Jean Pierre Asselin de Beauville. ijon, 48(1-4):251-266, 2002. [doi]

2001

Un outil pour la comparaison et la validation d'algorithmes d'apprentissage à partir de donnéesMichel Crucianu, Gilles Verley, Jean Pierre Asselin de Beauville, Romuald Boné. modulad, 26:55-70, 2001. [doi]

Bayesian learning for recurrent neural networksMichel Crucianu, Romuald Boné, Jean Pierre Asselin de Beauville. ijon, 36(1-4):235-242, 2001. [doi]

2000

A Bounded Exploration Approach to Constructive Algorithms for Recurrent Neural NetworksRomuald Boné, Michel Crucianu, Gilles Verley, Jean Pierre Asselin de Beauville. ijcnn 2000: 27-34 [doi]

An algorithm for the addition of time-delayed connections to recurrent neural networksRomuald Boné, Michel Crucianu, Jean Pierre Asselin de Beauville. esann 2000: 293-298 [doi]

1999

Bayesian learning for time series prediction with exogenous variablesMichel Crucianu, Romuald Boné, Jean Pierre Asselin de Beauville. ijcnn 1999: 2594-2599 [doi]

1998

A Web Oriented Recurrent Neural Network SimulatorRomuald Boné, Michel Crucianu, Pascal Makris, Jean Pierre Asselin de Beauville. iconip 1998: 97-100

Model Comparison for Monthly Forecasts of the CAC 40Michel Crucianu, Romuald Boné, Jean Pierre Asselin de Beauville. iconip 1998: 1033-1036

NAR time-series prediction: a Bayesian framework and an experimentMichel Crucianu, Crucianu Uhry, Jean Pierre Asselin de Beauville, Romuald Boné. esann 1998: 111-116 [doi]

1996

Time Series Forecasting by Finite-State AutomataRomuald Boné, Christophe Daguin, Antoine Georgevail, Denis Maurel. wia 1997: 26-34

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