Romuald Boné

2008
20	EE	Julien Mille, Romuald Boné, Laurent D. Cohen: Region-Based 2D Deformable Generalized Cylinder for Narrow Structures Segmentation. ECCV (2) 2008: 392-404
19	EE	Julien Olivier, Cedric Mocquillon, Jean-Jacques Rousselle, Romuald Boné, Hubert Cardot: A supervised texture-based active contour model with linear programming. ICIP 2008: 1104-1107
18	EE	Julien Olivier, Romuald Boné, Jean-Jacques Rousselle, Hubert Cardot: Active Contours Driven by Supervised Binary Classifiers for Texture Segmentation. ISVC (1) 2008: 288-297
17	EE	Mohammad Assaad, Romuald Boné, Hubert Cardot: A new boosting algorithm for improved time-series forecasting with recurrent neural networks. Information Fusion 9(1): 41-55 (2008)
2007
16	EE	Julien Mille, Romuald Boné, Pascal Makris, Hubert Cardot: Segmentation and Tracking of the Left Ventricle in 3D MRI Sequences Using an Active Surface Model. CBMS 2007: 257-262
15	EE	Julien Mille, Romuald Boné, Pascal Makris, Hubert Cardot: 2D and 3D Deformable Models with Narrowband Region Energy. ICIP (2) 2007: 57-60
14	EE	Sébastian Delest, Romuald Boné, Hubert Cardot: Automatically Computed Markers for the 3D Watershed Segmentation. ICIP (6) 2007: 533-536
2006
13	EE	Julien Mille, Romuald Boné, Pascal Makris, Hubert Cardot: Exploring Boundary Concavities in Active Contours and Surfaces. 3DPVT 2006: 1093-1100
12	EE	Julien Mille, Romuald Boné, Pascal Makris, Hubert Cardot: Greedy Algorithm and Physics-Based Method for Active Contours and Surfaces: A Comparative Study. ICIP 2006: 1645-1648
11	EE	Mohammad Assaad, Romuald Boné, Hubert Cardot: Predicting Chaotic Time Series by Boosted Recurrent Neural Networks. ICONIP (2) 2006: 831-840
2005
10	EE	Mohammad Assaad, Romuald Boné, Hubert Cardot: Study of the Behavior of a New Boosting Algorithm for Recurrent Neural Networks. ICANN (2) 2005: 169-174
9	EE	Romuald Boné, Hubert Cardot: Time Delay Learning by Gradient Descent in Recurrent Neural Networks. ICANN (2) 2005: 175-180
2002
8	EE	Romuald Boné, Michel Crucianu, Jean Pierre Asselin de Beauville: Learning long-term dependencies by the selective addition of time-delayed connections to recurrent neural networks. Neurocomputing 48(1-4): 251-266 (2002)
2001
7	EE	Michel Crucianu, Romuald Boné, Jean Pierre Asselin de Beauville: Bayesian learning for recurrent neural networks. Neurocomputing 36(1-4): 235-242 (2001)
2000
6	EE	Romuald Boné, Michel Crucianu, Jean Pierre Asselin de Beauville: An algorithm for the addition of time-delayed connections to recurrent neural networks. ESANN 2000: 293-298
5	EE	Romuald Boné, Michel Crucianu, Gilles Verley, Jean Pierre Asselin de Beauville: A Bounded Exploration Approach to Constructive Algorithms for Recurrent Neural Networks. IJCNN (3) 2000: 27-34
1998
4	EE	Michel Crucianu, Crucianu Uhry, Jean Pierre Asselin de Beauville, Romuald Boné: NAR time-series prediction: a Bayesian framework and an experiment. ESANN 1998: 111-116
3		Michel Crucianu, Romuald Boné, Jean Pierre Asselin de Beauville: Model Comparison for Monthly Forecasts of the CAC 40. ICONIP 1998: 1033-1036
2		Romuald Boné, Michel Crucianu, Pascal Makris, Jean Pierre Asselin de Beauville: A Web Oriented Recurrent Neural Network Simulator. ICONIP 1998: 97-100
1996
1		Romuald Boné, Christophe Daguin, Antoine Georgevail, Denis Maurel: Time Series Forecasting by Finite-State Automata. Workshop on Implementing Automata 1996: 26-34

Coauthor Index

1	Mohammad Assaad	[10] [11] [17]
2	Jean Pierre Asselin de Beauville	[2] [3] [4] [5] [6] [7] [8]
3	Hubert Cardot	[9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19]
4	Laurent D. Cohen	[20]
5	Michel Crucianu	[2] [3] [4] [5] [6] [7] [8]
6	Christophe Daguin	[1]
7	Sébastian Delest	[14]
8	Antoine Georgevail	[1]
9	Pascal Makris	[2] [12] [13] [15] [16]
10	Denis Maurel	[1]
11	Julien Mille	[12] [13] [15] [16] [20]
12	Cedric Mocquillon	[19]
13	Julien Olivier	[18] [19]
14	Jean-Jacques Rousselle	[18] [19]
15	Crucianu Uhry	[4]
16	Gilles Verley	[5]

Colors in the list of coauthors