Eric Granger

	2012
32		Jean-François Connolly, Eric Granger, Robert Sabourin: An adaptive classification system for video-based face recognition. Inf. Sci. 192: 50-70 (2012)
31		Wael Khreich, Eric Granger, Ali Miri, Robert Sabourin: A survey of techniques for incremental learning of HMM parameters. Inf. Sci. 197: 105-130 (2012)
30		Wael Khreich, Eric Granger, Ali Miri, Robert Sabourin: Adaptive ROC-based ensembles of HMMs applied to anomaly detection. Pattern Recognition 45(1): 208-230 (2012)
29		Luana Batista, Eric Granger, Robert Sabourin: Dynamic selection of generative-discriminative ensembles for off-line signature verification. Pattern Recognition 45(4): 1326-1340 (2012)
28		Jean-François Connolly, Eric Granger, Robert Sabourin: Evolution of heterogeneous ensembles through dynamic particle swarm optimization for video-based face recognition. Pattern Recognition 45(7): 2460-2477 (2012)
	2011
27		Luana Batista, Eric Granger, Robert Sabourin: Dynamic Ensemble Selection for Off-Line Signature Verification. MCS 2011: 157-166
26		Wael Khreich, Eric Granger, Ali Miri, Robert Sabourin: Incremental Boolean Combination of Classifiers. MCS 2011: 340-349
25		Bassem S. Rabil, Robert Sabourin, Eric Granger: Watermarking Stack of Grayscale Face Images as Dynamic Multi-Objective Optimization Problem. MDA 2011: 63-77
24		Eduardo Vellasques, Robert Sabourin, Eric Granger: A high throughput system for intelligent watermarking of bi-tonal images. Appl. Soft Comput. 11(8): 5215-5229 (2011)
	2010
23		Luana Batista, Eric Granger, Robert Sabourin: Applying Dissimilarity Representation to Off-Line Signature Verification. ICPR 2010: 1293-1297
22		Wael Khreich, Eric Granger, Ali Miri, Robert Sabourin: Boolean Combination of Classifiers in the ROC Space. ICPR 2010: 4299-4303
21		Jean-François Connolly, Eric Granger, Robert Sabourin: An adaptive ensemble of fuzzy ARTMAP neural networks for video-based face classification. IEEE Congress on Evolutionary Computation 2010: 1-8
20		Eric Granger, Donavan Prieur, Jean-François Connolly: Evolving ARTMAP neural networks using Multi-Objective Particle Swarm Optimization. IEEE Congress on Evolutionary Computation 2010: 1-8
19		Bassem S. Rabil, Robert Sabourin, Eric Granger: Intelligent Watermarking with Multi-objective Population Based Incremental Learning. IIH-MSP 2010: 131-134
18		Eduardo Vellasques, Robert Sabourin, Eric Granger: Intelligent Watermarking of Document Images as a Dynamic Optimization Problem. IIH-MSP 2010: 139-142
17		Luana Batista, Eric Granger, Robert Sabourin: A Multi-Classifier System for Off-Line Signature Verification Based on Dissimilarity Representation. MCS 2010: 264-273
16		Luana Batista, Eric Granger, Robert Sabourin: Improving performance of HMM-based off-line signature verification systems through a multi-hypothesis approach. IJDAR 13(1): 33-47 (2010)
15		Wael Khreich, Eric Granger, Ali Miri, Robert Sabourin: Iterative Boolean combination of classifiers in the ROC space: An application to anomaly detection with HMMs. Pattern Recognition 43(8): 2732-2752 (2010)
14		Wael Khreich, Eric Granger, Ali Miri, Robert Sabourin: On the memory complexity of the forward-backward algorithm. Pattern Recognition Letters 31(2): 91-99 (2010)
	2009
13		Wael Khreich, Eric Granger, Robert Sabourin, Ali Miri: Combining Hidden Markov Models for Improved Anomaly Detection. ICC 2009: 1-6
12		Luana Batista, Eric Granger, Robert Sabourin: A Multi-Hypothesis Approach for Off-Line Signature Verification with HMMs. ICDAR 2009: 1315-1319
	2008
11		Jean-François Connolly, Eric Granger, Robert Sabourin: Supervised Incremental Learning with the Fuzzy ARTMAP Neural Network. ANNPR 2008: 66-77
10		Eric Granger, Jean-François Connolly, Robert Sabourin: A comparison of fuzzy ARTMAP and Gaussian ARTMAP neural networks for incremental learning. IJCNN 2008: 3305-3312
	2007
9		Mamoudou Barry, Eric Granger: Comparison of ARTMAP Neural Networks for Classification for Face Recognition from Video. ICIAR 2007: 794-805
8		Mamoudou Barry, Eric Granger: Face Recognition in Video Using a What-and-Where Fusion Neural Network. IJCNN 2007: 2256-2261
	2006
7		Guillaume Latombe, Eric Granger, Fred A. Dilkes: Maximum Likelihood and the Graphical Em Algorithm. CCECE 2006: 1475-1480
6		Eric Granger, Philippe Henniges, Luiz S. Oliveira, Robert Sabourin: Particle Swarm Optimization of Fuzzy ARTMAP Parameters. IJCNN 2006: 2060-2067
	2003
5		Eric Granger, Yvon Savaria, Pierre Lavoie: A Pattern Reordering Approach Based on Ambiguity Detection for Online Category Learning. IEEE Trans. Pattern Anal. Mach. Intell. 25(4): 524-528 (2003)
	2001
4		Eric Granger, Mark A. Rubin, Stephen Grossberg, Pierre Lavoie: A What-and-Where fusion neural network for recognition and tracking of multiple radar emitters. Neural Networks 14(3): 325-344 (2001)
	2000
3		Eric Granger, Mark A. Rubin, Stephen Grossberg, Pierre Lavoie: Classification of Incomplete Data Using the Fuzzy ARTMAP Neural Network. IJCNN (6) 2000: 35-40
	1998
2		Eric Granger, Stephen Grossberg, Mark A. Rubin, William W. Streilein: Familiarity Discrimination of Radar Pulses. NIPS 1998: 875-881
1		Eric Granger, Yvon Savaria, Pierre Lavoie, Marc-André Cantin: A comparison of self-organizing neural networks for fast clustering of radar pulses. Signal Processing 64(3): 249-269 (1998)

Coauthor Index

1	Mamoudou Barry	[8] [9]
2	Luana Batista	[12] [16] [17] [23] [27] [29]
3	Marc-André Cantin	[1]
4	Jean-François Connolly	[10] [11] [20] [21] [28] [32]
5	Fred A. Dilkes	[7]
6	Stephen Grossberg	[2] [3] [4]
7	Philippe Henniges	[6]
8	Wael Khreich	[13] [14] [15] [22] [26] [30] [31]
9	Guillaume Latombe	[7]
10	Pierre Lavoie	[1] [3] [4] [5]
11	Ali Miri	[13] [14] [15] [22] [26] [30] [31]
12	Luiz S. Oliveira (Luiz E. Soares de Oliveira)	[6]
13	Donavan Prieur	[20]
14	Bassem S. Rabil	[19] [25]
15	Mark A. Rubin	[2] [3] [4]
16	Robert Sabourin	[6] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32]
17	Yvon Savaria	[1] [5]
18	William W. Streilein	[2]
19	Eduardo Vellasques	[18] [24]

Colors in the list of coauthors

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