Balázs Kégl

	2012
37		Djalel Benbouzid, Róbert Busa-Fekete, Norman Casagrande, François-David Collin, Balázs Kégl: MULTIBOOST: A Multi-purpose Boosting Package. Journal of Machine Learning Research 13: 549-553 (2012)
36		Rémi Bardenet, Olivier Cappé, Gersende Fort, Balázs Kégl: Adaptive Metropolis with Online Relabeling. Journal of Machine Learning Research - Proceedings Track 22: 91-99 (2012)
	2011
35		Róbert Busa-Fekete, Balázs Kégl, Tamás Éltetö, György Szarvas: A Robust Ranking Methodology Based on Diverse Calibration of AdaBoost. ECML/PKDD (1) 2011: 263-279
34		James Bergstra, Rémi Bardenet, Yoshua Bengio, Balázs Kégl: Algorithms for Hyper-Parameter Optimization. NIPS 2011: 2546-2554
33		Róbert Busa-Fekete, Balázs Kégl, Tamás Éltetö, György Szarvas: Ranking by calibrated AdaBoost. Journal of Machine Learning Research - Proceedings Track 14: 37-48 (2011)
	2010
32		Róbert Busa-Fekete, Balázs Kégl: Fast boosting using adversarial bandits. ICML 2010: 143-150
31		Rémi Bardenet, Balázs Kégl: Surrogating the surrogate: accelerating Gaussian-process-based global optimization with a mixture cross-entropy algorithm. ICML 2010: 55-62
30		Guangyi Chen, Wei-Ping Zhu, Balázs Kégl, Róbert Busa-Fekete: Palmprint Classification Using Wavelets and AdaBoost. ISNN (2) 2010: 178-183
29		Julien Perez, Cécile Germain-Renaud, Balázs Kégl, Charles Loomis: Multi-objective Reinforcement Learning for Responsive Grids. J. Grid Comput. 8(3): 473-492 (2010)
28		Guangyi Chen, Balázs Kégl: Invariant pattern recognition using contourlets and AdaBoost. Pattern Recognition 43(3): 579-583 (2010)
	2009
27		Balázs Kégl, Róbert Busa-Fekete: Boosting products of base classifiers. ICML 2009: 63
26		András Bánhalmi, Róbert Busa-Fekete, Balázs Kégl: A One-Class Classification Approach for Protein Sequences and Structures. ISBRA 2009: 310-322
25		Róbert Busa-Fekete, Balázs Kégl: Accelerating AdaBoost using UCB. Journal of Machine Learning Research - Proceedings Track 7: 111-122 (2009)
	2008
24		Julien Perez, Cécile Germain-Renaud, Balázs Kégl, Charles Loomis: Grid Differentiated Services: A Reinforcement Learning Approach. CCGRID 2008: 287-294
23		Julien Perez, Cécile Germain-Renaud, Balázs Kégl, Charles Loomis: Utility-Based Reinforcement Learning for Reactive Grids. ICAC 2008: 205-206
	2007
22		Nicolas Le Roux, Yoshua Bengio, Pascal Lamblin, Marc Joliveau, Balázs Kégl: Learning the 2-D Topology of Images. NIPS 2007
21		Guangyi Chen, Balázs Kégl: Palmprint classification using contourlets. SMC 2007: 1003-1007
20		Guangyi Chen, Balázs Kégl: Feature extraction using Radon, wavelet and fourier transform. SMC 2007: 1020-1025
19		Sébastien Gambs, Balázs Kégl, Esma Aïmeur: Privacy-preserving boosting. Data Min. Knowl. Discov. 14(1): 131-170 (2007)
18		Guangyi Chen, Balázs Kégl: Image denoising with complex ridgelets. Pattern Recognition 40(2): 578-585 (2007)
	2006
17		Guangyi Chen, Balázs Kégl: Invariant Radon-Wavelet Packet Signatures for Pattern Recognition. CCECE 2006: 1471-1474
16		James Bergstra, Norman Casagrande, Dumitru Erhan, Douglas Eck, Balázs Kégl: Aggregate features and ADABOOSTfor music classification. Machine Learning 65(2-3): 473-484 (2006)
	2005
15		Balázs Kégl, Guy Lapalme: Advances in Artificial Intelligence, 18th Conference of the Canadian Society for Computational Studies of Intelligence, Canadian AI 2005, Victoria, Canada, May 9-11, 2005, Proceedings Springer 2005
14		Norman Casagrande, Douglas Eck, Balázs Kégl: Frame-Level Audio Feature Extraction Using AdaBoost. ISMIR 2005: 345-350
	2004
13		Balázs Kégl, Ligen Wang: Boosting on Manifolds: Adaptive Regularization of Base Classifiers. NIPS 2004
12		Balázs Kégl: Generalization Error and Algorithmic Convergence of Median Boosting. NIPS 2004
	2003
11		Balázs Kégl: Robust Regression by Boosting the Median. COLT 2003: 258-272
	2002
10		Danielle Azar, Doina Precup, Salah Bouktif, Balázs Kégl, Houari A. Sahraoui: Combining and Adapting Software Quality Predictive Models by Genetic Algorithms. ASE 2002: 285-288
9		Salah Bouktif, Houari A. Sahraoui, Balázs Kégl: Combining Software Quality Predictive Models: An Evolutionary Approach. ICSM 2002: 385-392
8		Balázs Kégl: Intrinsic Dimension Estimation Using Packing Numbers. NIPS 2002: 681-688
7		Balázs Kégl, Adam Krzyzak: Piecewise Linear Skeletonization Using Principal Curves. IEEE Trans. Pattern Anal. Mach. Intell. 24(1): 59-74 (2002)
6		András Antos, Balázs Kégl, Tamás Linder, Gábor Lugosi: Data-dependent margin-based generalization bounds for classification. Journal of Machine Learning Research 3: 73-98 (2002)
	2001
5		Balázs Kégl, Tamás Linder, Gábor Lugosi: Data-Dependent Margin-Based Generalization Bounds for Classification. COLT/EuroCOLT 2001: 368-384
	2000
4		Balázs Kégl, Adam Krzyzak, Heinrich Niemann: Radial Basis Function Networks and Complexity Regularization in Function Learning and Classification. ICPR 2000: 2081-2086
3		Balázs Kégl, Adam Krzyzak: Piecewise Linear Skeletonization Using Principal Curves. ICPR 2000: 3135-3138
2		Balázs Kégl, Adam Krzyzak, Tamás Linder, Kenneth Zeger: Learning and Design of Principal Curves. IEEE Trans. Pattern Anal. Mach. Intell. 22(3): 281-297 (2000)
	1998
1		Balázs Kégl, Adam Krzyzak, Tamás Linder, Kenneth Zeger: A Polygonal Line Algorithm for Constructing Principal Curves. NIPS 1998: 501-507

Coauthor Index

1	Esma Aïmeur	[19]
2	András Antos	[6]
3	Danielle Azar	[10]
4	András Bánhalmi	[26]
5	Rémi Bardenet	[31] [34] [36]
6	Djalel Benbouzid	[37]
7	Yoshua Bengio	[22] [34]
8	James Bergstra	[16] [34]
9	Salah Bouktif	[9] [10]
10	Róbert Busa-Fekete	[25] [26] [27] [30] [32] [33] [35] [37]
11	Olivier Cappé	[36]
12	Norman Casagrande	[14] [16] [37]
13	Guangyi Chen	[17] [18] [20] [21] [28] [30]
14	François-David Collin	[37]
15	Douglas Eck	[14] [16]
16	Tamás Éltetö	[33] [35]
17	Dumitru Erhan	[16]
18	Gersende Fort	[36]
19	Sébastien Gambs	[19]
20	Cécile Germain-Renaud (Cécile Germain)	[23] [24] [29]
21	Marc Joliveau	[22]
22	Adam Krzyzak	[1] [2] [3] [4] [7]
23	Pascal Lamblin	[22]
24	Guy Lapalme	[15]
25	Tamás Linder	[1] [2] [5] [6]
26	Charles Loomis	[23] [24] [29]
27	Gábor Lugosi	[5] [6]
28	Heinrich Niemann	[4]
29	Julien Perez	[23] [24] [29]
30	Doina Precup	[10]
31	Nicolas Le Roux	[22]
32	Houari A. Sahraoui	[9] [10]
33	György Szarvas	[33] [35]
34	Ligen Wang	[13]
35	Kenneth Zeger	[1] [2]
36	Wei-Ping Zhu	[30]

Colors in the list of coauthors

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