Peter Antal

	2010
14		Gábor Hullám, Peter Antal, Csaba Szalai, András Falus: Evaluation of a Bayesian model-based approach in GA studies. Journal of Machine Learning Research - Proceedings Track 8: 30-43 (2010)
	2008
13		Peter Antal, András Millinghoffer, Gábor Hullám, Csaba Szalai, András Falus: A Bayesian View of Challenges in Feature Selection: Feature Aggregation, Multiple Targets, Redundancy and Interaction. Journal of Machine Learning Research - Proceedings Track 4: 74-89 (2008)
	2006
12		Peter Antal, András Millinghoffer: Literature Mining using Bayesian Networks. Probabilistic Graphical Models 2006: 17-24
11		Peter Antal, András Gezsi, Gábor Hullám, András Millinghoffer: Learning Complex Bayesian Network Features for Classification. Probabilistic Graphical Models 2006: 9-16
10		Peter Antal, Norbert Bátfai, Istvá Fazekas, Péter Jeszenszky: The mobiDÁIK Educational Portal. J. UCS 12(9): 1118-1127 (2006)
	2004
9		Peter Antal, Geert Fannes, Dirk Timmerman, Yves Moreau, Bart De Moor: Using literature and data to learn Bayesian networks as clinical models of ovarian tumors. Artificial Intelligence in Medicine 30(3): 257-281 (2004)
	2003
8		Patrick Glenisson, Peter Antal, Janick Mathys, Yves Moreau, Bart De Moor: Evaluation of the Vector Space Representation in Text-Based Gene Clustering. Pacific Symposium on Biocomputing 2003: 391-402
7		Peter Antal, Geert Fannes, Dirk Timmerman, Yves Moreau, Bart De Moor: Bayesian applications of belief networks and multilayer perceptrons for ovarian tumor classification with rejection. Artificial Intelligence in Medicine 29(1-2): 39-60 (2003)
	2002
6		Peter Antal, Dirk Timmerman, Tamás Mészáros, Tadeusz P. Dobrowiecki: Domain Knowledge Based Information Retrieval Language: An Application Of Annotated Bayesian Network In Ovarian Cancer Domain. CBMS 2002: 213-218
5		Stein Aerts, Peter Antal, Dirk Timmerman, Bart De Moor, Yves Moreau: Web-based Data Collection for Uterine Adnexal Tumors: A Case Study. CBMS 2002: 282-287
4		Peter Antal, Patrick Glenisson, Geert Fannes: On the potential of domain literature for clustering and Bayesian network learning. KDD 2002: 405-414
	2001
3		Peter Antal, Geert Fannes, Bart De Moor, Joos Vandewalle, Yves Moreau, Dirk Timmerman: Extended Bayesian Regression Models: A Symbiotic Application of Belief Networks and Multilayer Perceptrons for the Classification of Ovarian Tumors. AIME 2001: 177-187
2		Peter Antal, Bart De Moor, Tamás Mészáros, Tadeusz P. Dobrowiecki: Annotated Bayesian Networks: A Tool to Integrate Textual and Probabilistic Medical Knowledge. CBMS 2001: 177-182
	2000
1		Peter Antal, Herman Verrelst, Dirk Timmerman, Sabine Van Huffel, Bart De Moor, Ignace Vergote: Bayesian Networks in Ovarian Cancer Diagnosis: Potentials and Limitations. CBMS 2000: 103-108

Coauthor Index

1	Stein Aerts	[5]
2	Norbert Bátfai	[10]
3	Tadeusz P. Dobrowiecki	[2] [6]
4	András Falus	[13] [14]
5	Geert Fannes	[3] [4] [7] [9]
6	Istvá Fazekas	[10]
7	András Gezsi	[11]
8	Patrick Glenisson	[4] [8]
9	Sabine Van Huffel	[1]
10	Gábor Hullám	[11] [13] [14]
11	Péter Jeszenszky	[10]
12	Janick Mathys	[8]
13	Tamás Mészáros	[2] [6]
14	András Millinghoffer	[11] [12] [13]
15	Bart De Moor	[1] [2] [3] [5] [7] [8] [9]
16	Yves Moreau	[3] [5] [7] [8] [9]
17	Csaba Szalai	[13] [14]
18	Dirk Timmerman	[1] [3] [5] [6] [7] [9]
19	Joos Vandewalle	[3]
20	Ignace Vergote	[1]
21	Herman Verrelst	[1]

Colors in the list of coauthors

Last update Sat May 26 04:23:17 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page