| 2010 | ||
|---|---|---|
| j5 | 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 | ||
| j4 | 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 | ||
| j3 | Peter Antal, Norbert Bátfai, István Fazekas, Péter Jeszenszky: The mobiDÁIK Educational Portal. J. UCS 12(9): 1118-1127 (2006) | |
| c9 | Peter Antal, András Gezsi, Gábor Hullám, András Millinghoffer: Learning Complex Bayesian Network Features for Classification. Probabilistic Graphical Models 2006: 9-16 | |
| c8 | Peter Antal, András Millinghoffer: Literature Mining using Bayesian Networks. Probabilistic Graphical Models 2006: 17-24 | |
| 2004 | ||
| j2 | 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 | ||
| j1 | 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) | |
| c7 | 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 | |
| 2002 | ||
| c6 | 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 | |
| c5 | 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 | |
| c4 | Peter Antal, Patrick Glenisson, Geert Fannes: On the potential of domain literature for clustering and Bayesian network learning. KDD 2002: 405-414 | |
| 2001 | ||
| c3 | 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 | |
| c2 | 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 | ||
| c1 | 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 | |
Colors in the list of coauthors
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