Dirk Timmerman

Anneleen Daemen, Dirk Timmerman, Thierry Van den Bosch, Cecilia Bottomley, Emma Kirk, Caroline Van Holsbeke, Lil Valentin, Tom Bourne, Bart De Moor: Improved modeling of clinical data with kernel methods. Artificial Intelligence in Medicine 54(2): 103-114 (2012)

Emad Ahmadi, Hoda Javadi, Amin Khansefid, Atousa Asadi, Mohammad Mehdi Ebadzadeh, Dirk Timmerman: Fuzzy Decision Tree Learning for Preoperative Classification of Adnexal Masses. HEALTHINF 2011: 364-375

Ben Van Calster, George Condous, Emma Kirk, Tom Bourne, Dirk Timmerman, Sabine Van Huffel: An application of methods for the probabilistic three-class classification of pregnancies of unknown location. Artificial Intelligence in Medicine 46(2): 139-154 (2009)

Ben Van Calster, Olivier Gevaert, Caroline Van Holsbeke, Bart De Moor, Sabine Van Huffel, Dirk Timmerman: Clinical decision support for ovarian tumor diagnosis using Bayesian models: Results from the IOTA study. Computational Intelligence and Bioengineering 2009: 111-128

Ben Van Calster, Dirk Timmerman, Ian T. Nabney, Lil Valentin, Antonia C. Testa, Caroline Van Holsbeke, Ignace Vergote, Sabine Van Huffel: Using Bayesian neural networks with ARD input selection to detect malignant ovarian masses prior to surgery. Neural Computing and Applications 17(5-6): 489-500 (2008)

Ben Van Calster, Sabine Van Huffel, Dirk Timmerman, Emma Kirk, Tom Bourne, George Condous: Towards a Clinical Decision Support System for Pregnancies of Unknown Location. CBMS 2008: 581-583

Ben Van Calster, Dirk Timmerman, Antonia C. Testa, Lil Valentin, Sabine Van Huffel: Multi-class classification of ovarian tumors. ESANN 2008: 65-70

Ben Van Calster, Vanya Van Belle, George Condous, Tom Bourne, Dirk Timmerman, Sabine Van Huffel: Multi-class AUC metrics and weighted alternatives. IJCNN 2008: 1390-1396

Viktoriya Stalbovskaya, Emmanuel C. Ifeachor, Sabine Van Huffel, Dirk Timmerman: A New Method for Modeling Preoperative Diagnosis of Ovarian Tumors. IEEE Trans. Biomed. Engineering 54(11): 2064-2072 (2007)

Ben Van Calster, Jan Luts, Johan A. K. Suykens, George Condous, Tom Bourne, Dirk Timmerman, Sabine Van Huffel: Comparing Methods for Multi-class Probabilities in Medical Decision Making Using LS-SVMs and Kernel Logistic Regression. ICANN (2) 2007: 139-148

M. S. Hane Aung, Paulo J. G. Lisboa, Terence A. Etchells, Antonia C. Testa, Ben Van Calster, Sabine Van Huffel, Lil Valentin, Dirk Timmerman: Comparing Analytical Decision Support Models Through Boolean Rule Extraction: A Case Study of Ovarian Tumour Malignancy. ISNN (2) 2007: 1177-1186

Olivier Gevaert, Frank De Smet, Dirk Timmerman, Yves Moreau, Bart De Moor: Predicting the prognosis of breast cancer by integrating clinical and microarray data with Bayesian networks. ISMB (Supplement of Bioinformatics) 2006: 184-190

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)

Chuan Lu, Tony Van Gestel, Johan A. K. Suykens, Sabine Van Huffel, Ignace Vergote, Dirk Timmerman: Preoperative prediction of malignancy of ovarian tumors using least squares support vector machines. Artificial Intelligence in Medicine 28(3): 281-306 (2003)

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)

Chuan Lu, Tony Van Gestel, Johan A. K. Suykens, Sabine Van Huffel, Dirk Timmerman, Ignace Vergote: Classification of Ovarian Tumors Using Bayesian Least Squares Support Vector Machines. AIME 2003: 219-228

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

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

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

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

Herman Verrelst, Yves Moreau, Joos Vandewalle, Dirk Timmerman: Use of a Multi-Layer Perceptron to Predict Malignancy in Ovarian Tumors. NIPS 1997