Dirk Timmerman

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 5

Top Topics

Regression Forests

Logistic Regression

Class Imbalance

Top Venues

J. Am. Medical Informatics Assoc.

Comput. Methods Programs Biomed.

J. Biomed. Informatics

Publications

Lasai Barreñada, Paula Dhiman, Dirk Timmerman, Anne-Laure Boulesteix, Ben Van Calster
Understanding random forests and overfitting: a visualization and simulation study. CoRR (2024)
Ruben van den Goorbergh, Maarten van Smeden, Dirk Timmerman, Ben Van Calster
The harm of class imbalance corrections for risk prediction models: illustration and simulation using logistic regression. J. Am. Medical Informatics Assoc. 29 (9) (2022)
Thibaut Vaulet, Maya Al-Memar, Hanine Fourie, Shabnam Bobdiwala, Srdjan Saso, Maria Pipi, Catriona Stalder, Phillip R. Bennett, Dirk Timmerman, Tom Bourne, Bart De Moor
Gradient boosted trees with individual explanations: An alternative to logistic regression for viability prediction in the first trimester of pregnancy. Comput. Methods Programs Biomed. 213 (2022)
Ben Van Calster, Laure Wynants, Dirk Timmerman, Ewout W. Steyerberg, Gary S. Collins
Predictive analytics in health care: how can we know it works? J. Am. Medical Informatics Assoc. 26 (12) (2019)
K. Van Hoorde, Sabine Van Huffel, Dirk Timmerman, Tom Bourne, Ben Van Calster
A spline-based tool to assess and visualize the calibration of multiclass risk predictions. J. Biomed. Informatics 54 (2015)
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. Artif. Intell. Medicine 54 (2) (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)
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. Artif. Intell. Medicine 46 (2) (2009)
Ben Van Calster, Vanya Van Belle, George Condous, Tom Bourne, Dirk Timmerman, Sabine Van Huffel
Multi-class AUC metrics and weighted alternatives. IJCNN (2008)
Ben Van Calster, Dirk Timmerman, Antonia C. Testa, Lil Valentin, Sabine Van Huffel
Multi-class classification of ovarian tumors. ESANN (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)
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 Comput. Appl. 17 (5-6) (2008)
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)
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)
Viktoriya Stalbovskaya, Emmanuel C. Ifeachor, Sabine Van Huffel, Dirk Timmerman
A New Method for Modeling Preoperative Diagnosis of Ovarian Tumors. IEEE Trans. Biomed. Eng. 54 (11) (2007)
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)
Ben Van Calster, Dirk Timmerman, Ian T. Nabney, Lil Valentin, Caroline Van Holsbeke, Sabine Van Huffel
Classifying ovarian tumors using Bayesian Multi-Layer Perceptrons and Automatic Relevance Determination: A multi-center study. EMBC (2006)
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. Artif. Intell. Medicine 30 (3) (2004)
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)
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. Artif. Intell. Medicine 29 (1-2) (2003)
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. Artif. Intell. Medicine 28 (3) (2003)
Stein Aerts, Peter Antal, Dirk Timmerman, Bart De Moor, Yves Moreau
Web-based Data Collection for Uterine Adnexal Tumors: A Case Study. CBMS (2002)
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)
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)
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)
Herman Verrelst, Yves Moreau, Joos Vandewalle, Dirk Timmerman
Use of a Multi-Layer Perceptron to Predict Malignancy in Ovarian Tumors. NIPS (1997)