Dirk Timmerman
Orcid: 0000-0002-3707-6645
According to our database1,
Dirk Timmerman
authored at least 27 papers
between 1997 and 2024.
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Bibliography
2024
CoRR, 2024
2022
The harm of class imbalance corrections for risk prediction models: illustration and simulation using logistic regression.
J. Am. Medical Informatics Assoc., 2022
Gradient boosted trees with individual explanations: An alternative to logistic regression for viability prediction in the first trimester of pregnancy.
Comput. Methods Programs Biomed., 2022
2019
J. Am. Medical Informatics Assoc., 2019
2015
A spline-based tool to assess and visualize the calibration of multiclass risk predictions.
J. Biomed. Informatics, 2015
2012
Artif. Intell. Medicine, 2012
2011
Fuzzy Decision Tree Learning for Preoperative Classification of Adnexal Masses.
Proceedings of the HEALTHINF 2011, 2011
2009
Clinical decision support for ovarian tumor diagnosis using Bayesian models: Results from the IOTA study.
Proceedings of the Computational Intelligence and Bioengineering, 2009
An application of methods for the probabilistic three-class classification of pregnancies of unknown location.
Artif. Intell. Medicine, 2009
2008
Using Bayesian neural networks with ARD input selection to detect malignant ovarian masses prior to surgery.
Neural Comput. Appl., 2008
Proceedings of the International Joint Conference on Neural Networks, 2008
Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008
Proceedings of the Twenty-First IEEE International Symposium on Computer-Based Medical Systems, 2008
2007
IEEE Trans. Biomed. Eng., 2007
Comparing Analytical Decision Support Models Through Boolean Rule Extraction: A Case Study of Ovarian Tumour Malignancy.
Proceedings of the Advances in Neural Networks, 2007
Comparing Methods for Multi-class Probabilities in Medical Decision Making Using LS-SVMs and Kernel Logistic Regression.
Proceedings of the Artificial Neural Networks, 2007
2006
Predicting the prognosis of breast cancer by integrating clinical and microarray data with Bayesian networks.
Proceedings of the Proceedings 14th International Conference on Intelligent Systems for Molecular Biology 2006, 2006
Classifying ovarian tumors using Bayesian Multi-Layer Perceptrons and Automatic Relevance Determination: A multi-center study.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
2004
Using literature and data to learn Bayesian networks as clinical models of ovarian tumors.
Artif. Intell. Medicine, 2004
2003
Preoperative prediction of malignancy of ovarian tumors using least squares support vector machines.
Artif. Intell. Medicine, 2003
Bayesian applications of belief networks and multilayer perceptrons for ovarian tumor classification with rejection.
Artif. Intell. Medicine, 2003
Classification of Ovarian Tumors Using Bayesian Least Squares Support Vector Machines.
Proceedings of the Artificial Intelligence in Medicine, 2003
2002
Domain Knowledge Based Information Retrieval Language: An Application Of Annotated Bayesian Network In Ovarian Cancer Domain.
Proceedings of the 15th IEEE Symposium on Computer-Based Medical Systems (CBMS 2002), 2002
Proceedings of the 15th IEEE Symposium on Computer-Based Medical Systems (CBMS 2002), 2002
2001
Extended Bayesian Regression Models: A Symbiotic Application of Belief Networks and Multilayer Perceptrons for the Classification of Ovarian Tumors.
Proceedings of the Artificial Intelligence Medicine, 2001
2000
Proceedings of the 13th IEEE Symposium on Computer-Based Medical Systems (CBMS 2000), 2000
1997
Proceedings of the Advances in Neural Information Processing Systems 10, 1997