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A spline-based tool to assess and visualize the calibration of multiclass risk predictions.

K. Hoorde, S. Huffel, D. Timmerman, T. Bourne, und B. Calster. Journal of Biomedical Informatics, (2015)

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Univ. -Prof. Dr. Joris van Slageren University of Stuttgart

Electrocatalytic proton reduction: Metal based fused diporphyrins with proton relays for efficient catalysisA. Singha Hazari, S. Chandra, Q. Song, D. Hunger, N. Neuman, J. Slageren, E. Klemm, B. Sarkar, und S. Kar. Dataset, (2024)Related to: Chandra, S., Singha Hazari, A., Song, Q., Hunger, D., Neuman, N. I., van Slageren, J., Klemm, E. & Sarkar, B. (2023). Remarkable Enhancement of Catalytic Activity of Cu-Complexes in the Electrochemical Hydrogen Evolution Reaction by Using Triply Fused Porphyrin. ChemSusChem 16, e202201146. doi: 10.1002/cssc.202201146.

Maximilian Benn University of Stuttgart

Asset information requirement templates for the building information modelling-based provision of facility services in corporate real estate managementM. Benn. Universität Stuttgart, Stuttgart, Dissertation, (2024)

Achim Benz University of Stuttgart

Nina van den Daele University of Stuttgart

Dr. phil. Leo van Waveren University of Stuttgart

Weitere Publikationen von Autoren mit dem selben Namen

Comparing Methods for Multi-class Probabilities in Medical Decision Making Using LS-SVMs and Kernel Logistic Regression.B. Calster, J. Luts, J. Suykens, G. Condous, T. Bourne, D. Timmerman, und S. Huffel. ICANN (2), Volume 4669 von Lecture Notes in Computer Science, Seite 139-148. Springer, (2007)It takes time: A remarkable example of delayed recognition.B. Calster. J. Assoc. Inf. Sci. Technol., 63 (11): 2341-2344 (2012)Using Bayesian neural networks with ARD input selection to detect malignant ovarian masses prior to surgery.B. Calster, D. Timmerman, I. Nabney, L. Valentin, A. Testa, C. Holsbeke, I. Vergote, und S. Huffel. Neural Computing and Applications, 17 (5-6): 489-500 (2008)An application of methods for the probabilistic three-class classification of pregnancies of unknown location.B. Calster, G. Condous, E. Kirk, T. Bourne, D. Timmerman, und S. Huffel. Artificial Intelligence in Medicine, 46 (2): 139-154 (2009)Improving patient prostate cancer risk assessment: Moving from static, globally-applied to dynamic, practice-specific risk calculators.A. Strobl, A. Vickers, B. Calster, E. Steyerberg, R. Leach, I. Thompson, und D. Ankerst. Journal of Biomedical Informatics, (2015)Clinical decision support for ovarian tumor diagnosis using Bayesian models: Results from the IOTA study.B. Calster, O. Gevaert, C. Holsbeke, B. Moor, S. Huffel, und D. Timmerman. Computational Intelligence and Bioengineering, Volume 196 von Frontiers in Artificial Intelligence and Applications, IOS Press, (2009)Multi-class classification of ovarian tumors.B. Calster, D. Timmerman, A. Testa, L. Valentin, und S. Huffel. ESANN, Seite 65-70. (2008)Multi-class AUC metrics and weighted alternatives.B. Calster, V. Belle, G. Condous, T. Bourne, D. Timmerman, und S. Huffel. IJCNN, Seite 1390-1396. IEEE, (2008)Comparing Analytical Decision Support Models Through Boolean Rule Extraction: A Case Study of Ovarian Tumour Malignancy.M. Aung, P. Lisboa, T. Etchells, A. Testa, B. Calster, S. Huffel, L. Valentin, und D. Timmerman. ISNN (2), Volume 4492 von Lecture Notes in Computer Science, Seite 1177-1186. Springer, (2007)A spline-based tool to assess and visualize the calibration of multiclass risk predictions.K. Hoorde, S. Huffel, D. Timmerman, T. Bourne, und B. Calster. Journal of Biomedical Informatics, (2015)