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Incorporating domain knowledge in machine learning for soccer outcome prediction.

D. Berrar, P. Lopes, and W. Dubitzky. Machine Learning, 108 (1): 97-126 (2019)

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To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Daniel Holder University of Stuttgart

Laser micromachining of bionic transport structures on cemented tungsten carbide for passive directional transport of lubricantsD. Holder, N. Kessenbrock, K. Cirakoglu, C. Hagenlocher, and T. Graf. 123, page 452–457. Elsevier BV, (2024)

Dr. -Ing. Daniel Markthaler University of Stuttgart

Replication Data for: Biocatalytic stereocontrolled head-to-tail cyclizations of unbiased terpenes as a tool in chemoenzymatic synthesisN. Hansen, and D. Markthaler. Dataset, (2024)Related to: Schneider, Andreas; Lystbæk, Thomas B.; Markthaler, Daniel; Hansen, Niels; Hauer, Bernhard (2024): Biocatalytic stereocontrolled head-to-tail cyclizations of unbiased terpenes as a tool in chemoenzymatic synthesis. In: Nature Communications, 15, 4925. doi: 10.1038/s41467-024-48993-9.

Univ. -Prof. Dr. Daniel Weiskopf University of Stuttgart

Supplemental Materials for: Visual Analysis of Fitness Landscapes in Architectural Design OptimizationM. Abdelaal, M. Galuschka, M. Zorn, F. Kannenberg, A. Menges, T. Wortmann, D. Weiskopf, and K. Kurzhals. Software, (2024)Related to: Manuscript accepted for publication in the Visual Computer journal.

Daniel Marino

Daniel Roth

Other publications of authors with the same name

On the Noise Resilience of Ranking Measures.D. Berrar. ICONIP (2), volume 9948 of Lecture Notes in Computer Science, page 47-55. (2016)Confidence curves: an alternative to null hypothesis significance testing for the comparison of classifiers.D. Berrar. Machine Learning, 106 (6): 911-949 (2017)Incorporating domain knowledge in machine learning for soccer outcome prediction.D. Berrar, P. Lopes, and W. Dubitzky. Machine Learning, 108 (1): 97-126 (2019)SOINN+, a Self-Organizing Incremental Neural Network for Unsupervised Learning from Noisy Data Streams.C. Wiwatcharakoses, and D. Berrar. Expert Syst. Appl., (2020)Self-Organizing Incremental Neural Networks for Continual Learning.C. Wiwatcharakoses, and D. Berrar. IJCAI, page 6476-6477. ijcai.org, (2019)Guest editorial: special issue on machine learning for soccer.D. Berrar, P. Lopes, J. Davis, and W. Dubitzky. Machine Learning, 108 (1): 1-7 (2019)The Open International Soccer Database for machine learning.W. Dubitzky, P. Lopes, J. Davis, and D. Berrar. Machine Learning, 108 (1): 9-28 (2019)Should significance testing be abandoned in machine learning?D. Berrar, and W. Dubitzky. Int. J. Data Sci. Anal., 7 (4): 247-257 (2019)Learning from automatically labeled data: case study on click fraud prediction.D. Berrar. Knowl. Inf. Syst., 46 (2): 477-490 (2016)Detecting click fraud in online advertising: a data mining approach.R. Oentaryo, E. Lim, M. Finegold, D. Lo, F. Zhu, C. Phua, E. Cheu, G. Yap, K. Sim, M. Nguyen and 8 other author(s). J. Mach. Learn. Res., 15 (1): 99-140 (2014)