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Mixture of Decision Trees for Interpretable Machine Learning

S. Brüggenjürgen, N. Schaaf, P. Kerschke, and M. Huber. 21st IEEE International Conference on Machine Learning and Applications, page 1175-1182. IEEE, (2022)
DOI: 10.1109/ICMLA55696.2022.00190

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Pascal Heinzelmann University of Stuttgart

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An Overview of Topic Discovery in Twitter Communication through Social Media Analytics.A. Chinnov, P. Kerschke, C. Meske, S. Stieglitz, and H. Trautmann. AMCIS, Association for Information Systems, (2015)An Expedition to Multimodal Multi-objective Optimization Landscapes.P. Kerschke, and C. Grimme. EMO, volume 10173 of Lecture Notes in Computer Science, page 329-343. Springer, (2017)Workshops at PPSN 2018.R. Purshouse, C. Zarges, S. Cussat-Blanc, M. Epitropakis, M. Gallagher, T. Jansen, P. Kerschke, X. Li, F. Lobo, J. Miller and 9 other author(s). PPSN (2), volume 11102 of Lecture Notes in Computer Science, page 490-497. Springer, (2018)Tutorials at PPSN 2018.G. Pappa, M. Emmerich, A. Bazzan, W. Browne, K. Deb, C. Doerr, M. Durasevic, M. Epitropakis, S. Haraldsson, D. Jakobovic and 27 other author(s). PPSN (2), volume 11102 of Lecture Notes in Computer Science, page 477-489. Springer, (2018)Leveraging TSP Solver Complementarity through Machine Learning.P. Kerschke, L. Kotthoff, J. Bossek, H. Hoos, and H. Trautmann. Evolutionary Computation, (2018)ASlib: A Benchmark Library for Algorithm Selection.B. Bischl, P. Kerschke, L. Kotthoff, M. Lindauer, Y. Malitsky, A. Fréchette, H. Hoos, F. Hutter, K. Leyton-Brown, K. Tierney and 1 other author(s). CoRR, (2015)OpenML: An R Package to Connect to the Networked Machine Learning Platform OpenML.G. Casalicchio, J. Bossek, M. Lang, D. Kirchhoff, P. Kerschke, B. Hofner, H. Seibold, J. Vanschoren, and B. Bischl. CoRR, (2017)Detecting Funnel Structures by Means of Exploratory Landscape Analysis.P. Kerschke, M. Preuss, S. Wessing, and H. Trautmann. GECCO, page 265-272. ACM, (2015)One-Shot Decision-Making with and without Surrogates.J. Bossek, P. Kerschke, A. Neumann, F. Neumann, and C. Doerr. CoRR, (2019)Mixture of Decision Trees for Interpretable Machine LearningS. Brüggenjürgen, N. Schaaf, P. Kerschke, and M. Huber. 21st IEEE International Conference on Machine Learning and Applications, page 1175-1182. IEEE, (2022)