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Bernd Bischl
Bernd Bischl
Chair of Statistical Learning and Data Science, LMU Munich
Bestätigte E-Mail-Adresse bei stat.uni-muenchen.de - Startseite
Titel
Zitiert von
Zitiert von
Jahr
OpenML: networked science in machine learning
J Vanschoren, JN Van Rijn, B Bischl, L Torgo
ACM SIGKDD Explorations Newsletter 15 (2), 49-60, 2014
12662014
mlr: Machine Learning in R
B Bischl, M Lang, L Kotthoff, J Schiffner, J Richter, E Studerus, ...
The Journal of Machine Learning Research 17 (1), 5938-5942, 2016
8332016
Tunability: Importance of hyperparameters of machine learning algorithms
P Probst, AL Boulesteix, B Bischl
The Journal of Machine Learning Research 20 (1), 1934-1965, 2019
6462019
Benchmark for filter methods for feature selection in high-dimensional classification data
A Bommert, X Sun, B Bischl, J Rahnenführer, M Lang
Computational Statistics & Data Analysis 143, 106839, 2020
4582020
Interpretable machine learning–a brief history, state-of-the-art and challenges
C Molnar, G Casalicchio, B Bischl
Joint European conference on machine learning and knowledge discovery in …, 2020
4372020
Exploratory landscape analysis
O Mersmann, B Bischl, H Trautmann, M Preuss, C Weihs, G Rudolph
Proceedings of the 13th annual conference on Genetic and evolutionary …, 2011
3582011
iml: An R package for interpretable machine learning
C Molnar, G Casalicchio, B Bischl
Journal of Open Source Software 3 (26), 786, 2018
3272018
Predicting personality from patterns of behavior collected with smartphones
C Stachl, Q Au, R Schoedel, SD Gosling, GM Harari, D Buschek, ...
Proceedings of the National Academy of Sciences 117 (30), 17680-17687, 2020
280*2020
Amlb: an automl benchmark
P Gijsbers, MLP Bueno, S Coors, E LeDell, S Poirier, J Thomas, B Bischl, ...
arXiv preprint arXiv:2207.12560, 2022
279*2022
Aslib: A benchmark library for algorithm selection
B Bischl, P Kerschke, L Kotthoff, M Lindauer, Y Malitsky, A Fréchette, ...
Artificial Intelligence 237, 41-58, 2016
2422016
Multi-objective counterfactual explanations
S Dandl, C Molnar, M Binder, B Bischl
International Conference on Parallel Problem Solving from Nature, 448-469, 2020
2352020
mlr3: A modern object-oriented machine learning framework in R
M Lang, M Binder, J Richter, P Schratz, F Pfisterer, S Coors, Q Au, ...
Journal of Open Source Software 4 (44), 1903, 2019
2252019
Visualizing the feature importance for black box models
G Casalicchio, C Molnar, B Bischl
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2019
2142019
Resampling methods for meta-model validation with recommendations for evolutionary computation
B Bischl, O Mersmann, H Trautmann, C Weihs
Evolutionary computation 20 (2), 249-275, 2012
2072012
mlrMBO: A modular framework for model-based optimization of expensive black-box functions
B Bischl, J Richter, J Bossek, D Horn, J Thomas, M Lang
arXiv preprint arXiv:1703.03373, 2017
200*2017
Algorithm selection based on exploratory landscape analysis and cost-sensitive learning
B Bischl, O Mersmann, H Trautmann, M Preuß
Proceedings of the 14th annual conference on Genetic and evolutionary …, 2012
1682012
Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges
B Bischl, M Binder, M Lang, T Pielok, J Richter, S Coors, J Thomas, ...
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 13 (2 …, 2023
1592023
Openml benchmarking suites
B Bischl, G Casalicchio, M Feurer, P Gijsbers, F Hutter, M Lang, ...
arXiv preprint arXiv:1708.03731, 2017
1532017
Personality traits predict smartphone usage
C Stachl, S Hilbert, JQ Au, D Buschek, A De Luca, B Bischl, H Hussmann, ...
European Journal of Personality 31 (6), 701-722, 2017
1512017
General pitfalls of model-agnostic interpretation methods for machine learning models
C Molnar, G König, J Herbinger, T Freiesleben, S Dandl, CA Scholbeck, ...
International Workshop on Extending Explainable AI Beyond Deep Models and …, 2020
143*2020
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