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
4962014
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
4062016
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
1812011
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
1312016
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
1122012
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
942012
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
89*2017
Tunability: Importance of Hyperparameters of Machine Learning Algorithms.
P Probst, AL Boulesteix, B Bischl
J. Mach. Learn. Res. 20 (53), 1-32, 2019
842019
iml: An R package for interpretable machine learning
C Molnar, G Casalicchio, B Bischl
Journal of Open Source Software 3 (26), 786, 2018
672018
A novel feature-based approach to characterize algorithm performance for the traveling salesperson problem
O Mersmann, B Bischl, H Trautmann, M Wagner, J Bossek, F Neumann
Annals of Mathematics and Artificial Intelligence 69 (2), 151-182, 2013
652013
BatchJobs and BatchExperiments: Abstraction mechanisms for using R in batch environments
B Bischl, M Lang, O Mersmann, C Weihs
Journal of Statistical Software 64 (1), 1-25, 2015
592015
Model-based multi-objective optimization: taxonomy, multi-point proposal, toolbox and benchmark
D Horn, T Wagner, D Biermann, C Weihs, B Bischl
International Conference on Evolutionary Multi-Criterion Optimization, 64-78, 2015
572015
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
562017
OpenML: A collaborative science platform
JN Van Rijn, B Bischl, L Torgo, B Gao, V Umaashankar, S Fischer, ...
Joint european conference on machine learning and knowledge discovery in …, 2013
532013
Tuning and evolution of support vector kernels
P Koch, B Bischl, O Flasch, T Bartz-Beielstein, C Weihs, W Konen
Evolutionary Intelligence 5 (3), 153-170, 2012
532012
batchtools: Tools for R to work on batch systems
M Lang, B Bischl, D Surmann
The Journal of Open Source Software 2 (10), 2017
462017
MOI-MBO: multiobjective infill for parallel model-based optimization
B Bischl, S Wessing, N Bauer, K Friedrichs, C Weihs
International Conference on Learning and Intelligent Optimization, 173-186, 2014
462014
mlr: Machine Learning in R. R package version 2.9
B Bischl, M Lang, J Richter, J Bossek, L Judt, T Kuehn, E Studerus, ...
38*2015
Support vector machines on large data sets: Simple parallel approaches
O Meyer, B Bischl, C Weihs
Data Analysis, Machine Learning and Knowledge Discovery, 87-95, 2014
382014
Analyzing the BBOB results by means of benchmarking concepts
O Mersmann, M Preuss, H Trautmann, B Bischl, C Weihs
Evolutionary Computation 23 (1), 161-185, 2015
372015
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