Bernd Bischl
Bernd Bischl
Head of "Computational Statistics" Group, LMU Munich
Verified email at
TitleCited byYear
OpenML: networked science in machine learning
J Vanschoren, JN Van Rijn, B Bischl, L Torgo
ACM SIGKDD Explorations Newsletter 15 (2), 49-60, 2014
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
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
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
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
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
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
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
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
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
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
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
mlr: Machine Learning in R. R package version 2.9
B Bischl, M Lang, J Richter, J Bossek, L Judt, T Kuehn, E Studerus, ...
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
batchtools: Tools for R to work on batch systems
M Lang, B Bischl, D Surmann
The Journal of Open Source Software 2 (10), 2017
Tunability: Importance of Hyperparameters of Machine Learning Algorithms.
P Probst, AL Boulesteix, B Bischl
Journal of Machine Learning Research 20 (53), 1-32, 2019
Local search and the traveling salesman problem: A feature-based characterization of problem hardness
O Mersmann, B Bischl, J Bossek, H Trautmann, M Wagner, F Neumann
International Conference on Learning and Intelligent Optimization, 115-129, 2012
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
Automatic model selection for high-dimensional survival analysis
M Lang, H Kotthaus, P Marwedel, C Weihs, J Rahnenführer, B Bischl
Journal of Statistical Computation and Simulation 85 (1), 62-76, 2015
Cell mapping techniques for exploratory landscape analysis
P Kerschke, M Preuss, C Hernández, O Schütze, JQ Sun, C Grimme, ...
EVOLVE-A Bridge between Probability, Set Oriented Numerics, and Evolutionary …, 2014
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