Bernd Bischl

Dikutip oleh

	Semua	Sejak 2020
Kutipan	15135	12642
indeks-h	54	45
indeks-i10	132	121

3900

1950

975

2925

201320142015201620172018201920202021202220232024202560 104 173 251 361 567 790 1185 1726 2353 2868 3803 669

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112 artikel

6 artikel

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Giuseppe CasalicchioSenior Lecturer and Researcher, LMU Munich, Munich Center for Machine LearningEmail yang diverifikasi di campus.lmu.de
Michel LangTU Dortmund; LMU MunichEmail yang diverifikasi di statistik.tu-dortmund.de
Janek ThomasLudwig-Maximilians-University MunichEmail yang diverifikasi di stat.uni-muenchen.de
Florian Pfistererhemato GmbH, Ludwig Maximilian University of MunichEmail yang diverifikasi di stat.uni-muenchen.de
Joaquin VanschorenEindhoven University of TechnologyEmail yang diverifikasi di tue.nl
David RügamerProfessor at LMU Munich, PI at Munich Center for Machine LearningEmail yang diverifikasi di stat.uni-muenchen.de
Jakob RichterTU DortmundEmail yang diverifikasi di statistik.tu-dortmund.de
Christoph MolnarIndependent researcher and book authorEmail yang diverifikasi di christophmolnar.com
Olaf MersmannTH KölnEmail yang diverifikasi di p-value.net
Lars KotthoffUniversity of WyomingEmail yang diverifikasi di uwyo.edu
Heike TrautmannProfessor of Machine Learning and Optimisation, Paderborn University, GermanyEmail yang diverifikasi di uni-paderborn.de
Jan N. van RijnLeiden UniversityEmail yang diverifikasi di liacs.leidenuniv.nl
Stefan CoorsComputational Statistics, Ludwig-Maximilians Unversity MunichEmail yang diverifikasi di campus.lmu.de
Daniel HornStatistical Methods for Big Data, TU DortmundEmail yang diverifikasi di tu-dortmund.de
Quay AuMember of "Computational Statistics" Group, LMU MunichEmail yang diverifikasi di stat.uni-muenchen.de
Clemens StachlInstitute of Behavioral Science and Technology, University of St. GallenEmail yang diverifikasi di unisg.ch
Susanne DandlUniversität Zürich (UZH)Email yang diverifikasi di uzh.ch
Marius LindauerLeibniz University Hannover (Germany), Institute of Artificial Intelligence LUH|AI, L3S ResearchEmail yang diverifikasi di ai.uni-hannover.de
Jörg RahnenführerTU Dortmund UniversityEmail yang diverifikasi di statistik.tu-dortmund.de
Julia MoosbauerPhD Student, Ludwig-Maximilians-University MunichEmail yang diverifikasi di stat.uni-muenchen.de

Ikuti

Bernd Bischl

Chair of Statistical Learning and Data Science, LMU Munich

Email yang diverifikasi di stat.uni-muenchen.de - Beranda

Machine Learning Statistics Data Science Statistical Learning Scientific Software


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
OpenML: networked science in machine learning J Vanschoren, JN Van Rijn, B Bischl, L Torgo ACM SIGKDD Explorations Newsletter 15 (2), 49-60, 2014	1628	2014
Tunability: Importance of hyperparameters of machine learning algorithms P Probst, AL Boulesteix, B Bischl Journal of Machine Learning Research 20 (53), 1-32, 2019	1011	2019
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	960	2016
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	759	2020
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	718	2020
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	618	2023
iml: An R package for interpretable machine learning C Molnar, G Casalicchio, B Bischl Journal of Open Source Software 3 (26), 786, 2018	440	2018
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	439	2011
Amlb: an automl benchmark P Gijsbers, MLP Bueno, S Coors, E LeDell, S Poirier, J Thomas, B Bischl, ... Journal of Machine Learning Research 25 (101), 1-65, 2024	401*	2024
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	378	2019
Multi-objective counterfactual explanations S Dandl, C Molnar, M Binder, B Bischl International conference on parallel problem solving from nature, 448-469, 2020	373	2020
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	370	2020
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	308	2016
Visualizing the feature importance for black box models G Casalicchio, C Molnar, B Bischl Machine Learning and Knowledge Discovery in Databases: European Conference …, 2019	303	2019
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	291*	2020
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	237*	2017
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	223	2012
Effectiveness of random search in SVM hyper-parameter tuning RG Mantovani, ALD Rossi, J Vanschoren, B Bischl, AC De Carvalho 2015 international joint conference on neural networks (IJCNN), 1-8, 2015	197	2015
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	183	2012
Openml benchmarking suites B Bischl, G Casalicchio, M Feurer, P Gijsbers, F Hutter, M Lang, ... arXiv preprint arXiv:1708.03731, 2017	176	2017

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