Giuseppe Casalicchio - Google Scholar Citations

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	All	Since 2014
Citations	765	750
h-index	7	7
i10-index	7	7

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20132014201520162017201820195 9 35 56 130 231 277

Co-authors

Bernd BischlHead of "Computational Statistics" Group, LMU MunichVerified email at stat.uni-muenchen.de
Michel LangTU DortmundVerified email at statistik.tu-dortmund.de
Joaquin VanschorenEindhoven University of TechnologyVerified email at tue.nl
Jan N. van RijnColumbia UniversityVerified email at liacs.leidenuniv.nl
Jakob RichterPh.D. Candidate, TU DortmundVerified email at statistik.tu-dortmund.de
Lars KotthoffUniversity of WyomingVerified email at uwyo.edu
Zachary M. JonesUniversity of WashingtonVerified email at uw.edu
Erich StuderusLecturer and postdoctoral researcher at the University of Basel, Department of PsychologyVerified email at unibas.ch
Jakob BossekWestfälische Wilhelms Universität MünsterVerified email at wi.uni-muenster.de
Pascal KerschkeUniversity of MünsterVerified email at uni-muenster.de
Benjamin HofnerHead of Section Biostatistics, Paul-Ehrlich-InstituteVerified email at pei.de
Matthias FeurerMachine Learning group, University of FreiburgVerified email at informatik.uni-freiburg.de
Helmut KüchenhoffProfessor für Statistik, LMU MünchenVerified email at stat.uni-muenchen.de
Andreas BenderLudwig-Maximilians-Universität MünchenVerified email at stat.uni-muenchen.de
Rafael Gomes MantovaniUniversity of São PauloVerified email at icmc.usp.br
Frank HutterProfessor of Computer Science, University of Freiburg, GermanyVerified email at cs.uni-freiburg.de
Quay AuMember of "Computational Statistics" Group, LMU MunichVerified email at stat.uni-muenchen.de
Clemens StachlPost-Doctorial Researcher, Stanford UniversityVerified email at stanford.edu
Gerhard TutzVerified email at stat.uni-muenchen.de
Anne-Laure BoulesteixLudwig-Maximilians-Universität MünchenVerified email at ibe.med.uni-muenchen.de

Giuseppe Casalicchio

LMU München

Verified email at campus.lmu.de

Machine Learning Interpretable Machine Learning Benchmark Experiments Hyperparameter Tuning Statistik


Title	Cited by	Year
OpenML: A networked science platform for machine learning J Vanschoren, JN van Rijn, B Bischl, G Casalicchio, M Lang, M Feurer 2015 ICML Workshop on Machine Learning Open Source Software (MLOSS 2015)., 2015	342*	2015
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	294	2016
OpenML: An R package to connect to the machine learning platform OpenML G Casalicchio, J Bossek, M Lang, D Kirchhoff, P Kerschke, B Hofner, ... Computational Statistics, 1-15, 2017	25*	2017
OpenML benchmarking suites and the OpenML100 B Bischl, G Casalicchio, M Feurer, F Hutter, M Lang, RG Mantovani, ... arXiv preprint arXiv:1708.03731, 2017	22	2017
iml: An R package for Interpretable Machine Learning. C Molnar, G Casalicchio, B Bischl J. Open Source Software 3 (26), 786, 2018	17	2018
Visualizing the feature importance for black box models G Casalicchio, C Molnar, B Bischl Joint European Conference on Machine Learning and Knowledge Discovery in …, 2018	16	2018
Prevalence and severity of foot pad alterations in German turkey poults during the early rearing phase S Bergmann, N Ziegler, T Bartels, J Hübel, C Schumacher, E Rauch, ... Poultry science 92 (5), 1171-1176, 2013	15	2013
Multilabel classification with R package mlr P Probst, Q Au, G Casalicchio, C Stachl, B Bischl arXiv preprint arXiv:1703.08991, 2017	7	2017
Subject-specific Bradley–Terry–Luce models with implicit variable selection G Casalicchio, G Tutz, G Schauberger Statistical Modelling 15 (6), 526-547, 2015	6	2015
ordBTL: Modelling comparison data with ordinal response G Casalicchio R package version 0.8, 2013	6	2013
The residual‐based predictiveness curve: A visual tool to assess the performance of prediction models G Casalicchio, B Bischl, AL Boulesteix, M Schmid Biometrics 72 (2), 392-401, 2016	5	2016
Quantifying Interpretability of Arbitrary Machine Learning Models Through Functional Decomposition C Molnar, G Casalicchio, B Bischl arXiv preprint arXiv:1904.03867, 2019	4	2019
Climate parameters and the influence on the footpad health status of fattening turkeys BUT 6 during the early rearing phase. N Ziegler, S Bergmann, J Hübel, T Bartels, C Schumacher, A Bender, ... Berliner und Münchener Tierärztliche Wochenschrift 126 (5/6), 181-188, 2013	3*	2013
Nonlinear analysis to detect if excellent nursing work environments have highest well‐being G Casalicchio, E Lesaffre, H Küchenhoff, L Bruyneel Journal of Nursing Scholarship 49 (5), 537-547, 2017	2	2017
Sampling, Intervention, Prediction, Aggregation: A Generalized Framework for Model Agnostic Interpretations CA Scholbeck, C Molnar, C Heumann, B Bischl, G Casalicchio arXiv preprint arXiv:1904.03959, 2019	1	2019
Component-Wise Boosting of Targets for Multi-Output Prediction Q Au, D Schalk, G Casalicchio, R Schoedel, C Stachl, B Bischl arXiv preprint arXiv:1904.03943, 2019		2019
On benchmark experiments and visualization methods for the evaluation and interpretation of machine learning models G Casalicchio lmu, 2019		2019

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