journals.bib
@article{bergmann2013prevalence,
title = {{Prevalence and severity of foot pad alterations in German
turkey poults during the early rearing phase}},
author = {Bergmann, S and Ziegler, N and Bartels, T and H{\"u}bel, J
and Schumacher, C and Rauch, E and Brandl, S and Bender, A
and Casalicchio, G and Krautwald-Junghanns, M-E and others},
journal = {Poultry Science},
year = {2013},
number = {5},
pages = {1171--1176},
volume = {92},
doi = {10.3382/ps.2012-02851},
publisher = {Oxford University Press}
}
@article{bischl2012,
author = {Bischl, B. and Mersmann, O. and Trautmann, H. and Weihs,
C. },
title = {{Resampling Methods for Meta-Model Validation with
Recommendations for Evolutionary Computation}},
journal = {Evolutionary Computation},
year = {2012},
volume = {20},
number = {2},
pages = {249--275},
doi = {10.1162/EVCO_a_00069},
url = {http://www.mitpressjournals.org/doi/pdf/10.1162/EVCO_a_00069},
paywall = 0
}
@article{bischl2013_2,
author = {Bischl, Bernd and Schiffner, Julia and Weihs, Claus},
title = {{Benchmarking local classification methods}},
year = {2013},
issn = {0943-4062},
journal = {Computational Statistics},
volume = {28},
number = {6},
pages = {2599-2619},
doi = {10.1007/s00180-013-0420-y},
url = {http://dx.doi.org/10.1007/s00180-013-0420-y},
publisher = {Springer-Verlag},
localpdf = {mypapers/benchmarking_local_classification_methods.pdf},
paywall = 1
}
@article{bischl2014,
author = {Bischl, B. and Kerschke, P. and Kotthoff, L. and Lindauer,
M. and Malitsky, Y. and Frech\'{e}tte, A. and Hoos, H. and
Hutter, F. and Leyton-Brown, K. and Tierney, K. and
Vanschoren, J.},
title = {{{ASlib}: A Benchmark Library for Algorithm Selection}},
journal = {Artificial Intelligence},
year = {2014},
url = {https://arxiv.org/pdf/1506.02465.pdf},
paywall = 0
}
@article{bischl2015,
author = {Bernd Bischl and Michel Lang and Olaf Mersmann and
J\"{o}rg Rahnenf\"{u}hrer and Claus Weihs},
title = {{{BatchJobs} and {BatchExperiments}: Abstraction
Mechanisms for Using {R} in Batch Environments}},
journal = {Journal of Statistical Software},
volume = {64},
number = {11},
pages = {1--25},
day = {20},
month = mar,
year = {2015},
coden = {JSSOBK},
issn = {1548-7660},
url = {http://www.jstatsoft.org/v64/i11}
}
@article{bischl2016mlr,
author = {Bernd Bischl and Michel Lang and Lars Kotthoff and Julia
Schiffner and Jakob Richter and Erich Studerus and Giuseppe
Casalicchio and Zachary M. Jones},
title = {{mlr: Machine Learning in {R}}},
journal = {Journal of Machine Learning Research},
year = {2016},
volume = {17},
number = {170},
pages = {1-5},
url = {http://jmlr.org/papers/v17/15-066.html},
localpdf = {mypapers/mlr_machine_learning_in_r.pdf},
paywall = 0
}
@article{blume2011,
author = {Blume, H. and Bischl, B. and Botteck, M. and Igel, C. and
Martin, R. and Roetter, G. and Rudolph, G. and Theimer, W.
and Vatolkin, I. and Weihs, C.},
title = {{Huge Music Archives on Mobile Devices}},
journal = {IEEE Signal Processing Magazine},
year = {2011},
volume = {28},
number = {4},
pages = {24--39},
doi = {10.1109/MSP.2011.940880},
url = {http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=5888636&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D5888636},
paywall = 1
}
@article{casalicchio2015,
author = {Casalicchio, G. and Bischl, B. and Boulesteix, A.-L. and
Schmid, M.},
title = {{The Residual-based Predictiveness Curve - a Visual Tool
to Assess the Performance of Prediction Models}},
journal = {Biometrics},
year = {2015},
url = {https://epub.ub.uni-muenchen.de/22243/1/TechnicalReport.pdf},
paywall = 0
}
@article{casalicchio20151,
title = {{Subject-specific Bradley-Terry-Luce models with implicit
variable selection}},
author = {Casalicchio, Giuseppe and Tutz, Gerhard and Schauberger,
Gunther},
journal = {Statistical Modelling},
year = {2015},
number = {6},
pages = {526-547},
volume = {15},
doi = {10.1177/1471082X15571817},
eprint = {http://smj.sagepub.com/content/15/6/526.full.pdf+html},
url = {http://smj.sagepub.com/content/15/6/526.abstract}
}
@article{casalicchio2016,
title = {{The residual-based predictiveness curve: A visual tool to
assess the performance of prediction models}},
author = {Casalicchio, Giuseppe and Bischl, Bernd and Boulesteix,
Anne-Laure and Schmid, Matthias},
journal = {Biometrics},
year = {2016},
number = {2},
pages = {392--401},
volume = {72},
doi = {10.1111/biom.12455},
issn = {1541-0420},
keywords = {Calibration, Classification, Discrimination,
Predictiveness curve, Risk prediction},
url = {http://dx.doi.org/10.1111/biom.12455}
}
@article{feilke2015,
author = {Feilke, M. and Bischl, B. and Schmid, V.J. and Gertheiss,
J.},
title = {{Boosting in non-linear regression models with an
application to {DCE-MRI} data}},
journal = {Methods of Information in Medicine},
year = {2015},
url = {https://www.schattauer.de/index.php?id=5236&mid=25194&L=1},
paywall = 0
}
@article{horn2016,
author = {Horn, D. and Demircio\u{g}lu, A. and Bischl, B. and
Glasmachers, T. and Weihs, C.},
title = {{A Comparative Study on Large Scale Kernelized Support
Vector Machines}},
journal = {Advances in Data Analysis and Classification},
year = {2016},
pages = {1--17},
issn = {1862-5355},
doi = {10.1007/s11634-016-0265-7},
url = {http://dx.doi.org/10.1007/s11634-016-0265-7},
localpdf = {mypapers/a_comperative_study_on_large_scale_kernelized_support_vector_machines.pdf},
paywall = 1
}
@article{koch2012,
author = {Koch, P. and Bischl, B. and Flasch, O. and
Bartz-Beielstein, T. and Weihs, C. and Konen, W.},
title = {{Tuning and evolution of support vector kernels}},
journal = {Evolutionary Intelligence},
year = {2012},
volume = {5},
number = {3},
pages = {153--170},
doi = {10.1007/s12065-012-0073-8},
url = {http://link.springer.com/article/10.1007\%2Fs12065-012-0073-8},
localpdf = {mypapers/tuning_and_evolution_of_support_vector_kernels.pdf},
paywall = 1
}
@article{kotthaus2014,
author = {Kotthaus, H. and Korb, I. and Lang, M. and Bischl, B. and
Rahnenführer, J. and Marwedel, P.},
title = {{Runtime and memory consumption analyses for machine
learning {R} programs}},
journal = {Journal of Statistical Computation and Simulation},
volume = {85},
number = {1},
pages = {14-29},
year = {2015},
doi = {10.1080/00949655.2014.925192},
url = {http://dx.doi.org/10.1080/00949655.2014.925192},
eprint = {http://dx.doi.org/10.1080/00949655.2014.925192},
localpdf = {mypapers/runtime_and_memory_consumption_analyses_for_machine_learning_r_programs.pdf},
paywall = 1
}
@article{lang2015,
author = {Lang, M. and Kotthaus, H. and Marwedel, P. and Weihs, C.
and Rahnenführer, J. and Bischl, B.},
title = {{Automatic model selection for high-dimensional survival
analysis}},
journal = {Journal of Statistical Computation and Simulation},
volume = {85},
number = {1},
pages = {62-76},
year = {2015},
doi = {10.1080/00949655.2014.929131},
url = {http://dx.doi.org/10.1080/00949655.2014.929131},
localpdf = {mypapers/automatic_model_selection_for_high_dimensional_survival_analysis.pdf},
paywall = 1
}
@article{lang2017batchtools,
title = {{batchtools: Tools for {R} to work on batch systems}},
author = {Lang, Michel and Bischl, Bernd and Surmann, Dirk},
journal = {The Journal of Open Source Software},
volume = {2},
number = {10},
year = {2017},
url = {http://joss.theoj.org/papers/10.21105/joss.00135},
paywall = 0
}
@article{mersmann2013,
author = {Mersmann, O. and Bischl, B. and Trautmann, H. and Wagner,
M. and Bossek, J. and Neumann, F.},
title = {{A novel feature-based approach to characterize algorithm
performance for the traveling salesperson problem}},
journal = {Annals of Mathematics and Artificial Intelligence},
year = {2013},
publisher = {Springer Netherlands},
volume = {March},
pages = {1--32},
doi = {10.1007/s10472-013-9341-2},
url = {http://dx.doi.org/10.1007/s10472-013-9341-2},
localpdf = {mypapers/a_novel_feature_based_approach_to_characterize_algorithm_performance_for_the_traveling_salesperson_problem.pdf},
paywall = 1
}
@article{mersmann2014,
author = {Mersmann, O. and Preuss, M. and Trautmann, H. and Bischl,
B. and Weihs, C.},
title = {{Analyzing the {BBOB} Results by Means of Benchmarking
Concepts}},
journal = {Evolutionary Computation Journal},
year = {2014},
url = {http://www.mitpressjournals.org/doi/abs/10.1162/EVCO_a_00134},
doi = {doi:10.1162/EVCO_a_00134},
localpdf = {mypapers/analyzing_the_bbob_results_by_means_of_benchmarking_concepts.pdf},
paywall = 1
}
@article{probst2017,
author = {Philipp Probst and Quay Au and Giuseppe Casalicchio and
Clemens Stachl and Bernd Bischl},
title = {{Multilabel Classification with R Package mlr}},
year = {2017},
journal = {The R Journal},
url = {https://journal.r-project.org/archive/2017/RJ-2017-012/index.html}
}
@article{szepannek2008,
author = {Szepannek, G. and Bischl, B. and Weihs, C.},
title = {{On the Combination of Locally Optimal Pairwise
Classifiers}},
journal = {Journal of Engineering Applications of Artificial
Intelligence},
year = {2008},
volume = {22},
number = {1},
pages = {79--85},
url = {http://link.springer.com/chapter/10.1007%2F978-3-540-73499-4_9},
localpdf = {mypapers/on_the_combination_of_locally_optimal_pairwise_classifiers_2.pdf},
paywall = 1
}
@article{thomas2017a,
author = {Thomas, Janek and Mayr, Andreas and Bischl, Bernd and
Schmid, Matthias and Smith, Adam and Hofner, Benjamin},
title = {{Gradient boosting for distributional regression: faster
tuning and improved variable selection via noncyclical
updates}},
journal = {Statistics and Computing},
year = {2017},
pages = {1--15},
issn = {1573-1375},
doi = {10.1007/s11222-017-9754-6},
url = {https://link.springer.com/article/10.1007/s11222-017-9754-6?wt_mc=Internal.Event.1.SEM.ArticleAuthorOnlineFirst},
paywall = 1,
localpdf = {mypapers/thomas-2017.pdf}
}
@article{vanschoren2014,
author = {Vanschoren, J. and van Rijn, J. N. and Bischl, B. and
Torgo, L.},
title = {{{OpenML}: Networked Science in Machine Learning}},
journal = {SIGKDD Explor. Newsl.},
issue_date = {December 2013},
volume = {15},
number = {2},
month = jun,
year = {2014},
issn = {1931-0145},
pages = {49--60},
numpages = {12},
url = {http://doi.acm.org/10.1145/2641190.2641198},
doi = {10.1145/2641190.2641198},
acmid = {2641198},
publisher = {ACM},
localpdf = {mypapers/openml_networked_science_in_machine_learning.pdf},
paywall = 1
}
@inbook{weihs2016,
author = {Weihs, Claus and Horn, Daniel and Bischl, Bernd},
editor = {Wilhelm, Adalbert F.X. and Kestler, Hans A.},
title = {{Big data Classification: Aspects on Many Features and
Many Observations}},
booktitle = {Analysis of Large and Complex Data},
year = {2016},
publisher = {Springer International Publishing},
address = {Cham},
pages = {113--122},
isbn = {978-3-319-25226-1},
doi = {10.1007/978-3-319-25226-1_10},
url = {http://dx.doi.org/10.1007/978-3-319-25226-1_10},
localpdf = {mypapers/weihs-2014.pdf},
paywall = 1
}
@article{ziegler2013climate,
title = {{Climate parameters and the influence on the foot pad
health status of fattening turkeys BUT 6 during the early
rearing phase}},
author = {Ziegler, Nina and Bergmann, Shana and Huebei, Jens and
Bartels, Thomas and Schumacher, Christoph and Bender,
Andreas and Casalicchio, Giuseppe and Kuechenhoff, Helmut
and Krautwald-Junghanns, Maria-Elisabeth and Erhard,
Michael},
journal = {Berliner und Münchner Tierärztliche Wochenschrift},
volume = {126},
number = {5-6},
pages = {181--188},
year = {2013},
publisher = {SCHLUETERSCHE VERLAGSGESELLSCHAFT MBH \& CO KG
HANS-BOCKLER-ALLEE 7, 30173 HANNOVER, GERMANY}
}