journals.bib

@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{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 = {??--??},
  day = {20},
  month = mar,
  year = {2015},
  coden = {JSSOBK},
  issn = {1548-7660},
  url = {http://www.jstatsoft.org/v64/i11}
}

@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 ({SUBMITTED})},
  journal = {Artificial Intelligence},
  year = {2014}
}

@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 {(PREPARING SUBMISSION)}},
  journal = {Biometrics},
  year = {2015}
}

@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 {(PREPARING SUBMISSION)}},
  journal = {Methods of Information in Medicine},
  year = {2015}
}

@article{Horn2015,
  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 {(PREPARING SUBMISSION)}},
  journal = {Advances in Data Analysis and Classification},
  year = {2015}
}

@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{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{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{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
}