@techreport{Bischl2009,
author = {Bischl, B.
and Ligges, U.
and Weihs, C.},
title = {Frequency estimation by DFT interpolation: A comparison of methods},
year = {2009},
publisher = {SFB 475, Faculty of Statistics, TU Dortmund, Germany},
institution = {TU Dortmund},
url = {http://www.statistik.tu-dortmund.de/fileadmin/user_upload/Lehrstuehle/MSind/SFB_475/2009/tr06-09.pdf},
paywall = 0
}
@mastersthesis{Bischl2009_2,
author = {Bischl, B.},
title = {Feature-Auswahl durch das Lernen multipler Kerne und eine Anwendung auf GO-Gruppen},
year = {2009},
school = {Faculty of Statistics, TU Dortmund, Germany}
}
@inproceedings{Bischl2010,
author = {Bischl, B.
and Mersmann, O.
and Trautmann, H.},
editor = {Bartz-Beielstein, T.
and Chiarandini, M.
and Paquete, L.
and Preuss, M.},
title = {Resampling Methods in Model Validation},
booktitle = {WEMACS -- Proceedings of the Workshop on Experimental Methods for the Assessment of Computational Systems, Technical Report TR 10-2-007},
year = {2010},
publisher = {Department of Computer Science, TU Dortmund University},
url = {http://ls11-www.cs.uni-dortmund.de/_media/techreports/tr10-07.pdf},
paywall = 0
}
@inproceedings{Bischl2010_2,
author = {Bischl, B.
and Eichhoff, M.
and Weihs, C.},
title = {Selecting Groups of Audio Features by Statistical Tests and the Group Lasso},
booktitle = {9. ITG Fachtagung Sprachkommunikation},
year = {2010},
publisher = {VDE Verlag},
address = {Berlin, Offenbach},
url = {http://www.vde-verlag.de/proceedings-de/453300015.html},
localpdf = {mypapers/selecting_groups_of_audio_features_by_statistical_tests_and_the_group_lasso.pdf},
paywall = 1
}
@inproceedings{Bischl2010_3,
author = {Bischl, B.
and Vatolkin, I.
and Preuss, M.},
title = {Selecting Small Audio Feature Sets in Music Classification by Means of Asymmetric Mutation},
booktitle = {PPSN XI: Proceedings of the 11th International Conference on Parallel Problem Solving from Nature},
series = {Lecture Notes in Computer Science},
year = {2010},
publisher = {Springer},
volume = {6238},
pages = {314--323},
doi = {10.1007/978-3-642-15844-5_32},
url = {http://link.springer.com/chapter/10.1007\%2F978-3-642-15844-5_32},
localpdf = {mypapers/selecting_small_audio_feature_sets_in_music_classification_by_means_of_asymmetric_mutation.pdf},
paywall = 1
}
@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
}
@techreport{Bischl2012_2,
author = {Bischl, B.
and Lang, M.
and Mersmann, O.
and Rahnenfuehrer, J.
and Weihs, C.},
title = {Computing on high performance clusters with {R}: Packages {BatchJobs} and {BatchExperiments}},
year = {2012},
publisher = {SFB 876, TU Dortmund University},
institution = {TU Dortmund},
url = {http://sfb876.tu-dortmund.de/PublicPublicationFiles/bischl_etal_2012a.pdf},
paywall = 0
}
@article{Bischl2012_3,
author = {Bischl, B.
and Lang, M.
and Mersmann, O.
and Rahnenfuehrer, J.
and Weihs, C.},
title = {{BatchJobs} and {BatchExperiments}: Abstraction mechanisms for using {R} in batch environments ({SUBMITTED})},
journal = {Journal of Statistical Software},
year = {2013}
}
@inproceedings{Bischl2012_4,
author = {Bischl, B.
and Mersmann, O.
and Trautmann, H.
and Preuss, M.},
title = {Algorithm Selection Based on Exploratory Landscape Analysis and Cost-Sensitive Learning},
booktitle = {Genetic and Evolutionary Computation Conference (GECCO)},
year = {2012},
doi = {10.1145/2330163.2330209},
url = {http://dl.acm.org/citation.cfm?id=2330163.2330209},
localpdf = {mypapers/algorithm_selection_based_on_exploratory_landscape_analysis_and_cost_sensitive_learning.pdf},
paywall = 1
}
@incollection{Bischl2013,
author = {Bischl, B. and Schiffner, J. and Weihs, C.},
title = {Benchmarking Classification Algorithms on High-Performance Computing Clusters},
booktitle = {Data Analysis, Machine Learning and Knowledge Discovery},
series = {Studies in Classification, Data Analysis, and Knowledge Organization},
editor = {Spiliopoulou, M. and Schmidt-Thieme, L. and Janning, R.},
publisher = {Springer},
pages = {23-31},
year = {2014},
isbn = {978-3-319-01594-1},
doi = {10.1007/978-3-319-01595-8_3},
url = {http://dx.doi.org/10.1007/978-3-319-01595-8_3},
localpdf = {mypapers/benchmarking_classification_algorithms_on_high_performance_computing_clusters.pdf},
paywall = 1
}
@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
}
@inproceedings{Bischl2014_1,
author = {Bischl, B.
and Wessing, S.
and Bauer, N.
and Friedrichs, K.
and Weihs, C.},
title = {{MOI-MBO}: Multiobjective Infill for Parallel Model-Based Optimization {(ACCEPTED, PRELIM. VERSION AVAILABLE)}},
booktitle = {Learning and Intelligent Optimization Conference (LION)},
year = {2014},
url = {http://www.caopt.com/LION8/Papers/Bischl.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
}
@inproceedings{Hess2013,
author = {Hess, S.
and Wagner, T.
and Bischl, B.},
title = {{PROGRESS}: Progressive Reinforcement-Learning-Based Surrogate Selection},
booktitle = {Learning and Intelligent Optimization Conference (LION)},
year = {2013},
url = {http://lion.disi.unitn.it/intelligent-optimization/LION7/Hess-Wagner-Bischl_PROGRESS_2012.pdf},
paywall = 0
}
@techreport{Koch2011,
author = {Koch, P.
and Bischl, B.
and Flasch, O.
and Bartz-Beielstein, T.
and Konen, W.},
title = {On the Tuning and Evolution of Support Vector Kernels},
year = {2011},
publisher = {Research Center CIOP (Computational Intelligence, Optimization and Data Mining)},
institution = {Cologne University of Applied Science},
address = {Cologne University of Applied Science, Faculty of Computer Science and Engineering Science},
url = {http://maanvs03.gm.fh-koeln.de/webpub/CIOPReports.d/Koch11a.d/svmTuning.pdf},
paywall = 0
}
@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
}
@inproceedings{Mersmann2011,
author = {Mersmann, O.
and Bischl, B.
and Trautmann, H.
and Preuss, M.
and Weihs, C.
and Rudolph, G.},
editor = {Natalio Krasnogor},
title = {Exploratory Landscape Analysis},
booktitle = {Proceedings of the 13th annual conference on genetic and evolutionary computation (GECCO {\textquoteright}11)},
year = {2011},
publisher = {ACM},
address = {New York, NY, USA},
pages = {829--836},
doi = {10.1145/2001576.2001690},
url = {http://dl.acm.org/citation.cfm?id=2001690},
localpdf = {mypapers/exploratory_landscape_analysis.pdf},
paywall = 1
}
@inproceedings{Mersmann2012,
author = {Mersmann, O.
and Bischl, B.
and Bossek, J.
and Trautmann, H.
and Wagner M.
and Neumann, F.},
title = {Local Search and the Traveling Salesman Problem: A Feature-Based Characterization of Problem Hardness},
booktitle = {Learning and Intelligent Optimization Conference (LION)},
year = {2012},
doi = {10.1007/978-3-642-34413-8_9},
url = {http://cs.adelaide.edu.au/~markus/pub/2012lion.pdf},
paywall = 0
}
@article{Mersmann2012_2,
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 ({ACCEPTED})},
journal = {Evolutionary Computation Journal},
year = {2012}
}
@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
}
@incollection{Meyer2014,
author = {Meyer, O. and Bischl, B. and Weihs, C.},
title = {Support Vector Machines on Large Data Sets: Simple Parallel Approaches},
booktitle = {Data Analysis, Machine Learning and Knowledge Discovery},
series = {Studies in Classification, Data Analysis, and Knowledge Organization},
editor = {Spiliopoulou, M. and Schmidt-Thieme, L. and Janning, R.},
publisher = {Springer},
pages = {87-95},
year = {2014},
isbn = {978-3-319-01594-1},
doi = {10.1007/978-3-319-01595-8_10},
url = {http://dx.doi.org/10.1007/978-3-319-01595-8_10},
localpdf = {mypapers/support_vector_machines_on_large_data_sets_simple_parallel_approaches.pdf},
paywall = 1
}
@inproceedings{Nallaperuma2013,
author = {Nallaperuma, S.
and Wagner, M.
and Neumann, F.
and Bischl, B.
and Mersmann, O.
and Trautmann, H.},
title = {A Feature-Based Comparison of Local Search and the Christofides Algorithm for the Travelling Salesperson Problem},
booktitle = {Foundations of Genetic Algorithms (FOGA)},
year = {2013},
doi = {10.1145/2460239.2460253},
url = {http://dl.acm.org/citation.cfm?id=2460253},
localpdf = {mypapers/a_feature_based_comparison_of_local_search_and_the_christofides_algorithm_for_the_travelling_salesperson_problem.pdf},
paywall = 1
}
@inproceedings{Rijn2013,
author = {van Rijn, J. and
Bischl, B. and
Torgo, L. and
Gao, G. and
Umaashankar, V. and
Fischer, S. and
Winter, P. and
Wiswedel, B. and
Berthold, M.R. and
Vanschoren, J.},
title = {{OpenML}: A Collaborative Science Platform},
booktitle = {ECML/PKDD (3)},
year = {2013},
pages = {645-649},
doi = {10.1007/978-3-642-40994-3_46},
url = {http://www.ecmlpkdd2013.org/wp-content/uploads/2013/07/647.pdf},
paywall = 0
}
@inproceedings{Rijn2013_2,
author = {van Rijn, J.
and Umaashankar, V.
and Fischer, S.
and Bischl, B.
and Torgo, L.
and Gao, B.
and Winter, P.
and Wiswedel, B.
and Berthold, M. R.
and Vanschoren, J.},
title = {A {RapidMiner} extension for {Open Machine Learning}},
booktitle = {{RapidMiner} Community Meeting and Conference ({RCOMM})},
year = {2013},
pages = {59-70},
isbn = {978-3-8440-2145-51},
localpdf = {mypapers/a_rapidminer_extension_for_open_machine_learning.pdf},
paywall = 1
}
@inproceedings{Schiffner2012,
author = {Schiffner, J.
and Bischl, B.
and Weihs, C.},
editor = {Gaul, W.
and Geyer-Schulz, A.
and Schmidt-Thieme, L.
and Kunze, J.},
title = {Bias-variance analysis of local classification methods},
booktitle = {Challenges at the Interface of Data Analysis, Computer Science, and Optimization},
series = {Studies in Classification, Data Analysis, and Knowledge Organization},
year = {2012},
publisher = {Springer},
address = {Berlin Heidelberg},
pages = {49--57},
doi = {10.1007/978-3-642-24466-7_6},
url = {http://link.springer.com/chapter/10.1007\%2F978-3-642-24466-7_6},
localpdf = {mypapers/bias_variance_analysis_of_local_classification_methods.pdf},
paywall = 1
}
@inproceedings{Szepannek2007,
author = {Szepannek, G.
and Bischl, B.
and Weihs, C.},
title = {On the Combination of Locally Optimal Pairwise Classifiers},
booktitle = {Machine Learning and Data Mining in Pattern Recognition},
series = {Lecture Notes in Computer Science},
year = {2007},
publisher = {Springer},
address = {Berlin Heidelberg},
volume = {4571},
pages = {104--116},
doi = {10.1007/978-3-540-73499-4_9},
url = {http://link.springer.com/chapter/10.1007%2F978-3-540-73499-4_9},
localpdf = {mypapers/on_the_combination_of_locally_optimal_pairwise_classifiers_1.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
}
@inproceedings{Szepannek2010,
author = {Szepannek, G.
and Gruhne, M.
and Bischl, B.
and Krey, S.
and Harczos, T.
and Klefenz, F.
and Dittmar, C.
and Weihs, C.},
editor = {Locarek-Junge, H.
and Weihs, C.},
title = {Perceptually Based Phoneme Recognition in Popular Music},
booktitle = {Classification as a Tool for Research},
series = {Studies in Classification, Data Analysis, and Knowledge Organization},
year = {2010},
publisher = {Springer},
address = {Berlin Heidelberg},
volume = {40},
pages = {751--758},
doi = {10.1007/978-3-642-10745-0_83},
url = {http://link.springer.com/chapter/10.1007%2F978-3-642-10745-0_83},
localpdf = {mypapers/perceptually_based_phoneme_recognition_in_popular_music.pdf},
paywall = 1
}
@incollection{Vatolkin2014,
author = {Vatolkin, I. and Bischl, B. and Rudolph, G. and Weihs, C.},
title = {Statistical Comparison of Classifiers for Multi-objective Feature Selection in Instrument Recognition},
booktitle = {Data Analysis, Machine Learning and Knowledge Discovery},
series = {Studies in Classification, Data Analysis, and Knowledge Organization},
editor = {Spiliopoulou, M. and Schmidt-Thieme, L. and Janning, R.},
url = {http://dx.doi.org/10.1007/978-3-319-01595-8_19},
year = {2014},
publisher = {Springer},
pages = {171-178},
doi = {10.1007/978-3-319-01595-8_19},
isbn = {978-3-319-01594-1},
localpdf = {mypapers/statistical_comparison_of_classifiers_for_multi_objective_feature_selection_in_instrument_recognition.pdf},
paywall = 1
}
@inproceedings{Weihs2010,
author = {Weihs, C.
and Mersmann O.
and Bischl, B.
and Fritsch, A.
and Trautmann, H.
and Karbach, T.-M.
and Spaan, B.},
title = {A Case Study on the Use of Statistical Classification Methods in Particle Physics},
booktitle = {MSDM2010, Tunis},
year = {2010},
url = {http://link.springer.com/content/pdf/10.1007/978-3-642-24466-7_8.pdf},
paywall = 1
}
@inproceedings{Weihs2011,
author = {Weihs, C.
and Friedrichs, K
and Bischl, B.},
title = {Statistics for hearing aids: Auralization},
booktitle = {Second Bilateral German-Polish Symposium on Data Analysis and its Applications (GPSDAA)},
year = {2011},
localpdf = {mypapers/statistics_for_hearing_aids_auralization.pdf},
paywall = 1
}
@inproceedings{Weihs2012,
author = {Weihs, C.
and Mersmann, O.
and Bischl, B.
and Fritsch, A.
and Trautmann, H.
and Karbach, T.M.
and Spaan, B.},
editor = {Gaul, W.
and Geyer-Schulz, A.
and Schmidt-Thieme, L.
and Kunze, J.},
title = {A Case Study on the Use of Statistical Classification Methods in Particle Physics},
booktitle = {Challenges at the Interface of Data Analysis, Computer Science, and Optimization},
series = {Studies in Classification, Data Analysis, and Knowledge Organization},
year = {2012},
publisher = {Springer},
address = {Berlin Heidelberg},
pages = {69--77},
doi = {10.1007/978-3-642-24466-7_8},
url = {http://link.springer.com/content/pdf/10.1007\%2F978-3-642-24466-7_8},
paywall = 1
}
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