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Number of items at this level: 44.


Bauer, Nadja; Friedrichs, Klaus; Bischl, Bernd; Weihs, Claus (2016): Fast Model Based Optimization of Tone Onset Detection by Instance Sampling. In: Wilhelm, Adalbert F. X.; Kestler, Hans A. (eds.) : Analysis of Large and Complex Data. Cham: Springer. pp. 461-472

Bischl, Bernd; Kerschke, Pascal; Kotthoff, Lars; Lindauer, Marius; Malitsky, Yuri; Frechétte, Alexandre; Hoos, Holger; Hutter, Frank; Leyton-Brown, Kevin; Tierney, Kevin; Vanschoren, Joaquin (2016): ASlib: A Benchmark Library for Algorithm Selection. In: Artificial Intelligence, Vol. 237: pp. 41-58

Bischl, Bernd; Kühn, Tobias; Szepannek, Gero (2016): On Class Imbalance Correction for Classification Algorithms in Credit Scoring. In: Lübbecke, Marco (ed.) : Operations Research Proceedings 2014. Cham: Springer International Publishing. pp. 37-43

Bischl, Bernd; Lang, Michel; Kotthoff, Lars; Schiffner, Julia; Richter, Jakob; Studerus, Erich; Casalicchio, Giuseppe; Jones, Zachary M. (2016): mlr: Machine Learning in R. In: Journal of Machine Learning Research, Vol. 17, No. 1: pp. 5938-5942

Degroote, Hans; Bischl, Bernd; Kotthoff, Lars; De Causmaecker, Patrick (2016): Reinforcement Learning for Automatic Online Algorithm Selection - an Empirical Study. 16th ITAT Conference Information Technologies - Applications and Theory, 15.-19. September 2016, Tatranské Matliare.

Horn, Daniel; Demircioğlu, Aydin; Bischl, Bernd; Glasmachers, Tobias; Weihs, Claus (2016): A Comparative Study on Large Scale Kernelized Support Vector Machines. In: Advances in Data Analysis and Classification: pp. 1-17

Rietzler, Michael; Geiselhart, Florian; Thomas, Janek; Rukzio, Enrico (2016): FusionKit: a generic toolkit for skeleton, marker and rigid-body tracking. 8th ACM SIGCHI Symposium on Engineering Interactive Computing Systems, 21.-24. Juni 2016, Brüssel.

Weihs, Claus; Horn, Daniel; Bischl, Bernd (2016): Big data Classification: Aspects on Many Features and Many Observations. In: Wilhelm, Adalbert F.X.; Kestler, Hans A. (eds.) : Analysis of Large and Complex Data. Cham ; Heidelberg ; New York ; Dordrecht ; London: Springer. pp. 113-122


Bischl, Bernd; Lang, Michel; Mersmann, Olaf; Rahnenführer, Jörg; Weihs, Claus (2015): BatchJobs and BatchExperiments: Abstraction Mechanisms for Using R in Batch Environments. In: Journal of Statistical Software, Vol. 64, No. 11: pp. 1-25

Brockhoff, Dimo; Bischl, Bernd; Wagner, Tobias (2015): The Impact of Initial Designs on the Performance of MATSuMoTo on the Noiseless BBOB-2015 Testbed: A Preliminary Study. Genetic and Evolutionary Computation Conference 2015, 11.-15. Juli 2015, Madrid.

Horn, Daniel; Wagner, Tobias; Biermann, Dirk; Weihs, Claus; Bischl, Bernd (2015): Model-Based Multi-Objective Optimization: Taxonomy, Multi-Point Proposal, Toolbox and Benchmark. In: Gaspar-Cunha, António; Henggeler Antunes, Carlos; Coello, Carlos Coello (eds.) : Evolutionary Multi-Criterion Optimization (EMO). 8th International Conference, EMO 2015, Guimarães, Portugal, March 29 - April 1, 2015. Proceedings, Part I. Lecture Notes in Computer Science, Vol. 9018. Berlin: Springer. pp. 64-78

Kotthaus, Helena; Korb, Ingo; Lang, Michel; Bischl, Bernd; Rahnenführer, Jörg; Marwedel, Peter (2015): Runtime and memory consumption analyses for machine learning R programs. In: Journal of Statistical Computation and Simulation, Vol. 85, No. 1: pp. 14-29

Lang, Michel; Kotthaus, Helena; Marwedel, Peter; Weihs, Claus; Rahnenführer, Jörg; Bischl, Bernd (2015): Automatic model selection for high-dimensional survival analysis. In: Journal of Statistical Computation and Simulation, Vol. 85, No. 1: pp. 62-76

Schmid, Matthias; Kestler, Hans A.; Potapov, Sergej (2015): On the validity of time-dependent AUC estimators. In: Briefings in Bioinformatics, Vol. 16, No. 1: pp. 153-68


Boulesteix, Anne-Laure; Schmid, Matthias (2014): Machine learning versus statistical modeling. In: Biometrical Journal, Vol. 56, No. 4: pp. 588-593

Lausser, Ludwig; Schmid, Florian; Schmid, Matthias; Kestler, Hans A. (2014): Unlabeling data can improve classification accuracy. In: Pattern Recognition Letters, Vol. 37: pp. 15-23

Mayr, Andreas; Schmid, Matthias (2014): Boosting the concordance index for survival data - a unified framework to derive and evaluate biomarker combinations.
In: PLOS ONE 9(1), e84483 [PDF, 442kB]

Möst, Lisa; Schmid, Matthias; Faschingbauer, Florian; Hothorn, Torsten (2014): Predicting Birth Weight with Conditionally Linear Transformation Models. In: Statistical Methods in Medical Research [PDF, 954kB]

Schneeweiß, Hans; Ronning, Gerd; Schmid, Matthias (2014): Panel model with multiplicative measurement errors. In: Beran, Jan; Feng, Yuanhua; Hebbel, Hartmut (eds.) : Empirical Economic and Financial Research - Theory, Methods and Practice. New York: Springer. pp. 123-143

Unkel, Steffen; Farrington, Paddy C.; Whitaker, Heather J.; Pebody, Richard (2014): Time varying frailty models and the estimation of heterogeneities in transmission of infectious diseases. In: Journal of the Royal Statistical Society: Series C, Vol. 63, No. 1: pp. 141-158


Bergmann, Shana; Ziegler, Nina; Bartels, Thomas; Hübel, Jens; Schumacher, Christoph; Rauch, E.; Brandl, S.; Bender, Andreas; Casalicchio, Giuseppe; Krautwald-Junghanns, Maria; Erhard, Michael (2013): Prevalence and severity of foot pad alterations in German turkey poults during the early rearing phase. In: Poultry Science, Vol. 92, No. 5: pp. 1171-1176

Kreuter, Frauke; Müller, Gerrit; Trappmann, Mark (2013): A Note on Mechanisms Leading to Lower Data Quality of Late or Reluctant Respondents. In: Sociological Methods and Research


Eugster, Manuel J.A.; Hothorn, Torsten; Leisch, Friedrich (2012): Domain-based benchmark experiments: Exploratory and inferential analysis. In: Austrian Journal of Statistics, Vol. 41, No. 1: pp. 5-26

Mayr, Andreas; Fenske, Nora; Hofner, Benjamin; Kneib, Thomas; Schmid, Matthias (2012): Generalized additive models for location scale and shape for high-dimensional data - a flexible approach based on boosting. In: Journal of the Royal Statistical Society, Series C (Applied Statistics), Vol. 61: pp. 403-427

Monecke, Armin; Leisch, Friedrich (2012): semPLS: Structural Equation Modeling Using Partial Least Squares. In: Journal of Statistical Software, Vol. 48: pp. 1-32

Schneeweiß, Hans; Rost, Daniel; Schmid, Matthias (2012): Probability and quantile estimation from individually micro-aggregated data. In: Metrika, Vol. 75, No. 6: pp. 721-742


Dolnicar, Sara; Grün, Bettina; Leisch, Friedrich (2011): Quick, simple and reliable: Forced binary survey questions. In: International Journal of Market Research, Vol. 53, No. 2: pp. 233-254

Eugster, Manuel J. A.; Knaus, Jochen; Porzelius, Christine; Schmidberger, Markus; Vicedo, E. (2011): Hands-on Tutorial for Parallel Computing with R. In: Computational Statistics, Vol. 26, No. 2: pp. 219-239

Eugster, Manuel J.A.; Leisch, Friedrich (2011): Exploratory Analysis of Benchmark Experiments. In: Computational Statistics, Vol. 26, No. 4: pp. 699-710

Eugster, Manuel J.A.; Leisch, Friedrich (2011): Weighted and Robust Archetypal Analysis. In: Computational Statistics and Data Analysis, Vol. 55, No. 3: pp. 1215-1225

Hothorn, Torsten; Leisch, Friedrich (2011): Case studies in reproducibility. In: Briefings in Bioinformatics, Vol. 12, No. 3: pp. 288-300

Möller, Teresa; Dolnicar, Sara; Leisch, Friedrich (2011): The sustainability-profitability trade-off in tourism: Can it be overcome? In: Journal of Sustainable Tourism, Vol. 19, No. 2: pp. 155-169


Dolnicar, Sara; Leisch, Friedrich (2010): Evaluation of structure and reproducibility of cluster solutions using the bootstrap. In: Marketing Letters, Vol. 21, No. 1: pp. 83-101

Eugster, Manuel J.A.; Leisch, Friedrich (2010): Weighted and robust archetypal analysis. In: Computational Statistics & Data Analysis, Vol. 55, No. 3: pp. 1215-1225

Leisch, Friedrich (2010): Neighborhood graphs, stripes and shadow plots for cluster visualization. In: Statistics and Computing, Vol. 20, No. 4: pp. 457-469

Scharl, Teresa; Grün, Bettina; Leisch, Friedrich (2010): Mixtures of regression models for time course gene expression data: Evaluation of initialization and random effects. In: Bioinformatics, Vol. 26, No. 3: pp. 370-377

Schosser, Alexandra; Fuchs, Karen; Scharl, Teresa; Schloegelhofer, Monika; Kindler, Jochen; Mossaheb, Nilufar; Kaufmann, Rainer M.; Leisch, Friedrich; Kaspar, Siegfried; Sieghart, Werner; Aschauer, Harald N. (2010): Interaction between serotonin 5-HT2A receptor gene and dopamine transporter (DAT1) gene polymorphisms influences personality trait of persistence in Austrian caucasians. In: World Journal of Biological Psychiatry, Vol. 11, No. 2: pp. 417-424


Absmanner, Evelin; Rouha-Mülleder, Cornelia; Scharl, Teresa; Leisch, Friedrich; Troxler, Josef (2009): Effects of different housing systems on the behaviour of beef bulls - An on-farm assessment on Austrian farms. In: Applied Animal Behaviour Science, Vol. 118: pp. 12-19

Dolnicar, Sara; Kaiser, Sebastian; Matus, Katrina; Vialle, Wilma (2009): Can Australian universities take measures to increase the lecture attendance of marketing students? In: Journal of Marketing Education, Vol. 31, No. 3: pp. 203-211

Eugster, Manuel J.A.; Leisch, Friedrich (2009): From Spider-man to Hero - archetypal analysis in R. In: Journal of Statistical Software, Vol. 30, No. 8: pp. 1-23

Scharl, Teresa; Leisch, Friedrich (2009): gcExplorer: Interactive exploration of gene clusters. In: Bioinformatics, Vol. 25, No. 8: pp. 1089-1090

Scharl, Teresa; Striedner, Gerald; Pötschacher, Florentina; Leisch, Friedrich; Bayer, Karl (2009): Interactive visualization of clusters in microarray data: An efficient tool for improved metabolic analysis of e. coli. In: Microbial Cell Factories, Vol. 8, No. 37

Scharl, Teresa; Voglhuber, Ingo; Leisch, Friedrich (2009): Exploratory and inferential analysis of gene cluster neighborhood graphs. In: BMC Bioinformatics, Vol. 10, No. 1: p. 288

Visne, Ilhami; Dilaveroglu, Erkan; Vierlinger, Clemens; Lauss, Martin; Yildiz, Ahmet; Weinhaeusel, Andreas; Noahammer, Christa; Leisch, Friedrich; Kriegner, Albert (2009): RGG: A general GUI framework for R scripts in bioinformatics. In: BMC Bioinformatics, Vol. 10, No. 1: p. 74

This list was generated on Thu Apr 25 02:36:47 2019 CEST.