Papers (19), Workshops (5), Books (2), Reports (1), Patents (1), Software (11), Talks (28)
Archetypal Analysis for Nominal Observations. Seth S and Eugster MJA (2015). IEEE Transactions on Pattern Analysis and Machine Intelligence. 10.1109/TPAMI.2015.2470655, to appear, URL, Code.
Probabilistic Archetypal Analysis. Seth S and Eugster MJA (2015). Machine Learning. 10.1007/s10994-015-5498-8, to appear, URL, Preprint, Code.
Exploring Peripheral Physiology as a Predictor of Perceived Relevance in Information Retrieval. Barral O, Eugster MJA, Ruotsalo T, Spapé M, Kosunen I, Ravaja N, Kaski S and Jacucci G (2015). In Proceedings of the 20th International Conference on Intelligent User Interfaces, pp. 389–399. 10.1145/2678025.2701389, URL.
A Statistical Framework for Hyptothesis Testing in Real Data Comparison Studies. Boulesteix A, Hable R, Lauer S and Eugster MJA (2015). The American Statistician, 69(3), pp. 201–212. 10.1080/00031305.2015.1005128, 2015, URL, Preprint, Code.
Forest Management and Regional Tree Composition Drive the Host Preference of Saproxylic Beetle Communities. Müller J, Wende B, Strobl C, Eugster MJA, Gallenberger I, Floren A, Steffan-Dewenter I, Linsenmair KE, Weisser WW and Gossner MM (2015). Journal of Applied Ecology, 52(3), pp. 753–762. 10.1111/1365-2664.12421, URL.
Predicting Term-Relevance from Brain Signals. Eugster* MJA, Ruotsalo* T, Spapé* M, Kosunen I, Barral O, Ravaja N, Jacucci G and Kaski S (2014). In Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval. 10.1145/2600428.2609594, (* equal contribution), URL, Preprint.
(Psycho-)Analysis of Benchmark Experiments—A Formal Framework for Investigating the Relationship between Data Sets and Learning Algorithms. Eugster MJA, Leisch F and Strobl C (2014). Computational Statistics and Data Analysis, 71, pp. 986–1000. 10.1016/j.csda.2013.08.007, URL, Preprint, Code.
Directing Exploratory Search with Interactive Intent Modelling. Ruotsalo* T, Peltonen* J, Eugster* MJA, Glowacka D, Konyushkova K, Atukorala KM, Kosunen I, Reijonen A, Myllymäki P, Jacucci G and Kaski S (2013). In Proceedings of the 22nd ACM International Conference on Conference on Information \& Knowledge Management, pp. 1759–1764. 10.1145/2505515.2505644, (* equal contribution), URL, Preprint.
osmar: OpenStreetMap and R. Eugster MJA and Schlesinger T (2013). R Journal, 5(1), pp. 53–64. URL, Preprint, Code.
A Plea for Neutral Comparison Studies in Computational Sciences. Boulesteix A, Lauer S and Eugster MJA (2013). PLoS ONE, 8(4), pp. e61562. 10.1371/journal.pone.0061562, URL, Preprint, Code.
Performance Profiles based on Archetypal Athletes. Eugster MJA (2012). International Journal of Performance Analysis in Sport, 12(1), pp. 166–187. URL, Preprint, Code.
Domain-Based Benchmark Experiments: Exploratory and Inferential Analysis. Eugster MJA, Hothorn T and Leisch F (2012). Austrian Journal of Statistics, 41(1), pp. 5–26. URL, Code.
Executable Papers for the R Community: The Rsquared Platform for Reproducible Research. Leisch F, Eugster MJA and Hothorn T (2011). Procedia Computer Science, 4, pp. 618–626. 10.1016/j.procs.2011.04.065, Proceedings of the International Conference on Computational Science, ICCS 2011; Finalist at the Executable Paper Grand Challenge (http://www.executablepapers.com/), URL.
Exploratory Analysis of Benchmark Experiments – An Interactive Approach. Eugster MJA and Leisch F (2011). Computational Statistics, 26(4), pp. 699–710. 10.1007/s00180-010-0227-z, URL, Preprint, Code.
Hands-on Tutorial for Parallel Computing with R. Eugster MJA, Knaus J, Porzelius C, Schmidberger M and Vicedo E (2011). Computational Statistics, 26(2), pp. 219–239. 10.1007/s00180-010-0206-4, URL, Code.
Weighted and Robust Archetypal Analysis. Eugster MJA and Leisch F (2011). Computational Statistics and Data Analysis, 55(3), pp. 1215–1225. 10.1016/j.csda.2010.10.017, URL, Preprint, Code.
Having the Second Leg At Home – Advantage in the UEFA Champions League Knockout Phase? Eugster* MJA, Gertheiss* J and Kaiser* S (2011). Journal of Quantitative Analysis in Sports, 7. 10.2202/1559-0410.1275, Press reports, e.g., by Sueddeutsche Zeitung and Focus Online; (* equal contribution), URL, Preprint.
From Spider-Man to Hero – Archetypal Analysis in R. Eugster MJA and Leisch F (2009). Journal of Statistical Software, 30(8), pp. 1–23. URL, Preprint, Code.
Bench Plot and Mixed Effects Models: First steps toward a comprehensive benchmark analysis toolbox. Eugster MJA and Leisch F (2008). In Brito P (ed.), Compstat 2008—Proceedings in Computational Statistics, pp. 299–306. Preprint, Code.
Bayesian Optimization in Interactive Scientific Search. Ruotsalo T, Peltonen J, Eugster MJA, Glowacka D, and Ksenia Konyushkova, Athukorala K, Jacucci G, Reijonen A and Kaski S (2014). Refereed extended abstract in the NIPS workshop "Bayesian Optimization in Academia and Industry", Montreal, Canada; http://bayesopt.github.io, URL.
Interactive Visualization of Search Intent for Exploratory Information Retrieval. Kangasrääsiö A, Glowacka D, Ruotsalo T, Peltonen J, Eugster MJA, Konyushkova K, Athukorala K, Kosunen I, Reijonen A, Myllymäki P, Jacucci G and Kaski S (2014). Refereed extended abstract in the "ICML 2014 Workshop on Crowdsourcing and Human Computing", Beijing, China; http://crowdwisdom.cc/icml2014/, URL.
IntentRadar: Search User Interface that Anticipates User's Search Intents. Ruotsalo T, Peltonen J, Eugster MJA, Glowacka D, Reijonen A, Jacucci G, Myllymäki P and Kaski S (2014). In CHI '14 Extended Abstracts on Human Factors in Computing Systems, pp. 455–458. 10.1145/2559206.2574807, Refereed extended abstract in CHI Interactivity, Toronto, Canada. Video available from https://www.youtube.com/watch?v=zOoFNpF6eFk, URL.
Grid and Cloud Computing Methods in Biomedical Research. Eugster MJA, Schmid M, Binder H and Schmidberger M (2013). Methods of Information in Medicine, 52(1), pp. 62–64. Editorial for the Focus Theme on "Grid and Cloud Computing Methods in Biomedical Research", see http://www.schattauer.de/en/magazine/subject-areas/journals-a-z/methods/methods-news/newsDate/2013/january/15/newsArticle/methods-issue-12013.html, URL.
Lost in Publications? How to Find Your Way in 50 Million Scientific Documents. Ruotsalo* T, Peltonen* J, Eugster* MJA, Glowacka D, Jacucci G, Reijonen A and Kaski S (2013). Refereed extended abstract in the NIPS workshop "Big Learning: Advances in Algorithms and Data Management", Lake Tahoe, Nevada, US; http://biglearn.org/2013/; (* equal contribution), URL.
Benchmark Experiments – A Tool for Analyzing Statistical Learning Algorithms., Eugster MJA (2011). Dr. Hut-Verlag. ISBN 9783868539103, PhD thesis, Department of Statistics, Ludwig-Maximilians-Universität München, Munich, Germany, URL, Preprint.
Meta-Learning: Machine Learning with No Idea? Eugster MJA (2007). Master thesis, Department of Statistics and Probability Theory, Vienna University of Technology, Vienna, Austria. URL.
Measuring Concentration in Data with an Exogenous Order. Abedieh J, Groll A and Eugster MJA (2013). Technical Report 140, Institut für Statistik, Ludwig-Maximilians-Universität München, Germany. URL.
Low-Dimensional Information Discovery and Presentation System, Apparatus and Method. Ruotsalo TJ, Peltonen JT, Eugster MJA, Myllymäki PJ, Jacucci G, Kaski S and Glowacka D (2015). United States Patent Application 20150088871, URL.
benchmark: The Benchmark Experiment Toolbox. Eugster MJA (2011). R package, URL, CRAN, R-Forge.
archetypes: Archetypal Analysis. Eugster MJA (2011). R package; denoted as the reference implementation by one of the original authors (see A. Cutler, Remembering Leo Breiman, The Annals of Applied Statistics, 4(4), 2010), URL, CRAN, R-Forge.
roxygen2: In-source documentation for R. Wickham H, Danenberg P and Eugster MJA (2011). R package, URL, CRAN, GitHub.
Rsquared: Reproducible Research for the R community. Eugster MJA, Hothorn T and Leisch F (2011). Prototype implementation for the "Executable Paper Grand Challenge"; web service with R as back end, URL.
osmar: OpenStreetMap and R. Schlesinger T and Eugster MJA (2012). R package, URL, CRAN, R-Forge.
ISIPTA: Infrastructure for A Network Analysis of the Imprecise Probability Community. Eugster MJA, Walter G and Augustin T (2011). R package, URL, CRAN, GitHub.
SportsAnalysis: Infrastructure for Sports Analysis. Eugster MJA (2011). R package, URL, CRAN, R-Forge.
MUCflights: Munich Franz-Josef-Strauss Airport Pattern Analysis. Hothorn T and Eugster MJA (2011). R package. Additional authors are the students of the ‘Advanced R Programming Course’ Basil Abou El-Komboz and Andreas Bender and Abdelilah El Hadad and Laura Goeres and Roman Hornung and Max Hughes-Brandl and Christian Lindenlaub and Christina Riedel and Ariane Straub and Florian Wickler, URL.
High-dimensional additive models. Hothorn T and Eugster MJA (2010). R package. Additional authors are the students of the ‘Advanced R Programming Course’ Hannah Frick and Ivan Kondofersky and Oliver S. Kuehnle and Christian Lindenlaub and Georg Pfundstein and Matthias Speidel and Martin Spindler and Ariane Straub and Florian Wickler and Katharina Zink, URL, CRAN, R-Forge.
metlab: The Metrics Laboratory. Machado M and Eugster MJA (2009). R package; Google Summer of Code Project for the R Foundation, URL, R-Forge.
Roxygen: Literate Programming in R. Danenberg P and Eugster MJA (2008). R package; Google Summer of Code Project for the R Foundation, URL, CRAN, R-Forge.
Predicting Term-Relevance from Brain Signals. Eugster* MJA, Ruotsalo* T, Spapé* M, Kosunen I, Barral O, Ravaja N, Jacucci G and Kaski S (2014). Presented at "3rd BRAHE symposium", Helsinki, Finland. (* equal contribution), Slides.
MindSee: Symbiotic Mind Computer Interaction for Information Seeking. Eugster MJA (2014). Presented at "EU BCI Day/Graz BCI Conference", Graz, Austria, Slides.
Predicting Term-Relevance from Brain Signals. Eugster* MJA, Ruotsalo* T, Spapé* M, Kosunen I, Barral O, Ravaja N, Jacucci G and Kaski S (2014). Presented at "The 37th annual international ACM SIGIR conference", Gold Coast, Australia. (* equal contribution), Slides.
Predicting Term-Relevance from Brain Signals. Eugster* MJA, Ruotsalo* T, Spapé* M, Kosunen I, Barral O, Ravaja N, Jacucci G and Kaski S (2014). Presented at "2. MindSee Meeting", Helsinki, Finland. (* equal contribution).
Predicting Term-Relevance from Brain Signals. Eugster* MJA, Ruotsalo* T, Spapé* M, Kosunen I, Barral O, Ravaja N, Jacucci G and Kaski S (2014). Presented at "International Workshop on Symbiotic Interaction 2014", Helsinki, Finland. (* equal contribution), Slides.
MindSee: Symbiotic Mind Computer Interaction for Information Seeking. Eugster MJA (2014). Presented at "EU BCI Day/Graz BCI Conference", Graz, Austria, Slides.
psychoIR: Relevance Prediction. Eugster MJA and Kaski S (2013). Presented at "MindSee Kickoff Meeting", Berlin, Germany.
(Psycho-)Analysis of Benchmark Experiments: A Formal Framework for Investigating the Relationship between Data Sets and Learning Algorithms. Eugster MJA (2012). HIIT seminar, Helsinki Institute for Information Technology, Helsinki, Finland, Slides.
Archetypal Analysis—Mining of the Extreme. Eugster MJA (2012). HIIT seminar, Helsinki Institute for Information Technology, Helsinki, Finland, Slides.
Challenges of Reproducible and/or Repeatable Validation of Algorithms on Datasets. Eugster MJA (2012). Presented at "58. Biometrisches Kolloquium", Beuth Hochschule für Technik, Berlin, Germany, Slides.
A Unified Syntax for Structural Equation Modeling. Eugster MJA and Monecke A (2012). Presented at "Psychoco 2012: International Workshop on Psychometric Computing", Universität Innsbruck, Austria, Slides.
Reproducible Research: Wieso? Weshalb? Warum? Aber... Und Wie? Eugster MJA (2011). Invited talk at "Herbstworkshop der Arbeitsgruppen DGEpi, IBS-DR, GMDS und DGSMP", Ruhr-Universität Bochum, Bochum, Germany, Slides.
On the Power of Modern Statistical Methodology in Soccer Analysis – Archetypal Soccer Players. Eugster MJA, Abedieh J, Schnell C and Augustin T (2011). Presented at "Statistische Woche 2011", University of Leipzig, Leipzig, Germany, Slides.
The Rsquared Platform – Reproducible Research for the R Community. Eugster MJA (2011). Presented at "BioMed-S Referat", Schloß Höhenried, Bernau, Germany, Slides.
Benchmark Experiments – A Tool for Analyzing Statistical Learning Algorithms. Eugster MJA (2011). Rigorosum, Institut für Statistik, Ludwig-Maximilians-Universität München, Germany, Slides.
A Network Analysis of the Imprecise Probability Community based on ISIPTA Electronic Proceedings. Eugster MJA, Walter G and Augustin T (2011). Presented at "ISIPTA '11, 7th Seventh International Symposium on Imprecise Probability: Theories and Applications", University of Innsbruck, Austria; Best Poster Award, URL, Slides.
Sequential/Adaptive Benchmarking. Eugster MJA (2010). Invited lecture at “Forschungskolloqium” Institut fü Medizinische Biometrie und Statistik, Universität zu Lübeck, Germany, Slides.
Sequential/Adaptive Benchmarking. Eugster MJA (2010). Presented at “Validation in Statistics and Machine Learning”, Weierstrass Institute for Applied Analysis and Stochastics, Berlin, Germany, Slides.
Roxygen Tutorial. Danenberg P and Eugster MJA (2010). Tutorial at “useR! 2010”, National Institute of Standards and Technology (NIST), Gaithersburg, Maryland, USA, URL.
Sequential Benchmarking. Eugster MJA and Leisch F (2010). Presented at “Statistical Computing 2010”, Schloß Reisensburg, Günzburg, Germany, Slides.
mlr and benchmark: Setup, Execution and Analysis of Benchmark Experiments in R. Bischl B and Eugster MJA (2010). Software demo presented at “Statistical Computing 2010”, Schloß Reisensburg, Günzburg, Germany.
Benchmark Experiments – Comparing Statistical Learning Algorithms. Eugster MJA (2009). Invited lecture at Technische Universität Dortmund, Germany, Slides.
Roxygen: A Documentation System for R – Part I: An Introduction. Eugster MJA (2009). Presented at “Directions in Statistical Computing DSC 2009”, University of Copenhagen, Denmark, Slides.
Parallel computing with R. Eugster MJA, Knaus J, Porzelius C and Schmidberger M (2009). Tutorial at “Statistical Computing 2009”, Schloss Reisensburg, Günzburg, Germany, URL.
Bench Plot and Mixed Effects Models: First steps toward a comprehensive benchmark analysis toolbox. Eugster MJA and Leisch F (2008). Presented at “COMPSTAT 2008”, Porto, Portugal, Slides.
Exploratory and Inferential Analysis of Benchmark Experiments. Eugster MJA and Leisch F (2008). Presented at “useR! 2008”, Technische Universität Dortmund, Germany, Slides.
Visualisation of Benchmark Experiments. Eugster MJA and Leisch F (2008). Presented at “Statistical Graphics: Data and Information Visualization in Today's Multimedia Society”, Jacobs University Bremen, Germany, Slides.
Exploratory and Inferential Analysis of Benchmark Experiments. Eugster MJA and Leisch F (2008). Presented at “Statistical Computing 2008”, Schloß Reisensburg, Günzburg, Germany, Slides.