Manuel J. A. Eugster
Postdoctoral researcher
I am a postdoctoral researcher at Helsinki Institute for Information Technology HIIT, in the Statistical Machine Learning and Bioinformatics research group. I am a member of the Centre of Excellence in Computational Inference Research COIN.
Contact
- Office:
-
Room T-A326 in Computer Science Building,
Konemiehentie 2, Otaniemi campus area, Espoo - Postal Address:
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Aalto University School of Science,
Department of Computer Science,
P.O. Box 15400, FI-00076 Aalto, Finland - Telephone:
- +358503841544
- Email:
- firstname.lastname@hiit.fi
Web presence
Research
My research field is in the intersection of computational statistics, statistical machine learning, and statistical software. Topics of my current research interests include information retrieval using Brain Computer Interface technology, and archetypal analysis.
Papers, Workshops, Books, Reports, Software, Talks.
Recent publications
Predicting Relevance of Text from Neuro-Physiology. Manuel J. A. Eugster*, Tuukka Ruotsalo*, Michiel M. Spapé*, Ilkka Kosunen, Oswald Barral, Niklas Ravaja, Giulio Jacucci, and Samuel Kaski. In SIGIR 2015 workshop "NeuroIR 2015 -- Neuro-Physiological Methods in IR Research", 2015.
Probabilistic Archetypal Analysis. Sohan Seth and Manuel J. A. Eugster. Machine Learning, 2015, to appear. Accepted for publication on 12-04-2015.
Exploring peripheral physiology as a predictor of perceived relevance in information retrieval. Oswald Barral, Manuel J.A. Eugster, Tuukka Ruotsalo, Michiel M. Spapé, Ilkka Kosunen, Niklas Ravaja, Samuel Kaski, and Giulio Jacucci. In Proceedings of the 20th International Conference on Intelligent User Interfaces, pages 389--399, New York, NY, 2015. ACM.
A statistical framework for hypothesis testing in real data comparison studies Anne-Laure Boulesteix, Robert Hable, Sabine Lauer, Manuel J. A. Eugster. The American Statistician, 2015, to appear.
Predicting Term-Relevance from Brain Signals. Manuel J. A. Eugster*, Tuukka Ruotsalo*, Michiel M. Spapé*, Ilkka Kosunen, Oswald Barral, Niklas Ravaja, Giulio Jacucci, and Samuel Kaski. In Proceedings of the 37th International ACM SIGIR Conference on Research & Development in Information Retrieval, pages 425--434, New York, NY, 2014. ACM. (* equal contributions)
(Psycho-)Analysis of Benchmark Experiments -- A Formal Framework for Investigating the Relationship between Data Sets and Learning Algorithms. Manuel J. A. Eugster, Friedrich Leisch, and Carolin Strobl. Computational Statistics & Data Analysis, 71:986--1000, 2014.
Directing Exploratory Search with Interactive Intent Modeling. Tuukka Ruotsalo*, Jaakko Peltonen*, Manuel J. A. Eugster*, Dorota Glowacka, Ksenia Konyushkova, Kumaripaba Athukorala, Ilkka Kosunen, Aki Reijonen, Petri Myllymäki, Giulio Jacucci, and Samuel Kaski. In Proceedings of CIKM 2013, the ACM International Conference of Information and Knowledge Management, pages 1759--1764, New York, NY, 2013. ACM. (* equal contributions)
Teaching
In Spring 2015 I lecture the special course T-61.6060 "You're Always On My Mind": Acquisition and Analysis of EEG Data together with Michiel Sovijärvi-Spapé (EEG data and final project presentations).
In Spring 2014 I give a “guest lecture” in the special course T-61.6030 Systematic Evaluation of Machine Learning Algorithms on “Benchmark Experiments & Hypothesis Testing”.
In Fall 2013 I lecture the special course T-61.6040 Advanced Information Visualization together with Kerstin Bunte and Jaakko Peltonen (flyer, Stories about movies!).