Jaakko Riihimäki
Doctoral student, M.Sc.
- Postal Address:
- Aalto University
- Department of Biomedical Engineering and Computational Science
- P.O. Box 12200
- FI-00076 AALTO, FINLAND
- Visiting Address:
- Rakentajanaukio 2, 02150 Espoo
- (F-talo, 3rd floor, Room F 307)
- Email:
-
Research Interests
- Methodology
- Bayesian modelling
- Approximate inference
- Non-parametric models, e.g. Gaussian processes
- Applications
- Health care data analysis
Publications
In journals
- Heikki Joensuu, Aki Vehtari, Jaakko Riihimäki, Toshirou
Nishida, Sonja E Steigen, Peter Brabec, Lukas Plank, Bengt Nilsson,
Claudia Cirilli, Chiara Braconi, Andrea Bordoni, Magnus K Magnusson,
Zdenek Linke, Jozef Sufliarsky, Federico Massimo, Jon G Jonasson,
Angelo Paolo Dei Tos and Piotr Rutkowski (2011). Risk of
gastrointestinal stromal tumour recurrence after surgery: an
analysis of pooled population-based cohorts. In The Lancet
Oncology.
- Jaakko Riihimäki, Reijo Sund and Aki Vehtari (2009).
Analysing the length of care episode after hip fracture: a
nonparametric and a parametric Bayesian approach. Health Care
Management Science.
- Reijo Sund, Jaakko Riihimäki, Matti Mäkelä, Aki Vehtari, Peter
Lüthje, Tiina Huusko and Unto Häkkinen (2009). Modeling the length
of care episode after hip fracture: does the type of fracture matter?
Scandinavian Journal of Surgery, 98(3):169-174.
In conference proceedings
- Jouni Hartikainen, Jaakko Riihimäki and Simo Särkkä
(2011). Sparse Spatio-Temporal Gaussian Processes with General
Likelihoods. In Proceedings of International Conference on Artificial
Neural Networks, ICANN 2011
- Jaakko Riihimäki and Aki Vehtari (2010). Gaussian processes with
monotonicity information. In Journal of Machine Learning
Research: Workshop and Conference Proceedings, 9:645-652,
AISTATS 2010.
- Eli Parviainen, Jaakko Riihimäki, Yoan Miche, Amaury Lendasse
(2010). Interpreting Extreme Learning Machine as an approximation to
an infinite neural network. In Proceedings of the International
Conference on Knowledge Discovery and Information Retrieval
Proceeding, KDIR 2010.
Talks
- Jaakko Riihimäki and Aki Vehtari (2008). Variable selection for
Gaussian processes using Kullback-Leibler projections. Oral
presentation at the international conference of the Royal Statistical
Society 2008.
- Jaakko Riihimäki, Aki Vehtari, Reijo Sund and Jouko Lampinen
(2006). A Bayesian nonparametric approach for modelling the lengths of
stay in a treatment process. Oral presentation at the international
conference of the Royal Statistical Society 2006.
Thesis
- Jaakko Riihimäki (2006). Bayesian Modelling of the Treatment
Chain of Hip Fracture Patients. M.Sc. Thesis, Helsinki University of
Technology.
Software
I have participated in writing the GPstuff software package:
Page updated Feb 2012
URL: http://www.lce.hut.fi/~jtriihim/