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

• GPstuff Toolbox for Matlab (published in July 2008)