Jaakko Hollmen

Senior University Lecturer
Senior University Lecturer
T313 Dept. Computer Science
Full researcher profile
[email protected]


Best paper finalist and runner-up award, Computer Track

The first IEEE Life Sciences Conference (LSC), best paper finalist and runner up award for the Computer track for the paper "Prediction of major complications affecting very low birth weight infants" by Olli-Pekka Rinta-Koski, Simo Särkkä, Jaakko Hollmén, Markus Leskinen, Krista Rantakari and Sture Andersson
Award or honor granted for a specific work Professorship Rousu Juho Dec 2017


  • Computer Science Lecturers, Senior University Lecturer
  • Lecturer Hollmen Jaakko group, Senior University Lecturer
  • Professorship Rousu Juho, Senior University Lecturer
  • Helsinki Institute for Information Technology (HIIT), Senior University Lecturer


A Bayesian Optimization Approach for Calibrating Large-Scale Activity-Based Transport Models

Serio Agriesti, Vladimir Kuzmanovski, Jaakko Hollmen, Claudio Roncoli, bat-hen nahmias-biran 2023

Semi-parametric Approach to Random Forests for High-Dimensional Bayesian Optimisation

Vladimir Kuzmanovski, Jaakko Hollmén 2022 Discovery Science - 25th International Conference, DS 2022, Proceedings

Principal Component Analysis Visualizations in State Discovery by Animating Exploration Results

Miki Sirola, Olli Pekka Rinta-Koski, Le Ngu Nguyen, Jaakko Hollmen 2022 Proceedings - 2022 IEEE International Conference on Smart Computing, SMARTCOMP 2022

Composite Surrogate for Likelihood-Free Bayesian Optimisation in High-Dimensional Settings of Activity-Based Transportation Models

Vladimir Kuzmanovski, Jaakko Hollmen 2021 Advances in Intelligent Data Analysis XIX - 19th International Symposium on Intelligent Data Analysis, IDA 2021, Proceedings

Early oxygen levels contribute to brain injury in extremely preterm infants

Krista Rantakari, Olli Pekka Rinta-Koski, Marjo Metsäranta, Jaakko Hollmén, Simo Särkkä, Petri Rahkonen, Aulikki Lano, Leena Lauronen, Päivi Nevalainen, Markus J. Leskinen, Sture Andersson 2021

State Discovery and Prediction from Multivariate Sensor Data

Olli Pekka Rinta-Koski, Miki Sirola, Le Ngu Nguyen, Jaakko Hollmén 2021 Advanced Analytics and Learning on Temporal Data - 6th ECML PKDD Workshop, AALTD 2021, Revised Selected Papers

Machine Learning Methods for Neonatal Mortality and Morbidity Classification

Joel Jaskari, Janne Myllarinen, Markus Leskinen, Ali Bahrami Rad, Jaakko Hollmén, Sture Andersson, Simo Sarkka 2020

Clustering Diagnostic Profiles of Patients

Jaakko Hollmén, Panagiotis Papapetrou 2019 Artificial Intelligence Applications and Innovations - 15th IFIP WG 12.5 International Conference, AIAI 2019, Proceedings

Temporal Analysis of Adverse Weather Conditions Affecting Wheat Production in Finland

Vladimir Kuzmanovski, Mika Sulkava, Taru Palosuo, Jaakko Hollmén 2019 Discovery Science 22nd International Conference, DS 2019, Proceedings

Exploring epistaxis as an adverse effect of anti-thrombotic drugs and outdoor temperature

Jaakko Hollmén, Henrik Boström, Lars Asker, Isak Karlsson, Panagiotis Papapetrou, Birgitta Norstedt Wikner, Inger Ohman 2018 Proceedings of the 11th PErvasive Technologies Related to Assistive Environments Conference, PETRA 2018