Valtteri Nieminen
valtteri.a.nieminen@utu.fi Office: 452B ORCID identifier: https://orcid.org/0000-0002-3550-0561 |
Areas of expertise
Machine Learning; Data Analysis; Life Sciences; Education; Medical Informatics
Machine Learning; Data Analysis; Life Sciences; Education; Medical Informatics
Research community or research topic
Currently I am working on the data-privacy related PRIVASA project and the HCT 2.0 project.
Currently I am working on the data-privacy related PRIVASA project and the HCT 2.0 project.
Biography
Research
My research focus is on data privacy-preserving learning techniques in life sciences, machine learning methods and federated learning techniques. Additionally I work with data harmonization and federation in medicine, such as the OMOP Common data model.
Teaching
Data analytics courses teaching assistant.
Publications
- Response to Commentary by Dehaene et al. on Synthetic Discovery is not only a Problem of Differentially Private Synthetic Data (2025)
- Methods of Information in Medicine
(B1 Non-refereed article in a scientific journal) - Benchmarking Evaluation Protocols for Classifiers Trained on Differentially Private Synthetic Data (2024)
- IEEE Access
(A1 Refereed original research article in a scientific journal) - Deep Learning Models for Predicting Overall Survival of Acute Myeloid Leukemia Using Short-Term Longitudinal Blood Measurements and the Omop Common Data Model (2024)
- Blood
(Abstract) - Does Differentially Private Synthetic Data Lead to Synthetic Discoveries? (2024)
- Methods of Information in Medicine
(A1 Refereed original research article in a scientific journal) - Finnish perspective on using synthetic health data to protect privacy: the PRIVASA project (2024)
- Applied Computing and Intelligence
(A1 Refereed original research article in a scientific journal) - Relationships between self-efficacy and learning approaches as perceived by computer science students (2024)
- Frontiers in Education
(A1 Refereed original research article in a scientific journal) - Empirical evaluation of amplifying privacy by subsampling for GANs to create differentially private synthetic tabular data (2023)
- CEUR Workshop Proceedings
(A4 Refereed article in a conference publication ) - Evaluating Classifiers Trained on Differentially Private Synthetic Health Data (2023)
- Proceedings (IEEE International Symposium on Computer-Based Medical Systems)
(A4 Refereed article in a conference publication ) - Aging and sleep deprivation affect different neurocognitive stages of spatial information processing during a virtual driving task – An ERP study (2022)
- Transportation Research Part F: Traffic Psychology and Behaviour
(A1 Refereed original research article in a scientific journal) - Differential interactions of age and sleep deprivation in driving and spatial perception by male drivers in a virtual reality environment (2021)
- Scandinavian Journal of Psychology
(A1 Refereed original research article in a scientific journal) - ProMot-menetelmä opiskelumotivaatiotaidon kehittämiseksi (2020) OHO-opas - opiskelukykyä, hyvinvointia ja osallisuutta korkeakouluihin Ari Kaukiainen, Tiina Tuominen, Satu Laitinen, Janne Rantasaari, Valtteri Nieminen
(D2 Article in a professional compilation book)
UTU Research Portal