Valtteri
Nieminen
Project Researcher, Health Technology
Currently I am working on the data-privacy related PRIVASA project and the HCT 2.0 project.
Contact
Links
Areas of expertise
Machine Learning
Data Analysis
Life Sciences
Education
Medical Informatics
Teaching
Data analytics courses teaching assistant.
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.
Publications
Evaluating Classifiers Trained on Differentially Private Synthetic Health Data (2023)
International Symposium on Computer-Based Medical Systems (CBMS), Proceedings (IEEE International Symposium on Computer-Based Medical Systems)
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))
Empirical evaluation of amplifying privacy by subsampling for GANs to create differentially private synthetic tabular data (2023)
Annual Symposium for Computer Science, CEUR Workshop Proceedings
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))
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
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))
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
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))