Go to Header Go to Navigation Go to Content Go to Footer

Jukka-Pekka Kauppi

No active affiliation

Projects as Principal investigator

Neuroscientifically motivated novel decoding methods for multichannel electromyographic and magnetoencephalographic signals
- Research Council of Finland
01/09/2015-31/08/2018

Publications and other outputs

Go to first page

Go to previous page

1 of 2

Go to next page

Go to last page

Classification of middle- and long-distance runners based upon their performance (2023) Iljukov, S.; et al.; A1
Predicting ACL Injury Using Machine Learning on Data From an Extensive Screening Test Battery of 880 Female Elite Athletes (2022) Jauhiainen, Susanne; et al.; A1; OA
Predicting Future Overweight and Obesity from Childhood Growth Data : A Case Study (2022) Rautiainen, Ilkka; et al.; A3; 978-3-030-70787-3
Information Extraction from Binary Skill Assessment Data with Machine Learning (2021) Jauhiainen, Susanne; et al.; A1; OA
Neural-level associations of non-verbal pragmatic comprehension in young Finnish autistic adults (2021) Kotila, Aija; et al.; A1; OA
New Machine Learning Approach for Detection of Injury Risk Factors in Young Team Sport Athletes (2021) Jauhiainen, Susanne; et al.; A1; OA
Precision exercise medicine : predicting unfavourable status and development in the 20-m shuttle run test performance in adolescence with machine learning (2021) Joensuu, Laura; et al.; A1; OA
A hierarchical cluster analysis to determine whether injured runners exhibit similar kinematic gait patterns (2020) Jauhiainen, Susanne; et al.; A1; OA
Association Between Implementation of the Athlete Biological Passport and Female Elite Runners’ Performance (2020) Iljukov, Sergei; et al.; A1; OA
Brain and behavioral alterations in subjects with social anxiety dominated by empathic embarrassment (2020) Tei, Shisei; et al.; A1; OA
Time-resolved classification of dog brain signals reveals early processing of faces, species and emotion (2020) Kujala, Miiamaaria V.; et al.; A1; OA
Inter-subject correlation of temporoparietal junction activity is associated with conflict patterns during flexible decision-making (2019) Tei, Shisei; et al.; A1
Talent identification in soccer using a one-class support vector machine (2019) Jauhiainen, S.; et al.; A1; OA
Collaborative roles of temporoparietal junction and dorsolateral prefrontal cortex in different types of behavioural flexibility (2017) Tei, Shisei; et al.; A1; OA
Decoding Emotional Valence from Electroencephalographic Rhythmic Activity (2017) Çelikkanat, Hande; et al.; A4; OA