Követés
Andrius Vabalas
Andrius Vabalas
Institute for Molecular Medicine Finland (FIMM)
E-mail megerősítve itt: helsinki.fi
Cím
Hivatkozott rá
Hivatkozott rá
Év
Machine learning algorithm validation with a limited sample size
A Vabalas, E Gowen, E Poliakoff, AJ Casson
PloS one 14 (11), e0224365, 2019
14042019
Brief report: Patterns of eye movements in face to face conversation are associated with autistic traits: Evidence from a student sample
A Vabalas, M Freeth
Journal of autism and developmental disorders 46, 305-314, 2016
1012016
Applying machine learning to kinematic and eye movement features of a movement imitation task to predict autism diagnosis
A Vabalas, E Gowen, E Poliakoff, AJ Casson
Scientific reports 10 (1), 8346, 2020
752020
Nationwide health, socio-economic and genetic predictors of COVID-19 vaccination status in Finland
T Hartonen, B Jermy, H Sõnajalg, P Vartiainen, K Krebs, A Vabalas, ...
Nature Human Behaviour 7 (7), 1069-1083, 2023
292023
Risk factors for severe respiratory syncytial virus infection during the first year of life: development and validation of a clinical prediction model
P Vartiainen, S Jukarainen, SA Rhedin, A Prinz, T Hartonen, A Vabalas, ...
The Lancet Digital Health 5 (11), e821-e830, 2023
242023
Instructions to attend to an observed action increase imitation in autistic adults
E Gowen, A Vabalas, AJ Casson, E Poliakoff
Autism 24 (3), 730-743, 2020
162020
Data Resource Profile: Nationwide registry data for high-throughput epidemiology and machine learning (FinRegistry)
E Viippola, S Kuitunen, RS Rodosthenous, A Vabalas, T Hartonen, ...
International Journal of Epidemiology 52 (4), e195-e200, 2023
152023
Kinematic features of a simple and short movement task to predict autism diagnosis
A Vabalas, E Gowen, E Poliakoff, AJ Casson
2019 41st Annual International Conference of the IEEE Engineering in …, 2019
112019
Deep learning-based prediction of one-year mortality in Finland is an accurate but unfair aging marker
A Vabalas, T Hartonen, P Vartiainen, S Jukarainen, E Viippola, ...
Nature Aging 4 (7), 1014-1027, 2024
32024
Towards modeling evolving longitudinal health trajectories with a transformer-based deep learning model
H Moen, V Raj, A Vabalas, M Perola, S Kaski, A Ganna, P Marttinen
arXiv preprint arXiv:2412.08873, 2024
12024
Deep learning-based prediction of one-year mortality in the entire Finnish population is an accurate but unfair digital marker of aging
A Vabalas, T Hartonen, P Vartiainen, S Jukarainen, E Viippola, ...
medRxiv, 2023.09. 18.23295726, 2023
12023
A deep learning model accurately predicts 1-year mortality but at the risk of unfairness
A Vabalas, A Ganna
Nature Aging 4, 913-914, 2024
2024
Rekisteritutkimus RSV-infektion riskitekijöistä voi auttaa uusien profylaksien kohdentamisessa
P Vartiainen, S Jukarainen, SA Rhedin, A Prinz, T Hartonen, A Vabalas, ...
Duodecim 139 (23), 1993, 2023
2023
Health, socioeconomic and genetic predictors of COVID-19 vaccination uptake: a nationwide machine-learning study
T Hartonen, B Jermy, H Sõnajalg, P Vartiainen, K Krebs, A Vabalas, ...
medRxiv, 2022.11. 11.22282213, 2022
2022
Risk of hospitalization and burden of disease from respiratory syncytial virus (RSV) infection during the first year of life-a clinical prediction model based on nationwide …
P Vartiainen, S Jukarainen, A Vabalas, R Rodosthenous, S Kuitunen, ...
2021
Designing and implementing robust machine learning to characterise motor and imitation ability in autistic adults
A Vabalas
PQDT-Global, 2020
2020
Abstract for ECVP 2015 Symposium: Observer Effects on Eye Movement Research" Temporal dynamics of social attention in face-to-face situations"
M Freeth, A Vablas
Perception 44, 78-79, 2015
2015
Research briefing
A Vabalas, A Ganna
Interpretable deep neural networks for kinematic data of a short movement task predicting autism diagnosis
A Vabalas, E Gowen, E Poliakoff, AJ Casson
Designing and implementing robust machine learning to characterise motor and …, 0
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Cikkek 1–19