| Machine learning algorithm validation with a limited sample size A Vabalas, E Gowen, E Poliakoff, AJ Casson PloS one 14 (11), e0224365, 2019 | 1141 | 2019 |
| 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 | 98 | 2016 |
| 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 | 65 | 2020 |
| 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 | 14 | 2020 |
| 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 | 12 | 2023 |
| 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 | 11 | 2023 |
| 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 | 10 | 2019 |
| 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 | 6 | 2023 |
| 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, 1-14, 2024 | | 2024 |
| 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 |
| 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 | | 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 | | |
Alex CassonUniversity of Manchester: Professor of Biomedical Engineering在 manchester.ac.uk 的电子邮件经过验证
