Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Andrius Vabalas

Showing results (1-10 of 10) with videos related to

Pageof 1
Sort By:
Journal of Autism and Developmental Disorders|August 8, 2015
Brief Report: Patterns of Eye Movements in Face to Face Conversation are Associated with Autistic Traits: Evidence from a Student SampleAndrius Vabalas, Megan Freeth
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Kinematic features of a simple and short movement task to predict autism diagnosisAndrius Vabalas, Emma Gowen, Ellen Poliakoff, et al.
Scientific Reports|May 21, 2020
Applying Machine Learning to Kinematic and Eye Movement Features of a Movement Imitation Task to Predict Autism DiagnosisAndrius Vabalas, Emma Gowen, Ellen Poliakoff, et al.
Autism : the International Journal of Research and Practice|November 23, 2019
Instructions to attend to an observed action increase imitation in autistic adultsEmma Gowen, Andrius Vabalas, Alexander J Casson, et al.
Plos One|November 8, 2019
Machine learning algorithm validation with a limited sample sizeAndrius Vabalas, Emma Gowen, Ellen Poliakoff, et al.
Annals of Epidemiology|September 13, 2025
Towards modeling evolving longitudinal health trajectories with a transformer-based deep learning modelHans Moen, Vishnu Raj, Andrius Vabalas, et al.
Nature Aging|June 24, 2024
Deep learning-based prediction of one-year mortality in Finland is an accurate but unfair aging markerAndrius Vabalas, Tuomo Hartonen, Pekka Vartiainen, et al.
Nature Human Behaviour|April 20, 2023
Nationwide health, socio-economic and genetic predictors of COVID-19 vaccination status in FinlandTuomo Hartonen, Bradley Jermy, Hanna Sõnajalg, et al.
The Lancet. Digital Health|October 27, 2023
Risk factors for severe respiratory syncytial virus infection during the first year of life: development and validation of a clinical prediction modelPekka Vartiainen, Sakari Jukarainen, Samuel Arthur Rhedin, et al.
International Journal of Epidemiology|June 27, 2023
Data Resource Profile: Nationwide registry data for high-throughput epidemiology and machine learning (FinRegistry)Essi Viippola, Sara Kuitunen, Rodosthenis S Rodosthenous, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Journal of Autism and Developmental Disorders|August 8, 2015
Brief Report: Patterns of Eye Movements in Face to Face Conversation are Associated with Autistic Traits: Evidence from a Student SampleAndrius Vabalas, Megan Freeth
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Kinematic features of a simple and short movement task to predict autism diagnosisAndrius Vabalas, Emma Gowen, Ellen Poliakoff, et al.
Scientific Reports|May 21, 2020
Applying Machine Learning to Kinematic and Eye Movement Features of a Movement Imitation Task to Predict Autism DiagnosisAndrius Vabalas, Emma Gowen, Ellen Poliakoff, et al.
Autism : the International Journal of Research and Practice|November 23, 2019
Instructions to attend to an observed action increase imitation in autistic adultsEmma Gowen, Andrius Vabalas, Alexander J Casson, et al.
Plos One|November 8, 2019
Machine learning algorithm validation with a limited sample sizeAndrius Vabalas, Emma Gowen, Ellen Poliakoff, et al.
Annals of Epidemiology|September 13, 2025
Towards modeling evolving longitudinal health trajectories with a transformer-based deep learning modelHans Moen, Vishnu Raj, Andrius Vabalas, et al.
Nature Aging|June 24, 2024
Deep learning-based prediction of one-year mortality in Finland is an accurate but unfair aging markerAndrius Vabalas, Tuomo Hartonen, Pekka Vartiainen, et al.
Nature Human Behaviour|April 20, 2023
Nationwide health, socio-economic and genetic predictors of COVID-19 vaccination status in FinlandTuomo Hartonen, Bradley Jermy, Hanna Sõnajalg, et al.
The Lancet. Digital Health|October 27, 2023
Risk factors for severe respiratory syncytial virus infection during the first year of life: development and validation of a clinical prediction modelPekka Vartiainen, Sakari Jukarainen, Samuel Arthur Rhedin, et al.
International Journal of Epidemiology|June 27, 2023
Data Resource Profile: Nationwide registry data for high-throughput epidemiology and machine learning (FinRegistry)Essi Viippola, Sara Kuitunen, Rodosthenis S Rodosthenous, et al.
Pageof 1