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

Nikolaos Evangelou

Showing results (1-10 of 8) with videos related to

Pageof 1
Sort By:
Chaos (Woodbury, N.Y.)|June 12, 2024
Tipping points of evolving epidemiological networks: Machine learning-assisted, data-driven effective modelingNikolaos Evangelou, Tianqi Cui, Juan M Bello-Rivas, et al.
Chaos (Woodbury, N.Y.)|October 2, 2021
Initializing LSTM internal states via manifold learningFelix P Kemeth, Tom Bertalan, Nikolaos Evangelou, et al.
Physical Review. E|August 20, 2024
Machine learning for the identification of phase transitions in interacting agent-based systems: A Desai-Zwanzig exampleNikolaos Evangelou, Dimitris G Giovanis, George A Kevrekidis, et al.
Chaos (Woodbury, N.Y.)|March 1, 2023
Learning effective stochastic differential equations from microscopic simulations: Linking stochastic numerics to deep learningFelix Dietrich, Alexei Makeev, George Kevrekidis, et al.
PNAS Nexus|January 30, 2023
On the parameter combinations that matter and on those that do not: data-driven studies of parameter (non)identifiabilityNikolaos Evangelou, Noah J Wichrowski, George A Kevrekidis, et al.
Nature Communications|May 15, 2024
Task-oriented machine learning surrogates for tipping points of agent-based modelsGianluca Fabiani, Nikolaos Evangelou, Tianqi Cui, et al.
Nature Communications|May 31, 2023
Machine learning-assisted crystal engineering of a zeoliteXinyu Li, He Han, Nikolaos Evangelou, et al.
BMJ Neurology Open|September 12, 2024
Brain reserve and physical disability in secondary progressive multiple sclerosisNevin John, Yingtong Li, Floriana De Angelis, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Chaos (Woodbury, N.Y.)|June 12, 2024
Tipping points of evolving epidemiological networks: Machine learning-assisted, data-driven effective modelingNikolaos Evangelou, Tianqi Cui, Juan M Bello-Rivas, et al.
Chaos (Woodbury, N.Y.)|October 2, 2021
Initializing LSTM internal states via manifold learningFelix P Kemeth, Tom Bertalan, Nikolaos Evangelou, et al.
Physical Review. E|August 20, 2024
Machine learning for the identification of phase transitions in interacting agent-based systems: A Desai-Zwanzig exampleNikolaos Evangelou, Dimitris G Giovanis, George A Kevrekidis, et al.
Chaos (Woodbury, N.Y.)|March 1, 2023
Learning effective stochastic differential equations from microscopic simulations: Linking stochastic numerics to deep learningFelix Dietrich, Alexei Makeev, George Kevrekidis, et al.
PNAS Nexus|January 30, 2023
On the parameter combinations that matter and on those that do not: data-driven studies of parameter (non)identifiabilityNikolaos Evangelou, Noah J Wichrowski, George A Kevrekidis, et al.
Nature Communications|May 15, 2024
Task-oriented machine learning surrogates for tipping points of agent-based modelsGianluca Fabiani, Nikolaos Evangelou, Tianqi Cui, et al.
Nature Communications|May 31, 2023
Machine learning-assisted crystal engineering of a zeoliteXinyu Li, He Han, Nikolaos Evangelou, et al.
BMJ Neurology Open|September 12, 2024
Brain reserve and physical disability in secondary progressive multiple sclerosisNevin John, Yingtong Li, Floriana De Angelis, et al.
Pageof 1