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

Juho Kanniainen

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

Pageof 1
Sort By:
Plos One|June 14, 2018
Dynamics of investor spanning trees around dot-com bubbleSindhuja Ranganathan, Mikko Kivelä, Juho Kanniainen
IEEE Transactions on Neural Networks and Learning Systems|October 1, 2025
Optimizing the Output of Long Short-Term Memory Cell for High-Frequency Forecasting in Financial MarketsAdamantios Ntakaris, Moncef Gabbouj, Juho Kanniainen
Scientific Reports|May 31, 2018
Multilayer Aggregation with Statistical Validation: Application to Investor NetworksKęstutis Baltakys, Juho Kanniainen, Frank Emmert-Streib
Entropy (Basel, Switzerland)|April 3, 2021
Structure of Investor Networks and Financial CrisesKęstutis Baltakys, Hung Le Viet, Juho Kanniainen
Plos One|June 13, 2020
Mid-price prediction based on machine learning methods with technical and quantitative indicatorsAdamantios Ntakaris, Juho Kanniainen, Moncef Gabbouj, et al.
Scientific Reports|May 20, 2022
Prognostic modeling of predictive maintenance with survival analysis for mobile work equipmentZhen Yang, Juho Kanniainen, Tomi Krogerus, et al.
IEEE Transactions on Neural Networks and Learning Systems|October 4, 2018
Temporal Attention-Augmented Bilinear Network for Financial Time-Series Data AnalysisDat Thanh Tran, Alexandros Iosifidis, Juho Kanniainen, et al.
IEEE Transactions on Neural Networks and Learning Systems|December 24, 2019
Deep Adaptive Input Normalization for Time Series ForecastingNikolaos Passalis, Anastasios Tefas, Juho Kanniainen, et al.
Journal of Medical Systems|May 26, 2023
Early Warning Software for Emergency Department CrowdingJalmari Tuominen, Teemu Koivistoinen, Juho Kanniainen, et al.
Journal of Medical Systems|January 14, 2025
Forecasting Mortality Associated Emergency Department Crowding with LightGBM and Time Series DataJalmari Nevanlinna, Anna Eidstø, Jari Ylä-Mattila, et al.
Pageof 1

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

Sort By:
Pageof 1
Plos One|June 14, 2018
Dynamics of investor spanning trees around dot-com bubbleSindhuja Ranganathan, Mikko Kivelä, Juho Kanniainen
IEEE Transactions on Neural Networks and Learning Systems|October 1, 2025
Optimizing the Output of Long Short-Term Memory Cell for High-Frequency Forecasting in Financial MarketsAdamantios Ntakaris, Moncef Gabbouj, Juho Kanniainen
Scientific Reports|May 31, 2018
Multilayer Aggregation with Statistical Validation: Application to Investor NetworksKęstutis Baltakys, Juho Kanniainen, Frank Emmert-Streib
Entropy (Basel, Switzerland)|April 3, 2021
Structure of Investor Networks and Financial CrisesKęstutis Baltakys, Hung Le Viet, Juho Kanniainen
Plos One|June 13, 2020
Mid-price prediction based on machine learning methods with technical and quantitative indicatorsAdamantios Ntakaris, Juho Kanniainen, Moncef Gabbouj, et al.
Scientific Reports|May 20, 2022
Prognostic modeling of predictive maintenance with survival analysis for mobile work equipmentZhen Yang, Juho Kanniainen, Tomi Krogerus, et al.
IEEE Transactions on Neural Networks and Learning Systems|October 4, 2018
Temporal Attention-Augmented Bilinear Network for Financial Time-Series Data AnalysisDat Thanh Tran, Alexandros Iosifidis, Juho Kanniainen, et al.
IEEE Transactions on Neural Networks and Learning Systems|December 24, 2019
Deep Adaptive Input Normalization for Time Series ForecastingNikolaos Passalis, Anastasios Tefas, Juho Kanniainen, et al.
Journal of Medical Systems|May 26, 2023
Early Warning Software for Emergency Department CrowdingJalmari Tuominen, Teemu Koivistoinen, Juho Kanniainen, et al.
Journal of Medical Systems|January 14, 2025
Forecasting Mortality Associated Emergency Department Crowding with LightGBM and Time Series DataJalmari Nevanlinna, Anna Eidstø, Jari Ylä-Mattila, et al.
Pageof 1