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

Ville Hautamäki

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

Pageof 1
Sort By:
IEEE Transactions on Pattern Analysis and Machine Intelligence|October 27, 2006
Fast agglomerative clustering using a k-nearest neighbor graphPasi Fränti, Olli Virmajoki, Ville Hautamäki
Plos One|February 6, 2024
Inferring personal intake recommendations of phosphorous and potassium for end-stage renal failure patients by simulating with Bayesian hierarchical multivariate modelJari Turkia, Ursula Schwab, Ville Hautamäki
Statistics in Medicine|March 3, 2026
Personalized Nutrition Recommendations Using a Bayesian Mixture Model of Concentration Constraints and Intake PreferencesJari Turkia, Ursula Schwab, Ville Hautamäki
The Journal of the Acoustical Society of America|August 3, 2019
On the limits of automatic speaker verification: Explaining degraded recognizer scores through acoustic changes resulting from voice disguiseRosa González Hautamäki, Ville Hautamäki, Tomi Kinnunen
Scientific Reports|June 9, 2021
Mixed-effect Bayesian network reveals personal effects of nutritionJari Turkia, Lauri Mehtätalo, Ursula Schwab, et al.
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|December 4, 2019
Semisupervised Generative Autoencoder for Single-Cell DataTrung Ngo Trong, Juha Mehtonen, Gerardo González, et al.
Nucleic Acids Research|July 23, 2019
Data-driven characterization of molecular phenotypes across heterogeneous sample collectionsJuha Mehtonen, Petri Pölönen, Sergei Häyrynen, et al.
Cancer Research|April 4, 2019
Hemap: An Interactive Online Resource for Characterizing Molecular Phenotypes across Hematologic MalignanciesPetri Pölönen, Juha Mehtonen, Jake Lin, et al.
Pageof 1

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

Sort By:
Pageof 1
IEEE Transactions on Pattern Analysis and Machine Intelligence|October 27, 2006
Fast agglomerative clustering using a k-nearest neighbor graphPasi Fränti, Olli Virmajoki, Ville Hautamäki
Plos One|February 6, 2024
Inferring personal intake recommendations of phosphorous and potassium for end-stage renal failure patients by simulating with Bayesian hierarchical multivariate modelJari Turkia, Ursula Schwab, Ville Hautamäki
Statistics in Medicine|March 3, 2026
Personalized Nutrition Recommendations Using a Bayesian Mixture Model of Concentration Constraints and Intake PreferencesJari Turkia, Ursula Schwab, Ville Hautamäki
The Journal of the Acoustical Society of America|August 3, 2019
On the limits of automatic speaker verification: Explaining degraded recognizer scores through acoustic changes resulting from voice disguiseRosa González Hautamäki, Ville Hautamäki, Tomi Kinnunen
Scientific Reports|June 9, 2021
Mixed-effect Bayesian network reveals personal effects of nutritionJari Turkia, Lauri Mehtätalo, Ursula Schwab, et al.
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|December 4, 2019
Semisupervised Generative Autoencoder for Single-Cell DataTrung Ngo Trong, Juha Mehtonen, Gerardo González, et al.
Nucleic Acids Research|July 23, 2019
Data-driven characterization of molecular phenotypes across heterogeneous sample collectionsJuha Mehtonen, Petri Pölönen, Sergei Häyrynen, et al.
Cancer Research|April 4, 2019
Hemap: An Interactive Online Resource for Characterizing Molecular Phenotypes across Hematologic MalignanciesPetri Pölönen, Juha Mehtonen, Jake Lin, et al.
Pageof 1