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

Nada Lavrač

Showing results (1-10 of 17) with videos related to

Pageof 2
Sort By:
Frontiers in Research Metrics and Analytics|April 30, 2021
PubMed-Scale Chemical Concept Embeddings Reconstruct Physical Protein Interaction NetworksBlaž Škrlj, Enja Kokalj, Nada Lavrač
Machine Learning|November 16, 2020
Embedding-based Silhouette community detectionBlaž Škrlj, Jan Kralj, Nada Lavrač
Machine Learning|July 25, 2020
Propositionalization and embeddings: two sides of the same coinNada Lavrač, Blaž Škrlj, Marko Robnik-Šikonja
Biomedical Engineering Online|July 26, 2016
Homogeneous clusters of Alzheimer's disease patient populationDragan Gamberger, Bernard Ženko, Alexis Mitelpunkt, et al.
Machine Learning|November 1, 2021
autoBOT: evolving neuro-symbolic representations for explainable low resource text classificationBlaž Škrlj, Matej Martinc, Nada Lavrač, et al.
Brain Informatics|August 16, 2016
Clusters of male and female Alzheimer's disease patients in the Alzheimer's Disease Neuroimaging Initiative (ADNI) databaseDragan Gamberger, Bernard Ženko, Alexis Mitelpunkt, et al.
Bioinformatics (Oxford, England)|September 2, 2020
CaNDis: a web server for investigation of causal relationships between diseases, drugs and drug targetsBlaž Škrlj, Nika Eržen, Nada Lavrač, et al.
Bioinformatics (Oxford, England)|June 25, 2019
Interactive exploration of heterogeneous biological networks with Biomine ExplorerVid Podpečan, Živa Ramšak, Kristina Gruden, et al.
Scientific Reports|July 30, 2017
Identification of clusters of rapid and slow decliners among subjects at risk for Alzheimer's diseaseDragan Gamberger, Nada Lavrač, Shantanu Srivatsa, et al.
Artificial Intelligence in Medicine|May 28, 2018
Symptoms and medications change patterns for Parkinson's disease patients stratificationAnita Valmarska, Dragana Miljkovic, Spiros Konitsiotis, et al.
Pageof 2

Showing results (1-10 of 17) with videos related to

Sort By:
Pageof 2
Frontiers in Research Metrics and Analytics|April 30, 2021
PubMed-Scale Chemical Concept Embeddings Reconstruct Physical Protein Interaction NetworksBlaž Škrlj, Enja Kokalj, Nada Lavrač
Machine Learning|November 16, 2020
Embedding-based Silhouette community detectionBlaž Škrlj, Jan Kralj, Nada Lavrač
Machine Learning|July 25, 2020
Propositionalization and embeddings: two sides of the same coinNada Lavrač, Blaž Škrlj, Marko Robnik-Šikonja
Biomedical Engineering Online|July 26, 2016
Homogeneous clusters of Alzheimer's disease patient populationDragan Gamberger, Bernard Ženko, Alexis Mitelpunkt, et al.
Machine Learning|November 1, 2021
autoBOT: evolving neuro-symbolic representations for explainable low resource text classificationBlaž Škrlj, Matej Martinc, Nada Lavrač, et al.
Brain Informatics|August 16, 2016
Clusters of male and female Alzheimer's disease patients in the Alzheimer's Disease Neuroimaging Initiative (ADNI) databaseDragan Gamberger, Bernard Ženko, Alexis Mitelpunkt, et al.
Bioinformatics (Oxford, England)|September 2, 2020
CaNDis: a web server for investigation of causal relationships between diseases, drugs and drug targetsBlaž Škrlj, Nika Eržen, Nada Lavrač, et al.
Bioinformatics (Oxford, England)|June 25, 2019
Interactive exploration of heterogeneous biological networks with Biomine ExplorerVid Podpečan, Živa Ramšak, Kristina Gruden, et al.
Scientific Reports|July 30, 2017
Identification of clusters of rapid and slow decliners among subjects at risk for Alzheimer's diseaseDragan Gamberger, Nada Lavrač, Shantanu Srivatsa, et al.
Artificial Intelligence in Medicine|May 28, 2018
Symptoms and medications change patterns for Parkinson's disease patients stratificationAnita Valmarska, Dragana Miljkovic, Spiros Konitsiotis, et al.
Pageof 2