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

Ubbo Visser

Showing results (1-10 of 18) with videos related to

Pageof 2
Sort By:
Methods in Molecular Biology (Clifton, N.J.)|March 9, 2019
How to Develop a Drug Target Ontology: KNowledge Acquisition and Representation Methodology (KNARM)Hande Küçük McGinty, Ubbo Visser, Stephan Schürer
Journal of Medical Internet Research|September 29, 2021
Development, Feasibility, Acceptability, and Utility of an Expressive Speech-Enabled Digital Health Agent to Deliver Online, Brief Motivational Interviewing for Alcohol Misuse: Descriptive StudyMaya Boustani, Stephanie Lunn, Ubbo Visser, et al.
Neural Regeneration Research|September 11, 2014
Facilitating transparency in spinal cord injury studies using data standards and ontologiesVance P Lemmon, Saminda Abeyruwan, Ubbo Visser, et al.
Proceedings of the ... International World-Wide Web Conference. International WWW Conference|April 7, 2015
Optimizing the Most Specific Concept Method for Efficient Instance CheckingJia Xu, Patrick Shironoshita, Ubbo Visser, et al.
International Journal of Intelligence Science|November 24, 2015
Converting Instance Checking to Subsumption: A Rethink for Object Queries over Practical OntologiesJia Xu, Patrick Shironoshita, Ubbo Visser, et al.
Artificial Intelligence and Applications (Commerce, Calif.)|February 6, 2016
Module Extraction for Efficient Object Queries over Ontologies with Large ABoxesJia Xu, Patrick Shironoshita, Ubbo Visser, et al.
BMC Bioinformatics|June 28, 2011
BioAssay Ontology (BAO): a semantic description of bioassays and high-throughput screening resultsUbbo Visser, Saminda Abeyruwan, Uma Vempati, et al.
Peerj|August 29, 2014
Fast and accurate semantic annotation of bioassays exploiting a hybrid of machine learning and user confirmationAlex M Clark, Barry A Bunin, Nadia K Litterman, et al.
Urology|February 3, 2023
The Development of an Artificial Intelligence Model Based Solely on Computer Tomography Successfully Predicts Which Patients Will Pass Obstructing Ureteral CalculiJonathan E Katz, Leila Abdelrahman, Sirpi Nackeeran, et al.
Plos One|November 17, 2012
Formalization, annotation and analysis of diverse drug and probe screening assay datasets using the BioAssay Ontology (BAO)Uma D Vempati, Magdalena J Przydzial, Caty Chung, et al.
Pageof 2

Showing results (1-10 of 18) with videos related to

Sort By:
Pageof 2
Methods in Molecular Biology (Clifton, N.J.)|March 9, 2019
How to Develop a Drug Target Ontology: KNowledge Acquisition and Representation Methodology (KNARM)Hande Küçük McGinty, Ubbo Visser, Stephan Schürer
Journal of Medical Internet Research|September 29, 2021
Development, Feasibility, Acceptability, and Utility of an Expressive Speech-Enabled Digital Health Agent to Deliver Online, Brief Motivational Interviewing for Alcohol Misuse: Descriptive StudyMaya Boustani, Stephanie Lunn, Ubbo Visser, et al.
Neural Regeneration Research|September 11, 2014
Facilitating transparency in spinal cord injury studies using data standards and ontologiesVance P Lemmon, Saminda Abeyruwan, Ubbo Visser, et al.
Proceedings of the ... International World-Wide Web Conference. International WWW Conference|April 7, 2015
Optimizing the Most Specific Concept Method for Efficient Instance CheckingJia Xu, Patrick Shironoshita, Ubbo Visser, et al.
International Journal of Intelligence Science|November 24, 2015
Converting Instance Checking to Subsumption: A Rethink for Object Queries over Practical OntologiesJia Xu, Patrick Shironoshita, Ubbo Visser, et al.
Artificial Intelligence and Applications (Commerce, Calif.)|February 6, 2016
Module Extraction for Efficient Object Queries over Ontologies with Large ABoxesJia Xu, Patrick Shironoshita, Ubbo Visser, et al.
BMC Bioinformatics|June 28, 2011
BioAssay Ontology (BAO): a semantic description of bioassays and high-throughput screening resultsUbbo Visser, Saminda Abeyruwan, Uma Vempati, et al.
Peerj|August 29, 2014
Fast and accurate semantic annotation of bioassays exploiting a hybrid of machine learning and user confirmationAlex M Clark, Barry A Bunin, Nadia K Litterman, et al.
Urology|February 3, 2023
The Development of an Artificial Intelligence Model Based Solely on Computer Tomography Successfully Predicts Which Patients Will Pass Obstructing Ureteral CalculiJonathan E Katz, Leila Abdelrahman, Sirpi Nackeeran, et al.
Plos One|November 17, 2012
Formalization, annotation and analysis of diverse drug and probe screening assay datasets using the BioAssay Ontology (BAO)Uma D Vempati, Magdalena J Przydzial, Caty Chung, et al.
Pageof 2