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

Luigi Di Biasi

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

Pageof 1
Sort By:
Journal of Medical Internet Research|July 6, 2021
Evaluating Epidemiological Risk by Using Open Contact Tracing Data: Correlational StudyStefano Piotto, Luigi Di Biasi, Francesco Marrafino, et al.
BMC Bioinformatics|April 25, 2022
SNARER: new molecular descriptors for SNARE proteins classificationAlessia Auriemma Citarella, Luigi Di Biasi, Michele Risi, et al.
IEEE Journal of Biomedical and Health Informatics|September 20, 2021
A Cloud Approach for Melanoma Detection Based on Deep Learning NetworksLuigi Di Biasi, Alessia Auriemma Citarella, Michele Risi, et al.
BMC Bioinformatics|December 1, 2022
ENTAIL: yEt aNoTher amyloid fIbrils cLassifierAlessia Auriemma Citarella, Luigi Di Biasi, Fabiola De Marco, et al.
Bioinformatics (Oxford, England)|August 23, 2022
YAMACS: a graphical interface for GROMACSArkadeep Sarkar, Jacopo Santoro, Luigi Di Biasi, et al.
Bioinformation|February 12, 2014
GRIMD: distributed computing for chemists and biologistsStefano Piotto, Luigi Di Biasi, Simona Concilio, et al.
IEEE Journal of Biomedical and Health Informatics|March 13, 2026
PROTEAN: An Explainable AI Pipeline for Protein Classification in Support of Precision MedicineLuigi Di Biasi, Fabiola De Marco, Alessia Auriemma Citarella, et al.
BMC Bioinformatics|October 11, 2023
Refactoring and performance analysis of the main CNN architectures: using false negative rate minimization to solve the clinical images melanoma detection problemLuigi Di Biasi, Fabiola De Marco, Alessia Auriemma Citarella, et al.
Pageof 1

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

Sort By:
Pageof 1
Journal of Medical Internet Research|July 6, 2021
Evaluating Epidemiological Risk by Using Open Contact Tracing Data: Correlational StudyStefano Piotto, Luigi Di Biasi, Francesco Marrafino, et al.
BMC Bioinformatics|April 25, 2022
SNARER: new molecular descriptors for SNARE proteins classificationAlessia Auriemma Citarella, Luigi Di Biasi, Michele Risi, et al.
IEEE Journal of Biomedical and Health Informatics|September 20, 2021
A Cloud Approach for Melanoma Detection Based on Deep Learning NetworksLuigi Di Biasi, Alessia Auriemma Citarella, Michele Risi, et al.
BMC Bioinformatics|December 1, 2022
ENTAIL: yEt aNoTher amyloid fIbrils cLassifierAlessia Auriemma Citarella, Luigi Di Biasi, Fabiola De Marco, et al.
Bioinformatics (Oxford, England)|August 23, 2022
YAMACS: a graphical interface for GROMACSArkadeep Sarkar, Jacopo Santoro, Luigi Di Biasi, et al.
Bioinformation|February 12, 2014
GRIMD: distributed computing for chemists and biologistsStefano Piotto, Luigi Di Biasi, Simona Concilio, et al.
IEEE Journal of Biomedical and Health Informatics|March 13, 2026
PROTEAN: An Explainable AI Pipeline for Protein Classification in Support of Precision MedicineLuigi Di Biasi, Fabiola De Marco, Alessia Auriemma Citarella, et al.
BMC Bioinformatics|October 11, 2023
Refactoring and performance analysis of the main CNN architectures: using false negative rate minimization to solve the clinical images melanoma detection problemLuigi Di Biasi, Fabiola De Marco, Alessia Auriemma Citarella, et al.
Pageof 1