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

Alessandro Verri

Showing results (11-20 of 28) with videos related to

Pageof 3
Sort By:
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|May 13, 2009
A regularized method for selecting nested groups of relevant genes from microarray dataChristine De Mol, Sofia Mosci, Magali Traskine, et al.
Elife|July 21, 2025
Q-learning with temporal memory to navigate turbulenceMarco Rando, Martin James, Alessandro Verri, et al.
Arxiv|May 7, 2024
Q-learning with temporal memory to navigate turbulenceMarco Rando, Martin James, Alessandro Verri, et al.
Neural Computation|April 9, 2004
Are loss functions all the same?Lorenzo Rosasco, Ernesto De Vito, Andrea Caponnetto, et al.
BMC Medical Genomics|September 12, 2015
Genome instability model of metastatic neuroblastoma tumorigenesis by a dictionary learning algorithmSalvatore Masecchia, Simona Coco, Annalisa Barla, et al.
BMC Genomics|October 17, 2009
The l1-l2 regularization framework unmasks the hypoxia signature hidden in the transcriptome of a set of heterogeneous neuroblastoma cell linesPaolo Fardin, Annalisa Barla, Sofia Mosci, et al.
IEEE Journal of Biomedical and Health Informatics|August 11, 2025
Daily Living Activity Dataset of Juvenile Rheumatic Patients From Wearables DataAndrea Fasciglione, Maurizio Leotta, Alessandro Verri, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
A machine learning pipeline for multiple sclerosis course detection from clinical scales and patient reported outcomesSamuele Fiorini, Alessandro Verri, Andrea Tacchino, et al.
Source Code for Biology and Medicine|January 11, 2013
Knowledge Driven Variable Selection (KDVS) - a new approach to enrichment analysis of gene signatures obtained from high-throughput dataGrzegorz Zycinski, Annalisa Barla, Margherita Squillario, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 25, 2017
Data-driven strategies for robust forecast of continuous glucose monitoring time-seriesSamuele Fiorini, Chiara Martini, Davide Malpassi, et al.
Pageof 3

Showing results (11-20 of 28) with videos related to

Sort By:
Pageof 3
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|May 13, 2009
A regularized method for selecting nested groups of relevant genes from microarray dataChristine De Mol, Sofia Mosci, Magali Traskine, et al.
Elife|July 21, 2025
Q-learning with temporal memory to navigate turbulenceMarco Rando, Martin James, Alessandro Verri, et al.
Arxiv|May 7, 2024
Q-learning with temporal memory to navigate turbulenceMarco Rando, Martin James, Alessandro Verri, et al.
Neural Computation|April 9, 2004
Are loss functions all the same?Lorenzo Rosasco, Ernesto De Vito, Andrea Caponnetto, et al.
BMC Medical Genomics|September 12, 2015
Genome instability model of metastatic neuroblastoma tumorigenesis by a dictionary learning algorithmSalvatore Masecchia, Simona Coco, Annalisa Barla, et al.
BMC Genomics|October 17, 2009
The l1-l2 regularization framework unmasks the hypoxia signature hidden in the transcriptome of a set of heterogeneous neuroblastoma cell linesPaolo Fardin, Annalisa Barla, Sofia Mosci, et al.
IEEE Journal of Biomedical and Health Informatics|August 11, 2025
Daily Living Activity Dataset of Juvenile Rheumatic Patients From Wearables DataAndrea Fasciglione, Maurizio Leotta, Alessandro Verri, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
A machine learning pipeline for multiple sclerosis course detection from clinical scales and patient reported outcomesSamuele Fiorini, Alessandro Verri, Andrea Tacchino, et al.
Source Code for Biology and Medicine|January 11, 2013
Knowledge Driven Variable Selection (KDVS) - a new approach to enrichment analysis of gene signatures obtained from high-throughput dataGrzegorz Zycinski, Annalisa Barla, Margherita Squillario, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 25, 2017
Data-driven strategies for robust forecast of continuous glucose monitoring time-seriesSamuele Fiorini, Chiara Martini, Davide Malpassi, et al.
Pageof 3