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

Alessio Micheli

Showing results (11-20 of 23) with videos related to

Pageof 3
Sort By:
Plos One|March 18, 2016
Localizing Tortoise Nests by Neural NetworksRoberto Barbuti, Stefano Chessa, Alessio Micheli, et al.
Neural Networks : the Official Journal of the International Neural Network Society|June 20, 2020
A gentle introduction to deep learning for graphsDavide Bacciu, Federico Errica, Alessio Micheli, et al.
Mabs|October 17, 2025
Germline-aware deep learning models and benchmarks for predicting antibody VH-VL pairingSara Joubbi, Enrico D'Arco, Giuseppe Maccari, et al.
BMC Bioinformatics|May 9, 2025
Sensitivity analysis on protein-protein interaction networks through deep graph networksAlessandro Dipalma, Michele Fontanesi, Alessio Micheli, et al.
Scientific Reports|September 15, 2018
A machine learning approach to estimating preterm infants survival: development of the Preterm Infants Survival Assessment (PISA) predictorMarco Podda, Davide Bacciu, Alessio Micheli, et al.
Molecular Informatics|July 28, 2016
QSPR Analysis of Copolymers by Recursive Neural Networks: Prediction of the Glass Transition Temperature of (Meth)acrylic Random CopolymersCarlo Giuseppe Bertinetto, Celia Duce, Alessio Micheli, et al.
Frontiers in Molecular Biosciences|May 17, 2021
A Deep Graph Network-Enhanced Sampling Approach to Efficiently Explore the Space of Reduced Representations of ProteinsFederico Errica, Marco Giulini, Davide Bacciu, et al.
Journal of Molecular Graphics & Modelling|January 20, 2009
Evaluation of hierarchical structured representations for QSPR studies of small molecules and polymers by recursive neural networksCarlo Bertinetto, Celia Duce, Alessio Micheli, et al.
Briefings in Bioinformatics|July 3, 2024
Antibody design using deep learning: from sequence and structure design to affinity maturationSara Joubbi, Alessio Micheli, Paolo Milazzo, et al.
Journal of Chemical Information and Modeling|September 26, 2006
Predicting physical-chemical properties of compounds from molecular structures by recursive neural networksLuca Bernazzani, Celia Duce, Alessio Micheli, et al.
Pageof 3

Showing results (11-20 of 23) with videos related to

Sort By:
Pageof 3
Plos One|March 18, 2016
Localizing Tortoise Nests by Neural NetworksRoberto Barbuti, Stefano Chessa, Alessio Micheli, et al.
Neural Networks : the Official Journal of the International Neural Network Society|June 20, 2020
A gentle introduction to deep learning for graphsDavide Bacciu, Federico Errica, Alessio Micheli, et al.
Mabs|October 17, 2025
Germline-aware deep learning models and benchmarks for predicting antibody VH-VL pairingSara Joubbi, Enrico D'Arco, Giuseppe Maccari, et al.
BMC Bioinformatics|May 9, 2025
Sensitivity analysis on protein-protein interaction networks through deep graph networksAlessandro Dipalma, Michele Fontanesi, Alessio Micheli, et al.
Scientific Reports|September 15, 2018
A machine learning approach to estimating preterm infants survival: development of the Preterm Infants Survival Assessment (PISA) predictorMarco Podda, Davide Bacciu, Alessio Micheli, et al.
Molecular Informatics|July 28, 2016
QSPR Analysis of Copolymers by Recursive Neural Networks: Prediction of the Glass Transition Temperature of (Meth)acrylic Random CopolymersCarlo Giuseppe Bertinetto, Celia Duce, Alessio Micheli, et al.
Frontiers in Molecular Biosciences|May 17, 2021
A Deep Graph Network-Enhanced Sampling Approach to Efficiently Explore the Space of Reduced Representations of ProteinsFederico Errica, Marco Giulini, Davide Bacciu, et al.
Journal of Molecular Graphics & Modelling|January 20, 2009
Evaluation of hierarchical structured representations for QSPR studies of small molecules and polymers by recursive neural networksCarlo Bertinetto, Celia Duce, Alessio Micheli, et al.
Briefings in Bioinformatics|July 3, 2024
Antibody design using deep learning: from sequence and structure design to affinity maturationSara Joubbi, Alessio Micheli, Paolo Milazzo, et al.
Journal of Chemical Information and Modeling|September 26, 2006
Predicting physical-chemical properties of compounds from molecular structures by recursive neural networksLuca Bernazzani, Celia Duce, Alessio Micheli, et al.
Pageof 3