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

Dmitrii Maslov
Ilya Makarov

PeerJ. Computer science

Showing results (1-10 of 6) with videos related to

Pageof 1
Sort By:
Peerj. Computer Science|April 5, 2021
Online supervised attention-based recurrent depth estimation from monocular videoDmitrii Maslov, Ilya Makarov
Peerj. Computer Science|June 4, 2021
Fusion of text and graph information for machine learning problems on networksIlya Makarov, Mikhail Makarov, Dmitrii Kiselev
Peerj. Computer Science|May 2, 2022
Self-supervised recurrent depth estimation with attention mechanismsIlya Makarov, Maria Bakhanova, Sergey Nikolenko, et al.
Peerj. Computer Science|April 5, 2021
Survey on graph embeddings and their applications to machine learning problems on graphsIlya Makarov, Dmitrii Kiselev, Nikita Nikitinsky, et al.
Peerj. Computer Science|April 5, 2021
Dual network embedding for representing research interests in the link prediction problem on co-authorship networksIlya Makarov, Olga Gerasimova, Pavel Sulimov, et al.
Peerj. Computer Science|February 17, 2022
Temporal network embedding framework with causal anonymous walks representationsIlya Makarov, Andrey Savchenko, Arseny Korovko, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Peerj. Computer Science|April 5, 2021
Online supervised attention-based recurrent depth estimation from monocular videoDmitrii Maslov, Ilya Makarov
Peerj. Computer Science|June 4, 2021
Fusion of text and graph information for machine learning problems on networksIlya Makarov, Mikhail Makarov, Dmitrii Kiselev
Peerj. Computer Science|May 2, 2022
Self-supervised recurrent depth estimation with attention mechanismsIlya Makarov, Maria Bakhanova, Sergey Nikolenko, et al.
Peerj. Computer Science|April 5, 2021
Survey on graph embeddings and their applications to machine learning problems on graphsIlya Makarov, Dmitrii Kiselev, Nikita Nikitinsky, et al.
Peerj. Computer Science|April 5, 2021
Dual network embedding for representing research interests in the link prediction problem on co-authorship networksIlya Makarov, Olga Gerasimova, Pavel Sulimov, et al.
Peerj. Computer Science|February 17, 2022
Temporal network embedding framework with causal anonymous walks representationsIlya Makarov, Andrey Savchenko, Arseny Korovko, et al.
Pageof 1