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Ilya Makarov

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

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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.
Journal of Neural Engineering|September 8, 2023
Real-time low latency estimation of brain rhythms with deep neural networksIlia Semenkov, Nikita Fedosov, Ilya Makarov, 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.
Scientific Data|January 21, 2026
A dataset of real-world oscillograms from electrical power gridsAleksey Evdakov, Galina Filatova, Andrey Yablokov, 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 8) 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.
Journal of Neural Engineering|September 8, 2023
Real-time low latency estimation of brain rhythms with deep neural networksIlia Semenkov, Nikita Fedosov, Ilya Makarov, 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.
Scientific Data|January 21, 2026
A dataset of real-world oscillograms from electrical power gridsAleksey Evdakov, Galina Filatova, Andrey Yablokov, 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