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Peerj. Computer Science|June 4, 2021
Fusion of text and graph information for machine learning problems on networksIlya Makarov, Mikhail Makarov, Dmitrii KiselevPeerj. 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|February 17, 2022
Temporal network embedding framework with causal anonymous walks representationsIlya Makarov, Andrey Savchenko, Arseny Korovko, et al.Peerj. Computer Science|April 5, 2021
Online supervised attention-based recurrent depth estimation from monocular videoDmitrii Maslov, Ilya MakarovSensors (Basel, Switzerland)|November 27, 2021
Environmental Monitoring of the Littoral Zone of Lake Baikal Using a Network of Automatic Hydro-Meteorological Stations: Development and Trial RunMikhail Makarov, Ilya Aslamov, Ruslan GnatovskyJournal 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|May 2, 2022
Self-supervised recurrent depth estimation with attention mechanismsIlya Makarov, Maria Bakhanova, Sergey Nikolenko, 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.Journal of the Royal Society, Interface|February 9, 2022
Peptides before and during the nucleotide world: an origins story emphasizing cooperation between proteins and nucleic acidsStephen D Fried, Kosuke Fujishima, Mikhail Makarov, et al.Pageof 3