Classifying emotions and engagement in online learning based on a single facial expression recognition neural network AV Savchenko, LV Savchenko, I Makarov IEEE Transactions on Affective Computing 13 (4), 2132-2143, 2022 | 155 | 2022 |
Survey on graph embeddings and their applications to machine learning problems on graphs I Makarov, D Kiselev, N Nikitinsky, L Subelj PeerJ Computer Science, 2021 | 94 | 2021 |
Predicting Winning Team and Probabilistic Ratings in “Dota 2” and “Counter-Strike: Global Offensive” Video Games I Makarov, D Savostyanov, B Litvyakov, DI Ignatov International Conference on Analysis of Images, Social Networks and Texts …, 2017 | 78 | 2017 |
Fault detection in Tennessee Eastman process with temporal deep learning models I Lomov, M Lyubimov, I Makarov, LE Zhukov Journal of Industrial Information Integration, 100216, 2021 | 64 | 2021 |
Co-author recommender system I Makarov, O Bulanov, LE Zhukov Models, Algorithms, and Technologies for Network Analysis: NET 2016, Nizhny …, 2017 | 37 | 2017 |
Dual network embedding for representing research interests in the link prediction problem on co-authorship networks I Makarov, O Gerasimova, P Sulimov, LE Zhukov PeerJ Computer Science 5, e172, 2019 | 31 | 2019 |
Semi-dense depth interpolation using deep convolutional neural networks I Makarov, V Aliev, O Gerasimova Proceedings of the 25th ACM international conference on Multimedia, 1407-1415, 2017 | 31 | 2017 |
Temporal network embedding framework with causal anonymous walks representations I Makarov, A Savchenko, A Korovko, L Sherstyuk, N Severin, D Kiselev, ... PeerJ Computer Science 8, e858, 2022 | 30* | 2022 |
Fast Depth Map Super-Resolution Using Deep Neural Network A Korinevskaya, I Makarov 2018 IEEE International Symposium on Mixed and Augmented Reality Adjunct …, 2018 | 29 | 2018 |
Depth Map Interpolation Using Perceptual Loss I Makarov, V Aliev, O Gerasimova, P Polyakov 2017 IEEE International Symposium on Mixed and Augmented Reality (ISMAR …, 2017 | 29 | 2017 |
Fusion of text and graph information for machine learning problems on networks I Makarov, M Makarov, D Kiselev PeerJ Computer Science 7, e526, 2021 | 28 | 2021 |
Deep Reinforcement Learning in Match-3 Game I Kamaldinov, I Makarov 2019 IEEE Conference on Games (CoG), 1-4, 2019 | 26 | 2019 |
Scientific Matchmaker: Collaborator Recommender System I Makarov, O Bulanov, O Gerasimova, N Meshcheryakova, I Karpov, ... International Conference on Analysis of Images, Social Networks and Texts …, 2017 | 26 | 2017 |
Self-supervised recurrent depth estimation with attention mechanisms I Makarov, M Bakhanova, S Nikolenko, O Gerasimova PeerJ Computer Science 8, e865, 2022 | 25 | 2022 |
JONNEE: Joint Network Nodes and Edges Embedding I Makarov, K Korovina, D Kiselev IEEE Access 9, 144646-144659, 2021 | 25 | 2021 |
Joint node-edge network embedding for link prediction I Makarov, O Gerasimova, P Sulimov, K Korovina, LE Zhukov Analysis of Images, Social Networks and Texts: 7th International Conference …, 2018 | 25 | 2018 |
Online supervised attention-based recurrent depth estimation from monocular video D Maslov, I Makarov PeerJ Computer Science 6, e317, 2020 | 24 | 2020 |
Predicting Collaborations in Co-authorship Network I Makarov, O Gerasimova 2019 14th International Workshop on Semantic and Social Media Adaptation and …, 2019 | 24 | 2019 |
Link prediction regression for weighted co-authorship networks I Makarov, O Gerasimova Advances in Computational Intelligence: 15th International Work-Conference …, 2019 | 23 | 2019 |
Co-authorship network embedding and recommending collaborators via network embedding I Makarov, O Gerasimova, P Sulimov, LE Zhukov Analysis of Images, Social Networks and Texts: 7th International Conference …, 2018 | 23 | 2018 |