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 | 151 | 2022 |
Facial expression and attributes recognition based on multi-task learning of lightweight neural networks AV Savchenko 2021 IEEE 19th International Symposium on Intelligent Systems and …, 2021 | 139 | 2021 |
Efficient facial representations for age, gender and identity recognition in organizing photo albums using multi-output ConvNet AV Savchenko PeerJ Computer Science 5, e197, 2019 | 81 | 2019 |
Group-level emotion recognition using transfer learning from face identification A Rassadin, A Gruzdev, A Savchenko Proceedings of the 19th ACM international conference on multimodal …, 2017 | 74 | 2017 |
Sequential three-way decisions in multi-category image recognition with deep features based on distance factor AV Savchenko Information Sciences 489, 18-36, 2019 | 70 | 2019 |
Fast multi-class recognition of piecewise regular objects based on sequential three-way decisions and granular computing AV Savchenko Knowledge-Based Systems 91, 252-262, 2016 | 70 | 2016 |
Video-Based Frame-Level Facial Analysis of Affective Behavior on Mobile Devices Using EfficientNets AV Savchenko Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 62* | 2022 |
Probabilistic neural network with homogeneity testing in recognition of discrete patterns set AV Savchenko Neural Networks 46, 227-241, 2013 | 55 | 2013 |
Directed enumeration method in image recognition AV Savchenko Pattern Recognition 45 (8), 2952-2961, 2012 | 51 | 2012 |
Probabilistic neural network with complex exponential activation functions in image recognition AV Savchenko IEEE transactions on neural networks and learning systems 31 (2), 651-660, 2019 | 49* | 2019 |
Compression of recurrent neural networks for efficient language modeling AM Grachev, DI Ignatov, AV Savchenko Applied Soft Computing 79, 354-362, 2019 | 44 | 2019 |
Maximum-likelihood approximate nearest neighbor method in real-time image recognition AV Savchenko Pattern Recognition 61, 459-469, 2017 | 44 | 2017 |
Search techniques in intelligent classification systems AV Savchenko Springer, 2016 | 39 | 2016 |
Fast inference in convolutional neural networks based on sequential three-way decisions AV Savchenko Information Sciences 560, 370-385, 2021 | 38 | 2021 |
Neural networks compression for language modeling AM Grachev, DI Ignatov, AV Savchenko International Conference on Pattern Recognition and Machine Intelligence …, 2017 | 36 | 2017 |
Методы решения задач естествознания ЛЮ Катаева, МБ Крайзлер, АВ Савченко федеральное государственное бюджетное образовательное учреждение высшего …, 2007 | 36 | 2007 |
Maximum-likelihood dissimilarities in image recognition with deep neural networks AV Savchenko Computer Optics 41 (3), 422-430, 2017 | 33 | 2017 |
Принцип минимального информационного рассогласования в задаче распознавания дискретных объектов ВВ Савченко, АВ Савченко Известия высших учебных заведений России. Радиоэлектроника, 10-18, 2005 | 33 | 2005 |
Towards the creation of reliable voice control system based on a fuzzy approach AV Savchenko, LV Savchenko Pattern Recognition Letters 65, 145-151, 2015 | 32 | 2015 |
Statistical testing of segment homogeneity in classification of piecewise-regular objects AV Savchenko, NS Belova International Journal of Applied Mathematics and Computer Science 25 (4 …, 2015 | 32 | 2015 |