Computational Expenditure Reduction in Pseudo-Gradient Image Parameter Estimation. - Alexandr Tashlinskii (International Conference on Computational Science, 2003)

The Study of Improving the Accuracy of Convolutional Neural Networks in Face Recognition Tasks. - Nikita A. Andriyanov; Vitaly Dementiev; Alexandr Tashlinskiy; Konstantin Vasiliev (ICPR Workshops (5), 2020)

Detailed Clustering Based on Gaussian Mixture Models. - Nikita A. Andriyanov; Alexander Tashlinsky; Vitaly Dementiev (IntelliSys (2), 2020)

Deep Markov models of multidimensional random fields. - Nikita A. Andriyanov; Vitaly Dementiev; Alexander Tashlinsky (KES, 2020)

Optimization of the Computer Vision System for the Detection of Moving Objects. - Nikita A. Andriyanov; Vitaly Dementiev; Alexandr Tashlinskiy (ICPR Workshops (2), 2022)

Development and Research of Intellectual Algorithms in Taxi Service Data Processing Based on Machine Learning and Modified K-means Method. - Nikita A. Andriyanov; Vitaly Dementiev; Alexandr Tashlinskiy (KES-IDT, 2022)

Using Machine Learning Methods to Solve Problems of Monitoring the State of Steel Structure Elements. - Maria A. Gaponova; Vitalii Dement'ev; Marat R. Suetin; Aleksandr Tashlinskii (KES-IDT, 2022)