Toropov A., Samarin A., Egorova O. Self-Attention Based Approach to Iris Segmentation. 2025 International Russian Smart Industry Conference (SmartIndustryCon). 2025.
Toropov A., Samarin A., Savelev A., Nazarenko A., Котенко Е., Дозорцева А., Мотыко А., Mikhailova E., Egorova O., Malykh V. Specialized Image Descriptors Adaptation for Diplococci Recognition in Microscopic Images. Advancements in Signal, Image and Video Processing: Select Proceedings of SPIN 2025, Volume 1. 2025.
Samarin A., Savelev A., Toropov A., Dzestelova A., Motyko A., Kotenko E., Mikhailova E., Malykh V. Modified Attention Block for Detecting Cars at a Great Distance. Studies in Computational Intelligence. 2025. No. 1179. pp. 133-146.
Samarin A., Savelev A., Dozortseva A. Automation of Diplococci Recognition in Microscope Images. 2024 International Russian Automation Conference (RusAutoCon). 2024. pp. 558-564.
Samarin A., Savelev A., Toropov A., Nazarenko A., Motyko A., Kotenko E., Dozorceva A., Dzestelova A., Mikhailova E., Malykh V. Streptococci Recognition in Microscope Images Using Taxonomy-based Visual Features. Optical Memory and Neural Networks (Information Optics). 2024. Vol. 33. No. Suppl.3. pp. S424–S434.
Samarin A., Toropov A., Dzestelova A., Nazarenko A., Kotenko E., Mikhailova E., Malykh V., Savelev A., Motyko A., Dozortseva A. AutoML Applications for Bacilli Recognition by Taxonomic Characteristics Determination over Microscopic Images. Proceedings of the 36th Conference of Open Innovations Association FRUCT. 2024. pp. 903-911.
Samarin A., Mamaeva A., Toropov A., Dzestelova A., Kotenko E., Nazarenko A., Mikhailova E., Malykh V., Savelev A., Motyko A. Wind Turbines Surface Damage Automatic Detection Using YOLOv8 with Specialized Backbone Modification. Proceedings of the 36th Conference of Open Innovations Association FRUCT. 2024. pp. 702-710.
Samarin A., Savelev A., Toropov A. Symmetry-Localized Non-Local Blocks for Polyp Recognition and Segmentation on Endoscopic Images. 2024 International Russian Automation Conference (RusAutoCon). 2024. pp. 331-337.
Samarin A., Nazarenko A., Savelev A., Toropov A., Dzestelova A., Mikhailova E., Motyko A., Malykh V. A Model Based on Universal Filters for Image Color Correction. Pattern Recognition and Image Analysis (Advances in Mathematical Theory and Applications). 2024. Vol. 34. No. 3. pp. 844-854.
Samarin A., Savelev A., Toropov A., Nazarenko A., Golovatiuk A., Dmitriev P., Dzestelova A., Mikhailova E., Motyko A., Malykh V. Segmentation of the Iris and Pupil of the Human Eye in Images from an Infrared Camera. Pattern Recognition and Image Analysis (Advances in Mathematical Theory and Applications). 2024. Vol. 34. No. 3. pp. 855-862.
Samarin A., Toropov A., Dzestelova A., Nazarenko A., Kotenko E., Mikhailova E., Savelev A., Motyko A. Specialized Non-local Blocks for Recognizing Tumors on Computed Tomography Snapshots of Human Lungs. Proceedings of the 35th Conference of Open Innovations Association FRUCT. 2024. pp. 659-664.
Samarin A., Nazarenko A., Toropov A., Kotenko E., Dzestelova A., Mikhailova E., Malykh V., Savelev A., Motyko A. Universal Filter-Based Lightweight Image Enhancement Model with Unpaired Learning Mode. Proceedings of the 36th Conference of Open Innovations Association FRUCT. 2024. pp. 711-720.
Ореховский И.А. ПРОГНОЗИРОВАНИЕ ПОВЕДЕНЧЕСКИХ ПАТТЕРНОВ НА ОСНОВЕ НЕЙРОФИЗИОЛОГИЧЕСКИХ ДАННЫХ. Сборник научных трудов МОЛОДЫЕ ПРОФЕССИОНАЛЫ III Международная конференция 08–10 октября 2024 г.. 2024. С. 119-122.
Samarin A., Savelev A., Toropov A., Dzestelova A., Malykh V., Mikhailova E., Motyko A. The Complete Study of the Movement Strategies of Trained Agents for Visual Descriptors of Advertising Signs. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2023. Vol. 13644. pp. 571-585.
Samarin A., Toropov A., Savelev A., Dzestelova A., Malykh V., Mikhailova E., Motyko A. Predictors Based on Convolutional Neural Networks for the Movement Strategy of Trainable Agents for Building Customized Image Descriptors. Pattern Recognition and Image Analysis (Advances in Mathematical Theory and Applications). 2023. Vol. 33. No. 2. pp. 139-146.
Samarin A., Savelev A., Toropov A., Dzestelova A., Malykh V., Mikhailova E., Motyko A. One-Stage Classifiers Based on U-Net and Autoencoder with Attention for Recognition of Neoplasms from Single-Channel Monochrome Computed Tomography Images. Pattern Recognition and Image Analysis (Advances in Mathematical Theory and Applications). 2023. Vol. 33. No. 2. pp. 132-138.
Samarin A., Savelev A., Toropov A., Dzestelova A., Malykh V., Mikhailova E., Motyko A. Prior Segmentation and Attention Based Approach to Neoplasms Recognition by Single-Channel Monochrome Computer Tomography Snapshots. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2023. Vol. 13644. pp. 561-570.
Samarin A., Savelev A., Toropov A., Dzestelova A., Malykh V., Mikhailova E., Motyko A. Trainable agents movement strategies for advertising sign visual descriptors. Pattern Recognition and Image Analysis (Advances in Mathematical Theory and Applications). 2022. Т. 32. № 3. С. 651-657.
Samarin A., Savelev A., Toropov A., Dzestelova A., Malykh V., Mikhailova E., Motyko A. One-staged attention-based neoplasms recognition method for single-channel monochrome Computer Tomography snapshots. Pattern Recognition and Image Analysis (Advances in Mathematical Theory and Applications). 2022. Vol. 32. No. 3. pp. 645-650.
Samarin A., Malykh V. Ensemble-Based Commercial Buildings Facades Photographs Classifier. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2021. Vol. 12602. pp. 257-265.
Tatanov O., Samarin A. LFIEM: Lightweight Filter-based Image Enhancement Model. 25th International Conference on Pattern Recognition, ICPR 2020. 2021. pp. 873-878.
Самарин А.В., Малых В.А., Калайдин П.С. Метод верификации изображений удостоверений личности по ограниченному фрагменту изображения. Труды Института системного анализа Российской Академии Наук. 2020. Т. 70. № 1. С. 15-23.
Samarin A.V., Savelev A.G., Malykh V.A. Two-Staged Self-Attention Based Neural Model For Lung Cancer Recognition. Science and Artificial Intelligence Conference, S.A.I.ence 2020. 2020. pp. 50-53.
Samarin A., Malykh V. Worm-like image descriptor for signboard classification. CEUR Workshop Proceedings. 2020. Vol. 2691. pp. 30-33.
Samarin A.V., Malykh V.A., Muravyov S.B. Specialized image descriptors for signboard photographs classification. Communications in Computer and Information Science. 2020. Vol. 1243. pp. 122-129.
Malykh V., Samarin A. Combined Advertising Sign Classifier. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2019. Vol. 11832. pp. 179-185.
Российская Федерация, Санкт-Петербург