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. 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., Savelev A., Dozortseva A. Automation of Diplococci Recognition in Microscope Images. 2024 International Russian Automation Conference (RusAutoCon). 2024. pp. 558-564.
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.
Toropov A., Dzestelova A., Samarin A., Savelev A., Мотыко А., Котенко Е., Mikhailova E., Malykh V. Modified Attention Block for Detecting Cars at a Great Distance. Advances in Neural Computation, Machine Learning, and Cognitive Research VIII. 2024. Vol. 8. No. 1. pp. 133-146.
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.
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., 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., 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., 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.
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., 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. 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., 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. 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.
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.
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.
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