| Low-power computer vision: Status, challenges, and opportunities S Alyamkin, M Ardi, AC Berg, A Brighton, B Chen, Y Chen, HP Cheng, ... IEEE Journal on Emerging and Selected Topics in Circuits and Systems 9 (2 …, 2019 | 83 | 2019 |
| Pedestrian detection algorithms based on an analysis of the autocorrelation function of a seismic signal SA Alyamkin, SI Eremenko Optoelectronics, Instrumentation and Data Processing 47, 124-129, 2011 | 19 | 2011 |
| 2018 low-power image recognition challenge S Alyamkin, M Ardi, A Brighton, AC Berg, Y Chen, HP Cheng, B Chen, ... arXiv preprint arXiv:1810.01732, 2018 | 17 | 2018 |
| Trainable thresholds for neural network quantization A Goncharenko, A Denisov, S Alyamkin, E Terentev Advances in Computational Intelligence: 15th International Work-Conference …, 2019 | 15 | 2019 |
| Fast adjustable threshold for uniform neural network quantization A Goncharenko, A Denisov, S Alyamkin Low-Power Computer Vision, 111-126, 2022 | 13 | 2022 |
| The first-break detection for real seismic data with use of convolutional neural network G Loginov, D Anton, D Litvichenko, S Alyamkin 81st EAGE Conference and Exhibition 2019 2019 (1), 1-5, 2019 | 13 | 2019 |
| Age recognition from facial images using convolutional neural networks DV Pakulich, SA Yakimov, SA Alyamkin Optoelectronics, Instrumentation and Data Processing 55, 255-262, 2019 | 9 | 2019 |
| Margindistillation: distillation for margin-based softmax D Svitov, S Alyamkin arXiv preprint arXiv:2003.02586, 2020 | 7 | 2020 |
| Восстановление траектории движущегося объекта в сейсмической системе обнаружения при ограниченном количестве датчиков СА Алямкин, ЕС Нежевенко Автоматика и телемеханика, 31-39, 2014 | 6 | 2014 |
| Алгоритм распознавания пешехода на основе анализа автокорреляционной функции сейсмического сигнала СА Алямкин, СИ Еременко Автометрия 47 (2), 26-32, 2011 | 6 | 2011 |
| Пример применения сверточных нейронных сетей в обработке реальных данных 3D сейсморазведки ГН Логинов, АА Дучков, ДА Литвиченко, СА Алямкин Интерэкспо Гео-Сибирь 2 (3), 147-153, 2019 | 5 | 2019 |
| Reconstructing the trajectory of a moving object in a seismic detection system with a limited number of sensors SA Alyamkin, ES Nezhevenko Automation and Remote Control 75, 200-207, 2014 | 5 | 2014 |
| Comparative analysis of the efficiency of the Kalman filter and particle filter in solving the problem of object tracking in a seismic security system SA Alyamkin, ES Nezhevenko Optoelectronics, Instrumentation and Data Processing 50, 54-60, 2014 | 5 | 2014 |
| Convolution neural network application for first‐break picking for land seismic data GN Loginov, AA Duchkov, DA Litvichenko, SA Alyamkin Geophysical Prospecting 70 (7), 1093-1115, 2022 | 4 | 2022 |
| Big Data-Driven Advanced Analytics: Application of Convolutional and Deep Neural Networks for GPU Based Seismic Interpretations S Haroon, S Alyamkin, R Shenoy Abu Dhabi International Petroleum Exhibition and Conference, D021S035R003, 2018 | 3 | 2018 |
| Сравнительный анализ эффективностей фильтра Калмана и фильтра частиц при решении задачи сопровождения объекта в сейсмической системе обнаружения СА Алямкин, ЕС Нежевенко Автометрия 50 (1), 66-73, 2014 | 3 | 2014 |
| Tracking of several objects in a seismic detector SA Alyamkin, ES Nezhevenko Optoelectronics, Instrumentation and Data Processing 49, 148-154, 2013 | 3 | 2013 |
| Сопровождение нескольких объектов в сейсмической системе обнаружения СА Алямкин, ЕС Нежевенко Автометрия 49 (2), 49-56, 2013 | 3 | 2013 |
| Iterative adaptation to quantization noise D Chudakov, S Alyamkin, A Goncharenko, A Denisov Advances in Computational Intelligence: 16th International Work-Conference …, 2021 | 2 | 2021 |
| The Comparison of Convolution Neural Networkы for Localized Capturing Detection of Faults on Seismic Images A Lapteva, G Loginov, A Duchkov, S Alyamkin 81st EAGE Conference and Exhibition 2019 2019 (1), 1-5, 2019 | 2 | 2019 |
