| Pollen grain recognition using convolutional neural network. N Khanzhina, E Putin, A Filchenkov, E Zamyatina ESANN, 2018 | 39 | 2018 |
| Combating data incompetence in pollen images detection and classification for pollinosis prevention N Khanzhina, A Filchenkov, N Minaeva, L Novoselova, M Petukhov, ... Computers in Biology and Medicine 140, 105064, 2022 | 10 | 2022 |
| Pollen recognition for allergy and asthma management using gist features N Khanzhina, E Putin Digital Transformation and Global Society: First International Conference …, 2016 | 8 | 2016 |
| Regularization of autoencoders for bank client profiling based on financial transactions A Filchenkov, N Khanzhina, A Tsai, I Smetannikov Risks 9 (3), 54, 2021 | 6 | 2021 |
| On realistic generation of new format license plate on vehicle images A Maltsev, R Lebedev, N Khanzhina Procedia Computer Science 193, 190-199, 2021 | 4 | 2021 |
| CT images GAN-based augmentation with AdaIN for lung nodules detection M Kryuchkov, N Khanzhina, I Osmakov, P Ulyanov Thirteenth International Conference on Machine Vision 11605, 628-635, 2021 | 3 | 2021 |
| Monte Carlo concrete DropPath for epistemic uncertainty estimation in brain tumor segmentation N Khanzhina, M Kashirin, A Filchenkov Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and …, 2021 | 3 | 2021 |
| New bayesian focal loss targeting aleatoric uncertainty estimate: Pollen image recognition N Khanzhina, M Kashirin, A Filchenkov Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 2 | 2023 |
| Towards robust object detection: Bayesian retinanet for homoscedastic aleatoric uncertainty modeling N Khanzhina, A Lapenok, A Filchenkov arXiv preprint arXiv:2108.00784, 2021 | 2 | 2021 |
| Использование классических методов и нейронных сетей для распознавания пыльцевых зерен НЕ Ханжина, ЕБ Замятина Вестник Пермского университета. Серия: Математика. Механика. Информатика …, 2014 | 2 | 2014 |
| Автоматизированное распознавание пыльцевых зерен с использованием нейронных сетей Хэмминга НЕ Ханжина, ЕБ Замятина Методы компьютерной диагностики в биологии и медицине: матер. Всерос. школы …, 2014 | 2 | 2014 |
| Improving Multimodal Data Labeling with Deep Active Learning for Post Classification in Social Networks D Krylov, S Poliakov, N Khanzhina, A Zabashta, A Filchenkov, A Farseev Multimedia Understanding with Less Labeling on Multimedia Understanding with …, 2021 | 1 | 2021 |
| Bayesian losses for homoscedastic aleatoric uncertainty modeling in pollen image detection NE Khanzhina Journal Scientific and Technical Of Information Technologies, Mechanics and …, 2021 | 1 | 2021 |
| Comparative Evaluation of Lung Cancer CT Image Synthesis with Generative Adversarial Networks A Semiletov, A Vatian, M Krychkov, N Khanzhina, A Klochkov, ... International Conference on Computational Science, 593-608, 2021 | 1 | 2021 |
| Monte Carlo Concrete DropPath for epistemic uncertainty estimation in pollen images classification NE Khanzhina Journal Scientific and Technical Of Information Technologies, Mechanics and …, 2021 | | 2021 |
| Интеллектуальная поддержка принятия решений для предупреждения поллинозов на основе автоматического распознавания изображений пыльцы НЕ Ханжина | | 2021 |
| Synthetic images generation for text detection and recognition in the wild N Khanzhina, N Slepkova, A Filchenkov Twelfth International Conference on Machine Vision (ICMV 2019) 11433, 280-287, 2020 | | 2020 |
| Pollen-grains recognition using classical methods and neural networks. NE Khanzhina, EB Zamyatina Bulletin of Perm University. Mathematics. Mechanics. Computer Science …, 2014 | | 2014 |
| ИСПОЛЬЗОВАНИЕ НЕЙРОННЫХ СЕТЕЙ ДЛЯ РАСПОЗНАВАНИЯ ПЫЛЬЦЕВЫХ ЗЕРЕН НЕ Ханжина, ЕБ Замятина Вестник молодых учёных ПГНИУ, 314-322, 2014 | | 2014 |
| CONVOLUTIONAL NEURAL NETWORK TRAINING USING CUDA FOR POLLEN GRAINS RECOGNITION24 E Khanzhina Natalia, B Zamyatina Elena канд. физ.-мат. наук, доц. Алексей Геннадьевич Деменев, д-р физ.-мат. наук …, 0 | | |
Andrey FilchenkovHead of GO AI LabVerified email at itmo.ru
