Alexander Bernstein
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
18
Venues
7
Active years
2016–2022
Best venue rank
A*
Where they publish
Papers
18 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2022 | ICMV | Autoencoders with deformable convolutions for latent representation of EEG spectrograms in classification tasks. | Maria Zubrikhina, Dmitrii Masnyi, Rifat Hamoudi, Hamid Alhaj, Bashar Issa, Almira Kustubaeva, Altyngul T. Kamzanova, Manzura Zholdassova, Alexander Bernstein, Evgeny Burnaev, Alexey Artemov, Maxim Sharaev |
| 2021 | EMNLP | Artificial Text Detection via Examining the Topology of Attention Maps. | Laida Kushnareva, Daniil Cherniavskii, Vladislav Mikhailov, Ekaterina Artemova, Serguei Barannikov, Alexander Bernstein, Irina Piontkovskaya, Dmitri Piontkovski, Evgeny Burnaev |
| 2020 | AIST | Interpretation of 3D CNNs for Brain MRI Data Classification. | Maxim Kan, Ruslan Aliev, Anna Rudenko, Nikita Drobyshev, Nikita Petrashen, Ekaterina Kondrateva, Maxim Sharaev, Alexander Bernstein, Evgeny Burnaev |
| 2020 | ICMV | Domain shift in computer vision models for MRI data analysis: an overview. | Ekaterina Kondrateva, Marina Pominova, Maxim Sharaev, Alexander Bernstein, Evgeny Burnaev |
| 2020 | ICMV | Fader networks for domain adaptation on fMRI: ABIDE-II study. | Marina Pominova, Ekaterina Kondrateva, Maxim Sharaev, Alexander Bernstein, Evgeny Burnaev |
| 2019 | ICMLA | Weakly Supervised Fine Tuning Approach for Brain Tumor Segmentation Problem. | Sergey Pavlov, Alexey Artemov, Maksim Sharaev, Alexander Bernstein, Evgeny Burnaev |
| 2019 | ICMLA | 3D Deformable Convolutions for MRI Classification. | Marina Pominova, Ekaterina Kondrateva, Maksim Sharaev, Alexander Bernstein, Sergey Pavlov, Evgeny Burnaev |
| 2019 | ICMV | Topological data analysis in computer vision. | Alexander Bernstein, Eugeny Burnaev, Maxim Sharaev, Ekaterina Kondrateva, Oleg Kachan |
| 2019 | ICMV | Machine learning models reproducibility and validation for MR images recognition. | Ekaterina Kondrateva, Polina Belozerova, Maxim Sharaev, Evgeny Burnaev, Alexander Bernstein, Irina Samotaeva |
| 2018 | DSAA | Kernel Regression on Manifold Valued Data. | Alexander P. Kuleshov, Alexander Bernstein, Evgeny Burnaev |
| 2018 | DSAA | MRI-Based Diagnostics of Depression Concomitant with Epilepsy: In Search of the Potential Biomarkers. | Maksim Sharaev, Alexey Artemov, Ekaterina Kondratyeva, Svetlana Sushchinskaya, Evgeny Burnaev, Alexander Bernstein, Renat Akzhigitov, Alexander Andreev |
| 2018 | ICDM | Voxelwise 3D Convolutional and Recurrent Neural Networks for Epilepsy and Depression Diagnostics from Structural and Functional MRI Data. | Marina Pominova, Alexey Artemov, Maksim Sharaev, Ekaterina Kondrateva, Alexander Bernstein, Evgeny Burnaev |
| 2018 | ICDM | Learning Connectivity Patterns via Graph Kernels for fMRI-Based Depression Diagnostics. | Maksim Sharaev, Alexey Artemov, Ekaterina Kondrateva, Sergei Ivanov, Svetlana Sushchinskaya, Alexander Bernstein, Andrzej Cichocki, Evgeny Burnaev |
| 2018 | ICDM | Functional Brain Areas Mapping in Patients with Glioma Based on Resting-State fMRI Data Decomposition. | Maksim Sharaev, Alexander Smirnov, Tatiana Melnikova-Pitskhelauri, Vyacheslav A. Orlov, Evgeny Burnaev, Igor Pronin, David Pitskhelauri, Alexander Bernstein |
| 2018 | ISAIM | Geometrically Motivated Nonstationary Kernel Density Estimation on Manifold. | Aleksander Kuleshov, Alexander Bernstein, Yury Yanovich |
| 2017 | ICDM | High-Dimensional Density Estimation for Data Mining Tasks. | Alexander P. Kuleshov, Alexander Bernstein, Yury Yanovich |
| 2017 | ICMLA | Machine Learning in Appearance-Based Robot Self-Localization. | Alexander P. Kuleshov, Alexander Bernstein, Evgeny Burnaev, Yury Yanovich |
| 2016 | ICMV | Machine vision and appearance based learning. | Alexander Bernstein |