Alexander Bernstein

41 papers B 2C 9Misc 1Journal 17Unranked 12

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A hierarchical algorithm with randomized learning for robust tissue segmentation and classification in digital pathology. Inf. Sci. Svetlana Illarionova, Rifat A. Hamoudi, Margarita Zapevalina, Ilya Fedin, Nadezhda Alsahanova, Alexander Bernstein, Evgeny Burnaev, Vera Alferova, Ekaterina Khrameeva, D. Shadrin, Iman Talaat, Ahmed Bouridane, Maxim Sharaev
2025	J	`jnl`	Knowledge-informed randomized machine learning and data fusion for anomaly areas detection in multimodal 3D images. Inf. Sci. Nadezhda Alsahanova, V. Yarkin, E. Spodarev, Oleg Bronov, Vladimir Bychenko, A. Marinets, E. Syrkashev, O. Karpov, Evgeny Burnaev, Alexander Bernstein, Vera Alferova, Maxim Sharaev
2025	J	`jnl`	impuTMAE: Multi-modal Transformer with Masked Pre-training for Missing Modalities Imputation in Cancer Survival Prediction. CoRR Maria Boyko, Aleksandra Beliaeva, Dmitriy Kornilov, Alexander Bernstein, Maxim Sharaev
2022	C	`conf`	Autoencoders with deformable convolutions for latent representation of EEG spectrograms in classification tasks. ICMV 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
2022	J	`jnl`	Multivariate Wasserstein Functional Connectivity for Autism Screening. CoRR Oleg Kachan, Alexander Bernstein
2021	—	`conf`	Artificial Text Detection via Examining the Topology of Attention Maps. EMNLP (1) Laida Kushnareva, Daniil Cherniavskii, Vladislav Mikhailov, Ekaterina Artemova, Serguei Barannikov, Alexander Bernstein, Irina Piontkovskaya, Dmitri Piontkovski, Evgeny Burnaev
2021	J	`jnl`	Artificial Text Detection via Examining the Topology of Attention Maps. CoRR Laida Kushnareva, Daniil Cherniavskii, Vladislav Mikhailov, Ekaterina Artemova, Serguei Barannikov, Alexander Bernstein, Irina Piontkovskaya, Dmitri Piontkovski, Evgeny Burnaev
2020	J	`jnl`	Convolutional neural networks for automatic detection of Focal Cortical Dysplasia. CoRR Ruslan Aliev, Ekaterina Kondrateva, Maxim Sharaev, Oleg Bronov, Alexey Marinets, Sergey Subbotin, Alexander Bernstein, Evgeny Burnaev
2020	J	`jnl`	Domain Shift in Computer Vision models for MRI data analysis: An Overview. CoRR Ekaterina Kondrateva, Marina Pominova, Elena Popova, Maxim Sharaev, Alexander Bernstein, Evgeny Burnaev
2020	C	`conf`	Domain shift in computer vision models for MRI data analysis: an overview. ICMV Ekaterina Kondrateva, Marina Pominova, Maxim Sharaev, Alexander Bernstein, Evgeny Burnaev
2020	J	`jnl`	Fader Networks for domain adaptation on fMRI: ABIDE-II study. CoRR Marina Pominova, Ekaterina Kondrateva, Maxim Sharaev, Alexander Bernstein, Evgeny Burnaev
2020	C	`conf`	Fader networks for domain adaptation on fMRI: ABIDE-II study. ICMV Marina Pominova, Ekaterina Kondrateva, Maxim Sharaev, Alexander Bernstein, Evgeny Burnaev
2020	J	`jnl`	Interpretable Deep Learning for Pattern Recognition in Brain Differences Between Men and Women. CoRR Maxim Kan, Ruslan Aliev, Anna Rudenko, Nikita Drobyshev, Nikita Petrashen, Ekaterina Kondrateva, Maxim Sharaev, Alexander Bernstein, Evgeny Burnaev
2020	—	`conf`	Interpretation of 3D CNNs for Brain MRI Data Classification. AIST (Supplement) Maxim Kan, Ruslan Aliev, Anna Rudenko, Nikita Drobyshev, Nikita Petrashen, Ekaterina Kondrateva, Maxim Sharaev, Alexander Bernstein, Evgeny Burnaev
2019	C	`conf`	3D Deformable Convolutions for MRI Classification. ICMLA Marina Pominova, Ekaterina Kondrateva, Maksim Sharaev, Alexander Bernstein, Sergey Pavlov, Evgeny Burnaev
2019	J	`jnl`	3D Deformable Convolutions for MRI classification. CoRR Marina Pominova, Ekaterina Kondrateva, Maksim Sharaev, Sergey Pavlov, Alexander Bernstein, Evgeny Burnaev
2019	C	`conf`	Machine learning models reproducibility and validation for MR images recognition. ICMV Ekaterina Kondrateva, Polina Belozerova, Maxim Sharaev, Evgeny Burnaev, Alexander Bernstein, Irina Samotaeva
2019	C	`conf`	Topological data analysis in computer vision. ICMV Alexander Bernstein, Eugeny Burnaev, Maxim Sharaev, Ekaterina Kondrateva, Oleg Kachan
2019	C	`conf`	Weakly Supervised Fine Tuning Approach for Brain Tumor Segmentation Problem. ICMLA Sergey Pavlov, Alexey Artemov, Maksim Sharaev, Alexander Bernstein, Evgeny Burnaev
2019	J	`jnl`	Weakly Supervised Fine Tuning Approach for Brain Tumor Segmentation Problem. CoRR Sergey Pavlov, Alexey Artemov, Maksim Sharaev, Alexander Bernstein, Evgeny Burnaev
2018	—	`conf`	Conformal prediction in manifold learning. COPA Alexander P. Kuleshov, Alexander Bernstein, Evgeny Burnaev
2018	—	`conf`	Functional Brain Areas Mapping in Patients with Glioma Based on Resting-State fMRI Data Decomposition. ICDM Workshops Maksim Sharaev, Alexander Smirnov, Tatiana Melnikova-Pitskhelauri, Vyacheslav A. Orlov, Evgeny Burnaev, Igor Pronin, David Pitskhelauri, Alexander Bernstein
2018	Misc	`conf`	Geometrically Motivated Nonstationary Kernel Density Estimation on Manifold. ISAIM Aleksander Kuleshov, Alexander Bernstein, Yury Yanovich
2018	B	`conf`	Kernel Regression on Manifold Valued Data. DSAA Alexander P. Kuleshov, Alexander Bernstein, Evgeny Burnaev
2018	—	`conf`	Learning Connectivity Patterns via Graph Kernels for fMRI-Based Depression Diagnostics. ICDM Workshops Maksim Sharaev, Alexey Artemov, Ekaterina Kondrateva, Sergei Ivanov, Svetlana Sushchinskaya, Alexander Bernstein, Andrzej Cichocki, Evgeny Burnaev
2018	—	`conf`	MRI brain imagery processing software in data analysis. MDA Alexander Bernstein, Renat Akzhigitov, Ekaterina Kondrateva, Svetlana Sushchinskaya, Irina Samotaeva, Vladislav Gaskin
2018	J	`jnl`	MRI brain imagery processing software in data analysis. Trans. Mass Data Anal. Images Signals Alexander Bernstein, Renat Akzhigitov, Ekaterina Kondrateva, Svetlana Sushchinskaya, Irina Samotaeva, Vladislav Gaskin
2018	B	`conf`	MRI-Based Diagnostics of Depression Concomitant with Epilepsy: In Search of the Potential Biomarkers. DSAA Maksim Sharaev, Alexey Artemov, Ekaterina Kondratyeva, Svetlana Sushchinskaya, Evgeny Burnaev, Alexander Bernstein, Renat Akzhigitov, Alexander Andreev
2018	J	`jnl`	Machine Learning pipeline for discovering neuroimaging-based biomarkers in neurology and psychiatry. CoRR Alexander Bernstein, Evgeny Burnaev, Ekaterina Kondratyeva, Svetlana Sushchinskaya, Maxim Sharaev, Alexander Andreev, Alexey Artemov, Renat Akzhigitov
2018	—	`conf`	Manifold Learning Regression with Non-stationary Kernels. ANNPR Alexander P. Kuleshov, Alexander Bernstein, Evgeny Burnaev
2018	—	`conf`	Pattern Recognition Pipeline for Neuroimaging Data. ANNPR Maxim Sharaev, Alexander Andreev, Alexey Artemov, Evgeny Burnaev, Ekaterina Kondratyeva, Svetlana Sushchinskaya, Irina Samotaeva, Vladislav Gaskin, Alexander Bernstein
2018	—	`conf`	Voxelwise 3D Convolutional and Recurrent Neural Networks for Epilepsy and Depression Diagnostics from Structural and Functional MRI Data. ICDM Workshops Marina Pominova, Alexey Artemov, Maksim Sharaev, Ekaterina Kondrateva, Alexander Bernstein, Evgeny Burnaev
2018	J	`jnl`	fMRI: preprocessing, classification and pattern recognition. CoRR Maxim Sharaev, Alexander Andreev, Alexey Artemov, Alexander Bernstein, Evgeny Burnaev, Ekaterina Kondratyeva, Svetlana Sushchinskaya, Renat Akzhigitov
2017	—	`conf`	Conformal COPA Vladislav Ishimtsev, Alexander Bernstein, Evgeny Burnaev, Ivan Nazarov
2017	J	`jnl`	Conformal k-NN Anomaly Detector for Univariate Data Streams. CoRR Vladislav Ishimtsev, Ivan Nazarov, Alexander Bernstein, Evgeny Burnaev
2017	—	`conf`	High-Dimensional Density Estimation for Data Mining Tasks. ICDM Workshops Alexander P. Kuleshov, Alexander Bernstein, Yury Yanovich
2017	C	`conf`	Machine Learning in Appearance-Based Robot Self-Localization. ICMLA Alexander P. Kuleshov, Alexander Bernstein, Evgeny Burnaev, Yury Yanovich
2017	—	`conf`	Mobile Robot Localization via Machine Learning. MLDM Alexander P. Kuleshov, Alexander Bernstein, Evgeny Burnaev
2017	J	`jnl`	Mobile Robot Localization via Machine Learning. CoRR Alexander P. Kuleshov, Alexander Bernstein, Evgeny Burnaev
2017	J	`jnl`	Nonlinear multi-output regression on unknown input manifold. Ann. Math. Artif. Intell. Alexander P. Kuleshov, Alexander Bernstein
2016	C	`conf`	Machine vision and appearance based learning. ICMV Alexander Bernstein