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Alexander Potapov
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2020 – today
- 2023
- [c17]Gleb Danilov, Konstantin Kotik, Michael Shifrin, Yulia Strunina, Tatiana Pronkina, Tatiana Tsukanova, Vladimir Nepomnyashiy, Nikolay Konovalov, Valeriy Danilov, Alexander Potapov:
Data Quality Estimation Via Model Performance: Machine Learning as a Validation Tool. ICIMTH 2023: 369-372 - 2022
- [c16]Gleb Danilov, Konstantin Kotik, Michael Shifrin, Yulya Strunina, Tatiana Pronkina, Tatyana Tsukanova, Vladimir Nepomnyashiy, Nikolay Konovalov, Alexander Potapov:
Multinomial Classification of Neurosurgical Operations Using Gradient Boosting and Deep Learning Algorithms. ICIMTH 2022: 418-421 - [c15]Gleb Danilov, Konstantin Kotik, Elena Shevchenko, Dmitriy Usachev, Michael Shifrin, Yuliya Strunina, Tatyana Tsukanova, Timur Ishankulov, Vasiliy Lukshin, Alexander Potapov:
Predicting the Length of Stay in Neurosurgery with RuGPT-3 Language Model. ICIMTH 2022: 555-558 - 2021
- [j1]Aleksei Boikov, Roman Savelev, Vladimir Payor, Alexander Potapov:
Universal Approach for DEM Parameters Calibration of Bulk Materials. Symmetry 13(6): 1088 (2021) - [c14]Gleb Danilov, Michael Shifrin, Yulia Strunina, Timur Ishankulov, Timur Zagidullin, Elizaveta Makashova, Igor Pronin, Nikolay Konovalov, Alexander Potapov:
Best Research Practice Implementation: The Experience of the N.N. Burdenko National Medical Research Center of Neurosurgery. EFMI-STC 2021: 40-44 - [c13]Gleb Danilov, Konstantin Kotik, Michael A. Shifrin, Yuliya Strunina, Tatyana Pronkina, Tatyana Tsukanova, Timur Ishankulov, Maria Shults, Elizaveta Makashova, Yaroslav Latyshev, Rinat Sufianov, Oleg Sharipov, Anton Nazarenko, Nikolay Konovalov, Alexander Potapov:
A Comparison of Word Embeddings to Study Complications in Neurosurgery. ICIMTH 2021: 5-8 - [c12]Gleb Danilov, Timur Ishankulov, Alexandra Kosyrkova, Maria Shults, Semen Melchenko, Tatyana Tsukanova, Michael A. Shifrin, Alexander Potapov:
Semiautomatic Identification of Pulmonary Embolism in Electronic Health Records Through Sentence Labeling. ICIMTH 2021: 69-72 - [c11]Gleb Danilov, Konstantin Kotik, Elena Shevchenko, Dmitriy Usachev, Michael A. Shifrin, Yuliya Strunina, Tatyana Tsukanova, Timur Ishankulov, Vasiliy Lukshin, Alexander Potapov:
Length of Stay Prediction in Neurosurgery with Russian GPT-3 Language Model Compared to Human Expectations. ICIMTH 2021: 156-159 - [c10]Timur Ishankulov, Gleb Danilov, Konstantin Kotik, Yuriy Orlov, Mikhail Shifrin, Alexander Potapov:
The Classification of Scientific Abstracts Using Text Statistical Features. MedInfo 2021: 263-267 - [c9]Gleb Danilov, Vladislav Korolev, Michael Shifrin, Eugene Ilyushin, Narek Maloyan, Daniel Saada, Timur Ishankulov, Ramin Afandiev, Alexander Shevchenko, Tatyana Konakova, Tatyana Tsukanova, Svetlana Shugay, Igor Pronin, Alexander Potapov:
Noninvasive Glioma Grading with Deep Learning: A Pilot Study. MedInfo 2021: 675-678 - [c8]Gleb Danilov, Timur Ishankulov, Konstantin Kotik, Yuriy Orlov, Michael A. Shifrin, Alexander Potapov:
The Classification of Short Scientific Texts Using Pretrained BERT Model. MIE 2021: 83-87 - [c7]Gleb Danilov, Alexandra Kosyrkova, Maria Shults, Semen Melchenko, Tatyana Tsukanova, Michael A. Shifrin, Alexander Potapov:
Inter-Rater Reliability of Unstructured Text Labeling: Artificially vs. Naturally Intelligent Approaches. MIE 2021: 118-122 - [c6]Alexandra Kosyrkova, Eugene Ilyushin, Daniel Saada, Ramin Afandiev, Alexander Baev, Eudard Pogosbekyan, Vladimir Okhlopkov, Gleb Danilov, Artem Batalov, Igor Pronin, Natalia Zakharova, Anna Ogurtsova, Alexander Kravchuck, David Pitskhelauri, Alexander Potapov, Sergey Goryaynov:
Predicting the Increase in Postoperative Motor Deficits in Patients with Supratentorial Gliomas Using Machine Learning Methods. DAMDID/RCDL (Supplementary Proceedings) 2021: 120-133 - 2020
- [c5]Gleb Danilov, Michael A. Shifrin, Yuliya Strunina, Konstantin Kotik, Tatyana Tsukanova, Tatiana Pronkina, Timur Ishankulov, Elizaveta Makashova, Alexandra Kosyrkova, Alexander Potapov:
Detection of Muscle Weakness in Medical Texts Using Natural Language Processing. MIE 2020: 163-167 - [c4]Gleb Danilov, Konstantin Kotik, Michael A. Shifrin, Uliya Strunina, Tatyana Pronkina, Alexander Potapov:
Predicting Postoperative Hospital Stay in Neurosurgery with Recurrent Neural Networks Based on Operative Reports. MIE 2020: 382-386
2010 – 2019
- 2019
- [c3]Alexander Potapov, Ian Colbert, Kenneth Kreutz-Delgado, Alexander Cloninger, Srinjoy Das:
PT-MMD: A Novel Statistical Framework for the Evaluation of Generative Systems. ACSSC 2019: 2219-2223 - [c2]Gleb Danilov, Konstantin Kotik, Michael A. Shifrin, Uliya Strunina, Tatyana Pronkina, Alexander Potapov:
Prediction of Postoperative Hospital Stay with Deep Learning Based on 101 654 Operative Reports in Neurosurgery. EFMI-STC 2019: 125-129 - [c1]Gleb Danilov, Michael A. Shifrin, Uliya Strunina, Tatyana Pronkina, Alexander Potapov:
An Information Extraction Algorithm for Detecting Adverse Events in Neurosurgery Using Documents Written in a Natural Rich-in-Morphology Language. ICIMTH 2019: 194-197 - [i1]Alexander Potapov, Ian Colbert, Kenneth Kreutz-Delgado, Alexander Cloninger, Srinjoy Das:
PT-MMD: A Novel Statistical Framework for the Evaluation of Generative Systems. CoRR abs/1910.12454 (2019)
Coauthor Index
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