default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDAIST 2020: Skolkovo, Moscow, Russia - Supplementary Proceedings
- Wil M. P. van der Aalst
, Vladimir Batagelj, Alexey Buzmakov, Dmitry I. Ignatov, Anna A. Kalenkova, Michael Yu. Khachay, Olessia Koltsova, Andrey Kutuzov, Sergei O. Kuznetsov, Irina A. Lomazova, Natalia V. Loukachevitch, Ilya Makarov, Amedeo Napoli, Alexander Panchenko, Panos M. Pardalos, Marcello Pelillo, Andrey V. Savchenko, Elena Tutubalina:
Recent Trends in Analysis of Images, Social Networks and Texts - 9th International Conference, AIST 2020, Skolkovo, Moscow, Russia, October 15-16, 2020 Revised Supplementary Proceedings. Communications in Computer and Information Science 1357, Springer 2021, ISBN 978-3-030-71213-6
Natural Language Processing
- Amir Bakarov:
Did You Just Assume My Vector? Detecting Gender Stereotypes in Word Embeddings. 3-10 - Ilia Karpov, Ekaterina Glazkova:
Detecting Automatically Managed Accounts in Online Social Networks: Graph Embeddings Approach. 11-21 - Anna Safaryan, Petr Filchenkov, Weijia Yan, Andrey Kutuzov, Irina Nikishina:
Semantic Recommendation System for Bilingual Corpus of Academic Papers. 22-36 - Alexander Pugachev, Anton Voronov, Ilya Makarov:
Prediction of News Popularity via Keywords Extraction and Trends Tracking. 37-51 - Irina Matueva, Natalia V. Loukachevitch:
Methods for Verification of Sentiment Frames. 52-64 - Ulyana Isaeva, Alexey Sorokin:
Investigating the Robustness of Reading Difficulty Models for Russian Educational Texts. 65-77 - Anna Dmitrieva, Jörg Tiedemann:
A Multi-task Learning Approach to Text Simplification. 78-89 - Efim Luboshnikov, Ilya Makarov:
Federated Learning in Named Entity Recognition. 90-101 - Olga Mitrofanova, Anna Kriukova, Valery Shulginov, Vadim Shulginov:
E-hypertext Media Topic Model with Automatic Label Assignment. 102-114 - Olga Yakovenko, Ivan Bondarenko:
Convolutional Variational Autoencoders for Spectrogram Compression in Automatic Speech Recognition. 115-126
Computer Vision
- Alexey Kovalenko, Yana Demyanenko:
Unsupervised Training of Denoising Networks. 129-139 - Ilya Gavrikov, Andrey V. Savchenko:
Efficient Group-Based Cohesion Prediction in Images Using Facial Descriptors. 140-148 - Alexey Mikhaylichenko, Yana Demyanenko:
Automatic Grading of Knee Osteoarthritis from Plain Radiographs Using Densely Connected Convolutional Networks. 149-161 - Ivan Goncharov, Alexey Mikhaylichenko, Anatoly Kleschenkov:
A Novel Approach to Measurement of the Transverse Velocity of the Large-Scale Objects. 162-169
Social Network Analysis
- Ilya Samonenko, Tamara Voznesenskaya, Rostislav Yavorskiy:
How the Minimal Degree of a Social Graph Affects the Efficiency of an Organization. 173-181
Data Analysis and Machine Learning
- Dmitry I. Ignatov, Gennady V. Khvorykh, Andrey V. Khrunin, Stefan Nikolic, Makhmud Shaban, Elizaveta A. Petrova, Evgeniya A. Koltsova, Fouzi Takelait, Dmitrii Egurnov:
Object-Attribute Biclustering for Elimination of Missing Genotypes in Ischemic Stroke Genome-Wide Data. 185-204 - Elena V. Feldman, Alexey N. Ruchay, Veronica K. Matveeva, Valeria D. Samsonova:
Bitcoin Abnormal Transaction Detection Based on Machine Learning. 205-215 - Ho Lum Cheung, Dimas Muñoz-Montesinos:
Commutes and Contagions: Simulating Disease Propagation on Urban Transportation Networks. 216-228 - Maxim Kan, Ruslan Aliev, Anna Rudenko, Nikita Drobyshev, Nikita Petrashen, Ekaterina Kondrateva, Maxim Sharaev, Alexander Bernstein, Evgeny Burnaev:
Interpretation of 3D CNNs for Brain MRI Data Classification. 229-241 - Eduard Klyshinsky, Olesya D. Karpik, Alexander Bondarenko:
A Comparison of Neural Networks Architectures for Diacritics Restoration. 242-253
Theoretical Machine Learning and Optimization
- Edward Gimadi, Ivan A. Rykov:
On Asymptotically Optimal Solvability of Euclidean Max m-k-Cycles Cover Problem. 257-266 - Edward Kh. Gimadi, Aleksandr S. Shevyakov:
An Effective Algorithm for the Three-Stage Facility Location Problem on a Tree-Like Network. 267-274
Process Mining
- Marianna M. Korenkova, Elena V. Shadrina, Olga E. Oshmarina:
Educational Data Mining for Prediction of Academically Risky Students Depending on Their Temperament. 277-290
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-05-19 21:15 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
