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AIST 2020: Skolkovo, Moscow, Russia - Supplementary Proceedings
- Wil M. P. van der Aalst
, Vladimir Batagelj
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
Detecting Automatically Managed Accounts in Online Social Networks: Graph Embeddings Approach. 11-21 - Anna Safaryan
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
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
Convolutional Variational Autoencoders for Spectrogram Compression in Automatic Speech Recognition. 115-126
Computer Vision
- Alexey Kovalenko
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
Object-Attribute Biclustering for Elimination of Missing Genotypes in Ischemic Stroke Genome-Wide Data. 185-204 - Elena V. Feldman, Alexey N. Ruchay
Bitcoin Abnormal Transaction Detection Based on Machine Learning. 205-215 - Ho Lum Cheung
Commutes and Contagions: Simulating Disease Propagation on Urban Transportation Networks. 216-228 - Maxim Kan, Ruslan Aliev, Anna Rudenko, Nikita Drobyshev, Nikita Petrashen, Ekaterina Kondrateva
Interpretation of 3D CNNs for Brain MRI Data Classification. 229-241 - Eduard Klyshinsky
A Comparison of Neural Networks Architectures for Diacritics Restoration. 242-253
Theoretical Machine Learning and Optimization
- Edward Gimadi
On Asymptotically Optimal Solvability of Euclidean Max m-k-Cycles Cover Problem. 257-266 - Edward Kh. Gimadi
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
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