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E-raamat: Analysis of Images, Social Networks and Texts: 9th International Conference, AIST 2020, Skolkovo, Moscow, Russia, October 15-16, 2020, Revised Selected Papers

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Analysis of Images, Social Networks and Texts: 9th International Conference, AIST 2020, Skolkovo, Moscow, Russia, October 15-16, 2020, Revised Selected PapersSuurem pilt
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This book constitutes revised selected papers from the 9th International Conference on Analysis of Images, Social Networks and Texts, AIST 2020, held during October 15-16, 2020. The conference was planned to take place in Moscow, Russia, but changed to an online format due to the COVID-19 pandemic.The 27 full papers and 4 short papers presented in this volume were carefully reviewed and selected from a total of 108 qualified submissions. The papers are organized in topical sections as follows: invited papers; natural language processing; computer vision; social network analysis; data analysis and machine learning; theoretical machine learning and optimization; and process mining.





 
Invited Papers.- Making ML Models Fairer through Explanations: the Case
of LimeOut.- RuREBus: a Case Study of Joint Named Entity Recognition and
Relation Extraction from e-Government Domain.- On Interpretability and
Similarity in Concept-Based Machine Learning.- Natural Language Processing.-
DaNetQA: a yes/no Question Answering Dataset for the Russian Language.- Do
Topics Make a Metaphor? Topic Modeling for Metaphor Identification and
Analysis in Russian.- Metagraph-Based Approach for Neural Text Question
Generation.- Abstractive Summarization of Russian News Learning on Quality
Media.- RST Discourse Parser for Russian: an Experimental Study of Deep
Learning Models.- A Comparative Study of Feature Types for Age-Based Text
Classification.- Emotion Classification in Russian: Feature Engineering and
Analysis.- Generating Sport Summaries: A Case Study for Russian.- Automatic
Generation of Annotated Collection for Recognition of Sentiment Frames.- ELMo
and BERT in Semantic Change Detection for Russian.- BERT for
Sequence-to-Sequence Multi-Label Text Classification.- Computer Vision.- Deep
Learning on Point Clouds for False Positive Reduction at Nodule Detection in
Chest CT Scans.- Identifying User Interests and Habits Using Object Detection
and Semantic Segmentation Models.- Semi-Automatic Manga Colorization Using
Conditional Adversarial Networks.- Automated Image and Video Quality
Assessment for Computational Video Editing.- An Ensemble-based Classifier of
Photographs of Commercial Buildings Facades.- Social Network Analysis.-
Linking Friends in Social Networks using HashTag Attributes.- Emotional
Analysis of Russian Texts Using Emojis in Social Networks.- Community
Detection Based on the Nodes Role in a Network: the Telegram Platform Case.-
Study Of Strategies For Disseminating Information In Social Networks Using
Simulation Tools.- Data Analysis and Machine Learning.- Advanced Data
Recognition Technique for Real-Time and Monitoring Systems.- Human Action
Recognition for Boxing Training Simulator.- Bayesian Filtering in a Latent
Space to Predict Bank Net Income from Acquiring.- Gradient-Based Adversarial
Attacks on Categorical Sequence Models via Traversing an Embedded World.-
Russia on the Global Artificial Intelligence Scene.- New Properties Of The
Data Distillation Method When Working With Tabular Data.- Unsupervised
Anomaly Detection for Semi-Structured Sequence Healthcare Data.- Theoretical
Machine Learning and Optimization.- Lower Bound Polynomial Fast Procedure for
the Resource-Constrained Project Scheduling Problem Tested on PSPLIB
Instances.- Fast Approximation Algorithms for Stabbing Special Families of
Line Segments with Equal Disks.- Process Mining.- Checking Conformance
between Colored Petri Nets and Event Logs.- Data and Reference Semantic-Based
Simulator of DB-nets with the Use of Renew Tool.



 
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