Analysis of Images, Social Networks and Texts -

Analysis of Images, Social Networks and Texts

9th International Conference, AIST 2020, Skolkovo, Moscow, Russia, October 15–16, 2020, Revised Selected Papers
Buch | Softcover
XXIV, 468 Seiten
2021 | 1st ed. 2021
Springer International Publishing (Verlag)
978-3-030-72609-6 (ISBN)
53,49 inkl. MwSt
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.

 

Erscheinungsdatum
Reihe/Serie Information Systems and Applications, incl. Internet/Web, and HCI
Lecture Notes in Computer Science
Zusatzinfo XXIV, 468 p. 29 illus., 1 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 747 g
Themenwelt Informatik Datenbanken Data Warehouse / Data Mining
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Schlagworte analysis of images and video • Applications • Computational Linguistics • Computer Science • computer vision • conference proceedings • Data Mining • Deep learning • Game Analytics • graph theory • Image Analysis • Informatics • Information Retrieval • Linguistics • machine learning • Natural Language Processing (NLP) • Neural networks • pattern recognition • recommender systems and collaborative technologies • Research • Semantics • Signal Processing • social network analysis • Social Networks • Web mining
ISBN-10 3-030-72609-6 / 3030726096
ISBN-13 978-3-030-72609-6 / 9783030726096
Zustand Neuware
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