Buch, Englisch, Band 12602, 468 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 739 g
9th International Conference, AIST 2020, Skolkovo, Moscow, Russia, October 15-16, 2020, Revised Selected Papers
Buch, Englisch, Band 12602, 468 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 739 g
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-030-72609-6
Verlag: Springer International Publishing
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.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
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.
