Del 12602 i serien Lecture Notes in Computer Science

Analysis of Images, Social Networks and Texts

9th International Conference, AIST 2020, Skolkovo, Moscow, Russia, October 15–16, 2020, Revised Selected Papers

Häftad, Engelska, 2021

AvWil M. P. van der Aalst,Vladimir Batagelj,Dmitry I. Ignatov,Michael Khachay,Olessia Koltsova,Andrey Kutuzov,Sergei O. Kuznetsov,Irina A. Lomazova,Natalia Loukachevitch,Amedeo Napoli,Alexander Panchenko,Panos M. Pardalos,Marcello Pelillo,Andrey V. Savchenko,Elena Tutubalina

719 kr

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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.

Produktinformation

Utgivningsdatum2021-04-09
Mått155 x 235 x 27 mm
Vikt739 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor468
FörlagSpringer Nature Switzerland AG
ISBN9783030726096

Tillhör följande kategorier

Systemvetenskap och AI inom Data och IT
Databaser inom Data och IT

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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Analysis of Images, Social Networks and Texts

9th International Conference, AIST 2020, Skolkovo, Moscow, Russia, October 15–16, 2020, Revised Selected Papers

Produktinformation

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Innehållsförteckning

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