Analysis of Images, Social Networks and Texts : 8th International Conference, AIST 2019, Kazan, Russia, July 17-19, 2019, Revised Selected Papers / edited by Wil M. P. van der Aalst, Vladimir Batagelj, Dmitry I. Ignatov, Michael Khachay, Valentina Kuskova, Andrey Kutuzov, Sergei O. Kuznetsov, Irina A. Lomazova, Natalia Loukachevitch, Amedeo Napoli, Panos M. Pardalos, Marcello Pelillo, Andrey V. Savchenko, Elena Tutubalina.

Format:

Book

Contributor:

van der Aalst, Wil M. P., editor.

Batagelj, Vladimir, 1948- editor.

Ignatov, Dmitry I., editor.

Khachay, Mikhail Yu., editor.

Kuskova, Valentina, editor.

Kutuzov, Andrey, editor.

Kuznetsov, Sergei O., editor.

Lomazova, Irina A., editor.

Loukachevitch, Natalia, editor.

Napoli, Amedeo, editor.

Pardalos, P. M. (Panos M.), 1954- editor.

Pelillo, Marcello, editor.

Savchenko, Andrey V., editor.

Tutubalina, Elena, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

LNCS sublibrary. Information systems and applications, incl. Internet/Web, and HCI ; SL 3, 11832.

Information Systems and Applications, incl. Internet/Web, and HCI ; 11832

Language:

English

Subjects (All):

Data mining.

Optical data processing.

Artificial intelligence.

Database management.

Application software.

Data Mining and Knowledge Discovery.

Image Processing and Computer Vision.

Artificial Intelligence.

Database Management.

Computer Appl. in Social and Behavioral Sciences.

Local Subjects:

Data Mining and Knowledge Discovery.

Image Processing and Computer Vision.

Artificial Intelligence.

Database Management.

Computer Appl. in Social and Behavioral Sciences.

Physical Description:

1 online resource (XXX, 426 pages) : 238 illustrations, 87 illustrations in color.

Edition:

First edition 2019.

Contained In:

Springer eBooks

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2019.

System Details:

text file PDF

Summary:

This book constitutes the post-conference proceedings of the 8th International Conference on Analysis of Images, Social Networks and Texts, AIST 2019, held in Kazan, Russia, in July 2019. The 27 full and 8 short papers were carefully reviewed and selected from 134 submissions (of which 21 papers were automatically rejected without being reviewed). The papers are organized in topical sections on general topics of data analysis; natural language processing; social network analysis; analysis of images and video; optimization problems on graphs and network structures; and analysis of dynamic behavior through event data.

Contents:

Invited Opinion Talk

Double-blind peer-reviewing and inclusiveness in Russian NLP conferences

Tutorial

Intel® Distribution of OpenVINO™ toolkit: a case study of semantic Segmentation

General Topics of Data Analysis

Experimental Analysis of Approaches to Multidimensional Conditional Density Estimation

Histogram-based algorithm for building gradient boosting ensembles of piecewise linear decision trees

Deep Reinforcement Learning in Match-3 Game

Distance in Geographic and Characteristics Space for Real Estate Price Prediction

Fast Nearest-Neighbor Classifier based on Sequential Analysis of Principal Components

A Simple Method to Evaluate Support Size and Non-uniformity of a Decoder-Based Generative Model

Natural Language Processing

Biomedical Entities Impact on Rating Prediction for Psychiatric Drugs

Combining Neural Language Models for WordSense Induction

Log-based Reading Speed Prediction: a Case Study on War and Peace

Cross-lingual argumentation mining for Russian texts

Dynamic Topic Models for Retrospective Event Detection: A Study on Soviet Opposition-Leaning Media

Deep Embeddings for Brand Detection in Product Titles

Wear the Right Head: Comparing Strategies for Encoding Sentences for Aspects Extraction

Combined Advertising Sign Classifier

A comparison of algorithms for detection of "figurativeness" in metaphor, irony and puns

Authorship Attribution in Russian with New High-Performing and Fully Interpretable Morpho-Syntactic Features

Evaluation of Sentence Embedding Models for Natural Language Understating Problems in Russian

Noun Compositionality Detection using Distributional Semantics for the Russian Language

Deep JEDi: Deep Joint Entity Disambiguation to Wikipedia for Russian

Selecting an optimal feature set for stance detection

Social network analysis

Analysis of Students Educational Interests Using Social Networks Data

Multilevel Exponential Random Graph Models Application to Civil Participation Studies

The Entity Name Identification in Classification Algorithm: Testing the Advocacy Coalition Framework by Document Analysis (the Case of Russian Civil Society Policy)

Analysis of Images and Video

Multi-label Image Set Recognition in Visually-Aware Recommender Systems

Input simplifying as an approach for improving neural network efficiency

American and Russian Sign Language Dactyl Recognition and Text2Sign Translation

Data augmentation with GAN: improving chest X-rays pathologies prediction on class-imbalanced cases

Estimation of non-radial geometric distortions for dash cams

On Expert-defined versus Learned Hierarchies for Image Classification

A switching morphological algorithm for depth map recovery

Learning to Approximate Directional Fields Defined over 2D Planes

Optimization Problems on Graphs and Network Structures

Fast and Exact Algorithms for Some NP-Hard 2-Clustering Problems in the One-Dimensional Case

Efficient PTAS for the Euclidean Capacitated Vehicle Routing Problem with non-uniform non-splittable demand

Analysis of Dynamic Behavior Through Event Data

Detection of Anomalies in the Criminal Proceedings Based on the Analysis of Event Logs

Method to Improve Workow Net Decomposition for Process Model Repair.

Other Format:

Printed edition:

ISBN:

978-3-030-37334-4

9783030373344

Access Restriction:

Restricted for use by site license.