E-raamat: Analysis of Images, Social Networks and Texts: 8th International Conference, AIST 2019, Kazan, Russia, July 17-19, 2019, Revised Selected Papers

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.