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Analysis of Images, Social Networks and Texts: 8th International Conference, AIST 2019, Kazan, Russia, July 1719, 2019, Revised Selected Papers 2019 ed. [Mīkstie vāki]

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  • Formāts: Paperback / softback, 426 pages, height x width: 235x155 mm, weight: 694 g, 87 Illustrations, color; 151 Illustrations, black and white; XXX, 426 p. 238 illus., 87 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 11832
  • Izdošanas datums: 15-Dec-2019
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 3030373339
  • ISBN-13: 9783030373337
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Analysis of Images, Social Networks and Texts: 8th International Conference, AIST 2019, Kazan, Russia, July 1719, 2019, Revised Selected Papers 2019 ed.Palielināt
  • Formāts: Paperback / softback, 426 pages, height x width: 235x155 mm, weight: 694 g, 87 Illustrations, color; 151 Illustrations, black and white; XXX, 426 p. 238 illus., 87 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 11832
  • Izdošanas datums: 15-Dec-2019
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 3030373339
  • ISBN-13: 9783030373337
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9783030373337.html
Keywords:
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.
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.