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Recent Trends in Analysis of Images, Social Networks and Texts : 10th International Conference, AIST 2021, Tbilisi, Georgia, December 16-18, 2021, Revised Selected Papers / edited by Evgeny Burnaev, Dmitry I. Ignatov, Sergei Ivanov, Michael Khachay, Olessia Koltsova, Andrei Kutuzov, Sergei O. Kuznetsov, Natalia Loukachevitch, Amedeo Napoli, Alexander Panchenko, Panos M. Pardalos, Jari Saramäki, Andrey V. Savchenko, Evgenii Tsymbalov, Elena Tutubalina.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- Communications in computer and information science 1865-0937 ; 1573
- Communications in Computer and Information Science, 1865-0937 ; 1573
- Language:
- English
- Subjects (All):
- Data mining.
- Artificial intelligence.
- Application software.
- Database management.
- Social sciences-Data processing.
- Image processing-Digital techniques.
- Computer vision.
- Data Mining and Knowledge Discovery.
- Artificial Intelligence.
- Computer and Information Systems Applications.
- Database Management.
- Computer Application in Social and Behavioral Sciences.
- Computer Imaging, Vision, Pattern Recognition and Graphics.
- Local Subjects:
- Data Mining and Knowledge Discovery.
- Artificial Intelligence.
- Computer and Information Systems Applications.
- Database Management.
- Computer Application in Social and Behavioral Sciences.
- Computer Imaging, Vision, Pattern Recognition and Graphics.
- Physical Description:
- 1 online resource (XVIII, 221 pages) : 57 illustrations, 41 illustrations in color.
- Edition:
- 1st ed. 2022.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2022.
- System Details:
- text file PDF
- Summary:
- This book constitutes revised selected papers of the 10th International Conference on Analysis of Images, Social Networks and Texts, AIST 2021, held in Tbilisi, Georgia, in December 2021. Due to the COVID-19 pandemic the conference was held in hybrid mode. The 17 full papers were carefully reviewed and selected from 118 submissions, out of which 92 were sent to peer review. The papers are organized in topical sections on natural language processing; computer vision; data analysis and machine learning; social network analysis; theoretical machine learning and optimisation.
- Contents:
- Natural Language Processing
- Call Larisa Ivanovna: Code-Mixing Fools Multilingual NLU Models
- Extracting Software Requirements from Unstructured Documents
- Continuous Prompt Tuning for Russian: How to Learn Prompts Efficiently with RuGPT3?
- An Intelligent Web-Service for Automatic Concept Map Generation
- Language-Free Regular Expression Search of Document's References
- Does BERT Look at Sentiment Lexicon?
- Context-Based Text-Graph Embeddings in Word-Sense Induction tasks
- Computer Vision
- Analysis of Thresholding Methods for the Segmentation of Brain Vessels
- Transformer-based Deep Reinforcement Learning in VizDoom
- Text CAPTCHA Traversal via Knowledge Distillation of Convolutional Neural Networks: Exploring the Impact of Color Channels Selection
- Data Analysis and Machine Learning
- Dropout Strikes Back: Improved Uncertainty Estimation via Diversity Sampling
- Learning to Generate Synthetic Training Data using Gradient Matching and Implicit Differentiation
- Social Network Analysis
- Agent-Based Model for Estimation of Collective Emotions in Social Networks
- A method for identifying bridges in online social networks
- Theoretical Machine Learning and Optimisation
- On the Pareto-Optimal Solutions in the Multimodal Clustering Problem
- On Several Edge-Disjoint MSTs with Given Diameter in Undirected Graph with Exponentially Distributed Edge Weights
- Neural Architecture Search with Structure Complexity Control.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-031-15168-2
- 9783031151682
- Access Restriction:
- Restricted for use by site license.
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