Recent Trends in Analysis of Images, Social Networks and Texts

10th International Conference, AIST 2021, Tbilisi, Georgia, December 16–18, 2021, Revised Selected Papers

AvEvgeny Burnaev,Dmitry I. Ignatov

Häftad, Engelska, 2022

Del 1573 i serien Communications in Computer and Information Science

856 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

Beskrivning

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.

Produktinformation

Utgivningsdatum:2022-08-30
Mått:155 x 235 x 19 mm
Vikt:370 g
Format:Häftad
Språk:Engelska
Serie:Communications in Computer and Information Science
Antal sidor:221
Förlag:Springer International Publishing AG
ISBN:9783031151675

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Databaser inom Data och IT
Artificiell intelligens inom Data och IT

Innehållsförteckning

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.

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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

AvEvgeny Burnaev,Dmitry I. Ignatov

Häftad, Engelska, 2022

Del 1573 i serien Communications in Computer and Information Science

856 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

Beskrivning

Produktinformation

Utgivningsdatum:2022-08-30
Mått:155 x 235 x 19 mm
Vikt:370 g
Format:Häftad
Språk:Engelska
Serie:Communications in Computer and Information Science
Antal sidor:221
Förlag:Springer International Publishing AG
ISBN:9783031151675

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Databaser inom Data och IT
Artificiell intelligens inom Data och IT

Innehållsförteckning

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.