Recent Trends in Analysis of Images, Social Networks and Texts, Burnaev
Автор: Burnaev Название: Analysis of Images, Social Networks and Texts ISBN: 3031164997 ISBN-13(EAN): 9783031164996 Издательство: Springer Рейтинг: Цена: 69870.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book constitutes revised selected papers from the thoroughly refereed proceedings of the 10th International Conference on Analysis of Images, Social Networks and Texts, AIST 2021, held in Tbilisi, Georgia, during December 16–18, 2021. The 20 full papers and 5 short papers included in this book were carefully reviewed and selected from 118 submissions. They were organized in topical sections as follows: Invited papers; natural language processing; computer vision; data analysis and machine learning; social network analysis; and theoretical machine learning and optimization.
Автор: Dmitry I. Ignatov; Mikhail Yu. Khachay; Valeri G. Название: Analysis of Images, Social Networks and Texts ISBN: 3319529196 ISBN-13(EAN): 9783319529196 Издательство: Springer Рейтинг: Цена: 69870.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book constitutes the proceedings of the 5th International Conference on Analysis of Images, Social Networks and Texts, AIST 2016, held in Yekaterinburg, Russia, in April 2016.The 23 full papers, 7 short papers, and 3 industrial papers were carefully reviewed and selected from 142 submissions.
Автор: Wil M. P. van der Aalst; Vladimir Batagelj; Goran Название: Analysis of Images, Social Networks and Texts ISBN: 3030110265 ISBN-13(EAN): 9783030110260 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book constitutes the proceedings of the 7th International Conference on Analysis of Images, Social Networks and Texts, AIST 2018, held in Moscow, Russia, in July 2018.The 29 full papers were carefully reviewed and selected from 107 submissions (of which 26 papers were rejected without being reviewed). The papers are organized in topical sections on natural language processing; analysis of images and video; general topics of data analysis; analysis of dynamic behavior through event data; optimization problems on graphs and network structures; and innovative systems.
Автор: Wil M. P. van der Aalst; Vladimir Batagelj; Dmitry Название: Analysis of Images, Social Networks and Texts ISBN: 3030373339 ISBN-13(EAN): 9783030373337 Издательство: Springer Рейтинг: Цена: 68930.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Invited Opinion Talk.- Double-blind peer-reviewing and inclusiveness in Russian NLP conferences.- Tutorial.- Intel(R) Distribution of OpenVINO(TM) 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.
Автор: Dmitry I. Ignatov; Mikhail Yu. Khachay; Alexander Название: Analysis of Images, Social Networks and Texts ISBN: 3319125796 ISBN-13(EAN): 9783319125794 Издательство: Springer Рейтинг: Цена: 54040.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book constitutes the proceedings of the Third International Conference on Analysis of Images, Social Networks and Texts, AIST 2014, held in Yekaterinburg, Russia, in April 2014. They are presented together with 3 short industrial papers, 4 invited papers and tutorials. The papers deal with topics such as analysis of images and videos;
Автор: Mikhail Yu. Khachay; Natalia Konstantinova; Alexan Название: Analysis of Images, Social Networks and Texts ISBN: 3319261223 ISBN-13(EAN): 9783319261225 Издательство: Springer Рейтинг: Цена: 68950.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book constitutes the proceedings of the Fourth International Conference on Analysis of Images, Social Networks and Texts, AIST 2015, held in Yekaterinburg, Russia, in April 2015.The 24 full and 8 short papers were carefully reviewed and selected from 140 submissions.
Автор: van der Aalst Название: Analysis of Images, Social Networks and Texts ISBN: 3319730126 ISBN-13(EAN): 9783319730127 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book constitutes the proceedings of the 6th International Conference on Analysis of Images, Social Networks and Texts, AIST 2017, held in Moscow, Russia, in July 2017. The 29 full papers and 8 short papers were carefully reviewed and selected from 127 submissions. general topics of data analysis;
Автор: Van Der Aalst Wil M. P., Batagelj Vladimir, Ignatov Dmitry I. Название: Analysis of Images, Social Networks and Texts: 8th International Conference, Aist 2019, Kazan, Russia, July 17-19, 2019, Revised Selected Papers ISBN: 303039574X ISBN-13(EAN): 9783030395742 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book constitutes the proceedings of the 8th International Conference on Analysis of Images, Social Networks and Texts, AIST 2019, held in Kazan, Russia, in July 2019.The 24 full papers and 10 short papers were carefully reviewed and selected from 134 submissions (of which 21 papers were rejected without being reviewed).
Автор: Rokia Missaoui; Talel Abdessalem; Matthieu Latapy Название: Trends in Social Network Analysis ISBN: 331953419X ISBN-13(EAN): 9783319534190 Издательство: Springer Рейтинг: Цена: 111790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The book collects contributions from experts worldwide addressing recent scholarship in social network analysis such as influence spread, link prediction, dynamic network biclustering, and delurking.
Автор: Missaoui Rokia, Abdessalem Talel, Latapy Matthieu Название: Trends in Social Network Analysis: Information Propagation, User Behavior Modeling, Forecasting, and Vulnerability Assessment ISBN: 3319851497 ISBN-13(EAN): 9783319851495 Издательство: Springer Рейтинг: Цена: 111790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The book collects contributions from experts worldwide addressing recent scholarship in social network analysis such as influence spread, link prediction, dynamic network biclustering, and delurking.
Автор: Gunjan Vinit Kumar, Zurada Jacek M. Название: Proceedings of the 2nd International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications: Icmisc 2021 ISBN: 9811664064 ISBN-13(EAN): 9789811664069 Издательство: Springer Рейтинг: Цена: 232910.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book contains original, peer-reviewed research articles from the Second International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications, held in March 28-29th 2021 at CMR Institute of Technology, Hyderabad, Telangana India. It covers the latest research trends and developments in areas of machine learning, artificial intelligence, neural networks, cyber-physical systems, cybernetics, with emphasis on applications in smart cities, Internet of Things, practical data science and cognition. The book focuses on the comprehensive tenets of artificial intelligence, machine learning and deep learning to emphasize its use in modelling, identification, optimization, prediction, forecasting and control of future intelligent systems. Submissions were solicited of unpublished material, and present in-depth fundamental research contributions from a methodological/application perspective in understanding artificial intelligence and machine learning approaches and their capabilities in solving a diverse range of problems in industries and its real-world applications.
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