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Analysis of Images, Social Networks and Texts

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Table of Contents

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    Book Overview
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    Chapter 1 Automated Detection of Adverse Drug Reactions from Social Media Posts with Machine Learning
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    Chapter 2 Automated Detection of Non-Relevant Posts on the Russian Imageboard “2ch”: Importance of the Choice of Word Representations
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    Chapter 3 A Morphological Processor for Russian with Extended Functionality
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    Chapter 4 SyntaxNet Errors from the Linguistic Point of View
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    Chapter 5 Size vs. Structure in Training Corpora for Word Embedding Models: Araneum Russicum Maximum and Russian National Corpus
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    Chapter 6 Combining Thesaurus Knowledge and Probabilistic Topic Models
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    Chapter 7 Russian-Language Question Classification: A New Typology and First Results
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    Chapter 8 Domain Adaptation for Resume Classification Using Convolutional Neural Networks
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    Chapter 9 Fighting with the Sparsity of Synonymy Dictionaries for Automatic Synset Induction
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    Chapter 10 Men Are from Mars, Women Are from Venus: Evaluation and Modelling of Verbal Associations
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    Chapter 11 Rotations and Interpretability of Word Embeddings: The Case of the Russian Language
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    Chapter 12 HuGaDB: Human Gait Database for Activity Recognition from Wearable Inertial Sensor Networks
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    Chapter 13 On Finding Maximum Cardinality Subset of Vectors with a Constraint on Normalized Squared Length of Vectors Sum
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    Chapter 14 Using Cluster Analysis for Characteristics Detection in Software Defect Reports
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    Chapter 15 A Machine Learning Approach to Enhanced Oil Recovery Prediction
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    Chapter 16 An Approach to Establishing the Correspondence of Spatial Objects on Heterogeneous Maps Based on Methods of Computational Topology
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    Chapter 17 Predicting Winning Team and Probabilistic Ratings in “Dota 2” and “Counter-Strike: Global Offensive” Video Games
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    Chapter 18 Bagging Prediction for Censored Data: Application for Theatre Demand
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    Chapter 19 Original Loop-Closure Detection Algorithm for Monocular vSLAM
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    Chapter 20 Organizing Multimedia Data in Video Surveillance Systems Based on Face Verification with Convolutional Neural Networks
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    Chapter 21 Satellite Image Forgery Detection Based on Buildings Shadows Analysis
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    Chapter 22 Nonlinear Dimensionality Reduction of Hyperspectral Data Using Spectral Correlation as a Similarity Measure
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    Chapter 23 Large-Scale Shape Retrieval with Sparse 3D Convolutional Neural Networks
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    Chapter 24 Floor-Ladder Framework for Human Face Beautification
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    Chapter 25 Array DBMS and Satellite Imagery: Towards Big Raster Data in the Cloud
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    Chapter 26 Impulsive Noise Removal from Color Images with Morphological Filtering
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    Chapter 27 An Exact Polynomial Algorithm for the Outerplanar Facility Location Problem with Improved Time Complexity
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    Chapter 28 Approximation Algorithms for the Maximum m-Peripatetic Salesman Problem
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    Chapter 29 A Randomized Algorithm for 2-Partition of a Sequence
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    Chapter 30 An Approximation Scheme for a Weighted Two-Cluster Partition Problem
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    Chapter 31 Hitting Set Problem for Axis-Parallel Squares Intersecting a Straight Line Is Polynomially Solvable for Any Fixed Range of Square Sizes
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    Chapter 32 Polynomial Time Solvable Subclass of the Generalized Traveling Salesman Problem on Grid Clusters
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    Chapter 33 Stabbing Line Segments with Disks: Complexity and Approximation Algorithms
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    Chapter 34 On the Efficient Application of Aho-Corasick Algorithm in Process Mining
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    Chapter 35 Health, Grades and Friendship: How Socially Constructed Characteristics Influence the Social Network Structure
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    Chapter 36 Dynamic Semantic Network Analysis of Unstructured Text Corpora
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    Chapter 37 Scientific Matchmaker: Collaborator Recommender System
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    Chapter 38 Erratum to: Bagging Prediction for Censored Data: Application for Theatre Demand
Overall attention for this book and its chapters
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Title
Analysis of Images, Social Networks and Texts
Published by
Springer, Cham, January 2017
DOI 10.1007/978-3-319-73013-4
ISBNs
978-3-31-973012-7, 978-3-31-973013-4
Editors

Wil M.P. van der Aalst, Dmitry I. Ignatov, Michael Khachay, Sergei O. Kuznetsov, Victor Lempitsky, Irina A. Lomazova, Natalia Loukachevitch, Amedeo Napoli, Alexander Panchenko, Panos M. Pardalos, Andrey V. Savchenko, Stanley Wasserman

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 136 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 136 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 2%
Student > Master 3 2%
Other 2 1%
Student > Bachelor 1 <1%
Professor > Associate Professor 1 <1%
Other 2 1%
Unknown 124 91%
Readers by discipline Count As %
Computer Science 4 3%
Engineering 2 1%
Mathematics 1 <1%
Biochemistry, Genetics and Molecular Biology 1 <1%
Physics and Astronomy 1 <1%
Other 3 2%
Unknown 124 91%