Recent trends in analysis of images, social networks and texts : 9th International Conference, AIST 2020, Skolkovo, Moscow, Russia, October 15-16, 2020 revised supplementary proceedings / / Wil M. P. van der Aalst [and seventeen others] (editors)

• Pubblicazione: Cham, Switzerland : , : Springer, , [2021]; ©2021
• Descrizione fisica: 1 online resource (xix, 308 pages) : illustrations
• Disciplina: 006.3
• Soggetto topico: Data mining; Image processing - Digital techniques
• Persona (resp. second.): AalstWil van der
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Intro -- Preface -- Organisation -- Contents -- Natural Language Processing -- Did You Just Assume My Vector? Detecting Gender Stereotypes in Word Embeddings -- 1 Introduction -- 2 Gender Bias in Word Embeddings -- 2.1 Related Work -- 2.2 Evaluation Metrics -- 3 Comparison -- 4 Conclusions and Future Work -- References -- Detecting Automatically Managed Accounts in Online Social Networks: Graph Embeddings Approach -- 1 Introduction -- 2 Related Work -- 2.1 Labeled Datasets -- 2.2 Existing Approaches -- 2.3 Graph Embeddings -- 3 Proposed Approach -- 3.1 Dataset Generation -- 3.2 Selected Features -- 3.3 Graph Embeddings -- 3.4 Classification -- 4 Experiment -- 4.1 Classification on Account Features -- 4.2 Classification on Node2Vec Graph Embeddings -- 4.3 Joint Graph Structure and Account Features Learning -- 4.4 Classification on Concatenated Node2Vec Embeddings and Account Features -- 5 Conclusions -- References -- Semantic Recommendation System for Bilingual Corpus of Academic Papers -- 1 Introduction -- 2 Related Work -- 3 Experimental Setup -- 3.1 Data -- 3.2 Methods -- 3.3 Evaluation Setup -- 4 Results and Discussion -- 4.1 Quantitative Results -- 4.2 Examples of Relevant Recommendations -- 4.3 Cross-lingual Recommendations -- 4.4 Testing on the Wikipedia Dataset -- 4.5 Analysing Coverage -- 5 Conclusions and Future Work -- References -- Prediction of News Popularity via Keywords Extraction and Trends Tracking -- 1 Introduction -- 2 Related Work -- 3 Dataset -- 3.1 Data Collection -- 3.2 Dataset Information -- 3.3 Data Preprocessing -- 4 Methodology -- 4.1 Keyword Extraction -- 4.2 Popularity Forecasting -- 4.3 Full Prediction Pipeline -- 4.4 Comparable Approaches -- 5 Experiments and Results -- 5.1 Metrics -- 5.2 Keyword Extraction -- 5.3 Popularity Forecasting -- 6 Conclusion -- References -- Methods for Verification of Sentiment Frames. ; 1 Introduction -- 2 Related Work -- 2.1 Structured Sentiment Resources -- 2.2 Crowdsourcing in Sentiment Analysis -- 3 RuSentiFrames Lexicon -- 4 Verification Procedures -- 4.1 Previous Experiments for Checking Sentiment Frames -- 4.2 New Verification Procedures -- 4.3 Sentence Analysis -- 4.4 Verification via Crowdsourcing -- 5 Conclusion -- References -- Investigating the Robustness of Reading Difficulty Models for Russian Educational Texts -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Data Collection and Sampling -- 3.2 Evaluation of Recent Readability Formulas for Russian -- 3.3 Introducing a Feature Set -- 3.4 Feature Selection -- 4 Results -- 4.1 Evaluation of the Models -- 4.2 Analysis of Selected Features -- 5 Discussion -- 6 Conclusion -- References -- A Multi-task Learning Approach to Text Simplification -- 1 Introduction -- 2 Related Work -- 3 Data -- 4 Preprocessing -- 5 Models -- 6 Evaluation -- 7 Conclusion -- References -- Federated Learning in Named Entity Recognition -- 1 Introduction -- 2 Related Work -- 3 Dataset and Metrics -- 4 Baseline Model -- 5 Federated Approach -- 5.1 Experiments -- 5.2 Results -- 6 Conclusion -- References -- E-hypertext Media Topic Model with Automatic Label Assignment -- 1 Introduction -- 2 E-hypertext Media Topic Model -- 3 Approaches to Topic Labelling -- 4 Our Approach to Topic Labelling -- 4.1 Topic Labelling Using Yandex -- 4.2 Topic Labelling by Means of ESA -- 5 Experiments on Topic Labelling for the E-hypertext Media Corpus -- 5.1 Experimental Procedure -- 5.2 Evaluation of Results -- 6 Discussion -- 7 Summary -- References -- Convolutional Variational Autoencoders for Spectrogram Compression in Automatic Speech Recognition -- 1 Introduction -- 2 Traditional Audio Features for ASR/TTS Tasks -- 2.1 Raw Wave -- 2.2 Spectrogram -- 2.3 MFCC -- 3 Audio VAE -- 3.1 Architecture. ; 3.2 Dataset -- 3.3 Reconstruction -- 3.4 Generation -- 4 Experiments -- 4.1 Dataset -- 4.2 Architecture -- 4.3 Results -- 5 Conclusions -- References -- Computer Vision -- Unsupervised Training of Denoising Networks -- 1 Introduction -- 2 Related Works -- 3 Dataset -- 3.1 Collecting Dataset -- 3.2 Analysing Dataset -- 4 Method -- 5 Architecture -- 5.1 Base Architecture Block -- 5.2 Architecture with Frequency Components Splitting -- 6 Training -- 7 Inference -- 8 Results -- 9 Summary -- References -- Efficient Group-Based Cohesion Prediction in Images Using Facial Descriptors -- 1 Introduction -- 2 Proposed Approach -- 3 Experiments -- 4 Conclusion -- References -- Automatic Grading of Knee Osteoarthritis from Plain Radiographs Using Densely Connected Convolutional Networks -- 1 Introduction -- 2 Related Works -- 3 Materials and Methods -- 3.1 Osteoarthritis Grades -- 3.2 Data -- 3.3 Knee Joints Localization -- 3.4 Quantifying Osteoarthritis Severity -- 3.5 Models Ensemble -- 4 Experiments and Results -- 4.1 Knee Joints Detection -- 4.2 The Knee Osteoarthritis Classification on the Kellgren-Lawrence Scale -- 5 Discussion -- 6 Conclusion -- References -- A Novel Approach to Measurement of the Transverse Velocity of the Large-Scale Objects -- 1 Introduction -- 2 Related Works -- 3 Materials and Methods -- 3.1 Input Data -- 3.2 Matching Function -- 3.3 Camera Calibration -- 3.4 Increasing Resolution -- 3.5 Reducing the Search Space Dimension -- 4 Results -- 5 Conclusion -- References -- Social Network Analysis -- How the Minimal Degree of a Social Graph Affects the Efficiency of an Organization -- 1 Introduction -- 2 Definitions -- 3 Upper and Lower Bounds for the Utilization Rate -- 4 Simulation Analysis -- 5 Conclusion -- References -- Data Analysis and Machine Learning. ; Object-Attribute Biclustering for Elimination of Missing Genotypes in Ischemic Stroke Genome-Wide Data -- 1 Introduction -- 2 Basic Notions -- 2.1 Formal Concept Analysis -- 2.2 Biclustering -- 3 Model and Algorithm Description -- 3.1 Parallel OA-Biclustering Algorithm -- 3.2 One-Pass Version of the OA-Biclustering Algorithm -- 3.3 Post-processing Constraints -- 4 Data Collection -- 5 Experiments -- 5.1 Hardware and Software Configuration -- 5.2 Identification of Biclusters with Missing SNPs -- 5.3 Elimination of Large Biclusters with Missing Genotypes -- 5.4 Large Dense Biclusters Elimination and Classification Quality -- 5.5 Detecting Concepts of Missing SNP Values Under Size Constraints -- 6 Conclusion -- References -- Bitcoin Abnormal Transaction Detection Based on Machine Learning -- 1 Introduction -- 2 Review of Approaches to Bitcoin Transaction Analysis -- 3 The Elliptic Dataset -- 4 Bitcoin Abnormal Transaction Detection Based on Machine Learning -- 5 Experiments -- 6 Conclusion -- References -- Commutes and Contagions: Simulating Disease Propagation on Urban Transportation Networks -- 1 Introduction -- 2 Background and Prior Research -- 2.1 Epidemics and COVID-19 -- 2.2 Mathematical Modeling of Epidemics -- 2.3 Epidemics on Transportation Networks -- 2.4 Agent-Based Models -- 2.5 Subway Nomenclature -- 3 Data Sources -- 3.1 London -- 3.2 New York City -- 4 Methodology -- 4.1 MESA -- 4.2 NetworkX -- 4.3 Modeling Framework -- 4.4 Special Considerations for Subways -- 4.5 SubwayModel -- 4.6 Hyper-parameters and Values -- 4.7 Algorithmic Description -- 5 Fitting and Results -- 5.1 Choosing Epidemiological Characteristics -- 5.2 Fitting to SEIR -- 5.3 Comparison by Localities -- 5.4 Results Summary -- 6 Discussion and Further Research -- 6.1 Additional Parameters -- 6.2 Other Modeling Improvements -- 7 Conclusion -- References. ; Interpretation of 3D CNNs for Brain MRI Data Classification -- 1 Introduction -- 2 Data -- 3 Methods -- 3.1 Morphometry Data Analysis and Interpretation -- 3.2 Full-Size Data Analysis: 3D CNN -- 3.3 3D CNN Interpretation -- 4 Results -- 4.1 Morphometry Data -- 4.2 3D CNN Model Results -- 4.3 Meaningful Perturbations for 3D CNN -- 4.4 Guided Back-Propagation for 3D CNN -- 4.5 Grad CAM for 3D CNN -- 5 Discussion -- 6 Conclusion -- A The First Hidden Layer of 3D CNN Attention Analysis -- References -- A Comparison of Neural Networks Architectures for Diacritics Restoration -- 1 Introduction -- 2 Overview -- 3 Experimental Setup -- 3.1 Used Data and Data Preparation -- 3.2 Used Architectures -- 4 Results of Experiments -- 5 Conclusion -- References -- Theoretical Machine Learning and Optimization -- On Asymptotically Optimal Solvability of Euclidean Max m-k-Cycles Cover Problem -- 1 Introduction -- 2 Related Works -- 3 Preliminary Facts -- 4 Description of the Algorithm A -- 5 Algorithm Analysis -- 6 Conclusion -- References -- An Effective Algorithm for the Three-Stage Facility Location Problem on a Tree-Like Network -- 1 Introduction -- 2 The General Formulation and Definitions -- 3 Main Statements -- 4 Description of the Algorithm -- 5 The Algorithms -- 6 Conclusion -- References -- Process Mining -- Educational Data Mining for Prediction of Academically Risky Students Depending on Their Temperament -- 1 Introduction -- 2 Obtaining and Processing Data -- 3 Methods -- 3.1 Finding Meaningful Parameters -- 3.2 Comparison of Classification Using the kNN Method and the Decision Tree -- 4 Research Results -- 5 Conclusion -- References -- Posters -- The Information-Analytical Bot Detection System Based on the Assembly of Classifiers -- Abstract -- 1 Summary -- References -- Machine Learning Methods for Demographic Data Analysis -- 1 Summary -- References. ; International Trade of Wood: Stability Issues Within Network Paradigm.
• Titolo autorizzato: Recent trends in analysis of images, social networks and texts
• ISBN: 3-030-71214-1
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 996464405103316
• Lo trovi qui: Univ. di Salerno
• Serie: Communications in computer and information science ; ; 1357.