| 000 | 05399cam a2200493Ii 4500 | ||
|---|---|---|---|
| 003 | OCoLC | ||
| 005 | 20240806130351.0 | ||
| 008 | 210413s2021 sz ob 101 0 eng d | ||
| 020 | _a9783030726102 | ||
| 020 | _a303072610X | ||
| 020 | _z9783030726096 | ||
| 020 | _z3030726096 | ||
| 041 | _aEnglish | ||
| 049 | _aMAIN | ||
| 072 | 7 |
_aUNF _2bicssc |
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| 072 | 7 |
_aCOM021030 _2bisacsh |
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| 072 | 7 |
_aUNF _2thema |
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| 072 | 7 |
_aUYQE _2thema |
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| 082 | 0 | 4 |
_a006.312 _223 _bAAL |
| 111 | 2 |
_aAIST (Conference) _n(9th : _d2020 : _cOnline). |
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| 245 | 1 | 0 |
_aAnalysis of images, social networks and texts : _b9th international conference, AIST 2020, Skolkovo, Moscow, Russia, October 15-16, 2020 : revised selected papers / _cWil M.P. van der Aalst [and fourteen others] (eds.). |
| 246 | 3 | 0 | _aAIST 2020. |
| 260 |
_aCham : _bSpringer, _c2021. |
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| 300 | _a1 online resource. | ||
| 490 | 1 |
_aLecture notes in computer science ; _v12602. |
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| 490 | 1 | _aLNCS sublibrary: SL3 - Information systems and applications, incl. Internet/Web, and HCI. | |
| 500 | _aInternational conference proceedings. | ||
| 504 | _aIncludes bibliographical references and author index. | ||
| 505 | 0 | _aInvited Papers -- Making ML Models Fairer through Explanations: the Case of LimeOut -- RuREBus: a Case Study of Joint Named Entity Recognition and Relation Extraction from e-Government Domain -- On Interpretability and Similarity in Concept-Based Machine Learning -- Natural Language Processing -- DaNetQA: a yes/no Question Answering Dataset for the Russian Language -- Do Topics Make a Metaphor? Topic Modeling for Metaphor Identification and Analysis in Russian -- Metagraph-Based Approach for Neural Text Question Generation -- Abstractive Summarization of Russian News Learning on Quality Media -- RST Discourse Parser for Russian: an Experimental Study of Deep Learning Models -- A Comparative Study of Feature Types for Age-Based Text Classification -- Emotion Classification in Russian: Feature Engineering and Analysis -- Generating Sport Summaries: A Case Study for Russian -- Automatic Generation of Annotated Collection for Recognition of Sentiment Frames -- ELMo and BERT in Semantic Change Detection for Russian -- BERT for Sequence-to-Sequence Multi-Label Text Classification -- Computer Vision -- Deep Learning on Point Clouds for False Positive Reduction at Nodule Detection in Chest CT Scans -- Identifying User Interests and Habits Using Object Detection and Semantic Segmentation Models -- Semi-Automatic Manga Colorization Using Conditional Adversarial Networks -- Automated Image and Video Quality Assessment for Computational Video Editing -- An Ensemble-based Classifier of Photographs of Commercial Buildings Facades -- Social Network Analysis -- Linking Friends in Social Networks using HashTag Attributes -- Emotional Analysis of Russian Texts Using Emojis in Social Networks -- Community Detection Based on the Nodes Role in a Network: the Telegram Platform Case -- Study Of Strategies For Disseminating Information In Social Networks Using Simulation Tools -- Data Analysis and Machine Learning -- Advanced Data Recognition Technique for Real-Time and Monitoring Systems -- Human Action Recognition for Boxing Training Simulator -- Bayesian Filtering in a Latent Space to Predict Bank Net Income from Acquiring -- Gradient-Based Adversarial Attacks on Categorical Sequence Models via Traversing an Embedded World -- Russia on the Global Artificial Intelligence Scene -- New Properties Of The Data Distillation Method When Working With Tabular Data -- Unsupervised Anomaly Detection for Semi-Structured Sequence Healthcare Data -- Theoretical Machine Learning and Optimization -- Lower Bound Polynomial Fast Procedure for the Resource-Constrained Project Scheduling Problem Tested on PSPLIB Instances -- Fast Approximation Algorithms for Stabbing Special Families of Line Segments with Equal Disks -- Process Mining -- Checking Conformance between Colored Petri Nets and Event Logs -- Data and Reference Semantic-Based Simulator of DB-nets with the Use of Renew Tool. . | |
| 506 | _aAccess restricted to subscribing institutions. | ||
| 520 | _aThis book constitutes revised selected papers from the 9th International Conference on Analysis of Images, Social Networks and Texts, AIST 2020, held during October 15-16, 2020. The conference was planned to take place in Moscow, Russia, but changed to an online format due to the COVID-19 pandemic. The 27 full papers and 4 short papers presented in this volume were carefully reviewed and selected from a total of 108 qualified submissions. The papers are organized in topical sections as follows: invited papers; natural language processing; computer vision; social network analysis; data analysis and machine learning; theoretical machine learning and optimization; and process mining. . | ||
| 650 | 0 | _aData mining | |
| 650 | 0 | _aImage processing | |
| 650 | 0 | _vCongresses. | |
| 650 | 0 |
_xDigital techniques _vCongresses. |
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| 700 | 1 | _aAalst, Wil van der, | |
| 700 | 1 | _eeditor. | |
| 830 | 0 |
_aLecture notes in computer science ; _v12602. |
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| 830 | 0 |
_aLNCS sublibrary. _nSL 3, _pInformation systems and applications, incl. Internet/Web, and HCI. |
|
| 856 | 4 | 0 | _uhttps://ezproxy.lib.gla.ac.uk/login?url=https://link.springer.com/10.1007/978-3-030-72610-2 |
| 856 | 4 | 0 | _zConnect to e-book |
| 907 | _a.b3769666x | ||
| 942 |
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| 999 |
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