| 000 | 08061nam a2200577 i 4500 | ||
|---|---|---|---|
| 999 |
_c334733 _d334733 _x1 |
||
| 001 | 334733 | ||
| 003 | ES-MaUEC | ||
| 005 | 20230102114741.0 | ||
| 006 | a|||| o|||| 10| 0 | ||
| 007 | cr nn nnnaamaa | ||
| 008 | 210408s2021 gw a o |1|| 0|eng d | ||
| 020 | _a9783030726102 | ||
| 024 | 7 |
_a10.1007/978-3-030-72610-2 _2doi |
|
| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
||
| 050 | 4 |
_aQA76.9.D343 _b2021 EB |
|
| 245 | 0 | 0 |
_aAnalysis of Images, Social Networks and Texts : _b9th International Conference, AIST 2020, Skolkovo, Moscow, Russia, October 15-16, 2020, Revised Selected Papers _cedited by Wil M P van der Aalst, Vladimir Batagelj, Dmitry I Ignatov, Michael Khachay, Olessia Koltsova, Andrey Kutuzov, Sergei O Kuznetsov, Irina A Lomazova, Natalia Loukachevitch, Amedeo Napoli, Alexander Panchenko, Panos M Pardalos, Marcello Pelillo, Andrey V Savchenko, Elena Tutubalina |
| 250 | _aFirst edition 2021 | ||
| 264 | 1 |
_aCham, Switzerland _bSpringer International Publising _c2021 |
|
| 300 |
_a1 recurso en línea (XXIV, 468 páginas) _b29 ilustraciones, 1 ilustraciones a color |
||
| 336 |
_2rdacontent _aTexto _btxt |
||
| 337 |
_2rdamedia _aelectrónico _bc |
||
| 338 |
_2rdacarrier _arecurso electrónico _bcr |
||
| 347 |
_atext file _bPDF _2rda |
||
| 490 | 0 |
_aInformation Systems and Applications incl. Internet/Web and HCI _v12602 |
|
| 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. . | |
| 520 | 3 | _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. | |
| 988 | _aSpringer_Computer_2021 | ||
| 650 | 7 |
_2embne _aData mining _vCongresos y asambleas _9162648 |
|
| 650 | 7 |
_2embne _aProceso digital de imágenes _vCongresos y asambleas _9413188 |
|
| 700 | 1 |
_avan der Aalst, Wil M. P _eeditor literario _0(orcid)0000-0002-0955-6940 _1https://orcid.org/0000-0002-0955-6940 _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 700 | 1 |
_aBatagelj, Vladimir _eeditor literario _0(orcid)0000-0002-0240-9446 _1https://orcid.org/0000-0002-0240-9446 _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 700 | 1 |
_aIgnatov, Dmitry I _eeditor literario _0(orcid)0000-0002-6584-8534 _1https://orcid.org/0000-0002-6584-8534 _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 700 | 1 |
_aKhachay, Michael _eeditor literario _0(orcid)0000-0003-3555-0080 _1https://orcid.org/0000-0003-3555-0080 _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 700 | 1 |
_aKoltsova, Olessia _eeditor literario _0(orcid)0000-0002-2669-3154 _1https://orcid.org/0000-0002-2669-3154 _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 700 | 1 |
_aKutuzov, Andrey _eeditor literario _0(orcid)0000-0003-2540-5912 _1https://orcid.org/0000-0003-2540-5912 _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 700 | 1 |
_aKuznetsov, Sergei O _eeditor literario _0(orcid)0000-0003-3284-9001 _1https://orcid.org/0000-0003-3284-9001 _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 700 | 1 |
_aLomazova, Irina A _eeditor literario _0(orcid)0000-0002-9420-3751 _1https://orcid.org/0000-0002-9420-3751 _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 700 | 1 |
_aLoukachevitch, Natalia _eeditor literario _0(orcid)0000-0002-1883-4121 _1https://orcid.org/0000-0002-1883-4121 _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 700 | 1 |
_aNapoli, Amedeo _eeditor literario _0(orcid)0000-0001-5236-9561 _1https://orcid.org/0000-0001-5236-9561 _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 700 | 1 |
_aPanchenko, Alexander _eeditor literario _0(orcid)0000-0001-6097-6118 _1https://orcid.org/0000-0001-6097-6118 _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 700 | 1 |
_aPardalos, Panos M _eeditor literario _0(orcid)0000-0003-2824-101X _1https://orcid.org/0000-0003-2824-101X _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 700 | 1 |
_aPelillo, Marcello _eeditor literario _0(orcid)0000-0001-8992-9243 _1https://orcid.org/0000-0001-8992-9243 _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 700 | 1 |
_aSavchenko, Andrey V _eeditor literario _0(orcid)0000-0001-6196-0564 _1https://orcid.org/0000-0001-6196-0564 _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 700 | 1 |
_aTutubalina, Elena _eeditor literario _0(orcid)0000-0001-7936-0284 _1https://orcid.org/0000-0001-7936-0284 _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 710 | 2 | _aSpringerLink | |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-72610-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
||
| 998 |
_b05/2021 _dz _eb _zSI |
||