Título :	9th International Conference, AIST 2020, Skolkovo, Moscow, Russia, October 15–16, 2020, Revised Selected Papers
Tipo de documento:	documento electrónico
Autores:	van der Aalst, Wil M. P., ; Batagelj, Vladimir, ; Ignatov, Dmitry I., ; Khachay, Michael, ; Koltsova, Olessia, ; Kutuzov, Andrey, ; Kuznetsov, Sergei O., ; Lomazova, Irina A., ; Loukachevitch, Natalia, ; Napoli, Amedeo, ; Panchenko, Alexander, ; Pardalos, Panos M., ; Pelillo, Marcello, ; Savchenko, Andrey V., ; Tutubalina, Elena,
Mención de edición:	1 ed.
Editorial:	[s.l.] : Springer
Fecha de publicación:	2021
Número de páginas:	XXIV, 468 p. 29 ilustraciones, 1 ilustraciones en color.
ISBN/ISSN/DL:	978-3-030-72610-2
Nota general:	Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Palabras clave:	Procesamiento de datos  Aprendizaje automático  Procesamiento del lenguaje natural (Informática)  Gestión de base de datos  Algoritmos  Minería de datos y descubrimiento de conocimientos  Procesamiento del lenguaje natural (PNL)  Diseño y Análisis de Algoritmos
Índice Dewey:	6.312
Resumen:	Este libro constituye una selección revisada de artículos de la 9.ª Conferencia Internacional sobre Análisis de Imágenes, Redes Sociales y Textos, AIST 2020, celebrada del 15 al 16 de octubre de 2020. Se planeó que la conferencia se llevara a cabo en Moscú, Rusia, pero se cambió a una modalidad en línea. formato debido a la pandemia de COVID-19. Los 27 artículos completos y 4 artículos breves presentados en este volumen fueron cuidadosamente revisados ​​y seleccionados de un total de 108 presentaciones calificadas. Los artículos están organizados en secciones temáticas de la siguiente manera: artículos invitados; procesamiento natural del lenguaje; visión por computador; análisis de redes sociales; análisis de datos y aprendizaje automático; optimización y aprendizaje automático teórico; y minería de procesos. .
Nota de contenido:	Invited 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. .
En línea:	https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
Link:	https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i

9th International Conference, AIST 2020, Skolkovo, Moscow, Russia, October 15–16, 2020, Revised Selected Papers [documento electrónico] / van der Aalst, Wil M. P., ; Batagelj, Vladimir, ; Ignatov, Dmitry I., ; Khachay, Michael, ; Koltsova, Olessia, ; Kutuzov, Andrey, ; Kuznetsov, Sergei O., ; Lomazova, Irina A., ; Loukachevitch, Natalia, ; Napoli, Amedeo, ; Panchenko, Alexander, ; Pardalos, Panos M., ; Pelillo, Marcello, ; Savchenko, Andrey V., ; Tutubalina, Elena,  . -  1 ed.  . - [s.l.] : Springer, 2021 . - XXIV, 468 p. 29 ilustraciones, 1 ilustraciones en color.
ISBN : 978-3-030-72610-2
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.

Palabras clave:	Procesamiento de datos  Aprendizaje automático  Procesamiento del lenguaje natural (Informática)  Gestión de base de datos  Algoritmos  Minería de datos y descubrimiento de conocimientos  Procesamiento del lenguaje natural (PNL)  Diseño y Análisis de Algoritmos
Índice Dewey:	6.312
Resumen:	Este libro constituye una selección revisada de artículos de la 9.ª Conferencia Internacional sobre Análisis de Imágenes, Redes Sociales y Textos, AIST 2020, celebrada del 15 al 16 de octubre de 2020. Se planeó que la conferencia se llevara a cabo en Moscú, Rusia, pero se cambió a una modalidad en línea. formato debido a la pandemia de COVID-19. Los 27 artículos completos y 4 artículos breves presentados en este volumen fueron cuidadosamente revisados ​​y seleccionados de un total de 108 presentaciones calificadas. Los artículos están organizados en secciones temáticas de la siguiente manera: artículos invitados; procesamiento natural del lenguaje; visión por computador; análisis de redes sociales; análisis de datos y aprendizaje automático; optimización y aprendizaje automático teórico; y minería de procesos. .
Nota de contenido:	Invited 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. .
En línea:	https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
Link:	https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i