Información del autor
Autor Tutubalina, Elena |
Documentos disponibles escritos por este autor (4)
Crear una solicitud de compra Refinar búsquedaAnalysis of Images, Social Networks and Texts / van der Aalst, Wil M. P. ; Batagelj, Vladimir ; Ignatov, Dmitry I. ; Khachay, Michael ; Kuskova, Valentina ; Kutuzov, Andrey ; Kuznetsov, Sergei O. ; Lomazova, Irina A. ; Loukachevitch, Natalia ; Napoli, Amedeo ; Pardalos, Panos M. ; Pelillo, Marcello ; Savchenko, Andrey V. ; Tutubalina, Elena
TÃtulo : Analysis of Images, Social Networks and Texts : 8th International Conference, AIST 2019, Kazan, Russia, July 17–19, 2019, Revised Selected Papers / Tipo de documento: documento electrónico Autores: van der Aalst, Wil M. P., ; Batagelj, Vladimir, ; Ignatov, Dmitry I., ; Khachay, Michael, ; Kuskova, Valentina, ; Kutuzov, Andrey, ; Kuznetsov, Sergei O., ; Lomazova, Irina A., ; Loukachevitch, Natalia, ; Napoli, Amedeo, ; Pardalos, Panos M., ; Pelillo, Marcello, ; Savchenko, Andrey V., ; Tutubalina, Elena, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2019 Número de páginas: XXX, 426 p. 238 ilustraciones, 87 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-37334-4 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Procesamiento de datos Visión por computador Inteligencia artificial Gestión de base de datos Ciencias sociales MinerÃa de datos y descubrimiento de conocimientos Aplicación informática en ciencias sociales y del comportamiento. Clasificación: 6.312 Resumen: Este libro constituye las actas posteriores a la 8.ª Conferencia Internacional sobre Análisis de Imágenes, Redes Sociales y Textos, AIST 2019, celebrada en Kazán, Rusia, en julio de 2019. Los 27 artÃculos completos y 8 artÃculos breves fueron cuidadosamente revisados ​​y seleccionados entre 134 envÃos (de los cuales 21 artÃculos fueron rechazados automáticamente sin ser revisados). Los artÃculos están organizados en secciones temáticas sobre temas generales de análisis de datos; procesamiento natural del lenguaje; análisis de redes sociales; análisis de imágenes y vÃdeo; problemas de optimización en gráficos y estructuras de redes; y análisis del comportamiento dinámico a través de datos de eventos. Nota de contenido: Invited Opinion Talk -- Double-blind peer-reviewing and inclusiveness in Russian NLP conferences -- Tutorial -- Intel® Distribution of OpenVINOâ„¢ toolkit: a case study of semantic Segmentation -- General Topics of Data Analysis -- Experimental Analysis of Approaches to Multidimensional Conditional Density Estimation -- Histogram-based algorithm for building gradient boosting ensembles of piecewise linear decision trees -- Deep Reinforcement Learning in Match-3 Game -- Distance in Geographic and Characteristics Space for Real Estate Price Prediction -- Fast Nearest-Neighbor Classifier based on Sequential Analysis of Principal Components -- A Simple Method to Evaluate Support Size and Non-uniformity of a Decoder-Based Generative Model -- Natural Language Processing -- Biomedical Entities Impact on Rating Prediction for Psychiatric Drugs -- Combining Neural Language Models for WordSense Induction -- Log-based Reading Speed Prediction: a Case Study on War and Peace -- Cross-lingual argumentation mining for Russian texts -- Dynamic Topic Models for Retrospective Event Detection: A Study on Soviet Opposition-Leaning Media -- Deep Embeddings for Brand Detection in Product Titles -- Wear the Right Head: Comparing Strategies for Encoding Sentences for Aspects Extraction -- Combined Advertising Sign Classifier -- A comparison of algorithms for detection of "figurativeness" in metaphor, irony and puns -- Authorship Attribution in Russian with New High-Performing and Fully Interpretable Morpho-Syntactic Features -- Evaluation of Sentence Embedding Models for Natural Language Understating Problems in Russian -- Noun Compositionality Detection using Distributional Semantics for the Russian Language -- Deep JEDi: Deep Joint Entity Disambiguation to Wikipedia for Russian -- Selecting an optimal feature set for stance detection -- Social network analysis -- Analysis of Students Educational Interests Using Social Networks Data -- Multilevel Exponential Random Graph Models Application to Civil Participation Studies -- The Entity Name Identification in Classification Algorithm: Testing the Advocacy Coalition Framework by Document Analysis (the Case of Russian Civil Society Policy) -- Analysis of Images and Video -- Multi-label Image Set Recognition in Visually-Aware Recommender Systems -- Input simplifying as an approach for improving neural network efficiency -- American and Russian Sign Language Dactyl Recognition and Text2Sign Translation -- Data augmentation with GAN: improving chest X-rays pathologies prediction on class-imbalanced cases -- Estimation of non-radial geometric distortions for dash cams -- On Expert-defined versus Learned Hierarchies for Image Classification -- A switching morphological algorithm for depth map recovery -- Learning to Approximate Directional Fields Defined over 2D Planes -- Optimization Problems on Graphs and Network Structures -- Fast and Exact Algorithms for Some NP-Hard 2-Clustering Problems in the One-Dimensional Case.-Efficient PTAS for the Euclidean Capacitated Vehicle Routing Problem with non-uniform non-splittable demand -- Analysis of Dynamic Behavior Through Event Data -- Detection of Anomalies in the Criminal Proceedings Based on the Analysis of Event Logs -- Method to Improve Workow Net Decomposition for Process Model Repair. Tipo de medio : Computadora Summary : This book constitutes the post-conference proceedings of the 8th International Conference on Analysis of Images, Social Networks and Texts, AIST 2019, held in Kazan, Russia, in July 2019. The 27 full and 8 short papers were carefully reviewed and selected from 134 submissions (of which 21 papers were automatically rejected without being reviewed). The papers are organized in topical sections on general topics of data analysis; natural language processing; social network analysis; analysis of images and video; optimization problems on graphs and network structures; and analysis of dynamic behavior through event data. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Analysis of Images, Social Networks and Texts : 8th International Conference, AIST 2019, Kazan, Russia, July 17–19, 2019, Revised Selected Papers / [documento electrónico] / van der Aalst, Wil M. P., ; Batagelj, Vladimir, ; Ignatov, Dmitry I., ; Khachay, Michael, ; Kuskova, Valentina, ; Kutuzov, Andrey, ; Kuznetsov, Sergei O., ; Lomazova, Irina A., ; Loukachevitch, Natalia, ; Napoli, Amedeo, ; Pardalos, Panos M., ; Pelillo, Marcello, ; Savchenko, Andrey V., ; Tutubalina, Elena, . - 1 ed. . - [s.l.] : Springer, 2019 . - XXX, 426 p. 238 ilustraciones, 87 ilustraciones en color.
ISBN : 978-3-030-37334-4
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Procesamiento de datos Visión por computador Inteligencia artificial Gestión de base de datos Ciencias sociales MinerÃa de datos y descubrimiento de conocimientos Aplicación informática en ciencias sociales y del comportamiento. Clasificación: 6.312 Resumen: Este libro constituye las actas posteriores a la 8.ª Conferencia Internacional sobre Análisis de Imágenes, Redes Sociales y Textos, AIST 2019, celebrada en Kazán, Rusia, en julio de 2019. Los 27 artÃculos completos y 8 artÃculos breves fueron cuidadosamente revisados ​​y seleccionados entre 134 envÃos (de los cuales 21 artÃculos fueron rechazados automáticamente sin ser revisados). Los artÃculos están organizados en secciones temáticas sobre temas generales de análisis de datos; procesamiento natural del lenguaje; análisis de redes sociales; análisis de imágenes y vÃdeo; problemas de optimización en gráficos y estructuras de redes; y análisis del comportamiento dinámico a través de datos de eventos. Nota de contenido: Invited Opinion Talk -- Double-blind peer-reviewing and inclusiveness in Russian NLP conferences -- Tutorial -- Intel® Distribution of OpenVINOâ„¢ toolkit: a case study of semantic Segmentation -- General Topics of Data Analysis -- Experimental Analysis of Approaches to Multidimensional Conditional Density Estimation -- Histogram-based algorithm for building gradient boosting ensembles of piecewise linear decision trees -- Deep Reinforcement Learning in Match-3 Game -- Distance in Geographic and Characteristics Space for Real Estate Price Prediction -- Fast Nearest-Neighbor Classifier based on Sequential Analysis of Principal Components -- A Simple Method to Evaluate Support Size and Non-uniformity of a Decoder-Based Generative Model -- Natural Language Processing -- Biomedical Entities Impact on Rating Prediction for Psychiatric Drugs -- Combining Neural Language Models for WordSense Induction -- Log-based Reading Speed Prediction: a Case Study on War and Peace -- Cross-lingual argumentation mining for Russian texts -- Dynamic Topic Models for Retrospective Event Detection: A Study on Soviet Opposition-Leaning Media -- Deep Embeddings for Brand Detection in Product Titles -- Wear the Right Head: Comparing Strategies for Encoding Sentences for Aspects Extraction -- Combined Advertising Sign Classifier -- A comparison of algorithms for detection of "figurativeness" in metaphor, irony and puns -- Authorship Attribution in Russian with New High-Performing and Fully Interpretable Morpho-Syntactic Features -- Evaluation of Sentence Embedding Models for Natural Language Understating Problems in Russian -- Noun Compositionality Detection using Distributional Semantics for the Russian Language -- Deep JEDi: Deep Joint Entity Disambiguation to Wikipedia for Russian -- Selecting an optimal feature set for stance detection -- Social network analysis -- Analysis of Students Educational Interests Using Social Networks Data -- Multilevel Exponential Random Graph Models Application to Civil Participation Studies -- The Entity Name Identification in Classification Algorithm: Testing the Advocacy Coalition Framework by Document Analysis (the Case of Russian Civil Society Policy) -- Analysis of Images and Video -- Multi-label Image Set Recognition in Visually-Aware Recommender Systems -- Input simplifying as an approach for improving neural network efficiency -- American and Russian Sign Language Dactyl Recognition and Text2Sign Translation -- Data augmentation with GAN: improving chest X-rays pathologies prediction on class-imbalanced cases -- Estimation of non-radial geometric distortions for dash cams -- On Expert-defined versus Learned Hierarchies for Image Classification -- A switching morphological algorithm for depth map recovery -- Learning to Approximate Directional Fields Defined over 2D Planes -- Optimization Problems on Graphs and Network Structures -- Fast and Exact Algorithms for Some NP-Hard 2-Clustering Problems in the One-Dimensional Case.-Efficient PTAS for the Euclidean Capacitated Vehicle Routing Problem with non-uniform non-splittable demand -- Analysis of Dynamic Behavior Through Event Data -- Detection of Anomalies in the Criminal Proceedings Based on the Analysis of Event Logs -- Method to Improve Workow Net Decomposition for Process Model Repair. Tipo de medio : Computadora Summary : This book constitutes the post-conference proceedings of the 8th International Conference on Analysis of Images, Social Networks and Texts, AIST 2019, held in Kazan, Russia, in July 2019. The 27 full and 8 short papers were carefully reviewed and selected from 134 submissions (of which 21 papers were automatically rejected without being reviewed). The papers are organized in topical sections on general topics of data analysis; natural language processing; social network analysis; analysis of images and video; optimization problems on graphs and network structures; and analysis of dynamic behavior through event data. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Analysis of Images, Social Networks and Texts : 8th International Conference, AIST 2019, Kazan, Russia, July 17–19, 2019, Revised Selected Papers / Tipo de documento: documento electrónico Autores: van der Aalst, Wil M. P., ; Batagelj, Vladimir, ; Ignatov, Dmitry I., ; Khachay, Michael, ; Kuskova, Valentina, ; Kutuzov, Andrey, ; Kuznetsov, Sergei O., ; Lomazova, Irina A., ; Loukachevitch, Natalia, ; Napoli, Amedeo, ; Pardalos, Panos M., ; Pelillo, Marcello, ; Savchenko, Andrey V., ; Tutubalina, Elena, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2020 Número de páginas: XX, 354 p. 197 ilustraciones, 61 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-39575-9 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Procesamiento de datos Aprendizaje automático Software de la aplicacion Ciencias sociales Ordenadores Procesamiento de imágenes Visión por computador MinerÃa de datos y descubrimiento de conocimientos Aplicaciones informáticas y de sistemas de información Aplicación informática en ciencias sociales y del comportamiento. Entornos informáticos Imágenes por computadora visión reconocimiento de patrones y gráficos Clasificación: 6.312 Resumen: Este libro constituye las actas de la 8.ª Conferencia Internacional sobre Análisis de Imágenes, Redes Sociales y Textos, AIST 2019, celebrada en Kazán, Rusia, en julio de 2019. Los 24 artÃculos completos y 10 artÃculos breves fueron cuidadosamente revisados ​​y seleccionados entre 134 presentaciones ( de los cuales 21 trabajos fueron rechazados sin ser revisados). Los artÃculos están organizados en secciones temáticas sobre temas generales de análisis de datos; procesamiento natural del lenguaje; análisis de redes sociales; análisis de imágenes y vÃdeo; problemas de optimización en gráficos y estructuras de redes; Análisis del comportamiento dinámico a través de datos de eventos. Nota de contenido: General Topics of Data Analysis -- Natural Language Processing -- Social Network Analysis -- Analysis of Images and Video -- Optimization Problems on Graphs and Network Structures -- Analysis of Dynamic Behaviour through Event Data. Tipo de medio : Computadora Summary : This book constitutes the proceedings of the 8th International Conference on Analysis of Images, Social Networks and Texts, AIST 2019, held in Kazan, Russia, in July 2019. The 24 full papers and 10 short papers were carefully reviewed and selected from 134 submissions (of which 21 papers were rejected without being reviewed). The papers are organized in topical sections on general topics of data analysis; natural language processing; social network analysis; analysis of images and video; optimization problems on graphs and network structures; analysis of dynamic behaviour through event data. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Analysis of Images, Social Networks and Texts : 8th International Conference, AIST 2019, Kazan, Russia, July 17–19, 2019, Revised Selected Papers / [documento electrónico] / van der Aalst, Wil M. P., ; Batagelj, Vladimir, ; Ignatov, Dmitry I., ; Khachay, Michael, ; Kuskova, Valentina, ; Kutuzov, Andrey, ; Kuznetsov, Sergei O., ; Lomazova, Irina A., ; Loukachevitch, Natalia, ; Napoli, Amedeo, ; Pardalos, Panos M., ; Pelillo, Marcello, ; Savchenko, Andrey V., ; Tutubalina, Elena, . - 1 ed. . - [s.l.] : Springer, 2020 . - XX, 354 p. 197 ilustraciones, 61 ilustraciones en color.
ISBN : 978-3-030-39575-9
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Procesamiento de datos Aprendizaje automático Software de la aplicacion Ciencias sociales Ordenadores Procesamiento de imágenes Visión por computador MinerÃa de datos y descubrimiento de conocimientos Aplicaciones informáticas y de sistemas de información Aplicación informática en ciencias sociales y del comportamiento. Entornos informáticos Imágenes por computadora visión reconocimiento de patrones y gráficos Clasificación: 6.312 Resumen: Este libro constituye las actas de la 8.ª Conferencia Internacional sobre Análisis de Imágenes, Redes Sociales y Textos, AIST 2019, celebrada en Kazán, Rusia, en julio de 2019. Los 24 artÃculos completos y 10 artÃculos breves fueron cuidadosamente revisados ​​y seleccionados entre 134 presentaciones ( de los cuales 21 trabajos fueron rechazados sin ser revisados). Los artÃculos están organizados en secciones temáticas sobre temas generales de análisis de datos; procesamiento natural del lenguaje; análisis de redes sociales; análisis de imágenes y vÃdeo; problemas de optimización en gráficos y estructuras de redes; Análisis del comportamiento dinámico a través de datos de eventos. Nota de contenido: General Topics of Data Analysis -- Natural Language Processing -- Social Network Analysis -- Analysis of Images and Video -- Optimization Problems on Graphs and Network Structures -- Analysis of Dynamic Behaviour through Event Data. Tipo de medio : Computadora Summary : This book constitutes the proceedings of the 8th International Conference on Analysis of Images, Social Networks and Texts, AIST 2019, held in Kazan, Russia, in July 2019. The 24 full papers and 10 short papers were carefully reviewed and selected from 134 submissions (of which 21 papers were rejected without being reviewed). The papers are organized in topical sections on general topics of data analysis; natural language processing; social network analysis; analysis of images and video; optimization problems on graphs and network structures; analysis of dynamic behaviour through event data. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : Analysis of Images, Social Networks and Texts : 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. Idioma : Inglés (eng) Palabras clave: Procesamiento de datos Aprendizaje automático Procesamiento del lenguaje natural (Informática) Gestión de base de datos Algoritmos MinerÃa de datos y descubrimiento de conocimientos Procesamiento del lenguaje natural (PNL) Diseño y Análisis de Algoritmos Clasificación: 6.312 Resumen: Este libro constituye una selección revisada de artÃculos 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 lÃnea. formato debido a la pandemia de COVID-19. Los 27 artÃculos completos y 4 artÃculos breves presentados en este volumen fueron cuidadosamente revisados ​​y seleccionados de un total de 108 presentaciones calificadas. Los artÃculos están organizados en secciones temáticas de la siguiente manera: artÃculos invitados; procesamiento natural del lenguaje; visión por computador; análisis de redes sociales; análisis de datos y aprendizaje automático; optimización y aprendizaje automático teórico; y minerÃa 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. . Tipo de medio : Computadora Summary : This 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. . Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] Analysis of Images, Social Networks and Texts : 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.
Idioma : Inglés (eng)
Palabras clave: Procesamiento de datos Aprendizaje automático Procesamiento del lenguaje natural (Informática) Gestión de base de datos Algoritmos MinerÃa de datos y descubrimiento de conocimientos Procesamiento del lenguaje natural (PNL) Diseño y Análisis de Algoritmos Clasificación: 6.312 Resumen: Este libro constituye una selección revisada de artÃculos 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 lÃnea. formato debido a la pandemia de COVID-19. Los 27 artÃculos completos y 4 artÃculos breves presentados en este volumen fueron cuidadosamente revisados ​​y seleccionados de un total de 108 presentaciones calificadas. Los artÃculos están organizados en secciones temáticas de la siguiente manera: artÃculos invitados; procesamiento natural del lenguaje; visión por computador; análisis de redes sociales; análisis de datos y aprendizaje automático; optimización y aprendizaje automático teórico; y minerÃa 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. . Tipo de medio : Computadora Summary : This 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. . Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
TÃtulo : 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 / Tipo de documento: documento electrónico Autores: van der Aalst, Wil M. P., ; Batagelj, Vladimir, ; Buzmakov, Alexey, ; Ignatov, Dmitry I., ; Kalenkova, Anna, ; Khachay, Michael, ; Koltsova, Olessia, ; Kutuzov, Andrey, ; Kuznetsov, Sergei O., ; Lomazova, Irina A., ; Loukachevitch, Natalia, ; Makarov, Ilya, ; 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: XIX, 308 p. 102 ilustraciones, 64 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-71214-3 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés (eng) Palabras clave: Procesamiento de datos Inteligencia artificial Software de la aplicacion Ciencias sociales Gestión de base de datos Sistemas de almacenamiento y recuperación de información. MinerÃa de datos y descubrimiento de conocimientos Aplicaciones informáticas y de sistemas de información Aplicación informática en ciencias sociales y del comportamiento. Almacenamiento y recuperación de información Clasificación: 6.312 Resumen: Este libro constituye una selección revisada de artÃculos de la 9.ª Conferencia Internacional sobre Análisis de Imágenes, Redes Sociales y Textos, AIST 2020, celebrada en Moscú, Rusia, en octubre de 2020. Debido a la pandemia de COVID-19, la conferencia se celebró en lÃnea. Los 14 artÃculos completos, 9 artÃculos breves y 4 artÃculos tipo póster fueron cuidadosamente revisados ​​y seleccionados entre 108 presentaciones calificadas. Los artÃculos están organizados en secciones temáticas sobre procesamiento del lenguaje natural; visión por computador; análisis de redes sociales; análisis de datos y aprendizaje automático; optimización y aprendizaje automático teórico; minerÃa de procesos; carteles. Nota de contenido: Natural Language Processing -- Computer Vision -- Social Network Analysis -- Data Analysis and Machine Learning -- Theoretical Machine Learning and Optimization -- Process Mining -- Posters. Tipo de medio : Computadora Summary : This book constitutes revised selected papers of the 9th International Conference on Analysis of Images, Social Networks and Texts, AIST 2020, held in Moscow, Russia, in october 2020. Due to the COVID-19 pandemic the conference was held online. The 14 full papers, 9 short papers and 4 poster papers were carefully reviewed and selected from 108 qualified submissions. The papers are organized in topical sections on natural language processing; computer vision; social network analysis; data analysis and machine learning; theoretical machine learning and optimization; process mining; posters. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] 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 / [documento electrónico] / van der Aalst, Wil M. P., ; Batagelj, Vladimir, ; Buzmakov, Alexey, ; Ignatov, Dmitry I., ; Kalenkova, Anna, ; Khachay, Michael, ; Koltsova, Olessia, ; Kutuzov, Andrey, ; Kuznetsov, Sergei O., ; Lomazova, Irina A., ; Loukachevitch, Natalia, ; Makarov, Ilya, ; Napoli, Amedeo, ; Panchenko, Alexander, ; Pardalos, Panos M., ; Pelillo, Marcello, ; Savchenko, Andrey V., ; Tutubalina, Elena, . - 1 ed. . - [s.l.] : Springer, 2021 . - XIX, 308 p. 102 ilustraciones, 64 ilustraciones en color.
ISBN : 978-3-030-71214-3
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Idioma : Inglés (eng)
Palabras clave: Procesamiento de datos Inteligencia artificial Software de la aplicacion Ciencias sociales Gestión de base de datos Sistemas de almacenamiento y recuperación de información. MinerÃa de datos y descubrimiento de conocimientos Aplicaciones informáticas y de sistemas de información Aplicación informática en ciencias sociales y del comportamiento. Almacenamiento y recuperación de información Clasificación: 6.312 Resumen: Este libro constituye una selección revisada de artÃculos de la 9.ª Conferencia Internacional sobre Análisis de Imágenes, Redes Sociales y Textos, AIST 2020, celebrada en Moscú, Rusia, en octubre de 2020. Debido a la pandemia de COVID-19, la conferencia se celebró en lÃnea. Los 14 artÃculos completos, 9 artÃculos breves y 4 artÃculos tipo póster fueron cuidadosamente revisados ​​y seleccionados entre 108 presentaciones calificadas. Los artÃculos están organizados en secciones temáticas sobre procesamiento del lenguaje natural; visión por computador; análisis de redes sociales; análisis de datos y aprendizaje automático; optimización y aprendizaje automático teórico; minerÃa de procesos; carteles. Nota de contenido: Natural Language Processing -- Computer Vision -- Social Network Analysis -- Data Analysis and Machine Learning -- Theoretical Machine Learning and Optimization -- Process Mining -- Posters. Tipo de medio : Computadora Summary : This book constitutes revised selected papers of the 9th International Conference on Analysis of Images, Social Networks and Texts, AIST 2020, held in Moscow, Russia, in october 2020. Due to the COVID-19 pandemic the conference was held online. The 14 full papers, 9 short papers and 4 poster papers were carefully reviewed and selected from 108 qualified submissions. The papers are organized in topical sections on natural language processing; computer vision; social network analysis; data analysis and machine learning; theoretical machine learning and optimization; process mining; posters. Enlace de acceso : https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...]
