Título :	20th International Conference, Manchester, UK, November 14–16, 2019, Proceedings, Part II
Tipo de documento:	documento electrónico
Autores:	Yin, Hujun, ; Camacho, David, ; Tino, Peter, ; Tallón-Ballesteros, Antonio J., ; Menezes, Ronaldo, ; Allmendinger, Richard,
Mención de edición:	1 ed.
Editorial:	[s.l.] : Springer
Fecha de publicación:	2019
Número de páginas:	XXI, 364 p. 115 ilustraciones, 86 ilustraciones en color.
ISBN/ISSN/DL:	978-3-030-33617-2
Nota general:	Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Palabras clave:	Inteligencia artificial  Ingeniería Informática y Redes  Aplicaciones informáticas y de sistemas de información  Teoría de la Computación  Computadoras y Educación  Minería de datos y descubrimiento de conocimientos  Red informática  Ingeniería Informática  Application software  Informática  Procesamiento de datos  Educación
Índice Dewey:	6.312
Resumen:	Este conjunto de dos volúmenes de LNCS 11871 y 11872 constituye las actas de la 20.ª Conferencia Internacional sobre Ingeniería de Datos Inteligentes y Aprendizaje Automatizado, IDEAL 2019, celebrada en Manchester, Reino Unido, en noviembre de 2019. Los 94 artículos completos presentados fueron cuidadosamente revisados. y seleccionado entre 149 presentaciones. Estos artículos proporcionaron una muestra oportuna de los últimos avances en ingeniería de datos y aprendizaje automático, desde metodologías, marcos y algoritmos hasta aplicaciones. Los temas centrales de IDEAL 2019 incluyen desafíos de big data, aprendizaje automático, minería de datos, recuperación y gestión de información, bioinformática/neuroinformática, modelos bioinspirados (incluidas redes neuronales, computación evolutiva e inteligencia de enjambre), agentes y sistemas inteligentes híbridos. , aplicaciones del mundo real de técnicas inteligentes e IA.
Nota de contenido:	Special Session on Fuzzy Systems and Intelligent Data Analysis -- Computational Generalization in Taxonomies Applied to: (1) Analyze Tendencies of Research and (2) Extend User Audiences -- Unsupervised Initialization of Archetypal Analysis and Proportional Membership Fuzzy Clustering -- Special Session on Machine Learning towards Smarter Multimodal Systems -- Multimodal Web Based Video Annotator with Real-Time Human Pose Estimation -- New Interfaces for Classifying Performance Gestures in Music -- Special Session on Data Selection in Machine Learning -- Classifying Ransomware Using Machine Learning Algorithms -- Artificial Neural Networks in Mathematical Mini-Games for Automatic Students Learning Styles Identification: A First Approach -- The Use of Unified Activity Records to Predict Requests Made by Applications for External Services -- Fuzzy Clustering Approach to Data Selection for Computer Usage in Headache Disorders -- Multitemporal Aerial Image Registration Using Semantic Features -- Special Session on Machine Learning in Healthcare -- Brain Tumor Classification Using Principal Component Analysis and Kernel Support Vector Machine -- Modelling survival by machine learning methods in liver transplantation: application to the UNOS dataset -- Design and Development of an Automatic Blood Detection System for Capsule Endoscopy Images -- Comparative Analysis for Computer-Based Decision Support: Case Study of Knee Osteoarthritis -- A Clustering-Based Patient Grouper for Burn Care -- A comparative assessment of Feed-Forward and Convolutional Neural Networks for the classification of prostate lesions -- Special Session on Machine Learning in Automatic Control -- A Method based on Filter Bank Common Spatial Pattern for Multiclass Motor Imagery BCI -- Safe Deep Neural Network-driven Autonomous Vehicles Using Software Safety Cages -- Wave and viscous resistance estimation by NN -- Neural controller of UAVs with inertia variations -- Special Session on Financeand Data Mining -- A Metric Framework for quantifying Data Concentration -- Adaptive Machine Learning-Based Stock Prediction using Financial Time Series Technical Indicators -- Special Session on Knowledge Discovery from Data -- Exploiting Online Newspaper Articles Metadata for Profiling City Areas -- Modelling the Social Interactions in Ant Colony Optimization -- An Innovative Deep-Learning Algorithm for Supporting the Approximate Classication of Workloads in Big Data Environments -- Control-flow Business Process Summarization via Activity Contraction -- Classifying Flies Based on Reconstructed Audio Signals -- Studying the Evolution of the 'Circular Economy' Concept using Topic Modelling -- Mining Frequent Distributions in Time Series -- Time Series Display for Knowledge Discovery on Selective Laser Melting Machines -- Special Session on Machine Learning Algorithms for Hard Problems -- Using Prior Knowledge to Facilitate Computational Reading of Arabic Calligraphy -- SMOTE Algorithm Variations in Balancing Data Streams -- Multi-Class Text Complexity Evaluation via Deep Neural Networks -- Imbalance reduction techniques applied to ECG classification problem -- Machine Learning Methods for Fake News Classification -- A genetic-based ensemble learning applied to imbalanced data classification -- The feasibility of deep learning use for adversarial model extraction in the cybersecurity domain.
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

20th International Conference, Manchester, UK, November 14–16, 2019, Proceedings, Part II [documento electrónico] / Yin, Hujun, ; Camacho, David, ; Tino, Peter, ; Tallón-Ballesteros, Antonio J., ; Menezes, Ronaldo, ; Allmendinger, Richard,  . -  1 ed.  . - [s.l.] : Springer, 2019 . - XXI, 364 p. 115 ilustraciones, 86 ilustraciones en color.
ISBN : 978-3-030-33617-2
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.

Palabras clave:	Inteligencia artificial  Ingeniería Informática y Redes  Aplicaciones informáticas y de sistemas de información  Teoría de la Computación  Computadoras y Educación  Minería de datos y descubrimiento de conocimientos  Red informática  Ingeniería Informática  Application software  Informática  Procesamiento de datos  Educación
Índice Dewey:	6.312
Resumen:	Este conjunto de dos volúmenes de LNCS 11871 y 11872 constituye las actas de la 20.ª Conferencia Internacional sobre Ingeniería de Datos Inteligentes y Aprendizaje Automatizado, IDEAL 2019, celebrada en Manchester, Reino Unido, en noviembre de 2019. Los 94 artículos completos presentados fueron cuidadosamente revisados. y seleccionado entre 149 presentaciones. Estos artículos proporcionaron una muestra oportuna de los últimos avances en ingeniería de datos y aprendizaje automático, desde metodologías, marcos y algoritmos hasta aplicaciones. Los temas centrales de IDEAL 2019 incluyen desafíos de big data, aprendizaje automático, minería de datos, recuperación y gestión de información, bioinformática/neuroinformática, modelos bioinspirados (incluidas redes neuronales, computación evolutiva e inteligencia de enjambre), agentes y sistemas inteligentes híbridos. , aplicaciones del mundo real de técnicas inteligentes e IA.
Nota de contenido:	Special Session on Fuzzy Systems and Intelligent Data Analysis -- Computational Generalization in Taxonomies Applied to: (1) Analyze Tendencies of Research and (2) Extend User Audiences -- Unsupervised Initialization of Archetypal Analysis and Proportional Membership Fuzzy Clustering -- Special Session on Machine Learning towards Smarter Multimodal Systems -- Multimodal Web Based Video Annotator with Real-Time Human Pose Estimation -- New Interfaces for Classifying Performance Gestures in Music -- Special Session on Data Selection in Machine Learning -- Classifying Ransomware Using Machine Learning Algorithms -- Artificial Neural Networks in Mathematical Mini-Games for Automatic Students Learning Styles Identification: A First Approach -- The Use of Unified Activity Records to Predict Requests Made by Applications for External Services -- Fuzzy Clustering Approach to Data Selection for Computer Usage in Headache Disorders -- Multitemporal Aerial Image Registration Using Semantic Features -- Special Session on Machine Learning in Healthcare -- Brain Tumor Classification Using Principal Component Analysis and Kernel Support Vector Machine -- Modelling survival by machine learning methods in liver transplantation: application to the UNOS dataset -- Design and Development of an Automatic Blood Detection System for Capsule Endoscopy Images -- Comparative Analysis for Computer-Based Decision Support: Case Study of Knee Osteoarthritis -- A Clustering-Based Patient Grouper for Burn Care -- A comparative assessment of Feed-Forward and Convolutional Neural Networks for the classification of prostate lesions -- Special Session on Machine Learning in Automatic Control -- A Method based on Filter Bank Common Spatial Pattern for Multiclass Motor Imagery BCI -- Safe Deep Neural Network-driven Autonomous Vehicles Using Software Safety Cages -- Wave and viscous resistance estimation by NN -- Neural controller of UAVs with inertia variations -- Special Session on Financeand Data Mining -- A Metric Framework for quantifying Data Concentration -- Adaptive Machine Learning-Based Stock Prediction using Financial Time Series Technical Indicators -- Special Session on Knowledge Discovery from Data -- Exploiting Online Newspaper Articles Metadata for Profiling City Areas -- Modelling the Social Interactions in Ant Colony Optimization -- An Innovative Deep-Learning Algorithm for Supporting the Approximate Classication of Workloads in Big Data Environments -- Control-flow Business Process Summarization via Activity Contraction -- Classifying Flies Based on Reconstructed Audio Signals -- Studying the Evolution of the 'Circular Economy' Concept using Topic Modelling -- Mining Frequent Distributions in Time Series -- Time Series Display for Knowledge Discovery on Selective Laser Melting Machines -- Special Session on Machine Learning Algorithms for Hard Problems -- Using Prior Knowledge to Facilitate Computational Reading of Arabic Calligraphy -- SMOTE Algorithm Variations in Balancing Data Streams -- Multi-Class Text Complexity Evaluation via Deep Neural Networks -- Imbalance reduction techniques applied to ECG classification problem -- Machine Learning Methods for Fake News Classification -- A genetic-based ensemble learning applied to imbalanced data classification -- The feasibility of deep learning use for adversarial model extraction in the cybersecurity domain.
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