Autor Menezes, Ronaldo
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Documentos disponibles escritos por este autor (5)
Hacer una sugerencia Refinar búsqueda20th International Conference, Manchester, UK, November 14–16, 2019, Proceedings, Part I / Yin, Hujun ; Camacho, David ; Tino, Peter ; Tallón-Ballesteros, Antonio J. ; Menezes, Ronaldo ; Allmendinger, Richard
Título : 20th International Conference, Manchester, UK, November 14–16, 2019, Proceedings, Part I 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: XXII, 554 p. 213 ilustraciones, 141 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-33607-3 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 Ingeniería Informática Application software Informática Procesamiento de datos Red informática 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: Orchids Classification Using Spatial Transformer Network with Adaptive Scaling -- Scalable Dictionary Classifiers for Time Series Classification -- Optimization of the numeric and categorical attribute weights in KAMILA mixed data clustering algorithm -- Meaningful Data Sampling for a Faithful Local Explanation Method -- Classifying Prostate Histological Images Using Deep Gaussian Processes on a New Optical Density Granulometry-Based Descriptor -- Adaptive Orthogonal Characteristics of Bio-inspired Neural Networks -- Using Deep Learning for Ordinal Classification of Mobile Marketing User Conversion -- Modeling Data Driven Interactions on Property Graph -- Adaptive Dimensionality Adjustment for Online "Principal Component Analysis" -- Relevance Metric for Counterfactuals Selection in Decision Trees -- Weighted Nearest Centroid Neighbourhood -- The Prevalence of Errors in Machine Learning Experiments -- A Hybrid Model for Fraud Detection on Purchase Orders -- Users Intention based on Twitter Features using Text Analytics -- Mixing hetero- and homogeneous models in weighted ensembles -- A Hybrid Approach to Time Series Classification with Shapelets -- An Ensemble Algorithm Based on Deep Learning for Tuberculosis Classification -- A Data-driven Approach to Automatic Extraction of Professional Figure Profiles from Résumés -- Retrieving and Processing Information from Clinical Algorithm via Formal Concept Analysis -- Comparative Analysis of Approaches to Building Medical Dialog Systems in Russian -- Tracking Position and Status of Electric Control Switches Based on YOLO Detector -- A Self-Generating Prototype method based on Information Entropy used for Condensing Data in Classification Tasks -- Transfer Knowledge between Sub-regions for Traffic Prediction using Deep Learning Method -- Global Q-Learning Approach for Power Allocation in Femtocell Networks -- Deep learning and Sensor Fusion Methods for Studying Gait Changes under Cognitive Load in Males and Females -- Towards a robotic personaltrainer for the elderly -- Image Quality Constrained GAN for Super-Resolution -- Use Case Prediction using Product Reviews Text Classification -- Convolutional Neural Network for Core Sections Identification in Scientific Research Publications -- Knowledge Inference Through Analysis of Human Activities -- Representation Learning of Knowledge Graphs with Multi-scale Capsule Network -- CNNPSP: Pseudouridine Sites Prediction Based on Deep Learning -- A Multimodal Approach to Image Sentiment Analysis -- Joining Items Clustering and Users Clustering for Evidential Collaborative Filtering -- Conditioned Generative Model via Latent Semantic Controlling for Learning Deep Representation of Data -- Toward A Framework for Seasonal Time Series Forecasting Using Clustering -- An Evidential Imprecise Answer Aggregation Approach based on Worker Clustering -- Combining Machine Learning and Classical Optimization Techniques in Vehicle to Vehicle Communication Network -- Adversarial Edit Attacks for Tree Data -- Non-stationary Noise Cancellation Using Deep Autoencoder based on Adversarial Learning -- A Deep Learning-based Surface Defect Inspection System for Smartphone Glass -- Superlinear Speedup of Parallel Population-based Metaheuristics: A Microservices and Container Virtualization Approach -- Active Dataset Generation for Meta-Learning System Quality Improvement -- Do You Really Follow Them? Automatic Detection of Credulous Twitter Users -- User Localization Based on Call Detail Record -- Automatic Ground Truth Dataset Creation for Fake News Detection in Social Media -- Artificial Flora Optimization Algorithm for Task Scheduling in Cloud Computing Environment -- A Significantly Faster Elastic-Ensemble for Time-Series Classification -- ALIME: Autoencoder Based Approach for Local Interpretability -- Detection of Abnormal Load Consumption in the Power Grid Using Clustering and Statistical Analysis -- Deep Convolutional Neural Networks Based on Image Data Augmentation for Visual Object Recognition -- An Efficient Scheme for Prototyping kNN in the Context of Real-Time Human Activity Recognition -- A Novel Recommendation System for Next Feature in Software -- Meta-learning Based Evolutionary Clustering Algorithm -- Fast tree-based classification via homogeneous clustering -- Ordinal equivalence classes for parallel coordinates -- New Internal Clustering Evaluation Index Based on Line Segments -- Threat Identification in Humanitarian Demining using Machine Learning and Spectroscopic Metal Detection. 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 I [documento electrónico] / Yin, Hujun, ; Camacho, David, ; Tino, Peter, ; Tallón-Ballesteros, Antonio J., ; Menezes, Ronaldo, ; Allmendinger, Richard, . - 1 ed. . - [s.l.] : Springer, 2019 . - XXII, 554 p. 213 ilustraciones, 141 ilustraciones en color.
ISBN : 978-3-030-33607-3
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 Ingeniería Informática Application software Informática Procesamiento de datos Red informática 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: Orchids Classification Using Spatial Transformer Network with Adaptive Scaling -- Scalable Dictionary Classifiers for Time Series Classification -- Optimization of the numeric and categorical attribute weights in KAMILA mixed data clustering algorithm -- Meaningful Data Sampling for a Faithful Local Explanation Method -- Classifying Prostate Histological Images Using Deep Gaussian Processes on a New Optical Density Granulometry-Based Descriptor -- Adaptive Orthogonal Characteristics of Bio-inspired Neural Networks -- Using Deep Learning for Ordinal Classification of Mobile Marketing User Conversion -- Modeling Data Driven Interactions on Property Graph -- Adaptive Dimensionality Adjustment for Online "Principal Component Analysis" -- Relevance Metric for Counterfactuals Selection in Decision Trees -- Weighted Nearest Centroid Neighbourhood -- The Prevalence of Errors in Machine Learning Experiments -- A Hybrid Model for Fraud Detection on Purchase Orders -- Users Intention based on Twitter Features using Text Analytics -- Mixing hetero- and homogeneous models in weighted ensembles -- A Hybrid Approach to Time Series Classification with Shapelets -- An Ensemble Algorithm Based on Deep Learning for Tuberculosis Classification -- A Data-driven Approach to Automatic Extraction of Professional Figure Profiles from Résumés -- Retrieving and Processing Information from Clinical Algorithm via Formal Concept Analysis -- Comparative Analysis of Approaches to Building Medical Dialog Systems in Russian -- Tracking Position and Status of Electric Control Switches Based on YOLO Detector -- A Self-Generating Prototype method based on Information Entropy used for Condensing Data in Classification Tasks -- Transfer Knowledge between Sub-regions for Traffic Prediction using Deep Learning Method -- Global Q-Learning Approach for Power Allocation in Femtocell Networks -- Deep learning and Sensor Fusion Methods for Studying Gait Changes under Cognitive Load in Males and Females -- Towards a robotic personaltrainer for the elderly -- Image Quality Constrained GAN for Super-Resolution -- Use Case Prediction using Product Reviews Text Classification -- Convolutional Neural Network for Core Sections Identification in Scientific Research Publications -- Knowledge Inference Through Analysis of Human Activities -- Representation Learning of Knowledge Graphs with Multi-scale Capsule Network -- CNNPSP: Pseudouridine Sites Prediction Based on Deep Learning -- A Multimodal Approach to Image Sentiment Analysis -- Joining Items Clustering and Users Clustering for Evidential Collaborative Filtering -- Conditioned Generative Model via Latent Semantic Controlling for Learning Deep Representation of Data -- Toward A Framework for Seasonal Time Series Forecasting Using Clustering -- An Evidential Imprecise Answer Aggregation Approach based on Worker Clustering -- Combining Machine Learning and Classical Optimization Techniques in Vehicle to Vehicle Communication Network -- Adversarial Edit Attacks for Tree Data -- Non-stationary Noise Cancellation Using Deep Autoencoder based on Adversarial Learning -- A Deep Learning-based Surface Defect Inspection System for Smartphone Glass -- Superlinear Speedup of Parallel Population-based Metaheuristics: A Microservices and Container Virtualization Approach -- Active Dataset Generation for Meta-Learning System Quality Improvement -- Do You Really Follow Them? Automatic Detection of Credulous Twitter Users -- User Localization Based on Call Detail Record -- Automatic Ground Truth Dataset Creation for Fake News Detection in Social Media -- Artificial Flora Optimization Algorithm for Task Scheduling in Cloud Computing Environment -- A Significantly Faster Elastic-Ensemble for Time-Series Classification -- ALIME: Autoencoder Based Approach for Local Interpretability -- Detection of Abnormal Load Consumption in the Power Grid Using Clustering and Statistical Analysis -- Deep Convolutional Neural Networks Based on Image Data Augmentation for Visual Object Recognition -- An Efficient Scheme for Prototyping kNN in the Context of Real-Time Human Activity Recognition -- A Novel Recommendation System for Next Feature in Software -- Meta-learning Based Evolutionary Clustering Algorithm -- Fast tree-based classification via homogeneous clustering -- Ordinal equivalence classes for parallel coordinates -- New Internal Clustering Evaluation Index Based on Line Segments -- Threat Identification in Humanitarian Demining using Machine Learning and Spectroscopic Metal Detection. 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
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
Título : Complex Networks VIII : Proceedings of the 8th Conference on Complex Networks CompleNet 2017 Tipo de documento: documento electrónico Autores: Gonçalves, Bruno, ; Menezes, Ronaldo, ; Sinatra, Roberta, ; Zlatic, Vinko, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2017 Número de páginas: XIV, 262 p. 88 ilustraciones, 75 ilustraciones en color. ISBN/ISSN/DL: 978-3-319-54241-6 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Palabras clave: Teoría de grafos Sociología Inteligencia Computacional Inteligencia artificial Dinámica Teorías no lineales Métodos sociológicos Sistemas Dinámicos Aplicados Índice Dewey: 511.5 Resumen: Este libro recopila los trabajos presentados en la 8.ª Conferencia Internacional sobre Redes Complejas (CompleNet) 2017 en Dubrovnik, Croacia, del 21 al 24 de marzo de 2017. CompleNet tiene como objetivo reunir a investigadores y profesionales que trabajan en áreas relacionadas con redes complejas. Las últimas dos décadas han sido testigos de un aumento exponencial en el número de publicaciones dentro de este campo. Desde los sistemas biológicos hasta la informática, desde los sistemas económicos hasta los sociales, las redes complejas se están volviendo omnipresentes en muchos campos de la ciencia. Es esta naturaleza interdisciplinaria de las redes complejas lo que CompleNet pretende abordar. En las últimas décadas se ha visto el surgimiento de redes complejas como lenguaje con el que se puede describir y comprender adecuadamente una amplia gama de fenómenos complejos en campos tan diversos como la física, la informática y la medicina (por nombrar algunos). Este libro proporciona una visión del estado del arte en este campo dinámico y cubre temas como la controlabilidad de la red, la estructura social, el comportamiento en línea, los sistemas de recomendación y la estructura de la red. Nota de contenido: Part I: Theory of Complex Networks -- Second-Order Assortative Mixing in Social Networks -- Network motifs detection using random networks with prescribed subgraph frequencies -- Network motifs detection using random networks with prescribed subgraph frequencies -- Fuzzy Centrality Evaluation in Complex and Multiplex Networks -- Part II: Community Structure -- Enhancing Space-Aware Community Detection Using Degree Constrained Spatial Null Model -- Node-centric community detection in multilayer networks with layer-coverage diversification bias -- Community Detection in Signed Networks Based on Extended Signed Modularity -- Characterising inter and intra-community interactions in link streams using temporal motifs -- Part III: Dynamics of Networks -- Modeling the Impact of Privacy on Information Diffusion in Social Networks -- Evolution Similarity for Dynamic Link Prediction in Longitudinal Networks -- Stochastic Modeling of the Decay Dynamics of Online Social Networks -- Part IV: Applications of Network Science -- Complex Reaction Network in Silane Plasma Chemistry -- Seeing Red: Locating People of Interest in Networks -- Understanding Subject-based Emoji Usage using Network Science -- Characterization of Written Languages using Structural Features from Common Corpora -- Optimal Information Security Investment in Modern Social Networking -- Part V: Social Structure -- Emergence of social balance in signed networks -- Community Detection in the Network of German Princes in 1225: a Case Study -- Comparative topological signatures of growing collaboration networks -- Part VI: Human Behavior -- Explaining changes in physical activity through a computational model of social contagion -- Everyday the Same Picture: Popularity and Content Diversity -- Part VII: Biological Networks -- Investigating side effect modules in the interactome and their use in drug adverse effect discovery -- Attractor Analysis of the Asynchronous Boolean Model of the Klotho Gene Regulatory Network. 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 Complex Networks VIII : Proceedings of the 8th Conference on Complex Networks CompleNet 2017 [documento electrónico] / Gonçalves, Bruno, ; Menezes, Ronaldo, ; Sinatra, Roberta, ; Zlatic, Vinko, . - 1 ed. . - [s.l.] : Springer, 2017 . - XIV, 262 p. 88 ilustraciones, 75 ilustraciones en color.
ISBN : 978-3-319-54241-6
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Palabras clave: Teoría de grafos Sociología Inteligencia Computacional Inteligencia artificial Dinámica Teorías no lineales Métodos sociológicos Sistemas Dinámicos Aplicados Índice Dewey: 511.5 Resumen: Este libro recopila los trabajos presentados en la 8.ª Conferencia Internacional sobre Redes Complejas (CompleNet) 2017 en Dubrovnik, Croacia, del 21 al 24 de marzo de 2017. CompleNet tiene como objetivo reunir a investigadores y profesionales que trabajan en áreas relacionadas con redes complejas. Las últimas dos décadas han sido testigos de un aumento exponencial en el número de publicaciones dentro de este campo. Desde los sistemas biológicos hasta la informática, desde los sistemas económicos hasta los sociales, las redes complejas se están volviendo omnipresentes en muchos campos de la ciencia. Es esta naturaleza interdisciplinaria de las redes complejas lo que CompleNet pretende abordar. En las últimas décadas se ha visto el surgimiento de redes complejas como lenguaje con el que se puede describir y comprender adecuadamente una amplia gama de fenómenos complejos en campos tan diversos como la física, la informática y la medicina (por nombrar algunos). Este libro proporciona una visión del estado del arte en este campo dinámico y cubre temas como la controlabilidad de la red, la estructura social, el comportamiento en línea, los sistemas de recomendación y la estructura de la red. Nota de contenido: Part I: Theory of Complex Networks -- Second-Order Assortative Mixing in Social Networks -- Network motifs detection using random networks with prescribed subgraph frequencies -- Network motifs detection using random networks with prescribed subgraph frequencies -- Fuzzy Centrality Evaluation in Complex and Multiplex Networks -- Part II: Community Structure -- Enhancing Space-Aware Community Detection Using Degree Constrained Spatial Null Model -- Node-centric community detection in multilayer networks with layer-coverage diversification bias -- Community Detection in Signed Networks Based on Extended Signed Modularity -- Characterising inter and intra-community interactions in link streams using temporal motifs -- Part III: Dynamics of Networks -- Modeling the Impact of Privacy on Information Diffusion in Social Networks -- Evolution Similarity for Dynamic Link Prediction in Longitudinal Networks -- Stochastic Modeling of the Decay Dynamics of Online Social Networks -- Part IV: Applications of Network Science -- Complex Reaction Network in Silane Plasma Chemistry -- Seeing Red: Locating People of Interest in Networks -- Understanding Subject-based Emoji Usage using Network Science -- Characterization of Written Languages using Structural Features from Common Corpora -- Optimal Information Security Investment in Modern Social Networking -- Part V: Social Structure -- Emergence of social balance in signed networks -- Community Detection in the Network of German Princes in 1225: a Case Study -- Comparative topological signatures of growing collaboration networks -- Part VI: Human Behavior -- Explaining changes in physical activity through a computational model of social contagion -- Everyday the Same Picture: Popularity and Content Diversity -- Part VII: Biological Networks -- Investigating side effect modules in the interactome and their use in drug adverse effect discovery -- Attractor Analysis of the Asynchronous Boolean Model of the Klotho Gene Regulatory Network. 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
Título : Complex Networks XI : Proceedings of the 11th Conference on Complex Networks CompleNet 2020 Tipo de documento: documento electrónico Autores: Barbosa, Hugo, ; Gómez-Gardeñes, Jesús, ; Gonçalves, Bruno, ; Mangioni, Giuseppe, ; Menezes, Ronaldo, ; Oliveira, Marcos, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2020 Número de páginas: XVI, 404 p. 163 ilustraciones, 134 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-40943-2 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Palabras clave: Teoría de grafos Sociología Inteligencia Computacional Dinámica Teorías no lineales Métodos sociológicos Sistemas Dinámicos Aplicados Índice Dewey: 511.5 Resumen: Este libro tiene como objetivo reunir a investigadores y profesionales de diversas disciplinas (desde sociología, biología, física e informática) que comparten la pasión por comprender mejor las interdependencias dentro y entre sistemas. Este volumen contiene contribuciones presentadas en la 11.ª Conferencia Internacional sobre Redes Complejas (CompleNet) en Exeter, Reino Unido, del 31 de marzo al 3 de abril de 2020. CompleNet es un lugar para discutir ideas y hallazgos sobre todo tipo de redes, desde biológicas hasta tecnológicas. a lo informativo y lo social. Es esta naturaleza interdisciplinaria de redes complejas lo que CompleNet pretende explorar y celebrar. Nota de contenido: Part I Theory -- Condensed Graphs: a generic framework for accelerating subgraph census computation -- Group cohesion assessment in networks; Node Classification with Bounded Error Rates -- Assessment of the effectiveness of random and real-networks based on the asymptotic entropy -- Unsupervised Strategies to Network Topology Reconfiguration Optimization with Limited Link Addition -- Embedding of Signed Networks Focusing on Both Structure and Relation -- Power of Nodes Based on Their Interdependence -- Asymmetric Node Similarity Embedding for Directed Graphs -- Consistent Recovery of Communities from Sparse Multi-relational Networks: A Scalable Algorithm with Optimal Recovery Conditions -- Part II Processes -- Zealotry and Influence Maximization in the Voter Model: When to Target Partial Zealots? -- Collective Decision-Making on Triadic Graphs.-Reconstruction of Demand Shocks in Input-Output Networks -- Part III Biomedical Applications -- Boolean Threshold Networks as Models of Genotype-Phenotype Maps -- Subsystem Cooperation in Complex Networks - Case Brain Network -- Network-Based Approach for Modeling and Analyzing Coronary Angiography.-Connecting Neural Reconstruction Integrity (NRI) to Graph Metrics and Biological Priors -- Part IV Social Media Analysis -- Twitter Watch: Leveraging Social Media to Monitor and Predict Collective-Efficacy of Neighborhoods -- A Longitudinal Analysis of Vocabulary Changes in Social Media -- Communities of Human Migration in Social Media: An Experiment in Social -- Demographic analysis of music preferences in streaming service networks -- Part V Mobility Networks -- Comparative Analysis of Store Opening Strategy Based on Movement Behavior Model over Urban Street Networks -- Optimisation of Signal Timings in a Road Network -- Gender Patterns of Human Mobility in Colombia: Reexamining Ravenstein's Laws of Migration -- Dynamic Network of United States Air Transportation at Multiple Levels -- Part VI Economical Networks -- Mining the Automotive Industry: A Network Analysis of Corporate Positioning and Technological Trends -- Finding the Worldwide Industrial Transfer Pattern under the Perspective of Econophysics -- Similarity Analysis in Multilayer Temporal Food Trade Network -- Transactional Compatible Representations for High Value Client Identification: A Financial Case Study -- Part VII Social Problems -- A Complex Network Approach to Structural Inequality of Educational Deprivation in a Latin American country -- Network-Based Delineation of Health Service Areas: A Comparative Analysis of Community Detection Algorithms -- Diversity Analysis Exposes Unexpected key Roles in Multiplex Crime Networks -- Part VIII Science of Science -- Policy-Relevant Science: The Depth and Breadth of Characterizing the Dynamics of Academic Affiliations: A Network Science Approach. 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 Complex Networks XI : Proceedings of the 11th Conference on Complex Networks CompleNet 2020 [documento electrónico] / Barbosa, Hugo, ; Gómez-Gardeñes, Jesús, ; Gonçalves, Bruno, ; Mangioni, Giuseppe, ; Menezes, Ronaldo, ; Oliveira, Marcos, . - 1 ed. . - [s.l.] : Springer, 2020 . - XVI, 404 p. 163 ilustraciones, 134 ilustraciones en color.
ISBN : 978-3-030-40943-2
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Palabras clave: Teoría de grafos Sociología Inteligencia Computacional Dinámica Teorías no lineales Métodos sociológicos Sistemas Dinámicos Aplicados Índice Dewey: 511.5 Resumen: Este libro tiene como objetivo reunir a investigadores y profesionales de diversas disciplinas (desde sociología, biología, física e informática) que comparten la pasión por comprender mejor las interdependencias dentro y entre sistemas. Este volumen contiene contribuciones presentadas en la 11.ª Conferencia Internacional sobre Redes Complejas (CompleNet) en Exeter, Reino Unido, del 31 de marzo al 3 de abril de 2020. CompleNet es un lugar para discutir ideas y hallazgos sobre todo tipo de redes, desde biológicas hasta tecnológicas. a lo informativo y lo social. Es esta naturaleza interdisciplinaria de redes complejas lo que CompleNet pretende explorar y celebrar. Nota de contenido: Part I Theory -- Condensed Graphs: a generic framework for accelerating subgraph census computation -- Group cohesion assessment in networks; Node Classification with Bounded Error Rates -- Assessment of the effectiveness of random and real-networks based on the asymptotic entropy -- Unsupervised Strategies to Network Topology Reconfiguration Optimization with Limited Link Addition -- Embedding of Signed Networks Focusing on Both Structure and Relation -- Power of Nodes Based on Their Interdependence -- Asymmetric Node Similarity Embedding for Directed Graphs -- Consistent Recovery of Communities from Sparse Multi-relational Networks: A Scalable Algorithm with Optimal Recovery Conditions -- Part II Processes -- Zealotry and Influence Maximization in the Voter Model: When to Target Partial Zealots? -- Collective Decision-Making on Triadic Graphs.-Reconstruction of Demand Shocks in Input-Output Networks -- Part III Biomedical Applications -- Boolean Threshold Networks as Models of Genotype-Phenotype Maps -- Subsystem Cooperation in Complex Networks - Case Brain Network -- Network-Based Approach for Modeling and Analyzing Coronary Angiography.-Connecting Neural Reconstruction Integrity (NRI) to Graph Metrics and Biological Priors -- Part IV Social Media Analysis -- Twitter Watch: Leveraging Social Media to Monitor and Predict Collective-Efficacy of Neighborhoods -- A Longitudinal Analysis of Vocabulary Changes in Social Media -- Communities of Human Migration in Social Media: An Experiment in Social -- Demographic analysis of music preferences in streaming service networks -- Part V Mobility Networks -- Comparative Analysis of Store Opening Strategy Based on Movement Behavior Model over Urban Street Networks -- Optimisation of Signal Timings in a Road Network -- Gender Patterns of Human Mobility in Colombia: Reexamining Ravenstein's Laws of Migration -- Dynamic Network of United States Air Transportation at Multiple Levels -- Part VI Economical Networks -- Mining the Automotive Industry: A Network Analysis of Corporate Positioning and Technological Trends -- Finding the Worldwide Industrial Transfer Pattern under the Perspective of Econophysics -- Similarity Analysis in Multilayer Temporal Food Trade Network -- Transactional Compatible Representations for High Value Client Identification: A Financial Case Study -- Part VII Social Problems -- A Complex Network Approach to Structural Inequality of Educational Deprivation in a Latin American country -- Network-Based Delineation of Health Service Areas: A Comparative Analysis of Community Detection Algorithms -- Diversity Analysis Exposes Unexpected key Roles in Multiplex Crime Networks -- Part VIII Science of Science -- Policy-Relevant Science: The Depth and Breadth of Characterizing the Dynamics of Academic Affiliations: A Network Science Approach. 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
Título : Complex Networks XII : Proceedings of the 12th Conference on Complex Networks CompleNet 2021 Tipo de documento: documento electrónico Autores: Teixeira, Andreia Sofia, ; Pacheco, Diogo, ; Oliveira, Marcos, ; Barbosa, Hugo, ; Gonçalves, Bruno, ; Menezes, Ronaldo, Mención de edición: 1 ed. Editorial: [s.l.] : Springer Fecha de publicación: 2021 Número de páginas: VIII, 133 p. 48 ilustraciones, 40 ilustraciones en color. ISBN/ISSN/DL: 978-3-030-81854-8 Nota general: Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Palabras clave: teoría del sistema Teoría de grafos Ciencias de la Computación Inteligencia artificial Sistemas complejos Ciencia de los datos Índice Dewey: 530.1 Teoría y física matemática Resumen: Este libro contiene contribuciones presentadas en la 12.ª Conferencia Internacional sobre Redes Complejas (CompleNet), del 24 al 26 de mayo de 2021. CompleNet es una conferencia internacional sobre redes complejas que reúne a investigadores y profesionales de diversas disciplinas, desde sociología, biología, física e informática. ciencia, que comparten la pasión por comprender mejor las interdependencias dentro y entre sistemas. CompleNet es un lugar para discutir ideas y hallazgos sobre todo tipo de redes, desde biológicas hasta tecnológicas, informativas y sociales. Es esta naturaleza interdisciplinaria de redes complejas lo que CompleNet pretende explorar y celebrar. Nota de contenido: Effects of Hidden Users on Cascade-based Community Detection -- Game of Thieves and WERW-Kpath: Two Novel Measures of Nodes and Edges Centrality for Mafia Networks -- Common Knowledge on Facebook Communication Networks: Models and Experimental Findings -- Logistics Route Planning in Agent-Based Simulation and its Optimization Represented in Higher-Order Markov-Chain Networks -- Degree-Degree Correlation in Networks with Preferential Attachment Based Growth -- On Measuring the Diversity of Organizational Networks -- An Interpretable Graph-based Mapping of Trustworthy Machine Learning Research -- MAVAC: Mapping and Visualization of Academic Collaborations with a Focus on Diversity -- Modelling Damage Propagation in Complex Networks: Life Exists in Half-chaos -- Information Seeking as an Evolutionary Game -- How Correlated are Community-aware and Classical Centrality Measures in Complex Networks?. 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 Complex Networks XII : Proceedings of the 12th Conference on Complex Networks CompleNet 2021 [documento electrónico] / Teixeira, Andreia Sofia, ; Pacheco, Diogo, ; Oliveira, Marcos, ; Barbosa, Hugo, ; Gonçalves, Bruno, ; Menezes, Ronaldo, . - 1 ed. . - [s.l.] : Springer, 2021 . - VIII, 133 p. 48 ilustraciones, 40 ilustraciones en color.
ISBN : 978-3-030-81854-8
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
Palabras clave: teoría del sistema Teoría de grafos Ciencias de la Computación Inteligencia artificial Sistemas complejos Ciencia de los datos Índice Dewey: 530.1 Teoría y física matemática Resumen: Este libro contiene contribuciones presentadas en la 12.ª Conferencia Internacional sobre Redes Complejas (CompleNet), del 24 al 26 de mayo de 2021. CompleNet es una conferencia internacional sobre redes complejas que reúne a investigadores y profesionales de diversas disciplinas, desde sociología, biología, física e informática. ciencia, que comparten la pasión por comprender mejor las interdependencias dentro y entre sistemas. CompleNet es un lugar para discutir ideas y hallazgos sobre todo tipo de redes, desde biológicas hasta tecnológicas, informativas y sociales. Es esta naturaleza interdisciplinaria de redes complejas lo que CompleNet pretende explorar y celebrar. Nota de contenido: Effects of Hidden Users on Cascade-based Community Detection -- Game of Thieves and WERW-Kpath: Two Novel Measures of Nodes and Edges Centrality for Mafia Networks -- Common Knowledge on Facebook Communication Networks: Models and Experimental Findings -- Logistics Route Planning in Agent-Based Simulation and its Optimization Represented in Higher-Order Markov-Chain Networks -- Degree-Degree Correlation in Networks with Preferential Attachment Based Growth -- On Measuring the Diversity of Organizational Networks -- An Interpretable Graph-based Mapping of Trustworthy Machine Learning Research -- MAVAC: Mapping and Visualization of Academic Collaborations with a Focus on Diversity -- Modelling Damage Propagation in Complex Networks: Life Exists in Half-chaos -- Information Seeking as an Evolutionary Game -- How Correlated are Community-aware and Classical Centrality Measures in Complex Networks?. 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
