| TÃtulo : |
21st International Conference, Guimaraes, Portugal, November 4–6, 2020, Proceedings, Part II |
| Tipo de documento: |
documento electrónico |
| Autores: |
Analide, Cesar, ; Novais, Paulo, ; Camacho, David, ; Yin, Hujun, |
| Mención de edición: |
1 ed. |
| Editorial: |
[s.l.] : Springer |
| Fecha de publicación: |
2020 |
| Número de páginas: |
XXV, 624 p. 193 ilustraciones, 161 ilustraciones en color. |
| ISBN/ISSN/DL: |
978-3-030-62365-4 |
| Nota general: |
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. |
| Palabras clave: |
Entornos informáticos Visión por computador Visión IngenierÃa Informática y Redes Aplicaciones informáticas y de sistemas de información Inteligencia artificial MinerÃa de datos y descubrimiento de conocimientos Ordenador Red informática Ingenier |
| Ãndice Dewey: |
6.312 |
| Resumen: |
Este conjunto de dos volúmenes de LNCS 12489 y 12490 constituye las actas de la 21.ª Conferencia Internacional sobre IngenierÃa de Datos Inteligentes y Aprendizaje Automatizado, IDEAL 2020, celebrada en Guimaraes, Portugal, en noviembre de 2020.* Los 93 artÃculos presentados fueron cuidadosamente revisados y seleccionado entre 134 presentaciones. Estos artÃculos proporcionaron una muestra oportuna de los últimos avances en ingenierÃa de datos y aprendizaje automático, desde metodologÃas, marcos y algoritmos hasta aplicaciones. Los temas centrales de IDEAL 2020 incluyen desafÃos de big data, aprendizaje automático, minerÃa de datos, recuperación y gestión de información, bioinformática/neuroinformática, modelos bioinspirados, agentes y sistemas inteligentes hÃbridos, aplicaciones de técnicas inteligentes en el mundo real e inteligencia artificial. *La conferencia se realizó de manera virtual debido a la pandemia de COVID-19. |
| Nota de contenido: |
Special Session on Data Generation and Data Pre-processing in Machine Learning -- A Preprocessing Approach for Class-imbalanced Data using SMOTE and Belief Function Theory -- Multi-Agent Based Manifold Denoising -- A Novel Evaluation Metric for Synthetic Data Generation -- Data Pre-processing and Data Generation in the Student Flow Case Study -- Enhanced Credit Prediction using Artificial Data -- Data Generation Using Gene Expression Generator -- Stabilisation of Dataset Matrix Form for Classification Dataset Generation and Algorithm Selection -- Special Session on Optimization and Machine Learning for Industry 4.0 -- Distributed Coordination of Heterogeneous Robotic Swarms using Stochastic Diffusion Search -- An Intelligent Procedure for the Methodology of Energy Consumption in Industrial Environments -- Unified Performance Measure for Binary Classification Problems -- Data Augmentation for Industrial Prognosis using Generative Adversarial Networks -- A Comparison of Evolutionary Multi-Objective Optimization Algorithms Applied to Antenna Design -- Special Session on Practical Applications of Deep Learning -- Cloud Type Identification Using Data Fusion and Ensemble Learning -- Deep Learning in Aeronautics: Air Traffic Trajectory Classification Based on Weather Reports -- Analysis of Hand-Crafted and Automatic-Learned Features for Glaucoma Detection Through Raw Circumpapillary OCT Images -- Video Semantics Quality Assessment using Deep Learning -- A Deep Learning Approach for Intelligent Cockpits: Learning Drivers Routines -- Predicting Recurring Telecommunications Customer Support Problems using Deep Learning -- Pre- and Post-processing on Generative Adversarial Networks for Old Photos Restoration: A Case Study -- On Analysing Similarity Knowledge Transfer by Ensembles -- Special Session on New trends and challenges on Social Networks Analysis -- Social Network Recommender System, a Neural Network Approach -- Exploring Multi-objective Cellular Genetic Algorithmsin Community Detection Problems -- Special Session on Machine Learning in Automatic Control -- Under-Actuation Modelling in Robotic Hands via Neural Networks for Sign Language Representation with End-User Validation -- Exploratory Data Analysis of Wind and Waves for Floating Wind Turbines in Santa MarÃa, California -- Wind Turbine Pitch Control First Approach based on Reinforcement Learning -- Intelligent Fuzzy Optimized Control for Energy Extraction in Large Wind Turbines -- Special Session on Emerging Trends in Machine Learning -- Autoencoder Latent Space Influence on IoT MQTT Attack Classification -- A Recommendation System of Nutrition and Physical Activity for Patients with Type 2 Diabetes Mellitus -- A Comparative Analysis between Crisp and Fuzzy Data Clustering Approaches for Traditional and Bioinspired Algorithms -- Bridging the Gap of Neuroscience, Philosophy, and Evolutionary Biology to Propose an Approach to Machine Learning of Human-like Ethics -- Anticipating Maintenance in Telecom Installation Processes -- Meta-Hyperband: Hyperparameter Optimization with Meta-Learning and Coarse-to-Fine -- Stateful Optimization in Federated Learning of Neural Networks -- Talking in Italian about AI with a Chatbot: a Prototype of a Question-Answering Agent -- Review of Trends in Automatic Human Activity Recognition in Vehicle based in Synthetic Data -- Special Session on Machine Learning, Law and Legal Industry -- Intellectual Properties of Artificial Creativity: Dismantling Originality in European's Legal Framework -- Network Analysis for Fraud Detection in Portuguese Public Procurement -- Biased Language Detection in Court Decisions -- Special Session on Machine Learning Algorithms for Hard Problems -- A One-by-One Method for Community Detection in Attributed Networks -- A Hybrid Approach to the Analysis of a Collection of Research Papers -- Sequential Self-tuning Clustering for Automatic Delimitation of Coastal Upwelling on SST Images -- Special Session on Automated learning for industrial applications -- Time Series Clustering for Knowledge Discovery on Metal Additive Manufacturing -- Quaternion Neural Networks: State-of-the-art and Research Challenges -- A Solar Thermal System Temperature Prediction of a Smart Building for Data Recovery and Security Purposes -- A Fault Detection System for Power Cells During Capacity Confirmation Test Through a Global One-Class Classifier -- A Deep Metric Neural Network with Disentangled Representation for Detecting Smartphone Glass Defects -- Improving Performance of Recommendation System Architecture -- Automated Learning of In-vehicle Noise Representation with Triplet-loss Embedded Convolutional Beamforming Network -- Sequence Mining for Automatic Generation of Software Tests from GUI Event Traces -- Deep Learning Based Algorithms for Welding Edge Points Detection -- Detecting Performance Anomalies in the Multi-Component Software a Collaborative Robot -- Prediction of Small-Wind Turbine Performance from TimeSeries Modelling using Intelligent Techniques -- Review of Trends in Automatic Human Activity Recognition using Synthetic Audio-Visual Data -- Atmospheric Tomography using Convolutional Neural Networks -- Workshop on Machine Learning in Smart Mobility -- Driver Monitoring System Based on CNN Models: An Approach for Attention Level Detection -- Road Patterns Identification and Risk Analysis based on Machine Learning framework: Powered Two-Wheelers Case -- Towards Predicting Pedestrian Paths: Identifying Surroundings from Monocular Video -- A Semi-automatic Object Identification Technique Combining Computer Vision and Deep Learning for the Crosswalk Detection Problem -- Using Deep Learning to Construct a Real-Time Road Safety Model; Modelling the Personal Attributes for Cyclist. |
| En lÃnea: |
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 |
21st International Conference, Guimaraes, Portugal, November 4–6, 2020, Proceedings, Part II [documento electrónico] / Analide, Cesar, ; Novais, Paulo, ; Camacho, David, ; Yin, Hujun, . - 1 ed. . - [s.l.] : Springer, 2020 . - XXV, 624 p. 193 ilustraciones, 161 ilustraciones en color. ISBN : 978-3-030-62365-4 Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
| Palabras clave: |
Entornos informáticos Visión por computador Visión IngenierÃa Informática y Redes Aplicaciones informáticas y de sistemas de información Inteligencia artificial MinerÃa de datos y descubrimiento de conocimientos Ordenador Red informática Ingenier |
| Ãndice Dewey: |
6.312 |
| Resumen: |
Este conjunto de dos volúmenes de LNCS 12489 y 12490 constituye las actas de la 21.ª Conferencia Internacional sobre IngenierÃa de Datos Inteligentes y Aprendizaje Automatizado, IDEAL 2020, celebrada en Guimaraes, Portugal, en noviembre de 2020.* Los 93 artÃculos presentados fueron cuidadosamente revisados y seleccionado entre 134 presentaciones. Estos artÃculos proporcionaron una muestra oportuna de los últimos avances en ingenierÃa de datos y aprendizaje automático, desde metodologÃas, marcos y algoritmos hasta aplicaciones. Los temas centrales de IDEAL 2020 incluyen desafÃos de big data, aprendizaje automático, minerÃa de datos, recuperación y gestión de información, bioinformática/neuroinformática, modelos bioinspirados, agentes y sistemas inteligentes hÃbridos, aplicaciones de técnicas inteligentes en el mundo real e inteligencia artificial. *La conferencia se realizó de manera virtual debido a la pandemia de COVID-19. |
| Nota de contenido: |
Special Session on Data Generation and Data Pre-processing in Machine Learning -- A Preprocessing Approach for Class-imbalanced Data using SMOTE and Belief Function Theory -- Multi-Agent Based Manifold Denoising -- A Novel Evaluation Metric for Synthetic Data Generation -- Data Pre-processing and Data Generation in the Student Flow Case Study -- Enhanced Credit Prediction using Artificial Data -- Data Generation Using Gene Expression Generator -- Stabilisation of Dataset Matrix Form for Classification Dataset Generation and Algorithm Selection -- Special Session on Optimization and Machine Learning for Industry 4.0 -- Distributed Coordination of Heterogeneous Robotic Swarms using Stochastic Diffusion Search -- An Intelligent Procedure for the Methodology of Energy Consumption in Industrial Environments -- Unified Performance Measure for Binary Classification Problems -- Data Augmentation for Industrial Prognosis using Generative Adversarial Networks -- A Comparison of Evolutionary Multi-Objective Optimization Algorithms Applied to Antenna Design -- Special Session on Practical Applications of Deep Learning -- Cloud Type Identification Using Data Fusion and Ensemble Learning -- Deep Learning in Aeronautics: Air Traffic Trajectory Classification Based on Weather Reports -- Analysis of Hand-Crafted and Automatic-Learned Features for Glaucoma Detection Through Raw Circumpapillary OCT Images -- Video Semantics Quality Assessment using Deep Learning -- A Deep Learning Approach for Intelligent Cockpits: Learning Drivers Routines -- Predicting Recurring Telecommunications Customer Support Problems using Deep Learning -- Pre- and Post-processing on Generative Adversarial Networks for Old Photos Restoration: A Case Study -- On Analysing Similarity Knowledge Transfer by Ensembles -- Special Session on New trends and challenges on Social Networks Analysis -- Social Network Recommender System, a Neural Network Approach -- Exploring Multi-objective Cellular Genetic Algorithmsin Community Detection Problems -- Special Session on Machine Learning in Automatic Control -- Under-Actuation Modelling in Robotic Hands via Neural Networks for Sign Language Representation with End-User Validation -- Exploratory Data Analysis of Wind and Waves for Floating Wind Turbines in Santa MarÃa, California -- Wind Turbine Pitch Control First Approach based on Reinforcement Learning -- Intelligent Fuzzy Optimized Control for Energy Extraction in Large Wind Turbines -- Special Session on Emerging Trends in Machine Learning -- Autoencoder Latent Space Influence on IoT MQTT Attack Classification -- A Recommendation System of Nutrition and Physical Activity for Patients with Type 2 Diabetes Mellitus -- A Comparative Analysis between Crisp and Fuzzy Data Clustering Approaches for Traditional and Bioinspired Algorithms -- Bridging the Gap of Neuroscience, Philosophy, and Evolutionary Biology to Propose an Approach to Machine Learning of Human-like Ethics -- Anticipating Maintenance in Telecom Installation Processes -- Meta-Hyperband: Hyperparameter Optimization with Meta-Learning and Coarse-to-Fine -- Stateful Optimization in Federated Learning of Neural Networks -- Talking in Italian about AI with a Chatbot: a Prototype of a Question-Answering Agent -- Review of Trends in Automatic Human Activity Recognition in Vehicle based in Synthetic Data -- Special Session on Machine Learning, Law and Legal Industry -- Intellectual Properties of Artificial Creativity: Dismantling Originality in European's Legal Framework -- Network Analysis for Fraud Detection in Portuguese Public Procurement -- Biased Language Detection in Court Decisions -- Special Session on Machine Learning Algorithms for Hard Problems -- A One-by-One Method for Community Detection in Attributed Networks -- A Hybrid Approach to the Analysis of a Collection of Research Papers -- Sequential Self-tuning Clustering for Automatic Delimitation of Coastal Upwelling on SST Images -- Special Session on Automated learning for industrial applications -- Time Series Clustering for Knowledge Discovery on Metal Additive Manufacturing -- Quaternion Neural Networks: State-of-the-art and Research Challenges -- A Solar Thermal System Temperature Prediction of a Smart Building for Data Recovery and Security Purposes -- A Fault Detection System for Power Cells During Capacity Confirmation Test Through a Global One-Class Classifier -- A Deep Metric Neural Network with Disentangled Representation for Detecting Smartphone Glass Defects -- Improving Performance of Recommendation System Architecture -- Automated Learning of In-vehicle Noise Representation with Triplet-loss Embedded Convolutional Beamforming Network -- Sequence Mining for Automatic Generation of Software Tests from GUI Event Traces -- Deep Learning Based Algorithms for Welding Edge Points Detection -- Detecting Performance Anomalies in the Multi-Component Software a Collaborative Robot -- Prediction of Small-Wind Turbine Performance from TimeSeries Modelling using Intelligent Techniques -- Review of Trends in Automatic Human Activity Recognition using Synthetic Audio-Visual Data -- Atmospheric Tomography using Convolutional Neural Networks -- Workshop on Machine Learning in Smart Mobility -- Driver Monitoring System Based on CNN Models: An Approach for Attention Level Detection -- Road Patterns Identification and Risk Analysis based on Machine Learning framework: Powered Two-Wheelers Case -- Towards Predicting Pedestrian Paths: Identifying Surroundings from Monocular Video -- A Semi-automatic Object Identification Technique Combining Computer Vision and Deep Learning for the Crosswalk Detection Problem -- Using Deep Learning to Construct a Real-Time Road Safety Model; Modelling the Personal Attributes for Cyclist. |
| En lÃnea: |
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 |
|  |
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