| TÃtulo : |
16th International Conference, HAIS 2021, Bilbao, Spain, September 22–24, 2021, Proceedings |
| Tipo de documento: |
documento electrónico |
| Autores: |
Sanjurjo González, Hugo, ; Pastor López, Iker, ; GarcÃa Bringas, Pablo, ; Quintián, Héctor, ; Corchado, Emilio, |
| Mención de edición: |
1 ed. |
| Editorial: |
[s.l.] : Springer |
| Fecha de publicación: |
2021 |
| Número de páginas: |
XVI, 673 p. 221 ilustraciones, 161 ilustraciones en color. |
| ISBN/ISSN/DL: |
978-3-030-86271-8 |
| Nota general: |
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. |
| Palabras clave: |
Inteligencia artificial MinerÃa de datos y descubrimiento de conocimientos Visión por computador Aplicación informática en ciencias sociales y del comportamiento Procesamiento de datos Ciencias sociales |
| Ãndice Dewey: |
006.3 Inteligencia artificial |
| Resumen: |
Este libro constituye las actas arbitradas de la 16.ª Conferencia Internacional sobre Sistemas HÃbridos Artificiales Inteligentes, HAIS 2021, celebrada en Bilbao, España, en septiembre de 2021. Los 44 artÃculos completos y 11 artÃculos breves presentados en este libro fueron cuidadosamente revisados ​​y seleccionados entre 81 presentaciones. Los artÃculos se agrupan en estos temas: minerÃa de datos, descubrimiento de conocimiento y big data; modelos bioinspirados y computación evolutiva; algoritmos de aprendizaje; análisis visual y técnicas avanzadas de procesamiento de datos; aplicaciones de aprendizaje automático; aplicaciones inteligentes hÃbridas; aplicaciones de aprendizaje profundo; y aplicaciones de problemas de optimización. |
| Nota de contenido: |
Data Mining, Knowledge Discovery and Big Data -- Document Similarity by Word Clustering with Semantic Distance -- PSO-PARSIMONY: A New Methodology for Searching for Accurate and Parsimonious Models with Particle Swarm Optimization. Application for Predicting the Force-Displacement Curve in T-stub Steel Connections -- Content-based authorship identification for short texts in Social Media Networks -- A Novel Pre-processing Method for Enhancing Classification Over Sensor Data Streams Using Subspace Probability Detection -- Bio-inspired Models and Evolutionary Computation -- Remaining Useful Life Estimation Using a Recurrent Variational Autoencoder -- Open-ended Learning of Reactive Knowledge in Cognitive Robotics based on Neuroevolution -- Managing gene expression in evolutionary algorithms with gene regulatory networks -- Evolutionary Optimization of Neuro-symbolic Integration for Phishing URL Detection -- Interurban Electric Vehicle Charging Stations through Genetic Algorithms -- An Effective Hybrid Genetic Algorithm for Solving the Generalized Traveling Salesman Problem -- A Simple Genetic Algorithm for the Critical Node Detection Problem -- Learning Algorithms -- Window Size Optimization for GaussianProcesses in Large Time Series Forecasting -- A binary classification model for toxicity prediction in drug design -- Structure Learning of High-Order Dynamic Bayesian Networks via Particle Swarm Optimization with Order Invariant Encoding -- Prototype Generation for Multi-label Nearest Neighbours Classification -- Learning Bipedal Walking Through Morphological Development -- Ethical Challenges from Artificial Intelligence to Legal Practice -- Visual Analysis and Advanced Data Processing Techniques -- Classification of burrs using contour features of image in milling workpieces -- Adaptive Graph Laplacian for Convex Multi-Task Learning SVM -- Fight detection in images using postural analysis -- Applying Vector Symbolic Architecture and Semiotic Approach to Visual Dialog -- Transfer Learning study for horses breeds images datasets using pre-trained ResNet Networks -- Machine Learning Applications -- Fraudulent e-commerce websites detection through machine learning -- More Interpretable Decision Trees -- Algorithms Air Quality Estimation: A Comparative Study of Stochastic and Heuristic Predictive Models -- Slicer: Feature Learning for Class Separability with Least-Squares Support Vector Machine Loss and COVID-19 Chest X-ray Case Study -- Hybrid Intelligent Applications -- Speech emotion recognition by conventional machine learning and deep learning -- Predictive Maintenance of Vehicle Fleets using Hierarchical Modified Fuzzy Support Vector Machine for Industrial IoT Datasets -- Super Local Models for Wind Power Detection -- A Comparison of Blink Removal Techniques in EEG signals -- Hybrid intelligent model for switching modes classification in a half-bridge buck converter -- Hybrid model to calculate the State Of Charge of a battery -- Distance Metric Learning with Prototype Selection for Imbalanced Classification -- Enhancing Place Inference via Fuzzy Ranking Using Fuzzy Similarity and Agreeability -- A Hybrid Intelligent System to Detect Anomalies in Robot Performance -- Counter intuitive COVID-19 propagation dynamics in Brazil -- A Hybrid Bio-inspired Tabu Search Clustering Approach -- A Non-parametric Fisher Kernel -- Deep Learning Applications -- Hybrid deep learning approach for efficient outdoor parking monitoring in smart cities -- Personal cognitive assistant: personalization and action scenarios expansion -- Nowcasting for Improving Radon-222 Forecasting at Canfranc Underground Laboratory -- Analysis of the seasonality in a geothermal system using projectionist and clustering methods -- A model-based deep transfer learning algorithm for phenology forecasting using satellite imagery -- Deep Transfer Learning for interpretable Chest X-Ray diagnosis -- Companion Losses for Deep Neural Networks -- Financial Forecasting viaDeep-Learning and Machine-Learning Tools over Two-Dimensional Objects Transformed from Time Series -- A preliminary analysis on software frameworks for the development of spiking neural networks -- Edge AI for Covid-19 detection using coughing -- Unsupervised Learning Approach for pH Anomaly Detection in Wastewater Treatment Plants -- A hybrid post-hoc interpretability approach for deep neural networks -- Deep Learning Applications on Cybersecurity -- Optimization Problem Applications -- A Parallel Optimization Solver for the Multi-period WDND problem -- Waste Collection Vehicle Routing Problem using filling predictions -- Optimization of Warehouse Layout for the minimization of operation times -- Simple meta-optimization of the feature MFCC for public Emotional datasets classification. |
| 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 |
16th International Conference, HAIS 2021, Bilbao, Spain, September 22–24, 2021, Proceedings [documento electrónico] / Sanjurjo González, Hugo, ; Pastor López, Iker, ; GarcÃa Bringas, Pablo, ; Quintián, Héctor, ; Corchado, Emilio, . - 1 ed. . - [s.l.] : Springer, 2021 . - XVI, 673 p. 221 ilustraciones, 161 ilustraciones en color. ISBN : 978-3-030-86271-8 Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
| Palabras clave: |
Inteligencia artificial MinerÃa de datos y descubrimiento de conocimientos Visión por computador Aplicación informática en ciencias sociales y del comportamiento Procesamiento de datos Ciencias sociales |
| Ãndice Dewey: |
006.3 Inteligencia artificial |
| Resumen: |
Este libro constituye las actas arbitradas de la 16.ª Conferencia Internacional sobre Sistemas HÃbridos Artificiales Inteligentes, HAIS 2021, celebrada en Bilbao, España, en septiembre de 2021. Los 44 artÃculos completos y 11 artÃculos breves presentados en este libro fueron cuidadosamente revisados ​​y seleccionados entre 81 presentaciones. Los artÃculos se agrupan en estos temas: minerÃa de datos, descubrimiento de conocimiento y big data; modelos bioinspirados y computación evolutiva; algoritmos de aprendizaje; análisis visual y técnicas avanzadas de procesamiento de datos; aplicaciones de aprendizaje automático; aplicaciones inteligentes hÃbridas; aplicaciones de aprendizaje profundo; y aplicaciones de problemas de optimización. |
| Nota de contenido: |
Data Mining, Knowledge Discovery and Big Data -- Document Similarity by Word Clustering with Semantic Distance -- PSO-PARSIMONY: A New Methodology for Searching for Accurate and Parsimonious Models with Particle Swarm Optimization. Application for Predicting the Force-Displacement Curve in T-stub Steel Connections -- Content-based authorship identification for short texts in Social Media Networks -- A Novel Pre-processing Method for Enhancing Classification Over Sensor Data Streams Using Subspace Probability Detection -- Bio-inspired Models and Evolutionary Computation -- Remaining Useful Life Estimation Using a Recurrent Variational Autoencoder -- Open-ended Learning of Reactive Knowledge in Cognitive Robotics based on Neuroevolution -- Managing gene expression in evolutionary algorithms with gene regulatory networks -- Evolutionary Optimization of Neuro-symbolic Integration for Phishing URL Detection -- Interurban Electric Vehicle Charging Stations through Genetic Algorithms -- An Effective Hybrid Genetic Algorithm for Solving the Generalized Traveling Salesman Problem -- A Simple Genetic Algorithm for the Critical Node Detection Problem -- Learning Algorithms -- Window Size Optimization for GaussianProcesses in Large Time Series Forecasting -- A binary classification model for toxicity prediction in drug design -- Structure Learning of High-Order Dynamic Bayesian Networks via Particle Swarm Optimization with Order Invariant Encoding -- Prototype Generation for Multi-label Nearest Neighbours Classification -- Learning Bipedal Walking Through Morphological Development -- Ethical Challenges from Artificial Intelligence to Legal Practice -- Visual Analysis and Advanced Data Processing Techniques -- Classification of burrs using contour features of image in milling workpieces -- Adaptive Graph Laplacian for Convex Multi-Task Learning SVM -- Fight detection in images using postural analysis -- Applying Vector Symbolic Architecture and Semiotic Approach to Visual Dialog -- Transfer Learning study for horses breeds images datasets using pre-trained ResNet Networks -- Machine Learning Applications -- Fraudulent e-commerce websites detection through machine learning -- More Interpretable Decision Trees -- Algorithms Air Quality Estimation: A Comparative Study of Stochastic and Heuristic Predictive Models -- Slicer: Feature Learning for Class Separability with Least-Squares Support Vector Machine Loss and COVID-19 Chest X-ray Case Study -- Hybrid Intelligent Applications -- Speech emotion recognition by conventional machine learning and deep learning -- Predictive Maintenance of Vehicle Fleets using Hierarchical Modified Fuzzy Support Vector Machine for Industrial IoT Datasets -- Super Local Models for Wind Power Detection -- A Comparison of Blink Removal Techniques in EEG signals -- Hybrid intelligent model for switching modes classification in a half-bridge buck converter -- Hybrid model to calculate the State Of Charge of a battery -- Distance Metric Learning with Prototype Selection for Imbalanced Classification -- Enhancing Place Inference via Fuzzy Ranking Using Fuzzy Similarity and Agreeability -- A Hybrid Intelligent System to Detect Anomalies in Robot Performance -- Counter intuitive COVID-19 propagation dynamics in Brazil -- A Hybrid Bio-inspired Tabu Search Clustering Approach -- A Non-parametric Fisher Kernel -- Deep Learning Applications -- Hybrid deep learning approach for efficient outdoor parking monitoring in smart cities -- Personal cognitive assistant: personalization and action scenarios expansion -- Nowcasting for Improving Radon-222 Forecasting at Canfranc Underground Laboratory -- Analysis of the seasonality in a geothermal system using projectionist and clustering methods -- A model-based deep transfer learning algorithm for phenology forecasting using satellite imagery -- Deep Transfer Learning for interpretable Chest X-Ray diagnosis -- Companion Losses for Deep Neural Networks -- Financial Forecasting viaDeep-Learning and Machine-Learning Tools over Two-Dimensional Objects Transformed from Time Series -- A preliminary analysis on software frameworks for the development of spiking neural networks -- Edge AI for Covid-19 detection using coughing -- Unsupervised Learning Approach for pH Anomaly Detection in Wastewater Treatment Plants -- A hybrid post-hoc interpretability approach for deep neural networks -- Deep Learning Applications on Cybersecurity -- Optimization Problem Applications -- A Parallel Optimization Solver for the Multi-period WDND problem -- Waste Collection Vehicle Routing Problem using filling predictions -- Optimization of Warehouse Layout for the minimization of operation times -- Simple meta-optimization of the feature MFCC for public Emotional datasets classification. |
| 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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