Información General

• Autores: Hugo Sanjurjo González (coord.), Iker Pastor López (coord.), Pablo García Bringas (coord.), Héctor Quintián Pardo (coord.), Emilio Santiago Corchado Rodríguez (coord.)
• Editores: Springer International Publishing AG
• Año de publicación: 2021
• Colecciones: Lecture Notes in Computer Science, 12886
• País: Suiza
• Idioma: inglés
• ISBN: 978-3-030-86271-8, 978-3-030-86270-1
• Títulos paralelos:
  • Sistemas inteligentes artificiales híbridos
• Recoge los contenidos presentados a: Hybrid Artificial Intelligent Systems (HAIS) (16. 2021. Bilbao).
• Texto completo no disponible (Saber más ...)

Resumen

• This book constitutes the refereed proceedings of the 16th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2021, held in Bilbao, Spain, in September 2021.

  The 44 full and 11 short papers presented in this book were carefully reviewed and selected from 81 submissions. The papers are grouped into these topics: data mining, knowledge discovery and big data; bio-inspired models and evolutionary computation; learning algorithms; visual analysis and advanced data processing techniques; machine learning applications; hybrid intelligent applications; deep learning applications; and optimization problem applications.

Otros catálogos

• Red de Bibliotecas Universitarias (REBIUN)

Listado de artículos

• • Data Mining, Knowledge Discovery and Big Data

    • Document Similarity by Word Clustering with Semantic Distance

      Toshinori Deguchi, Naohiro Ishii

      • Resumen

      págs. 3-14

      

    • 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

      Julio Fernández Ceniceros, Andrés Sanz García, Alpha Verónica Pernía Espinoza, Francisco Javier Martínez de Pisón Ascacíbar

      • Resumen

      págs. 15-26

      

    • Content-Based Authorship Identification for Short Texts in Social Media Networks

      José Gaviria de la Puerta, Iker Pastor López, Javier Salcedo Hernández, Alberto Tellaeche Iglesias, Borja Sanz Urquijo, Hugo Sanjurjo González, Alfredo Cuzzocrea, Pablo García Bringas

      • Resumen

      págs. 27-37

      

    • A Novel Pre-processing Method for Enhancing Classification Over Sensor Data Streams Using Subspace Probability Detection

      Yan Zhong, Tengyue Li, Simon Fong, Xuqi Li, Antonio Javier Tallón Ballesteros, Sabah Mohammed

      • Resumen

      págs. 38-49

      

  • Bio-inspired Models and Evolutionary Computation

    • Remaining Useful Life Estimation Using a Recurrent Variational Autoencoder

      Nahuel Alejandro Costa Cortéz, Luciano Sánchez Ramos

      • Resumen

      págs. 53-64

      

    • Open-Ended Learning of Reactive Knowledge in Cognitive Robotics Based on Neuroevolution

      Alejandro Romero Montero, Francisco Bellas Bouza, Richard J. Duro Fernández

      • Resumen

      págs. 65-76

      

    • Managing Gene Expression in Evolutionary Algorithms with Gene Regulatory Networks

      Michael Cilliers, Duncan A. Coulter

      • Resumen

      págs. 77-87

      

    • Evolutionary Optimization of Neuro-Symbolic Integration for Phishing URL Detection

      Kyoung-Won Park, Seok-Jun Bu, Sung-Bae Cho

      • Resumen

      págs. 88-100

      

    • Interurban Electric Vehicle Charging Stations Through Genetic Algorithms

      Jaume Magí Jordán Prunera, Pasqual Martí Gimeno, Javier Palanca Cámara, Vicente J. Julián Inglada, Vicente J. Botti Navarro

      • Resumen

      págs. 101-112

      

    • An Effective Hybrid Genetic Algorithm for Solving the Generalized Traveling Salesman Problem

      Ovidiu Cosma, Petrică Pop, Laura Cosma

      • Resumen

      págs. 113-123

      

    • A Simple Genetic Algorithm for the Critical Node Detection Problem

      Mihai-Alexandru Suciu, Noémi Gaskó, Tamás Képes, Rodica Ioana Lung

      • Resumen

      págs. 124-133

      

  • Learning Algorithms

    • Window Size Optimization for Gaussian Processes in Large Time Series Forecasting

      Juan Luis Gómez González, Miguel Cárdenas Montes

      • Resumen

      págs. 137-148

      

    • A Binary Classification Model for Toxicity Prediction in Drug Design

      Génesis Varela Salinas, Hugo Eduardo Camacho Cruz, Alfredo Juárez Saldivar, Jose L. Martinez Rodriguez, Adolfo Josué Rodríguez Rodríguez, Carlos Armando Garcia-Perez

      • Resumen

      págs. 149-157

      

    • Structure Learning of High-Order Dynamic Bayesian Networks via Particle Swarm Optimization with Order Invariant Encoding

      David Quesada López, Concha Bielza Lozoya, Pedro Larrañaga Múgica

      • Resumen

      págs. 158-171

      

    • Prototype Generation for Multi-label Nearest Neighbours Classification

      Stefanos Ougiaroglou, Panagiotis Filippakis, Georgios Evangelidis

      • Resumen

      págs. 172-183

      

    • Learning Bipedal Walking Through Morphological Development

      M. Naya-Varela, Andrés Faíña Rodríguez-Vila, Richard J. Duro Fernández

      • Resumen

      págs. 184-195

      

    • Ethical Challenges from Artificial Intelligence to Legal Practice

      Miguel Ramón Viguri Axpe

      • Resumen

      págs. 196-206

      

  • Visual Analysis and Advanced Data Processing Techniques

    • Classification of Burrs Using Contour Features of Image in Milling Workpieces

      Virginia Riego del Castillo, Lidia Sánchez González, Claudia Álvarez Aparicio

      • Resumen

      págs. 209-218

      

    • Adaptive Graph Laplacian for Convex Multi-Task Learning SVM

      Carlos Ruiz, Carlos María Alaiz Gudín, José Ramón Dorronsoro Ibero

      • Resumen

      págs. 219-230

      

    • Fight Detection in Images Using Postural Analysis

      Eneko Atxa Landa, José Gaviria de la Puerta, Íñigo López Gazpio, Iker Pastor López, Alberto Tellaeche Iglesias, Pablo García Bringas

      • Resumen

      págs. 231-242

      

    • Applying Vector Symbolic Architecture and Semiotic Approach to Visual Dialog

      Alexey K. Kovalev, Makhmud Shaban, Anfisa A. Chuganskaya, Aleksandr I. Panov

      • Resumen

      págs. 243-255

      

    • Transfer Learning Study for Horses Breeds Images Datasets Using Pre-trained ResNet Networks

      Enrique Antonio de la Cal Marín, Enol García González, José Ramón Villar Flecha

      • Resumen

      págs. 256-264

      

  • Machine Learning Applications

    • Fraudulent E-Commerce Websites Detection Through Machine Learning

      Manuel Sánchez Paniagua, Eduardo Fidalgo Fernández, Enrique Alegre Gutiérrez, Francisco Jáñez Martino

      • Resumen

      págs. 267-279

      

    • More Interpretable Decision Trees

      Eugene Gilmore, Vladimir Estivill- Castro, Rene Hexel

      • Resumen

      págs. 280-292

      

    • Algorithms Air Quality Estimation: a Comparative Study of Stochastic and Heuristic Predictive Models

      Nadia N. Sánchez Pozo, Sergio Trilles Oliver, Albert Sole Ribalta, Leandro L. Lorente Leyva, Dagoberto Mayorca Torres, Diego Hernán Peluffo Ordoñez

      • Resumen

      págs. 293-304

      

    • Slicer: feature Learning for Class Separability with Least-Squares Support Vector Machine Loss and COVID-19 Chest X-Ray Case Study

      Francisco David Charte Luque, Iván Sevillano García, María Jesús Lucena González, José Luis Martín Rodríıguez, Francisco Charte Ojeda, Francisco Herrera Triguero

      • Resumen

      págs. 305-315

      

  • Hybrid Intelligent Applications

    • Speech Emotion Recognition by Conventional Machine Learning andDeep Learning

      Javier de Lope, Enrique Hernández, Vanessa Vargas, Manuel Graña Romay

      • Resumen

      págs. 319-330

      

    • Predictive Maintenance of Vehicle Fleets Using Hierarchical Modified Fuzzy Support Vector Machine for Industrial IoT Datasets

      Arindam Chaudhuri, Soumya K. Ghosh

      • Resumen

      págs. 331-342

      

    • Super Local Models for Wind Power Detection

      María Barroso, Ángela Fernández Pascual

      • Resumen

      págs. 343-354

      

    • A Comparison of Blink Removal Techniques in EEG Signals

      Fernando Moncada Martins, Víctor Manuel González Suárez, Beatriz García López, Víctor Manuel Álvarez García, José Ramón Villar Flecha

      • Resumen

      págs. 355-366

      

    • Hybrid Intelligent Model for Switching Modes Classification in a Half-Bridge Buck Converter

      Luis Alfonso Fernández Serantes, José-Luis Casteleiro-Roca, Dragan Simić, José Luis Calvo-Rolle

      • Resumen

      págs. 367-378

      

    • Hybrid Model to Calculate the State of Charge of a Battery

      Maite García-Ordás, David Yeregui Marcos del Blanco, José Aveleira Mata, Francisco Zayas-Gato, Esteban Jove Pérez, José-Luis Casteleiro-Roca, Héctor Quintián Pardo, José Luis Calvo-Rolle, Héctor Alaiz Moretón

      • Resumen

      págs. 379-390

      

    • Distance Metric Learning with Prototype Selection for Imbalanced Classification

      Juan Luis Suárez Díaz, Salvador García López, Francisco Herrera Triguero

      • Resumen

      págs. 391-402

      

    • Enhancing Visual Place Inference via Image Ranking Using Fuzzy Similarity and Agreeability

      Piotr Wozniak, Bogdan Kwolek

      • Resumen

      págs. 403-414

      

    • A Hybrid Intelligent System to Detect Anomalies in Robot Performance

      Nuño Basurto Hornillos, Ángel Arroyo Puente, Carlos Cambra Baseca, Álvaro Herrero Cosío

      • Resumen

      págs. 415-426

      

    • Counter Intituive COVID-19 Propagation Dynamics in Brazil

      Manuel Graña Romay, Goizalde Badiola Zabala, José Manuel López Guede

      • Resumen

      págs. 427-435

      

    • A Hybrid Bio-Inspired Tabu Search Clustering Approach

      Dragan Simić, Zorana Banković, José Ramón Villar Flecha, José Luis Calvo-Rolle, Svetislav D. Simić, Svetlana Simić

      • Resumen

      págs. 436-447

      

    • A Non-parametric Fisher Kernel

      Pau Figuera, Pablo García Bringas

      • Resumen

      págs. 448-459

      

  • Deep Learning Applications

    • Hybrid Deep Learning Approach for Efficient Outdoor Parking Monitoring in Smart Cities

      Alberto Tellaeche Iglesias, Iker Pastor López, Borja Sanz Urquijo, Pablo García Bringas

      • Resumen

      págs. 463-474

      

    • Personal Cognitive Assistant: personalisation and Action Scenarios Expansion

      Elena Chistova, Margarita Suvorova, Gleb Kiselev, Ivan Smirnov

      • Resumen

      págs. 475-486

      

    • Nowcasting for Improving Radon-222 Forecasting at Canfranc Underground Laboratory

      Tomás Sánchez Pastor, Miguel Cárdenas Montes

      • Resumen

      págs. 487-499

      

    • Analysis of the Seasonality in a Geothermal System Using Projectionist and Clustering Methods

      Santiago Porras Alfonso, Esteban Jove Pérez, Bruno Baruque Zanón, José Luis Calvo-Rolle

      • Resumen

      págs. 500-510

      

    • A Model-Based Deep Transfer Learning Algorithm for Phenology Forecasting Using Satellite Imagery

      Miguel Ángel Molina, Manuel Jesús Jiménez Navarro, Francisco Martínez-Álvarez, Gualberto Asencio Cortés

      • Resumen

      págs. 511-523

      

    • Deep Transfer Learning for Interpretable Chest X-Ray Diagnosis

      Carlos Lago, Íñigo López Gazpio, Enrique Onieva Caracuel

      • Resumen

      págs. 524-537

      

    • Companion Losses for Deep Neural Networks

      David Díaz Vico, Ángela Fernández Pascual, José Ramón Dorronsoro Ibero

      • Resumen

      págs. 538-549

      

    • Financial Forecasting via Deep-Learning and Machine-Learning Tools over Two-Dimensional Objects Transformed from Time Series

      Alessandro Baldo, Alfredo Cuzzocrea, Edoardo Fadda, Pablo García Bringas

      • Resumen

      págs. 550-563

      

    • A Preliminary Analysis on Software Frameworks for the Development of Spiking Neural Networks

      Ángel Miguel García Vico, Francisco Herrera Triguero

      • Resumen

      págs. 564-575

      

    • Edge AI for Covid-19 Detection Using Coughing

      Jaime A. Rincón Arango, Vicente J. Julián Inglada, Carlos Carrascosa Casamayor

      • Resumen

      págs. 576-587

      

    • Unsupervised Learning Approach for pH Anomaly Detection in Wastewater Treatment Plants

      Diogo Gigante, Pedro Oliveira, Bruno Fernandes, Frederico Lopes, Paulo Novais

      • Resumen

      págs. 588-599

      

    • A Hybrid Post Hoc Interpretability Approach for Deep Neural Networks

      Flávio Arthur Oliveira Santos, Cleber Zanchettin, José Vitor Santos Silva, Leonardo Nogueira Matos, Paulo Novais

      • Resumen

      págs. 600-610

      

    • Deep Learning Applications on Cybersecurity

      Carlos Lago, Rafael Romón, Iker Pastor López, Borja Sanz Urquijo, Alberto Tellaeche Iglesias, Pablo García Bringas

      • Resumen

      págs. 611-621

      

  • Optimization Problem Applications

    • A Parallel Optimization Solver for the Multi-period WDND Problem

      Carlos Bermúdez, Hugo Alfredo Alfonso, Gabriela Minetti, Carolina Salto

      • Resumen

      págs. 625-636

      

    • Waste Collection Vehicle Routing Problem Using Filling Predictions

      Haizea Rodriguez, Jon Díaz Aparicio, Jenny Fajardo Calderín, Asier Perallos Ruiz, Enrique Onieva Caracuel

      • Resumen

      págs. 637-648

      

    • Optimization of Warehouse Layout for the Minimization of Operation Times

      Jon Díaz Aparicio, Haizea Rodriguez, Jenny Fajardo Calderín, Ignacio Angulo Martínez, Enrique Onieva Caracuel

      • Resumen

      págs. 649-658

      

    • Simple Meta-optimization of the Feature MFCC for Public Emotional Datasets Classification

      Enrique Antonio de la Cal Marín, Alberto Gallucci, José Ramón Villar Flecha, Kaori Yoshida, Mario Koeppen

      • Resumen
      • Texto completo

      págs. 659-670