Información General

• Autores: Cesar Analide (ed. lit.), Paulo Novais (ed. lit.), David Camacho Fernández (ed. lit.), Hujun Yin (ed. lit.)
• Editores: Springer International Publishing AG
• Año de publicación: 2020
• Colecciones: Lecture Notes in Computer Science, 12490
• País: Suiza
• Idioma: inglés
• ISBN: 978-3-030-62361-6, 978-3-030-62364-7, 978-3-030-62362-3
• Títulos paralelos:
  • Ingeniería de datos inteligente y aprendizaje automatizado. 21.ª conferencia internacional: Guimarães, Portugal. 4-6 noviembre 2020. Actas
• Recoge los contenidos presentados a: Intelligent Data Engineering and Automated Learning – IDEAL (21. 2020. Guimarães).
• Texto completo no disponible (Saber más ...)

Resumen

• This two-volume set of LNCS 12489 and 12490 constitutes the thoroughly refereed conference proceedings of the 21th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2020, held in Guimaraes, Portugal, in November 2020.* The 93 papers presented were carefully reviewed and selected from 134 submissions. These papers provided a timely sample of the latest advances in data engineering and machine learning, from methodologies, frameworks, and algorithms to applications. The core themes of IDEAL 2020 include big data challenges, machine learning, data mining, information retrieval and management, bio-/neuro-informatics, bio-inspiredmodels, agents and hybrid intelligent systems, real-world applications of intelligent techniques and AI. * The conference was held virtually due to the COVID-19 pandemic.

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• Red de Bibliotecas Universitarias (REBIUN)

Esta obra consta de los siguientes volúmenes

• Vol. 2: Part II . ISBN 978-3-030-62365-4

Listado de artículos

• Vol. 2: Part II. 2020. ISBN 978-3-030-62365-4. Texto Completo Volumen

  • 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

      Fares Grina, Zied Elouedi, Eric Lefevre

      • Resumen
      • Texto completo

      págs. 3-11

      

    • Multi-agent Based Manifold Denoising

      Mohammad Mohammadi, Kerstin Bunte

      • Resumen
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      págs. 12-24

      

    • A Novel Evaluation Metric for Synthetic Data Generation

      Andrea Galloni, Imre Lendák, Tomáš Horváth

      • Resumen
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      págs. 25-34

      

    • Data Pre-processing and Data Generation in the Student Flow: case Study

      Luís Cavique, Paulo Pombinho, Antonio Javier Tallón Ballesteros, Luís Correia

      • Resumen
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      págs. 35-43

      

    • Enhanced Credit Prediction Using Artificial Data

      Peter Mitic, James Cooper

      • Resumen
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      págs. 44-53

      

    • Data Generation Using Gene Expression Generator

      Zakarya Farou, Noureddine Mouhoub, Tomáš Horváth

      • Resumen
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      págs. 54-65

      

    • Stabilization of Dataset Matrix Form for Classification Dataset Generation and Algorithm Selection

      Ilya Sahipov, Alexey Zabashta, Andrey Filchenkov

      • Resumen
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      págs. 66-75

      

  • Special Session on Optimization and Machine Learning for Industry 4.0

    • Distributed Coordination of Heterogeneous Robotic Swarms Using Stochastic Diffusion Search

      Eneko Osaba, Javier del Ser Lorente, Xabier Jubeto, Andres Iglesias, Iztok Fister Jr., Akemi Gálvez Tomida, Iztok Fister

      • Resumen
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      págs. 79-91

      

    • An Intelligent Procedure for the Methodology of Energy Consumption in Industrial Environments

      Izaskun Mendia Telleria, Sergio Gil López, Javier del Ser Lorente, Iñaki Grau, Adelaida Lejarazu, Erik Maqueda, Eugenio Perea Olavarria

      • Resumen
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      págs. 92-103

      

    • Unified Performance Measure for Binary Classification Problems

      Ana R. Redondo, Jorge Navarro, Rubén R. Fernández, Isaac Martín de Diego, Javier Martínez Moguerza, Juan José Fernández Muñoz

      • Resumen
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      págs. 104-112

      

    • Data Augmentation for Industrial Prognosis Using Generative Adversarial Networks

      Patxi Ortego, Alberto Diez Olivan, Javier del Ser Lorente, Basilio Sierra Araujo

      • Resumen
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      págs. 113-122

      

    • A Comparison of Evolutionary Multi-objective Optimization Algorithms Applied to Antenna Design

      Pedro B. Santos, Marcello C. Melo, Everaldo Faustino Jr., Arismar Cerqueira S. Jr., Carmelo J.A. Bastos-Filho

      • Resumen
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      págs. 123-134

      

  • Special Session on Practical Applications of Deep Learning

    • Cloud Type Identification Using Data Fusion and Ensemble Learning

      Javier Huertas Tato, Alejandro Martín, David Camacho Fernández

      • Resumen
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      págs. 137-147

      

    • Deep Learning in Aeronautics: air TrafficTrajectory Classification Based on Weather Reports

      Néstor Jiménez Campfens, Adrián Colomer Granero, Javier Núñez, Juan Manuel Mogollón García, Antonio L. Rodríguez, Valery Naranjo Ornedo

      • Resumen
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      págs. 148-155

      

    • Analysis of Hand-Crafted and Automatic-Learned Features for Glaucoma Detection Through Raw Circumpapillary OCT Images

      Gabriel García, Adrián Colomer Granero, Valery Naranjo Ornedo

      • Resumen
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      págs. 156-164

      

    • Video Semantics Quality Assessment Using Deep Learning

      Rui Jesus, Bárbara Silveira, Nuno Correia

      • Resumen
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      págs. 165-172

      

    • A Deep Learning Approach for Intelligent Cockpits: learning Drivers Routines

      Carlos Fernandes, Flora Ferreira, Wolfram Erlhagen, Sérgio Monteiro, Estela Bicho

      • Resumen
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      págs. 173-183

      

    • Predicting Recurring Telecommunications Customer Support Problems Using Deep Learning

      Vitor Castro, Carlos Pereira, Victor Alves

      • Resumen
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      págs. 184-193

      

    • Pre- and Post-processing on Generative Adversarial Networks for Old Photos Restoration: a Case Study

      Robinson Paspuel, Marcelo Barba, Bryan Jami, Lorena Guachi Guachi

      • Resumen
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      págs. 194-201

      

    • On Analysing Similarity Knowledge Transfer by Ensembles

      Danilo Pereira, Flávio Arthur O. Santos, Leonardo Nogueira Matos, Paulo Novais, Cleber Zanchettin, Teresa B. Ludermir

      • Resumen
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      págs. 202-210

      

  • Special Session on New Trends and Challenges on Social Networks Analysis

    • Social Network Recommender System: a Neural Network Approach

      Alberto Rivas, Pablo Chamoso Santos, Alfonso González Briones, Juan Luis Pavón Mestras, Juan Manuel Corchado Rodríguez

      • Resumen
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      págs. 213-222

      

    • Exploring Multi-objective Cellular Genetic Algorithms in Community Detection Problems

      Martín Pedemonte, Ángel Panizo, Gema Bello Orgaz, David Camacho Fernández

      • Resumen
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      págs. 223-235

      

  • 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

      Jennifer J. Gago Muñoz, Bartek Piotr Łukawski, Juan Carlos Victores, Carlos Balaguer Bernaldo de Quirós

      • Resumen
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      págs. 239-251

      

    • Exploratory Data Analysis ofWind and Waves for Floating Wind Turbines in Santa María: California

      Montserrat Sacie, Rafael López Martínez, Matilde Santos Peñas

      • Resumen
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      págs. 252-259

      

    • Wind Turbine Pitch Control First Approach Based on Reinforcement Learning

      Jesús Enrique Sierra García, Matilde Santos Peñas

      • Resumen
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      págs. 260-268

      

    • Intelligent Fuzzy Optimized Control for Energy Extraction in Large Wind Turbines

      Carlos L. Serrano Barreto, Matilde Santos Peñas

      • Resumen
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      págs. 269-276

      

  • Special Session on Emerging Trends in Machine Learning

    • Autoencoder Latent Space Influence on IoT MQTT Attack Classification

      Maite García-Ordás, José Aveleira Mata, José-Luis Casteleiro-Roca, José Luis Calvo Rolle, María del Carmen Benavides Cuéllar, Héctor Alaiz Moretón

      • Resumen
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      págs. 279-286

      

    • A Recommendation System of Nutrition and Physical Activity for Patients with Type 2 Diabetes Mellitus

      João Godinho, Sara Batista, Diogo Martinho, Luís Conceição

      • Resumen
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      págs. 287-297

      

    • A Comparative Analysis Between Crisp and Fuzzy Data Clustering Approaches for Traditional and Bioinspired Algorithms

      Amanda Coradini, Alexandre Szabo

      • Resumen
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      págs. 298-308

      

    • Bridging the Gap of Neuroscience, Philosophy, and Evolutionary Biology to Propose an Approach to Machine Learning of Human-Like Ethics

      Nicolás Lori, Diana Ferreira, Victor Alves, José Manuel Ferreira Machado

      • Resumen
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      págs. 309-321

      

    • Anticipating Maintenance in Telecom Installation Processes

      Diana Costa, Carlos Pereira, Hugo Peixoto

      • Resumen
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      págs. 322-334

      

    • Meta-hyperband: hyperparameter Optimization with Meta-learning and Coarse-to-Fine

      Samin Payrosangari, Afshin Sadeghi, Damien Graux, Jens Lehmann

      • Resumen
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      págs. 335-347

      

    • Stateful Optimization in Federated Learning of Neural Networks

      Péter Kiss, Tomáš Horváth, Vukasin Felbab

      • Resumen
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      págs. 348-355

      

    • Talking in Italian About AI with a Chatbot: a Prototype of a Question-Answering Agent

      Chiara Leoni, Mauro Coccoli, Ilaria Torre, Gianni Vercelli

      • Resumen
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      págs. 356-367

      

    • Review of Trends in Automatic Human Activity Recognition in Vehicle Based in Synthetic Data

      Ana Coimbra, Cristiana Neto, Diana Ferreira, Júlio Duarte, Daniela Oliveira, Francini Hak, Filipe Gonçalves, Joaquim Fonseca, Nicolás Lori, António Abelha, José Manuel Ferreira Machado

      • Resumen
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      págs. 368-376

      

  • Special Session on Machine Learning, Law and Legal Industry

    • Intellectual Properties of Artificial Creativity: dismantling Originality in European’s Legal Framework

      Beatriz A. Ribeiro

      • Resumen
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      págs. 379-389

      

    • Network Analysis for Fraud Detection in Portuguese Public Procurement

      Davide Carneiro, Patrícia Veloso, André Ventura, Guilherme Palumbo, João Costa

      • Resumen
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      págs. 390-401

      

    • Biased Language Detection in Court Decisions

      Alexandra Guedes Pinto, Henrique Lopes Cardoso, Isabel Margarida Duarte, Catarina Vaz Warrot, Rui Sousa Silva

      • Resumen
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      págs. 402-410

      

  • Special Session on Machine Learning Algorithms for Hard Problems

    • A One-by-One Method for Community Detection in Attributed Networks

      Soroosh Shalileh, Boris Mirkin

      • Resumen
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      págs. 413-422

      

    • A Hybrid Approach to the Analysis of a Collection of Research Papers

      Boris Mirkin, Dmitry Frolov, Alex Vlasov, Susana Nascimento, Trevor Fenner

      • Resumen
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      págs. 423-433

      

    • Sequential Self-tuning Clustering for Automatic Delimitation of Coastal Upwelling on SST Images

      Susana Nascimento, Sayed Mateen, Paulo Relvas

      • Resumen
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      págs. 434-443

      

  • Special Session on Automated Learning for Industrial Applications

    • Time Series Clustering for Knowledge Discovery on Metal Additive Manufacturing

      Marta Aramburu-Zabala Pérez, Simona Masurtschak, Ramón Moreno, Jeremy Jean Jean, Ángela Veiga

      • Resumen
      • Texto completo

      págs. 447-455

      

    • Quaternion Neural Networks: state-of-the-Art and Research Challenges

      David García Retuerta, Roberto Casado Vara, Ángel María Martín del Rey, Fernando de la Prieta Pintado, Javier Prieto Tejedor, Juan Manuel Corchado Rodríguez

      • Resumen
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      págs. 456-467

      

    • A Solar Thermal System Temperature Prediction of a Smart Building for Data Recovery and Security Purposes

      José-Luis Casteleiro-Roca, Maite García-Ordás, Esteban Jove Pérez, Francisco Zayas-Gato, Héctor Quintián Pardo, Héctor Alaiz Moretón, José Luis Calvo Rolle

      • Resumen
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      págs. 468-476

      

    • A Fault Detection System for Power Cells During Capacity Confirmation Test Through a Global One-Class Classifier

      Esteban Jove Pérez, José-Luis Casteleiro-Roca, Héctor Quintián Pardo, Francisco Zayas-Gato, José Luis Calvo Rolle

      • Resumen
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      págs. 477-484

      

    • A Deep Metric Neural Network with Disentangled Representation for Detecting Smartphone Glass Defects

      Gwang-Myong Go, Seok-Jun Bu, Sung-Bae Cho

      • Resumen
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      págs. 485-494

      

    • Improving Performance of Recommendation System Architecture

      Gil Cunha, Hugo Peixoto, José Manuel Ferreira Machado

      • Resumen
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      págs. 495-506

      

    • Automated Learning of In-vehicle Noise Representation with Triplet-Loss Embedded Convolutional Beamforming Network

      Seok-Jun Bu, Sung-Bae Cho

      • Resumen
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      págs. 507-515

      

    • Sequence Mining for Automatic Generation of Software Tests from GUI Event Traces

      Alberto Oliveira, Ricardo Freitas, Alípio Jorge, Vítor Amorim, Nuno Moniz, Ana C. R. Paiva, Paulo Azevedo

      • Resumen
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      págs. 516-523

      

    • Deep Learning Based Algorithms for Welding Edge Points Detection

      Ander Muniategui Merino, Jon Ander del Barrio, Xabier Zurutuza, Xabier Angulo, Iñaki Silanes, Uxue Irastorza, Aitor García de la Yedra Basurto, Ramón Moreno

      • Resumen
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      págs. 524-532

      

    • Detecting Performance Anomalies in the Multi-component Software a Collaborative Robot

      Héctor Quintián Pardo, Esteban Jove Pérez, José Luis Calvo Rolle, Nuño Basurto Hornillos, Carlos Cambra Baseca, Álvaro Herrero Cosío, Emilio Santiago Corchado Rodríguez

      • Resumen
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      págs. 533-540

      

    • Prediction of Small-Wind Turbine Performance from Time Series Modelling Using Intelligent Techniques

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

      • Resumen
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      págs. 541-548

      

    • Review of Trends in Automatic Human Activity Recognition Using Synthetic Audio-Visual Data

      Tiago Jesus, Júlio Duarte, Diana Ferreira, Dalila Durães, Francisco Marcondes, Flávio Arthur O. Santos, Marco Gomes, Paulo Novais, Filipe Gonçalves, Joaquim Fonseca, Nicolás Lori, António Abelha, José Manuel Ferreira Machado

      • Resumen
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      págs. 549-560

      

    • Atmospheric Tomography Using Convolutional Neural Networks

      Carlos González Gutiérrez, Olivier Beltramo Martin, J. Osborn, José Luis Calvo Rolle, Francisco Javier de Cos Juez

      • Resumen
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      págs. 561-569

      

  • Workshop on Machine Learning in Smart Mobility

    • Workshop on Machine Learning in Smart Mobility

      Sara Ferreira, Henrique Lopes Cardoso, Rosaldo J. F. Rossetti

      • Texto completo

      págs. 573-574

      

    • Driver Monitoring System Based on CNN Models: an Approach for Attention Level Detection

      Myriam Elizabeth Vaca Recalde, Joshué Pérez Rastelli, Francisco Javier Echanobe Arias

      • Resumen
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      págs. 575-583

      

    • Road Patterns Identification and Risk Analysis Based on Machine Learning Framework: powered Two-Wheelers Case

      Milad Leyli Abadi, Abderrahmane Boubezoul, Stéphane Espié

      • Resumen
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      págs. 584-593

      

    • Towards Predicting Pedestrian Paths: identifying Surroundings from Monocular Video

      José Aleixo Cruz, Thiago R. P. M. Rúbio, João Jacob, Daniel Garrido, Henrique Lopes Cardoso, Daniel Silva, Rui Rodrigues

      • Resumen
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      págs. 594-601

      

    • A Semi-automatic Object Identification Technique Combining Computer Vision and Deep Learning for the Crosswalk Detection Problem

      Thiago R. P. M. Rúbio, José Aleixo Cruz, João Jacob, Daniel Garrido, Henrique Lopes Cardoso, Daniel Silva, Rui Rodrigues

      • Resumen
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      págs. 602-609

      

    • Using Deep Learning to Construct a Real-Time Road Safety Model: modelling the Personal Attributes for Cyclist

      Faheem Ahmed Malik, Laurent Dala, Krishna Busawon

      • Resumen
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      págs. 610-619