Intelligent data engineering and automated learning -- IDEAL 2020 : 21st International Conference, Guimaraes, Portugal, November 4-6, 2020 : proceedings. Part II

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. Front Matter ....Pages i-xxv Front Matter ....Pages 1-1 A Preprocessing Approach for Class-Imbalanced Data Using SMOTE and Belief Function Theory (Fares Grina, Zied Elouedi, Eric Lefevre)....Pages 3-11 Multi-agent Based Manifold Denoising (Mohammad Mohammadi, Kerstin Bunte)....Pages 12-24 A Novel Evaluation Metric for Synthetic Data Generation (Andrea Galloni, Imre Lendák, Tomáš Horváth)....Pages 25-34 Data Pre-processing and Data Generation in the Student Flow Case Study (Luís Cavique, Paulo Pombinho, Antonio J. Tallón-Ballesteros, Luís Correia)....Pages 35-43 Enhanced Credit Prediction Using Artificial Data (Peter Mitic, James Cooper)....Pages 44-53 Data Generation Using Gene Expression Generator (Zakarya Farou, Noureddine Mouhoub, Tomáš Horváth)....Pages 54-65 Stabilization of Dataset Matrix Form for Classification Dataset Generation and Algorithm Selection (Ilya Sahipov, Alexey Zabashta, Andrey Filchenkov)....Pages 66-75 Front Matter ....Pages 77-77 Distributed Coordination of Heterogeneous Robotic Swarms Using Stochastic Diffusion Search (Eneko Osaba, Javier Del Ser, Xabier Jubeto, Andrés Iglesias, Iztok Fister Jr., Akemi Gálvez et al.)....Pages 79-91 An Intelligent Procedure for the Methodology of Energy Consumption in Industrial Environments (Izaskun Mendia, Sergio Gil-Lopez, Javier Del Ser, Iñaki Grau, Adelaida Lejarazu, Erik Maqueda et al.)....Pages 92-103 Unified Performance Measure for Binary Classification Problems (Ana R. Redondo, Jorge Navarro, Rubén R. Fernández, Isaac Martín de Diego, Javier M. Moguerza, Juan José Fernández-Muñoz)....Pages 104-112 Data Augmentation for Industrial Prognosis Using Generative Adversarial Networks (Patxi Ortego, Alberto Diez-Olivan, Javier Del Ser, Basilio Sierra)....Pages 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)....Pages 123-134 Front Matter ....Pages 135-135 Cloud Type Identification Using Data Fusion and Ensemble Learning (Javier Huertas-Tato, Alejandro Martín, David Camacho)....Pages 137-147 Deep Learning in Aeronautics: Air Traffic Trajectory Classification Based on Weather Reports (Néstor Jiménez-Campfens, Adrián Colomer, Javier Núñez, Juan M. Mogollón, Antonio L. Rodríguez, Valery Naranjo)....Pages 148-155 Analysis of Hand-Crafted and Automatic-Learned Features for Glaucoma Detection Through Raw Circumpapillary OCT Images (Gabriel García, Adrián Colomer, Valery Naranjo)....Pages 156-164 Video Semantics Quality Assessment Using Deep Learning (Rui Jesus, Bárbara Silveira, Nuno Correia)....Pages 165-172 A Deep Learning Approach for Intelligent Cockpits: Learning Drivers Routines (Carlos Fernandes, Flora Ferreira, Wolfram Erlhagen, Sérgio Monteiro, Estela Bicho)....Pages 173-183 Predicting Recurring Telecommunications Customer Support Problems Using Deep Learning (Vitor Castro, Carlos Pereira, Victor Alves)....Pages 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)....Pages 194-201 On Analysing Similarity Knowledge Transfer by Ensembles (Danilo Pereira, Flávio Santos, Leonardo N. Matos, Paulo Novais, Cleber Zanchettin, Teresa B. Ludermir)....Pages 202-210 Front Matter ....Pages 211-211 Social Network Recommender System, A Neural Network Approach (Alberto Rivas, Pablo Chamoso, Alfonso González-Briones, Juan Pavón, Juan M. Corchado)....Pages 213-222 Exploring Multi-objective Cellular Genetic Algorithms in Community Detection Problems (Martín Pedemonte, Ángel Panizo-LLedot, Gema Bello-Orgaz, David Camacho)....Pages 223-235 Front Matter ....Pages 237-237 Under-Actuation Modelling in Robotic Hands via Neural Networks for Sign Language Representation with End-User Validation (Jennifer J. Gago, Bartek Łukawski, Juan G. Victores, Carlos Balaguer)....Pages 239-251 Exploratory Data Analysis of Wind and Waves for Floating Wind Turbines in Santa María, California (Montserrat Sacie, Rafael López, Matilde Santos)....Pages 252-259 Wind Turbine Pitch Control First Approach Based on Reinforcement Learning (J. Enrique Sierra-García, Matilde Santos)....Pages 260-268 Intelligent Fuzzy Optimized Control for Energy Extraction in Large Wind Turbines (Carlos Serrano-Barreto, Matilde Santos)....Pages 269-276 Front Matter ....Pages 277-277 Autoencoder Latent Space Influence on IoT MQTT Attack Classification (María Teresa García-Ordás, Jose Aveleira-Mata, José-Luis Casteleiro-Roca, José Luis Calvo-Rolle, Carmen Benavides-Cuellar, Héctor Alaiz-Moretón)....Pages 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)....Pages 287-297 A Comparative Analysis Between Crisp and Fuzzy Data Clustering Approaches for Traditional and Bioinspired Algorithms (Amanda Coradini, Alexandre Szabo)....Pages 298-308 Bridging the Gap of Neuroscience, Philosophy, and Evolutionary Biology to Propose an Approach to Machine Learning of Human-Like Ethics (Nicolas Lori, Diana Ferreira, Victor Alves, José Machado)....Pages 309-321 Anticipating Maintenance in Telecom Installation Processes (Diana Costa, Carlos Pereira, Hugo Peixoto, José Machado)....Pages 322-334 Meta-hyperband: Hyperparameter Optimization with Meta-learning and Coarse-to-Fine (Samin Payrosangari, Afshin Sadeghi, Damien Graux, Jens Lehmann)....Pages 335-347 Stateful Optimization in Federated Learning of Neural Networks (Péter Kiss, Tomáš Horváth, Vukasin Felbab)....Pages 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)....Pages 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 et al.)....Pages 368-376 Front Matter ....Pages 377-377 Intellectual Properties of Artificial Creativity: Dismantling Originality in European’s Legal Framework (Beatriz A. Ribeiro)....Pages 379-389 Network Analysis for Fraud Detection in Portuguese Public Procurement (Davide Carneiro, Patrícia Veloso, André Ventura, Guilherme Palumbo, João Costa)....Pages 390-401 Biased Language Detection in Court Decisions (Alexandra Guedes Pinto, Henrique Lopes Cardoso, Isabel Margarida Duarte, Catarina Vaz Warrot, Rui Sousa-Silva)....Pages 402-410 Front Matter ....Pages 411-411 A One-by-One Method for Community Detection in Attributed Networks (Soroosh Shalileh, Boris Mirkin)....Pages 413-422 A Hybrid Approach to the Analysis of a Collection of Research Papers (Boris Mirkin, Dmitry Frolov, Alex Vlasov, Susana Nascimento, Trevor Fenner)....Pages 423-433 Sequential Self-tuning Clustering for Automatic Delimitation of Coastal Upwelling on SST Images (Susana Nascimento, Sayed Mateen, Paulo Relvas)....Pages 434-443 Front Matter ....Pages 445-445 Time Series Clustering for Knowledge Discovery on Metal Additive Manufacturing (Marta Aramburu-Zabala, Simona Masurtschak, Ramón Moreno, Jeremy Jean-Jean, Angela Veiga)....Pages 447-455 Quaternion Neural Networks: State-of-the-Art and Research Challenges (David García-Retuerta, Roberto Casado-Vara, Angel Martin-del Rey, Fernando De la Prieta, Javier Prieto, Juan M. Corchado)....Pages 456-467 A Solar Thermal System Temperature Prediction of a Smart Building for Data Recovery and Security Purposes (José-Luis Casteleiro-Roca, María Teresa García-Ordás, Esteban Jove, Francisco Zayas-Gato, Héctor Quintián, Héctor Alaiz-Moretón et al.)....Pages 468-476 A Fault Detection System for Power Cells During Capacity Confirmation Test Through a Global One-Class Classifier (Esteban Jove, José-Luis Casteleiro-Roca, Héctor Quintián, Francisco Zayas-Gato, José Luis Calvo-Rolle)....Pages 477-484 A Deep Metric Neural Network with Disentangled Representation for Detecting Smartphone Glass Defects (Gwang-Myong Go, Seok-Jun Bu, Sung-Bae Cho)....Pages 485-494 Improving Performance of Recommendation System Architecture (Gil Cunha, Hugo Peixoto, José Machado)....Pages 495-506 Automated Learning of In-vehicle Noise Representation with Triplet-Loss Embedded Convolutional Beamforming Network (Seok-Jun Bu, Sung-Bae Cho)....Pages 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 et al.)....Pages 516-523 Deep Learning Based Algorithms for Welding Edge Points Detection (Ander Muniategui, Jon Ander del Barrio, Xabier Zurutuza, Xabier Angulo, Iñaki Silanes, Uxue Irastorza et al.)....Pages 524-532 Detecting Performance Anomalies in the Multi-component Software a Collaborative Robot (Héctor Quintián, Esteban Jove, José Luis Calvo-Rolle, Nuño Basurto, Carlos Cambra, Álvaro Herrero et al.)....Pages 533-540 Prediction of Small-Wind Turbine Performance from Time Series Modelling Using Intelligent Techniques (Santiago Porras, Esteban Jove, Bruno Baruque, José Luis Calvo-Rolle)....Pages 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 Santos et al.)....Pages 549-560 Atmospheric Tomography Using Convolutional Neural Networks (C. González-Gutiérrez, O. Beltramo-Martin, J. Osborn, José Luís Calvo-Rolle, F. J. de Cos Juez)....Pages 561-569 Front Matter ....Pages 571-571 Workshop on Machine Learning in Smart Mobility (Sara Ferreira, Henrique Lopes Cardoso, Rosaldo J. F. Rossetti)....Pages 573-574 Driver Monitoring System Based on CNN Models: An Approach for Attention Level Detection (Myriam E. Vaca-Recalde, Joshué Pérez, Javier Echanobe)....Pages 575-583 Road Patterns Identification and Risk Analysis Based on Machine Learning Framework: Powered Two-Wheelers Case (Milad Leyli-abadi, Abderrahmane Boubezoul, Stéphane Espié)....Pages 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 et al.)....Pages 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 et al.)....Pages 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)....Pages 610-619 Back Matter ....Pages 621-624 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.