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ORCID21st IDEAL 2020: Guimaraes, Portugal - Part II
- Cesar Analide
, Paulo Novais, David Camacho, Hujun Yin:
Intelligent Data Engineering and Automated Learning - IDEAL 2020 - 21st International Conference, Guimaraes, Portugal, November 4-6, 2020, Proceedings, Part II. Lecture Notes in Computer Science 12490, Springer 2020, ISBN 978-3-030-62364-7
Special Session on Data Generation and Data Pre-processing in Machine Learning
- Fares Grina, Zied Elouedi, Eric Lefevre:
A Preprocessing Approach for Class-Imbalanced Data Using SMOTE and Belief Function Theory. 3-11 - Mohammad Mohammadi, Kerstin Bunte:
Multi-agent Based Manifold Denoising. 12-24 - Andrea Galloni, Imre Lendák, Tomás Horváth:
A Novel Evaluation Metric for Synthetic Data Generation. 25-34 - Luís Cavique, Paulo Pombinho, Antonio J. Tallón-Ballesteros, Luís Correia:
Data Pre-processing and Data Generation in the Student Flow Case Study. 35-43 - Peter Mitic, James Cooper:
Enhanced Credit Prediction Using Artificial Data. 44-53 - Zakarya Farou, Noureddine Mouhoub, Tomás Horváth:
Data Generation Using Gene Expression Generator. 54-65 - Ilya Sahipov, Alexey Zabashta, Andrey Filchenkov:
Stabilization of Dataset Matrix Form for Classification Dataset Generation and Algorithm Selection. 66-75
Special Session on Optimization and Machine Learning for Industry 4.0
- Eneko Osaba, Javier Del Ser, Xabier Jubeto, Andrés Iglesias, Iztok Fister Jr., Akemi Gálvez, Iztok Fister:
Distributed Coordination of Heterogeneous Robotic Swarms Using Stochastic Diffusion Search. 79-91 - Izaskun Mendia, Sergio Gil-Lopez, Javier Del Ser, Iñaki Grau, Adelaida Lejarazu, Erik Maqueda, Eugenio Perea:
An Intelligent Procedure for the Methodology of Energy Consumption in Industrial Environments. 92-103 - Ana R. Redondo, Jorge Navarro, Rubén R. Fernández, Isaac Martín de Diego, Javier M. Moguerza, Juan José Fernández-Muñoz:
Unified Performance Measure for Binary Classification Problems. 104-112 - Patxi Ortego, Alberto Diez-Olivan, Javier Del Ser, Basilio Sierra:
Data Augmentation for Industrial Prognosis Using Generative Adversarial Networks. 113-122 - Pedro B. Santos, Marcello C. Melo, Everaldo Faustino Jr., Arismar Cerqueira S. Jr., Carmelo J. A. Bastos Filho:
A Comparison of Evolutionary Multi-objective Optimization Algorithms Applied to Antenna Design. 123-134
Special Session on Practical Applications of Deep Learning
- Javier Huertas-Tato, Alejandro Martín, David Camacho:
Cloud Type Identification Using Data Fusion and Ensemble Learning. 137-147 - Néstor Jiménez-Campfens, Adrián Colomer, Javier Núñez, Juan M. Mogollón, Antonio L. Rodríguez, Valery Naranjo:
Deep Learning in Aeronautics: Air Traffic Trajectory Classification Based on Weather Reports. 148-155 - Gabriel García, Adrián Colomer, Valery Naranjo:
Analysis of Hand-Crafted and Automatic-Learned Features for Glaucoma Detection Through Raw Circumpapillary OCT Images. 156-164 - Rui M. Jesus, Bárbara Silveira, Nuno Correia:
Video Semantics Quality Assessment Using Deep Learning. 165-172 - Carlos Fernandes, Flora J. Ferreira, Wolfram Erlhagen, Sérgio Monteiro, Estela Bicho:
A Deep Learning Approach for Intelligent Cockpits: Learning Drivers Routines. 173-183 - Vítor Castro, Carlos Pereira, Victor Alves:
Predicting Recurring Telecommunications Customer Support Problems Using Deep Learning. 184-193 - Robinson Paspuel, Marcelo Barba, Bryan Jami, Lorena Guachi-Guachi:
Pre- and Post-processing on Generative Adversarial Networks for Old Photos Restoration: A Case Study. 194-201 - Danilo Pereira, Flávio Arthur O. Santos, Leonardo N. Matos, Paulo Novais, Cleber Zanchettin, Teresa Bernarda Ludermir:
On Analysing Similarity Knowledge Transfer by Ensembles. 202-210
Special Session on New Trends and Challenges on Social Networks Analysis
- Alberto Rivas, Pablo Chamoso, Alfonso González-Briones, Juan Pavón, Juan M. Corchado:
Social Network Recommender System, A Neural Network Approach. 213-222 - Martín Pedemonte, Ángel Panizo-LLedot, Gema Bello Orgaz, David Camacho:
Exploring Multi-objective Cellular Genetic Algorithms in Community Detection Problems. 223-235
Special Session on Machine Learning in Automatic Control
- Jennifer J. Gago, Bartek Lukawski, Juan G. Victores, Carlos Balaguer:
Under-Actuation Modelling in Robotic Hands via Neural Networks for Sign Language Representation with End-User Validation. 239-251 - Montserrat Sacie, Rafael López, Matilde Santos:
Exploratory Data Analysis of Wind and Waves for Floating Wind Turbines in Santa María, California. 252-259 - Jesús Enrique Sierra-García, Matilde Santos:
Wind Turbine Pitch Control First Approach Based on Reinforcement Learning. 260-268 - Carlos Serrano-Barreto, Matilde Santos:
Intelligent Fuzzy Optimized Control for Energy Extraction in Large Wind Turbines. 269-276
Special Session on Emerging Trends in Machine Learning
- María Teresa García-Ordás, Jose Aveleira-Mata, José Luís Casteleiro-Roca, José Luís Calvo-Rolle, Carmen Benavides-Cuellar, Héctor Alaiz-Moretón:
Autoencoder Latent Space Influence on IoT MQTT Attack Classification. 279-286 - João Godinho, Sara Batista, Diogo Martinho, Luís Conceição:
A Recommendation System of Nutrition and Physical Activity for Patients with Type 2 Diabetes Mellitus. 287-297 - Amanda Coradini, Alexandre Szabo:
A Comparative Analysis Between Crisp and Fuzzy Data Clustering Approaches for Traditional and Bioinspired Algorithms. 298-308 - Nicolás F. Lori, Diana Ferreira, Victor Alves, José Machado:
Bridging the Gap of Neuroscience, Philosophy, and Evolutionary Biology to Propose an Approach to Machine Learning of Human-Like Ethics. 309-321 - Diana Costa, Carlos Pereira, Hugo Peixoto, José Machado:
Anticipating Maintenance in Telecom Installation Processes. 322-334 - Samin Payrosangari, Afshin Sadeghi, Damien Graux, Jens Lehmann:
Meta-hyperband: Hyperparameter Optimization with Meta-learning and Coarse-to-Fine. 335-347 - Péter Kiss, Tomás Horváth, Vukasin Felbab:
Stateful Optimization in Federated Learning of Neural Networks. 348-355 - Chiara Leoni, Mauro Coccoli, Ilaria Torre, Gianni Viardo Vercelli:
Talking in Italian About AI with a Chatbot: A Prototype of a Question-Answering Agent. 356-367 - Ana Coimbra, Cristiana Neto, Diana Ferreira, Júlio Duarte, Daniela Oliveira, Francini Hak, Filipe Gonçalves, Joaquim Fonseca, Nicolás F. Lori, António Abelha, José Machado:
Review of Trends in Automatic Human Activity Recognition in Vehicle Based in Synthetic Data. 368-376
Special Session on Machine Learning, Law and Legal Industry
- Beatriz Assunção Ribeiro:
Intellectual Properties of Artificial Creativity: Dismantling Originality in European's Legal Framework. 379-389 - Davide Carneiro, Patrícia Veloso, André Ventura, Guilherme Palumbo, João Costa:
Network Analysis for Fraud Detection in Portuguese Public Procurement. 390-401 - Alexandra Guedes Pinto, Henrique Lopes Cardoso, Isabel Margarida Duarte, Catarina Vaz Warrot, Rui Sousa-Silva:
Biased Language Detection in Court Decisions. 402-410
Special Session on Machine Learning Algorithms for Hard Problems
- Soroosh Shalileh, Boris G. Mirkin:
A One-by-One Method for Community Detection in Attributed Networks. 413-422 - Boris G. Mirkin, Dmitry Frolov, Alex Vlasov, Susana Nascimento, Trevor I. Fenner:
A Hybrid Approach to the Analysis of a Collection of Research Papers. 423-433 - Susana Nascimento, Sayed Mateen, Paulo Relvas:
Sequential Self-tuning Clustering for Automatic Delimitation of Coastal Upwelling on SST Images. 434-443
Special Session on Automated Learning for Industrial Applications
- Marta Aramburu-Zabala, Simona Masurtschak, Ramón Moreno, Jeremy Jean-Jean, Angela Veiga:
Time Series Clustering for Knowledge Discovery on Metal Additive Manufacturing. 447-455 - David García-Retuerta, Roberto Casado-Vara, Ángel Martín del Rey, Fernando de la Prieta, Javier Prieto, Juan M. Corchado:
Quaternion Neural Networks: State-of-the-Art and Research Challenges. 456-467 - José Luís Casteleiro-Roca, María Teresa García-Ordás, Esteban Jove, Francisco Zayas-Gato, Héctor Quintián, Héctor Alaiz-Moretón, José Luís Calvo-Rolle:
A Solar Thermal System Temperature Prediction of a Smart Building for Data Recovery and Security Purposes. 468-476 - Esteban Jove, José Luís Casteleiro-Roca, Héctor Quintián, Francisco Zayas-Gato, José Luís Calvo-Rolle:
A Fault Detection System for Power Cells During Capacity Confirmation Test Through a Global One-Class Classifier. 477-484 - Gwang-Myong Go, Seok-Jun Bu, Sung-Bae Cho:
A Deep Metric Neural Network with Disentangled Representation for Detecting Smartphone Glass Defects. 485-494 - Gil Cunha, Hugo Peixoto, José Machado:
Improving Performance of Recommendation System Architecture. 495-506 - Seok-Jun Bu, Sung-Bae Cho:
Automated Learning of In-vehicle Noise Representation with Triplet-Loss Embedded Convolutional Beamforming Network. 507-515 - Alberto Oliveira, Ricardo Freitas, Alípio Jorge, Vítor Amorim, Nuno Moniz, Ana C. R. Paiva, Paulo J. Azevedo:
Sequence Mining for Automatic Generation of Software Tests from GUI Event Traces. 516-523 - Ander Muniategui, Jon Ander del Barrio, Xabier Zurutuza, Xabier Angulo, Iñaki Silanes, Uxue Irastorza, Aitor García de la Yedra, Ramón Moreno:
Deep Learning Based Algorithms for Welding Edge Points Detection. 524-532 - Héctor Quintián, Esteban Jove, José Luís Calvo-Rolle, Nuño Basurto, Carlos Cambra, Álvaro Herrero, Emilio Corchado:
Detecting Performance Anomalies in the Multi-component Software a Collaborative Robot. 533-540 - Santiago Porras, Esteban Jove, Bruno Baruque, José Luís Calvo-Rolle:
Prediction of Small-Wind Turbine Performance from Time Series Modelling Using Intelligent Techniques. 541-548 - Tiago Jesus, Júlio Duarte, Diana Ferreira, Dalila Durães, Francisco Supino Marcondes, Flávio Arthur O. Santos, Marco Gomes, Paulo Novais, Filipe Gonçalves, Joaquim Fonseca, Nicolás F. Lori, António Abelha, José Machado:
Review of Trends in Automatic Human Activity Recognition Using Synthetic Audio-Visual Data. 549-560 - Carlos González-Gutiérrez, Olivier Beltramo-Martin, J. Osborn, José Luís Calvo-Rolle, Francisco Javier de Cos Juez:
Atmospheric Tomography Using Convolutional Neural Networks. 561-569
Workshop on Machine Learning in Smart Mobility
- Sara Ferreira, Henrique Lopes Cardoso, Rosaldo J. F. Rossetti:
Workshop on Machine Learning in Smart Mobility. 573-574 - Myriam Elizabeth Vaca Recalde, Joshué Pérez, Javier Echanobe:
Driver Monitoring System Based on CNN Models: An Approach for Attention Level Detection. 575-583 - Milad Leyli-Abadi, Abderrahmane Boubezoul, Stéphane Espié:
Road Patterns Identification and Risk Analysis Based on Machine Learning Framework: Powered Two-Wheelers Case. 584-593 - José Aleixo Cruz, Thiago R. P. M. Rúbio, João Jacob, Daniel Garrido, Henrique Lopes Cardoso, Daniel Castro Silva, Rui Rodrigues:
Towards Predicting Pedestrian Paths: Identifying Surroundings from Monocular Video. 594-601 - Thiago R. P. M. Rúbio, José Aleixo Cruz, João Jacob, Daniel Garrido, Henrique Lopes Cardoso, Daniel Castro Silva, Rui Rodrigues:
A Semi-automatic Object Identification Technique Combining Computer Vision and Deep Learning for the Crosswalk Detection Problem. 602-609 - Faheem Ahmed Malik, Laurent N. Dala, Krishna Busawon:
Using Deep Learning to Construct a Real-Time Road Safety Model; Modelling the Personal Attributes for Cyclist. 610-619
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