Advances in Computational Intelligence: 15th International Work-Conference on Artificial Neural Networks, IWANN 2019, Gran Canaria, Spain, June 12-14, 2019, Proceedings, Part I

Description

This two-volume set LNCS 10305 and LNCS 10306 constitutes the refereed proceedings of the 15th International Work-Conference on Artificial Neural Networks, IWANN 2019, held at Gran Canaria, Spain, in June 2019. The 150 revised full papers presented in this two-volume set were carefully reviewed and selected from 210 submissions. The papers are organized in topical sections on machine learning in weather observation and forecasting; computational intelligence methods for time series; human activity recognition; new and future tendencies in brain-computer interface systems; random-weights neural networks; pattern recognition; deep learning and natural language processing; software testing and intelligent systems; data-driven intelligent transportation systems; deep learning models in healthcare and biomedicine; deep learning beyond convolution; artificial neural network for biomedical image processing; machine learning in vision and robotics; system identification, process control, and manufacturing; image and signal processing; soft computing; mathematics for neural networks; internet modeling, communication and networking; expert systems; evolutionary and genetic algorithms; advances in computational intelligence; computational biology and bioinformatics. Front Matter ....Pages i-xxx Front Matter ....Pages 1-1 A Deeper Look into ‘Deep Learning of Aftershock Patterns Following Large Earthquakes’: Illustrating First Principles in Neural Network Physical Interpretability (Arnaud Mignan, Marco Broccardo)....Pages 3-14 Boosting Wavelet Neural Networks Using Evolutionary Algorithms for Short-Term Wind Speed Time Series Forecasting (Hua-Liang Wei)....Pages 15-26 An Approach to Rain Detection Using Sobel Image Pre-processing and Convolutional Neuronal Networks (José A. Godoy-Rosario, Antonio G. Ravelo-García, Pedro J. Quintana-Morales, Juan L. Navarro-Mesa)....Pages 27-38 On the Application of a Recurrent Neural Network for Rainfall Quantification Based on the Received Signal from Microwave Links (Ivan Guerra-Moreno, Juan L. Navarro-Mesa, Antonio G. Ravelo-García, Carmen Paz Suarez-Araujo)....Pages 39-51 Ambient Temperature Estimation Using WSN Links and Gaussian Process Regression (Sofia I. Inácio, Joaquim A. R. Azevedo)....Pages 52-62 Front Matter ....Pages 63-63 Voice Command Recognition Using Statistical Signal Processing and SVM (Aleksandra Osowska, Stanislaw Osowski)....Pages 65-73 Enterprise System Response Time Prediction Using Non-stationary Function Approximations (K. Ravikumar, Kriti Kumar, Naveen Thokala, M. Girish Chandra)....Pages 74-87 Using Artificial Neural Networks for Recovering the Value-of-Travel-Time Distribution (Sander van Cranenburgh, Marco Kouwenhoven)....Pages 88-102 Sparse, Interpretable and Transparent Predictive Model Identification for Healthcare Data Analysis (Hua-Liang Wei)....Pages 103-114 Use of Complex Networks for the Automatic Detection and the Diagnosis of Alzheimer’s Disease (Aruane Mello Pineda, Fernando M. Ramos, Luiz Eduardo Betting, Andriana S. L. O. Campanharo)....Pages 115-126 The Generalized Sleep Spindles Detector: A Generative Model Approach on Single-Channel EEGs (Carlos A. Loza, Jose C. Principe)....Pages 127-138 DeepTrace: A Generic Framework for Time Series Forecasting (Nithish B. Moudhgalya, Siddharth Divi, V. Adithya Ganesan, S. Sharan Sundar, Vineeth Vijayaraghavan)....Pages 139-151 Automatic Identification of Interictal Epileptiform Discharges with the Use of Complex Networks (Gustavo H. Tomanik, Luiz E. Betting, Andriana S. L. O. Campanharo)....Pages 152-161 Anomaly Detection for Bivariate Signals (Marie Cottrell, Cynthia Faure, Jérôme Lacaille, Madalina Olteanu)....Pages 162-173 A Scalable Long-Horizon Forecasting of Building Electricity Consumption (Naveen Kumar Thokala, S. Spoorthy, M. Girish Chandra)....Pages 174-185 Long-Term Forecasting of Heterogenous Variables with Automatic Algorithm Selection (Naveen Kumar Thokala, Kriti Kumar, M. Girish Chandra, Karumanchi Ravikumar)....Pages 186-197 Automatic Time Series Forecasting with GRNN: A Comparison with Other Models (Francisco Martínez, Francisco Charte, Antonio J. Rivera, María P. Frías)....Pages 198-209 Improving Online Handwriting Text/Non-text Classification Accuracy Under Condition of Stroke Context Absence (Serhii Polotskyi, Ivan Deriuga, Tetiana Ignatova, Volodymyr Melnyk, Hennadii Azarov)....Pages 210-221 Improving Classification of Ultra-High Energy Cosmic Rays Using Spacial Locality by Means of a Convolutional DNN (Francisco Carrillo-Perez, Luis Javier Herrera, Juan Miguel Carceller, Alberto Guillén)....Pages 222-232 Model and Feature Aggregation Based Federated Learning for Multi-sensor Time Series Trend Following (Yao Hu, Xiaoyan Sun, Yang Chen, Zishuai Lu)....Pages 233-246 Robust Echo State Network for Recursive System Identification (Renan Bessa, Guilherme A. Barreto)....Pages 247-258 Random Hyper-parameter Search-Based Deep Neural Network for Power Consumption Forecasting (J. F. Torres, D. Gutiérrez-Avilés, A. Troncoso, F. Martínez-Álvarez)....Pages 259-269 A First Approximation to the Effects of Classical Time Series Preprocessing Methods on LSTM Accuracy (Daniel Trujillo Viedma, Antonio Jesús Rivera Rivas, Francisco Charte Ojeda, María José del Jesus Díaz)....Pages 270-280 Front Matter ....Pages 281-281 Detecting Driver Drowsiness in Real Time Through Deep Learning Based Object Detection (Muhammad Faique Shakeel, Nabit A. Bajwa, Ahmad Muhammad Anwaar, Anabia Sohail, Asifullah Khan, Haroon-ur-Rashid)....Pages 283-296 The Influence of Human Walking Activities on the Doppler Characteristics of Non-stationary Indoor Channel Models (Muhammad Muaaz, Ahmed Abdelgawwad, Matthias Pätzold)....Pages 297-309 A Neural Network for Stance Phase Detection in Smart Cane Users (Juan Rafael Caro-Romero, Joaquin Ballesteros, Francisco Garcia-Lagos, Cristina Urdiales, Francisco Sandoval)....Pages 310-321 Closed-Eye Gaze Gestures: Detection and Recognition of Closed-Eye Movements with Cameras in Smart Glasses (Rainhard Dieter Findling, Le Ngu Nguyen, Stephan Sigg)....Pages 322-334 RF-Based Human Activity Recognition: A Non-stationary Channel Model Incorporating the Impact of Phase Distortions (Alireza Borhani, Matthias Pätzold)....Pages 335-346 Workout Type Recognition and Repetition Counting with CNNs from 3D Acceleration Sensed on the Chest (Kacper Skawinski, Ferran Montraveta Roca, Rainhard Dieter Findling, Stephan Sigg)....Pages 347-359 Improving Wearable Activity Recognition via Fusion of Multiple Equally-Sized Data Subwindows (Oresti Banos, Juan-Manuel Galvez, Miguel Damas, Alberto Guillen, Luis-Javier Herrera, Hector Pomares et al.)....Pages 360-367 Front Matter ....Pages 369-369 Preliminary Results Using a P300 Brain-Computer Interface Speller: A Possible Interaction Effect Between Presentation Paradigm and Set of Stimuli (Álvaro Fernández-Rodríguez, María Teresa Medina-Juliá, Francisco Velasco-Álvarez, Ricardo Ron-Angevin)....Pages 371-381 Custom-Made Monitor for Easy High-Frequency SSVEP Stimulation (Mihaly Benda, Felix Gembler, Piotr Stawicki, Sadok Ben-Salem, Zahidul Islam, Arne Vogelsang et al.)....Pages 382-393 A Comparison of cVEP-Based BCI-Performance Between Different Age Groups (Felix Gembler, Piotr Stawicki, Aya Rezeika, Ivan Volosyak)....Pages 394-405 Remote Steering of a Mobile Robotic Car by Means of VR-Based SSVEP BCI (Piotr Stawicki, Felix Gembler, Roland Grichnik, Ivan Volosyak)....Pages 406-417 A VR-Based Hybrid BCI Using SSVEP and Gesture Input (Roland Grichnik, Mihaly Benda, Ivan Volosyak)....Pages 418-429 Word Prediction Support Model for SSVEP-Based BCI Web Speller (Abdul Saboor, Mihaly Benda, Felix Gembler, Ivan Volosyak)....Pages 430-441 Is Stress State an Important Factor in the BCI-P300 Speller Performance? (Liliana Garcia, Maud Zak, Celestin Grenier, Solene Hanrio, Dorine Henry, Romain Randriamanantena et al.)....Pages 442-454 Front Matter ....Pages 455-455 Echo State Networks with Artificial Astrocytes and Hebbian Connections (Peter Gergel’, Igor Farkaš)....Pages 457-466 Multiple Linear Regression Based on Coefficients Identification Using Non-iterative SGTM Neural-like Structure (Ivan Izonin, Roman Tkachenko, Natalia Kryvinska, Pavlo Tkachenko, Michal Greguš ml.)....Pages 467-479 Richness of Deep Echo State Network Dynamics (Claudio Gallicchio, Alessio Micheli)....Pages 480-491 Image Classification and Retrieval with Random Depthwise Signed Convolutional Neural Networks (Yunzhe Xue, Usman Roshan)....Pages 492-506 Exploring Classification, Clustering, and Its Limits in a Compressed Hidden Space of a Single Layer Neural Network with Random Weights (Meiyan Xie, Usman Roshan)....Pages 507-516 Improving Randomized Learning of Feedforward Neural Networks by Appropriate Generation of Random Parameters (Grzegorz Dudek)....Pages 517-530 Front Matter ....Pages 531-531 Detector of Small Objects with Application to the License Plate Symbols (Alexey Alexeev, Yuriy Matveev, Anton Matveev, Georgy Kukharev, Sattam Almatarneh)....Pages 533-544 Failure Diagnosis of Wind Turbine Bearing Using Feature Extraction and a Neuro-Fuzzy Inference System (ANFIS) (Mojtaba Kordestani, Milad Rezamand, Rupp Carriveau, David S. K. Ting, Mehrdad Saif)....Pages 545-556 OnMLM: An Online Formulation for the Minimal Learning Machine (Alan L. S. Matias, César L. C. Mattos, Tommi Kärkkäinen, João P. P. Gomes, Ajalmar R. da Rocha Neto)....Pages 557-568 Adversarial Examples are a Manifestation of the Fitting-Generalization Trade-off (Oscar Deniz, Noelia Vallez, Gloria Bueno)....Pages 569-580 Front Matter ....Pages 581-581 Some Insights and Observations on Depth Issues in Deep Learning Networks (Arindam Chaudhuri)....Pages 583-595 Multi-input CNN for Text Classification in Commercial Scenarios (Zuzanna Parcheta, Germán Sanchis-Trilles, Francisco Casacuberta, Robin Redahl)....Pages 596-608 Applying Sentiment Analysis with Cross-Domain Models to Evaluate User eXperience in Virtual Learning Environments (Rosario Sanchis-Font, Maria Jose Castro-Bleda, José-Ángel González)....Pages 609-620 Document Model with Attention Bidirectional Recurrent Network for Gender Identification (Bassem Bsir, Mounir Zrigui)....Pages 621-631 Visual Disambiguation of Prepositional Phrase Attachments: Multimodal Machine Learning for Syntactic Analysis Correction (Sebastien Delecraz, Leonor Becerra-Bonache, Alexis Nasr, Frederic Bechet, Benoit Favre)....Pages 632-643 Meeting Summarization, A Challenge for Deep Learning (Francois Jacquenet, Marc Bernard, Christine Largeron)....Pages 644-655 Semantic Fake News Detection: A Machine Learning Perspective (Adrian M. P. Braşoveanu, Răzvan Andonie)....Pages 656-667 Unsupervised Inflection Generation Using Neural Language Modelling (Octavia-Maria Şulea, Steve Young)....Pages 668-678 AL4LA: Active Learning for Text Labeling Based on Paragraph Vectors (Damián Nimo-Járquez, Margarita Narvaez-Rios, Mario Rivas, Andrés Yáñez, Guillermo Bárcena-González, M. Paz Guerrero-Lebrero et al.)....Pages 679-687 On Transfer Learning for Detecting Abusive Language Online (Ana-Sabina Uban, Liviu P. Dinu)....Pages 688-700 Front Matter ....Pages 701-701 Security Testing for Multi-Agent Systems (Damas P. Gruska, M. Carmen Ruiz)....Pages 703-715 GPTSG: A Genetic Programming Test Suite Generator Using Information Theory Measures (Alfredo Ibias, David Griñán, Manuel Núñez)....Pages 716-728 An Intelligent System Integrating CEP and Colored Petri Nets for Helping in Decision Making About Pollution Scenarios (Gregorio Díaz, Enrique Brazález, Hermenegilda Macià, Juan Boubeta-Puig, Valentín Valero)....Pages 729-740 Using Genetic Algorithms to Generate Test Suites for FSMs (Miguel Benito-Parejo, Inmaculada Medina-Bulo, Mercedes G. Merayo, Manuel Núñez)....Pages 741-752 Conformance Relations for Fuzzy Automata (Iván Calvo, Mercedes G. Merayo, Manuel Núñez, Francisco Palomo-Lozano)....Pages 753-765 Investigating the Effectiveness of Mutation Testing Tools in the Context of Deep Neural Networks (Nour Chetouane, Lorenz Klampfl, Franz Wotawa)....Pages 766-777 Front Matter ....Pages 779-779 SGD-Based Wiener Polynomial Approximation for Missing Data Recovery in Air Pollution Monitoring Dataset (Ivan Izonin, Michal Greguš ml., Roman Tkachenko, Mykola Logoyda, Oleksandra Mishchuk, Yurii Kynash)....Pages 781-793 Heavy Duty Vehicle Fuel Consumption Modelling Based on Exploitation Data by Using Artificial Neural Networks (Oskar Wysocki, Lipika Deka, David Elizondo, Jacek Kropiwnicki, Jacek Czyżewicz)....Pages 794-805 A Deep Ensemble Neural Network Approach to Improve Predictions of Container Inspection Volume (Daniel Urda Muñoz, Juan Jesus Ruiz-Aguilar, Javier González-Enrique, Ignacio J. Turias Domínguez)....Pages 806-817 Ro-Ro Freight Forecasting Based on an ANN-SVR Hybrid Approach. Case of the Strait of Gibraltar (José Antonio Moscoso-López, Juan Jesús Ruiz-Aguilar, Daniel Urda, Javier González-Enrique, Ignacio José Turias)....Pages 818-831 Infering Air Quality from Traffic Data Using Transferable Neural Network Models (Miguel A. Molina-Cabello, Benjamin N. Passow, Enrique Dominguez, David Elizondo, Jolanta Obszynska)....Pages 832-843 Deep Learning Based Ship Movement Prediction System Architecture (Alberto Alvarellos, Andrés Figuero, José Sande, Enrique Peña, Juan Rabuñal)....Pages 844-855 A Genetic Algorithm and Neural Network Stacking Ensemble Approach to Improve NO2 Level Estimations (Javier González-Enrique, Juan Jesús Ruiz-Aguilar, José Antonio Moscoso-López, Steffanie Van Roode, Daniel Urda, Ignacio J. Turias)....Pages 856-867 Front Matter ....Pages 869-869 Convolutional Neural Network Learning Versus Traditional Segmentation for the Approximation of the Degree of Defective Surface in Titanium for Implantable Medical Devices (Ruxandra Stoean, Catalin Stoean, Adriana Samide, Gonzalo Joya)....Pages 871-882 Convolutional Neural Networks and Feature Selection for BCI with Multiresolution Analysis (Javier León, Julio Ortega, Andrés Ortiz)....Pages 883-894 Attention-Based Recurrent Neural Networks (RNNs) for Short Text Classification: An Application in Public Health Monitoring (Oduwa Edo-Osagie, Iain Lake, Obaghe Edeghere, Beatriz De La Iglesia)....Pages 895-911 A Transfer-Learning Approach to Feature Extraction from Cancer Transcriptomes with Deep Autoencoders (Guillermo López-García, José M. Jerez, Leonardo Franco, Francisco J. Veredas)....Pages 912-924 Dementia Detection and Classification from MRI Images Using Deep Neural Networks and Transfer Learning (Amen Bidani, Mohamed Salah Gouider, Carlos M. Travieso-González)....Pages 925-933 Back Matter ....Pages 935-940