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ORCID15th IWANN 2019: Gran Canaria, Spain - Part I
- Ignacio Rojas, Gonzalo Joya, Andreu Català:
Advances in Computational Intelligence - 15th International Work-Conference on Artificial Neural Networks, IWANN 2019, Gran Canaria, Spain, June 12-14, 2019, Proceedings, Part I. Lecture Notes in Computer Science 11506, Springer 2019, ISBN 978-3-030-20520-1
Machine Learning in Weather Observation and Forecasting
- Arnaud Mignan
, Marco Broccardo:
A Deeper Look into 'Deep Learning of Aftershock Patterns Following Large Earthquakes': Illustrating First Principles in Neural Network Physical Interpretability. 3-14 - Hua-Liang Wei:
Boosting Wavelet Neural Networks Using Evolutionary Algorithms for Short-Term Wind Speed Time Series Forecasting. 15-26 - José A. Godoy-Rosario, Antonio G. Ravelo-García, Pedro J. Quintana-Morales, Juan L. Navarro-Mesa:
An Approach to Rain Detection Using Sobel Image Pre-processing and Convolutional Neuronal Networks. 27-38 - Iván Guerra Moreno, Juan L. Navarro-Mesa, Antonio G. Ravelo-García, Carmen Paz Suárez Araujo:
On the Application of a Recurrent Neural Network for Rainfall Quantification Based on the Received Signal from Microwave Links. 39-51 - Sofia I. Inácio, Joaquim A. R. Azevedo:
Ambient Temperature Estimation Using WSN Links and Gaussian Process Regression. 52-62
Computational Intelligence Methods for Time Series
- Aleksandra Osowska, Stanislaw Osowski:
Voice Command Recognition Using Statistical Signal Processing and SVM. 65-73 - Karumanchi Ravikumar, Kriti Kumar, Naveen Kumar Thokala, M. Girish Chandra:
Enterprise System Response Time Prediction Using Non-stationary Function Approximations. 74-87 - Sander van Cranenburgh, Marco Kouwenhoven:
Using Artificial Neural Networks for Recovering the Value-of-Travel-Time Distribution. 88-102 - Hua-Liang Wei:
Sparse, Interpretable and Transparent Predictive Model Identification for Healthcare Data Analysis. 103-114 - Aruane Mello Pineda, Fernando Manuel Ramos, Luiz Eduardo Betting, Andriana S. L. O. Campanharo:
Use of Complex Networks for the Automatic Detection and the Diagnosis of Alzheimer's Disease. 115-126 - Carlos A. Loza, José C. Príncipe:
The Generalized Sleep Spindles Detector: A Generative Model Approach on Single-Channel EEGs. 127-138 - Nithish B. Moudhgalya, Siddharth Divi, V. Adithya Ganesan, S. Sharan Sundar, Vineeth Vijayaraghavan:
DeepTrace: A Generic Framework for Time Series Forecasting. 139-151 - Gustavo H. Tomanik, Luiz Eduardo Betting, Andriana S. L. O. Campanharo:
Automatic Identification of Interictal Epileptiform Discharges with the Use of Complex Networks. 152-161 - Marie Cottrell, Cynthia Faure, Jérôme Lacaille, Madalina Olteanu:
Anomaly Detection for Bivariate Signals. 162-173 - Naveen Kumar Thokala, S. Spoorthy, M. Girish Chandra:
A Scalable Long-Horizon Forecasting of Building Electricity Consumption. 174-185 - Naveen Kumar Thokala, Kriti Kumar, M. Girish Chandra, Karumanchi Ravikumar:
Long-Term Forecasting of Heterogenous Variables with Automatic Algorithm Selection. 186-197 - Francisco Martínez, Francisco Charte, Antonio J. Rivera, María Pilar Frías:
Automatic Time Series Forecasting with GRNN: A Comparison with Other Models. 198-209 - Serhii Polotskyi, Ivan Deriuga, Tetiana Ignatova, Volodymyr Melnyk, Hennadii Azarov:
Improving Online Handwriting Text/Non-text Classification Accuracy Under Condition of Stroke Context Absence. 210-221 - Francisco Carrillo-Perez, Luis Javier Herrera, Juan Miguel Carceller, Alberto Guillén:
Improving Classification of Ultra-High Energy Cosmic Rays Using Spacial Locality by Means of a Convolutional DNN. 222-232 - Yao Hu, Xiaoyan Sun, Yang Chen, Zishuai Lu:
Model and Feature Aggregation Based Federated Learning for Multi-sensor Time Series Trend Following. 233-246 - Renan Bessa, Guilherme A. Barreto:
Robust Echo State Network for Recursive System Identification. 247-258 - José F. Torres, David Gutiérrez-Avilés, Alicia Troncoso, Francisco Martínez-Álvarez:
Random Hyper-parameter Search-Based Deep Neural Network for Power Consumption Forecasting. 259-269 - Daniel Trujillo Viedma, Antonio Jesús Rivera Rivas, Francisco Charte Ojeda, María José del Jesus Díaz:
A First Approximation to the Effects of Classical Time Series Preprocessing Methods on LSTM Accuracy. 270-280
Human Activity Recognition
- Muhammad Faique Shakeel, Nabit A. Bajwa, Ahmad Muhammad Anwaar, Anabia Sohail, Asifullah Khan, Haroon-Ur-Rashid Khan:
Detecting Driver Drowsiness in Real Time Through Deep Learning Based Object Detection. 283-296 - Muhammad Muaaz, Ahmed Abdelgawwad, Matthias Pätzold:
The Influence of Human Walking Activities on the Doppler Characteristics of Non-stationary Indoor Channel Models. 297-309 - Juan Rafael Caro-Romero, Joaquín Ballesteros, Francisco García-Lagos, Cristina Urdiales, Francisco Sandoval:
A Neural Network for Stance Phase Detection in Smart Cane Users. 310-321 - Rainhard Dieter Findling, Le Ngu Nguyen, Stephan Sigg:
Closed-Eye Gaze Gestures: Detection and Recognition of Closed-Eye Movements with Cameras in Smart Glasses. 322-334 - Alireza Borhani, Matthias Pätzold:
RF-Based Human Activity Recognition: A Non-stationary Channel Model Incorporating the Impact of Phase Distortions. 335-346 - Kacper Skawinski, Ferran Montraveta Roca, Rainhard Dieter Findling, Stephan Sigg:
Workout Type Recognition and Repetition Counting with CNNs from 3D Acceleration Sensed on the Chest. 347-359 - Oresti Banos, Juan Manuel Galvez, Miguel Damas, Alberto Guillén, Luis Javier Herrera, Héctor Pomares, Ignacio Rojas, Claudia Villalonga:
Improving Wearable Activity Recognition via Fusion of Multiple Equally-Sized Data Subwindows. 360-367
New and Future Tendencies in Brain-Computer Interface Systems
- Álvaro Fernández-Rodríguez, María Teresa Medina-Juliá, Francisco Velasco-Álvarez, Ricardo Ron-Angevin:
Preliminary Results Using a P300 Brain-Computer Interface Speller: A Possible Interaction Effect Between Presentation Paradigm and Set of Stimuli. 371-381 - Mihaly Benda, Felix Gembler, Piotr Stawicki, Sadok Ben-Salem, Zahidul Islam, Arne Vogelsang, Ivan Volosyak:
Custom-Made Monitor for Easy High-Frequency SSVEP Stimulation. 382-393 - Felix Gembler, Piotr Stawicki, Aya Rezeika, Ivan Volosyak:
A Comparison of cVEP-Based BCI-Performance Between Different Age Groups. 394-405 - Piotr Stawicki, Felix Gembler, Roland Grichnik, Ivan Volosyak:
Remote Steering of a Mobile Robotic Car by Means of VR-Based SSVEP BCI. 406-417 - Roland Grichnik, Mihaly Benda, Ivan Volosyak:
A VR-Based Hybrid BCI Using SSVEP and Gesture Input. 418-429 - Abdul Saboor, Mihaly Benda, Felix Gembler, Ivan Volosyak:
Word Prediction Support Model for SSVEP-Based BCI Web Speller. 430-441 - Liliana García, Maud Zak, Celestin Grenier, Solene Hanrio, Dorine Henry, Romain Randriamanantena, Catherine Semal, Jean-Marc André, Véronique Lespinet-Najib, Ricardo Ron-Angevin:
Is Stress State an Important Factor in the BCI-P300 Speller Performance? 442-454
Random-Weights Neural Networks
- Peter Gergel, Igor Farkas:
Echo State Networks with Artificial Astrocytes and Hebbian Connections. 457-466 - Ivan Izonin, Roman Tkachenko, Natalia Kryvinska, Pavlo Tkachenko, Michal Gregus:
Multiple Linear Regression Based on Coefficients Identification Using Non-iterative SGTM Neural-like Structure. 467-479 - Claudio Gallicchio, Alessio Micheli:
Richness of Deep Echo State Network Dynamics. 480-491 - Yunzhe Xue, Usman Roshan:
Image Classification and Retrieval with Random Depthwise Signed Convolutional Neural Networks. 492-506 - Meiyan Xie, Usman Roshan:
Exploring Classification, Clustering, and Its Limits in a Compressed Hidden Space of a Single Layer Neural Network with Random Weights. 507-516 - Grzegorz Dudek:
Improving Randomized Learning of Feedforward Neural Networks by Appropriate Generation of Random Parameters. 517-530
Pattern Recognition
- Alexey Alexeev, Yuriy Matveev, Anton Matveev, Georgy Kukharev, Sattam Almatarneh:
Detector of Small Objects with Application to the License Plate Symbols. 533-544 - Mojtaba Kordestani, Milad Rezamand, Rupp Carriveau, David S. K. Ting, Mehrdad Saif:
Failure Diagnosis of Wind Turbine Bearing Using Feature Extraction and a Neuro-Fuzzy Inference System (ANFIS). 545-556 - Alan L. S. Matias, César L. C. Mattos, Tommi Kärkkäinen, João P. P. Gomes, Ajalmar R. da Rocha Neto:
OnMLM: An Online Formulation for the Minimal Learning Machine. 557-568 - Oscar Déniz, Noelia Vállez, Gloria Bueno García:
Adversarial Examples are a Manifestation of the Fitting-Generalization Trade-off. 569-580
Deep Learning and Natural Language Processing
- Arindam Chaudhuri:
Some Insights and Observations on Depth Issues in Deep Learning Networks. 583-595 - Zuzanna Parcheta, Germán Sanchis-Trilles, Francisco Casacuberta, Robin Redahl:
Multi-input CNN for Text Classification in Commercial Scenarios. 596-608 - Rosario Sanchis-Font, María José Castro Bleda, José-Ángel González:
Applying Sentiment Analysis with Cross-Domain Models to Evaluate User eXperience in Virtual Learning Environments. 609-620 - Bassem Bsir, Mounir Zrigui:
Document Model with Attention Bidirectional Recurrent Network for Gender Identification. 621-631 - Sebastien Delecraz, Leonor Becerra-Bonache, Alexis Nasr, Frédéric Béchet, Benoît Favre:
Visual Disambiguation of Prepositional Phrase Attachments: Multimodal Machine Learning for Syntactic Analysis Correction. 632-643 - François Jacquenet, Marc Bernard, Christine Largeron:
Meeting Summarization, A Challenge for Deep Learning. 644-655 - Adrian M. P. Brasoveanu, Razvan Andonie:
Semantic Fake News Detection: A Machine Learning Perspective. 656-667 - Octavia-Maria Sulea, Steve Young:
Unsupervised Inflection Generation Using Neural Language Modelling. 668-678 - Damián Nimo-Járquez, Magaly Margarita Narvaez-Rios, Mario Rivas-Sánchez, Andrés Yáñez, Guillermo Bárcena-González, Maria De La Paz Guerrero-Lebrero, Elisa Guerrero, Pedro L. Galindo:
AL4LA: Active Learning for Text Labeling Based on Paragraph Vectors. 679-687 - Ana Sabina Uban, Liviu P. Dinu:
On Transfer Learning for Detecting Abusive Language Online. 688-700
Software Testing and Intelligent Systems
- Damas P. Gruska, M. Carmen Ruiz:
Security Testing for Multi-Agent Systems. 703-715 - Alfredo Ibias, David Griñán, Manuel Núñez:
GPTSG: A Genetic Programming Test Suite Generator Using Information Theory Measures. 716-728 - Gregorio Díaz, Enrique Brazález, Hermenegilda Macià, Juan Boubeta-Puig, Valentín Valero:
An Intelligent System Integrating CEP and Colored Petri Nets for Helping in Decision Making About Pollution Scenarios. 729-740 - Miguel Benito-Parejo, Inmaculada Medina-Bulo, Mercedes G. Merayo, Manuel Núñez:
Using Genetic Algorithms to Generate Test Suites for FSMs. 741-752 - Iván Calvo, Mercedes G. Merayo, Manuel Núñez, Francisco Palomo-Lozano:
Conformance Relations for Fuzzy Automata. 753-765 - Nour Chetouane, Lorenz Klampfl, Franz Wotawa:
Investigating the Effectiveness of Mutation Testing Tools in the Context of Deep Neural Networks. 766-777
Data-Driven Intelligent Transportation Systems
- Ivan Izonin, Michal Gregus, Roman Tkachenko, Mykola Logoyda, Oleksandra Mishchuk, Yurii Kynash:
SGD-Based Wiener Polynomial Approximation for Missing Data Recovery in Air Pollution Monitoring Dataset. 781-793 - Oskar Wysocki, Lipika Deka, David A. Elizondo, Jacek Kropiwnicki, Jacek Czyzewicz:
Heavy Duty Vehicle Fuel Consumption Modelling Based on Exploitation Data by Using Artificial Neural Networks. 794-805 - Daniel Urda Muñoz, Juan Jesús Ruiz-Aguilar, Javier González-Enrique, Ignacio Turias Domínguez:
A Deep Ensemble Neural Network Approach to Improve Predictions of Container Inspection Volume. 806-817 - José Antonio Moscoso López, Juan Jesús Ruiz-Aguilar, Daniel Urda, Javier González-Enrique, Ignacio José Turias:
Ro-Ro Freight Forecasting Based on an ANN-SVR Hybrid Approach. Case of the Strait of Gibraltar. 818-831 - Miguel A. Molina-Cabello, Benjamin N. Passow, Enrique Domínguez, David A. Elizondo, Jolanta Obszynska:
Infering Air Quality from Traffic Data Using Transferable Neural Network Models. 832-843 - Alberto Alvarellos, Andrés Figuero, José Sande, Enrique Peña, Juan R. Rabuñal:
Deep Learning Based Ship Movement Prediction System Architecture. 844-855 - Javier González-Enrique, Juan Jesús Ruiz-Aguilar, José Antonio Moscoso López, Steffanie Van Roode, Daniel Urda, Ignacio J. Turias:
A Genetic Algorithm and Neural Network Stacking Ensemble Approach to Improve NO2 Level Estimations. 856-867
Deep Learning Models in Healthcare and Biomedicine
- Ruxandra Stoean, Catalin Stoean, Adriana Samide, Gonzalo Joya:
Convolutional Neural Network Learning Versus Traditional Segmentation for the Approximation of the Degree of Defective Surface in Titanium for Implantable Medical Devices. 871-882 - Javier León, Julio Ortega, Andrés Ortiz:
Convolutional Neural Networks and Feature Selection for BCI with Multiresolution Analysis. 883-894 - Oduwa Edo-Osagie, Iain Lake, Obaghe Edeghere, Beatriz de la Iglesia:
Attention-Based Recurrent Neural Networks (RNNs) for Short Text Classification: An Application in Public Health Monitoring. 895-911 - Guillermo López-García, José M. Jerez, Leonardo Franco, Francisco J. Veredas:
A Transfer-Learning Approach to Feature Extraction from Cancer Transcriptomes with Deep Autoencoders. 912-924 - Amen Bidani, Mohamed Salah Gouider, Carlos M. Travieso-González:
Dementia Detection and Classification from MRI Images Using Deep Neural Networks and Transfer Learning. 925-933
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