Engineering Applications of Neural Networks: 20th International Conference, EANN 2019, Xersonisos, Crete, Greece, May 24-26, 2019, Proceedings ... in Computer and Information Science, 1000)

This book constitutes the refereed proceedings of the 19th International Conference on Engineering Applications of Neural Networks, EANN 2019, held in Xersonisos, Crete, Greece, in May 2019. The 35 revised full papers and 5 revised short papers presented were carefully reviewed and selected from 72 submissions. The papers are organized in topical sections on AI in energy management - industrial applications; biomedical - bioinformatics modeling; classification - learning; deep learning; deep learning - convolutional ANN; fuzzy - vulnerability - navigation modeling; machine learning modeling - optimization; ML - DL financial modeling; security - anomaly detection; 1st PEINT workshop. Front Matter ....Pages i-xxv Front Matter ....Pages 1-1 The Power of the “Pursuit” Learning Paradigm in the Partitioning of Data (Abdolreza Shirvani, B. John Oommen)....Pages 3-16 Front Matter ....Pages 17-17 A Benchmark Framework to Evaluate Energy Disaggregation Solutions (Nikolaos Symeonidis, Christoforos Nalmpantis, Dimitris Vrakas)....Pages 19-30 Application of Deep Learning Long Short-Term Memory in Energy Demand Forecasting (Nameer Al Khafaf, Mahdi Jalili, Peter Sokolowski)....Pages 31-42 Modelling of Compressors in an Industrial CO\(_2\)-Based Operational Cooling System Using ANN for Energy Management Purposes (Sven Myrdahl Opalic, Morten Goodwin, Lei Jiao, Henrik Kofoed Nielsen, Mohan Lal Kolhe)....Pages 43-54 Outlier Detection in Temporal Spatial Log Data Using Autoencoder for Industry 4.0 (Lukas Kaupp, Ulrich Beez, Jens Hülsmann, Bernhard G. Humm)....Pages 55-65 Reservoir Computing Approaches Applied to Energy Management in Industry (Valentina Colla, Ismael Matino, Stefano Dettori, Silvia Cateni, Ruben Matino)....Pages 66-79 Signal2Vec: Time Series Embedding Representation (Christoforos Nalmpantis, Dimitris Vrakas)....Pages 80-90 Front Matter ....Pages 91-91 Classification of Sounds Indicative of Respiratory Diseases (Stavros Ntalampiras, Ilyas Potamitis)....Pages 93-103 Eye Disease Prediction from Optical Coherence Tomography Images with Transfer Learning (Arka Bhowmik, Sanjay Kumar, Neeraj Bhat)....Pages 104-114 Severe Asthma Exacerbations Prediction Using Neural Networks (Arthur Silveira, Cristian Muñoz, Leonardo Mendoza)....Pages 115-124 A New Generalized Neuron Model Applied to DNA Microarray Classification (Beatriz A. Garro, Roberto A. Vazquez)....Pages 125-136 Front Matter ....Pages 137-137 A Hybrid Approach for the Fighting Game AI Challenge: Balancing Case Analysis and Monte Carlo Tree Search for the Ultimate Performance in Unknown Environment (Lam Gia Thuan, Doina Logofătu, Costin Badică)....Pages 139-150 A Probabilistic Graph-Based Method to Improve Recommender System Accuracy (Nima Joorabloo, Mahdi Jalili, Yongli Ren)....Pages 151-163 A Robust Deep Ensemble Classifier for Figurative Language Detection (Rolandos-Alexandros Potamias, Georgios Siolas, Andreas Stafylopatis)....Pages 164-175 Enhanced Feature Selection for Facial Expression Recognition Systems with Genetic Algorithms (Kennedy Chengeta)....Pages 176-187 Imaging Time-Series for NILM (Lamprini Kyrkou, Christoforos Nalmpantis, Dimitris Vrakas)....Pages 188-196 Learning Meaningful Sentence Embedding Based on Recursive Auto-encoders (Amal Bouraoui, Salma Jamoussi, Abdelmajid Ben Hamadou)....Pages 197-207 Pruning Extreme Wavelets Learning Machine by Automatic Relevance Determination (Paulo V. de Campos Souza, Vinicius J. Silva Araujo, Vanessa S. Araujo, Lucas O. Batista, Augusto J. Guimaraes)....Pages 208-220 Students’ Performance Prediction Model Using Meta-classifier Approach (Hasniza Hassan, Syahid Anuar, Nor Bahiah Ahmad)....Pages 221-231 Front Matter ....Pages 233-233 A Deep Network System for Simulated Autonomous Driving Using Behavioral Cloning (Andreea-Iulia Patachi, Florin Leon, Doina Logofătu)....Pages 235-245 A Machine Hearing Framework for Real-Time Streaming Analytics Using Lambda Architecture (Konstantinos Demertzis, Lazaros Iliadis, Vardis-Dimitris Anezakis)....Pages 246-261 Deep Learning and Change Detection for Fall Recognition (Sotiris K. Tasoulis, Georgios I. Mallis, Spiros V. Georgakopoulos, Aristidis G. Vrahatis, Vassilis P. Plagianakos, Ilias G. Maglogiannis)....Pages 262-273 Image Classification Using Deep Neural Networks: Transfer Learning and the Handling of Unknown Images (Vedang Chauhan, Keyur D. Joshi, Brian Surgenor)....Pages 274-285 Learnae: Distributed and Resilient Deep Neural Network Training for Heterogeneous Peer to Peer Topologies (Spyridon Nikolaidis, Ioannis Refanidis)....Pages 286-298 Predicting Customer Churn Using Artificial Neural Network (Sanjay Kumar, Manish Kumar)....Pages 299-306 Virtual Sensor Based on a Deep Learning Approach for Estimating Efficiency in Chillers (Serafín Alonso, Antonio Morán, Daniel Pérez, Perfecto Reguera, Ignacio Díaz, Manuel Domínguez)....Pages 307-319 Front Matter ....Pages 321-321 Canonical Correlation Analysis Framework for the Reduction of Test Time in Industrial Manufacturing Quality Tests (Paul Alexandru Bucur, Philipp Hungerländer)....Pages 323-334 Convolutional Neural Network for Detection of Building Contours Using Multisource Spatial Data (George Papadopoulos, Nikolaos Vassilas, Anastasios Kesidis)....Pages 335-346 Front Matter ....Pages 347-347 A Meta-multicriteria Approach to Estimate Drought Vulnerability Based on Fuzzy Pattern Recognition (M. Spiliotis, A. Iglesias, L. Garrote)....Pages 349-360 Bioinspired Early Prediction of Earthquakes Inferred by an Evolving Fuzzy Neural Network Paradigm (Mario Malcangi, Marco Malcangi)....Pages 361-367 Enhancing Disaster Response for Hazardous Materials Using Emerging Technologies: The Role of AI and a Research Agenda (Jaziar Radianti, Ioannis Dokas, Kees Boersma, Nadia Saad Noori, Nabil Belbachir, Stefan Stieglitz)....Pages 368-376 Front Matter ....Pages 377-377 Evolutionary Optimization on Artificial Neural Networks for Predicting the User’s Future Semantic Location (Antonios Karatzoglou)....Pages 379-390 Global Minimum Depth in Edwards-Anderson Model (Iakov Karandashev, Boris Kryzhanovsky)....Pages 391-398 Imbalanced Datasets Resampling Through Self Organizing Maps and Genetic Algorithms (Marco Vannucci, Valentina Colla)....Pages 399-411 Improvement of Routing in Opportunistic Communication Networks of Vehicles by Unsupervised Machine Learning (Ladislava Smítková Janků, Kateřina Hyniová)....Pages 412-423 Machine Learning Approach for Drone Perception and Control (Yograj S. Mandloi, Yoshinobu Inada)....Pages 424-431 Front Matter ....Pages 433-433 A Deep Dense Neural Network for Bankruptcy Prediction (Stamatios-Aggelos N. Alexandropoulos, Christos K. Aridas, Sotiris B. Kotsiantis, Michael N. Vrahatis)....Pages 435-444 Stock Price Movements Classification Using Machine and Deep Learning Techniques-The Case Study of Indian Stock Market (Nagaraj Naik, Biju R. Mohan)....Pages 445-452 Study of Stock Return Predictions Using Recurrent Neural Networks with LSTM (Nagaraj Naik, Biju R. Mohan)....Pages 453-459 Front Matter ....Pages 461-461 Comparison of Network Intrusion Detection Performance Using Feature Representation (Daniel Pérez, Serafín Alonso, Antonio Morán, Miguel A. Prada, Juan José Fuertes, Manuel Domínguez)....Pages 463-475 Cyber Security Incident Handling, Warning and Response System for the European Critical Information Infrastructures (CyberSANE) (Spyridon Papastergiou, Haralambos Mouratidis, Eleni-Maria Kalogeraki)....Pages 476-487 Fault Diagnosis in Direct Current Electric Motors via an Artificial Neural Network (Theofanis I. Aravanis, Tryfon-Chrysovalantis I. Aravanis, Polydoros N. Papadopoulos)....Pages 488-498 Front Matter ....Pages 499-499 On Predicting Bottlenecks in Wavefront Parallel Video Coding Using Deep Neural Networks (Natalia Panagou, Panagiotis Oikonomou, Panos K. Papadopoulos, Maria Koziri, Thanasis Loukopoulos, Dimitris Iakovidis)....Pages 501-510 Recognizing Human Actions Using 3D Skeletal Information and CNNs (Antonios Papadakis, Eirini Mathe, Ioannis Vernikos, Apostolos Maniatis, Evaggelos Spyrou, Phivos Mylonas)....Pages 511-521 Staircase Detection Using a Lightweight Look-Behind Fully Convolutional Neural Network (Dimitrios E. Diamantis, Dimitra-Christina C. Koutsiou, Dimitris K. Iakovidis)....Pages 522-532 Obstacle Detection Based on Generative Adversarial Networks and Fuzzy Sets for Computer-Assisted Navigation (George Dimas, Charis Ntakolia, Dimitris K. Iakovidis)....Pages 533-544 Back Matter ....Pages 545-546