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ORCID20th EANN 2019: Hersonissos, Crete, Greece
- John MacIntyre, Lazaros S. Iliadis, Ilias Maglogiannis, Chrisina Jayne:
Engineering Applications of Neural Networks - 20th International Conference, EANN 2019, Hersonissos, Crete, Greece, May 24-26, 2019, Proceedings. Communications in Computer and Information Science 1000, Springer 2019, ISBN 978-3-030-20256-9
Invited Paper
- Abdolreza Shirvani, B. John Oommen
:
The Power of the "Pursuit" Learning Paradigm in the Partitioning of Data. 3-16
AI in Energy Management - Industrial Applications
- Nikolaos Symeonidis, Christoforos Nalmpantis, Dimitris Vrakas:
A Benchmark Framework to Evaluate Energy Disaggregation Solutions. 19-30 - Nameer Al Khafaf, Mahdi Jalili, Peter Sokolowski:
Application of Deep Learning Long Short-Term Memory in Energy Demand Forecasting. 31-42 - Sven Myrdahl Opalic, Morten Goodwin, Lei Jiao, Henrik Kofoed Nielsen, Mohan Lal Kolhe:
Modelling of Compressors in an Industrial CO _2 -Based Operational Cooling System Using ANN for Energy Management Purposes. 43-54 - Lukas Kaupp, Ulrich Beez, Jens Hülsmann, Bernhard G. Humm:
Outlier Detection in Temporal Spatial Log Data Using Autoencoder for Industry 4.0. 55-65 - Valentina Colla, Ismael Matino, Stefano Dettori, Silvia Cateni, Ruben Matino:
Reservoir Computing Approaches Applied to Energy Management in Industry. 66-79 - Christoforos Nalmpantis, Dimitris Vrakas:
Signal2Vec: Time Series Embedding Representation. 80-90
Biomedical - Bioinformatics Modeling
- Stavros Ntalampiras, Ilyas Potamitis:
Classification of Sounds Indicative of Respiratory Diseases. 93-103 - Arka Bhowmik, Sanjay Kumar, Neeraj Bhat:
Eye Disease Prediction from Optical Coherence Tomography Images with Transfer Learning. 104-114 - Arthur Silveira, Cristian E. Muñoz, Leonardo A. F. Mendoza:
Severe Asthma Exacerbations Prediction Using Neural Networks. 115-124 - Beatriz A. Garro, Roberto Antonio Vázquez:
A New Generalized Neuron Model Applied to DNA Microarray Classification. 125-136
Classification - Learning
- Gia Thuan Lam, Doina Logofatu, Costin Badica:
A Hybrid Approach for the Fighting Game AI Challenge: Balancing Case Analysis and Monte Carlo Tree Search for the Ultimate Performance in Unknown Environment. 139-150 - Nima Joorabloo, Mahdi Jalili, Yongli Ren:
A Probabilistic Graph-Based Method to Improve Recommender System Accuracy. 151-163 - Rolandos Alexandros Potamias, Georgios Siolas, Andreas Stafylopatis:
A Robust Deep Ensemble Classifier for Figurative Language Detection. 164-175 - Kennedy Chengeta:
Enhanced Feature Selection for Facial Expression Recognition Systems with Genetic Algorithms. 176-187 - Lamprini Kyrkou, Christoforos Nalmpantis, Dimitris Vrakas:
Imaging Time-Series for NILM. 188-196 - Amal Bouraoui, Salma Jamoussi, Abdelmajid Ben Hamadou:
Learning Meaningful Sentence Embedding Based on Recursive Auto-encoders. 197-207 - Paulo Vitor de Campos Souza, Vinicius Jonathan Silva Araujo, Vanessa Souza Araujo, Lucas Oliveira Batista, Augusto Junio Guimarães:
Pruning Extreme Wavelets Learning Machine by Automatic Relevance Determination. 208-220 - Hasniza Hassan, Syahid Anuar, Nor Bahiah Ahmad:
Students' Performance Prediction Model Using Meta-classifier Approach. 221-231
Deep Learning
- Andreea-Iulia Patachi, Florin Leon, Doina Logofatu:
A Deep Network System for Simulated Autonomous Driving Using Behavioral Cloning. 235-245 - Konstantinos Demertzis, Lazaros S. Iliadis, Vardis-Dimitris Anezakis:
A Machine Hearing Framework for Real-Time Streaming Analytics Using Lambda Architecture. 246-261 - Sotiris K. Tasoulis, Georgios I. Mallis, Spiros V. Georgakopoulos, Aristidis G. Vrahatis, Vassilis P. Plagianakos, Ilias G. Maglogiannis:
Deep Learning and Change Detection for Fall Recognition. 262-273 - Vedang Chauhan, Keyur D. Joshi, Brian W. Surgenor:
Image Classification Using Deep Neural Networks: Transfer Learning and the Handling of Unknown Images. 274-285 - Spyridon Nikolaidis, Ioannis Refanidis:
Learnae: Distributed and Resilient Deep Neural Network Training for Heterogeneous Peer to Peer Topologies. 286-298 - Sanjay Kumar, Manish Kumar:
Predicting Customer Churn Using Artificial Neural Network. 299-306 - Serafín Alonso, Antonio Morán Álvarez, Daniel Pérez, Perfecto Reguera, Ignacio Díaz Blanco, Manuel Domínguez:
Virtual Sensor Based on a Deep Learning Approach for Estimating Efficiency in Chillers. 307-319
Deep Learning - Convolutional ANN
- Paul Alexandru Bucur, Philipp Hungerländer:
Canonical Correlation Analysis Framework for the Reduction of Test Time in Industrial Manufacturing Quality Tests. 323-334 - George Papadopoulos, Nikolaos Vassilas, Anastasios L. Kesidis:
Convolutional Neural Network for Detection of Building Contours Using Multisource Spatial Data. 335-346
Fuzzy - Vulnerability - Navigation Modeling
- Mike Spiliotis, Ana Iglesias, Luis Garrote:
A Meta-multicriteria Approach to Estimate Drought Vulnerability Based on Fuzzy Pattern Recognition. 349-360 - Mario Malcangi, Marco Malcangi:
Bioinspired Early Prediction of Earthquakes Inferred by an Evolving Fuzzy Neural Network Paradigm. 361-367 - Jaziar Radianti, Ioannis M. Dokas, Kees Boersma, Nadia Saad Noori, Nabil Belbachir, Stefan Stieglitz:
Enhancing Disaster Response for Hazardous Materials Using Emerging Technologies: The Role of AI and a Research Agenda. 368-376
Machine Learning Modeling - Optimization
- Antonios Karatzoglou:
Evolutionary Optimization on Artificial Neural Networks for Predicting the User's Future Semantic Location. 379-390 - Iakov M. Karandashev, Boris Kryzhanovsky:
Global Minimum Depth in Edwards-Anderson Model. 391-398 - Marco Vannucci, Valentina Colla:
Imbalanced Datasets Resampling Through Self Organizing Maps and Genetic Algorithms. 399-411 - Ladislava Smítková Janku, Katerina Hyniova:
Improvement of Routing in Opportunistic Communication Networks of Vehicles by Unsupervised Machine Learning. 412-423 - Yograj S. Mandloi, Yoshinobu Inada:
Machine Learning Approach for Drone Perception and Control. 424-431
ML - DL Financial Modeling
- Stamatios-Aggelos N. Alexandropoulos, Christos K. Aridas, Sotiris B. Kotsiantis, Michael N. Vrahatis:
A Deep Dense Neural Network for Bankruptcy Prediction. 435-444 - Nagaraj Naik, Biju R. Mohan:
Stock Price Movements Classification Using Machine and Deep Learning Techniques-The Case Study of Indian Stock Market. 445-452 - Nagaraj Naik, Biju R. Mohan:
Study of Stock Return Predictions Using Recurrent Neural Networks with LSTM. 453-459
Security - Anomaly Detection
- Daniel Pérez, Serafín Alonso, Antonio Morán Álvarez, Miguel A. Prada, Juan José Fuertes, Manuel Domínguez:
Comparison of Network Intrusion Detection Performance Using Feature Representation. 463-475 - Spyridon Papastergiou, Haralambos Mouratidis, Eleni-Maria Kalogeraki:
Cyber Security Incident Handling, Warning and Response System for the European Critical Information Infrastructures (CyberSANE). 476-487 - Theofanis I. Aravanis, Tryfon-Chrysovalantis I. Aravanis, Polydoros N. Papadopoulos:
Fault Diagnosis in Direct Current Electric Motors via an Artificial Neural Network. 488-498
1st PEINT Workshop
- Natalia Panagou, Panagiotis Oikonomou, Panos K. Papadopoulos, Maria G. Koziri, Thanasis Loukopoulos, Dimitrios K. Iakovidis:
On Predicting Bottlenecks in Wavefront Parallel Video Coding Using Deep Neural Networks. 501-510 - Antonios Papadakis, Eirini Mathe, Ioannis Vernikos, Apostolos Maniatis, Evaggelos Spyrou, Phivos Mylonas:
Recognizing Human Actions Using 3D Skeletal Information and CNNs. 511-521 - Dimitrios E. Diamantis, Dimitra-Christina C. Koutsiou, Dimitrios K. Iakovidis:
Staircase Detection Using a Lightweight Look-Behind Fully Convolutional Neural Network. 522-532 - George Dimas, Charis Ntakolia, Dimitrios K. Iakovidis:
Obstacle Detection Based on Generative Adversarial Networks and Fuzzy Sets for Computer-Assisted Navigation. 533-544
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