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Publication search results
found 47 matches
- 2019
- Stamatios-Aggelos N. Alexandropoulos, Christos K. Aridas, Sotiris B. Kotsiantis, Michael N. Vrahatis:
A Deep Dense Neural Network for Bankruptcy Prediction. EANN 2019: 435-444 - 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. EANN 2019: 307-319 - Theofanis I. Aravanis, Tryfon-Chrysovalantis I. Aravanis, Polydoros N. Papadopoulos:
Fault Diagnosis in Direct Current Electric Motors via an Artificial Neural Network. EANN 2019: 488-498 - Arka Bhowmik, Sanjay Kumar, Neeraj Bhat:
Eye Disease Prediction from Optical Coherence Tomography Images with Transfer Learning. EANN 2019: 104-114 - Amal Bouraoui, Salma Jamoussi, Abdelmajid Ben Hamadou:
Learning Meaningful Sentence Embedding Based on Recursive Auto-encoders. EANN 2019: 197-207 - Paul Alexandru Bucur, Philipp Hungerländer:
Canonical Correlation Analysis Framework for the Reduction of Test Time in Industrial Manufacturing Quality Tests. EANN 2019: 323-334 - Vedang Chauhan, Keyur D. Joshi, Brian W. Surgenor:
Image Classification Using Deep Neural Networks: Transfer Learning and the Handling of Unknown Images. EANN 2019: 274-285 - Kennedy Chengeta:
Enhanced Feature Selection for Facial Expression Recognition Systems with Genetic Algorithms. EANN 2019: 176-187 - Valentina Colla, Ismael Matino, Stefano Dettori, Silvia Cateni, Ruben Matino:
Reservoir Computing Approaches Applied to Energy Management in Industry. EANN 2019: 66-79 - Konstantinos Demertzis, Lazaros S. Iliadis, Vardis-Dimitris Anezakis:
A Machine Hearing Framework for Real-Time Streaming Analytics Using Lambda Architecture. EANN 2019: 246-261 - Dimitrios E. Diamantis, Dimitra-Christina C. Koutsiou, Dimitrios K. Iakovidis:
Staircase Detection Using a Lightweight Look-Behind Fully Convolutional Neural Network. EANN 2019: 522-532 - George Dimas, Charis Ntakolia, Dimitrios K. Iakovidis:
Obstacle Detection Based on Generative Adversarial Networks and Fuzzy Sets for Computer-Assisted Navigation. EANN 2019: 533-544 - Beatriz A. Garro, Roberto Antonio Vázquez:
A New Generalized Neuron Model Applied to DNA Microarray Classification. EANN 2019: 125-136 - Hasniza Hassan, Syahid Anuar, Nor Bahiah Ahmad:
Students' Performance Prediction Model Using Meta-classifier Approach. EANN 2019: 221-231 - Ladislava Smítková Janku, Katerina Hyniova:
Improvement of Routing in Opportunistic Communication Networks of Vehicles by Unsupervised Machine Learning. EANN 2019: 412-423 - Nima Joorabloo, Mahdi Jalili, Yongli Ren:
A Probabilistic Graph-Based Method to Improve Recommender System Accuracy. EANN 2019: 151-163 - Iakov M. Karandashev, Boris Kryzhanovsky:
Global Minimum Depth in Edwards-Anderson Model. EANN 2019: 391-398 - Antonios Karatzoglou:
Evolutionary Optimization on Artificial Neural Networks for Predicting the User's Future Semantic Location. EANN 2019: 379-390 - Lukas Kaupp, Ulrich Beez, Jens Hülsmann, Bernhard G. Humm:
Outlier Detection in Temporal Spatial Log Data Using Autoencoder for Industry 4.0. EANN 2019: 55-65 - Nameer Al Khafaf, Mahdi Jalili, Peter Sokolowski:
Application of Deep Learning Long Short-Term Memory in Energy Demand Forecasting. EANN 2019: 31-42 - Sanjay Kumar, Manish Kumar:
Predicting Customer Churn Using Artificial Neural Network. EANN 2019: 299-306 - Lamprini Kyrkou, Christoforos Nalmpantis, Dimitris Vrakas:
Imaging Time-Series for NILM. EANN 2019: 188-196 - 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. EANN 2019: 139-150 - Mario Malcangi, Marco Malcangi:
Bioinspired Early Prediction of Earthquakes Inferred by an Evolving Fuzzy Neural Network Paradigm. EANN 2019: 361-367 - Yograj S. Mandloi, Yoshinobu Inada:
Machine Learning Approach for Drone Perception and Control. EANN 2019: 424-431 - Nagaraj Naik, Biju R. Mohan:
Stock Price Movements Classification Using Machine and Deep Learning Techniques-The Case Study of Indian Stock Market. EANN 2019: 445-452 - Nagaraj Naik, Biju R. Mohan:
Study of Stock Return Predictions Using Recurrent Neural Networks with LSTM. EANN 2019: 453-459 - Christoforos Nalmpantis, Dimitris Vrakas:
Signal2Vec: Time Series Embedding Representation. EANN 2019: 80-90 - Spyridon Nikolaidis, Ioannis Refanidis:
Learnae: Distributed and Resilient Deep Neural Network Training for Heterogeneous Peer to Peer Topologies. EANN 2019: 286-298 - Stavros Ntalampiras, Ilyas Potamitis:
Classification of Sounds Indicative of Respiratory Diseases. EANN 2019: 93-103
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