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ORCID21st EANN 2020: online
- Lazaros Iliadis, Plamen Parvanov Angelov, Chrisina Jayne, Elias Pimenidis:
Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference - Proceedings of the EANN 2020, Halkidiki, Greece, June 5-7, 2020. Proceedings of the International Neural Networks Society 2, Springer 2020, ISBN 978-3-030-48790-4Online only because of the COVID-19 pandemic.
Classification/Machine Learning
- Georgios Tsatiris, Kostas Karpouzis, Stefanos D. Kollias:
A Compact Sequence Encoding Scheme for Online Human Activity Recognition in HRI Applications. 3-14 - Anastasios Panagiotis Psathas
, Antonios Papaleonidas, George Papathanassiou, Sotiris Valkaniotis, Lazaros S. Iliadis:
Classification of Coseismic Landslides Using Fuzzy and Machine Learning Techniques. 15-31 - Anjana Wijekoon, Nirmalie Wiratunga:
Evaluating the Transferability of Personalised Exercise Recognition Models. 32-44
Convolutional Neural Networks in Robotics/Computer Vision
- Sorin Liviu Jurj, Flavius Opritoiu, Mircea Vladutiu:
Deep Learning-Based Computer Vision Application with Multiple Built-In Data Science-Oriented Capabilities. 47-69 - Constanze Schwan, Wolfram Schenck:
Visual Movement Prediction for Stable Grasp Point Detection. 70-81
Machine Learning in Engineering and Environment
- Magdalini Tyrtaiou, Antonios Papaleonidas, Anaxagoras Elenas, Lazaros S. Iliadis:
Accomplished Reliability Level for Seismic Structural Damage Prediction Using Artificial Neural Networks. 85-98 - Sorin Liviu Jurj, Raul Rotar, Flavius Opritoiu, Mircea Vladutiu:
Efficient Implementation of a Self-sufficient Solar-Powered Real-Time Deep Learning-Based System. 99-118 - Alessandro Cennamo, Florian Kästner, Anton Kummert:
Leveraging Radar Features to Improve Point Clouds Segmentation with Neural Networks. 119-131 - Shun Matsukawa, Keita Suzuki, Chuzo Ninagawa, Junji Morikawa, Seiji Kondo:
LSTM Neural Network for Fine-Granularity Estimation on Baseline Load of Fast Demand Response. 132-142 - Harry Kontopoulos, Hatem Ahriz, Eyad Elyan, Richard Arnold:
Predicting Permeability Based on Core Analysis. 143-154 - Serafín Alonso, Antonio Morán Álvarez, Daniel Pérez, Miguel A. Prada, Juan J. Fuertes-Martínez, Manuel Domínguez:
Probabilistic Estimation of Evaporated Water in Cooling Towers Using a Generative Adversarial Network. 155-166 - Matteo Sangiorgio, Stefano Barindelli, Valerio Guglieri, Giovanna Venuti, Giorgio Guariso:
Reconstructing Environmental Variables with Missing Field Data via End-to-End Machine Learning. 167-178 - Aline de Faria Lemos, Balázs Vince Nagy:
Semantic Segmentation Based on Convolution Neural Network for Steel Strip Position Estimation. 179-189 - Evgeny Zotov, Ashutosh Tiwari, Visakan Kadirkamanathan:
Towards a Digital Twin with Generative Adversarial Network Modelling of Machining Vibration. 190-201 - Marina Kontou, Dimitrios Kapsoulis, Ioannis Baklagis, Kyriakos C. Giannakoglou:
λ-DNNs and Their Implementation in Aerodynamic and Conjugate Heat Transfer Optimization. 202-214 - Eyad Elyan, Carlos Francisco Moreno-García, Pamela Johnston:
Symbols in Engineering Drawings (SiED): An Imbalanced Dataset Benchmarked by Convolutional Neural Networks. 215-224
Deep Learning/Image Processing-Classification
- Shriya T. P. Gupta, Sanjay K. Sahay:
A Novel Spatial-Spectral Framework for the Classification of Hyperspectral Satellite Imagery. 227-239 - Pavel Gulyaev, Andrey Filchenkov:
Detection of Shocking Images as One-Class Classification Using Convolutional and Siamese Neural Networks. 240-250 - Jyoti Rawat, Doina Logofatu, Sruthi Chiramel:
Factors Affecting Accuracy of Convolutional Neural Network Using VGG-16. 251-260 - Stamatis Chatzistamatis, Anastasios Rigos, George E. Tsekouras:
Image Recoloring of Art Paintings for the Color Blind Guided by Semantic Segmentation. 261-273 - Konstantinos Demertzis, Lazaros S. Iliadis, Elias Pimenidis:
Large-Scale Geospatial Data Analysis: Geographic Object-Based Scene Classification in Remote Sensing Images by GIS and Deep Residual Learning. 274-291 - Theofanis Kalampokas, Konstantinos Tziridis, Alexandros Nikolaou, Eleni Vrochidou, George A. Papakostas, Theodore P. Pachidis, Vassilis G. Kaburlasos:
Semantic Segmentation of Vineyard Images Using Convolutional Neural Networks. 292-303 - Adamu Ali-Gombe, Eyad Elyan, Johan Zwiegelaar:
Towards a Reliable Face Recognition System. 304-316
Machine Learning in Medical Systems and Applications
- Kamran Soomro, Elias Pimenidis:
Automated Screening of Patients for Dietician Referral. 319-325 - Pengfei Liu, Xubin Zheng, Man Hon Wong, Kwong-Sak Leung:
Drug2vec: A Drug Embedding Method with Drug-Drug Interaction as the Context. 326-337 - Rafet Durgut, Yusuf Yargi Baydilli, Mehmet Emin Aydin:
Feature Selection with Artificial Bee Colony Algorithms for Classifying Parkinson's Diseases. 338-351 - Shashank Shetty, V. S. Ananthanarayana, Ajit Mahale:
Medical Knowledge-Based Deep Learning Framework for Disease Prediction on Unstructured Radiology Free-Text Reports Under Low Data Condition. 352-364 - Javier Civit-Masot, Antonis Billis, Manuel Jesus Domínguez-Morales, Saturnino Vicente Diaz, Antón Civit:
Multidataset Incremental Training for Optic Disc Segmentation. 365-376 - Kostas Delibasis, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Ilias Maglogiannis, Vassilis P. Plagianakos:
On Image Prefiltering for Skin Lesion Characterization Utilizing Deep Transfer Learning. 377-388 - Evagelos Georgios Chatzopoulos, George C. Anastassopoulos, Efstathios Detorakis, Adam V. Adamopoulos:
Identification of Eyelid Basal Cell Carcinoma Using Artificial Neural Networks. 389-396
Fuzzy Logic Modeling
- Stefanos Makariadis, Georgios Souliotis, Basil K. Papadopoulos:
Application of Algorithmic Fuzzy Implications on Climatic Data. 399-409 - Hassan B. Kazemian, Yang Ma:
Fuzzy Logic Application to Searchable Cryptography. 410-422 - Mario Malcangi:
Personal Car Driver Black Box: A Wearable System for Data Log and Prediction Based on EVOS Paradigms. 423-431
Learning/Clustering
- Paul Moggridge, Na Helian, Yi Sun, Mariana Lilley, Vito Veneziano:
Instance Weighted Clustering: Local Outlier Factor and K-Means. 435-446 - Hayam Alamro, Costas S. Iliopoulos:
Detecting Pattern Efficiently with Don't Cares. 447-459 - Olga Georgieva, Nadejda Bocheva, Bilyana Genova, Miroslava Stefanova:
Eye Movement Data Analysis. 460-470
Machine Learning for Neuro/Biological Modeling
- Rafael Dolezal, Katerina Fronckova, Ayca Kirimtat, Ondrej Krejcar:
Computational Complexity of Kabsch and Quaternion Based Algorithms for Molecular Superimposition in Computational Chemistry. 473-486 - Leonard Bernau, Filip Paulu, Jan Voves:
Electronic Equivalent of Consciousness with Elementary Mental Process Model. 487-496
Metalearning-Non Linear Engineering Modelling
- Jan Kalina, Petra Vidnerová:
A Metalearning Study for Robust Nonlinear Regression. 499-510 - Theofanis I. Aravanis, Andreas Petratos, Georgia Douklia:
An ASP-Based Approach for Phase Balancing in Power Electrical Systems. 511-520
Neural Networks Algorithmic Foundations
- Sabri Arik:
A New Lyapunov Analysis of Robust Stability of Neural Networks with Discrete Time Delays. 523-534 - Krzysztof Gajowniczek, Tomasz S. Zabkowski:
Generalized Entropy Loss Function in Neural Network: Variable's Importance and Sensitivity Analysis. 535-545 - Jan Kalina, Petra Vidnerová:
Robust Multilayer Perceptrons: Robust Loss Functions and Their Derivatives. 546-557 - Ozlem Faydasicok:
Stability Analysis of Neutral-Type Hopfield Neural Networks with Multiple Delays. 558-568 - Naohiro Ishii, Kazunori Iwata, Kazuya Odagiri, Toyoshiro Nakashima, Tokuro Matsuo:
Reduction of Variables and Generation of Functions Through Nearest Neighbor Relations in Threshold Networks. 569-578
Optimization/Machine Learning
- Gia Thuan Lam, Doina Logofatu:
A Comparative Study on Bayesian Optimization. 581-592 - Haythem Ghazouani, Walid Barhoumi, Yosra Antit:
A Genetic Programming Method for Scale-Invariant Texture Classification. 593-604 - Talitha F. Speranza, Ricardo Tanscheit, Marley M. B. R. Vellasco:
A Monetary Policy Strategy Based on Genetic Algorithms and Neural Networks. 605-616
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