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ORCID23rd EANN 2022: Chersonissos, Crete, Greece
- Lazaros Iliadis, Chrisina Jayne, Anastasios Tefas, Elias Pimenidis:
Engineering Applications of Neural Networks - 23rd International Conference, EAAAI/EANN 2022, Chersonissos, Crete, Greece, June 17-20, 2022, Proceedings. Communications in Computer and Information Science 1600, Springer 2022, ISBN 978-3-031-08222-1
Bio Inspired Modeling/Novel Neural Architectures
- Foteini D. Dervisi
, George Kyriakides, Konstantinos G. Margaritis:
Evaluating Acceleration Techniques for Genetic Neural Architecture Search. 3-14 - Naohiro Ishii, Toshinori Deguchi, Masashi Kawaguchi, Hiroshi Sasaki, Tokuro Matsuo:
Generation of Orthogonality for Feature Spaces in the Bio-inspired Neural Networks. 15-26 - Clênio E. Silva, Tiago S. César, Iago Pachêco Gomes, Júnior A. R. Silva, Denis F. Wolf, Raulcézar Alves, Jefferson R. Souza:
Route Scheduling System for Multiple Self-driving Cars Using K-means and Bio-inspired Algorithms. 27-39 - Sanaullah, Shamini Koravuna, Ulrich Rückert, Thorsten Jungeblut:
SNNs Model Analyzing and Visualizing Experimentation Using RAVSim. 40-51 - George Kyriakides, Konstantinos G. Margaritis:
The Effectiveness of Synchronous Data-parallel Differentiable Architecture Search. 52-63
Classification/Clustering - Machine Learning
- Chrisina Jayne, Victor Chang, Jozeene Bailey, Qianwen Ariel Xu:
Automatic Accent and Gender Recognition of Regional UK Speakers. 67-80 - Leon Bobrowski:
Complex Layers of Formal Neurons. 81-89 - Efthyvoulos Drousiotis, Lei Shi, Paul G. Spirakis, Simon Maskell:
Novel Decision Forest Building Techniques by Utilising Correlation Coefficient Methods. 90-102 - Peter Zachares, Vahan Hovhannisyan, Carlos Ledezma, Joao Gante, Alan Mosca:
On Forecasting Project Activity Durations with Neural Networks. 103-114 - Domenico Amato, Giosuè Lo Bosco, Raffaele Giancarlo:
On the Suitability of Neural Networks as Building Blocks for the Design of Efficient Learned Indexes. 115-127 - Kamran Soomro, Elias Pimenidis, Christopher J. McWilliams:
Supporting Patient Nutrition in Critical Care Units. 128-136
Convolutional/Deep Learning
- Aditya Gupta, Even Bringsdal, Nicole Salbuvik, Kristian Muri Knausgård, Morten Goodwin:
An Accurate Convolutional Neural Networks Approach to Wound Detection for Farmed Salmon. 139-149 - Anastasios Panagiotis Psathas, Lazaros Iliadis, Dimitra V. Achillopoulou, Antonios Papaleonidas, Nikoleta K. Stamataki, Dimitris Bountas, Ioannis M. Dokas:
Autoregressive Deep Learning Models for Bridge Strain Prediction. 150-164 - Giulia Marasco, Marco M. Rosso, Salvatore Aiello, Angelo Aloisio, Giansalvo Cirrincione, Bernardino Chiaia, Giuseppe Carlo Marano:
Ground Penetrating Radar Fourier Pre-processing for Deep Learning Tunnel Defects' Automated Classification. 165-176 - Vera Szabo, Saeed Hasan Ebrahimi, Martin Choux, Morten Goodwin:
ITSC Fault Diagnosis in Permanent Magnet Synchronous Motor Drives Using Shallow CNNs. 177-189 - Georgi Kostadinov:
Synopsis of Video Files Using Neural Networks. 190-202 - Saeed Seraj, Michalis Pavlidis, Nikolaos Polatidis:
TrojanDroid: Android Malware Detection for Trojan Discovery Using Convolutional Neural Networks. 203-212
Datamining/Learning/Autoencoders
- Valerio Bellandi, Paolo Ceravolo, Giacomo Alberto D'Andrea, Samira Maghool, Stefano Siccardi:
A Methodology to Manage Structured and Semi-structured Data in Knowledge Oriented Graph. 215-222 - Jan Motl, Pavel Kordík:
Discriminant Analysis on a Stream of Features. 223-234 - Davide Bacciu, Davide Serramazza:
Learning Image Captioning as a Structured Transduction Task. 235-246 - Serafín Alonso, Antonio Morán, Daniel Pérez, Miguel A. Prada, Juan José Fuertes, Manuel Domínguez:
Reconstructing Electricity Profiles in Submetering Systems Using a GRU-AE Network. 247-259 - Jan Motl, Pavel Kordík:
Trend and Seasonality Elimination from Relational Data. 260-268
Deep Learning/Blockchain
- Konstantinos Demertzis, Panagiotis Kikiras, Lazaros Iliadis:
A Blockchained Secure and Integrity-Preserved Architecture for Military Logistics Operations. 271-283 - Anastasios Panagiotis Psathas, Lazaros Iliadis, Antonios Papaleonidas, Dimitris Bountas:
An IoT Authentication Framework for Urban Infrastructure Security Using Blockchain and Deep Learning. 284-296 - Ioannis-Aris Kostis, Eirini Mathe, Evaggelos Spyrou, Phivos Mylonas:
Human Activity Recognition Under Partial Occlusion. 297-309 - Gabriela Suchopárová, Petra Vidnerová, Roman Neruda, Martin Smíd:
Using a Deep Neural Network in a Relative Risk Model to Estimate Vaccination Protection for COVID-19. 310-320
Machine Learning for Medical Images/Genome Classification
- Gianmarco Coppola, Antonino Fiannaca, Massimo La Rosa, Laura La Paglia, Alfonso Urso, Salvatore Gaglio:
A Gene Ontology-Driven Wide and Deep Learning Architecture for Cell-Type Classification from Single-Cell RNA-seq Data. 323-335 - Charul Giri, Jivitesh Sharma, Morten Goodwin:
Brain Tumour Segmentation on 3D MRI Using Attention V-Net. 336-348 - Eleni Gerasimidi, Lazaros Iliadis:
Development of an Algorithmic Model to Reduce Memory and Learning Deficits on Trisomic Mice. 349-360 - Dimitrios Theodoropoulos, Georgios C. Manikis, Kostas Marias, Giorgos Papadourakis:
Semantic Segmentation of Diabetic Retinopathy Lesions, Using a UNET with Pretrained Encoder. 361-371
Reinforcement/Adversarial/Echo State Neural Networks
- Will Serrano:
Echo State Networks in Data Marketplaces for Digital Content Creation. 375-385 - Pretom Kumar Saha, Doina Logofatu:
Efficient Approaches for Data Augmentation by Using Generative Adversarial Networks. 386-399 - Yoshifumi Aoki, Satoshi Goto, Yusuke Takahashi, Chuzo Ninagawa, Junji Morikawa:
Multi-track Transfer Reinforcement Learning for Power Consumption Management of Building Multi-type Air-Conditioners. 400-411 - Paschalis Lagias, George D. Magoulas, Ylli Prifti, Alessandro Provetti:
Predicting Seriousness of Injury in a Traffic Accident: A New Imbalanced Dataset and Benchmark. 412-423
Robotics/Autonomous Vehicles, Photonic Neural Networks
- Athina Oikonomou, Manos Kirtas, Nikos Passalis, George Mourgias-Alexandris, Miltiadis Moralis-Pegios, Nikos Pleros, Anastasios Tefas:
A Robust, Quantization-Aware Training Method for Photonic Neural Networks. 427-438 - Maria Tzelepi, Nikolaos Tragkas, Anastasios Tefas:
Improving Binary Semantic Scene Segmentation for Robotics Applications. 439-447 - Raúl Alves, Clênio E. Silva, Jefferson R. Souza:
Online Route Scheduling for a Team of Service Robots with MOEAs and mTSP Model. 448-460 - Martin Holen, Else-Line Malene Ruud, Narada Dilp Warakagoda, Morten Goodwin, Paal Engelstad, Kristian Muri Knausgård:
Towards Using Reinforcement Learning for Autonomous Docking of Unmanned Surface Vehicles. 461-474
Text Classification/Natural Language
- Henrik Lien, Daniel Biermann, Fabrizio Palumbo, Morten Goodwin:
An Exploration of Semi-supervised Text Classification. 477-488 - Giannis Haralabopoulos, Ioannis Anagnostopoulos:
A Custom State LSTM Cell for Text Classification Tasks. 489-504 - Alexandru Frasie, Nicoleta-Teodora Vezan, Georgiana Marian, Florin Cristian Macicasan, Camelia Lemnaru:
Enhancements on a Pipeline Approach for Abstract Meaning Representation Parsing. 505-516 - Panagiotis C. Theocharopoulos, Anastasia Tsoukala, Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Vassilis P. Plagianakos:
Text Analysis of COVID-19 Tweets. 517-528
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