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ORCID22nd EANN 2021: Crete, Greece
- Lazaros Iliadis, John MacIntyre, Chrisina Jayne, Elias Pimenidis:
Proceedings of the 22nd Engineering Applications of Neural Networks Conference - EANN 2021, Crete, Greece, 25-27 June, 2021. Springer 2021, ISBN 978-3-030-80567-8
Adversarial Neural Networks - Classification
- Grina Wiem
, Douik Ali:
Automatic Facial Expression Neutralisation Using Generative Adversarial Network. 3-12 - Mihai Ermaliuc, Daniel Stamate, George D. Magoulas, Ida M. Pu:
Creating Ensembles of Generative Adversarial Network Discriminators for One-Class Classification. 13-23
Anomaly Detection
- Anastasios Panagiotis Psathas, Lazaros Iliadis, Antonios Papaleonidas, Dimitris Bountas:
A Hybrid Deep Learning Ensemble for Cyber Intrusion Detection. 27-41 - Ron Triepels:
Anomaly Detection by Robust Feature Reconstruction. 42-53
Classification - Medical Applications
- Nitsa J. Herzog, George D. Magoulas:
Deep Learning of Brain Asymmetry Images and Transfer Learning for Early Diagnosis of Dementia. 57-70 - Cosmin Stamate, George D. Magoulas, Michael S. C. Thomas:
Deep Learning Topology-Preserving EEG-Based Images for Autism Detection in Infants. 71-82 - George Apostolopoulos, Athanasios Koutras, Dionysios Anyfantis, Ioanna Christoyianni, Evangelos Dermatas:
Improving the Diagnosis of Breast Cancer by Combining Visual and Semantic Feature Descriptors. 83-94 - Olympia Giannou, Anastasios D. Giannou, Dimitra E. Zazara, Dörte Kleinschmidt, Tobias Mummert, Björn Ole Stüben, Michael Gerhard Kaul, Gerhard Adam, Samuel Huber, Georgios Pavlidis:
Liver Cancer Trait Detection and Classification Through Machine Learning on Smart Mobile Devices. 95-108 - Fayrouz Allam:
Using WOA with Feed Forward Neural Network in Prediction of Subcutaneous Glucose Concentration for Type-1 Diabetic Patients. 109-118
Deep Learning - Convolutional Neural Networks Modeling
- Sofia Stylianou-Nikolaidou, Ioannis Vernikos, Eirini Mathe, Evaggelos Spyrou, Phivos Mylonas:
A Novel CNN-LSTM Hybrid Architecture for the Recognition of Human Activities. 121-132 - Dror Lederman:
An Artificial Intelligence System for Endotracheal Intubation Confirmation. 133-140 - Hugues Moreau, Andrea Vassilev, Liming Chen:
Data Fusion for Deep Learning on Transport Mode Detection: A Case Study. 141-152 - Essa Q. Shahra, Wenyan Wu, Shadi Basurra, Stamatia Rizou:
Deep Learning for Water Quality Classification in Water Distribution Networks. 153-164 - Yiannis N. Kontos, Theodosios Kassandros, Konstantinos L. Katsifarakis, Kostas D. Karatzas:
Deep Learning Modeling of Groundwater Pollution Sources. 165-177 - Mahdi Abid, Grégoire Lefebvre:
Deep Neural Networks for Indoor Geomagnetic Field Fingerprinting with Regression Approach. 178-189 - Davide Rutigliano, Giacomo Boracchi, Pietro Invernizzi, Enrico Sozio, Cesare Alippi, Stefano Binetti:
Event-Detection Deep Neural Network for OTDR Trace Analysis. 190-201 - A. Caduff, Klaus Zahn, J. Hofstetter, M. Rechsteiner, P. Bucher:
Exploring the Limits of Vanilla CNN Architectures for Fine-Grained Vision-Based Vehicle Classification. 202-212 - Kazuhiko Takahashi, Reo Yokono, Chang Chu, Gauvain Huve, Masafumi Hashimoto:
fNIRS-Based BCI Using Deep Neural Network with an Application to Deduce the Driving Mode Based on the Driver's Mental State. 213-219 - Craig Pirie, Carlos Francisco Moreno-García:
Image Pre-processing and Segmentation for Real-Time Subsea Corrosion Inspection. 220-231 - Binyi Wu, Bernd Waschneck, Christian Mayr:
Squeeze-and-Threshold Based Quantization for Low-Precision Neural Networks. 232-243 - Cosimo Ieracitano, Nadia Mammone, Annunziata Paviglianiti, Francesco Carlo Morabito:
Toward an Augmented and Explainable Machine Learning Approach for Classification of Defective Nanomaterial Patches. 244-255
Face Recognition- Deep Learning - Machine Vision
- Christina Tzogka, Ioannis Refanidis:
Addressing Computer Vision Challenges Using an Active Learning Framework. 259-270 - Charalampos Symeonidis, Paraskevi Nousi, Pavlos Tosidis, Konstantinos Tsampazis, Nikolaos Passalis, Anastasios Tefas, Nikos Nikolaidis:
Efficient Realistic Data Generation Framework Leveraging Deep Learning-Based Human Digitization. 271-283 - Adamu Ali-Gombe, Eyad Elyan, Carlos Francisco Moreno-García, Johan Zwiegelaar:
Face Detection with YOLO on Edge. 284-292 - Faseela Abdullakutty, Eyad Elyan, Pamela Johnston:
Face Spoof Detection: An Experimental Framework. 293-304
Fuzzy Logic Modleing
- Asif Nawaz, Hassan B. Kazemian:
A Fuzzy Approach to Identity Resolution. 307-318 - Mario Malcangi:
Early Prediction of COVID-19 Onset by Fuzzy-Neuro Inference. 319-328
Intelligent Search - Smart Energy Grids
- Theofanis I. Aravanis, Andreas Petratos, Georgia Douklia, Efpraxia Plati:
Search Problems in Contemporary Power Girds. 331-342
Learning - Blockchain
- Konstantinos Demertzis, Lazaros Iliadis, Elias Pimenidis, Nikolaos Tziritas, Maria G. Koziri, Panagiotis Kikiras:
Blockchained Adaptive Federated Auto MetaLearning BigData and DevOps CyberSecurity Architecture in Industry 4.0. 345-363 - Spyridon Nikolaidis, Ioannis Refanidis:
Incentivizing Participation to Distributed Neural Network Training. 364-374
Machine Learning - Classification -Simulation
- Fernando H. Oliveira Duarte, Levi Welington de Resende Filho, Héctor Azpúrua, André Almeida Santos, Jefferson R. Souza, Gustavo Pessin, Rosa Elvira Correa Pabon:
Contaminated Soil Detection: A Proposal Using Machine Learning and Hyperspectral Imaging. 377-388 - Marzieh Zare, Jussi-Pekka Lehtinen, Hesam Jafarian, Ari Visa, Liisa Aha:
Drilling Operations Classification Utilizing Data Fusion and Machine Learning Techniques. 389-398 - Angelos Angelopoulos, Anastasios E. Giannopoulos, Nikolaos C. Kapsalis, Sotirios T. Spantideas, Lambros Sarakis, Stamatis Voliotis, Panagiotis Trakadas:
Impact of Classifiers to Drift Detection Method: A Comparison. 399-410 - Joshua Ramayrat, Teng-Sheng Moh:
Inverse Kinematics via a Network Ensemble and Learning Method. 411-422 - Arijit Nandi, Fatos Xhafa, Laia Subirats, Santi Fort:
Real-Time Multimodal Emotion Classification System in E-Learning Context. 423-435 - Leon Bobrowski, Tomasz Lukaszuk:
Repeatable Functionalities in Complex Layers of Formal Neurons. 436-447 - Simon Roysson, Taufik Akbar Sitompul, Rikard Lindell:
Using Artificial Neural Network to Provide Realistic Lifting Capacity in the Mobile Crane Simulation. 448-462
Recommendation systems
- Alexandros Vrochidis, Nikolaos Dimitriou, Stelios Krinidis, Savvas Panagiotidis, Stathis Parcharidis, Dimitrios Tzovaras:
A Multi-modal Audience Analysis System for Predicting Popularity of Online Videos. 465-476 - Nikolaos Polatidis, Stelios Kapetanakis, Elias Pimenidis:
Recommender Systems Algorithm Selection Using Machine Learning. 477-487
Sentiment Analysis - Natural Language -Financial Domain
- Ziyuan Ma, Conor Ryan, Jim Buckley, Muslim Chochlov:
Do Weibo Platform Experts Perform Better at Predicting Stock Market? 491-502 - Jiaying Gong, Bradley Paye, Gregory Kadlec, Hoda Eldardiry:
Predicting Stock Price Movement Using Financial News Sentiment. 503-517
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