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