| Blockchain in agriculture traceability systems: A review K Demestichas, N Peppes, T Alexakis, E Adamopoulou Applied Sciences 10 (12), 4113, 2020 | 434 | 2020 |
| Survey on security threats in agricultural IoT and smart farming K Demestichas, N Peppes, T Alexakis Sensors 20 (22), 6458, 2020 | 209 | 2020 |
| Performance of machine learning-based multi-model voting ensemble methods for network threat detection in agriculture 4.0 N Peppes, E Daskalakis, T Alexakis, E Adamopoulou, K Demestichas Sensors 21 (22), 7475, 2021 | 62 | 2021 |
| Driving behaviour analysis using machine and deep learning methods for continuous streams of vehicular data N Peppes, T Alexakis, E Adamopoulou, K Demestichas Sensors 21 (14), 4704, 2021 | 45 | 2021 |
| The effectiveness of zero-day attacks data samples generated via GANs on deep learning classifiers N Peppes, T Alexakis, E Adamopoulou, K Demestichas Sensors 23 (2), 900, 2023 | 23 | 2023 |
| Comparative analysis of machine learning-based approaches for anomaly detection in vehicular data K Demestichas, T Alexakis, N Peppes, E Adamopoulou Vehicles 3 (2), 171-186, 2021 | 20 | 2021 |
| Applications of fusion techniques in e-commerce environments: A literature review E Daskalakis, K Remoundou, N Peppes, T Alexakis, K Demestichas, ... Sensors 22 (11), 3998, 2022 | 17 | 2022 |
| FoGGAN: Generating realistic Parkinson’s disease freezing of gait data using GANs N Peppes, P Tsakanikas, E Daskalakis, T Alexakis, E Adamopoulou, ... Sensors 23 (19), 8158, 2023 | 15 | 2023 |
| A distributed big data analytics architecture for vehicle sensor data T Alexakis, N Peppes, K Demestichas, E Adamopoulou Sensors 23 (1), 357, 2022 | 11 | 2022 |
| An advanced abnormal behavior detection engine embedding autoencoders for the investigation of financial transactions K Demestichas, N Peppes, T Alexakis, E Adamopoulou Information 12 (1), 34, 2021 | 9 | 2021 |
| A comparison study of generative adversarial network architectures for malicious cyber-attack data generation N Peppes, T Alexakis, K Demestichas, E Adamopoulou Applied Sciences 13 (12), 7106, 2023 | 8 | 2023 |
| A machine learning-based method for content verification in the E-commerce domain T Alexakis, N Peppes, K Demestichas, E Adamopoulou Information 13 (3), 116, 2022 | 8 | 2022 |
| An artificial intelligence-based approach for the controlled access ramp metering problem T Alexakis, N Peppes, E Adamopoulou, K Demestichas Vehicles 3 (1), 63-83, 2021 | 7 | 2021 |
| A semantic engine and an ontology visualization tool for advanced crime analysis N Peppes, T Alexakis, E Adamopoulou, K Remoundou, K Demestichas Procedia Computer Science 176, 1829-1838, 2020 | 6 | 2020 |
| Prediction and visual intelligence platform for detection of irregularities and abnormal behaviour K Demestichas, T Alexakis, N Peppes, K Remoundou, I Loumiotis, ... Detection Machine Learning for Trend and Weak Signal Detection in Social …, 2020 | 5 | 2020 |
| Malware Image Generation and Detection Method Using DCGANs and Transfer Learning N Peppes, T Alexakis, E Daskalakis, K Demestichas, E Adamopoulou IEEE Access, 2023 | 3 | 2023 |
| Knowledge Engineering for Crime Investigation W Müller, D Mühlenberg, D Pallmer, U Zeltmann, C Ellmauer, ... Proceedings of the Proceedings of World Multi-Conference on Systemics …, 2022 | 2 | 2022 |
| Evgenia Adamopoulou Blockchain in agriculture traceability systems: A review., 2020, 10, 4113 K Demestichas, N Peppes, T Alexakis DOI: https://doi. org/10.3390/app10124113, 0 | 2 | |
| Evaluation of Content Fusion Algorithms for Large and Heterogeneous Datasets T Alexakis, N Peppes, E Adamopoulou, K Demestichas, K Remoundou Security Technologies and Social Implications, 181-197, 2022 | 1 | 2022 |
| A Quality Control Methodology for Heterogeneous Vehicular Data Streams K Remoundou, T Alexakis, N Peppes, K Demestichas, E Adamopoulou Sensors 22 (4), 1550, 2022 | 1 | 2022 |