A Semantic Engine and an Ontology Visualization Tool for Advanced Crime Analysis. - Nikolaos Peppes; Theodoros Alexakis; Evgenia F. Adamopoulou; Konstantina Remoundou; Konstantinos P. Demestichas (KES, 2020)

Prediction and Visual Intelligence Platform for Detection of Irregularities and Abnormal Behaviour (short paper). - Konstantinos P. Demestichas; Theodoros Alexakis; Nikolaos Peppes; Konstantina Remoundou; Ioannis V. Loumiotis; Wilmuth Müller; Konstantinos Avgerinakis (TWSDetection, 2020)

Survey on Security Threats in Agricultural IoT and Smart Farming. - Konstantinos P. Demestichas; Nikolaos Peppes; Theodoros Alexakis (Sensors, 2020)

An Advanced Abnormal Behavior Detection Engine Embedding Autoencoders for the Investigation of Financial Transactions. - Konstantinos P. Demestichas; Nikolaos Peppes; Theodoros Alexakis; Evgenia F. Adamopoulou (Inf., 2021)

Driving Behaviour Analysis Using Machine and Deep Learning Methods for Continuous Streams of Vehicular Data. - Nikolaos Peppes; Theodoros Alexakis; Evgenia F. Adamopoulou; Konstantinos P. Demestichas (Sensors, 2021)

Performance of Machine Learning-Based Multi-Model Voting Ensemble Methods for Network Threat Detection in Agriculture 4.0. - Nikolaos Peppes; Emmanouil Daskalakis; Theodoros Alexakis; Evgenia F. Adamopoulou; Konstantinos P. Demestichas (Sensors, 2021)

A Machine Learning-Based Method for Content Verification in the E-Commerce Domain. - Theodoros Alexakis; Nikolaos Peppes; Konstantinos P. Demestichas; Evgenia F. Adamopoulou (Inf., 2022)

Applications of Fusion Techniques in E-Commerce Environments: A Literature Review. - Emmanouil Daskalakis; Konstantina Remoundou; Nikolaos Peppes; Theodoros Alexakis; Konstantinos P. Demestichas; Evgenia F. Adamopoulou; Efstathios D. Sykas (Sensors, 2022)

A Quality Control Methodology for Heterogeneous Vehicular Data Streams. - Konstantina Remoundou; Theodoros Alexakis; Nikolaos Peppes; Konstantinos P. Demestichas; Evgenia F. Adamopoulou (Sensors, 2022)

Malware Image Generation and Detection Method Using DCGANs and Transfer Learning. - Nikolaos Peppes; Theodoros Alexakis; Emmanouil Daskalakis; Konstantinos P. Demestichas; Evgenia F. Adamopoulou (IEEE Access, 2023)

A Distributed Big Data Analytics Architecture for Vehicle Sensor Data. - Theodoros Alexakis; Nikolaos Peppes; Konstantinos P. Demestichas; Evgenia F. Adamopoulou (Sensors, 2023)

The Effectiveness of Zero-Day Attacks Data Samples Generated via GANs on Deep Learning Classifiers. - Nikolaos Peppes; Theodoros Alexakis; Evgenia F. Adamopoulou; Konstantinos P. Demestichas (Sensors, 2023)

FoGGAN: Generating Realistic Parkinson's Disease Freezing of Gait Data Using GANs. - Nikolaos Peppes; Panagiotis Tsakanikas; Emmanouil Daskalakis; Theodoros Alexakis; Evgenia F. Adamopoulou; Konstantinos P. Demestichas (Sensors, 2023)

ACRA: A Cutting-Edge Analytics Platform for Advanced Real-Time Corruption Risk Assessment and Investigation Prioritization. - Nikolaos Peppes; Emmanouil Daskalakis; Theodoros Alexakis; Evgenia F. Adamopoulou (SAMOS, 2024)