Theodoros Alexakis

According to our database, Theodoros Alexakis authored at least 16 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

AI-Driven Corruption Risk Indicator Detection: A Comparative Evaluation of Transformer-Based NLP Models in Unstructured Procurement Data.

Nikolaos Peppes, Theodoros Alexakis, Emmanouil Daskalakis, Evgenia F. Adamopoulou

Inf., 2026

2025

Evaluating Synthetic Malicious Network Traffic Generated by GAN and VAE Models: A Data Quality Perspective.

Nikolaos Peppes, Theodoros Alexakis, Emmanouil Daskalakis, Evgenia F. Adamopoulou

Future Internet, 2025

2024

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

Proceedings of the Embedded Computer Systems: Architectures, Modeling, and Simulation, 2024

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, October, 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, January, 2023

A Distributed Big Data Analytics Architecture for Vehicle Sensor Data.

Theodoros Alexakis, Nikolaos Peppes, Konstantinos P. Demestichas, Evgenia F. Adamopoulou

Sensors, 2023

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

2022

A Quality Control Methodology for Heterogeneous Vehicular Data Streams.

Konstantina Remoundou, Theodoros Alexakis, Nikolaos Peppes, Konstantinos P. Demestichas, Evgenia F. Adamopoulou

Sensors, 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 Machine Learning-Based Method for Content Verification in the E-Commerce Domain.

Theodoros Alexakis, Nikolaos Peppes, Konstantinos P. Demestichas, Evgenia F. Adamopoulou

Inf., 2022

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

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

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

2020

Survey on Security Threats in Agricultural IoT and Smart Farming.

Konstantinos P. Demestichas, Nikolaos Peppes, Theodoros Alexakis

Sensors, 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

Proceedings of the Workshop on Machine Learning for Trend and Weak Signal Detection in Social Networks and Social Media, 2020

A Semantic Engine and an Ontology Visualization Tool for Advanced Crime Analysis.

Nikolaos Peppes, Theodoros Alexakis, Evgenia F. Adamopoulou, Konstantina Remoundou, Konstantinos P. Demestichas

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 24th International Conference KES-2020, 2020