Leonidas Theodorakopoulos

Orcid: 0000-0002-0891-6780

According to our database1, Leonidas Theodorakopoulos authored at least 23 papers between 2018 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Towards LLM-Driven Cybersecurity in Autonomous Vehicles: A Big Data-Empowered Framework with Emerging Technologies.
Mach. Learn. Knowl. Extr., 2026

Big Data Analytics and AI for Consumer Behavior in Digital Marketing: Applications, Synthetic and Dark Data, and Future Directions.
Big Data Cogn. Comput., 2026

2025
Interactive Viral Marketing Through Big Data Analytics, Influencer Networks, AI Integration, and Ethical Dimensions.
J. Theor. Appl. Electron. Commer. Res., 2025

LLMs for Cybersecurity in the Big Data Era: A Comprehensive Review of Applications, Challenges, and Future Directions.
Inf., 2025

Big data in financial risk management: evidence, advances, and open questions: a systematic review.
Frontiers Artif. Intell., 2025

Optimizing Apache Spark MLlib: Predictive Performance of Large-Scale Models for Big Data Analytics.
Algorithms, 2025

LLM-Driven Big Data Management Across Digital Governance, Marketing, and Accounting: A Spark-Orchestrated Framework.
Algorithms, 2025

MCMC Methods: From Theory to Distributed Hamiltonian Monte Carlo over PySpark.
Algorithms, 2025

NeuralACT: Accounting Analytics Using Neural Network for Real-Time Decision Making From Big Data.
IEEE Access, 2025

Lessons Learned from Setting Up Kubernetes for Operations on Temporal Graph Neural Networks.
Proceedings of the 10th South-East Europe Design Automation, 2025

Functional Programming Meets Pinecone: Recommending Graph Structured Documents.
Proceedings of the IEEE International Conference on Big Data, 2025

Extractive Document Summarization with Graph Neural Networks and Topic Modeling in PyTorch.
Proceedings of the IEEE International Conference on Big Data, 2025

2024
Efficient Algorithms for Range Mode Queries in the Big Data Era.
Inf., August, 2024

TinyML Algorithms for Big Data Management in Large-Scale IoT Systems.
Future Internet, February, 2024

Distributed Bayesian Inference for Large-Scale IoT Systems.
Big Data Cogn. Comput., January, 2024

Cyber Threat Intelligence in Smart Cities: Bayesian Inference and Energy Optimization in LoRa Networks for Big Data Applications.
Proceedings of the IEEE International Conference on Big Data, 2024

2023
Autonomous Vehicles: Sophisticated Attacks, Safety Issues, Challenges, Open Topics, Blockchain, and Future Directions.
J. Cybersecur. Priv., August, 2023

Faculty members' Perceptions of Remote Electronic Examinations in Distance Academic Education.
Proceedings of the 14th International Conference on Information, 2023

2022
Tree Data Structures and Efficient Indexing Techniques for Big Data Management: A Comprehensive Study.
Proceedings of the 26th Pan-Hellenic Conference on Informatics, 2022

SparkReact: A Novel and User-friendly Graphical Interface for the Apache Spark MLlib Library.
Proceedings of the 26th Pan-Hellenic Conference on Informatics, 2022

Expanding Queries with Maximum Likelihood Estimators and Language Models.
Proceedings of the ICR'22 International Conference on Innovations in Computing Research, 2022

2018
Cheap and efficient solar energy: software and electronics.
Proceedings of the 22nd Pan-Hellenic Conference on Informatics, 2018

An Apache Spark implementation for graph-based hashtag sentiment classification on Twitter.
Proceedings of the 22nd Pan-Hellenic Conference on Informatics, 2018


  Loading...