Georgios Makridis

According to our database, Georgios Makridis authored at least 13 papers between 2020 and 2024.

Collaborative distances:

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

2024

XAI for All: Can Large Language Models Simplify Explainable AI?

Philip Mavrepis, Georgios Makridis, Georgios Fatouros, Vasileios Koukos, Maria Margarita Separdani, Dimosthenis Kyriazis

CoRR, 2024

2023

A deep learning approach using natural language processing and time-series forecasting towards enhanced food safety.

Georgios Makridis, Philip Mavrepis, Dimosthenis Kyriazis

Mach. Learn., April, 2023

Enhancing Explainability in Mobility Data Science through a combination of methods.

Georgios Makridis, Vasileios Koukos, Georgios Fatouros, Dimosthenis Kyriazis

CoRR, 2023

XAI for time-series classification leveraging image highlight methods.

Georgios Makridis, Georgios Fatouros, Vasileios Koukos, Dimitrios Kotios, Dimosthenis Kyriazis, Ioannis Soldatos

CoRR, 2023

Transforming Sentiment Analysis in the Financial Domain with ChatGPT.

Georgios Fatouros, John Soldatos, Kalliopi Kouroumali, Georgios Makridis, Dimosthenis Kyriazis

CoRR, 2023

FAME: Federated Decentralized Trusted Data Marketplace for Embedded Finance.

Argyro Mavrogiorgou, Athanasios Kiourtis, Georgios Makridis, Dimitrios Kotios, Vasileios Koukos, Dimosthenis Kyriazis, John Soldatos, Georgios Fatouros, Dimitrios Drakoulis, Pedro Maló, Martin Serrano, Mauro Isaja, Raquel Lazcano, Juan Manuel Vera, Fabiana Fournier, Lior Limonad, Konstantinos Perakis, Dimitrios Miltiadou, Pavlos Kranas, Alper Sen, Irene Zattarin, Ernesto Troiano

Proceedings of the International Conference on Smart Applications, 2023

XAI for Time-Series Classification Leveraging Image Highlight Methods.

Georgios Makridis, Georgios Fatouros, Vasileios Koukos, Dimitrios Kotios, Dimosthenis Kyriazis, John Soldatos

Proceedings of the Management of Digital EcoSystems - 15th International Conference, 2023

Enhanced Runtime-Adaptable Routing for Serverless Functions based on Performance and Cost Tradeoffs in Hybrid Cloud Settings.

Georgios Fatouros, George Kousiouris, Georgios Makridis, John Soldatos, Michael Filippakis, Dimosthenis Kyriazis

Proceedings of the IEEE International Conference on Cloud Computing Technology and Science, 2023

2022

Deep learning enhancing banking services: a hybrid transaction classification and cash flow prediction approach.

Dimitrios Kotios, Georgios Makridis, Georgios Fatouros, Dimosthenis Kyriazis

J. Big Data, 2022

XAI enhancing cyber defence against adversarial attacks in industrial applications.

Georgios Makridis, Spyros Theodoropoulos, Dimitrios Dardanis, Ioannis Makridis, Maria Margarita Separdani, Georgios Fatouros, Dimosthenis Kyriazis, Panagiotis Koulouris

Proceedings of the 5th IEEE International Conference on Image Processing Applications and Systems, 2022

Knowledge Graphs and interoperability techniques for hybrid-cloud deployment of FaaS applications.

Georgios Fatouros, Yannis Poulakis, Ariana Polyviou, Stylianos Tsarsitalidis, Georgios Makridis, John Soldatos, George Kousiouris, Michael Filippakis, Dimosthenis Kyriazis

Proceedings of the IEEE International Conference on Cloud Computing Technology and Science, 2022

2020

Predictive maintenance leveraging machine learning for time-series forecasting in the maritime industry.

Georgios Makridis, Dimosthenis Kyriazis, Stathis Plitsos

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Enhanced Food Safety Through Deep Learning for Food Recalls Prediction.

Georgios Makridis, Philip Mavrepis, Dimosthenis Kyriazis, Ioanna Polychronou, Stathis Kaloudis

Proceedings of the Discovery Science - 23rd International Conference, 2020