Georgios Makridis

Orcid: 0000-0002-6165-7239

According to our database1, Georgios Makridis authored at least 19 papers between 2020 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
XR5.0: Human-Centric AI-Enabled Extended Reality Applications for the Industry 5.0 Era.
ERCIM News, 2024

FairyLandAI: Personalized Fairy Tales utilizing ChatGPT and DALLE-3.
CoRR, 2024

XAI for All: Can Large Language Models Simplify Explainable AI?
CoRR, 2024

2023
A deep learning approach using natural language processing and time-series forecasting towards enhanced food safety.
Mach. Learn., April, 2023

Enhancing Explainability in Mobility Data Science through a combination of methods.
CoRR, 2023

XAI for time-series classification leveraging image highlight methods.
CoRR, 2023

Transforming Sentiment Analysis in the Financial Domain with ChatGPT.
CoRR, 2023


XAI for Time-Series Classification Leveraging Image Highlight Methods.
Proceedings of the Management of Digital EcoSystems - 15th International Conference, 2023

Towards a Unified Multidimensional Explainability Metric: Evaluating Trustworthiness in AI Models.
Proceedings of the 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things, 2023

Data Marketplaces: Best Practices, Challenges, and Advancements for Embedded Finance.
Proceedings of the 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things, 2023

Comprehensive Architecture for Data Quality Assessment in Industrial IoT.
Proceedings of the 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things, 2023

Enhancing Smart Agriculture Scenarios with Low-code, Pattern-oriented functionalities for Cloud/Edge collaboration.
Proceedings of the 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things, 2023

Enhanced Runtime-Adaptable Routing for Serverless Functions based on Performance and Cost Tradeoffs in Hybrid Cloud Settings.
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.
J. Big Data, 2022

XAI enhancing cyber defence against adversarial attacks in industrial applications.
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.
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.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Enhanced Food Safety Through Deep Learning for Food Recalls Prediction.
Proceedings of the Discovery Science - 23rd International Conference, 2020


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