George Papageorgiou

Orcid: 0000-0002-9361-8621

Affiliations:
  • International Hellenic University, Thessaloniki, Greece
  • National and Kapodistrian University of Athens, Greece (PhD 2016)


According to our database1, George Papageorgiou authored at least 17 papers between 2016 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Artificial intelligence for early detection of pancreatic cancer: pre-diagnostic detection across imaging, biomarkers, and EHRs: a systematic review.
Evol. Intell., June, 2026

2025
An innovative method for accurate NBA player performance forecasting and line-up optimization in daily fantasy sports.
Int. J. Data Sci. Anal., August, 2025

Adaptive sliding window normalization.
Inf. Syst., 2025

Sports Analytics for Evaluating Injury Impact on NBA Performance.
Inf., 2025

Using Machine Learning on Macroeconomic, Technical, and Sentiment Indicators for Stock Market Forecasting.
Inf., 2025

Identifying Methodological Language in Psychology Abstracts: A Machine Learning Approach Using NLP and Embedding-Based Clustering.
Big Data Cogn. Comput., 2025

Evaluating Faithfulness in Agentic RAG Systems for e-Governance Applications Using LLM-Based Judging Frameworks.
Big Data Cogn. Comput., 2025

2024
Diverse Machine Learning for Forecasting Goal-Scoring Likelihood in Elite Football Leagues.
Mach. Learn. Knowl. Extr., September, 2024

Evaluating the effectiveness of machine learning models for performance forecasting in basketball: a comparative study.
Knowl. Inf. Syst., July, 2024

Leveraging Sports Analytics and Association Rule Mining to Uncover Recovery and Economic Impacts in NBA Basketball.
Data, July, 2024

Strategic Machine Learning Optimization for Cardiovascular Disease Prediction and High-Risk Patient Identification.
Algorithms, May, 2024

Injury Patterns and Impact on Performance in the NBA League Using Sports Analytics.
Comput., February, 2024

Unsupervised Learning in NBA Injury Recovery: Advanced Data Mining to Decode Recovery Durations and Economic Impacts.
Inf., 2024

2023
Sports Analytics and Text Mining NBA Data to Assess Recovery from Injuries and Their Economic Impact.
Comput., January, 2023

A Machine Learning Approach for Effective Software Defect Detection.
Proceedings of the 14th International Conference on Information, 2023

Forecasting Goal Performance for Top League Football Players: A Comparative Study.
Proceedings of the Artificial Intelligence Applications and Innovations, 2023

2016
Robust algorithms for linear and nonlinear regression via sparse modeling methods: theory, algorithms and applications to image denoising
PhD thesis, 2016


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