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ORCIDGeorge Papageorgiou 0005
Person information
- affiliation: International Hellenic University, Thessaloniki, Greece
- affiliation (PhD 2016): National and Kapodistrian University of Athens, Greece
Other persons with the same name
- George Papageorgiou — disambiguation page
- George Papageorgiou 0001 (aka: Grigorios C. Papageorgiou) — National Technical University of Athens, Department of Electrical and Computer Engineering, Greece
- George Papageorgiou 0002
![[0000-0003-3288-6419]](https://devdomain4test.ir/img/orcid-mark.12x12.png "0000-0003-3288-6419")
(aka: Georgios Papageorgiou 0002, George N. Papageorgiou, George Nathaniel Papageorgiou) — European University Cyprus, SYSTEMA Research Center, Nicosia, Cyprus - George Papageorgiou 0003 — Honeywell Aerospace Research Laboratories, Minneapolis, MN, USA (and 1 more)
- George Papageorgiou 0004 — University of California Riverside, Department of Computer Science and Engineering, CA, USA (and 1 more)
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2020 – today
- 2026
[j14]Vaia Apostolou, George Papageorgiou, Christos Tjortjis:
Artificial intelligence for early detection of pancreatic cancer: pre-diagnostic detection across imaging, biomarkers, and EHRs: a systematic review. Evol. Intell. 19(3): 89 (2026)- 2025
- [j13]Konstantinos G. Stathakis, George Papageorgiou, Christos Tjortjis:
Identifying Methodological Language in Psychology Abstracts: A Machine Learning Approach Using NLP and Embedding-Based Clustering. Big Data Cogn. Comput. 9(9): 224 (2025) - [j12]George Papageorgiou, Vangelis Sarlis, Manolis Maragoudakis, Ioannis Magnisalis, Christos Tjortjis:
Evaluating Faithfulness in Agentic RAG Systems for e-Governance Applications Using LLM-Based Judging Frameworks. Big Data Cogn. Comput. 9(12): 309 (2025) - [j11]George Papageorgiou, Vangelis Sarlis, Christos Tjortjis:
An innovative method for accurate NBA player performance forecasting and line-up optimization in daily fantasy sports. Int. J. Data Sci. Anal. 20(2): 1215-1238 (2025) - [j10]Michalis Patsiarikas, George Papageorgiou, Christos Tjortjis:
Using Machine Learning on Macroeconomic, Technical, and Sentiment Indicators for Stock Market Forecasting. Inf. 16(7): 584 (2025) - [j9]Vangelis Sarlis, George Papageorgiou, Christos Tjortjis:
Sports Analytics for Evaluating Injury Impact on NBA Performance. Inf. 16(8): 699 (2025) - [j8]George Papageorgiou, Christos Tjortjis:
Adaptive sliding window normalization. Inf. Syst. 129: 102515 (2025) - 2024
- [j7]Konstantina-Vasiliki Tompra, George Papageorgiou, Christos Tjortjis:
Strategic Machine Learning Optimization for Cardiovascular Disease Prediction and High-Risk Patient Identification. Algorithms 17(5): 178 (2024) - [j6]Vangelis Sarlis, George Papageorgiou, Christos Tjortjis:
Injury Patterns and Impact on Performance in the NBA League Using Sports Analytics. Comput. 12(2): 36 (2024) - [j5]Vangelis Sarlis, George Papageorgiou, Christos Tjortjis:
Leveraging Sports Analytics and Association Rule Mining to Uncover Recovery and Economic Impacts in NBA Basketball. Data 9(7): 83 (2024) - [j4]George Papageorgiou, Vangelis Sarlis, Christos Tjortjis:
Unsupervised Learning in NBA Injury Recovery: Advanced Data Mining to Decode Recovery Durations and Economic Impacts. Inf. 15(1): 61 (2024) - [j3]George Papageorgiou, Vangelis Sarlis, Christos Tjortjis:
Evaluating the effectiveness of machine learning models for performance forecasting in basketball: a comparative study. Knowl. Inf. Syst. 66(7): 4333-4375 (2024) - [j2]Christina Markopoulou, George Papageorgiou, Christos Tjortjis:
Diverse Machine Learning for Forecasting Goal-Scoring Likelihood in Elite Football Leagues. Mach. Learn. Knowl. Extr. 6(3): 1762-1781 (2024) - 2023
- [j1]Vangelis Sarlis, George Papageorgiou, Christos Tjortjis:
Sports Analytics and Text Mining NBA Data to Assess Recovery from Injuries and Their Economic Impact. Comput. 12(1): 261 (2023) - [c2]Nikolaos Giannakoulas, George Papageorgiou, Christos Tjortjis:
Forecasting Goal Performance for Top League Football Players: A Comparative Study. AIAI (2) 2023: 304-315 - [c1]Maria Vasileiou, George Papageorgiou, Christos Tjortjis:
A Machine Learning Approach for Effective Software Defect Detection. IISA 2023: 1-8
2010 – 2019
- 2016
- [b1]George Papageorgiou:
Robust algorithms for linear and nonlinear regression via sparse modeling methods: theory, algorithms and applications to image denoising. National and Kapodistrian University of Athens, Greece, 2016
Coauthor Index
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