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George 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
(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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last updated on 2026-06-27 07:06 CEST by the dblp team
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