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Fadi Yamout
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2020 – today
- 2026
[j1]Fadi Yamout:
Hybrid IDK_means++: Integrating Particle Swarm Optimization for Robust and Accurate K_means Initialization. Adv. Artif. Intell. Mach. Learn. 6(1): 1-16 (2026)- 2025
[c13]Fadi Yamout, Hasan Aboul Hasan:
GPT-2++: An Optimized GPT-2 for RAG by Integrating BERT, Prompt Engineering, and Fine-Tuning. FLLM 2025: 34-37- 2024
[c12]Fadi Yamout
, Mohamad Rahal, Alia Ghaddar:
EPSO-SCR: Energy-Efficient PSO-Based Clustering Approach for Redundancy Reduction in WSNs. WiMob 2024: 539-545
2010 – 2019
- 2019
[c11]Alia Ghaddar
, Lama Darwish, Fadi Yamout
:
Identifying Mass-based local anomalies using Binary Space Partitioning. WiMob 2019: 183-190- 2018
[c10]Fadi Yamout
, Rachad Lakkis:
Improved TFIDF weighting techniques in document Retrieval. ICDIM 2018: 69-73- 2017
[c9]Mireille Makary, Michael P. Oakes
, Ruslan Mitkov, Fadi Yamout
:
Using Supervised Machine Learning to Automatically Build Relevance Judgments for a Test Collection. DEXA Workshops 2017: 108-112- 2016
[c8]Batoul Haidar, Maroun Chamoun, Fadi Yamout
:
Cyberbullying Detection: A Survey on Multilingual Techniques. EMS 2016: 165-171
[c7]Mireille Makary, Michael P. Oakes
, Fadi Yamout
:
Towards automatic generation of relevance judgments for a test collection. ICDIM 2016: 121-126
[c6]Mireille Makary, Michael P. Oakes, Fadi Yamout:
Using key phrases as new queries in building relevance judgments automatically. LWDA 2016: 175-176- 2011
[c5]Fadi Yamout:
N-Order Weight Propagation. LWA 2011: 181-186
2000 – 2009
- 2008
[b1]Fadi Yamout:
Relevance Feedback Using Weight Propagation. University of Sunderland, UK, 2008- 2007
[c4]Fadi Yamout
, Michael P. Oakes
, John Tait:
Relevance Feedback Using Weight Propagation Compared with Information-Theoretic Query Expansion. ECIR 2007: 258-270- 2006
[c3]Fadi Yamout
, Michael P. Oakes
, John Tait:
Relevance Feedback Using Weight Propagation. ECIR 2006: 575-578- 2004
[c2]Issam A. R. Moghrabi, Fadi Yamout:
A New Heuristic Rule for Classification-based Relevance Feedback. Databases and Applications 2004: 93-99
[c1]Fadi Yamout, Issam A. R. Moghrabi, Michael P. Oakes:
Query and Relevance Feedback in Latent Semantic Index with Reduced Time Complexity. Databases and Applications 2004: 191-196
Coauthor Index

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