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H
Hamoud Aljamaan
king fahd university of petroleum and minerals
15
H-index
48
Paper Count
774
Citation Count
0
Related Insights
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Published Papers
12
Publication Date
Publication Date
Impact Factor
Citations
Enhanced Phishing Transactions Detection on Ethereum Network with Tree-based Ensembles: An Empirical Study
blockchain: research and applications
IF
0
2026-06-12
0
OA
AI
Shikah J. Alsunaidi; Hamoud Aljamaan
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DIVE: A Multi-Label Smart Contract Vulnerability Dataset
Scientific Data
IF
6.9
2026-03-12
0
OA
AI
Shikah J. Alsunaidi; Hamoud Aljamaan; Mohammad Hammoudeh
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Leveraging Machine Learning Models to Improve Smart Contract Security: A Survey of Vulnerabilities and Detection Methods
ACM Computing Surveys
IF
28
2025-12-09
0
OA
AI
Shikah J. Alsunaidi; Hamoud Aljamaan; Mohammad Hammoudeh
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SmellyCode++: Multi-Label Dataset for Code Smell Detection
Scientific Data
IF
6.9
2025-07-12
0
OA
AI
Nawaf Alomari; Amal Alazba; Hamoud Aljamaan; Mohammad Alshayeb
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SmellyBot: An AI-Powered Software Bot for Code Smell Detection
software practice experience
IF
0
2025-07-02
0
PRE
AI
Amal Alazba; Hamoud Aljamaan; Mohammad Alshayeb
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Dynamic stacking ensemble for cross-language code smell detection
PEERJ COMPUTER SCIENCE
IF
2.5
2024-08-15
0
OA
AI
Aljamaan, Hamoud
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CoRT: Transformer-based code representations with self-supervision by predicting reserved words for code smell detection
EMPIRICAL SOFTWARE ENGINEERING
IF
3.6
2024-04-08
3
PRE
AI
Alazba, Amal; Aljamaan, Hamoud; Alshayeb, Mohammad
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Python code smells detection using conventional machine learning models
PEERJ COMPUTER SCIENCE
IF
2.5
2023-05-29
7
OA
AI
Sandouka, Rana; Aljamaan, Hamoud
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Deep learning approaches for bad smell detection: a systematic literature review
EMPIRICAL SOFTWARE ENGINEERING
IF
3.6
2023-05-11
12
PRE
AI
Alazba, Amal; Aljamaan, Hamoud; Alshayeb, Mohammad
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Code smell detection using feature selection and stacking ensemble: An empirical investigation
INFORMATION AND SOFTWARE TECHNOLOGY
IF
4.3
2021-10-01
34
PRE
AI
Alazba, Amal; Aljamaan, Hamoud
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Impact of Hyperparameter Tuning on Machine Learning Models in Stock Price Forecasting
IEEE ACCESS
IF
3.6
2021-01-01
25
OA
AI
Hoque, Kazi Ekramul; Aljamaan, Hamoud
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Three empirical studies on predicting software maintainability using ensemble methods
SOFT COMPUTING
IF
2.5
2015-01-08
50
PRE
AI
Elish, Mahmoud O.; Aljamaan, Hamoud; Ahmad, Irfan
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Research Directions
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Co-authors
Cooperation Journals
M
Mohammad Hammoudeh
H-index: 51 · Papers: 317
M
Mohammad Alshayeb
H-index: 28 · Papers: 157
I
Irfan Ahmad
H-index: 28 · Papers: 102
M
Mahmoud O. Elish
H-index: 18 · Papers: 50
S
Shikah J. Alsunaidi
H-index: 8 · Papers: 28
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