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ORCIDAbdulkerim Mohammed Yibre
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2020 – today
- 2023
[c7]Abdulkerim Mohammed Yibre
, Seblewongale Mezgebu Ayene:
Wind Power Forecasting Model Using Deep Learning Approach. ICT4DA 2023: 73-78- [c6]Rediet Yimenu Ephrem, Abdulkerim Mohammed Yibre:
Visual Acuity Classification Using Ensemble Machine Learning Algorithms: With Explainable Approach. ICT4DA 2023: 102-107 - [c5]Habtamu Shiferaw Asmare, Abdulkerim Mohammed Yibre:
Geez Part of Speech Tagging Using Deep Learning Approaches. ICT4DA 2023: 181-186 - [c4]Betimihirt Getnet Tsehay Demis, Abdulkerim Mohammed Yibre:
Development of an Explainable Heart Failure Patients Survival Status Prediction Model Using Machine Learning Algorithms. PanAfriCon AI (1) 2023: 117-137 - [c3]Habtamu Shiferaw Asmare, Abdulkerim Mohammed Yibre:
Ge'ez Syntax Error Detection Using Deep Learning Approaches. PanAfriCon AI (1) 2023: 203-220 - [c2]Kalkidan A. Sahle, Abdulkerim Mohammed Yibre:
Hybrid of Ensemble Machine Learning and Nature-Inspired Algorithms for Divorce Prediction. PanAfriCon AI (2) 2023: 242-264 - 2020
- [b1]Abdulkerim Mohammed Yibre:
Development of a novel candidate solution quality prediction approach to artificial algae algorithm (Yapay alg algoritması için yeni bir aday çözüm kalite tahmin yaklaşımı geliştirilmesi). Selçuk University, Turkey, 2020 - [j1]Abdulkerim Mohammed Yibre, Baris Koçer:
Improving artificial algae algorithm performance by predicting candidate solution quality. Expert Syst. Appl. 150: 113298 (2020)
2010 – 2019
- 2019
- [c1]Abdela Ahmed Mossa, Abdulkerim Mohammed Yibre, Ulus Çevik:
Multi-View CNN with MLP for Diagnosing Tuberculosis Patients Using CT Scans and Clinically Relevant Metadata. CLEF (Working Notes) 2019
Coauthor Index
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