Abdulkerim Mohammed Yibre

According to our database, Abdulkerim Mohammed Yibre authored at least 9 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Hybrid of Ensemble Machine Learning and Nature-Inspired Algorithms for Divorce Prediction.

Kalkidan A. Sahle, Abdulkerim Mohammed Yibre

Proceedings of the Pan-African Conference on Artificial Intelligence, 2023

Development of an Explainable Heart Failure Patients Survival Status Prediction Model Using Machine Learning Algorithms.

Betimihirt Getnet Tsehay Demis, Abdulkerim Mohammed Yibre

Proceedings of the Pan-African Conference on Artificial Intelligence, 2023

Ge'ez Syntax Error Detection Using Deep Learning Approaches.

Habtamu Shiferaw Asmare, Abdulkerim Mohammed Yibre

Proceedings of the Pan-African Conference on Artificial Intelligence, 2023

Wind Power Forecasting Model Using Deep Learning Approach.

Abdulkerim Mohammed Yibre, Seblewongale Mezgebu Ayene

Proceedings of the International Conference on Information and Communication Technology for Development for Africa, 2023

Visual Acuity Classification Using Ensemble Machine Learning Algorithms: With Explainable Approach.

Rediet Yimenu Ephrem, Abdulkerim Mohammed Yibre

Proceedings of the International Conference on Information and Communication Technology for Development for Africa, 2023

Geez Part of Speech Tagging Using Deep Learning Approaches.

Habtamu Shiferaw Asmare, Abdulkerim Mohammed Yibre

Proceedings of the International Conference on Information and Communication Technology for Development for Africa, 2023

2020

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)

Abdulkerim Mohammed Yibre

PhD thesis, 2020

Improving artificial algae algorithm performance by predicting candidate solution quality.

Abdulkerim Mohammed Yibre, Baris Koçer

Expert Syst. Appl., 2020

2019

Multi-View CNN with MLP for Diagnosing Tuberculosis Patients Using CT Scans and Clinically Relevant Metadata.

Abdela Ahmed Mossa, Abdulkerim Mohammed Yibre, Ulus Çevik

Proceedings of the Working Notes of CLEF 2019, 2019