Osayande P. Omondiagbe

According to our database, Osayande P. Omondiagbe authored at least 8 papers between 2019 and 2025.

Collaborative distances:

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

2025

GBM Returns the Best Prediction Performance among Regression Approaches: A Case Study of Stack Overflow Code Quality.

Sherlock A. Licorish, Brendon J. Woodford, Lakmal Kiyaduwa Vithanage, Osayande P. Omondiagbe

CoRR, May, 2025

Understanding Regression Models on Stack Overflow Code: GBM Returns the Best Prediction Performance among Regression Techniques.

Sherlock A. Licorish, Brendon J. Woodford, Lakmal Kiyaduwa Vithanage, Osayande P. Omondiagbe

J. Softw., 2025

2024

Improving transfer learning for software cross-project defect prediction.

Osayande P. Omondiagbe, Sherlock A. Licorish, Stephen G. MacDonell

Appl. Intell., April, 2024

2022

Evaluating Simple and Complex Models' Performance When Predicting Accepted Answers on Stack Overflow.

Osayande P. Omondiagbe, Sherlock A. Licorish, Stephen G. MacDonell

Proceedings of the 48th Euromicro Conference on Software Engineering and Advanced Applications, 2022

Negative Transfer in Cross Project Defect Prediction: Effect of Domain Divergence.

Osayande P. Omondiagbe, Sherlock A. Licorish, Stephen G. MacDonell

Proceedings of the 48th Euromicro Conference on Software Engineering and Advanced Applications, 2022

Preventing Negative Transfer on Sentiment Analysis in Deep Transfer Learning.

Osayande P. Omondiagbe, Sherlock A. Licorish, Stephen G. MacDonell

Proceedings of the Workshop on Deep Learning for Search and Recommendation (DL4SR 2022) co-located with the 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), 2022

2019

virtualNicheR: generating virtual fundamental and realised niches for use in virtual ecology experiments.

Thomas R. Etherington, Osayande P. Omondiagbe

J. Open Source Softw., 2019

Features that Predict the Acceptability of Java and JavaScript Answers on Stack Overflow.

Osayande P. Omondiagbe, Sherlock A. Licorish, Stephen G. MacDonell

Proceedings of the Evaluation and Assessment on Software Engineering, 2019