| Features that predict the acceptability of java and javascript answers on stack overflow OP Omondiagbe, SA Licorish, SG MacDonell Proceedings of the 23rd International Conference on Evaluation and …, 2019 | 10 | 2019 |
| ``virtualNicheR``: generating virtual fundamental and realised niches for use in virtual ecology experiments TR Etherington, OP Omondiagbe Journal of Open Source Software 4 (41), 1661, 2019 | 8 | 2019 |
| Soil texture prediction with automated deep convolutional neural networks and population-based learning OP Omondiagbe, L Lilburne, SA Licorish, SG MacDonell Geoderma 436, 116521, 2023 | 5 | 2023 |
| compGeometeR: an R package for computational geometry TR Etherington, OP Omondiagbe OSF Preprints: doi 10, 2021 | 3 | 2021 |
| Improving transfer learning for cross project defect prediction OP Omondiagbe, S Licorish, SG MacDonell Authorea Preprints, 2023 | 2 | 2023 |
| Negative Transfer in Cross Project Defect Prediction: Effect of Domain Divergence OP Omondiagbe, SA Licorish, SG MacDonell 2022 48th Euromicro Conference on Software Engineering and Advanced …, 2022 | 2 | 2022 |
| Evaluating simple and complex models’ performance when predicting accepted answers on stack overflow OP Omondiagbe, SA Licorish, SG Macdonell 2022 48th Euromicro Conference on Software Engineering and Advanced …, 2022 | 1 | 2022 |
| Improving transfer learning for software cross-project defect prediction OP Omondiagbe, SA Licorish, SG MacDonell Applied Intelligence, 1-24, 2024 | | 2024 |
| Improving Model Selection in Deep Supervised Transfer Learning Under Homogeneous Setting OP Omondiagbe, SG MacDonell, S Licorish Authorea Preprints, 2023 | | 2023 |
| Preventing Negative Transfer on Sentiment Analysis in Deep Transfer Learning. OP Omondiagbe, SA Licorish, SG MacDonell DL4SR@ CIKM, 2022 | | 2022 |
Sherlock A. LicorishAssociate Professor, University of OtagoVerified email at otago.ac.nz
