Mr Abin Zorto
| Name | Mr Abin Zorto |
|---|---|
| ORCID | https://orcid.org/0000-0001-8433-4953 |
| Email address | u2091940@uel.ac.uk |
| Research institute | Architecture, Computing & Engineering |
Research outputs
Machine Learning-Based Techniques for Assessing Critical Factors for European Tick Abundance
Zorto, A., Lansdell, S., Seto, M., Gobena, E., Sharif, S. and Cutler, S. 2024. Machine Learning-Based Techniques for Assessing Critical Factors for European Tick Abundance. ICCSIT 2024: 17th International Conference on Computer Science and Information Technology. Dubai, UAE 23 - 25 Oct 2024Performance Evaluation of Ensemble Deep Learning Algorithms for Prediction of Pandemic Disease
Sharif, S., Zorto, A. and Aluko, A. 2023. Performance Evaluation of Ensemble Deep Learning Algorithms for Prediction of Pandemic Disease. ICICIS 2023:11th IEEE International Conference on Intelligent Computing and Information Systems. Cairo, Egypt 21 - 23 Nov 2023 IEEE. https://doi.org/10.1109/ICICIS58388.2023.10391139Conditional Tabular Generative Adversarial Net for Enhancing Ensemble Classifiers in Sepsis Diagnosis
Alfakeeh, A., Sharif, S., Zorto, A. and Pillonetto, T. 2023. Conditional Tabular Generative Adversarial Net for Enhancing Ensemble Classifiers in Sepsis Diagnosis. Applied Computational Intelligence and Soft Computing. 2023 (Art. 8819052). https://doi.org/10.1155/2023/8819052371
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