Mr Abin Zorto

NameMr Abin Zorto
ORCIDhttps://orcid.org/0000-0001-8433-4953
Email addressu2091940@uel.ac.uk
Research instituteArchitecture, Computing & Engineering

Research outputs

Innovative Ensemble Approaches for Assessing Critical Factors for European Tick Abundance

Zorto, A., Lansdell, S., Seto, M., Gobena, E., Cutler, S. and Sharif, S. 2024. Innovative Ensemble Approaches for Assessing Critical Factors for European Tick Abundance. 2024 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies.

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 2024 International Association of Computer Science and Information Technology.

Performance 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/ICICIS58388.2023.10391139

Conditional 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/10.1155/2023/8819052
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