Mr Abin Zorto

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

Research outputs

Insights into the contribution of multiple factors on Ixodes ricinus abundance across Europe spanning 20 years using different machine learning algorithms

Lansdell, S., Zorto, A., Seto, M., Negera, E., Sharif, S. and Cutler, S. 2025. Insights into the contribution of multiple factors on Ixodes ricinus abundance across Europe spanning 20 years using different machine learning algorithms. Ticks and Tick-borne Diseases. 16 (1), p. Art. 102437. https://doi.org/10.1016/j.ttbdis.2025.102437

Machine Learning-Based Techniques for Assessing Critical Factors for European Tick Abundance

Zorto, A., Lansdell, S., Seto, M., Negera, E., Sharif, S. and Cutler, S. 2025. Machine Learning-Based Techniques for Assessing Critical Factors for European Tick Abundance. International Journal of Computer Theory and Engineering. 17 (1), pp. 13-20.

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. IEEE.

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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