Miss Misaki Seto

NameMiss Misaki Seto
ORCIDhttps://orcid.org/0009-0008-9996-0461
Email addressu1725457@uel.ac.uk
Research instituteHealth, Sport & Bioscience

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.
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