Victor Elijah Adeyemo

Orcid: 0000-0002-8398-3609

According to our database1, Victor Elijah Adeyemo authored at least 14 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Digital Weight Management Interventions: A review of commercial solutions and survey analysis of user needs.
CoRR, April, 2026

Beyond Weight Loss: Exploring Wellbeing and Lifestyle Outcomes in Digital Weight Management Interventions.
Proceedings of the 12th International Conference on Information and Communication Technologies for Ageing Well and e-Health, 2026

2025
The use of match-based exact movement activities to classify elite rugby league players into positional groups.
Int. J. Data Sci. Anal., September, 2025

2023
Identification of pattern mining algorithm for rugby league players positional groups separation based on movement patterns.
CoRR, 2023

Elite Rugby League Players' Signature Movement Patterns and Position Prediction.
Proceedings of the Machine Learning and Data Mining for Sports Analytics, 2023

2021
Software Defect Prediction Using Wrapper Feature Selection Based on Dynamic Re-Ranking Strategy.
Symmetry, 2021

An Adaptive Rank Aggregation-Based Ensemble Multi-Filter Feature Selection Method in Software Defect Prediction.
Entropy, 2021

A Novel Rank Aggregation-Based Hybrid Multifilter Wrapper Feature Selection Method in Software Defect Prediction.
Comput. Intell. Neurosci., 2021

LCCspm: l-Length Closed Contiguous Sequential Patterns Mining Algorithm to Find Frequent Athlete Movement Patterns from GPS.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

Rotation Forest-Based Logistic Model Tree for Website Phishing Detection.
Proceedings of the Computational Science and Its Applications - ICCSA 2021, 2021

2020
Impact of Feature Selection Methods on the Predictive Performance of Software Defect Prediction Models: An Extensive Empirical Study.
Symmetry, 2020

AI Meta-Learners and Extra-Trees Algorithm for the Detection of Phishing Websites.
IEEE Access, 2020

SMOTE-Based Homogeneous Ensemble Methods for Software Defect Prediction.
Proceedings of the Computational Science and Its Applications - ICCSA 2020, 2020

Ensemble-Based Logistic Model Trees for Website Phishing Detection.
Proceedings of the Advances in Cyber Security - Second International Conference, 2020


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