Publications

(2025). A spatial analysis of ball recovery locations, ball recovery methods and eventual possession outcomes in elite women's football using a Bayesian network approach. International Journal of Performance Analysis in Sport.

DOI

(2025). Future-proofed intrusion detection for internet of things with machine learning. In IEEE 4th International Conference on AI in Cybersecurity (ICAIC), Houston, USA, 2025.

Code Dataset DOI

(2025). An examination of how fielding outcomes in international and franchise T20 and 50-over cricket are associated with bowling performances and field positions. International Journal of Performance Analysis in Sport.

DOI

(2024). Detecting new obfuscated malware variants: A lightweight and interpretable machine learning approach. Intelligent Systems with Applications.

Code Dataset DOI

(2023). Error-correction mechanisms in language learning: modeling individuals. Language Learning.

Code Dataset DOI

(2022). Reinforcement learning under uncertainty: expected versus unexpected uncertainty and state versus reward uncertainty. Computational Brain & Behavior.

Code Dataset DOI

(2022). What makes the past perfect and the future progressive? Experiential coordinates for a learnable, context-based model of tense and aspect. Cognitive Linguistics.

DOI

(2021). What is learned from exposure: an error-driven approach to productivity in language. Language, Cognition and Neuroscience.

Code Dataset DOI

(2018). Optimal gut size of small birds and its dependence on environmental and physiological parameters. Journal of theoretical biology.

Code Dataset DOI

(2015). Bayesian reinforcement learning in Markovian and non-Markovian tasks. In IEEE Symposium Series on Computational Intelligence, Cape Town, South Africa, 2015.

DOI