Taran John
Thesis Info
Research Interests: Artificial Intelligence, Machine Learning, Computer Vision, Skin Cancer Detection
Thesis Title: Utilising Machine Learning to Extract Clinically Oriented Features for Skin Cancer Detection
Supervisor: Harith Al-Sahaf,
Qurrat Ul Ain,
Mengjie Zhang
Publications
1. Taran Cyriac John, Muhammad Shabbir Abbasi, Harith Al-Sahaf, Ian Welch.“
Automatically evolving malice scoring models through utilisation of genetic programming: a cooperative coevolution approach”. In Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO), 2022. DOI:10.1145/3520304.3529063
2. Taran Cyriac John.“
The Ethical Considerations of Artificial Intelligence in Clinical Decision Support”. In Proceedings of the Wellington Faculty of Engineering Ethics and Sustainability Symposium, 2022. DOI:10.26686/wfeess.vi.7649
3. Taran Cyriac John, Muhammad Shabbir Abbasi, Harith Al-Sahaf, Ian Welch, Julian Jang-Jaccard.“
Evolving malice scoring models for ransomware detection: An automated approach by utilising genetic programming and cooperative coevolution”. Computers & Security 2023. DOI:
https://doi.org/10.1016/j.cose.2023.103215
4. Taran Cyriac John, Qurrat Ul Ain, Harith Al-Sahaf, Mengjie Zhang. "
Evolving Feature Extraction Models for Melanoma Detection: A Co-operative Co-evolution Approach". In Proceedings of the 27th
International Conference on the Applications of Evolutionary Computation (Part of EvoStar). DOI:10.1007/978-3-031-56852-7_26