| Issue Date | Title | Author(s) |
| 25-Sep-2016 | Capturing sensemaking pattern during data analysis: A conceptual framework | Lycett, M; Marshan, A |
| 2017 | Consensus clustering framework for analysing fMRI datasets. | Liu, Chao |
| 2021 | Coupling multifunction drones with AI in the fight against the coronavirus pandemic | Almalki, F; Alotaibi, A; Angelides, M |
| 2016 | Data mining for software engineering and humans in the loop | Minku, LL; Mendes, E; Turhan, B |
| 2025 | Early prediction of diabetes mellitus type II in Oman using Artificial Intelligence | Al Sadi, Khoula Ali Saleh |
| 18-Oct-2017 | The Human Behaviour-Change Project: harnessing the power of artificial intelligence and machine learning for evidence synthesis and interpretation. | Michie, S; Thomas, J; Johnston, M; Aonghusa, PM; Shawe-Taylor, J; Kelly, MP; Deleris, LA; Finnerty, AN; Marques, MM; Norris, E; O'Mara-Eves, A; West, R |
| 16-Jun-2021 | Improving the Retention and Progression of Learners Through Intelligent Systems for Diagnosing Metacognitive Competencies – A Case Study in UK Further Education | Samani, T; Canhoto, AI; Yoruk, E |
| 25-Oct-2017 | An Intrusion Detection Framework Based on Hybrid Multi-Level Data Mining | Yao, H; Wang, Q; Wang, L; Zhang, P; Li, M; Liu, Y |
| 2024 | An investigation into the generalisability of fake news detection models | Hoy, Nathaniel |
| 2023 | Operational modal analysis and prediction of remaining useful life for rotating machinery | Sternharz, German |
| 2021 | Predicting business failure using artificial intelligence system | Allozi, Yaser |
| Jun-2020 | Regressive Event-Tracker: A Causal Prediction Modelling of Degradation in High Speed Manufacturing | Angadi, V; Mousavi, A; Bartolome, D; Tellarini, M; Fazziani, M |
| 2019 | The Relevance of Application Domains in Empirical Findings | Capiluppi, Andrea; Ajienka, Nemitari |
| 2023 | Taking shape: The data science of elastic shape analysis with practical applications | Salili-James, Arianna |
