Showing results 18 to 37 of 65
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| Issue Date | Title | Author(s) |
| 11-Jul-2022 | Estimating the Optimal Number of Clusters from Subsets of Ensembles | Odebode, A; Tucker, A; Arzoky, M; Swift, S |
| 2021 | Explainable machine learning for educational data | Al Luhaybi, Mashael |
| 9-Nov-2018 | An Exploratory Study of the Inputs for Ensemble Clustering Technique as a Subset Selection Problem | Ayed, S; Arzoky, M; Swift, S; Counsell, S; Tucker, A |
| 2023 | Exploring the topology of progressive disease data | Sajjadi, Seyed Erfan |
| 2001 | A framework for modelling short, high-dimensional multivariate time series: Preliminary results in virus gene expression data analysis | Kellam, P; Liu, X; Matin, N; Orengo, C; Swift, S; Tucker, A |
| 2008 | Generating feasible transition paths for testing from an extended finite state machine (EFSM) | Kalaji, AS; Hierons, RM; Swift, S |
| 2010 | Generating feasible transition paths for testing from an extended finite state machine (EFSM) with the counter problem | Kalaji, AS; Hierons, RM; Swift, S |
| 2005 | ICARUS: Intelligent coupon allocation for retailers using search | Swift, S; Shi, A; Crampton, J; Tucker, A |
| 2006 | Improved robustness in time series analysis of gene expression data by polynomial model based clustering | Hirsch, M; Tucker, A; Swift, S; Martin, N; Orengo, C; Kellam, P; Liu, X |
| 2014 | Improving predictive models of glaucoma severity by incorporating quality indicators | Sacchi, L; Tucker, A; Counsell, S; Garway-Heath, D; Swift, S |
| 2011 | An integrated search-based approach for automatic testing from extended finite state machine (EFSM) models | Kalaji, AS; Hierons, RM; Swift, S |
| 2011 | An integrated search-based approach for automatic testing from extended finite state machine (EFSM) models | Kalaji, AS; Hierons, RM; Swift, S |
| 2020 | Investigating user responses to mandatory IT-induced organisational changes: findings from a multiple-case study | Nuhu, Khalipha Abubakar |
| 2005 | Learning short multivariate time series models through evolutionary and sparse matrix computation | Swift, S; Kok, J; Liu, X |
| 2012 | A meta-analysis of relationships between organizational characteristics and IT innovation adoption in organizations | Hameed, MA; Counsell, S; Swift, S |
| 6-Jun-2019 | Moving Object Detection using Adaptive Blind Update and RGB-D Camera | Dorudian, N; Lauria, S; Swift, S |
| 2018 | Nonparametric background modelling and segmentation to detect Micro Air Vehicles (MAV) using RGB-D Sensor | Lauria, S; Dorudian, N; Swift, S |
| 2020 | Nonparametric pixel-wise background modelling and segmentation to detect moving object with RGB-D camera | Dorudian, Navid |
| 2005 | Object-oriented cohesion as a surrogate of software comprehension: An empirical study | Counsell, S; Swift, S; Tucker, A; Mendes, E |
| 11-Dec-2020 | On the Link between Refactoring Activity and Class Cohesion through the Prism of Two Cohesion-Based Metrics | Counsell, S; Destefanis, G; Swift, S; Arzoky, M; Taibi, D |
