Showing results 5 to 24 of 65
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| Issue Date | Title | Author(s) |
| 2019 | An automated method mapping parametric features between computer aided design software | Borland, Toby David |
| 2012 | Automatic detection and classification of leukaemia cells | Ismail, Waidah |
| 2008 | Automatic generation of test sequences form EFSM models using evolutionary algorithms | Kalaji, AS; Hierons, RM; Swift, S |
| 2013 | Building trajectories through clinical data to model disease progression | Li, Yuanxi |
| 2022 | Combined supervised and unsupervised learning to identify subclasses of disease for better prediction | Alsaid Alyousef, Awad |
| 2002 | Comprehension of object-oriented software cohesion: The empirical quagmire | Counsell, S; Swift, S; Mendes, E |
| 2004 | Consensus clustering and functional interpretation of gene expression data | Swift, S; Tucker, A; Vinciotti, V; Martin, N; Orengo, C; Liu, X; Kellam, P |
| Aug-2020 | Design of a flexible, user friendly feature matrix generation system and its application on biomedical datasets | Ghorbani, M; Swift, S; Taylor, SJE; Payne, AM |
| 2011 | The detection and classification of blast cell in Leukaemia Acute Promyelocytic Leukaemia (AML M3) blood using simulated annealing and neural networks | Ismail, W; Hassan, R; Payne, A; Swift, S |
| 2014 | Discovering study-specific gene regulatory networks | Bo, V; Curtis, T; Lysenko, A; Saqi, M; Swift, S; Tucker, A |
| 2018 | Do developers really worry about refactoring re-test? An empirical study of open-source systems | Counsell, S; Swift, S; Arzoky, M; Destefanis, G |
| 2015 | Enhancing practice and achievement in introductory programming with a robot olympics | Scott, MJ; Counsell, S; Lauria, S; Swift, S; Tucker, A; Shepperd, M; Ghinea, G |
| 2015 | Enhancing Practice and Achievement in Introductory Programming With a Robot Olympics | Scott, MJ; Counsell, S; Lauria, S; Swift, S; Tucker, A; Shepperd, M; Ghinea, G |
| 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 |
