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Stephen Swift
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2020 – today
- 2024
- [c58]Ashley Mann, Stephen Swift, Mahir Arzoky:
Applying Graph Partitioning-Based Seeding Strategies to Software Modularisation. EvoApplications@EvoStar 2024: 240-258 - 2023
- [c57]Steve Counsell, Stephen Swift, Amjed Tahir:
An "80-20" Approach to the Study of Coupling. SEAA 2023: 219-222 - [c56]Faisal Maramazi, Afees Adegoke Odebode, Ashley Mann, Stephen Swift, Mahir Arzoky:
How Starting Points and Representations Affect Software Modularisation: An Empirical Analysis. IntelliSys (2) 2023: 169-189 - 2022
- [c55]Afees Adegoke Odebode, Allan Tucker, Mahir Arzoky, Stephen Swift:
Estimating the Optimal Number of Clusters from Subsets of Ensembles. DATA 2022: 383-391 - [c54]Steve Counsell, Stephen Swift:
Timing is Everything! A Test and Production Class View of Self-Admitted Technical Debt. SEAA 2022: 314-317 - [c53]Marinela Branescu, Stephen Swift, Allan Tucker:
A Comparison of Convolutional Neural Networks and Traditional Feature-Based Classification Applied to Leukaemia Image Analysis. ICIMTH 2022: 545-550 - [c52]Mashael Al-Luhaybi, Stephen Swift, Steve Counsell, Allan Tucker:
Exploring the Explicit Modelling of Bias in Machine Learning Classifiers: A Deep Multi-label ConvNet Approach. ICMLA 2022: 1799-1806 - [c51]Fawzia Zehra Kara-Isitt
, Stephen Swift
Intelligently Detecting Information Online-Weaponisation Trends (IDIOT). PKDD/ECML Workshops (1) 2022: 197-214 - 2021
- [j29]Leila Yousefi
Opening the black box: Personalizing type 2 diabetes patients based on their latent phenotype and temporal associated complication rules. Comput. Intell. 37(4): 1460-1498 (2021) - [c50]Biraja Ghoshal, Stephen Swift, Allan Tucker:
Bayesian Deep Active Learning for Medical Image Analysis. AIME 2021: 36-42 - [c49]Bhargab Ghoshal, Biraja Ghoshal, Stephen Swift, Allan Tucker:
Uncertainty Estimation in SARS-CoV-2 B-Cell Epitope Prediction for Vaccine Development. AIME 2021: 361-366 - [c48]Steve Counsell, Stephen Swift, Amjed Tahir:
Where the Bugs are: A Quasi-replication Study of the Effect of Inheritance Depth and Width in Java Systems. QUATIC 2021: 459-472 - [i5]Bhargab Ghoshal, Biraja Ghoshal, Stephen Swift, Allan Tucker:
Uncertainty Estimation in SARS-CoV-2 B-cell Epitope Prediction for Vaccine Development. CoRR abs/2103.11214 (2021) - 2020
- [j28]Mohammadmersad Ghorbani, Stephen Swift, Simon J. E. Taylor
Design of a Flexible, User Friendly Feature Matrix Generation System and its Application on Biomedical Datasets. J. Grid Comput. 18(3): 507-527 (2020) - [j27]David Aondoakaa, John Cosmas, Stephen Swift:
Exploiting heterogeneity for cost efficient 5G base station deployment using meta-heuristics. IET Networks 9(5): 270-275 (2020) - [c47]Andrea Capiluppi
Using the Lexicon from Source Code to Determine Application Domain. EASE 2020: 110-119
2010 – 2019
- 2019
- [j26]Mohd Zairul Mazwan Bin Jilani
An application of generalised simulated annealing towards the simultaneous modelling and clustering of glaucoma. J. Heuristics 25(6): 933-957 (2019) - [c46]Mashael Al-Luhaybi, Leila Yousefi, Stephen Swift, Steve Counsell, Allan Tucker:
Predicting Academic Performance: A Bootstrapping Approach for Learning Dynamic Bayesian Networks. AIED (1) 2019: 26-36 - [c45]Leila Yousefi, Stephen Swift, Mahir Arzoky, Lucia Sacchi
Opening the Black Box: Exploring Temporal Pattern of Type 2 Diabetes Complications in Patient Clustering Using Association Rules and Hidden Variable Discovery. CBMS 2019: 198-203 - [c44]Steve Counsell, Stephen Swift, Mahir Arzoky, Giuseppe Destefanis
An Empirical Study of the AGIS Visual Field Metric and Its Seasonal Variations. CBMS 2019: 527-530 - [c43]Martin J. Shepperd, Yuchen Guo, Ning Li, Mahir Arzoky, Andrea Capiluppi
The Prevalence of Errors in Machine Learning Experiments. IDEAL (1) 2019: 102-109 - [i4]Martin J. Shepperd, Yuchen Guo, Ning Li, Mahir Arzoky, Andrea Capiluppi, Steve Counsell, Giuseppe Destefanis, Stephen Swift, Allan Tucker, Leila Yousefi:
The Prevalence of Errors in Machine Learning Experiments. CoRR abs/1909.04436 (2019) - 2018
- [c42]Leila Yousefi, Stephen Swift, Mahir Arzoky, Lucia Sacchi, Luca Chiovato
Opening the Black Box: Discovering and Explaining Hidden Variables in Type 2 Diabetic Patient Modelling. BIBM 2018: 1040-1044 - [c41]Khalipha Abubakar Nuhu, Stephen Swift, Mike Lakoju, Robert D. Macredie:
Investigating User responses to Mandatory IT-induced organisational changes: a pre-Implementation Study. ECIS 2018: 27 - [c40]Steve Counsell, Stephen Swift, Roberto Tonelli, Michele Marchesi, Michael Felderer:
Re-visiting a Test Taxonomy with Refactoring and Defect-fix Data. SEAA 2018: 41-44 - [c39]Samy Ayed, Mahir Arzoky, Stephen Swift, Steve Counsell, Allan Tucker:
An Exploratory Study of the Inputs for Ensemble Clustering Technique as a Subset Selection Problem. IntelliSys (1) 2018: 1041-1055 - [c38]Steve Counsell, Stephen Swift, Mahir Arzoky, Giuseppe Destefanis
Do Developers Really Worry About Refactoring Re-test? An Empirical Study of Open-Source Systems. PROFES 2018: 159-166 - [i3]Giuseppe Destefanis, Marco Ortu, Steve Counsell, Stephen Swift, Roberto Tonelli, Michele Marchesi:
Analysing Developers Affectiveness through Markov chain Models. CoRR abs/1803.06502 (2018) - [i2]Giuseppe Destefanis, Mahir Arzoky, Steve Counsell, Stephen Swift, Marco Ortu
113 times Tomcat: A dataset. PeerJ Prepr. 6: e26491 (2018) - 2017
- [j25]Marco Ortu, Giuseppe Destefanis, Steve Counsell, Stephen Swift, Roberto Tonelli, Michele Marchesi:
How diverse is your team? Investigating gender and nationality diversity in GitHub teams. J. Softw. Eng. Res. Dev. 5: 9 (2017) - [c37]Steve Counsell, Stephen Swift, Allan Tucker:
A Deconstructed Replication of a Time of Test Study Using the AGIS Metric. CBMS 2017: 103-104 - [c36]Giuseppe Destefanis
On the randomness and seasonality of affective metrics for software development. SAC 2017: 1266-1271 - 2016
- [j24]Giuseppe Destefanis
Software development: do good manners matter? PeerJ Comput. Sci. 2: e73 (2016) - [c35]Mohd Zairul Mazwan Bin Jilani, Allan Tucker, Stephen Swift:
Simultaneous Modelling and Clustering of Visual Field Data. CBMS 2016: 213-218 - [c34]Steve Counsell, Stephen Swift, Allan Tucker:
The AGIS Metric and Time of Test: A Replication Study. CBMS 2016: 269-270 - [c33]Marco Ortu
Measuring high and low priority defects on traditional and mobile open source software. WETSoM@ICSE 2016: 1-7 - [c32]Giuseppe Destefanis
A statistical comparison of Java and Python software metric properties. WETSoM@ICSE 2016: 22-28 - [c31]Marco Ortu
Arsonists or Firefighters? Affectiveness in Agile Software Development. XP 2016: 144-155 - [i1]Marco Ortu, Giuseppe Destefanis, Steve Counsell, Stephen Swift, Michele Marchesi, Roberto Tonelli:
How diverse is your team? Investigating gender and nationality diversity in GitHub teams. PeerJ Prepr. 4: e2285 (2016) - 2015
- [j23]Michael James Scott
Enhancing Practice and Achievement in Introductory Programming With a Robot Olympics. IEEE Trans. Educ. 58(4): 249-254 (2015) - [p2]Allan Tucker, Yuanxi Li, Stefano Ceccon, Stephen Swift:
Trajectories Through the Disease Process: Cross Sectional and Longitudinal Studies. Foundations of Biomedical Knowledge Representation 2015: 189-205 - 2014
- [j22]Lucia Sacchi
Improving predictive models of glaucoma severity by incorporating quality indicators. Artif. Intell. Medicine 60(2): 103-112 (2014) - [c30]Mahir Arzoky, Stephen Swift, Steve Counsell, James Cain:
An Approach to Controlling the Runtime for Search Based Modularisation of Sequential Source Code Check-ins. IDA 2014: 25-36 - [c29]Steve Counsell, Allan Tucker, Stephen Swift, Guy Fitzgerald, Jason Peters:
Comparing Pre-defined Software Engineering Metrics with Free-Text for the Prediction of Code 'Ripples'. IDA 2014: 61-71 - [c28]Alessandro Murgia, Roberto Tonelli
System performance analyses through object-oriented fault and coupling prisms. ICPE 2014: 233-238 - [c27]Mahir Arzoky, Stephen Swift, Steve Counsell, James Cain:
A Measure of the Modularisation of Sequential Software Versions Using Random Graph Theory. XP Workshops 2014: 105-120 - [c26]Steve Counsell, Stephen Swift, Alessandro Murgia, Roberto Tonelli, Michele Marchesi, Giulio Concas:
Are Some Refactorings Attached to Fault-Prone Classes and Others to Fault-Free Classes? XP Workshops 2014: 136-147 - 2013
- [j21]Yuanxi Li, Stephen Swift
Modelling and analysing the dynamics of disease progression from cross-sectional studies. J. Biomed. Informatics 46(2): 266-274 (2013) - [c25]Stelios Pavlidis, Stephen Swift
The Modelling of Glaucoma Progression through the Use of Cellular Automata. IDA 2013: 322-332 - [e1]Allan Tucker, Frank Höppner, Arno Siebes, Stephen Swift
Advances in Intelligent Data Analysis XII - 12th International Symposium, IDA 2013, London, UK, October 17-19, 2013. Proceedings. Lecture Notes in Computer Science 8207, Springer 2013, ISBN 978-3-642-41397-1 [contents] - 2012
- [j20]Mumtaz Abdul Hameed, Steve Counsell, Stephen Swift
A meta-analysis of relationships between organizational characteristics and IT innovation adoption in organizations. Inf. Manag. 49(5): 218-232 (2012) - [j19]Mahir Arzoky, Stephen Swift
A Seeded Search for the Modularisation of Sequential Software Versions. J. Object Technol. 11(2): 6: 1-27 (2012) - [j18]Steve Counsell, Stephen Swift:
RefTest 2011 Special Section. J. Object Technol. 11(2) (2012) - [j17]Steve Counsell, Stephen Swift:
Issues arising from refactoring studies: an experience report. ACM SIGSOFT Softw. Eng. Notes 37(3): 1-5 (2012) - [j16]Yang Tang, Zidong Wang
A Constrained Evolutionary Computation Method for Detecting Controlling Regions of Cortical Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 9(6): 1569-1581 (2012) - [c24]Alessandro Murgia, Roberto Tonelli
Refactoring and its Relationship with Fan-in and Fan-out: An Empirical Study. CSMR 2012: 63-72 - [c23]Stefan Skrobanski, Stelios Pavlidis, Waidah Ismail
Use of General Purpose GPU Programming to Enhance the Classification of Leukaemia Blast Cells in Blood Smear Images. IDA 2012: 369-380 - 2011
- [j15]Stelios Pavlidis, Annette M. Payne
Multi-membership gene regulation in pathway based microarray analysis. Algorithms Mol. Biol. 6: 22 (2011) - [j14]Abdul Salam Kalaji
An integrated search-based approach for automatic testing from extended finite state machine (EFSM) models. Inf. Softw. Technol. 53(12): 1297-1318 (2011) - [c22]Mahir Arzoky, Stephen Swift
Munch: An Efficient Modularisation Strategy to Assess the Degree of Refactoring on Sequential Source Code Checkings. ICST Workshops 2011: 422-429 - 2010
- [j13]Jian Li, Stephen Swift
The effect of cooling functions on ensemble clustering using simulated annealing. Intell. Data Anal. 14(6): 701-730 (2010) - [c21]Abdul Salam Kalaji
Generating Feasible Transition Paths for Testing from an Extended Finite State Machine (EFSM) with the Counter Problem. ICST Workshops 2010: 232-235 - [c20]Waidah Ismail
Detecting Leukaemia (AML) Blood Cells Using Cellular Automata and Heuristic Search. IDA 2010: 54-66 - [c19]Allan Tucker, Stephen Swift, Steve Counsell, Simon Kent, John Dickie, Kenwin Liu, Robert Turner:
Data Mining the Millennium Seedbank at Kew. ICDM (Workshops) 2010: 85-94
2000 – 2009
- 2009
- [c18]Abdul Salam Kalaji
Generating Feasible Transition Paths for Testing from an Extended Finite State Machine (EFSM). ICST 2009: 230-239 - [c17]James Cain, Steve Counsell, Stephen Swift
An Application of Intelligent Data Analysis Techniques to a Large Software Engineering Dataset. IDA 2009: 261-272 - [c16]Jian Li, Stephen Swift
Multi-Optimisation Consensus Clustering. IDA 2009: 345-356 - 2008
- [c15]Steve Counsell, Stephen Swift
Refactoring Steps, Java Refactorings and Empirical Evidence. COMPSAC 2008: 176-179 - [p1]Steve Counsell, Stephen Swift:
An Empirical Study of Potential Vulnerability Faults in Java Open-Source Software. Innovative Techniques in Instruction Technology, E-learning, E-assessment, and Education 2008: 514-519 - 2007
- [j12]Eleftherios Panteris
Mining pathway signatures from microarray data and relevant biological knowledge. J. Biomed. Informatics 40(6): 698-706 (2007) - [j11]Michael Hirsch
Optimal Search Space for Clustering Gene Expression Data via Consensus. J. Comput. Biol. 14(10): 1327-1341 (2007) - [c14]Steve Counsell, Stephen Swift
A Test Taxonomy Applied to the Mechanics of Java Refactorings. SCSS (1) 2007: 497-502 - [c13]Allan Tucker, Stephen Swift
Efficiency updates for the restricted growth function GA for grouping problems. GECCO 2007: 1536 - [c12]Stephen Swift
An improved restricted growth function genetic algorithm for the consensus clustering of retinal nerve fibre data. GECCO 2007: 2174-2181 - 2006
- [j10]Stephen Swift
Learning short multivariate time series models through evolutionary and sparse matrix computation. Nat. Comput. 5(4): 387-426 (2006) - [j9]Steve Counsell, Stephen Swift, Allan Tucker, Emilia Mendes:
Object-oriented cohesion subjectivity amongst experienced and novice developers: an empirical study. ACM SIGSOFT Softw. Eng. Notes 31(5): 1-10 (2006) - [j8]Steve Counsell, Stephen Swift
The interpretation and utility of three cohesion metrics for object-oriented design. ACM Trans. Softw. Eng. Methodol. 15(2): 123-149 (2006) - [c11]Michael Hirsch
Improved Robustness in Time Series Analysis of Gene Expression Data by Polynomial Model Based Clustering. CompLife 2006: 1-10 - 2005
- [j7]Allan Tucker
RGFGA: An Efficient Representation and Crossover for Grouping Genetic Algorithms. Evol. Comput. 13(4): 477-499 (2005) - [j6]Weiguo Sheng, Stephen Swift
A weighted sum validity function for clustering with a hybrid niching genetic algorithm. IEEE Trans. Syst. Man Cybern. Part B 35(6): 1156-1167 (2005) - [c10]Stephen Swift, Amy Shi, Jason Crampton, Allan Tucker:
ICARUS: intelligent coupon allocation for retailers using search. Congress on Evolutionary Computation 2005: 182-189 - [c9]Eleftherios Panteris, Stephen Swift
Biochemical Pathway Analysis via Signature Mining. CompLife 2005: 12-23 - [c8]Mark Harman
An empirical study of the robustness of two module clustering fitness functions. GECCO 2005: 1029-1036 - [c7]Steve Counsell, Stephen Swift
Object-oriented cohesion as a surrogate of software comprehension: an empirical study. SCAM 2005: 161-172 - 2004
- [c6]Paul Kellam, Stephen Swift, Allan Tucker, Veronica Vinciotti, Nigel J. Martin, Christine A. Orengo, Xiaohui Liu:
Consensus Clustering and Functional Interpretation of Gene Expression Data. Spanish Bioinformatics Conference 2004: 6 - 2003
- [c5]Steve Counsell, Xiaohui Liu, Rajaa Najjar, Stephen Swift, Allan Tucker:
Applying Intelligent Data Analysis to Coupling Relationships in Object-Oriented Software. IDA 2003: 440-450 - 2002
- [j5]Stephen Swift
Predicting glaucomatous visual field deterioration through short multivariate time series modelling. Artif. Intell. Medicine 24(1): 5-24 (2002) - [j4]Paul Kellam, Xiaohui Liu, Nigel J. Martin, Christine A. Orengo, Stephen Swift, Allan Tucker:
A framework for modelling virus gene expression data. Intell. Data Anal. 6(3): 267-279 (2002) - [j3]Steve Counsell, Xiaohui Liu, Janet McFall, Stephen Swift, Allan Tucker:
Evolutionary algorithms for grouping high dimensional Email data. Intell. Data Anal. 6(6): 503-516 (2002) - [c4]Steve Counsell, Emilia Mendes, Stephen Swift:
Comprehension of Object-Oriented Software Cohesion: The Empirical Quagmire. IWPC 2002: 33-42 - 2001
- [j2]Stephen Swift
Grouping multivariate time series variables: applications to chemical process and visual field data. Knowl. Based Syst. 14(3-4): 147-154 (2001) - [j1]Allan Tucker, Stephen Swift
Variable grouping in multivariate time series via correlation. IEEE Trans. Syst. Man Cybern. Part B 31(2): 235-245 (2001) - [c3]Steve Counsell, Xiaohui Liu, Stephen Swift, Allan Tucker, Janet McFall:
Optimising the Grouping of Email Users to Servers Using Intelligent Data Analysis. ICEIS (1) 2001: 489-496 - [c2]Paul Kellam
A Framework for Modelling Short, High-Dimensional Multivariate Time Series: Preliminary Results in Virus Gene Expression Data Analysis. IDA 2001: 218-227
1990 – 1999
- 1999
- [c1]Stephen Swift, Allan Tucker, Xiaohui Liu:
Evolutionary Computation to Search for Strongly Correlated Variables in High-Dimensional Time-Series. IDA 1999: 51-62
Coauthor Index
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last updated on 2024-10-25 20:14 CEST by the dblp team
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