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2020 – today
- 2024
[j5]Alaa Marshan, Anwar Nais AlMutairi, Athina Ioannou, David Bell, Asmat Monaghan, Mahir Arzoky:
MedT5SQL: a transformers-based large language model for text-to-SQL conversion in the healthcare domain. Frontiers Big Data 7 (2024)- [c18]Ashley Mann, Stephen Swift, Mahir Arzoky:
Applying Graph Partitioning-Based Seeding Strategies to Software Modularisation. EvoApplications@EvoStar 2024: 240-258 - 2023
- [c17]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
- [c16]Afees Adegoke Odebode, Allan Tucker, Mahir Arzoky, Stephen Swift:
Estimating the Optimal Number of Clusters from Subsets of Ensembles. DATA 2022: 383-391 - 2021
- [j4]Leila Yousefi
, Stephen Swift, Mahir Arzoky, Lucia Saachi, Luca Chiovato, Allan Tucker:
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) - [c15]Bhaveet Nagaria, Benjamin C. Evans, Ashley Mann, Mahir Arzoky:
Using an Instant Visual and Text Based Feedback Tool to Teach Path Finding Algorithms: A Concept. SEENG@ICSE 2021: 11-15 - 2020
- [j3]Seyed M. M. Kahaki, Md. Jan Nordin, Nazatul S. Ahmad, Mahir Arzoky, Waidah Ismail:
Deep convolutional neural network designed for age assessment based on orthopantomography data. Neural Comput. Appl. 32(13): 9357-9368 (2020) - [c14]Andrea Capiluppi, Nemitari Ajienka, Nour Ali, Mahir Arzoky, Steve Counsell, Giuseppe Destefanis, Alina Dana Miron, Bhaveet Nagaria, Rumyana Neykova, Martin J. Shepperd, Stephen Swift, Allan Tucker:
Using the Lexicon from Source Code to Determine Application Domain. EASE 2020: 110-119 - [c13]Steve Counsell, Steve Swift, Mahir Arzoky, Giuseppe Destefanis:
On Clones and Comments in Production and Test Classes: An Empirical Study. PROFES 2020: 304-311 - [c12]Steve Counsell, Giuseppe Destefanis, Steve Swift, Mahir Arzoky, Davide Taibi:
On the Link Between Refactoring Activity and Class Cohesion Through the Prism of Two Cohesion-Based Metrics. QRS 2020: 91-98 - [c11]Steve Counsell, Steve Swift, Mahir Arzoky, Giuseppe Destefanis:
Is Complexity of Re-test a Reason Why Some Refactorings Are Buggy? an Empirical Perspective. QUATIC 2020: 83-90
2010 – 2019
- 2019
- [j2]Fatima Ali Amer Jid Almahri, David Bell, Mahir Arzoky:
Personas Design for Conversational Systems in Education. Informatics 6(4): 46 (2019) - [c10]Leila Yousefi, Stephen Swift, Mahir Arzoky, Lucia Sacchi, Luca Chiovato, Allan Tucker:
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 - [c9]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 - [c8]Steve Counsell, Mahir Arzoky, Giuseppe Destefanis, Davide Taibi:
On the Relationship Between Coupling and Refactoring: An Empirical Viewpoint. ESEM 2019: 1-6 - [c7]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. IDEAL (1) 2019: 102-109 - [i3]Steve Counsell, Mahir Arzoky, Giuseppe Destefanis, Davide Taibi:
On the Relationship Between Coupling and Refactoring: An Empirical Viewpoint. CoRR abs/1908.01501 (2019) - [i2]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
- [c6]Leila Yousefi, Stephen Swift, Mahir Arzoky, Lucia Sacchi, Luca Chiovato, Allan Tucker:
Opening the Black Box: Discovering and Explaining Hidden Variables in Type 2 Diabetic Patient Modelling. BIBM 2018: 1040-1044 - [c5]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 - [c4]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 - [i1]Giuseppe Destefanis, Mahir Arzoky, Steve Counsell, Stephen Swift, Marco Ortu, Roberto Tonelli, Michele Marchesi:
113 times Tomcat: A dataset. PeerJ Prepr. 6: e26491 (2018) - 2015
- [b1]Mahir Arzoky:
Munch: an efficient modularisation strategy on sequential source code check-ins. Brunel University London, UK, 2015 - 2014
- [c3]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 - [c2]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 - 2012
- [j1]Mahir Arzoky, Stephen Swift, Allan Tucker, James Cain:
A Seeded Search for the Modularisation of Sequential Software Versions. J. Object Technol. 11(2): 6: 1-27 (2012) - 2011
- [c1]Mahir Arzoky, Stephen Swift, Allan Tucker, James Cain:
Munch: An Efficient Modularisation Strategy to Assess the Degree of Refactoring on Sequential Source Code Checkings. ICST Workshops 2011: 422-429
Coauthor Index
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