| Deep convolutional neural network designed for age assessment based on orthopantomography data SMM Kahaki, MJ Nordin, NS Ahmad, M Arzoky, W Ismail Neural Computing and Applications 32, 9357-9368, 2020 | 40 | 2020 |
| Personas design for conversational systems in education F Ali Amer Jid Almahri, D Bell, M Arzoky Informatics 6 (4), 46, 2019 | 23 | 2019 |
| Designing guidelines to discover causes of delays in construction projects: The case of lebanon A Tarhini, M Fakih, M Arzoky, T Tarhini Canadian Center of Science and Education, 2015 | 17 | 2015 |
| Munch: An efficient modularisation strategy to assess the degree of refactoring on sequential source code checkings M Arzoky, S Swift, A Tucker, J Cain 2011 IEEE Fourth International Conference on Software Testing, Verification …, 2011 | 16 | 2011 |
| Agent based modelling and simulation: Toward a new model of customer retention in the mobile market M Hassouna, M Arzoky Proceedings of the 2011 summer computer simulation conference, 30-35, 2011 | 11 | 2011 |
| The prevalence of errors in machine learning experiments M Shepperd, Y Guo, N Li, M Arzoky, A Capiluppi, S Counsell, ... Intelligent Data Engineering and Automated Learning–IDEAL 2019: 20th …, 2019 | 10 | 2019 |
| On the relationship between coupling and refactoring: an empirical viewpoint S Counsell, M Arzoky, G Destefanis, D Taibi 2019 ACM/IEEE International Symposium on Empirical Software Engineering and …, 2019 | 9 | 2019 |
| A Seeded Search for the Modularisation of Sequential Software Versions. M Arzoky, S Swift, A Tucker, J Cain J. Object Technol. 11 (2), 6:1-27, 2012 | 9 | 2012 |
| Opening the black box: Personalizing type 2 diabetes patients based on their latent phenotype and temporal associated complication rules L Yousefi, S Swift, M Arzoky, L Saachi, L Chiovato, A Tucker Computational Intelligence 37 (4), 1460-1498, 2021 | 8 | 2021 |
| Opening the black box: Exploring temporal pattern of type 2 diabetes complications in patient clustering using association rules and hidden variable discovery L Yousefi, S Swift, M Arzoky, L Sacchi, L Chiovato, A Tucker 2019 IEEE 32nd International Symposium on Computer-Based Medical Systems …, 2019 | 8 | 2019 |
| An empirical analysis of the seasonal patterns in aggregate directors’ trades B Nassar, M Arzoky, A Tarhini, T Tarhini Canadian Center of Science and Education, 2015 | 7 | 2015 |
| Advances in Intelligent Data Analysis VIII N Adams, C Robardet, A Siebes, JF Boulicaut 8th International Symposium on Intelligent Data Analysis IDA'09, 430, 2009 | 7* | 2009 |
| Agile Methods. Large-Scale Development, Refactoring, Testing, and Estimation: XP 2014 International Workshops, Rome, Italy, May 26-30, 2014, Revised Selected Papers T Dingsøyr, NB Moe, R Tonelli, S Counsell, C Gencel, K Petersen Springer, 2014 | 6 | 2014 |
| Augmented education within a physical space FJ Almahri, D Bell, M Arzoky | 5 | 2019 |
| Using an instant visual and text based feedback tool to teach path finding algorithms: A concept B Nagaria, BC Evans, A Mann, M Arzoky 2021 Third International Workshop on Software Engineering Education for the …, 2021 | 4 | 2021 |
| Using the lexicon from source code to determine application domain A Capiluppi, N Ajienka, N Ali, M Arzoky, S Counsell, G Destefanis, ... Proceedings of the 24th International Conference on Evaluation and …, 2020 | 4 | 2020 |
| Opening the black box: Discovering and explaining hidden variables in type 2 diabetic patient modelling L Yousefi, S Swift, M Arzoky, L Saachi, L Chiovato, A Tucker 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2018 | 4 | 2018 |
| Do developers really worry about refactoring re-test? An empirical study of open-source systems S Counsell, S Swift, M Arzoky, G Destefanis Product-Focused Software Process Improvement: 19th International Conference …, 2018 | 3 | 2018 |
| Applications of Machine Learning in Education: Personas Design for Chatbots FAAJ Almahri, D Bell, M Arzoky Machine Learning Approaches for Improvising Modern Learning Systems, 72-113, 2021 | 2 | 2021 |
| An exploratory study of the inputs for ensemble clustering technique as a subset selection problem S Ayed, M Arzoky, S Swift, S Counsell, A Tucker Intelligent Systems and Applications: Proceedings of the 2018 Intelligent …, 2019 | 2 | 2019 |
Dr Stephen SwiftBrunel University, UKVerified email at brunel.ac.uk
