| Addressing the class imbalance problem in medical datasets MM Rahman, DN Davis International Journal of Machine Learning and Computing 3 (2), 224, 2013 | 448 | 2013 |
| Cluster based under-sampling for unbalanced cardiovascular data MM Rahman, D Davis Proceedings of the world congress on engineering 3, 3-5, 2013 | 95 | 2013 |
| Machine learning-based missing value imputation method for clinical datasets MM Rahman, DN Davis IAENG Transactions on Engineering Technologies: Special Volume of the World …, 2013 | 89 | 2013 |
| Fuzzy unordered rules induction algorithm used as missing value imputation methods for k-mean clustering on real cardiovascular data MM Rahman, DN Davis Lect Notes Eng Comput Sci 2197 (1), 391-4, 2012 | 32 | 2012 |
| Examining branch and bound strategy on multiprocessor task scheduling MM Rahman, MFI Chowdhury 2009 12th International Conference on Computers and Information Technology …, 2009 | 21 | 2009 |
| Missing value imputation using stratified supervised learning for cardiovascular data ND Darryl, MM Rahman J Inform Data Min 1, 13, 2016 | 17 | 2016 |
| Defining requirements for integrating information between design, manufacturing, and inspection TD Hedberg Jr, ME Sharp, TMM Maw, MM Helu, MM Rahman, S Jadhav, ... International Journal of Production Research 60 (11), 3339-3359, 2022 | 16 | 2022 |
| Digitalized and harmonized industrial production systems: The PERFoRM approach AW Colombo, M Gepp, JB Oliveira, P Leitão, J Barbosa, J Wermann CRC Press, 2019 | 13 | 2019 |
| Analysis of the manufacturing signature using data mining RJ Mason, MM Rahman, TMM Maw Precision Engineering 47, 292-302, 2017 | 12 | 2017 |
| Validation of PERFoRM reference architecture demonstrating an application of data mining for predicting machine failure N Chakravorti, MM Rahman, MR Sidoumou, N Weinert, F Gosewehr, ... Procedia CIRP 72, 1339-1344, 2018 | 11 | 2018 |
| Machine learning based data pre-processing for the purpose of medical data mining and decision support MM Rahman University of Hull, 2014 | 7 | 2014 |
| Design, manufacturing, and inspection data for a three-component assembly TD Hedberg Jr, ME Sharp, TMM Maw, MM Rahman, S Jadhav, JJ Whicker, ... Journal of Research of the National Institute of Standards and Technology 124, 1, 2019 | 6 | 2019 |
| Optimising the dynamic process parameters in electron beam melting (EBM) to achieve internal defect quality control S Hou, E Muzangaza, M Bombardiere, A Okioga, D Bracket Proc. Int. Euro Powder Metall. Congr. Exhib. Euro PM 2017, 2017 | 6 | 2017 |
| An integrated process and data framework for the purpose of knowledge management and closed-loop quality feedback in additive manufacturing M Rahman, D Brackett, K Milne, A Szymanski, A Okioga, L Huertas, ... Progress in Additive Manufacturing 7 (4), 551-564, 2022 | 4 | 2022 |
| Semi Supervised Under-Sampling: A Solution to the Class Imbalance Problem for Classification and Feature Selection MM Rahman, DN Davis Transactions on Engineering Technologies: Special Volume of the World …, 2014 | 3 | 2014 |
| Service Oriented Machine-learning Application for Reconfigurable Predictive Maintenance System MM Rahman, N Chakravorti, N Weinert, R Munnoch, S Jadhav | 2 | 2019 |
| A review of automated solar photovoltaic defect detection systems: Approaches, challenges, and future orientations U Hijjawi, S Lakshminarayana, T Xu, GPM Fierro, M Rahman Solar Energy 266, 112186, 2023 | 1 | 2023 |
| An Architecture for Deploying Convolutional Neural Network-Based Quality Systems for Use in Production Environments in Additive Manufacturing NT Oliver Jones, Adam Holloway, Joe Young, Alex Morrison, Katy Milne ... Progress in Additive Manufacturing 2020, Pages: 339–351, 2022 | | 2022 |
| PERFoRM Approach: Lessons Learned and New Challenges M Gepp, M Foehr, AW Colombo Digitalized and Harmonized Industrial Production Systems, 303-314, 2019 | | 2019 |
| PERFoRM Methods and Tools S Thiede, L Büth, B Neef, P Ogun, N Lohse, B Obst, M Rahman, ... Digitalized and Harmonized Industrial Production Systems, 127-150, 2019 | | 2019 |
Darryl DavisUniversity of HullBestätigte E-Mail-Adresse bei hull.ac.uk
