| Multi-class multi-level classification algorithm for skin lesions classification using machine learning techniques N Hameed, AM Shabut, MK Ghosh, MA Hossain Expert systems with applications 141, 112961, 2020 | 209 | 2020 |
| An investigation of XGBoost-based algorithm for breast cancer classification XY Liew, N Hameed, J Clos Machine Learning with Applications 6, 100154, 2021 | 138 | 2021 |
| Multi-class skin diseases classification using deep convolutional neural network and support vector machine N Hameed, AM Shabut, MA Hossain 2018 12th international conference on software, knowledge, information …, 2018 | 130 | 2018 |
| A comprehensive survey on image-based computer aided diagnosis systems for skin cancer N Hameed, A Ruskin, KA Hassan, MA Hossain 2016 10th International Conference on Software, Knowledge, Information …, 2016 | 78 | 2016 |
| m-Skin Doctor: a mobile enabled system for early melanoma skin cancer detection using support vector machine MA Taufiq, N Hameed, A Anjum, F Hameed eHealth 360°: International Summit on eHealth, Budapest, Hungary, June 14-16 …, 2017 | 68 | 2017 |
| A Computer-aided diagnosis system for classifying prominent skin lesions using machine learning N Hameed, A Shabut, MA Hossain 2018 10th computer science and electronic engineering (CEEC), 186-191, 2018 | 62 | 2018 |
| An Intelligent Computer-Aided Scheme for Classifying Multiple Skin Lesions N Hameed, F Hameed, A Shabut, S Khan, S Cirstea, A Hossain Computers 8 (3), 2019 | 56 | 2019 |
| A review of computer-aided expert systems for breast cancer diagnosis XY Liew, N Hameed, J Clos Cancers 13 (11), 2764, 2021 | 31 | 2021 |
| m-Skin Doctor: A mobile enabled system for early melanoma skin cancer detection using support vector machine. In eHealth 360 MA Taufiq, N Hameed, A Anjum, F Hameed Lecture Notes of the Institute for Computer Sciences, Social Informatics and …, 2017 | 28 | 2017 |
| Mobile-based Skin Lesions Classification Using Convolution Neural Network N Hameed, A Shabut, F Hameed, S Cirstea, S Harriet, A Hossain Annals of Emerging Technologies in Computing (AETiC) 4 (2), 12, 2020 | 21 | 2020 |
| Effect of cultural factors on students of Pakistan N Hameed, F Hameed arXiv preprint arXiv:1605.01580, 2016 | 14 | 2016 |
| Deep learning-based algorithm for skin cancer classification MA Ismail, N Hameed, J Clos Proceedings of International Conference on Trends in Computational and …, 2021 | 13 | 2021 |
| An intelligent inflammatory skin lesions classification scheme for mobile devices N Hameed, A Shabut, F Hameed, S Cirestea, A Hossain 2019 International Conference on Computing, Electronics & Communications …, 2019 | 11 | 2019 |
| A Computer-aided diagnosis system for classifying prominent skin lesions using machine learning. 2018 10th computer science and electronic engineering (CEEC),(pp. 186–191) N Hameed, A Shabut, MA Hossain IEEE, 2018 | 9 | 2018 |
| eHealth 360 MA Taufiq, N Hameed, A Anjum, F Hameed Springer, 2017 | 8 | 2017 |
| Localizing epileptogenic zone from high density EEG data using machine learning S Khan, A Khan, N Hameed, MA Taufiq, S Riaz Int. J. online Biomed. Eng 17 (6), 73-86, 2021 | 6 | 2021 |
| Extending upon a transfer learning approach for brain tumour segmentation J Choong, N Hameed Applied Intelligence and Informatics: First International Conference, AII …, 2021 | 5 | 2021 |
| Achievements of neural network in skin lesions classification N Hameed, A Shabut, F Hameed, S Cirstea, A Hossain State of the Art in Neural Networks and their Applications, 133-151, 2021 | 5 | 2021 |
| Circulogy: an AI-enabled blockchain-based e-Waste management framework using Non-Fungible Tokens (NFT) to achieve net zero and imply the circular economy MM Hasan, RK Plamthottathil, J Morshed, D Sarkar, N Hameed, S Cirstea 2023 IEEE International Conference on Blockchain and Cryptocurrency (ICBC), 1-3, 2023 | 4 | 2023 |
| Predicting stance to detect misinformation in few-shot learning XY Liew, N Hameed, J Clos, JE Fischer Proceedings of the First International Symposium on Trustworthy Autonomous …, 2023 | 2 | 2023 |
Antesar Ramadan M ShabutLecturer in Computer Science - Leeds Trinity UniversityE-mail megerősítve itt: leedstrinity.ac.uk