A data mining approach for inventory forecasting: A case study of a medical store BR Hussein, A Kasem, S Omar, NZ Siau Computational Intelligence in Information Systems: Proceedings of the …, 2019 | 9 | 2019 |
A study on loss functions and decision thresholds for the segmentation of multiple sclerosis lesions on spinal cord MRI BR Hussein, C Meurée, M Gaubert, A Masson, A Kerbrat, B Combès, ... 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023 | 1 | 2023 |
An ensemble learning based classification approach for the prediction of household solid waste generation A Namoun, BR Hussein, A Tufail, A Alrehaili, TA Syed, O BenRhouma Sensors 22 (9), 3506, 2022 | 23 | 2022 |
Application of computer vision and machine learning for digitized herbarium specimens: A systematic literature review BR Hussein, OA Malik, WH Ong, JWF Slik arXiv preprint arXiv:2104.08732, 2021 | 4 | 2021 |
Applications of computer vision and machine learning techniques for digitized herbarium specimens: A systematic literature review BR Hussein, OA Malik, WH Ong, JWF Slik Ecological Informatics 69, 101641, 2022 | 17 | 2022 |
Automated classification of tropical plant species data based on machine learning techniques and leaf trait measurements BR Hussein, OA Malik, WH Ong, JWF Slik Computational Science and Technology: 6th ICCST 2019, Kota Kinabalu …, 2020 | 24 | 2020 |
Automated extraction of phenotypic leaf traits of individual intact herbarium leaves from herbarium specimen images using deep learning based semantic segmentation BR Hussein, OA Malik, WH Ong, JWF Slik Sensors 21 (13), 4549, 2021 | 17 | 2021 |
Automated real-time identification of medicinal plants species in natural environment using deep learning models—a case study from Borneo Region OA Malik, N Ismail, BR Hussein, U Yahya Plants 11 (15), 1952, 2022 | 28 | 2022 |
Computational Science and Technology BR Hussein, OA Malik, WH Ong, JWF Slik Springer, 2020 | 6 | 2020 |
Corrigendum to" Applications of computer vision and machine learning techniques for digitized herbarium specimens: A systematic literature review"[Ecological Informatics … BR Hussein, OA Malik, WH Ong, JWF Slik Ecological Informatics 76, 102134, 2023 | | 2023 |
Deep Learning Techniques BR Hussein, OA Malik, WH Ong, J Willem, F Slik Computational Science and Technology: 6th ICCST 2019, Kota Kinabalu …, 2019 | | 2019 |
Ensemble deep learning models for fine-grained plant species identification OA Malik, M Faisal, BR Hussein 2021 IEEE Asia-Pacific Conference on Computer Science and Data Engineering …, 2021 | 12 | 2021 |
Expert Variability and Deep Learning Performance in Spinal Cord Lesion Segmentation for Multiple Sclerosis Patients R Walsh, C Meurée, A Kerbrat, A Masson, BR Hussein, M Gaubert, ... 2023 IEEE 36th International Symposium on Computer-Based Medical Systems …, 2023 | | 2023 |
Organized Special Tracks M Polsinelli, C Cury, F Galassi, HB Li, A Sciarra, AA Citarella, C Bisogni, ... | | |
Reconstruction of damaged herbarium leaves using deep learning techniques for improving classification accuracy BR Hussein, OA Malik, WH Ong, JWF Slik Ecological Informatics 61, 101243, 2021 | 18 | 2021 |
Semantic segmentation of herbarium specimens using deep learning techniques BR Hussein, OA Malik, WH Ong, JWF Slik Computational Science and Technology: 6th ICCST 2019, Kota Kinabalu …, 2020 | 21 | 2020 |
Service selection using an ensemble meta-learning classifier for students with disabilities A Namoun, MA Humayun, O BenRhouma, BR Hussein, A Tufail, ... Multimodal Technologies and Interaction 7 (5), 42, 2023 | 3 | 2023 |
Social, Economic and Ethical Consequences of AI BR Hussein Brunei, University Brunei Darussalam Publ, 2018 | 3 | 2018 |
The Future of Artificial Intelligence and its Social, Economic and Ethical Consequences BR Hussein, H Chongomweru, S Muhammad Tariq International Conference on Advances in Computing and Technology (ICACT–2020 …, 2020 | 7 | 2020 |