Counting and classification of malarial parasite from giemsa-stained thin film images W Kudisthalert, K Pasupa, S Tongsima IEEE Access 8, 78663-78682, 2020 | 34 | 2020 |
Virtual screening by a new clustering-based weighted similarity extreme learning machine approach K Pasupa, W Kudisthalert Plos one 13 (4), e0195478, 2018 | 11 | 2018 |
A coefficient comparison of weighted similarity extreme learning machine for drug screening W Kudisthalert, K Pasupa 2016 8th International Conference on Knowledge and Smart Technology (KST), 43-48, 2016 | 7 | 2016 |
SELM: Siamese extreme learning machine with application to face biometrics W Kudisthalert, K Pasupa, A Morales, J Fierrez Neural Computing and Applications 34 (14), 12143-12157, 2022 | 3 | 2022 |
Clustering-based weighted extreme learning machine for classification in drug discovery process W Kudisthalert, K Pasupa Neural Information Processing: 23rd International Conference, ICONIP 2016 …, 2016 | 3 | 2016 |
Online Multi-camera People Tracking with Spatial-temporal Mechanism and Anchor-feature Hierarchical Clustering R Cherdchusakulchai, S Phimsiri, V Trairattanapa, S Tungjitnob, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 1 | 2024 |
Counting and Classification of Malarial Parasite From Giemsa-Stained Thin Film Images S TONGSIMA | | |