| Gene-encoder: A feature selection technique through unsupervised deep learning-based clustering for large gene expression data Uzma, F Al-Obeidat, A Tubaishat, B Shah, Z Halim Neural Computing and Applications, 1-23, 2020 | 51 | 2020 |
| Optimizing the minimum spanning tree-based extracted clusters using evolution strategy Z Halim, Uzma Cluster Computing 21 (1), 377-391, 2018 | 32 | 2018 |
| Optimizing the DNA fragment assembly using metaheuristic-based overlap layout consensus approach Uzma, H Zahid Applied soft computing, 106256, 2020 | 20 | 2020 |
| Clustering of Graphs Using Pseudo-Guided Random Walk Z Halim, HM Sargana, Aadam, Uzma, M Waqas Computational Science, 2021 | 17 | 2021 |
| Protein encoder: An autoencoder-based ensemble feature selection scheme to predict protein secondary structure U Uzma, Manzoor, Z Halim Expert Systems with Applications 213, 119081, 2023 | 12 | 2023 |
| An ensemble filter-based heuristic approach for cancerous gene expression classification Uzma, Halim, Zahid Knowledge-Based Systems, 107560, 2021 | 11 | 2021 |
Zahid HalimGIK Institute of Engineering Sciences and TechnologyVerified email at giki.edu.pk
