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Zafaryab Rasool
Zafaryab Rasool
Research Fellow, Deakin University
Verified email at deakin.edu.au - Homepage
Title
Cited by
Cited by
Year
Index-based solutions for efficient density peak clustering
Z Rasool, R Zhou, L Chen, C Liu, J Xu
IEEE Transactions on Knowledge and Data Engineering, 2020
182020
Overcoming weaknesses of density peak clustering using a data-dependent similarity measure
Z Rasool, S Aryal, MR Bouadjenek, R Dazeley
Pattern Recognition 137, 109287, 2023
62023
LLMs for Test Input Generation for Semantic Caches
Z Rasool, S Barnett, D Willie, S Kurniawan, S Balugo, S Thudumu, ...
arXiv preprint arXiv:2401.08138, 2024
2024
Evaluating LLMs on Document-Based QA: Exact Answer Selection and Numerical Extraction using Cogtale datase
Z Rasool, S Barnett, S Kurniawan, S Balugo, R Vasa, C Chesser, ...
arXiv preprint arXiv:2311.07878, 2023
2023
Data-dependent and Scale-Invariant Kernel for Support Vector Machine Classification
VV Malgi, S Aryal, Z Rasool, D Tay
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 171-182, 2023
2023
Density Peak Clustering of Categorical Data
Z Rasool, S Aryal, MR Bouadjenek
Available at SSRN 4453426, 2023
2023
Density Peak Clustering on Large and Dynamic Data
Z Rasool
Swinburne University of Technology, 2021
2021
Index-based Solutions for Efficient Density Peak Clustering
Z Rasool, R Zhou, L Chen, C Liu, J Xu
arXiv preprint arXiv:2002.03182, 2020
2020
Enhancing Mixed Data Clustering with a Novel Probability Mass-Based Similarity Measure
Z Rasool, S Aryal, MR Bouadjenek
Available at SSRN 4630800, 0
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Articles 1–9