Index-based Solutions for Efficient Density Peaks Clustering. - Zafaryab Rasool; Rui Zhou 001; Lu Chen 008; Chengfei Liu; Jiajie Xu 001 (CoRR, 2020)

Index-based Solutions for Efficient Density Peak Clustering (Extended Abstract). - Zafaryab Rasool; Rui Zhou 001; Lu Chen 008; Chengfei Liu; Jiajie Xu 001 (ICDE, 2021)

Index-Based Solutions for Efficient Density Peak Clustering. - Zafaryab Rasool; Rui Zhou 001; Lu Chen 008; Chengfei Liu; Jiajie Xu 001 (IEEE Trans. Knowl. Data Eng., 2022)

Data-dependent and Scale-Invariant Kernel for Support Vector Machine Classification. - Vinayaka Vivekananda Malgi; Sunil Aryal; Zafaryab Rasool; David Tay (PAKDD (1), 2023)

Evaluating LLMs on Document-Based QA: Exact Answer Selection and Numerical Extraction using Cogtale dataset. - Zafaryab Rasool; Scott Barnett; Stefanus Kurniawan; Sherwin Balugo; Rajesh Vasa; Courtney Chesser; Alex Bahar-Fuchs (CoRR, 2023)

Overcoming weaknesses of density peak clustering using a data-dependent similarity measure. - Zafaryab Rasool; Sunil Aryal; Mohamed Reda Bouadjenek; Richard Dazeley (Pattern Recognit., 2023)

LLMs for Test Input Generation for Semantic Applications. - Zafaryab Rasool; Scott Barnett; David Willie; Stefanus Kurniawan; Sherwin Balugo; Srikanth Thudumu; Mohamed Abdelrazek 001 (CAIN, 2024)

LLMs for Test Input Generation for Semantic Caches. - Zafaryab Rasool; Scott Barnett; David Willie; Stefanus Kurniawan; Sherwin Balugo; Srikanth Thudumu; Mohamed Almorsy Abdelrazek (CoRR, 2024)

Large language models for generating rules, yay or nay? - Shangeetha Sivasothy; Scott Barnett; Rena Logothetis; Mohamed Abdelrazek 001; Zafaryab Rasool; Srikanth Thudumu; Zach Brannelly (CoRR, 2024)

RAGProbe: An Automated Approach for Evaluating RAG Applications. - Shangeetha Sivasothy; Scott Barnett; Stefanus Kurniawan; Zafaryab Rasool; Rajesh Vasa (CoRR, 2024)

Evaluating LLMs on document-based QA: Exact answer selection and numerical extraction using CogTale dataset. - Zafaryab Rasool; Stefanus Kurniawan; Sherwin Balugo; Scott Barnett; Rajesh Vasa; Courtney Chesser; Benjamin M. Hampstead; Sylvie Belleville; Kon Mouzakis; Alex Bahar-Fuchs (Nat. Lang. Process. J., 2024)

RAGProbe: Breaking RAG Pipelines with Evaluation Scenarios. - Shangeetha Sivasothy; Scott Barnett; Stefanus Kurniawan; Zafaryab Rasool; Rajesh Vasa (CAIN, 2025)

The M-factor: A Novel Metric for Evaluating Neural Architecture Search in Resource-Constrained Environments. - Srikanth Thudumu; Hy Nguyen; Hung Du; Nhat Duong; Zafaryab Rasool; Rena Logothetis; Scott Barnett; Rajesh Vasa; Kon Mouzakis (CoRR, 2025)