activity
20112024
most citedComparing SVM and Naive Bayes classifiers for text categorization with Wikitology as knowledge enrichment

47 citations · 135 across the 12 of their papers we have counts for

collaborators

12 papers

cs.SE2024★ 3 cited

Textual analysis of End User License Agreement for red-flagging potentially malicious software

Behraj Khan, Tahir Syed, Zeshan Khan +1

New software and updates are downloaded by end users every day. Each dowloaded software has associated with it an End Users License Agreements (EULA), but this is rarely read. An E…

cs.CL2022

Artificial Interrogation for Attributing Language Models

Farhan Dhanani, Muhammad Rafi

This paper presents solutions to the Machine Learning Model Attribution challenge (MLMAC) collectively organized by MITRE, Microsoft, Schmidt-Futures, Robust-Intelligence, Lincoln-…

cs.CR2020

An Intelligent and Time-Efficient DDoS Identification Framework for Real-Time Enterprise Networks SAD-F: Spark Based Anomaly Detection Framework

Awais Ahmed, Sufian Hameed, Muhammad Rafi +1

Anomaly detection is a crucial step for preventing malicious activities in the network and keeping resources available all the time for legitimate users. It is noticed from various…

cs.IR2015★ 10 cited

Classification of Research Citations (CRC)

Bilal Hayat Butt, Muhammad Rafi, Arsal Jamal +3

Research is a continuous phenomenon. It is recursive in nature. Every research is based on some earlier research outcome. A general approach in reviewing the literature for a probl…

cs.IR2014★ 6 cited

Document clustering using graph based document representation with constraints

Muhammad Rafi, Farnaz Amin, Mohammad Shahid Shaikh

Document clustering is an unsupervised approach in which a large collection of documents (corpus) is subdivided into smaller, meaningful, identifiable, and verifiable sub-groups (c…

cs.IR2013★ 23 cited

An improved semantic similarity measure for document clustering based on topic maps

Muhammad Rafi, Mohammad Shahid Shaikh

A major computational burden, while performing document clustering, is the calculation of similarity measure between a pair of documents. Similarity measure is a function that assi…