activity
20172026
most citedShapley value-based approaches to explain the robustness of classifiers in machine learning

2 citations · 2 across the 3 of their papers we have counts for

collaborators

6 papers

cs.AI2026

When Is Smaller Greener? Right-Sizing Language Models for Agentic AI

Sajid Siraj, Maria Barbati

AI agents use large language models (LLMs) to plan and act over multiple steps, yet models are usually compared per call rather than per completed task. This paper asks: which mode…

cs.CY2026

Detecting Deceptive Recruitment: A Signal-theoretic Machine Learning Framework for Early Identification of Labour Exploitation

Sajid Siraj, Mahnaz Hosseinzadeh, Amin Vafadarnikjoo +1

Deceptive online job advertisements have emerged as a primary pathway into forced labour, yet systematic detection methods remain underdeveloped due to data scarcity and absence of…

cs.CY2022

How fair were COVID-19 restriction decisions? A data-driven investigation of England using the dominance-based rough sets approach

Edward Abel, Sajid Siraj

During the COVID-19 pandemic, several countries have taken the approach of tiered restrictions which has remained a point of debate due to a lack of transparency. Using the dominan…

cs.LG2022★ 2 cited

Shapley value-based approaches to explain the robustness of classifiers in machine learning

Guilherme Dean Pelegrina, Sajid Siraj

The use of algorithm-agnostic approaches is an emerging area of research for explaining the contribution of individual features towards the predicted outcome. Whilst there is a foc…

econ.GN2021

Preference Analysis Using Random Spanning Trees: A Stochastic Sampling Approach to Inconsistent Pairwise Comparisons

Salvatore Greco, Sajid Siraj, Michele Lundy

Eliciting preferences from human judgements is inherently imprecise, yet most decision analysis methods force a single priority vector from pairwise comparisons, discarding the inf…

cs.NI2017

Remaining Idle Time Aware Intelligent Channel Bonding Schemes for Cognitive Radio Sensor Networks

Syed Hashim Raza Bukhari, Mubashir Husain Rehmani, Sajid Siraj

Channel Bonding (CB) is a technique used to provide larger bandwidth to users. It has been applied to various networks such as wireless local area networks (WLANs), Wireless Sensor…