activity
20192026
most citedThis changes to that : Combining causal and non-causal explanations to generate disease progression in capsule endoscopy

8 citations · 30 across the 17 of their papers we have counts for

collaborators
Showing 2024Show all

6 papers · 1 filter

cs.DC2024

FedFT: Improving Communication Performance for Federated Learning with Frequency Space Transformation

Chamath Palihawadana, Nirmalie Wiratunga, Anjana Wijekoon +1

Communication efficiency is a widely recognised research problem in Federated Learning (FL), with recent work focused on developing techniques for efficient compression, distributi…

cs.AI2024

iSee: Advancing Multi-Shot Explainable AI Using Case-based Recommendations

Anjana Wijekoon, Nirmalie Wiratunga, David Corsar +7

Explainable AI (XAI) can greatly enhance user trust and satisfaction in AI-assisted decision-making processes. Recent findings suggest that a single explainer may not meet the dive…

cs.LG2024

A Survey of AI-Powered Mini-Grid Solutions for a Sustainable Future in Rural Communities

Craig Pirie, Harsha Kalutarage, Muhammad Shadi Hajar +8

This paper presents a comprehensive survey of AI-driven mini-grid solutions aimed at enhancing sustainable energy access. It emphasises the potential of mini-grids, which can opera…

cs.AI2024★ 1 cited

XEQ Scale for Evaluating XAI Experience Quality

Anjana Wijekoon, Nirmalie Wiratunga, David Corsar +4

Explainable Artificial Intelligence (XAI) aims to improve the transparency of autonomous decision-making through explanations. Recent literature has emphasised users' need for holi…

cs.HC2024

Tell me more: Intent Fulfilment Framework for Enhancing User Experiences in Conversational XAI

Anjana Wijekoon, David Corsar, Nirmalie Wiratunga +2

The evolution of Explainable Artificial Intelligence (XAI) has emphasised the significance of meeting diverse user needs. The approaches to identifying and addressing these needs m…

cs.CL2024★ 4 cited

CBR-RAG: Case-Based Reasoning for Retrieval Augmented Generation in LLMs for Legal Question Answering

Nirmalie Wiratunga, Ramitha Abeyratne, Lasal Jayawardena +6

Retrieval-Augmented Generation (RAG) enhances Large Language Model (LLM) output by providing prior knowledge as context to input. This is beneficial for knowledge-intensive and exp…