5 citations · 17 across the 13 of their papers we have counts for
13 papers
Automated Cervical Os Segmentation for Camera-Guided, Speculum-Free Screening
Aoife McDonald-Bowyer, Anjana Wijekoon, Ryan Laurance Love +7
Cervical cancer is highly preventable, yet persistent barriers to screening limit progress toward elimination goals. Speculum-free devices that integrate imaging and sampling could…
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…
PitRSDNet: Predicting Intra-operative Remaining Surgery Duration in Endoscopic Pituitary Surgery
Anjana Wijekoon, Adrito Das, Roxana R. Herrera +7
Accurate intra-operative Remaining Surgery Duration (RSD) predictions allow for anaesthetists to more accurately decide when to administer anaesthetic agents and drugs, as well as…
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…
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…
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…
Towards Feasible Counterfactual Explanations: A Taxonomy Guided Template-based NLG Method
Pedram Salimi, Nirmalie Wiratunga, David Corsar +1
Counterfactual Explanations (cf-XAI) describe the smallest changes in feature values necessary to change an outcome from one class to another. However, many cf-XAI methods neglect…
Behaviour Trees for Creating Conversational Explanation Experiences
Anjana Wijekoon, David Corsar, Nirmalie Wiratunga
This paper presented an XAI system specification and an interactive dialogue model to facilitate the creation of Explanation Experiences (EE). Such specifications combine the knowl…
Clinical Dialogue Transcription Error Correction using Seq2Seq Models
Gayani Nanayakkara, Nirmalie Wiratunga, David Corsar +2
Good communication is critical to good healthcare. Clinical dialogue is a conversation between health practitioners and their patients, with the explicit goal of obtaining and shar…
DisCERN:Discovering Counterfactual Explanations using Relevance Features from Neighbourhoods
Nirmalie Wiratunga, Anjana Wijekoon, Ikechukwu Nkisi-Orji +3
Counterfactual explanations focus on "actionable knowledge" to help end-users understand how a machine learning outcome could be changed to a more desirable outcome. For this purpo…
Learning-to-Learn Personalised Human Activity Recognition Models
Anjana Wijekoon, Nirmalie Wiratunga
Human Activity Recognition~(HAR) is the classification of human movement, captured using one or more sensors either as wearables or embedded in the environment~(e.g. depth cameras,…
FitChat: Conversational Artificial Intelligence Interventions for Encouraging Physical Activity in Older Adults
Nirmalie Wiratunga, Kay Cooper, Anjana Wijekoon +4
Delivery of digital behaviour change interventions which encourage physical activity has been tried in many forms. Most often interventions are delivered as text notifications, but…
MEx: Multi-modal Exercises Dataset for Human Activity Recognition
Anjana Wijekoon, Nirmalie Wiratunga, Kay Cooper
MEx: Multi-modal Exercises Dataset is a multi-sensor, multi-modal dataset, implemented to benchmark Human Activity Recognition(HAR) and Multi-modal Fusion algorithms. Collection of…