Improving kNN for Human Activity Recognition with Privileged Learning Using Translation Models. - Anjana Wijekoon; Nirmalie Wiratunga; Sadiq Sani; Stewart Massie; Kay Cooper (ICCBR, 2018)

Zero-Shot Learning with Matching Networks for Open-Ended Human Activity Recognition. - Anjana Wijekoon; Nirmalie Wiratunga; Sadiq Sani (SICSA ReaLX, 2018)

Workshop preface. - Kyle Martin; Stelios Kapetanakis; Anjana Wijekoon; Kareem Amin 001; Stewart Massie (ICCBR Workshops, 2019)

Human Activity Recognition with Deep Metric Learners. - Kyle Martin; Anjana Wijekoon; Nirmalie Wiratunga (ICCBR Workshops, 2019)

Learning to Self-Manage by Intelligent Monitoring, Prediction and Intervention. - Nirmalie Wiratunga; David Corsar; Kyle Martin; Anjana Wijekoon; Eyad Elyan; Zina M. Ibrahim; Oya Celikutan; Richard J. B. Dobson; Stephen J. McKenna; Jacqui Morris; Annalu Waller; Raed A. Abd-Alhammed; et al. (KDH@IJCAI, 2019)

MEx: Multi-modal Exercises Dataset for Human Activity Recognition. - Anjana Wijekoon; Nirmalie Wiratunga; Kay Cooper (CoRR, 2019)

MEx. - Anjana Wijekoon; Nirmalie Wiratunga; Kay Cooper (UCI Machine Learning Repository, 2019)

MEx - Multi-modal Exercise Dataset. - Anjana Wijekoon; Nirmalie Wiratunga; Kay Cooper (IEEE DataPort, 2019)

Evaluating the Transferability of Personalised Exercise Recognition Models. - Anjana Wijekoon; Nirmalie Wiratunga (EANN, 2020)

Learning to Recognise Exercises in the Self-Management of Low Back Pain. - Anjana Wijekoon; Nirmalie Wiratunga; Kay Cooper; Kerstin Bach (FLAIRS, 2020)

Learning to Compare with Few Data for Personalised Human Activity Recognition. - Nirmalie Wiratunga; Anjana Wijekoon; Kay Cooper (ICCBR, 2020)

Heterogeneous Multi-Modal Sensor Fusion with Hybrid Attention for Exercise Recognition. - Anjana Wijekoon; Nirmalie Wiratunga; Kay Cooper (IJCNN, 2020)

Personalised Meta-Learning for Human Activity Recognition with Few-Data. - Anjana Wijekoon; Nirmalie Wiratunga (SGAI Conf., 2020)

FitChat: Conversational Artificial Intelligence Interventions for Encouraging Physical Activity in Older Adults. - Nirmalie Wiratunga; Kay Cooper; Anjana Wijekoon; Chamath Palihawadana; Vanessa Mendham; Ehud Reiter; Kyle Martin (CoRR, 2020)

Learning-to-Learn Personalised Human Activity Recognition Models. - Anjana Wijekoon; Nirmalie Wiratunga (CoRR, 2020)

A knowledge-light approach to personalised and open-ended human activity recognition. - Anjana Wijekoon; Nirmalie Wiratunga; Sadiq Sani; Kay Cooper (Knowl. Based Syst., 2020)

Actionable Feature Discovery in Counterfactuals using Feature Relevance Explainers. - Nirmalie Wiratunga; Anjana Wijekoon; Ikechukwu Nkisi-Orji; Kyle Martin; Chamath Palihawadana; David Corsar (ICCBR Workshops, 2021)

DisCERN: Discovering Counterfactual Explanations using Relevance Features from Neighbourhoods. - Nirmalie Wiratunga; Anjana Wijekoon; Ikechukwu Nkisi-Orji; Kyle Martin; Chamath Palihawadana; David Corsar (ICTAI, 2021)

Reasoning with Counterfactual Explanations for Code Vulnerability Detection and Correction. - Anjana Wijekoon; Nirmalie Wiratunga (AI-Cybersec@SGAI, 2021)

Counterfactual Explanations for Student Outcome Prediction with Moodle Footprints. - Anjana Wijekoon; Nirmalie Wiratunga; Ikechukwu Nkisi-Orji; Kyle Martin; Chamath Palihawadana; David Corsar (SICSA XAI, 2021)

Conceptual Modelling of Explanation Experiences Through the iSeeOnto Ontology. - Marta Caro-Martínez; Anjana Wijekoon; Juan A. Recio-García; David Corsar; Ikechukwu Nkisi-Orji (ICCBR Workshops, 2022)

iSee: Intelligent Sharing of Explanation Experiences. - Kyle Martin; Anjana Wijekoon; Nirmalie Wiratunga; Chamath Palihawadana; Ikechukwu Nkisi-Orji; David Corsar; Belén Díaz-Agudo; Juan A. Recio-García; Marta Caro-Martínez; Derek Bridge 001; Preeja Pradeep; Anne Liret; et al. (ICCBR Workshops, 2022)

Adapting Semantic Similarity Methods for Case-Based Reasoning in the Cloud. - Ikechukwu Nkisi-Orji; Chamath Palihawadana; Nirmalie Wiratunga; David Corsar; Anjana Wijekoon (ICCBR, 2022)

Introducing Clood CBR: A Cloud Based CBR Framework. - Chamath Palihawadana; Ikechukwu Nkisi-Orji; Nirmalie Wiratunga; David Corsar; Anjana Wijekoon (ICCBR Workshops, 2022)

How Close Is Too Close? The Role of Feature Attributions in Discovering Counterfactual Explanations. - Anjana Wijekoon; Nirmalie Wiratunga; Ikechukwu Nkisi-Orji; Chamath Palihawadana; David Corsar; Kyle Martin (ICCBR, 2022)

Clinical Dialogue Transcription Error Correction using Seq2Seq Models. - Gayani Nanayakkara; Nirmalie Wiratunga; David Corsar; Kyle Martin; Anjana Wijekoon (CoRR, 2022)

Behaviour Trees for Conversational Explanation Experiences. - Anjana Wijekoon; David Corsar; Nirmalie Wiratunga (CoRR, 2022)

FedSim: Similarity guided model aggregation for Federated Learning. - Chamath Palihawadana; Nirmalie Wiratunga; Anjana Wijekoon; Harsha K. Kalutarage (Neurocomputing, 2022)

Towards Feasible Counterfactual Explanations: A Taxonomy Guided Template-Based NLG Method. - Pedram Salimi; Nirmalie Wiratunga; David Corsar; Anjana Wijekoon (ECAI, 2023)

Mitigating Gradient Inversion Attacks in Federated Learning with Frequency Transformation. - Chamath Palihawadana; Nirmalie Wiratunga; Harsha Kalutarage; Anjana Wijekoon (ESORICS Workshops (2), 2023)

Machine Learning for Risk Stratification of Diabetic Foot Ulcers Using Biomarkers. - Kyle Martin; Ashish Upadhyay; Anjana Wijekoon; Nirmalie Wiratunga; Stewart Massie (ICCS (3), 2023)

The Current and Future Role of Visual Question Answering in eXplainable Artificial Intelligence. - Marta Caro-Martínez; Anjana Wijekoon; Belén Díaz-Agudo; Juan A. Recio-García (ICCBR Workshops, 2023)

Failure-Driven Transformational Case Reuse of Explanation Strategies in CloodCBR. - Ikechukwu Nkisi-Orji; Chamath Palihawadana; Nirmalie Wiratunga; Anjana Wijekoon; David Corsar (ICCBR, 2023)

AGREE: A Feature Attribution Aggregation Framework to Address Explainer Disagreements with Alignment Metrics. - Craig Pirie; Nirmalie Wiratunga; Anjana Wijekoon; Carlos Francisco Moreno-García (ICCBR Workshops, 2023)

CBR Driven Interactive Explainable AI. - Anjana Wijekoon; Nirmalie Wiratunga; Kyle Martin; David Corsar; Ikechukwu Nkisi-Orji; Chamath Palihawadana; Derek G. Bridge; Preeja Pradeep; Belén Díaz-Agudo; Marta Caro-Martínez (ICCBR, 2023)

iSee: Intelligent Sharing of Explanation Experience by Users for Users. - Anjana Wijekoon; Nirmalie Wiratunga; Chamath Palihawadana; Ikechukwu Nkisi-Orji; David Corsar; Kyle Martin (IUI Companion, 2023)

Clinical Dialogue Transcription Error Correction with Self-supervision. - Gayani Nanayakkara; Nirmalie Wiratunga; David Corsar; Kyle Martin; Anjana Wijekoon (SGAI Conf., 2023)

A user-centred evaluation of DisCERN: Discovering counterfactuals for code vulnerability detection and correction. - Anjana Wijekoon; Nirmalie Wiratunga (Knowl. Based Syst., 2023)

iSee: Advancing Multi-Shot Explainable AI Using Case-Based Recommendations. - Anjana Wijekoon; Nirmalie Wiratunga; David Corsar; Kyle Martin; Ikechukwu Nkisi-Orji; Chamath Palihawadana; Marta Caro-Martínez; Belén Díaz-Agudo; Derek G. Bridge; Anne Liret (ECAI, 2024)

Building Personalised XAI Experiences Through iSee: a Case-Based Reasoning-Driven Platform. - Marta Caro-Martínez; Anne Liret; Belén Díaz-Agudo; Juan A. Recio-García; Jesus M. Darias; Nirmalie Wiratunga; Anjana Wijekoon; Kyle Martin; Ikechukwu Nkisi-Orji; David Corsar; Chamath Palihawadana; Craig Pirie; et al. (xAI (Late-breaking Work, Demos, Doctoral Consortium), 2024)

Tell me more: Intent Fulfilment Framework for Enhancing User Experiences in Conversational XAI. - Anjana Wijekoon; David Corsar; Nirmalie Wiratunga; Kyle Martin; Pedram Salimi (CoRR, 2024)

XEQ Scale for Evaluating XAI Experience Quality Grounded in Psychometric Theory. - Anjana Wijekoon; Nirmalie Wiratunga; David Corsar; Kyle Martin; Ikechukwu Nkisi-Orji; Belén Díaz-Agudo; Derek G. Bridge (CoRR, 2024)

FedFT: Improving Communication Performance for Federated Learning with Frequency Space Transformation. - Chamath Palihawadana; Nirmalie Wiratunga; Anjana Wijekoon; Harsha Kalutarage (CoRR, 2024)

PitRSDNet: Predicting Intra-operative Remaining Surgery Duration in Endoscopic Pituitary Surgery. - Anjana Wijekoon; Adrito Das; Roxana Ramirez Herrera; Danyal Z. Khan; John G. Hanrahan; Eleanor Carter; Valpuri Luoma; Danail Stoyanov; Hani J. Marcus; Sophia Bano (CoRR, 2024)

A practical exploration of the convergence of Case-Based Reasoning and Explainable Artificial Intelligence. - Preeja Pradeep; Marta Caro-Martínez; Anjana Wijekoon (Expert Syst. Appl., 2024)

iSee: A case-based reasoning platform for the design of explanation experiences. - Marta Caro-Martínez; Juan A. Recio-García; Belén Díaz-Agudo; Jesus M. Darias; Nirmalie Wiratunga; Kyle Martin; Anjana Wijekoon; Ikechukwu Nkisi-Orji; David Corsar; Preeja Pradeep; Derek G. Bridge; Anne Liret (Knowl. Based Syst., 2024)