Clood CBR: Towards Microservices Oriented Case-Based Reasoning. - Ikechukwu Nkisi-Orji; Nirmalie Wiratunga; Chamath Palihawadana; Juan A. Recio-García; David Corsar (ICCBR, 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)

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)

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)

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)

Explainable Weather Forecasts Through an LSTM-CBR Twin System. - Craig Pirie; Malavika Suresh; Pedram Salimi; Chamath Palihawadana; Gayani Nanayakkara (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)

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

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

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

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)

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