Preliminary results for neuroevolutionary optimization phase order generation for static compilation. - Gene I. Sher; Kyle Martin; Damian Dechev (ODES@CGO, 2014)

A Case-Based Real-Time Adaptive Engineer Site Support System. - Kyle Martin (ICCBR (Workshops), 2017)

A Convolutional Siamese Network for Developing Similarity Knowledge in the SelfBACK Dataset. - Kyle Martin; Nirmalie Wiratunga; Sadiq Sani; Stewart Massie; Jérémie Clos (ICCBR (Workshops), 2017)

GramError: A Quality Metric for Machine Generated Songs. - Craig Davies; Nirmalie Wiratunga; Kyle Martin (SGAI Conf., 2018)

Risk Information Recommendation for Engineering Workers. - Kyle Martin; Anne Liret; Nirmalie Wiratunga; Gilbert Owusu; Mathias Kern (SGAI Conf., 2018)

Informed Pair Selection for Self-paced Metric Learning in Siamese Neural Networks. - Kyle Martin; Nirmalie Wiratunga; Stewart Massie; Jérémie Clos (SGAI Conf., 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)

Developing a Catalogue of Explainability Methods to Support Expert and Non-expert Users. - Kyle Martin; Anne Liret; Nirmalie Wiratunga; Gilbert Owusu; Mathias Kern (SGAI Conf., 2019)

n-m-Variant Systems: Adversarial-Resistant Software Rejuvenation for Cloud-Based Web Applications. - Isaac Polinsky; Kyle Martin; William Enck; Michael K. Reiter (CODASPY, 2020)

Assessing the Clinicians' Pathway to Embed Artificial Intelligence for Assisted Diagnostics of Fracture Detection. - Carlos Francisco Moreno-García; Truong Dang; Kyle Martin; Manish Patel; Andrew Thompson 008; Lesley Leishman; Nirmalie Wiratunga (KDH@ECAI, 2020)

Locality Sensitive Batch Selection for Triplet Networks. - Kyle Martin; Nirmalie Wiratunga; Sadiq Sani (IJCNN, 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)

Favocado: Fuzzing the Binding Code of JavaScript Engines Using Semantically Correct Test Cases. - Sung Ta Dinh; Haehyun Cho; Kyle Martin; Adam Oest; Kyle Zeng; Alexandros Kapravelos; Gail-Joon Ahn; Tiffany Bao; Ruoyu Wang 001; Adam Doupé; Yan Shoshitaishvili (NDSS, 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)

Evaluating Explainability Methods Intended for Multiple Stakeholders. - Kyle Martin; Anne Liret; Nirmalie Wiratunga; Gilbert Owusu; Mathias Kern (Künstliche Intell., 2021)

Similarity and explanation for dynamic telecommunication engineer support - Kyle Martin (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)

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)

Evaluating a Pass/Fail Grading Model in First Year Undergraduate Computing. - Mark Zarb; Roger McDermott; Kyle Martin; Tiffany Young; Jess McGowan (FIE, 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)

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)

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)

CBR-RAG: Case-Based Reasoning for Retrieval Augmented Generation in LLMs for Legal Question Answering. - Nirmalie Wiratunga; Ramitha Abeyratne; Lasal Jayawardena; Kyle Martin; Stewart Massie; Ikechukwu Nkisi-Orji; Ruvan Weerasinghe; Anne Liret; Bruno Fleisch (ICCBR, 2024)

SCaLe-QA: Sri lankan Case Law Embeddings for Legal QA. - Lasal Jayawardena; Nirmalie Wiratunga; Ramitha Abeyratne; Kyle Martin; Ikechukwu Nkisi-Orji; Ruvan Weerasinghe (SICSA REALLM, 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)

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)

AlignLLM: Alignment-Based Evaluation Using Ensemble of LLMs-as-Judges for Q&A. - Ramitha Abeyratne; Nirmalie Wiratunga; Kyle Martin; Ikechukwu Nkisi-Orji; Lasal Jayawardena (ICCBR, 2025)