Case-Based Design for Tablet Formulation. - Susan Craw; Nirmalie Wiratunga; Ray Rowe (EWCBR, 1998)

Incorporating Backtracking Search with Knowledge Refinement. - Nirmalie Wiratunga; Susan Craw (EUROVAV, 1999)

Informed Selection of Training Examples for Knowledge Refinement. - Nirmalie Wiratunga; Susan Craw (EKAW, 2000)

Validation and verification of knowledge-based systems: report on EUROVAV99. - Frans Coenen; Trevor J. M. Bench-Capon; Robin Boswell; Juliette Dibie-Barthélemy; Barry Eaglestone; Rik Gerrits; Éric Grégoire; Antoni Ligeza; Luis M. Laita; Mieczyslaw L. Owoc; Florence Sellini; Silvie Spreeuwenberg; et al. (Knowl. Eng. Rev., 2000)

Informed selection and use of training examples for knowledge refinement. - Nirmalie Chandrika Wiratunga (2000)

Learning to Adapt for Case-Based Design. - Nirmalie Wiratunga; Susan Craw; Ray Rowe (ECCBR, 2002)

Index Driven Selective Sampling for CBR. - Nirmalie Wiratunga; Susan Craw; Stewart Massie (ICCBR, 2003)

CBR for SmartHouse Technology. - Nirmalie Wiratunga; Susan Craw; Bruce Taylor; Genevieve Davis (SGAI Conf. (Applications), 2003)

Feature Selection and Generalisation for Retrieval of Textual Cases. - Nirmalie Wiratunga; Ivan Koychev; Stewart Massie (ECCBR, 2004)

A Visualisation Tool to Explain Case-Base Reasoning Solutions for Tablet Formulation. - Stewart Massie; Susan Craw; Nirmalie Wiratunga (SGAI Conf. (Applications), 2004)

The Robert Gordon University's HARD Track Experiments at TREC 2004. - David J. Harper; Gheorghe Muresan; Bicheng Liu; Ivan Koychev; Dietrich Wettschereck; Nirmalie Wiratunga (TREC, 2004)

Case-based reasoning for matching technology to people's needs. - Nirmalie Wiratunga; Susan Craw; Bruce Taylor; Genevieve Davis (Knowl. Based Syst., 2004)

Complexity-Guided Case Discovery for Case Based Reasoning. - Stewart Massie; Susan Craw; Nirmalie Wiratunga (AAAI, 2005)

Extending jCOLIBRI for Textual CBR. - Juan A. Recio-García; Belén Díaz-Agudo; Marco Antonio Gómez-Martín; Nirmalie Wiratunga (ICCBR, 2005)

Textual Feature Construction from Keywords. - Nirmalie Wiratunga; Robert Lothian; Sutanu Chakraborti; Ivan Koychev (ICCBR Workshops, 2005)

A Propositional Approach to Textual Case Indexing. - Nirmalie Wiratunga; Robert Lothian; Sutanu Chakraborti; Ivan Koychev (PKDD, 2005)

Sprinkling: Supervised Latent Semantic Indexing. - Sutanu Chakraborti; Robert Lothian; Nirmalie Wiratunga; Stuart N. K. Watt (ECIR, 2006)

Fast Case Retrieval Nets for Textual Data. - Sutanu Chakraborti; Robert Lothian; Nirmalie Wiratunga; Amandine Orecchioni; Stuart N. K. Watt (ECCBR, 2006)

Complexity Profiling for Informed Case-Base Editing. - Stewart Massie; Susan Craw; Nirmalie Wiratunga (ECCBR, 2006)

Unsupervised Feature Selection for Text Data. - Nirmalie Wiratunga; Robert Lothian; Stewart Massie (ECCBR, 2006)

Learning adaptation knowledge to improve case-based reasoning. - Susan Craw; Nirmalie Wiratunga; Ray Rowe (Artif. Intell., 2006)

Informed Case Base Maintenance: A Complexity Profiling Approach. - Susan Craw; Stewart Massie; Nirmalie Wiratunga (AAAI, 2007)

Case Authoring: From Textual Reports to Knowledge-Rich Cases. - Stella Maris Asiimwe; Susan Craw; Bruce Taylor; Nirmalie Wiratunga (ICCBR, 2007)

Acquiring Word Similarities with Higher Order Association Mining. - Sutanu Chakraborti; Nirmalie Wiratunga; Robert Lothian; Stuart N. K. Watt (ICCBR, 2007)

When Similar Problems Don't Have Similar Solutions. - Stewart Massie; Susan Craw; Nirmalie Wiratunga (ICCBR, 2007)

From Anomaly Reports to Cases. - Stewart Massie; Nirmalie Wiratunga; Susan Craw; Alessandro Donati; Emmanuel Vicari (ICCBR, 2007)

Supervised Latent Semantic Indexing Using Adaptive Sprinkling. - Sutanu Chakraborti; Rahman Mukras; Robert Lothian; Nirmalie Wiratunga; Stuart N. K. Watt; David J. Harper (IJCAI, 2007)

Automatically Acquiring Structured Case Representations: The SMART Way. - Stella Maris Asiimwe; Susan Craw; Nirmalie Wiratunga; Bruce Taylor (SGAI Conf. (Applications), 2007)

Selecting Bi-Tags for Sentiment Analysis of Text. - Rahman Mukras; Nirmalie Wiratunga; Robert Lothian (SGAI Conf., 2007)

The Robert Gordon University at the Opinion Retrieval Task of the 2007 TREC Blog Track. - Rahman Mukras; Nirmalie Wiratunga; Robert Lothian (TREC, 2007)

Using computer aided case based reasoning to support clinical reasoning in community occupational therapy. - Bruce Taylor; David Robertson; Nirmalie Wiratunga; Susan Craw; Dawn Mitchell; Elaine Stewart (Comput. Methods Programs Biomed., 2007)

RaGoÛt: An Arpeggio of Tastes. - Ibrahim Adeyanju; Susan Craw; Abhishek Ghose 001; Allyson Gray; Nirmalie Wiratunga (ECCBR Workshops, 2008)

Visualizing and Evaluating Complexity of Textual Case Bases. - Sutanu Chakraborti; Ulises Cerviño Beresi; Nirmalie Wiratunga; Stewart Massie; Robert Lothian; Deepak Khemani (ECCBR, 2008)

k-NN Aggregation with a Stacked Email Representation. - Amandine Orecchioni; Nirmalie Wiratunga; Stewart Massie; Susan Craw (ECCBR, 2008)

Evaluation Measures for TCBR Systems. - M. A. Raghunandan; Nirmalie Wiratunga; Sutanu Chakraborti; Stewart Massie; Deepak Khemani (ECCBR, 2008)

Case Retrieval Reuse Net (CR2N): An Architecture for Reuse of Textual Solutions. - Ibrahim Adeyanju; Nirmalie Wiratunga; Robert Lothian; Somayajulu Sripada; Luc Lamontagne (ICCBR, 2009)

Novel local features with hybrid sampling technique for image retrieval. - Leszek Kaliciak; Dawei Song 001; Nirmalie Wiratunga; Jeff Z. Pan (CIKM, 2010)

Learning to Author Text with textual CBR. - Ibrahim Adeyanju; Nirmalie Wiratunga; Juan A. Recio-García; Robert Lothian (ECAI, 2010)

Applying Machine Translation Evaluation Techniques to Textual CBR. - Ibrahim Adeyanju; Nirmalie Wiratunga; Robert Lothian; Susan Craw (ICCBR, 2010)

Taxonomic Semantic Indexing for Textual Case-Based Reasoning. - Juan A. Recio-García; Nirmalie Wiratunga (ICCBR, 2010)

Selective Integration of Background Knowledge in TCBR Systems. - Anil Patelia; Sutanu Chakraborti; Nirmalie Wiratunga (ICCBR, 2011)

Term Similarity and Weighting Framework for Text Representation. - Sadiq Sani; Nirmalie Wiratunga; Stewart Massie; Robert Lothian (ICCBR, 2011)

Integrating case-based reasoning with an electronic patient record system. - Martijn van den Branden; Nirmalie Wiratunga; Dean Burton; Susan Craw (Artif. Intell. Medicine, 2011)

Enhancing Music Information Retrieval by Incorporating Image-Based Local Features. - Leszek Kaliciak; Ben Horsburgh; Dawei Song 001; Nirmalie Wiratunga; Jeff Z. Pan (AIRS, 2012)

Improving Content-Based Image Retrieval by Identifying Least and Most Correlated Visual Words. - Leszek Kaliciak; Dawei Song 001; Nirmalie Wiratunga; Jeff Z. Pan (AIRS, 2012)

Two-part segmentation of text documents. - P. Deepak 001; Karthik Visweswariah; Nirmalie Wiratunga; Sadiq Sani (CIKM, 2012)

Event Extraction for Reasoning with Text. - Sadiq Sani; Nirmalie Wiratunga; Stewart Massie; Robert Lothian (ICCBR, 2012)

Should Term-Relatedness Be Used in Text Representation? - Sadiq Sani; Nirmalie Wiratunga; Stewart Massie; Robert Lothian (ICCBR, 2013)

Combining Visual and Textual Systems within the Context of User Feedback. - Leszek Kaliciak; Dawei Song 001; Nirmalie Wiratunga; Jeff Z. Pan (MMM (1), 2013)

Contextual Sentiment Analysis in Social Media Using High-Coverage Lexicon. - Aminu Muhammad; Nirmalie Wiratunga; Robert Lothian; Richard Glassey (SGAI Conf., 2013)

Domain-Based Lexicon Enhancement for Sentiment Analysis. - Aminu Muhammad; Nirmalie Wiratunga; Robert Lothian; Richard Glassey (SMA@BCS-SGAI, 2013)

Sentiment Classification Using Supervised Sub-Spacing. - Sadiq Sani; Nirmalie Wiratunga; Stewart Massie; Robert Lothian (SGAI Conf., 2013)

Sentiment and Preference Guided Social Recommendation. - Yoke Yie Chen; Xavier Ferrer Aran; Nirmalie Wiratunga; Enric Plaza (ICCBR, 2014)

Supervised Semantic Indexing Using Sub-spacing. - Sadiq Sani; Nirmalie Wiratunga; Stewart Massie; Robert Lothian (ICCBR, 2014)

A Hybrid Sentiment Lexicon for Social Media Mining. - Aminu Muhammad; Nirmalie Wiratunga; Robert Lothian (ICTAI, 2014)

Preference and Sentiment Guided Social Recommendations with Temporal Dynamics. - Xavier Ferrer Aran; Yoke Yie Chen; Nirmalie Wiratunga; Enric Plaza (SGAI Conf., 2014)

Generating a Word-Emotion Lexicon from #Emotional Tweets. - Anil Bandhakavi; Nirmalie Wiratunga; Deepak P 001; Stewart Massie (*SEM@COLING, 2014)

Aspect Selection for Social Recommender Systems. - Yoke Yie Chen; Xavier Ferrer Aran; Nirmalie Wiratunga; Enric Plaza (ICCBR, 2015)

Context-Aware Sentiment Analysis of Social Media. - Aminu Muhammad; Nirmalie Wiratunga; Robert Lothian (Advances in Social Media Analysis, 2015)

Emotion-Corpus Guided Lexicons for Sentiment Analysis on Twitter. - Anil Bandhakavi; Nirmalie Wiratunga; Stewart Massie; P. Deepak 001 (SGAI Conf., 2016)

SELFBACK - Activity Recognition for Self-management of Low Back Pain. - Sadiq Sani; Nirmalie Wiratunga; Stewart Massie; Kay Cooper (SGAI Conf., 2016)

Contextual sentiment analysis for social media genres. - Aminu Muhammad; Nirmalie Wiratunga; Robert Lothian (Knowl. Based Syst., 2016)

Predicting Emotional Reaction in Social Networks. - Jérémie Clos; Anil Bandhakavi; Nirmalie Wiratunga; Guillaume Cabanac (ECIR, 2017)

Lexicon Induction for Interpretable Text Classification. - Jérémie Clos; Nirmalie Wiratunga (TPDL, 2017)

Taxonomic Corpus-Based Concept Summary Generation for Document Annotation. - Ikechukwu Nkisi-Orji; Nirmalie Wiratunga; Kit-Ying Hui; Rachel Heaven; Stewart Massie (TPDL, 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)

Learning Deep Features for kNN-Based Human Activity Recognition. - Sadiq Sani; Nirmalie Wiratunga; Stewart Massie (ICCBR (Workshops), 2017)

kNN Sampling for Personalised Human Activity Recognition. - Sadiq Sani; Nirmalie Wiratunga; Stewart Massie; Kay Cooper (ICCBR, 2017)

Designing a Personalised Case-Based Recommender System for Mobile Self-Management of Diabetes During Exercise. - Yoke Yie Chen; Nirmalie Wiratunga; Stewart Massie; Jenny Hall; Kate Stephen; Amanda Croall; Jacky MacMillan; Lesley Murray; Geoff Wilcock; Sandra MacRury (KDH@IJCAI, 2017)

Learning Deep and Shallow Features for Human Activity Recognition. - Sadiq Sani; Stewart Massie; Nirmalie Wiratunga; Kay Cooper (KSEM, 2017)

Neural Induction of a Lexicon for Fast and Interpretable Stance Classification. - Jérémie Clos; Nirmalie Wiratunga (LDK, 2017)

Effective Dependency Rule-based Aspect Extraction for Social Recommender Systems. - Yoke Yie Chen; Nirmalie Wiratunga; Robert Lothian (PACIS, 2017)

Lexicon Generation for Emotion Detection from Text. - Anil Bandhakavi; Nirmalie Wiratunga; Stewart Massie; Deepak Padmanabhan 001 (IEEE Intell. Syst., 2017)

Lexicon based feature extraction for emotion text classification. - Anil Bandhakavi; Nirmalie Wiratunga; Deepak Padmanabhan 001; Stewart Massie (Pattern Recognit. Lett., 2017)

Personalised Human Activity Recognition Using Matching Networks. - Sadiq Sani; Nirmalie Wiratunga; Stewart Massie; Kay Cooper (ICCBR, 2018)

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

Opinion Context Extraction for Aspect Sentiment Analysis. - Anil Bandhakavi; Nirmalie Wiratunga; Stewart Massie; Rushi Luhar (ICWSM, 2018)

Matching networks for personalised human activity recognition. - Sadiq Sani; Nirmalie Wiratunga; Stewart Massie; Kay Cooper (AIH@IJCAI, 2018)

Ontology Alignment Based on Word Embedding and Random Forest Classification. - Ikechukwu Nkisi-Orji; Nirmalie Wiratunga; Stewart Massie; Kit-Ying Hui; Rachel Heaven (ECML/PKDD (1), 2018)

Context Extraction for Aspect-Based Sentiment Analytics: Combining Syntactic, Lexical and Sentiment Knowledge. - Anil Bandhakavi; Nirmalie Wiratunga; Stewart Massie; Rushi Luhar (SGAI Conf., 2018)

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)

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

Evolving sensor systems. - Chrisina Jayne; Nirmalie Wiratunga (Evol. Syst., 2018)

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)

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)

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)

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

Clood CBR: Towards Microservices Oriented Case-Based Reasoning. - Ikechukwu Nkisi-Orji; Nirmalie Wiratunga; Chamath Palihawadana; Juan A. Recio-García; David Corsar (ICCBR, 2020)

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

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

Integrating selection-based aspect sentiment and preference knowledge for social recommender systems. - Yoke Yie Chen; Nirmalie Wiratunga; Robert Lothian (Online Inf. Rev., 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)

Autonomous CPSoS for Cognitive Large Manufacturing Industries. - María José Santofimia Romero; Felix Jesús Villanueva; Julián Caba; Jesús Fernández-Bermejo Ruiz; Xavier del Toro; Nirmalie Wiratunga; Juan R. Trapero; Ana Rubio 001; Claudio Salvadori; Juan Carlos López 001 (IECON, 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)

Emotion-aware polarity lexicons for Twitter sentiment analysis. - Anil Bandhakavi; Nirmalie Wiratunga; Stewart Massie; Deepak P 001 (Expert Syst. J. Knowl. Eng., 2021)

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

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)

MIRATAR: A Virtual Caregiver for Active and Healthy Ageing. - María J. Santofimia; Felix Jesús Villanueva; Javier Dorado 001; Ana Rubio 001; Jesús Fernández-Bermejo Ruiz; Henry Llumiguano; Xavier del Toro; Nirmalie Wiratunga; Juan Carlos López 001 (ICIAP Workshops (1), 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)

This Changes to That : Combining Causal and Non-Causal Explanations to Generate Disease Progression in Capsule Endoscopy. - Anuja Vats; Ahmed Kedir Mohammed; Marius Pedersen; Nirmalie Wiratunga (ICASSP, 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)

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)

Evaluation of Attention-Based LSTM and Bi-LSTM Networks For Abstract Text Classification in Systematic Literature Review Automation. - Regina Ofori-Boateng; Magaly Aceves-Martins; Chrisina Jayne; Nirmalie Wiratunga; Carlos Francisco Moreno-García (INNS DLIA@IJCNN, 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)

Enhancing Abstract Screening Classification in Evidence-Based Medicine: Incorporating Domain Knowledge into Pre-trained Models. - Regina Ofori-Boateng; Magaly Aceves-Martins; Nirmalie Wiratunga; Carlos Francisco Moreno-García (AIME (1), 2024)

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)

Intelligent Reuse of Explanation Experiences: The Role of Case-Based Reasoning in Promoting Best Practice in Explainable AI. - Nirmalie Wiratunga (IC3K, 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)

A Zero-Shot Monolingual Dual Stage Information Retrieval System for Spanish Biomedical Systematic Literature Reviews. - Regina Ofori-Boateng; Magaly Aceves-Martins; Nirmalie Wiratunga; Carlos Francisco Moreno-García (NAACL-HLT, 2024)

Dual-Task Dialogue Understanding. - Sibgha Anwar; Nirmalie Wiratunga; Mark Snaith (SICSA REALLM, 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)

Extended Results for Enhancing Abstract Screening Classification in Evidence-Based Medicine: Incorporating Domain Knowledge into Pre-trained Models. - Regina Ofori-Boateng; Magaly Aceves-Martins; Nirmalie Wiratunga; Carlos Francisco Moreno-García (SICSA REALLM, 2024)

Towards Improving Open-box Hallucination Detection in Large Language Models (LLMs). - Malavika Suresh; Rahaf Aljundi; Ikechukwu Nkisi-Orji; Nirmalie Wiratunga (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)

Enhancing systematic reviews: An in-depth analysis on the impact of active learning parameter combinations for biomedical abstract screening. - Regina Ofori-Boateng; Tamy Goretty Trujillo-Escobar; Magaly Aceves-Martins; Nirmalie Wiratunga; Carlos Francisco Moreno-García (Artif. Intell. Medicine, 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)

A Survey of AI-Powered Mini-Grid Solutions for a Sustainable Future in Rural Communities. - Craig Pirie; Harsha Kalutarage; Muhammad Shadi Hajar; Nirmalie Wiratunga; Subodha Charles; Geeth Sandaru Madhushan; Priyantha Buddhika; Supun Wijesiriwardana; Akila Dimantha; Kithdara Hansamal; Shalitha Pathiranage (CoRR, 2024)

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

Towards the automation of systematic reviews using natural language processing, machine learning, and deep learning: a comprehensive review. - Regina Ofori-Boateng; Magaly Aceves-Martins; Nirmalie Wiratunga; Carlos Francisco Moreno-García (Artif. Intell. Rev., 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)

Context Driven Multi-query Resolution Using LLM-RAG to Support the Revision of Explainability Needs. - Lasal Jayawardena; Anne Liret; Nirmalie Wiratunga; Ikechukwu Nkisi-Orji; Bruno Fleisch (ICCBR, 2025)

Agentic CBR in Action: Empowering Loan Approvals Through Interactive, Counterfactual Explanations. - Pedram Salimi; Nirmalie Wiratunga; David Corsar (ICCBR Workshops, 2025)