| 2025 | ECAI | Few-Shot Essay Grading: Weighted Prototypical Networks for Ordinal Text Classification. | Vihanga Ashinsana Wijayasekara, Kyle Martin, Nirmalie Wiratunga, Stewart Massie, Anjana Wijekoon |
| 2024 | ICCBR | 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 |
| 2024 | RTCSA | Optimising for Dense Deployments in Commercial Ambient Human Sensing with WiFi CSI. | Glenn Forbes, Stewart Massie |
| 2023 | ICCBR | CBR Assisted Context-Aware Surface Realisation for Data-to-Text Generation. | Ashish Upadhyay, Stewart Massie |
| 2023 | ICCS | Machine Learning for Risk Stratification of Diabetic Foot Ulcers Using Biomarkers. | Kyle Martin, Ashish Upadhyay, Anjana Wijekoon, Nirmalie Wiratunga, Stewart Massie |
| 2022 | COLING | Content Type Profiling of Data-to-Text Generation Datasets. | Ashish Upadhyay, Stewart Massie |
| 2022 | ICCBR | A Case-Based Approach for Content Planning in Data-to-Text Generation. | Ashish Upadhyay, Stewart Massie |
| 2021 | ICCBR | A Case-Based Approach to Data-to-Text Generation. | Ashish Upadhyay, Stewart Massie, Ritwik Kumar Singh, Garima Gupta, Muneendra Ojha |
| 2020 | CEC | WEC: Weighted Ensemble of Text Classifiers. | Ashish Upadhyay, Tien Thanh Nguyen, Stewart Massie, John A. W. McCall |
| 2020 | ICCBR | Case-Based Approach to Automated Natural Language Generation for Obituaries. | Ashish Upadhyay, Stewart Massie, Sean Clogher |
| 2020 | IJCNN | Representing Temporal Dependencies in Smart Home Activity Recognition for Health Monitoring. | Glenn Forbes, Stewart Massie, Susan Craw, Lucy Fraser, Graeme Hamilton |
| 2020 | ICTAI | WiFi-based Human Activity Recognition using Raspberry Pi. | Glenn Forbes, Stewart Massie, Susan Craw |
| 2019 | ICCBR | Representing Temporal Dependencies in Human Activity Recognition. | Glenn Forbes, Stewart Massie, Susan Craw, Lucy Fraser, Graeme Hamilton |
| 2019 | ICCBR | Workshop preface. | Kyle Martin, Stelios Kapetanakis, Anjana Wijekoon, Kareem Amin, Stewart Massie |
| 2018 | AAAI | An E-Learning Recommender That Helps Learners Find the Right Materials. | Blessing Mbipom, Stewart Massie, Susan Craw |
| 2018 | ICCBR | FITsense: Employing Multi-modal Sensors in Smart Homes to Predict Falls. | Stewart Massie, Glenn Forbes, Susan Craw, Lucy Fraser, Graeme Hamilton |
| 2018 | ICCBR | Personalised Human Activity Recognition Using Matching Networks. | Sadiq Sani, Nirmalie Wiratunga, Stewart Massie, Kay Cooper |
| 2018 | ICCBR | Improving kNN for Human Activity Recognition with Privileged Learning Using Translation Models. | Anjana Wijekoon, Nirmalie Wiratunga, Sadiq Sani, Stewart Massie, Kay Cooper |
| 2018 | IJCAI | Monitoring Health In Smart Homes Using Simple Sensors. | Stewart Massie, Glenn Forbes, Susan Craw, Lucy Fraser, Graeme Hamilton |
| 2018 | IJCAI | Matching networks for personalised human activity recognition. | Sadiq Sani, Nirmalie Wiratunga, Stewart Massie, Kay Cooper |
| 2018 | ICWSM | Opinion Context Extraction for Aspect Sentiment Analysis. | Anil Bandhakavi, Nirmalie Wiratunga, Stewart Massie, Rushi Luhar |
| 2018 | SGAI | Context Extraction for Aspect-Based Sentiment Analytics: Combining Syntactic, Lexical and Sentiment Knowledge. | Anil Bandhakavi, Nirmalie Wiratunga, Stewart Massie, Rushi Luhar |
| 2018 | SGAI | Informed Pair Selection for Self-paced Metric Learning in Siamese Neural Networks. | Kyle Martin, Nirmalie Wiratunga, Stewart Massie, Jrmie Clos |
| 2017 | ICCBR | A Convolutional Siamese Network for Developing Similarity Knowledge in the SelfBACK Dataset. | Kyle Martin, Nirmalie Wiratunga, Sadiq Sani, Stewart Massie, Jrmie Clos |
| 2017 | ICCBR | Learning Deep Features for kNN-Based Human Activity Recognition. | Sadiq Sani, Nirmalie Wiratunga, Stewart Massie |
| 2017 | ICCBR | kNN Sampling for Personalised Human Activity Recognition. | Sadiq Sani, Nirmalie Wiratunga, Stewart Massie, Kay Cooper |
| 2017 | IJCAI | 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 |
| 2017 | KSEM | Learning Deep and Shallow Features for Human Activity Recognition. | Sadiq Sani, Stewart Massie, Nirmalie Wiratunga, Kay Cooper |
| 2016 | SGAI | Emotion-Corpus Guided Lexicons for Sentiment Analysis on Twitter. | Anil Bandhakavi, Nirmalie Wiratunga, Stewart Massie, P. Deepak |
| 2016 | SGAI | Harnessing Background Knowledge for E-Learning Recommendation. | Blessing Mbipom, Susan Craw, Stewart Massie |
| 2016 | SGAI | SELFBACK - Activity Recognition for Self-management of Low Back Pain. | Sadiq Sani, Nirmalie Wiratunga, Stewart Massie, Kay Cooper |
| 2015 | ICCBR | Music Recommendation: Audio Neighbourhoods to Discover Music in the Long Tail. | Susan Craw, Ben Horsburgh, Stewart Massie |
| 2015 | IJCAI | Music Recommenders: User Evaluation Without Real Users? | Susan Craw, Ben Horsburgh, Stewart Massie |
| 2014 | ICCBR | Supervised Semantic Indexing Using Sub-spacing. | Sadiq Sani, Nirmalie Wiratunga, Stewart Massie, Robert Lothian |
| 2013 | ICCBR | A Multi-Objective Evolutionary Algorithm Fitness Function for Case-Base Maintenance. | Eduardo Lupiani, Susan Craw, Stewart Massie, Jos M. Jurez, Jos T. Palma |
| 2013 | ICCBR | Should Term-Relatedness Be Used in Text Representation? | Sadiq Sani, Nirmalie Wiratunga, Stewart Massie, Robert Lothian |
| 2013 | SGAI | Sentiment Classification Using Supervised Sub-Spacing. | Sadiq Sani, Nirmalie Wiratunga, Stewart Massie, Robert Lothian |
| 2012 | AAAI | Music-Inspired Texture Representation. | Ben Horsburgh, Susan Craw, Stewart Massie |
| 2012 | ICCBR | Event Extraction for Reasoning with Text. | Sadiq Sani, Nirmalie Wiratunga, Stewart Massie, Robert Lothian |
| 2011 | ICCBR | Term Similarity and Weighting Framework for Text Representation. | Sadiq Sani, Nirmalie Wiratunga, Stewart Massie, Robert Lothian |
| 2011 | IJCAI | Finding the Hidden Gems: Recommending Untagged Music. | Ben Horsburgh, Susan Craw, Stewart Massie, Robin Boswell |
| 2010 | CEC | Using a Markov network as a surrogate fitness function in a genetic algorithm. | Alexander E. I. Brownlee, Olivier Regnier-Coudert, John A. W. McCall, Stewart Massie |
| 2010 | ICCBR | Introspective Knowledge Revision in Textual Case-Based Reasoning. | Karthik Jayanthi, Sutanu Chakraborti, Stewart Massie |
| 2007 | AAAI | Informed Case Base Maintenance: A Complexity Profiling Approach. | Susan Craw, Stewart Massie, Nirmalie Wiratunga |
| 2007 | ICCBR | When Similar Problems Don't Have Similar Solutions. | Stewart Massie, Susan Craw, Nirmalie Wiratunga |
| 2007 | ICCBR | From Anomaly Reports to Cases. | Stewart Massie, Nirmalie Wiratunga, Susan Craw, Alessandro Donati, Emmanuel Vicari |
| 2005 | AAAI | Complexity-Guided Case Discovery for Case Based Reasoning. | Stewart Massie, Susan Craw, Nirmalie Wiratunga |
| 2004 | SGAI | A Visualisation Tool to Explain Case-Base Reasoning Solutions for Tablet Formulation. | Stewart Massie, Susan Craw, Nirmalie Wiratunga |
| 2003 | ICCBR | Index Driven Selective Sampling for CBR. | Nirmalie Wiratunga, Susan Craw, Stewart Massie |