Kyle Martin
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
29
Venues
12
Active years
2014–2026
Best venue rank
A*
Where they publish
Papers
29 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ICCBR | Explaining AlignLLM: Case Alignment in LLM-as-a-Judge Systems. | Ramitha Abeyratne, Nirmalie Wiratunga, Kyle Martin, Ikechukwu Nkisi-Orji |
| 2026 | ICCBR | Top-Down Hyperbolic Case Retrieval for Few-Shot Hierarchical Ordinal Text Classification. | Vihanga Ashinsana Wijayasekara, Kyle Martin, Nirmalie Wiratunga |
| 2025 | AIED | Towards Ordinal Few-Shot Learning for Automated Essay Grading. | Vihanga Ashinsana Wijayasekara, Kyle Martin, Nirmalie Wiratunga |
| 2025 | ECAI | Few-Shot Essay Grading: Weighted Prototypical Networks for Ordinal Text Classification. | Vihanga Ashinsana Wijayasekara, Kyle Martin, Nirmalie Wiratunga, Stewart Massie, Anjana Wijekoon |
| 2025 | ICCBR | AlignLLM: Alignment-Based Evaluation Using Ensemble of LLMs-as-Judges for Q&A. | Ramitha Abeyratne, Nirmalie Wiratunga, Kyle Martin, Ikechukwu Nkisi-Orji, Lasal Jayawardena |
| 2024 | ECAI | 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-Martnez, Beln Daz-Agudo, Derek G. Bridge, Anne Liret |
| 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 |
| 2023 | FIE | Evaluating a Pass/Fail Grading Model in First Year Undergraduate Computing. | Mark Zarb, Roger McDermott, Kyle Martin, Tiffany Young, Jess McGowan |
| 2023 | ICCBR | CBR Driven Interactive Explainable AI. | Anjana Wijekoon, Nirmalie Wiratunga, Kyle Martin, David Corsar, Ikechukwu Nkisi-Orji, Chamath Palihawadana, Derek G. Bridge, Preeja Pradeep, Beln Daz-Agudo, Marta Caro-Martnez |
| 2023 | ICCS | Machine Learning for Risk Stratification of Diabetic Foot Ulcers Using Biomarkers. | Kyle Martin, Ashish Upadhyay, Anjana Wijekoon, Nirmalie Wiratunga, Stewart Massie |
| 2023 | IUI | iSee: Intelligent Sharing of Explanation Experience by Users for Users. | Anjana Wijekoon, Nirmalie Wiratunga, Chamath Palihawadana, Ikechukwu Nkisi-Orji, David Corsar, Kyle Martin |
| 2023 | SGAI | Clinical Dialogue Transcription Error Correction with Self-supervision. | Gayani Nanayakkara, Nirmalie Wiratunga, David Corsar, Kyle Martin, Anjana Wijekoon |
| 2022 | ICCBR | iSee: Intelligent Sharing of Explanation Experiences. | Kyle Martin, Anjana Wijekoon, Nirmalie Wiratunga, Chamath Palihawadana, Ikechukwu Nkisi-Orji, David Corsar, Beln Daz-Agudo, Juan A. Recio-Garca, Marta Caro-Martnez, Derek Bridge, Preeja Pradeep, Anne Liret, Bruno Fleisch |
| 2022 | ICCBR | 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 |
| 2021 | ICCBR | Actionable Feature Discovery in Counterfactuals using Feature Relevance Explainers. | Nirmalie Wiratunga, Anjana Wijekoon, Ikechukwu Nkisi-Orji, Kyle Martin, Chamath Palihawadana, David Corsar |
| 2021 | ICTAI | DisCERN: Discovering Counterfactual Explanations using Relevance Features from Neighbourhoods. | Nirmalie Wiratunga, Anjana Wijekoon, Ikechukwu Nkisi-Orji, Kyle Martin, Chamath Palihawadana, David Corsar |
| 2021 | NDSS | 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, Adam Doup, Yan Shoshitaishvili |
| 2020 | ECAI | Assessing the Clinicians' Pathway to Embed Artificial Intelligence for Assisted Diagnostics of Fracture Detection. | Carlos Francisco Moreno-Garca, Truong Dang, Kyle Martin, Manish Patel, Andrew Thompson, Lesley Leishman, Nirmalie Wiratunga |
| 2020 | IJCNN | Locality Sensitive Batch Selection for Triplet Networks. | Kyle Martin, Nirmalie Wiratunga, Sadiq Sani |
| 2019 | ICCBR | Workshop preface. | Kyle Martin, Stelios Kapetanakis, Anjana Wijekoon, Kareem Amin, Stewart Massie |
| 2019 | ICCBR | Human Activity Recognition with Deep Metric Learners. | Kyle Martin, Anjana Wijekoon, Nirmalie Wiratunga |
| 2019 | IJCAI | 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, Rami Qahwaji, Ray Chaudhuri |
| 2019 | SGAI | Developing a Catalogue of Explainability Methods to Support Expert and Non-expert Users. | Kyle Martin, Anne Liret, Nirmalie Wiratunga, Gilbert Owusu, Mathias Kern |
| 2018 | SGAI | GramError: A Quality Metric for Machine Generated Songs. | Craig Davies, Nirmalie Wiratunga, Kyle Martin |
| 2018 | SGAI | Risk Information Recommendation for Engineering Workers. | Kyle Martin, Anne Liret, Nirmalie Wiratunga, Gilbert Owusu, Mathias Kern |
| 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 Case-Based Real-Time Adaptive Engineer Site Support System. | Kyle Martin |
| 2017 | ICCBR | A Convolutional Siamese Network for Developing Similarity Knowledge in the SelfBACK Dataset. | Kyle Martin, Nirmalie Wiratunga, Sadiq Sani, Stewart Massie, Jrmie Clos |
| 2014 | CGO | Preliminary results for neuroevolutionary optimization phase order generation for static compilation. | Gene I. Sher, Kyle Martin, Damian Dechev |