Kyle Martin

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 32

Top Topics

Feature Relevance

Error Correction

Top Venues

ICCBR Workshops

Publications

Anjana Wijekoon, Nirmalie Wiratunga, David Corsar, Kyle Martin, Ikechukwu Nkisi-Orji, Belén Díaz-Agudo, Derek G. Bridge
XEQ Scale for Evaluating XAI Experience Quality Grounded in Psychometric Theory. CoRR (2024)
Anjana Wijekoon, David Corsar, Nirmalie Wiratunga, Kyle Martin, Pedram Salimi
Tell me more: Intent Fulfilment Framework for Enhancing User Experiences in Conversational XAI. CoRR (2024)
Nirmalie Wiratunga, Ramitha Abeyratne, Lasal Jayawardena, Kyle Martin, Stewart Massie, Ikechukwu Nkisi-Orji, Ruvan Weerasinghe, Anne Liret, Bruno Fleisch
CBR-RAG: Case-Based Reasoning for Retrieval Augmented Generation in LLMs for Legal Question Answering. ICCBR (2024)
Nirmalie Wiratunga, Ramitha Abeyratne, Lasal Jayawardena, Kyle Martin, Stewart Massie, Ikechukwu Nkisi-Orji, Ruvan Weerasinghe, Anne Liret, Bruno Fleisch
CBR-RAG: Case-Based Reasoning for Retrieval Augmented Generation in LLMs for Legal Question Answering. CoRR (2024)
Gayani Nanayakkara, Nirmalie Wiratunga, David Corsar, Kyle Martin, Anjana Wijekoon
Clinical Dialogue Transcription Error Correction with Self-supervision. SGAI Conf. (2023)
Kyle Martin, Ashish Upadhyay, Anjana Wijekoon, Nirmalie Wiratunga, Stewart Massie
Machine Learning for Risk Stratification of Diabetic Foot Ulcers Using Biomarkers. ICCS (3) (2023)
Anjana Wijekoon, Nirmalie Wiratunga, Chamath Palihawadana, Ikechukwu Nkisi-Orji, David Corsar, Kyle Martin
iSee: Intelligent Sharing of Explanation Experience by Users for Users. IUI Companion (2023)
Anjana Wijekoon, Nirmalie Wiratunga, Kyle Martin, David Corsar, Ikechukwu Nkisi-Orji, Chamath Palihawadana, Derek G. Bridge, Preeja Pradeep, Belén Díaz-Agudo, Marta Caro-Martínez
CBR Driven Interactive Explainable AI. ICCBR (2023)
Mark Zarb, Roger McDermott, Kyle Martin, Tiffany Young, Jess McGowan
Evaluating a Pass/Fail Grading Model in First Year Undergraduate Computing. FIE (2023)
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, Preeja Pradeep, Anne Liret, Bruno Fleisch
iSee: Intelligent Sharing of Explanation Experiences. ICCBR Workshops (2022)
Gayani Nanayakkara, Nirmalie Wiratunga, David Corsar, Kyle Martin, Anjana Wijekoon
Clinical Dialogue Transcription Error Correction using Seq2Seq Models. CoRR (2022)
Anjana Wijekoon, Nirmalie Wiratunga, Ikechukwu Nkisi-Orji, Chamath Palihawadana, David Corsar, Kyle Martin
How Close Is Too Close? The Role of Feature Attributions in Discovering Counterfactual Explanations. ICCBR (2022)
Sung Ta Dinh, Haehyun Cho, Kyle Martin, Adam Oest, Kyle Zeng, Alexandros Kapravelos, Gail-Joon Ahn, Tiffany Bao, Ruoyu Wang, Adam Doupé, Yan Shoshitaishvili
Favocado: Fuzzing the Binding Code of JavaScript Engines Using Semantically Correct Test Cases. NDSS (2021)
Nirmalie Wiratunga, Anjana Wijekoon, Ikechukwu Nkisi-Orji, Kyle Martin, Chamath Palihawadana, David Corsar
DisCERN: Discovering Counterfactual Explanations using Relevance Features from Neighbourhoods. ICTAI (2021)
Nirmalie Wiratunga, Anjana Wijekoon, Ikechukwu Nkisi-Orji, Kyle Martin, Chamath Palihawadana, David Corsar
DisCERN: Discovering Counterfactual Explanations using Relevance Features from Neighbourhoods. CoRR (2021)
Kyle Martin, Anne Liret, Nirmalie Wiratunga, Gilbert Owusu, Mathias Kern
Evaluating Explainability Methods Intended for Multiple Stakeholders. Künstliche Intell. 35 (3) (2021)
Nirmalie Wiratunga, Anjana Wijekoon, Ikechukwu Nkisi-Orji, Kyle Martin, Chamath Palihawadana, David Corsar
Actionable Feature Discovery in Counterfactuals using Feature Relevance Explainers. ICCBR Workshops (2021)
Anjana Wijekoon, Nirmalie Wiratunga, Ikechukwu Nkisi-Orji, Kyle Martin, Chamath Palihawadana, David Corsar
Counterfactual Explanations for Student Outcome Prediction with Moodle Footprints. SICSA XAI (2021)
Isaac Polinsky, Kyle Martin, William Enck, Michael K. Reiter
n-m-Variant Systems: Adversarial-Resistant Software Rejuvenation for Cloud-Based Web Applications. CODASPY (2020)
Kyle Martin, Nirmalie Wiratunga, Sadiq Sani
Locality Sensitive Batch Selection for Triplet Networks. IJCNN (2020)
Carlos Francisco Moreno-García, Truong Dang, Kyle Martin, Manish Patel, Andrew Thompson, Lesley Leishman, Nirmalie Wiratunga
Assessing the Clinicians' Pathway to Embed Artificial Intelligence for Assisted Diagnostics of Fracture Detection. KDH@ECAI (2020)
Nirmalie Wiratunga, Kay Cooper, Anjana Wijekoon, Chamath Palihawadana, Vanessa Mendham, Ehud Reiter, Kyle Martin
FitChat: Conversational Artificial Intelligence Interventions for Encouraging Physical Activity in Older Adults. CoRR (2020)
Isaac Polinsky, Kyle Martin, William Enck, Michael K. Reiter
n-m-Variant Systems: Adversarial-Resistant Software Rejuvenation for Cloud-Based Web Applications. CoRR (2019)
Kyle Martin, Anne Liret, Nirmalie Wiratunga, Gilbert Owusu, Mathias Kern
Developing a Catalogue of Explainability Methods to Support Expert and Non-expert Users. SGAI Conf. (2019)
Kyle Martin, Anjana Wijekoon, Nirmalie Wiratunga
Human Activity Recognition with Deep Metric Learners. ICCBR Workshops (2019)
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
Learning to Self-Manage by Intelligent Monitoring, Prediction and Intervention. KHD@IJCAI (2019)
Kyle Martin, Stelios Kapetanakis, Anjana Wijekoon, Kareem Amin, Stewart Massie
Workshop preface. ICCBR Workshops (2019)
Craig Davies, Nirmalie Wiratunga, Kyle Martin
GramError: A Quality Metric for Machine Generated Songs. SGAI Conf. (2018)
Kyle Martin, Anne Liret, Nirmalie Wiratunga, Gilbert Owusu, Mathias Kern
Risk Information Recommendation for Engineering Workers. SGAI Conf. (2018)
Kyle Martin, Nirmalie Wiratunga, Stewart Massie, Jérémie Clos
Informed Pair Selection for Self-paced Metric Learning in Siamese Neural Networks. SGAI Conf. (2018)
Kyle Martin
A Case-Based Real-Time Adaptive Engineer Site Support System. ICCBR (Workshops) (2017)
Kyle Martin, Nirmalie Wiratunga, Sadiq Sani, Stewart Massie, Jérémie Clos
A Convolutional Siamese Network for Developing Similarity Knowledge in the SelfBACK Dataset. ICCBR (Workshops) (2017)
Gene I. Sher, Kyle Martin, Damian Dechev
Preliminary results for neuroevolutionary optimization phase order generation for static compilation. ODES@CGO (2014)