Kyle Martin

According to our database, Kyle Martin authored at least 26 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Clinical Dialogue Transcription Error Correction with Self-supervision.

Gayani Nanayakkara, Nirmalie Wiratunga, David Corsar, Kyle Martin, Anjana Wijekoon

Proceedings of the Artificial Intelligence XL, 2023

iSee: Intelligent Sharing of Explanation Experience by Users for Users.

Anjana Wijekoon, Nirmalie Wiratunga, Chamath Palihawadana, Ikechukwu Nkisi-Orji, David Corsar, Kyle Martin

Proceedings of the Companion Proceedings of the 28th International Conference on Intelligent User Interfaces, 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

Proceedings of the Case-Based Reasoning Research and Development, 2023

Machine Learning for Risk Stratification of Diabetic Foot Ulcers Using Biomarkers.

Kyle Martin, Ashish Upadhyay, Anjana Wijekoon, Nirmalie Wiratunga, Stewart Massie

Proceedings of the Computational Science - ICCS 2023, 2023

Evaluating a Pass/Fail Grading Model in First Year Undergraduate Computing.

Mark Zarb, Roger McDermott, Kyle Martin, Tiffany Young, Jess McGowan

Proceedings of the IEEE Frontiers in Education Conference, 2023

2022

Clinical Dialogue Transcription Error Correction using Seq2Seq Models.

Gayani Nanayakkara, Nirmalie Wiratunga, David Corsar, Kyle Martin, Anjana Wijekoon

CoRR, 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

Proceedings of the Case-Based Reasoning Research and Development, 2022

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, Preeja Pradeep, Anne Liret, Bruno Fleisch

Proceedings of the Workshop Proceedings of the 30th International Conferece on Case-Based Reasoning co-located with the 30th International Conference on Case-Based Reasoning (ICCBR 2022), 2022

2021

Evaluating Explainability Methods Intended for Multiple Stakeholders.

Kyle Martin, Anne Liret, Nirmalie Wiratunga, Gilbert Owusu, Mathias Kern

Künstliche Intell., 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, Adam Doupé, Yan Shoshitaishvili

Proceedings of the 28th Annual Network and Distributed System Security Symposium, 2021

DisCERN: Discovering Counterfactual Explanations using Relevance Features from Neighbourhoods.

Nirmalie Wiratunga, Anjana Wijekoon, Ikechukwu Nkisi-Orji, Kyle Martin, Chamath Palihawadana, David Corsar

Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

Actionable Feature Discovery in Counterfactuals using Feature Relevance Explainers.

Nirmalie Wiratunga, Anjana Wijekoon, Ikechukwu Nkisi-Orji, Kyle Martin, Chamath Palihawadana, David Corsar

Proceedings of the Workshops Proceedings for the 29th International Conference on Case-Based Reasoning co-located with the 29th International Conference on Case-Based Reasoning (ICCBR 2021), 2021

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

Locality Sensitive Batch Selection for Triplet Networks.

Kyle Martin, Nirmalie Wiratunga, Sadiq Sani

Proceedings of the 2020 International Joint Conference on Neural Networks, 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, Lesley Leishman, Nirmalie Wiratunga

Proceedings of the 5th International Workshop on Knowledge Discovery in Healthcare Data co-located with 24th European Conference on Artificial Intelligence, 2020

n-m-Variant Systems: Adversarial-Resistant Software Rejuvenation for Cloud-Based Web Applications.

Isaac Polinsky, Kyle Martin, William Enck, Michael K. Reiter

Proceedings of the CODASPY '20: Tenth ACM Conference on Data and Application Security and Privacy, 2020

2019

Developing a Catalogue of Explainability Methods to Support Expert and Non-expert Users.

Kyle Martin, Anne Liret, Nirmalie Wiratunga, Gilbert Owusu, Mathias Kern

Proceedings of the Artificial Intelligence XXXVI, 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, Rami Qahwaji, Ray Chaudhuri

Proceedings of the 4th International Workshop on Knowledge Discovery in Healthcare Data co-located with the 28th International Joint Conference on Artificial Intelligence, 2019

Human Activity Recognition with Deep Metric Learners.

Kyle Martin, Anjana Wijekoon, Nirmalie Wiratunga

Proceedings of the Workshops Proceedings for the Twenty-seventh International Conference on Case-Based Reasoning co-located with the Twenty-seventh International Conference on Case-Based Reasoning (ICCBR 2019), 2019

Workshop preface.

Kyle Martin, Stelios Kapetanakis, Anjana Wijekoon, Kareem Amin, Stewart Massie

Proceedings of the Workshops Proceedings for the Twenty-seventh International Conference on Case-Based Reasoning co-located with the Twenty-seventh International Conference on Case-Based Reasoning (ICCBR 2019), 2019

2018

Informed Pair Selection for Self-paced Metric Learning in Siamese Neural Networks.

Kyle Martin, Nirmalie Wiratunga, Stewart Massie, Jérémie Clos

Proceedings of the Artificial Intelligence XXXV, 2018

Risk Information Recommendation for Engineering Workers.

Kyle Martin, Anne Liret, Nirmalie Wiratunga, Gilbert Owusu, Mathias Kern

Proceedings of the Artificial Intelligence XXXV, 2018

GramError: A Quality Metric for Machine Generated Songs.

Craig Davies, Nirmalie Wiratunga, Kyle Martin

Proceedings of the Artificial Intelligence XXXV, 2018

2017

A Convolutional Siamese Network for Developing Similarity Knowledge in the SelfBACK Dataset.

Kyle Martin, Nirmalie Wiratunga, Sadiq Sani, Stewart Massie, Jérémie Clos

Proceedings of ICCBR 2017 Workshops (CAW, 2017

A Case-Based Real-Time Adaptive Engineer Site Support System.

Kyle Martin

Proceedings of ICCBR 2017 Workshops (CAW, 2017

2014

Preliminary results for neuroevolutionary optimization phase order generation for static compilation.

Gene I. Sher, Kyle Martin, Damian Dechev

Proceedings of the 11th Workshop on Optimizations for DSP and Embedded Systems, 2014