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Kyle Martin
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2020 – today
- 2024
- [j2]Marta Caro-Martínez
, Juan A. Recio-García
iSee: A case-based reasoning platform for the design of explanation experiences. Knowl. Based Syst. 302: 112305 (2024) - [c27]Anjana Wijekoon, Nirmalie Wiratunga, David Corsar, Kyle Martin, Ikechukwu Nkisi-Orji, Chamath Palihawadana, Marta Caro-Martínez, Belén Díaz-Agudo, Derek G. Bridge, Anne Liret:
iSee: Advancing Multi-Shot Explainable AI Using Case-Based Recommendations. ECAI 2024: 4626-4633 - [c26]Nirmalie Wiratunga
CBR-RAG: Case-Based Reasoning for Retrieval Augmented Generation in LLMs for Legal Question Answering. ICCBR 2024: 445-460 - [c25]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, Derek G. Bridge, Preeja Pradeep, Bruno Fleisch:
Building Personalised XAI Experiences Through iSee: a Case-Based Reasoning-Driven Platform. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2024: 313-320 - [i8]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 abs/2404.04302 (2024) - [i7]Anjana Wijekoon, David Corsar, Nirmalie Wiratunga, Kyle Martin, Pedram Salimi:
Tell me more: Intent Fulfilment Framework for Enhancing User Experiences in Conversational XAI. CoRR abs/2405.10446 (2024) - [i6]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 abs/2407.10662 (2024) - [i5]Anjana Wijekoon, Nirmalie Wiratunga, David Corsar, Kyle Martin, Ikechukwu Nkisi-Orji, Chamath Palihawadana, Marta Caro-Martínez, Belén Díaz-Agudo, Derek G. Bridge, Anne Liret:
iSee: Advancing Multi-Shot Explainable AI Using Case-based Recommendations. CoRR abs/2408.12941 (2024) - 2023
- [c24]Mark Zarb, Roger McDermott, Kyle Martin, Tiffany Young
Evaluating a Pass/Fail Grading Model in First Year Undergraduate Computing. FIE 2023: 1-9 - [c23]Kyle Martin
Machine Learning for Risk Stratification of Diabetic Foot Ulcers Using Biomarkers. ICCS (3) 2023: 153-161 - [c22]Anjana Wijekoon, Nirmalie Wiratunga, Kyle Martin, David Corsar, Ikechukwu Nkisi-Orji, Chamath Palihawadana
CBR Driven Interactive Explainable AI. ICCBR 2023: 169-184 - [c21]Anjana Wijekoon
iSee: Intelligent Sharing of Explanation Experience by Users for Users. IUI Companion 2023: 79-82 - [c20]Gayani Nanayakkara, Nirmalie Wiratunga, David Corsar, Kyle Martin, Anjana Wijekoon:
Clinical Dialogue Transcription Error Correction with Self-supervision. SGAI Conf. 2023: 33-46 - 2022
- [c19]Anjana Wijekoon, Nirmalie Wiratunga, Ikechukwu Nkisi-Orji, Chamath Palihawadana
How Close Is Too Close? The Role of Feature Attributions in Discovering Counterfactual Explanations. ICCBR 2022: 33-47 - [c18]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: 231-232 - [i4]Gayani Nanayakkara
Clinical Dialogue Transcription Error Correction using Seq2Seq Models. CoRR abs/2205.13572 (2022) - 2021
- [b1]Kyle Martin:
Similarity and explanation for dynamic telecommunication engineer support. Robert Gordon University, UK, 2021 - [j1]Kyle Martin
Evaluating Explainability Methods Intended for Multiple Stakeholders. Künstliche Intell. 35(3): 397-411 (2021) - [c17]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: 63-74 - [c16]Nirmalie Wiratunga, Anjana Wijekoon, Ikechukwu Nkisi-Orji, Kyle Martin, Chamath Palihawadana
DisCERN: Discovering Counterfactual Explanations using Relevance Features from Neighbourhoods. ICTAI 2021: 1466-1473 - [c15]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 - [c14]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: 1-8 - [e2]Kyle Martin, Nirmalie Wiratunga, Anjana Wijekoon:
Proceedings of the SICSA eXplainable Artifical Intelligence Workshop 2021, Aberdeen, United Kingdom, June 1st, 2021. CEUR Workshop Proceedings 2894, CEUR-WS.org 2021 [contents] - [i3]Nirmalie Wiratunga, Anjana Wijekoon, Ikechukwu Nkisi-Orji, Kyle Martin, Chamath Palihawadana, David Corsar:
DisCERN: Discovering Counterfactual Explanations using Relevance Features from Neighbourhoods. CoRR abs/2109.05800 (2021) - 2020
- [c13]Isaac Polinsky
n-m-Variant Systems: Adversarial-Resistant Software Rejuvenation for Cloud-Based Web Applications. CODASPY 2020: 235-246 - [c12]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: 63-70 - [c11]Kyle Martin, Nirmalie Wiratunga, Sadiq Sani:
Locality Sensitive Batch Selection for Triplet Networks. IJCNN 2020: 1-8 - [i2]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 abs/2004.14067 (2020)
2010 – 2019
- 2019
- [c10]Kyle Martin, Stelios Kapetanakis, Anjana Wijekoon, Kareem Amin, Stewart Massie:
Workshop preface. ICCBR Workshops 2019: 6-7 - [c9]Kyle Martin, Anjana Wijekoon, Nirmalie Wiratunga:
Human Activity Recognition with Deep Metric Learners. ICCBR Workshops 2019: 8-17 - [c8]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. KDH@IJCAI 2019: 60-67 - [c7]Kyle Martin
Developing a Catalogue of Explainability Methods to Support Expert and Non-expert Users. SGAI Conf. 2019: 309-324 - [i1]Isaac Polinsky, Kyle Martin, William Enck, Michael K. Reiter:
n-m-Variant Systems: Adversarial-Resistant Software Rejuvenation for Cloud-Based Web Applications. CoRR abs/1910.08648 (2019) - 2018
- [c6]Kyle Martin
Informed Pair Selection for Self-paced Metric Learning in Siamese Neural Networks. SGAI Conf. 2018: 34-49 - [c5]Craig Davies, Nirmalie Wiratunga
GramError: A Quality Metric for Machine Generated Songs. SGAI Conf. 2018: 184-190 - [c4]Kyle Martin
Risk Information Recommendation for Engineering Workers. SGAI Conf. 2018: 311-325 - [e1]Kyle Martin, Nirmalie Wiratunga, Leslie S. Smith:
Proceedings of the SICSA Workshop on Reasoning, Learning and Explainability, Aberdeen, Scotland, UK, June 27, 2018. CEUR Workshop Proceedings 2151, CEUR-WS.org 2018 [contents] - 2017
- [c3]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: 85-94 - [c2]Kyle Martin:
A Case-Based Real-Time Adaptive Engineer Site Support System. ICCBR (Workshops) 2017: 184-188 - 2014
- [c1]Gene I. Sher, Kyle Martin, Damian Dechev
Preliminary results for neuroevolutionary optimization phase order generation for static compilation. ODES@CGO 2014: 33-40
Coauthor Index
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last updated on 2024-10-28 20:12 CET by the dblp team
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