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ORCIDNirmalie Wiratunga
- > Home > Persons > Nirmalie Wiratunga
Publications
- 2023
[c101]Kyle Martin
, Ashish Upadhyay, Anjana Wijekoon, Nirmalie Wiratunga, Stewart Massie:
Machine Learning for Risk Stratification of Diabetic Foot Ulcers Using Biomarkers. ICCS (3) 2023: 153-161- [c100]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: 169-184 - [c96]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: 79-82 - [c95]Gayani Nanayakkara, Nirmalie Wiratunga, David Corsar, Kyle Martin, Anjana Wijekoon:
Clinical Dialogue Transcription Error Correction with Self-supervision. SGAI Conf. 2023: 33-46 - 2022
- [c94]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: 33-47 - [c92]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 - [i7]Gayani Nanayakkara, Nirmalie Wiratunga, David Corsar, Kyle Martin, Anjana Wijekoon:
Clinical Dialogue Transcription Error Correction using Seq2Seq Models. CoRR abs/2205.13572 (2022) - 2021
- [j12]Kyle Martin, Anne Liret, Nirmalie Wiratunga, Gilbert Owusu, Mathias Kern:
Evaluating Explainability Methods Intended for Multiple Stakeholders. Künstliche Intell. 35(3): 397-411 (2021) - [c89]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 - [c88]Nirmalie Wiratunga, Anjana Wijekoon, Ikechukwu Nkisi-Orji, Kyle Martin, Chamath Palihawadana, David Corsar:
DisCERN: Discovering Counterfactual Explanations using Relevance Features from Neighbourhoods. ICTAI 2021: 1466-1473 - [i4]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
- [c84]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 - [c80]Kyle Martin, Nirmalie Wiratunga, Sadiq Sani:
Locality Sensitive Batch Selection for Triplet Networks. IJCNN 2020: 1-8 - [i3]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) - 2019
- [c77]Kyle Martin, Anjana Wijekoon, Nirmalie Wiratunga:
Human Activity Recognition with Deep Metric Learners. ICCBR Workshops 2019: 8-17 - [c76]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 - [c75]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: 309-324 - 2018
- [c69]Kyle Martin, Nirmalie Wiratunga, Stewart Massie, Jérémie Clos:
Informed Pair Selection for Self-paced Metric Learning in Siamese Neural Networks. SGAI Conf. 2018: 34-49 - [c68]Craig Davies, Nirmalie Wiratunga, Kyle Martin:
GramError: A Quality Metric for Machine Generated Songs. SGAI Conf. 2018: 184-190 - [c67]Kyle Martin, Anne Liret, Nirmalie Wiratunga, Gilbert Owusu, Mathias Kern:
Risk Information Recommendation for Engineering Workers. SGAI Conf. 2018: 311-325 - [e5]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
- [c61]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
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