2024
iSee: A case-based reasoning platform for the design of explanation experiences.
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Knowl. Based Syst., 2024
XEQ Scale for Evaluating XAI Experience Quality Grounded in Psychometric Theory.
CoRR, 2024
Tell me more: Intent Fulfilment Framework for Enhancing User Experiences in Conversational XAI.
CoRR, 2024
Building Personalised XAI Experiences Through iSee: a Case-Based Reasoning-Driven Platform.
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Proceedings of the Joint Proceedings of the xAI 2024 Late-breaking Work, 2024
SCaLe-QA: Sri lankan Case Law Embeddings for Legal QA.
Proceedings of the SICSA Workshop on Reasoning, 2024
CBR-RAG: Case-Based Reasoning for Retrieval Augmented Generation in LLMs for Legal Question Answering.
Proceedings of the Case-Based Reasoning Research and Development, 2024
iSee: Advancing Multi-Shot Explainable AI Using Case-Based Recommendations.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024
2023
Clinical Dialogue Transcription Error Correction with Self-supervision.
Proceedings of the Artificial Intelligence XL, 2023
iSee: Intelligent Sharing of Explanation Experience by Users for Users.
Proceedings of the Companion Proceedings of the 28th International Conference on Intelligent User Interfaces, 2023
CBR Driven Interactive Explainable AI.
Proceedings of the Case-Based Reasoning Research and Development, 2023
Machine Learning for Risk Stratification of Diabetic Foot Ulcers Using Biomarkers.
Proceedings of the Computational Science - ICCS 2023, 2023
Evaluating a Pass/Fail Grading Model in First Year Undergraduate Computing.
Proceedings of the IEEE Frontiers in Education Conference, 2023
2022
Clinical Dialogue Transcription Error Correction using Seq2Seq Models.
CoRR, 2022
How Close Is Too Close? The Role of Feature Attributions in Discovering Counterfactual Explanations.
Proceedings of the Case-Based Reasoning Research and Development, 2022
iSee: Intelligent Sharing of Explanation Experiences.
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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
Similarity and explanation for dynamic telecommunication engineer support
PhD thesis, 2021
Evaluating Explainability Methods Intended for Multiple Stakeholders.
Künstliche Intell., 2021
Counterfactual Explanations for Student Outcome Prediction with Moodle Footprints.
Proceedings of the SICSA eXplainable Artifical Intelligence Workshop 2021, 2021
Favocado: Fuzzing the Binding Code of JavaScript Engines Using Semantically Correct Test Cases.
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Proceedings of the 28th Annual Network and Distributed System Security Symposium, 2021
DisCERN: Discovering Counterfactual Explanations using Relevance Features from Neighbourhoods.
Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021
Actionable Feature Discovery in Counterfactuals using Feature Relevance Explainers.
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.
CoRR, 2020
Locality Sensitive Batch Selection for Triplet Networks.
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.
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.
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.
Proceedings of the Artificial Intelligence XXXVI, 2019
Learning to Self-Manage by Intelligent Monitoring, Prediction and Intervention.
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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.
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
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.
Proceedings of the Artificial Intelligence XXXV, 2018
Risk Information Recommendation for Engineering Workers.
Proceedings of the Artificial Intelligence XXXV, 2018
GramError: A Quality Metric for Machine Generated Songs.
Proceedings of the Artificial Intelligence XXXV, 2018
2017
A Convolutional Siamese Network for Developing Similarity Knowledge in the SelfBACK Dataset.
Proceedings of ICCBR 2017 Workshops (CAW, 2017
A Case-Based Real-Time Adaptive Engineer Site Support System.
Proceedings of ICCBR 2017 Workshops (CAW, 2017
2014
Preliminary results for neuroevolutionary optimization phase order generation for static compilation.
Proceedings of the 11th Workshop on Optimizations for DSP and Embedded Systems, 2014