Ontology alignment based on word embedding and random forest classification I Nkisi-Orji, N Wiratunga, S Massie, KY Hui, R Heaven Machine Learning and Knowledge Discovery in Databases: European Conference …, 2019 | 46 | 2019 |
Discern: Discovering counterfactual explanations using relevance features from neighbourhoods N Wiratunga, A Wijekoon, I Nkisi-Orji, K Martin, C Palihawadana, ... 2021 IEEE 33rd International Conference on Tools with Artificial …, 2021 | 11 | 2021 |
Clood CBR: Towards Microservices Oriented Case-Based Reasoning I Nkisi-Orji, N Wiratunga, C Palihawadana, JA Recio-García, D Corsar International Conference on Case-Based Reasoning, 129-143, 2020 | 8 | 2020 |
Actionable feature discovery in counterfactuals using feature relevance explainers. N Wiratunga, A Wijekoon, I Nkisi-Orji, K Martin, C Palihawadana, ... CEUR Workshop Proceedings, 2021 | 6 | 2021 |
Adapting semantic similarity methods for case-based reasoning in the cloud I Nkisi-Orji, C Palihawadana, N Wiratunga, D Corsar, A Wijekoon International Conference on Case-Based Reasoning, 125-139, 2022 | 5 | 2022 |
CBR Driven Interactive Explainable AI A Wijekoon, N Wiratunga, K Martin, D Corsar, I Nkisi-Orji, ... International Conference on Case-Based Reasoning, 169-184, 2023 | 1 | 2023 |
Introducing Clood CBR: a cloud based CBR framework. C Palihawadana, I Nkisi-Orji, N Wiratunga, D Corsar, A Wijekoon CEUR Workshop Proceedings 3389, 2023 | 1 | 2023 |
How close is too close? The role of feature attributions in discovering counterfactual explanations A Wijekoon, N Wiratunga, I Nkisi-Orji, C Palihawadana, D Corsar, ... International Conference on Case-Based Reasoning, 33-47, 2022 | 1 | 2022 |
Counterfactual explanations for student outcome prediction with Moodle footprints. A Wijekoon, N Wiratunga, I Nkisi-Orji, K Martin, C Palihawadana, ... CEUR Workshop Proceedings, 2021 | 1 | 2021 |
Ontology driven information retrieval. I Nkisi-Orji | 1 | 2019 |
Semantic information retrieval for geoscience resources: results and analysis of an online questionnaire of current web search experiences I Nkisi-Orji British Geological Survey, 2016 | 1 | 2016 |
Geomagnetism data portal: a new service from the World Data Centre, Edinburgh E Dawson, I Nkisi-Orji, S Reay, S Macmillan British Geological Survey, 2013 | 1 | 2013 |
CBR-RAG: Case-Based Reasoning for Retrieval Augmented Generation in LLMs for Legal Question Answering N Wiratunga, R Abeyratne, L Jayawardena, K Martin, S Massie, ... arXiv preprint arXiv:2404.04302, 2024 | | 2024 |
CBR Driven Interactive Explainable AI I Nkisi-Orji, C Palihawadana, D Bridge, P Pradeep, BD Agudo, ... Case-Based Reasoning Research and Development: 31st International Conference …, 2023 | | 2023 |
Failure-Driven Transformational Case Reuse of Explanation Strategies in CloodCBR I Nkisi-Orji, C Palihawadana, N Wiratunga, A Wijekoon, D Corsar International Conference on Case-Based Reasoning, 279-293, 2023 | | 2023 |
iSee: intelligent sharing of explanation experiences. K Martin, A Wijekoon, N Wiratunga, C Palihawadana, I Nkisi-Orji, ... CEUR Workshop Proceedings 3389, 2023 | | 2023 |
Conceptual modelling of explanation experiences through the iSeeonto ontology. M Caro-Martínez, A Wijekoon, JA Recio-García, D Corsar, I Nkisi-Orji CEUR Workshop Proceedings 3389, 2023 | | 2023 |
iSee: demonstration video.[video recording] A Wijekoon, N Wiratunga, C Palihawadana, I Nkisi-Orji, D Corsar, ... Association for Computing Machinery (ACM), 2023 | | 2023 |
Case-Based Reasoning for the Explanation of Intelligent Systems JA Recio García, BD Agudo, A Wijekoon, D Aha, D Bridge, M Keane, ... Case-Based Reasoning for the Explanation of Intelligent Systems 3389, 104, 2022 | | 2022 |
Taxonomic corpus-based concept summary generation for document annotation I Nkisi-Orji, N Wiratunga, KY Hui, R Heaven, S Massie Research and Advanced Technology for Digital Libraries: 21st International …, 2017 | | 2017 |