1 code implementation • 4 Apr 2024 • Nirmalie Wiratunga, Ramitha Abeyratne, Lasal Jayawardena, Kyle Martin, Stewart Massie, Ikechukwu Nkisi-Orji, Ruvan Weerasinghe, Anne Liret, Bruno Fleisch
Retrieval-Augmented Generation (RAG) enhances Large Language Model (LLM) output by providing prior knowledge as context to input.
1 code implementation • 3 Oct 2023 • Pedram Salimi, Nirmalie Wiratunga, David Corsar, Anjana Wijekoon
Counterfactual Explanations (cf-XAI) describe the smallest changes in feature values necessary to change an outcome from one class to another.
1 code implementation • 5 Dec 2022 • Anuja Vats, Ahmed Mohammed, Marius Pedersen, Nirmalie Wiratunga
Due to the unequivocal need for understanding the decision processes of deep learning networks, both modal-dependent and model-agnostic techniques have become very popular.
no code implementations • 11 Nov 2022 • Anjana Wijekoon, David Corsar, Nirmalie Wiratunga
Formalising the XAI system promotes the reuse of existing explainers and known explanation needs that can be refined and evolved over time using user evaluation feedback.
no code implementations • 26 May 2022 • Gayani Nanayakkara, Nirmalie Wiratunga, David Corsar, Kyle Martin, Anjana Wijekoon
This information contributes to medical decision-making regarding the patient and plays a crucial role in their healthcare journey.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +2
1 code implementation • Neurocomputing 2021 • Chamath Palihawadana, Nirmalie Wiratunga, Anjana Wijekoon, Harsha Kalutarage
Effective aggregation of client models is essential to create a generalised global model.
no code implementations • 13 Sep 2021 • Nirmalie Wiratunga, Anjana Wijekoon, Ikechukwu Nkisi-Orji, Kyle Martin, Chamath Palihawadana, David Corsar
For this purpose a counterfactual explainer needs to discover input dependencies that relate to outcome changes.
1 code implementation • International Conference on Case-Based Reasoning 2020 • Ikechukwu Nkisi-Orji, Nirmalie Wiratunga, Chamath Palihawadana, Juan A. Recio-García, David Corsar
CBR applications have been deployed in a wide range of sectors, from pharmaceuticals; to defence and aerospace to IoT and transportation, to poetry and music generation; for example.
no code implementations • 12 Jun 2020 • Anjana Wijekoon, Nirmalie Wiratunga
We present a meta-learning methodology for learning to learn personalised HAR models for HAR; with the expectation that the end-user need only provides a few labelled data but can benefit from the rapid adaptation of a generic meta-model.
no code implementations • 29 Apr 2020 • Nirmalie Wiratunga, Kay Cooper, Anjana Wijekoon, Chamath Palihawadana, Vanessa Mendham, Ehud Reiter, Kyle Martin
For this reason, chatbots have recently been seen in healthcare delivering digital interventions through free text or choice selection.
1 code implementation • 13 Aug 2019 • Anjana Wijekoon, Nirmalie Wiratunga, Kay Cooper
In addition we visualise pressure mat data to explore the potential of the sensor to capture exercise performance quality.