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Papers by Nirmalie Wiratunga

Research paper thumbnail of CBR-RAG: Case-Based Reasoning for Retrieval Augmented Generation in LLMs for Legal Question Answering

Lecture notes in computer science, 2024

Research paper thumbnail of The Impact of an Insulin/Carbohydrate Adjustment Algorithm App on Individual Blood Glucose Management During Planned Exercise

Research paper thumbnail of DisCERN:Discovering Counterfactual Explanations using Relevance Features from Neighbourhoods

Zenodo (CERN European Organization for Nuclear Research), Jan 11, 2022

Research paper thumbnail of Predicting Emotional Reaction in Social Networks

Lecture Notes in Computer Science, 2017

Research paper thumbnail of Learning deep features for kNN-based human activity recognition

Research paper thumbnail of Neural Induction of a Lexicon for Fast and Interpretable Stance Classification

Research paper thumbnail of How Close Is Too Close? The Role of Feature Attributions in Discovering Counterfactual Explanations

Research paper thumbnail of DisCERN for Code Vulnerability Detection and Correction

Zenodo (CERN European Organization for Nuclear Research), Feb 28, 2022

Research paper thumbnail of Enhancing Music Information Retrieval by Incorporating Image-Based Local Features

Research paper thumbnail of Machine Learning for Risk Stratification of Diabetic Foot Ulcers Using Biomarkers

Lecture Notes in Computer Science, 2023

Research paper thumbnail of This changes to that : Combining causal and non-causal explanations to generate disease progression in capsule endoscopy

arXiv (Cornell University), Dec 5, 2022

Research paper thumbnail of Clinical Dialogue Transcription Error Correction Using Seq2Seq Models

Springer eBooks, Nov 29, 2022

Research paper thumbnail of MSR1 Using Artificial Intelligence Methods for Systematic Review in Health Sciences: A Systematic Review

Value in Health, Jul 1, 2022

Research paper thumbnail of Using artificial intelligence methods for systematic review in health sciences: A systematic review

Research Synthesis Methods, 2022

The exponential increase in published articles makes a thorough and expedient review of literatur... more The exponential increase in published articles makes a thorough and expedient review of literature increasingly challenging. This review delineated automated tools and platforms that employ artificial intelligence (AI) approaches and evaluated the reported benefits and challenges in using such methods. A search was conducted in 4 databases (Medline, Embase, CDSR, and Epistemonikos) up to April 2021 for systematic reviews and other related reviews implementing AI methods. To be included, the review must use any form of AI method, including machine learning, deep learning, neural network, or any other applications used to enable the full or semi‐autonomous performance of one or more stages in the development of evidence synthesis. Twelve reviews were included, using nine different tools to implement 15 different AI methods. Eleven methods were used in the screening stages of the review (73%). The rest were divided: two in data extraction (13%) and two in risk of bias assessment (13%)....

Research paper thumbnail of This Changes to That : Combining Causal and Non-Causal Explanations to Generate Disease Progression in Capsule Endoscopy

ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Research paper thumbnail of Learning-to-Learn Personalised Human Activity Recognition Models

arXiv (Cornell University), Jun 12, 2020

Research paper thumbnail of A User-Centred Evaluation of DisCERN: Discovering Counterfactuals for Code Vulnerability Detection and Correction

Research paper thumbnail of Keynote Speech: Learning to Personalise Human Activity Recognition

Research paper thumbnail of Deliverables of Milestone 2 of iSee project

Zenodo (CERN European Organization for Nuclear Research), Dec 22, 2022

Research paper thumbnail of Behaviour Trees for Creating Conversational Explanation Experiences

arXiv (Cornell University), Nov 11, 2022

Research paper thumbnail of CBR-RAG: Case-Based Reasoning for Retrieval Augmented Generation in LLMs for Legal Question Answering

Lecture notes in computer science, 2024

Research paper thumbnail of The Impact of an Insulin/Carbohydrate Adjustment Algorithm App on Individual Blood Glucose Management During Planned Exercise

Research paper thumbnail of DisCERN:Discovering Counterfactual Explanations using Relevance Features from Neighbourhoods

Zenodo (CERN European Organization for Nuclear Research), Jan 11, 2022

Research paper thumbnail of Predicting Emotional Reaction in Social Networks

Lecture Notes in Computer Science, 2017

Research paper thumbnail of Learning deep features for kNN-based human activity recognition

Research paper thumbnail of Neural Induction of a Lexicon for Fast and Interpretable Stance Classification

Research paper thumbnail of How Close Is Too Close? The Role of Feature Attributions in Discovering Counterfactual Explanations

Research paper thumbnail of DisCERN for Code Vulnerability Detection and Correction

Zenodo (CERN European Organization for Nuclear Research), Feb 28, 2022

Research paper thumbnail of Enhancing Music Information Retrieval by Incorporating Image-Based Local Features

Research paper thumbnail of Machine Learning for Risk Stratification of Diabetic Foot Ulcers Using Biomarkers

Lecture Notes in Computer Science, 2023

Research paper thumbnail of This changes to that : Combining causal and non-causal explanations to generate disease progression in capsule endoscopy

arXiv (Cornell University), Dec 5, 2022

Research paper thumbnail of Clinical Dialogue Transcription Error Correction Using Seq2Seq Models

Springer eBooks, Nov 29, 2022

Research paper thumbnail of MSR1 Using Artificial Intelligence Methods for Systematic Review in Health Sciences: A Systematic Review

Value in Health, Jul 1, 2022

Research paper thumbnail of Using artificial intelligence methods for systematic review in health sciences: A systematic review

Research Synthesis Methods, 2022

The exponential increase in published articles makes a thorough and expedient review of literatur... more The exponential increase in published articles makes a thorough and expedient review of literature increasingly challenging. This review delineated automated tools and platforms that employ artificial intelligence (AI) approaches and evaluated the reported benefits and challenges in using such methods. A search was conducted in 4 databases (Medline, Embase, CDSR, and Epistemonikos) up to April 2021 for systematic reviews and other related reviews implementing AI methods. To be included, the review must use any form of AI method, including machine learning, deep learning, neural network, or any other applications used to enable the full or semi‐autonomous performance of one or more stages in the development of evidence synthesis. Twelve reviews were included, using nine different tools to implement 15 different AI methods. Eleven methods were used in the screening stages of the review (73%). The rest were divided: two in data extraction (13%) and two in risk of bias assessment (13%)....

Research paper thumbnail of This Changes to That : Combining Causal and Non-Causal Explanations to Generate Disease Progression in Capsule Endoscopy

ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Research paper thumbnail of Learning-to-Learn Personalised Human Activity Recognition Models

arXiv (Cornell University), Jun 12, 2020

Research paper thumbnail of A User-Centred Evaluation of DisCERN: Discovering Counterfactuals for Code Vulnerability Detection and Correction

Research paper thumbnail of Keynote Speech: Learning to Personalise Human Activity Recognition

Research paper thumbnail of Deliverables of Milestone 2 of iSee project

Zenodo (CERN European Organization for Nuclear Research), Dec 22, 2022

Research paper thumbnail of Behaviour Trees for Creating Conversational Explanation Experiences

arXiv (Cornell University), Nov 11, 2022

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