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Pavithra Rajendran

Contextual stance classification of opinions: A step towards enthymeme reconstruction in online reviews
2016 · Pavithra Rajendran, Danushka Bollegala, et al. · Workshop on Argument Mining (ArgMining) · 27
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Real-world learnings for digital health industry–NHS collaboration: Life sciences vision in action
2024 · Rebecca Pope, Alexandros Zenonos, et al. · Future Healthcare Journal · 9
Embed Wisely: An Ensemble Approach to Predict ICD Coding
2021 · Pavithra Rajendran, Alexandros Zenonos, et al. · Communications in computer and information science · 8
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Is Something Better than Nothing? Automatically Predicting Stance-based Arguments Using Deep Learning and Small Labelled Dataset
2018 · Pavithra Rajendran, Danushka Bollegala, et al. · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · 6
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Assessing Weight of Opinion by Aggregating Coalitions of Arguments
2016 · Rajendran Pavithra, Bollegala Danushka, et al. · Frontiers in artificial intelligence and applications · 4
Clinically-applicable prediction of hospital stay and patient similarity retrieval in paediatric cardiology using machine learning
2026 · Louise Rigny, Iona Biggart, et al. · Nature Communications · 1
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GIF: An Automated Genomic Information Finder to Extract Data from Reports
2024 · Pavithra Rajendran, Alexandros Zenonos, et al. · Frontiers in artificial intelligence and applications · 1
Aggregating and Analysing Opinions for Argument-based Relations
2019 · Rajendran, P · University of Liverpool · 1
Sentiment-Stance-Specificity (SSS) Dataset: Identifying Support-based Entailment among Opinions.
2018 · Pavithra Rajendran, Danushka Bollegala, et al. · Language Resources and Evaluation Conference (LREC) · 1
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SQC-Guard: A Statistical Quality Control Based Monitoring Framework for NLP Pipelines
2026 · Jaskaran Kawatra, Sanjana Rajamani, et al. · Lecture notes in computer science
Hallucination Neurons and Where to Find Them: An Investigation into the existence of Hallucination Neurons
2026 · Cavus, Huseyin, Sabu, Sebin, et al. · arXiv (Cornell University)
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xFract: An Agent-Driven Approach for Detecting Pathological Fractures in Paediatric Radiology Reports
2026 · Sebin Sabu, Ryan Howard, et al. · Lecture notes in computer science
A Semi-Automated Annotation Workflow for Paediatric Histopathology Reports Using Small Language Models
2026 · Vijayaraghavan, Avish, Kawatra, Jaskaran Singh, et al. · arXiv (Cornell University)
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128 Responsible AI: Standardising AI model training for safety and transparency using MLFlow
2026 · Jaskaran Kawatra, Sebin Sebu, et al. · BMJ Paediatrics Open
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139 Agentic AI for automated classification of paediatric radiology reports
2026 · Sebin Sebu, Nuwanthi Yapa Mahathanthila, et al. · BMJ Paediatrics Open
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122 Predicting progression of paediatric Chronic Kidney Disease using Machine Learning
2026 · Aliea Mahmood, Mandy Wan, et al. · BMJ Paediatrics Open
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58 How trustworthy are clinically trained Small Language Models for extracting genomic information from reports?
2026 · Sebin Sebu, Nick James, et al. · BMJ Paediatrics Open
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141 Multimodal AI framework: End-to-end diagnostic pipeline enhanced with retrieval augmented generation
2026 · Cato Pauling, Jaskaran Kawatra, et al. · BMJ Paediatrics Open
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Context Beyond Simple Rules: Deploying an Automated NLP-Based Pipeline for Sentiment and Theme Prediction in Paediatric Healthcare Setting
2025 · Caroline Baumgartner, Ewart Jonny Sheldon, et al. · Frontiers in artificial intelligence and applications
96 Context beyond simple rules: enhancing the natural language processing pipeline for sentiment and theme prediction in family and friends test feedback
2025 · Caroline Baumgartner, Sebin Sabu, et al. · BMJ Paediatrics Open
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98 Minimal data, maximum impact: operationalising an artificial intelligence-based report retrieval in paediatric care using small language models
2025 · Jaskaran Singh Kawatra, Sebin Sabu, et al. · BMJ Paediatrics Open
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97 Generate-then-classify: can large language models generate better summaries of radiology reports for automated report classification?
2025 · Sebin Sabu, Caroline Baumgartner, et al. · BMJ Paediatrics Open
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99 GRID – DRE’s digital space for building artificial intelligence models and pipelines
2025 · Pavithra Rajendran, Shiren Patel, et al. · BMJ Paediatrics Open
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95 Proof of concept for an AI-powered pipeline in paediatric radiology
2025 · Louise Rigny, Pavithra Rajendran, et al. · BMJ Paediatrics Open
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Proof of Concept for an AI-Powered Pipeline in Paediatric Radiology
2025 · Louise Rigny, Pavithra Rajendran, et al. · The Royal College of Radiologists Open
Works count: 27
Citation count: 58
H-index: 4
I10-index: 1
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