Nirmalie Wiratunga
Nirmalie Wiratunga
Professor of Computer Science, Robert Gordon University
Verified email at - Homepage
Cited by
Cited by
Learning adaptation knowledge to improve case-based reasoning
S Craw, N Wiratunga, RC Rowe
Artificial intelligence 170 (16-17), 1175-1192, 2006
Lexicon based feature extraction for emotion text classification
A Bandhakavi, N Wiratunga, D Padmanabhan, S Massie
Pattern recognition letters 93, 133-142, 2017
Contextual sentiment analysis for social media genres
A Muhammad, N Wiratunga, R Lothian
Knowledge-based systems 108, 92-101, 2016
Lexicon generation for emotion detection from text
A Bandhakavi, N Wiratunga, S Massie, D Padmanabhan
IEEE intelligent systems 32 (1), 102-108, 2017
Effectiveness of app-delivered, tailored self-management support for adults with lower Back pain–related disability: a selfBACK randomized clinical trial
LF Sandal, K Bach, CK Øverås, MJ Svendsen, T Dalager, JSD Jensen, ...
JAMA internal medicine 181 (10), 1288-1296, 2021
Feature selection and generalisation for retrieval of textual cases
N Wiratunga, I Koychev, S Massie
European Conference on Case-Based Reasoning, 806-820, 2004
Using artificial intelligence methods for systematic review in health sciences: A systematic review
A Blaizot, SK Veettil, P Saidoung, CF Moreno‐Garcia, N Wiratunga, ...
Research Synthesis Methods 13 (3), 353-362, 2022
Case-based design for tablet formulation
S Craw, N Wiratunga, R Rowe
Advances in Case-Based Reasoning: 4th European Workshop, EWCBR-98 Dublin …, 1998
Extending jCOLIBRI for textual CBR
JA Recio, B Díaz-Agudo, MA Gómez-Martín, N Wiratunga
International Conference on Case-Based Reasoning, 421-435, 2005
Case-based reasoning research and development
N Wiratunga, A Ram
Springer Berlin Heidelberg, 2011
Integrating case-based reasoning with an electronic patient record system
M Van den Branden, N Wiratunga, D Burton, S Craw
Artificial Intelligence in Medicine 51 (2), 117-123, 2011
Supervised Latent Semantic Indexing Using Adaptive Sprinkling.
S Chakraborti, R Mukras, R Lothian, N Wiratunga, SNK Watt, DJ Harper
IJCAI 7, 1582-1587, 2007
Learning deep features for kNN-based human activity recognition.
S Sani, N Wiratunga, S Massie
CEUR Workshop Proceedings, 2017
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
Learning deep and shallow features for human activity recognition
S Sani, S Massie, N Wiratunga, K Cooper
International conference on knowledge science, engineering and management …, 2017
Learning to adapt for case-based design
N Wiratunga, S Craw, R Rowe
European Conference on Case-Based Reasoning, 421-435, 2002
When similar problems don’t have similar solutions
S Massie, S Craw, N Wiratunga
Case-Based Reasoning Research and Development: 7th International Conference …, 2007
Information gain feature selection for ordinal text classification using probability re-distribution
R Mukras, N Wiratunga, R Lothian, S Chakraborti, D Harper
Proceedings of the Textlink workshop at IJCAI 7, 16, 2007
kNN sampling for personalised human activity recognition
S Sani, N Wiratunga, S Massie, K Cooper
Case-Based Reasoning Research and Development: 25th International Conference …, 2017
From anomaly reports to cases
S Massie, N Wiratunga, S Craw, A Donati, E Vicari
Case-Based Reasoning Research and Development: 7th International Conference …, 2007
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