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Charini Nanayakkara
Charini Nanayakkara
Senior Research Officer at the Australian National University
Verified email at anu.edu.au
Title
Cited by
Cited by
Year
Robust temporal graph clustering for group record linkage
C Nanayakkara, P Christen, T Ranbaduge
Advances in Knowledge Discovery and Data Mining: 23rd Pacific-Asia …, 2019
152019
Evaluation measure for group-based record linkage
C Nanayakkara, P Christen, T Ranbaduge, E Garrett
The International Journal of Population Data Science (IJPDS) 4 (1), 2019
112019
Temporal graph-based clustering for historical record linkage
C Nanayakkara, P Christen, T Ranbaduge
Proceedings of the 14th International Workshop on Mining and Learning with …, 2018
62018
Active Learning Based Similarity Filtering for Efficient and Effective Record Linkage
C Nanayakkara, P Christen, T Ranbaduge
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 321-333, 2021
32021
Unsupervised Graph-based Entity Resolution for Accurate and Efficient Family Pedigree Search.
N Kirielle, C Nanayakkara, P Christen, C Dibben, L Williamson, E Garrett, ...
EDBT, 2:498-2:510, 2022
22022
An Anonymiser Tool for Sensitive Graph Data
C Nanayakkara, P Christen, T Ranbaduge
EYRE'20 workshop co-located with CIKM 2020 2699 (http://ceur-ws.org/Vol-2699 …, 2020
22020
Music emotion recognition with audio and lyrics features
C Nanayakkara, H Caldera
International Journal of Digital Information and Wireless Communications 6 …, 2016
22016
Locality Sensitive Hashing with Temporal and Spatial Constraints for Efficient Population Record Linkage
C Nanayakkara, P Christen
Proceedings of the 31st ACM International Conference on Information …, 2022
12022
Efficient population record linkage with temporal and spatial constraints
C Nanayakkara, P Christen
International Journal of Population Data Science (IJPDS) 7 (3), 2022
2022
Effective Record Linkage Techniques for Complex Population Data
C Nanayakkara
PQDT-Global, 2022
2022
Prediction of Emotion Stimulated by Music
CV Nanayakkara
2016
Identification of Musically Induced Emotion: A Machine Learning Based Approach
CV Nanayakkara, HA Caldera
Feature Engineering in Hybrid Recommender Systems, 44, 0
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Articles 1–12