Dilini Sewwandi Rajapaksha

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Christoph BergmeirUniversity of GranadaE-mailová adresa ověřena na: monash.edu
Samantha ThelijjagodaSri Lanka Institute of Information TechnologyE-mailová adresa ověřena na: sliit.lk
Wray BuntineProfessor, VinUniversityE-mailová adresa ověřena na: vinuni.edu.vn
Anupiya Nugaliyadde (අනුපිය නුග...Norwood Systems, Murdoch UniversityE-mailová adresa ověřena na: murdoch.edu.au
John C. GrundyAustralian Laureate Fellow and Professor of Software Engineering, Faculty of IT, Monash UniversityE-mailová adresa ověřena na: monash.edu
Chakkrit (Kla) TantithamthavornSenior Lecturer (DECRA Fellow, JSPS Fellow), Faculty of Information Technology, MonashE-mailová adresa ověřena na: monash.edu
Jirayus JiarpakdeePhD Student, Faculty of Information and Technology, Monash UniversityE-mailová adresa ověřena na: monash.edu
Rob J HyndmanProfessor of Statistics, Monash UniversityE-mailová adresa ověřena na: monash.edu

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Dilini Sewwandi Rajapaksha

Data Scientist, Coles Group

E-mailová adresa ověřena na: coles.com.au

Data Science


Název Seřadit podle citací Seřadit podle roku Seřadit podle názvu	Citace Citace	Rok
Linguistic features based personality recognition using social media data D Sewwandi, K Perera, S Sandaruwan, O Lakchani, A Nugaliyadde, ... 2017 6th national conference on technology and management (nctm), 63-68, 2017	45	2017
SQAPlanner: Generating data-informed software quality improvement plans D Rajapaksha, C Tantithamthavorn, J Jiarpakdee, C Bergmeir, J Grundy, ... IEEE Transactions on Software Engineering 48 (8), 2814-2835, 2021	37	2021
LoRMIkA: Local rule-based model interpretability with K-optimal associations D Rajapaksha, C Bergmeir, W Buntine Information Sciences 540, 221-241, 2020	33	2020
Limref: Local interpretable model agnostic rule-based explanations for forecasting, with an application to electricity smart meter data D Rajapaksha, C Bergmeir Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 12098 …, 2022	15	2022
LoMEF: A framework to produce local explanations for global model time series forecasts D Rajapaksha, C Bergmeir, RJ Hyndman International Journal of Forecasting 39 (3), 1424-1447, 2023	11	2023
Local Model-Agnostic Explanations for Machine Learning and Time-Series Forecasting Models RHRD Sewwandi Monash University, 2022	2	2022
DevFlair: A Framework to Automate the Pre-screening Process of Software Engineering Job Candidates RTR Jayasekara, K Kudarachchi, K Kariyawasam, D Rajapaksha, ... 2022 4th International Conference on Advancements in Computing (ICAC), 288-293, 2022	1	2022
The Energy Prediction Smart-Meter Dataset: Analysis of Previous Competitions and Beyond D Pekaslan, JM Alonso-Moral, K Bandara, C Bergmeir, ... arXiv preprint arXiv:2311.04007, 2023		2023
Analysing Donors' Behaviour in Non-profit Organisations for Disaster Resilience: The 2019--2020 Australian Bushfires Case Study D Rajapaksha, K Sokol, J Chan, F Salim, M Prasad, M Samarawickrama arXiv preprint arXiv:2210.09034, 2022		2022
Local Model-gnostic Interpretability in Global Time-series Forecasting D Rajapaksha, C Bergmeir, RJ Hyndman 40th International Symposium of Forecasting, 2020		2020
Intelligent Personality Detection System Using Linguistic Features Based on Social Media Data D Sewwandi, OJ Mudiyanselage, K Perera, S Sandaruwan, ... Faculty of Graduate Studies, University of Kelaniya, Sri Lanka, 2016		2016

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