Dulakshi Wannigamage - Google Scholar

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Citations	10	9
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Co-authors

Spike (Michael) BarlowUNSWVerified email at adfa.edu.au
Dr Kathryn KasmarikProfessor, Computer Science, University of New South WalesVerified email at adfa.edu.au
Erandi LakshikaUniversity of New South WalesVerified email at adfa.edu.au
K L Jayaratne, Lakshman JayaratneUniversity of Colombo School of ComputingVerified email at ucsc.cmb.ac.lk
Andrea Barraza-UrbinaNational University of Ireland GalwayVerified email at insight-centre.org

Dulakshi Wannigamage

Dulakshi Wannigamage

Postdoctoral Researcher, University of New South Wales

Verified email at unsw.edu.au

Machine Learning Data Science Time Series Forecasting Recommender Systems


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Weekly seasonal player population patterns in online games: A time series clustering approach D Vihanga, M Barlow, E Lakshika, K Kasmarik 2019 IEEE Conference on Games (CoG), 1-8, 2019	6	2019
Analysis and prediction of player population changes in digital games during the COVID-19 pandemic D Wannigamage, M Barlow, E Lakshika, K Kasmarik Australasian Joint Conference on Artificial Intelligence, 458-469, 2020	3	2020
Personalization of Recommendation Diversification WGD Vihanga, KL Jayaratne, A Barraza-Urbina International Conference on Computer Games, Multimedia & Allied Technology …, 2016	1	2016
Experience-based Personalized Diversification of Recommendations WG Vihanga, AB Urbina		2016
Enhancing Diversity of Recommendations by Experience-based Personalization WGD Vihanga, A Barraza-Urbina, KL Jayaratne

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