• Karunasingha, D.S.K., 2022. Root mean square error or mean absolute error? Use their ratio as well. Information Sciences, 585, pp.609-629.
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• Karunasingha, D.S.K. and Liong, S.Y. (2018). Enhancement of chaotic hydrological time series prediction with real-time noise reduction using Extended Kalman Filter. Journal of Hydrology, 565, pp.737-746.

• Karunasingha, D.S.K and Liong, S.Y. (2015). A simple clustering technique to extract subsets of data for function approximation. Journal of Hydroinformatics, 17(5), pp.719-732.

• Karunasingha, D.S.K., Chui, T.F.M., and Liong, S.Y. (2013). An approach for modeling the effects of changes in hydrological environmental variables on tropical primary forest vegetation. Journal of Hydrology, 505, pp.102-112.

• Karunasingha, D. S. K., Jayawardena, A. W. and Li, W.K. (2011). Evolutionary product unit based neural networks for hydrological time series analysis. Journal of Hydroinformatics, Vol. 13(4), pp 825–841.

• Karunasinghe, D.S.K. and Liong, S.Y. (2006). Chaotic time series prediction with a global model: Artificial Neural Network. Journal of Hydrology, 323, 92-105.

• Doan, C.D., Liong, S.Y., and Karunasinghe, D.S.K. (2005). Derivation of effective and efficient data set with subtractive clustering method and genetic algorithm. Journal of Hydroinformatics, 7(4), pp 219-233.

• Somarathne E.D.T., Karunasinghe, D.S.K., and Wijayakulasooriya, J.V. (2020) Short Term Electricity Demand Forecasting for Generation Scheduling: A Case Study in Sri Lanka. International Conference on Environmental and Medical Statistics 2020, Page 32 (Abstract).

• Jayawardena, A.W. and Karunasingha, D.S.K. (2011) Comparison of product unit neural networks with MLP and SVM type for hydrological prediction. Proceedings of the 4th ASCE- EWRI International Perspective on Water Resources & the Environment, Singapore, January 4-6, 2011. 10 pp (in CD ROM).

• Karunasingha, D.S.K., and Liong, S.Y. (2007). Enhancement of Chaotic Time Series Prediction with Real-Time Noise Reduction. International Conference on Small Hydropower – Hydro Sri Lanka, 22-24 October, Sri Lanka, pp. 95 – 100.

• Karunasingha, D.S.K. and Jayawardena, A.W. (2010). Transparent neural network models using product unit based neural networks. Proceedings of the Peradeniya University Research Sessions (PURSE), Sri Lanka, 2010.div>

• JLiong, S.Y., and Karunasingha, D.S.K. (2008). Performance analysis of prediction techniques for Sea Surface Anomaly. Proceedings of the Peradeniya University Research Sessions (PURSE), Sri Lanka, Vol. 13, 18th December 2008, pp. 200-201.