Using Bezier Curves to Refine Road Vector Data through Satellite Images. - Maneesha Perera; Damith Karunaratne; Enosha Hettiarachchi (ICVIP, 2018)

Exploring Machine Learning Pipelines for Raman Spectral Classification of COVID-19 Samples. - Somrudee Deepaisarn; Chanvichet Vong; Maneesha Perera (KST, 2022)

Multi-resolution, multi-horizon distributed solar PV power forecasting with forecast combinations. - Maneesha Perera; Julian de Hoog; Kasun Bandara; Saman K. Halgamuge (Expert Syst. Appl., 2022)

Day-ahead regional solar power forecasting with hierarchical temporal convolutional neural networks using historical power generation and weather data. - Maneesha Perera; Julian de Hoog; Kasun Bandara; Damith A. Senanayake; Saman K. Halgamuge (CoRR, 2024)

Distributed solar generation forecasting using attention-based deep neural networks for cloud movement prediction. - Maneesha Perera; Julian de Hoog; Kasun Bandara; Saman K. Halgamuge (CoRR, 2024)

Rethinking Time Series Forecasting with LLMs via Nearest Neighbor Contrastive Learning. - Jayanie Bogahawatte; Sachith Seneviratne; Maneesha Perera; Saman K. Halgamuge (CoRR, 2024)

Crossing Linguistic Barriers: Authorship Attribution in Sinhala Texts. - Raheem Sarwar; Maneesha Perera; Pin Shen Teh; Raheel Nawaz; Muhammad Umair Hassan (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2024)

Insights into Artificial Intelligence Bias: Implications for Agriculture. - Mathuranathan Mayuravaani; Amirthalingam Ramanan; Maneesha Perera; Damith A. Senanayake; Rajith Vidanaarachchi (Digit. Soc., 2024)

Indigenous peoples and artificial intelligence: A systematic review and future directions. - Maneesha Perera; Rajith Vidanaarachchi; Sangeetha Chandrashekeran; Melissa Kennedy; Brendan Kennedy; Saman K. Halgamuge (Big Data Soc., 2025)