Nisal Ranasinghe

According to our database, Nisal Ranasinghe authored at least 6 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

FRAME-C: A knowledge-augmented deep learning pipeline for classifying multi-electrode array electrophysiological signals.

Nisal Ranasinghe, Dzung Do-Ha, Simon Maksour, Tamasha Malepathirana, Sachith Seneviratne, Lezanne Ooi, Saman K. Halgamuge

CoRR, May, 2025

Graph-Eq: Discovering Mathematical Equations using Graph Generative Models.

Nisal Ranasinghe, Damith A. Senanayake, Saman K. Halgamuge

CoRR, March, 2025

2024

GINN-KAN: Interpretability pipelining with applications in Physics Informed Neural Networks.

Nisal Ranasinghe, Yu Xia, Sachith Seneviratne, Saman K. Halgamuge

CoRR, 2024

GINN-LP: A Growing Interpretable Neural Network for Discovering Multivariate Laurent Polynomial Equations.

Nisal Ranasinghe, Damith A. Senanayake, Sachith Seneviratne, Malin Premaratne, Saman K. Halgamuge

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2022

Interpretability and accessibility of machine learning in selected food processing, agriculture and health applications.

Nisal Ranasinghe, A. Ramanan, S. Fernando, Pathima Nusrath Hameed, Damayanthi Herath, Tamasha Malepathirana, Ponnuthurai N. Suganthan, M. Niranjan, Saman K. Halgamuge

CoRR, 2022

2019

SMPTE ST 2110 Compliant Scalable Architecture on FPGA for end to end Uncompressed Professional Video Transport Over IP Networks.

Nisal Ranasinghe, Ravindu Bangamuarachchi, Jayath Seneviratne, Achini Jayawardane, Ajith Pasqual, R. M. A. U. Senarath

Proceedings of the 30th IEEE International Conference on Application-specific Systems, 2019