Sam Nallaperuma

According to our database, Sam Nallaperuma authored at least 14 papers between 2021 and 2026.

Collaborative distances:

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

2026

CARE: Privacy-Compliant Agentic Reasoning with Evidence Discordance.

Haochen Liu, Weien Li, Rui Song, Zeyu Li, Chun Jason Xue, Xiao-Yang Liu, Sam Nallaperuma, Xue Liu, Ye Yuan

CoRR, April, 2026

2025

Graph Convolutional Neural Networks to Model the Brain for Insomnia.

Kevin Monteiro, Sam Nallaperuma Herzberg, Martina Mason, Steve Niederer

CoRR, July, 2025

Topology Architect: Graph Generative Intelligence for Scalable Optical Network Topology Design.

Akanksha Ahuja, Sam Nallaperuma Herzberg, Albert Rafel, Paul Wright, Andrew Lord, Seb J. Savory

Proceedings of the International Conference on Optical Network Design and Modeling, 2025

Decoding the Stressed Brain with Geometric Machine Learning.

Sonia Koszut, Sam Nallaperuma Herzberg, Pietro Lio

Proceedings of the Artificial Intelligence in Healthcare - Second International Conference, 2025

2024

CRIECNN: Ensemble convolutional neural network and advanced feature extraction methods for the precise forecasting of circRNA-RBP binding sites.

Dilan Lasantha, Sugandima Vidanagamachchi, Sam Nallaperuma

Comput. Biol. Medicine, 2024

Fast and Accurate DNN-Based Approach in Maximizing Ultra-Wideband Fiber-Optic Systems Throughput.

Zelin Gan, Mykyta S. Klymenko, Sam Nallaperuma Herzberg, Seb J. Savory

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2024

Topology-Driven Edge Predictions with Graph Machine Learning for Optical Network Growth.

Akanksha Ahuja, Sam Nallaperuma Herzberg, Albert Rafel, Paul Wright, Andrew Lord, Seb J. Savory

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2024

2023

Deep learning and ensemble deep learning for circRNA-RBP interaction prediction in the last decade: A review.

Dilan Lasantha, Sugandima Vidanagamachchi, Sam Nallaperuma

Eng. Appl. Artif. Intell., 2023

2022

Techniques for applying reinforcement learning to routing and wavelength assignment problems in optical fiber communication networks.

Josh W. Nevin, Sam Nallaperuma, Nikita A. Shevchenko, Zacharaya Shabka, Georgios Zervas, Seb J. Savory

JOCN, 2022

Interpreting multi-objective reinforcement learning for routing and wavelength assignment in optical networks.

Sam Nallaperuma, Zelin Gan, Josh W. Nevin, Mykyta S. Klymenko, Seb J. Savory

JOCN, 2022

Gaussian Process-Driven History Matching for Physical Layer Parameter Estimation in Optical Fiber Communication Networks.

Josh W. Nevin, Sam Nallaperuma, Seb J. Savory

CoRR, 2022

2021

Ultra-Wideband Information Throughput Attained via Launch Power Allocation.

Nikita A. Shevchenko, Sam Nallaperuma, Seb J. Savory

Proceedings of the International Conference on Optical Network Design and Modeling, 2021

Parameter Optimisation for Ultra-Wideband Optical Networks in the Presence of Stimulated Raman Scattering Effect.

Sam Nallaperuma, Nikita A. Shevchenko, Seb J. Savory

Proceedings of the International Conference on Optical Network Design and Modeling, 2021

A Pareto-Optimality Based Multi-Objective Optimisation Approach to Assist Optical Network (Re-)Design Choices.

Sam Nallaperuma, Nikita A. Shevchenko, Seb J. Savory

Proceedings of the European Conference on Optical Communication, 2021