A Comparison of Model-based Reasoning and Learning Approaches to Power Transmission Fault Diagnosis. - Ramesh K. Rayudu; Sandhya Samarasinghe; Don Kulasiri (ANNES, 1995)

The use of artificial neural networks to diagnose mastitis in dairy cattle. - Mario G. López-Benavides; Sandhya Samarasinghe; Jonathan Hickford (IJCNN, 2003)

Robustness of G1/S checkpoint pathways in cell cycle regulation based on probability of DNA-damaged cells passing as healthy cells. - Hong Ling; Don Kulasiri; Sandhya Samarasinghe (Biosyst., 2010)

Robustness of circadian rhythms in the presence of molecular fluctuations: An investigation based on a mechanistic, statistical theory and a simulation algorithm. - Don Kulasiri; Y. He; Sandhya Samarasinghe (Biosyst., 2011)

Microarray gene expression: A study of between-platform association of Affymetrix and cDNA arrays. - Chintanu Kumar Sarmah; Sandhya Samarasinghe (Comput. Biol. Medicine, 2011)

Modelling Energy Use and Fuel Consumption in Wheat Production Using Indirect Factors and Artificial Neural Networks. - Majeed Safa; Sandhya Samarasinghe (ICONIP (2), 2012)

Computational experiments reveal the efficacy of targeting CDK2 and CKIs for significantly lowering cellular senescence bar for potential cancer treatment. - Hong Ling; Sandhya Samarasinghe; Don Kulasiri (Biosyst., 2013)

Novel recurrent neural network for modelling biological networks: Oscillatory p53 interaction dynamics. - Hong Ling; Sandhya Samarasinghe; Don Kulasiri (Biosyst., 2013)

Mixed-method integration and advances in fuzzy cognitive maps for computational policy simulations for natural hazard mitigation. - Sandhya Samarasinghe; Graham Strickert (Environ. Model. Softw., 2013)

Systems biology of synaptic plasticity: A review on N-methyl-d-aspartate receptor mediated biochemical pathways and related mathematical models. - Y. He; Don Kulasiri; Sandhya Samarasinghe (Biosyst., 2014)

The meiotic-mitotic initiation switch in budding yeast maintains its function robustly against sensitive parameter perturbations. - Champi Thusangi Wannige; Don Kulasiri; Sandhya Samarasinghe (Biosyst., 2014)

Ca2+ dysregulation in the endoplasmic reticulum related to Alzheimer's disease: A review on experimental progress and computational modeling. - Jingyi Liang; Don Kulasiri; Sandhya Samarasinghe (Biosyst., 2015)

Neural Networks for Robotic Detection of Mastitis in Dairy Cows: Netherlands and New Zealand Perspectives. - Sandhya Samarasinghe; Manishi Kohli; Don Kulasiri (IntelliSys (2), 2016)

A novel semi-quantitative Fuzzy Cognitive Map model for complex systems for addressing challenging participatory real life problems. - Mamoon Obiedat; Sandhya Samarasinghe (Appl. Soft Comput., 2016)

A system of recurrent neural networks for modularising, parameterising and dynamic analysis of cell signalling networks. - Sandhya Samarasinghe; Hong Ling (Biosyst., 2017)

A Computational Framework for Autonomous Self-repair Systems. - Tran Nguyen Minh-Thai; Jagannath Aryal; Sandhya Samarasinghe; Michael Levin 001 (Australasian Conference on Artificial Intelligence, 2018)

Improving Water Allocation Using Multi-agent Negotiation Mechanisms. - Kitti Chiewchan; Patricia Anthony; Birendra KC; Sandhya Samarasinghe (KES-AMSTA, 2019)

Using activity time windows and logical representation to reduce the complexity of biological network models: G1/S checkpoint pathway with DNA damage. - Mutaz Khazaaleh; Sandhya Samarasinghe (Biosyst., 2020)

Novel domain expansion methods to improve the computational efficiency of the Chemical Master Equation solution for large biological networks. - Rahul Kosarwal; Don Kulasiri; Sandhya Samarasinghe (BMC Bioinform., 2020)

A Novel Computational Approach for Biomarker Detection for Gene Expression-Based Computer-Aided Diagnostic Systems for Breast Cancer. - Ali Al-Yousef; Sandhya Samarasinghe (Artificial Neural Networks, 3rd Edition, 2021)

Improving Water Distribution in a Multi-Agent System Using Fixed Multiunit First-Price Sealed-Bid Auction. - Kitti Chiewchan; Patricia Anthony; Birendra KC; Sandhya Samarasinghe (KES-AMSTA, 2021)

A Comprehensive Conceptual and Computational Dynamics Framework for Autonomous Regeneration Systems. - Tran Nguyen Minh-Thai; Sandhya Samarasinghe; Michael Levin 001 (Artif. Life, 2021)

A new hierarchical approach to multi-level model abstraction for simplifying ODE models of biological networks and a case study: The G1/S Checkpoint/DNA damage signalling pathways of mammalian cell cycle. - Mutaz Khazaaleh; Sandhya Samarasinghe; Don Kulasiri (Biosyst., 2021)

Modelling Socio-ecological Systems: Implementation of an Advanced Fuzzy Cognitive Map Framework for Policy development for addressing complex real-life challenges. - Mamoon Obiedat; Sandhya Samarasinghe (CoRR, 2022)

Fundamental Boolean network modelling for childhood acute lymphoblastic leukaemia pathways. - Leshi Chen; Don Kulasiri; Sandhya Samarasinghe (Quant. Biol., 2022)

Collective computational intelligence in biology - Emergence of memory in somatic tissues. - Sandhya Samarasinghe (Biosyst., 2023)

Proteins as fuzzy controllers: Auto tuning a biological fuzzy inference system to predict protein dynamics in complex biological networks. - Mohammad Abdallah Alsharaiah; Sandhya Samarasinghe; Don Kulasiri (Biosyst., 2023)

On electrostatic interactions of adenosine triphosphate-insulin-degrading enzyme revealed by quantum mechanics/molecular mechanics and molecular dynamics. - Sarawoot Somin; Don Kulasiri; Sandhya Samarasinghe (Quant. Biol., 2024)