Sandhya Samarasinghe
Orcid: 0000-0003-2943-4331
According to our database1,
Sandhya Samarasinghe
authored at least 26 papers
between 1995 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
Proteins as fuzzy controllers: Auto tuning a biological fuzzy inference system to predict protein dynamics in complex biological networks.
Biosyst., February, 2023
Collective computational intelligence in biology - Emergence of memory in somatic tissues.
Biosyst., January, 2023
2022
Fundamental Boolean network modelling for childhood acute lymphoblastic leukaemia pathways.
Quant. Biol., 2022
Modelling Socio-ecological Systems: Implementation of an Advanced Fuzzy Cognitive Map Framework for Policy development for addressing complex real-life challenges.
CoRR, 2022
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.
Biosyst., 2021
A Comprehensive Conceptual and Computational Dynamics Framework for Autonomous Regeneration Systems.
Artif. Life, 2021
Improving Water Distribution in a Multi-Agent System Using Fixed Multiunit First-Price Sealed-Bid Auction.
Proceedings of the Agents and Multi-Agent Systems: Technologies and Applications 2021, 2021
A Novel Computational Approach for Biomarker Detection for Gene Expression-Based Computer-Aided Diagnostic Systems for Breast Cancer.
Proceedings of the Artificial Neural Networks - Third Edition., 2021
2020
Novel domain expansion methods to improve the computational efficiency of the Chemical Master Equation solution for large biological networks.
BMC Bioinform., 2020
Using activity time windows and logical representation to reduce the complexity of biological network models: G1/S checkpoint pathway with DNA damage.
Biosyst., 2020
2019
Proceedings of the Agents and Multi-agent Systems: Technologies and Applications 2019, 2019
2018
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018
2017
A system of recurrent neural networks for modularising, parameterising and dynamic analysis of cell signalling networks.
Biosyst., 2017
2016
A novel semi-quantitative Fuzzy Cognitive Map model for complex systems for addressing challenging participatory real life problems.
Appl. Soft Comput., 2016
Neural Networks for Robotic Detection of Mastitis in Dairy Cows: Netherlands and New Zealand Perspectives.
Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016, 2016
2015
Ca<sup>2+</sup> dysregulation in the endoplasmic reticulum related to Alzheimer's disease: A review on experimental progress and computational modeling.
Biosyst., 2015
2014
The meiotic-mitotic initiation switch in budding yeast maintains its function robustly against sensitive parameter perturbations.
Biosyst., 2014
Systems biology of synaptic plasticity: A review on N-methyl-d-aspartate receptor mediated biochemical pathways and related mathematical models.
Biosyst., 2014
2013
Mixed-method integration and advances in fuzzy cognitive maps for computational policy simulations for natural hazard mitigation.
Environ. Model. Softw., 2013
Novel recurrent neural network for modelling biological networks: Oscillatory p53 interaction dynamics.
Biosyst., 2013
Computational experiments reveal the efficacy of targeting CDK2 and CKIs for significantly lowering cellular senescence bar for potential cancer treatment.
Biosyst., 2013
2012
Modelling Energy Use and Fuel Consumption in Wheat Production Using Indirect Factors and Artificial Neural Networks.
Proceedings of the Neural Information Processing - 19th International Conference, 2012
2011
Microarray gene expression: A study of between-platform association of Affymetrix and cDNA arrays.
Comput. Biol. Medicine, 2011
Robustness of circadian rhythms in the presence of molecular fluctuations: An investigation based on a mechanistic, statistical theory and a simulation algorithm.
Biosyst., 2011
2010
Robustness of G1/S checkpoint pathways in cell cycle regulation based on probability of DNA-damaged cells passing as healthy cells.
Biosyst., 2010
1995
A Comparison of Model-based Reasoning and Learning Approaches to Power Transmission Fault Diagnosis.
Proceedings of the 2nd New Zealand Two-Stream International Conference on Artificial Neural Networks and Expert Systems (ANNES '95), 1995