Speaking the same language? A direct cartography between functional knee phenotypes and CPAK. [PDF]
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Pancreas modelling by a deterministic optimisation method
International Journal of Data Mining and Bioinformatics, 2011Diabetes mellitus is a disease characterised by abnormally high glucose concentration, insulin dysfunction and resistance which may lead to health problems such as cardiovascular disease. This paper presents a mechanistic pancreas model of insulin dynamics which incorporates experimental physiological data.
Dayu Lv, Bill Goodwine
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Deterministic oversampling methods based on SMOTE
Journal of Intelligent & Fuzzy Systems, 2019In supervised classification if one of the classes has fewer objects than the other, we have a class imbalance problem. One of the most common solutions to address class imbalance problems is oversampling, and SMOTE is the most referenced and well-known oversampling method. However, SMOTE creates synthetic objects in a random way, therefore it produces
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Pricing futures by deterministic methods
Acta Numerica, 2012In this article we will focus on only a small part of financial mathematics, namely the use of partial differential equations for pricing futures. Even within this narrow range it is hard to be systematic and complete, or even to do better than existing books such as Wilmott, Howison and Dewynne (1995), Achdou and Pironneau (2005), or software manuals ...
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A Deterministic Method for Haplotype Inference
2007 Conference Record of the Forty-First Asilomar Conference on Signals, Systems and Computers, 2007Haplotypes are widely used in the analysis of relationship between genetics and diseases. Due to the cost of obtaining exact haplotype pairs, genotypes which contain the un-phased information corresponding to the haplotype pairs in the test subjects are used. Various haplotype inference algorithms have been proposed to resolve the un-phased information.
Kuo-ching Liang, Xiaodong Wang
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Algebraic methods for deterministic blind beamforming
Proceedings of the IEEE, 1998Deterministic blind beamforming algorithms try to separate superpositions of source signals impinging on a phased antenna array by using the deterministic properties of the signals or the channels such as their constant modulus or directions-of-arrival. Progress in this area has been abundant over the past ten years and has resulted in several powerful
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Deterministic Search Methods for Computational Protein Design
2016One main challenge in Computational Protein Design (CPD) lies in the exploration of the amino-acid sequence space, while considering, to some extent, side chain flexibility. The exorbitant size of the search space urges for the development of efficient exact deterministic search methods enabling identification of low-energy sequence-conformation models,
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