Search Results for author: Akwarandu Ugo Nwachuku

Found 2 papers, 0 papers with code

A Preliminary Exploration into an Alternative CellLineNet: An Evolutionary Approach

no code implementations26 Jul 2020 Akwarandu Ugo Nwachuku, Xavier Lewis-Palmer, Darlington Ahiale Akogo

Within this paper, the exploration of an evolutionary approach to an alternative CellLineNet: a convolutional neural network adept at the classification of epithelial breast cancer cell lines, is presented.

Classification General Classification

Estimating the time-lapse between medical insurance reimbursement with non-parametric regression models

no code implementations19 Aug 2020 Mary Akinyemi, Chika Yinka-Banjo, Ogban-Asuquo Ugot, Akwarandu Ugo Nwachuku

Non-parametric supervised learning algorithms represent a succinct class of supervised learning algorithms where the learning parameters are highly flexible and whose values are directly dependent on the size of the training data.

Hyperparameter Optimization regression

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