… Here, we provide an overview of machinelearningapplications for the analysis of genome … the application of supervised, semi-supervised and unsupervised machinelearning methods, …
… the bioinformatics field, to study the application of machinelearning (ML) methods. Therefore, … Given the growing trend on the application of ML methods in cancer research, we present …
… real-world applications. The main objective of this paper is to provide insight survey … machine learning along with deep learningapplications in various domains. Also, some applications …
AA Soofi, A Awan - Journal of Basic & Applied Sciences, 2017 - set-publisher.com
… their strengths, weaknesses, potential applications and issues with their … machinelearning. This work will be helpful for both academia and new comers in the field of machinelearning …
… has increasingly been used in a variety of medical applications, including triaging of … broad utility of machinelearning techniques in epilepsy, this work highlights recent applications in …
A Kan - Immunology and cell biology, 2017 - Wiley Online Library
… This review focuses on ML applications for image analysis in light microscopy experiments … applications at various image processing stages, including the use of supervised learning …
… However, systems biology and machinelearning approaches are continuously enhanced in … machinelearning algorithms, and more specifically, we will focus on sequential learning …
JT McCoy, L Auret - Minerals Engineering, 2019 - Elsevier
… of new machinelearning techniques independent of intended use in minerals engineering). The importance of domain-knowledge in the application of machinelearning techniques will …
… of these machinelearningapplications, we can enable faster deployment of machinelearning … focus more on problems with more application and business values. These would make …