[PDF][PDF] Tools of trade of the next blue-collar job? antecedents, design features, and outcomes of interactive labeling systems
Supervised machine learning is becoming increasingly popular-and so is the need for
annotated training data. Such data often needs to be manually labeled by human workers …
annotated training data. Such data often needs to be manually labeled by human workers …
Discrete Protein Metric (DPM): A new image similarity metric to calculate accuracy of deep learning-generated cell focal adhesion predictions
M Contreras, W Bachman, DS Long - Micron, 2022 - Elsevier
Understanding cell behaviors can provide new knowledge on the development of different
pathologies. Focal adhesion (FA) sites are important sub-cellular structures that are involved …
pathologies. Focal adhesion (FA) sites are important sub-cellular structures that are involved …
Interactive Machine Learning Framework for Predicting Non-Performing Bank Loans
The aim of this study is to develop an Interactive Machine Learning framework, based on
outlier hunting techniques to predict non-performing bank loans. Multivariate Gaussian …
outlier hunting techniques to predict non-performing bank loans. Multivariate Gaussian …
A Brief Overview of Applications of Machine Learning in Life Sciences
S Ghosh, R Dasgupta - Machine Learning in Biological Sciences: Updates …, 2022 - Springer
Biology or the science of life is immensely diverse and immense in its complexity and
processes and interaction with the environment. Despite diverse applications of …
processes and interaction with the environment. Despite diverse applications of …
Mātauranga Māori and anti-microbials: Searching for new tools to control the spread of Kauri Dieback
TA Ngata-Aerengamate - 2020 - openaccess.wgtn.ac.nz
Phytophthora are plant pathogens, well known for devastating thousands of ecologically,
culturally and economically significant plant crops worldwide. In greek Phytophthora …
culturally and economically significant plant crops worldwide. In greek Phytophthora …