Aviation is a complicated transportation system, and safety is of paramount importance
because aircraft failure often involves casualties. Prevention is clearly the best strategy for …

We advocate the use of curated, comprehensive benchmark suites of machine learning
datasets, backed by standardized OpenML-based interfaces and complementary software …

Machine learning has become an everyday tool in so many fields that there is plenty of
software to run many of these algorithms in every device, from supercomputers to embedded …

The objective of this paper is to evaluate multi-label classification techniques and
recommender systems for cross-sell purposes in the financial services sector. We carried out …

A rich literature explores how cutting parameters influence surface roughness in machining
different materials using two-or three-dimensional visualisations. Research on Ti-6Al-4V …

OpenML is an online machine learning platform where researchers can easily share data,
machine learning tasks and experiments as well as organize them online to work and …

Distinguishing clinical subgroups for patients suffering with diseases characterized by a
wide phenotypic spectrum is essential for develo** precision therapies. Patients with gain …

With the widespread adoption of Internet connected devices and the application of Internet
of Things (IoT), more and more research efforts focusing on using machine learning …

Background Multimorbidity is a worldwide concern related to greater disability, worse quality
of life, and mortality. The early prediction is crucial for preventive strategies design and …

New proposals in the field of multi-label learning algorithms have been growing in number
steadily over the last few years. The experimentation associated with each of them always …