Recently there has been significant interest in supervised learning algorithms that combine
labeled and unlabeled data for text learning tasks. The co-training setting 1] applies to …

The intestinal microbiota is recognized to play a role in the defense against infection, but
conversely also acts as a reservoir for potentially pathogenic organisms. Disruption to the …

Machine learning, artificial intelligence, and other modern statistical methods are providing
new opportunities to operationalise previously untapped and rapidly growing sources of data …

Hypertext poses new research challenges for text classification. Hyperlinks, HTML tags,
category labels distributed over linked documents, and meta data extracted from related Web …

We describe our work on extracting attribute and value pairs from textual product descriptions.
The goal is to augment databases of products by representing each product as a set of …

Recent work has raised concerns on the risk of unintended bias in AI systems being used
nowadays that can affect individuals unfairly based on race, gender or religion, among other …

Explainability is highly desired in machine learning (ML) systems supporting high-stakes
policy decisions in areas such as health, criminal justice, education, and employment. While …

Aim: The purpose of this review is to systematically review all the reported cases and case
series of caesarean scar pregnancy (CSP) managed expectantly without any intervention in …

… Open source programming systems such as Python (used extensively throughout this book)
and R provide high-quality implementations of numerous data analysis and visualization …

Many school districts have developed successful intervention programs to help students
graduate high school on time. However, identifying and prioritizing students who need those …