Abstract Face Super-Resolution (SR) is a domain-specific superresolution problem. The
facial prior knowledge can be leveraged to better super-resolve face images. We present a …

Scientific progress is increasingly based on knowledge and information. Knowledge is now
recognized as the driver of productivity and economic growth, leading to a new focus on the …

Background The goal of the first BioCreAtIvE challenge (Critical Assessment of Information
Extraction in Biology) was to provide a set of common evaluation tasks to assess the state of …

The recognition of biomedical concepts in natural text (named entity recognition, NER) is a
key technology for automatic or semi-automatic analysis of textual resources. Precise NER …

The biomedical community makes extensive use of text mining technology. In the past
several years, enormous progress has been made in developing tools and methods, and the …

Keeping up with the rapidly growing literature has become virtually impossible for most
scientists. This can have dire consequences. First, we may waste research time and …

During the past two decades, multiview learning as an emerging direction in machine
learning became a prevailing research topic in artificial intelligence (AI). Its success and …

Motivation: Identification and characterization of protein–protein interactions (PPIs) is one of
the key aims in biological research. While previous research in text mining has made …

OBJECTIVE: The amount of biomedical data in different disciplines is growing at an
exponential rate. Integrating these significant knowledge sources to generate novel …

With the advance of the internet of things and building management system (BMS) in
modern buildings, there is an opportunity of using the data to extend the use of building …