The abundance of digital text has led to extensive research on topic models that reason
about documents using latent representations. Since for many online or streaming textual …

Scientists increasingly rely on Python tools to perform scalable distributed memory array
operations using rich, NumPy-like expressions. Existing solutions achieve sub-optimal …

Topic models are a class of unsupervised machine learning algorithm used to estimate
latent thematic patterns underlying large unstructured document collections. This thesis …

The aim of this study was to develop a psychosocial intervention program (proximal) and its
effectiveness in improving the social profile and social interest of children with high-grade …

Precision oncology promises personalized care for each patient based on a holistic view of
their data. However, several methodological and translational advances are required for …

Complex patient are becoming more and more of a challenge to the health care system
given the amount of care they require and the amount of documentation needed to keep …