With the advent of off-the-shelf intelligent home products and broader internet adoption,
researchers increasingly explore smart computing applications that provide easier access to …

Much of the recent success of Artificial Intelligence (AI) has been spurred on by impressive
achievements within a broader family of machine learning methods, commonly referred to as …

Automated citation analysis is becoming increasingly important in assessing the scientific
quality of publications and identifying patterns of collaboration among researchers …

In the last few years, the integration of researches in Computer Science and medical fields
has made available to the scientific community an enormous amount of data, stored in …

Representation of knowledge remains a problem for models of machine learning (ML). The
Paragraph vector is one of the current methods for embedding the text, where many …

Prédire la durée de séjour des patients est un enjeu important pour l'organisation des
activités de soin dans les hôpitaux, notamment en termes de gestion des lits et de …

ProQuest Dialog is a powerful search engine on pharmaceutical and biomedical papers. But
the document retrieval algorithm is getting outdated in current days. In this paper, we find a …

This paper studies economic determinants of semantic similarity in executive compensation
disclosures and its implications for compensation peer selection. We employ a novel …

Artificial intelligence (AI) is a fundamental technology useful in many fields, ranging from
finance, weather forecast, to medicine. Positive results are reached especially in the …

This paper studies how economic factors influence executive compensation disclosures. We
employ a novel measure based on a natural language processing algorithm, document …