Knowledge-based biomedical data science involves the design and implementation of
computer systems that act as if they knew about biomedicine. Such systems depend on …

Schizophrenia is a neuropsychiatric disorder mainly affecting the central nervous system
(CNS), presented with auditory and visual hallucinations, delusion and withdrawal from …

In this paper, we present a preliminary study to compute embeddings for OWL 2 ontologies
by projecting the ontology axioms into a graph and performing (random) walks over the …

Exploring the effects a chemical compound has on a species takes a considerable
experimental effort. Appropriate methods for estimating and suggesting new effects can …

Zero-shot learning (ZSL) is a popular research problem that aims at predicting for those
classes that have never appeared in the training stage by utilizing the inter-class …

The objective of this work is the design of a technological platform for remote monitoring of
patients with Chronic Obstructive Pulmonary Disease (COPD). The concept of the framework …

The objective of this work is the design of a technological platform for remote monitoring of
patients with Chronic Obstructive Pulmonary Disease (COPD). The concept of the framework …

The semantic heterogeneity concern in the information integration can be handled by
applying ontology alignment. The purpose of the ontology alignment procedure is to locate …

The semantic heterogeneity issue in the information integration can be solved by using
ontology alignment. The goal of the ontology alignment technique is to locate concepts that …

Causation is notoriously difficult to analyze notwithstanding its considerable significance for
a detailed description of complex phenomena in multifarious domains, including …