LiteBIRD, the Lite (Light) satellite for the study of B-mode polarization and Inflation from
cosmic background Radiation Detection, is a space mission for primordial cosmology and …

Abstract Machine learning is increasingly important in microbiology where it is used for tasks
such as predicting antibiotic resistance and associating human microbiome features with …

Graph Neural Networks (GNNs) have become the leading paradigm for learning on (static)
graph-structured data. However, many real-world systems are dynamic in nature, since the …

Deep learning (DL) has proved successful in medical imaging and, in the wake of the recent
COVID-19 pandemic, some works have started to investigate DL-based solutions for the …

Removal of ions such as Cd 2+ , Zn 2+ , three- and hexavalent chromium from aqueous
solutions using hazelnut shell as biosorbent substrate has been performed. Batch equilibrium …

Normative texts can be viewed as composed by formal partitions (articles, paragraphs, etc.)
or by semantic units containing fragments of a regulation (provisions). Provisions can be …

DISULFIND is a server for predicting the disulfide bonding state of cysteines and their
disulfide connectivity starting from sequence alone. Optionally, disulfide connectivity can be …

In the arterial circulation, regions of disturbed flow (DF), which are characterized by flow
separation and transient vortices, are susceptible to atherogenesis, whereas regions of …

High levels of triglyceride-rich lipoproteins (TGRLs) in blood are linked to development of
atherosclerosis, yet the mechanisms by which these particles initiate inflammation of …

We study the problem of multiclass classification within the framework of error correcting
output codes (ECOC) using margin-based binary classifiers. Specifically, we address two …