Marine accidents are complex processes in which many factors are involved and contribute
to accident development. For this reason, effectively analyse what combination of factors …

The recurrent use of databases with categorical variables in different applications demands
new alternatives to identify relevant patterns. Classification is an interesting approach for the …

Abstract Machine learning started as an academic-oriented domain, but nowadays it is
becoming more and more widespread across diverse domains, such as retail, healthcare …

Due to greater accessibility, healthcare databases have grown over the years. In this paper,
we practice locating and associating data points or observations that pertain to similar …

In this paper, the pipeline we used in the RecSys challenge 2018 is reported. We present
content-based and collaborative filtering approaches for the definition of the similarity …

We propose an improved estimator for the multi-task averaging problem, whose goal is the
joint estimation of the means of multiple distributions using separate, independent data sets …

Multi-kernel learning methods are essential kernel learning methods. Still, the base kernel
functions in most multi-kernel learning methods only with select kernel functions with …

The pervasive presence of artificial intelligence (AI) in our everyday life has nourished the
pursuit of explainable AI. Since the dawn of AI, logic has been widely used to express, in a …

Biological information in protein is still remaining as a big challenge today. Many protein
surfaces, bound only with protein due to its broad range function properties. Protein function …

In this paper, we deal with the classical Statistical Learning Theory's problem of bounding,
with high probability, the true risk R (h) of a hypothesis h chosen from a set H of m …