Non-technical losses (NTL) identification has been paramount in the last years. However, it
is not straightforward to obtain labelled datasets to perform a supervised NTL recognition …

In the last decade, machine learning-based approaches became capable of performing a
wide range of complex tasks sometimes better than humans, demanding a fraction of the …

Graph-based pattern recognition techniques have been in the spotlight for many years,
since there is a constant need for faster and more effective approaches. Among them, the …

In the past decades, fuzzy logic has played an essential role in many research areas.
Alongside, graph-based pattern recognition has shown to be of great importance due to its …

OPFython is an open-sourced Python package that implements Optimum-Path Forest
algorithms using object-oriented programming and a straightforward structure. It provides an …

In this contribution we present a new method for data clustering based on principal curves.
Principal curves consist of a nonlinear generalization of principal component analysis and …

Abstract Bag-of-Visual Words (BoVW) and deep learning techniques have been widely used
in several domains, which include computer-assisted medical diagnoses. In this work, we …

Video summarization attempts at encoding a given video into a compact representation for a
better storage and retrieval purposes. This work copes with the problem of static video …

Machine learning techniques have been paramount throughout the last years, being applied
in a wide range of tasks, such as classification, object recognition, person identification, and …

Microwaved scattered signals are of great importance, because of their various applications
in many fields such as medicine, biology and other sciences. Microwave scattered signals …