In recent years, the development of intelligent transportation systems (ITS) has involved the
input of various kinds of heterogeneous data in real time and from multiple sources, which …

While the rapid development of information technology has made easy to store and access
the huge amount of data, it also brings another problem, that of how to extract potentially …

Quantified sentences are a very powerful notion for modelling statements in Natural
Language (NL), but in practice they have been used to solve several problems. This paper is …

We present in this paper an application that automatically generates textual short-term
weather forecasts for every municipality in Galicia (NW Spain), using the real data provided …

This paper explores the current state of the task of generating easily understandable
information from data for people using natural language, which is currently addressed by …

In this paper we provide a general approach for the concepts and processes related to the
generation of linguistic descriptions of time series. As we will see, this approach consists of …

Deep convolutional neural network used for image classification is an important part of deep
learning and has great significance in the field of computer vision. Moreover, it helps …

The soft computing methods, especially data mining, usually enable to describe large
datasets in a human-consistent way with the use of some generic and conceptually …

To enhance the performance of transportation systems a wide range of computer
applications and computer software have been developed, which help users into the …

Although it has become easier for individuals to track their personal health data (eg, heart
rate, step count, and nutrient intake data), there is still a wide chasm between the collection …