61 citations · 421 across the 31 of their papers we have counts for
31 papers
Curating art exhibitions using machine learning
Eurico Covas
Here we present a series of artificial models - a total of four related models - based on machine learning techniques that attempt to learn from existing exhibitions which have bee…
Named entity recognition using GPT for identifying comparable companies
Eurico Covas
For both public and private firms, comparable companies' analysis is widely used as a method for company valuation. In particular, the method is of great value for valuation of pri…
Transfer Learning in Spatial-Temporal Forecasting of the Solar Magnetic Field
Eurico Covas
Machine learning techniques have been widely used in attempts to forecast several solar datasets. Most of these approaches employ supervised machine learning algorithms which are,…
Optimal Neural Network Feature Selection for Spatial-Temporal Forecasting
Eurico Covas, Emmanouil Benetos
In this paper, we show empirical evidence on how to construct the optimal feature selection or input representation used by the input layer of a feedforward neural network for the…
Neural Network Forecast of the Sunspot Butterfly Diagram
Eurico Covas, Nuno Peixinho, Joao Fernandes
Using neural networks as a prediction method, we attempt to demonstrate that forecasting of the Sun's sunspot time series can be extended to the spatial-temporal case. We employ th…
Spatial-temporal forecasting the sunspot diagram
Eurico Covas
We attempt to forecast the Sun's sunspot butterfly diagram in both space (i.e. in latitude) and time, instead of the usual one-dimensional time series forecasts prevalent in the sc…