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Andrés L Suárez-Cetrulo currently works at the Centre for Applied Data Analytics Research at University College Dublin, Ireland. He holds a PhD in Artificial Intelligence at University Carlos III de Madrid with International Doctorate and Cum Laude mentions. See more in: https://about.me/suarez-cetrulo
Stream Processing has recently become one of the current commercial trends to face huge amounts of data. However, normally these techniques need specific infrastructures and high resources in terms of memory and computing nodes. This paper shows how mini-batch techniques and topology extraction methods can help making gigabytes of data to be manage...
In recent years, the problem of concept drift has gained importance in the financial domain. The succession of manias, panics and crashes have stressed the non-stationary nature and the likelihood of drastic structural or concept changes in the markets. Traditional systems are unable or slow to adapt to these changes. Ensemble-based systems are wid...
This study explores the suitability of neural networks with a convolutional component as an alternative to traditional multilayer perceptrons in the domain of trend classification of cryptocurrency exchange rates using technical analysis in high frequencies. The experimental work compares the performance of four different network architectures -con...
Wind power forecasting is a field characterised by sudden weather-related events, turbine failures and constraints imposed by the electricity grid. Nowadays, different energy markets add the extra challenge of requiring predictions at the minute level a day forward for bidding-processes. This is to avoid trading energy as a bulk and match demand. I...
The investment of time and resources for better strategies and methodologies to tackle a potential pandemic is key for dealing with potential outbreaks of new variants or other viruses in the future. In this work, we recreated the scene of 2020 for the fifty countries with more COVID-19 cases reported. We performed some experiments to compare state...
The investment of time and resources for better strategies and methodologies to tackle a potential pandemic is key to deal with potential outbreaks of new variants or other viruses in the future. In this work, we recreated the scene of a year ago, 2020, when the pandemic erupted across the world for the fifty countries with more COVID-19 cases repo...
Forecasting Renewable Energy with Machine Intelligence (FREMI)