Optimal deep neural networks by maximization of the approximation power
Calvo-Pardo, Hector, Mancini, Tullio, Olmo, Jose
Published in Computers & operations research (01.08.2023)
Published in Computers & operations research (01.08.2023)
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Journal Article
Granger causality detection in high-dimensional systems using feedforward neural networks
Calvo-Pardo, Hector, Mancini, Tullio, Olmo, Jose
Published in International journal of forecasting (01.04.2021)
Published in International journal of forecasting (01.04.2021)
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Journal Article
Environmental Engel curves: A neural network approach
Mancini, Tullio, Calvo‐Pardo, Hector, Olmo, Jose
Published in Journal of the Royal Statistical Society Series C: Applied Statistics (01.11.2022)
Published in Journal of the Royal Statistical Society Series C: Applied Statistics (01.11.2022)
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Journal Article
Machine learning the carbon footprint of Bitcoin mining
Calvo Pardo, Héctor F, Mancini, Tullio, Olmo, Jose
Published in Journal of risk and financial management (01.02.2022)
Published in Journal of risk and financial management (01.02.2022)
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Journal Article
Interlaboratory Application of Raman CO 2 Densimeter Equations: Experimental Procedure and Statistical Analysis Using Bootstrapped Confidence Intervals
Remigi, Samantha, Mancini, Tullio, Ferrando, Simona, Frezzotti, Maria Luce
Published in Applied spectroscopy (04.02.2021)
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Published in Applied spectroscopy (04.02.2021)
Journal Article
Neural network models for empirical finance
Calvo Pardo, Héctor F, Mancini, Tullio, Olmo, Jose
Published in Journal of risk and financial management (01.11.2020)
Published in Journal of risk and financial management (01.11.2020)
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Journal Article
Prediction intervals for Deep Neural Networks
Mancini, Tullio, Calvo-Pardo, Hector, Olmo, Jose
Published in IDEAS Working Paper Series from RePEc (01.01.2020)
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Published in IDEAS Working Paper Series from RePEc (01.01.2020)
Paper
Machine Learning the Carbon Footprint of Bitcoin Mining
Calvo Pardo, Hector F, Mancini, Tullio, Olmo, Jose
Published in IDEAS Working Paper Series from RePEc (01.01.2021)
Get full text
Published in IDEAS Working Paper Series from RePEc (01.01.2021)
Paper