| Machine learning the carbon footprint of bitcoin mining HF Calvo-Pardo, T Mancini, J Olmo Journal of Risk and Financial Management 15 (2), 71, 2022 | 13 | 2022 |
| Optimal deep neural networks by maximization of the approximation power H Calvo-Pardo, T Mancini, J Olmo Computers & Operations Research 156, 106264, 2023 | 12 | 2023 |
| Granger causality detection in high-dimensional systems using feedforward neural networks H Calvo-Pardo, T Mancini, J Olmo International Journal of Forecasting 37 (2), 920-940, 2021 | 11 | 2021 |
| Extremely randomized neural networks for constructing prediction intervals T Mancini, H Calvo-Pardo, J Olmo Neural Networks 144, 113-128, 2021 | 9 | 2021 |
| Neural network models for empirical finance HF Calvo-Pardo, T Mancini, J Olmo Journal of Risk and Financial Management 13 (11), 265, 2020 | 9 | 2020 |
| Interlaboratory Application of Raman CO2 Densimeter Equations: Experimental Procedure and Statistical Analysis Using Bootstrapped Confidence Intervals S Remigi, T Mancini, S Ferrando, ML Frezzotti Applied Spectroscopy 75 (7), 867-881, 2021 | 8 | 2021 |
| Prediction intervals for deep neural networks T Mancini, H Calvo-Pardo, J Olmo arXiv preprint arXiv:2010.04044, 2020 | 8 | 2020 |
| Environmental Engel curves: A neural network approach T Mancini, H Calvo-Pardo, J Olmo Journal of the Royal Statistical Society Series C: Applied Statistics 71 (5 …, 2022 | | 2022 |
| Supplementary information for Machine Learning the Carbon Footprint of Bitcoin Mining H Calvo-Pardo, T Mancini, J Olmo | | 2021 |
| Environmental Engle Curves: A deep learning approach T Mancini, H Calvo-Pardo, J Olmo | | 2021 |
| Deep learning in econometrics: theory and applications T Mancini University of Southampton, 2021 | | 2021 |
| The statistical equivalence of the CO2 Raman densimeter equations S Remigi, T Mancini, S Ferrando, M Frezzotti | | 2020 |
