| Titolo |
Pubblicato in |
Anno |
| Reti neurali quantistiche per dispositivi Noisy Intermediate-Scale Quantum (NISQ) |
Memorie ET2022 |
2022 |
| Reti neurali randomizzate per la predizione di serie energetiche |
Memorie ET2022 |
2022 |
| Calcolo iperdimensionale e architetture a vettori simbolici per le reti neurali |
Memorie ET2022 |
2022 |
| Deep learning per la predizione multivariata di serie energetiche |
Memorie ET2022 |
2022 |
| Two-stage dynamic management in energy communities using a decision system based on elastic net regularization |
APPLIED ENERGY |
2021 |
| 2-D Convolutional Deep Neural Network for Multivariate Energy Time Series Prediction |
ENERGIES |
2021 |
| A decentralized algorithm for distributed ensemble clustering |
INFORMATION SCIENCES |
2021 |
| Time series prediction with autoencoding LSTM networks |
Advances in Computational Intelligence (LNCS 12862) |
2021 |
| On effects of compression with hyperdimensional computing in distributed randomized neural networks |
Advances in Computational Intelligence (LNCS 12862) |
2021 |
| Deep learning-based structural health monitoring for damage detection on a large space antenna |
ACTA ASTRONAUTICA |
2021 |
| A blockwise embedding for multi-day-ahead prediction of energy time series by randomized deep neural networks |
Proceedings of the International Joint Conference on Neural Networks |
2021 |
| Hyperdimensional computing for efficient distributed classification with randomized neural networks |
Proceedings of the International Joint Conference on Neural Networks |
2021 |
| Design of an LSTM cell on a quantum hardware |
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS. II, EXPRESS BRIEFS |
2021 |
| Multivariate Prediction of Energy Time Series by Autoencoded LSTM Networks |
21st IEEE International Conference on Environment and Electrical Engineering and 2021 5th IEEE Industrial and Commercial Power System Europe, EEEIC / I and CPS Europe 2021 - Proceedings |
2021 |
| Deep Neural Networks for Electric Energy Theft and Anomaly Detection in the Distribution Grid |
21st IEEE International Conference on Environment and Electrical Engineering and 2021 5th IEEE Industrial and Commercial Power System Europe, EEEIC / I and CPS Europe 2021 - Proceedings |
2021 |
| Multidimensional feeding of LSTM networks for multivariate prediction of energy time series |
|
2020 |
| A combined deep learning approach for time series prediction in energy environments |
Conference Record - Industrial and Commercial Power Systems Technical Conference |
2020 |
| A parallel hardware implementation for 2D hierarchical clustering based on fuzzy logic |
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS. II, EXPRESS BRIEFS |
2020 |
| An energy-aware hardware implementation of 2D hierarchical clustering |
|
2020 |
| Time series prediction using random weights fuzzy neural networks |
IEEE International Conference on Fuzzy Systems |
2020 |
