Francesco Di Luzio
Assegnista di ricerca
E-mail:
| Titolo | Pubblicato in | Anno |
|---|---|---|
| Reti neurali applicate all’elaborazione di segnali biomedici per l’analisi comportamentale | Memorie ET2024 | 2024 |
| An explainable fast deep neural network for emotion recognition | BIOMEDICAL SIGNAL PROCESSING AND CONTROL | 2024 |
| Enhancing autism detection through gaze analysis using eye tracking sensors and data attribution with distillation in deep neural networks | SENSORS | 2024 |
| A randomized deep neural network for emotion recognition with landmarks detection | BIOMEDICAL SIGNAL PROCESSING AND CONTROL | 2023 |
| Fast convolutional analysis of task-based fMRI data for ADHD detection | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 2023 |
| A deep neural network for G-quadruplexes binding proteins classification | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 2023 |
| Bimodal Feature Analysis with Deep Learning for Autism Spectrum Disorder Detection | INTERNATIONAL JOURNAL OF NEURAL SYSTEMS | 2023 |
| A price-aware dynamic decision system in energy communities | 2022 IEEE International conference on environment and electrical engineering and 2022 IEEE Industrial and commercial power systems Europe, EEEIC / I and CPS Europe 2022 | 2022 |
| A Fast Deep Learning Technique for Wi-Fi-Based Human Activity Recognition | ELECTROMAGNETIC WAVES | 2022 |
| Detection of Autism Spectrum Disorder by a Fast Deep Neural Network | Applied Intelligence and Informatics | 2022 |
| Reti neurali randomizzate per la predizione di serie energetiche | Memorie ET2022 | 2022 |
| Time series prediction with autoencoding LSTM networks | Advances in Computational Intelligence (LNCS 12862) | 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 |
| 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 |
© Università degli Studi di Roma "La Sapienza" - Piazzale Aldo Moro 5, 00185 Roma