| Plan and Develop Advanced Knowledge and Skills for Future Industrial Employees in the Field of Artificial Intelligence, Internet of Things and Edge Computing Ł Paśko, M Mądziel, D Stadnicka, G Dec, A Carreras-Coch, X Solé-Beteta, ... Sustainability 14 (6), 3312, 2022 | 31 | 2022 |
| A Systematic Review of Wi-Fi and Machine Learning Integration with Topic Modeling Techniques D Atzeni, D Bacciu, D Mazzei, G Prencipe Sensors 22 (13), 4925, 2022 | 23 | 2022 |
| Modeling edge features with deep bayesian graph networks D Atzeni, D Bacciu, F Errica, A Micheli 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 8 | 2021 |
| Data-Driven Insights through Industrial Retrofitting: An Anonymized Dataset with Machine Learning Use Cases D Atzeni, R Ramjattan, R Figliè, G Baldi, D Mazzei Sensors 23 (13), 6078, 2023 | 6 | 2023 |
| Analysis of representation and generalization capabilities of pre-trained audio models in urban environments D Atzeni, E Vidaña-Vila, RM ALSINA-PAGES INTER-NOISE and NOISE-CON Congress and Conference Proceedings 270 (6), 5964-5975, 2024 | | 2024 |
| GAS-Norm: Score-Driven Adaptive Normalization for Non-Stationary Time Series Forecasting in Deep Learning E Urettini, D Atzeni, RJ Ramjattan, A Carta arXiv preprint arXiv:2410.03935, 2024 | | 2024 |
| Comparative Evaluation of Continual Learning Methods in Financial and Industrial Time-Series Data R Ramjattan, D Atzeni, D Mazzei 2024 International Joint Conference on Neural Networks (IJCNN), 1-7, 2024 | | 2024 |
| Learning Edge Representations by Contextual Graph Markov Model D ATZENI | | 2020 |
