Daniele Atzeni

According to our database1, Daniele Atzeni authored at least 6 papers between 2021 and 2024.

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Bibliography

2024
GAS-Norm: Score-Driven Adaptive Normalization for Non-Stationary Time Series Forecasting in Deep Learning.
CoRR, 2024

Comparative Evaluation of Continual Learning Methods in Financial and Industrial Time-Series Data.
Proceedings of the International Joint Conference on Neural Networks, 2024

GAS-Norm: Score-Driven Adaptive Normalization for Non-Stationary Time Series Forecasting in Deep Learning.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
Data-Driven Insights through Industrial Retrofitting: An Anonymized Dataset with Machine Learning Use Cases.
Sensors, July, 2023

2022
A Systematic Review of Wi-Fi and Machine Learning Integration with Topic Modeling Techniques.
Sensors, 2022

2021
Modeling Edge Features with Deep Bayesian Graph Networks.
Proceedings of the International Joint Conference on Neural Networks, 2021


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