Marco Gregnanin
Orcid: 0009-0004-3205-6997
According to our database1,
Marco Gregnanin authored at least 8 papers
between 2023 and 2026.
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Bibliography
2026
Dynamic Hypergraph Representation Learning for Multivariate Time Series without Prior Knowledge.
CoRR, May, 2026
The Statistical Significance of the Inclusion of Graph Neural Networks in the Financial Time Series Forecasting Problem.
CoRR, May, 2026
2024
Appl. Netw. Sci., December, 2024
Achieving Predictive Precision: Leveraging LSTM and Pseudo Labeling for Volvo's Discovery Challenge at ECML-PKDD 2024.
CoRR, 2024
Predicting the Failure of Component X in the Scania Dataset with Graph Neural Networks.
Proceedings of the Advances in Intelligent Data Analysis XXII, 2024
Proceedings of the Discovery Science Late Breaking Contributions 2024 (DS-LB 2024) co-located with 27th International Conference Discovery Science 2024 (DS 2024), 2024
2023
Stock Price Time Series Forecasting Using Dynamic Graph Neural Networks and Attention Mechanism in Recurrent Neural Networks.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023
Proceedings of the Complex Networks & Their Applications XII, 2023