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2020 – today
- 2024
[j1]Daniele Pretolesi
, Davide Garbarino, Daniele Giampaoli, Andrea Vian, Annalisa Barla:
Geometric Deep Learning Strategies for the Characterization of Academic Collaboration Networks. IEEE Trans. Emerg. Top. Comput. 12(3): 840-851 (2024)- 2022
- [b1]Davide Garbarino:
Acknowledging the structured nature of real-world data with graphs embeddings and probabilistic inference methods. University of Genoa, Italy, 2022 - 2021
- [c5]Davide Garbarino, Matteo Moro, Chiara Tacchino, Paolo Moretti, Maura Casadio, Francesca Odone, Annalisa Barla:
Attributed Graphettes-Based Preterm Infants Motion Analysis. COMPLEX NETWORKS 2021: 82-93 - [c4]Veronica Tozzo, Federico Ciech, Davide Garbarino, Alessandro Verri:
Statistical Models Coupling Allows for Complex Local Multivariate Time Series Analysis. KDD 2021: 1593-1603 - [c3]Firas Bayram, Davide Garbarino, Annalisa Barla:
Predicting Tennis Match Outcomes with Network Analysis and Machine Learning. SOFSEM 2021: 505-518 - 2020
- [c2]Veronica Tozzo, Davide Garbarino, Annalisa Barla:
Missing Values in Multiple Joint Inference of Gaussian Graphical Models. PGM 2020: 497-508 - [c1]Davide Garbarino, Veronica Tozzo, Andrea Vian, Annalisa Barla:
A Robust Method for Statistical Testing of Empirical Power-Law Distributions. WAW 2020: 145-157
Coauthor Index
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last updated on 2024-10-04 21:00 CEST by the dblp team
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