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2020 – today
- 2024
[j5]Bruno Guindani
, Danilo Ardagna, Alessandra Guglielmi, Roberto Rocco, Gianluca Palermo:
Integrating Bayesian Optimization and Machine Learning for the Optimal Configuration of Cloud Systems. IEEE Trans. Cloud Comput. 12(1): 277-294 (2024)- 2022
- [j4]Mario Beraha, Raffaele Argiento, Jesper Møller, Alessandra Guglielmi:
MCMC Computations for Bayesian Mixture Models Using Repulsive Point Processes. J. Comput. Graph. Stat. 31(1): 422-435 (2022) - [c1]Bruno Guindani, Danilo Ardagna, Alessandra Guglielmi:
MALIBOO: When Machine Learning meets Bayesian Optimization. SmartCloud 2022: 1-9
2010 – 2019
- 2018
- [j3]Alessandra Guglielmi, Francesca Ieva, Anna Maria Paganoni, Fernando A. Quintana:
A semiparametric Bayesian joint model for multiple mixed-type outcomes: an application to acute myocardial infarction. Adv. Data Anal. Classif. 12(2): 399-423 (2018) - 2016
- [j2]Raffaele Argiento, Ilaria Bianchini, Alessandra Guglielmi:
A blocked Gibbs sampler for NGG-mixture models via a priori truncation. Stat. Comput. 26(3): 641-661 (2016) - 2013
- [p1]Alessandra Guglielmi, Francesca Ieva, Anna Maria Paganoni, Fabrizio Ruggeri:
Hospital Clustering in the Treatment of Acute Myocardial Infarction Patients Via a Bayesian Semiparametric Approach. Statistical Models for Data Analysis 2013: 141-149 - 2010
- [j1]Raffaele Argiento, Alessandra Guglielmi, Antonio Pievatolo:
Bayesian density estimation and model selection using nonparametric hierarchical mixtures. Comput. Stat. Data Anal. 54(4): 816-832 (2010)
Coauthor Index
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