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Massimo Bilancia
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2020 – today
- 2024
- [i1]Massimo Bilancia, Samuele Magro:
Hierarchical mixtures of Unigram models for short text clustering: the role of Beta-Liouville priors. CoRR abs/2410.21862 (2024) - 2023
- [j4]Massimo Bilancia, Michele Di Nanni, Fabio Manca, Gianvito Pio:
Variational Bayes estimation of hierarchical Dirichlet-multinomial mixtures for text clustering. Comput. Stat. 38(4): 2015-2051 (2023) - [j3]Valeria Merlo, Gianvito Pio, Francesco Giusto, Massimo Bilancia:
On the exploitation of the blockchain technology in the healthcare sector: A systematic review. Expert Syst. Appl. 213(Part): 118897 (2023) - 2021
- [c7]Massimo Bilancia, Fabio Manca, Giovanni Sansaro:
A Time Series Decomposition Algorithm Based on Gaussian Processes. ICCSA (4) 2021: 577-592 - 2020
- [c6]Luigi Santacroce, Sara Mavaddati, Javad Hamedi, Bahman Zeinali, Andrea Ballini, Massimo Bilancia:
Expressive Analysis of Gut Microbiota in Pre- and Post- Solid Organ Transplantation Using Bayesian Topic Models. ICCSA (4) 2020: 150-165
2010 – 2019
- 2019
- [c5]Paola Perchinunno, Massimo Bilancia, Francesco Rotondo:
Industrial Development and Environmental Sustainability: A Multivariate Statistical Analysis. ICCSA (4) 2019: 62-77 - 2018
- [c4]Antonella Serra, Paola Perchinunno, Massimo Bilancia:
Predicting Student Dropouts in Higher Education Using Supervised Classification Algorithms. ICCSA (3) 2018: 18-33 - 2017
- [j2]Sonja Pravilovic, Massimo Bilancia, Annalisa Appice, Donato Malerba:
Using multiple time series analysis for geosensor data forecasting. Inf. Sci. 380: 31-52 (2017) - 2016
- [c3]Pasquale Ardimento, Massimo Bilancia, Stefano Monopoli:
Predicting Bug-Fix Time: Using Standard Versus Topic-Based Text Categorization Techniques. DS 2016: 167-182 - 2014
- [j1]Massimo Bilancia, Giacomo Demarinis:
Bayesian scanning of spatial disease rates with integrated nested Laplace approximation (INLA). Stat. Methods Appl. 23(1): 71-94 (2014)
2000 – 2009
- 2009
- [c2]Silvestro Montrone, Massimo Bilancia, Paola Perchinunno, Carmelo Maria Torre:
Economic Evaluation and Statistical Methods for Detecting Hot Spots of Social and Housing Difficulties in Urban Policies. ICCSA (1) 2009: 253-268 - [c1]Massimo Bilancia, Silvestro Montrone, Paola Perchinunno:
A Model-Based Scan Statistics for Detecting Geographical Clustering of Disease. ICCSA (1) 2009: 353-368
Coauthor Index
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last updated on 2024-12-01 00:18 CET by the dblp team
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