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ORCIDAnna Maria Paganoni
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2020 – today
- 2023
[j19]Antonio Elías
, Raúl Jiménez, Anna Maria Paganoni, Laura M. Sangalli:
Integrated Depths for Partially Observed Functional Data. J. Comput. Graph. Stat. 32(2): 341-352 (2023)- 2022
- [j18]Michela Carlotta Massi, Francesca Gasperoni, Francesca Ieva, Anna Maria Paganoni:
Feature selection for imbalanced data with deep sparse autoencoders ensemble. Stat. Anal. Data Min. 15(3): 376-395 (2022) - 2021
- [j17]Chiara Masci, Francesca Ieva, Tommaso Agasisti, Anna Maria Paganoni:
Evaluating class and school effects on the joint student achievements in different subjects: a bivariate semiparametric model with random coefficients. Comput. Stat. 36(4): 2337-2377 (2021) - [j16]Luca Fontana, Chiara Masci, Francesca Ieva, Anna Maria Paganoni:
Performing Learning Analytics via Generalised Mixed-Effects Trees. Data 6(7): 74 (2021) - [j15]Massimo Pellagatti, Chiara Masci, Francesca Ieva, Anna Maria Paganoni:
Generalized mixed-effects random forest: A flexible approach to predict university student dropout. Stat. Anal. Data Min. 14(3): 241-257 (2021) - [i2]Michela Carlotta Massi, Nicola R. Franco, Francesca Ieva, Andrea Manzoni, Anna Maria Paganoni, Paolo Zunino:
Learning High-Order Interactions via Targeted Pattern Search. CoRR abs/2102.12974 (2021) - [i1]Michela Carlotta Massi, Francesca Ieva, Francesca Gasperoni, Anna Maria Paganoni:
Feature Selection for Imbalanced Data with Deep Sparse Autoencoders Ensemble. CoRR abs/2103.11678 (2021) - 2020
- [j14]Andrea Martino, Giuseppina Guatteri, Anna Maria Paganoni:
Multivariate Hidden Markov Models for disease progression. Stat. Anal. Data Min. 13(5): 499-507 (2020)
2010 – 2019
- 2019
- [j13]Francesca Ieva, Anna Maria Paganoni, Juan Romo, Nicholas Tarabelloni:
roahd Package: Robust Analysis of High Dimensional Data. R J. 11(2): 291 (2019) - [j12]Luca Mancini, Anna Maria Paganoni:
Marked point process models for the admissions of heart failure patients. Stat. Anal. Data Min. 12(2): 125-135 (2019) - 2018
- [j11]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) - [c1]Manuel Domínguez, Ramón Vilanova, Miguel A. Prada, José López Vicario, Marian Barbu, Maria João Varanda Pereira, Michal Podpora, Umberto Spagnolini, Paulo Alves, Anna Maria Paganoni:
SPEET: Visual Data Analysis of Engineering Students Performance From Academic Data. LASI-SPAIN 2018: 50-61 - 2017
- [j10]Tommaso Agasisti, Francesca Ieva, Anna Maria Paganoni:
Heterogeneity, school-effects and the North/South achievement gap in Italian secondary education: evidence from a three-level mixed model. Stat. Methods Appl. 26(1): 157-180 (2017) - 2016
- [j9]Francesca Ieva, Anna Maria Paganoni, Nicholas Tarabelloni:
Covariance-based Clustering in Multivariate and Functional Data Analysis. J. Mach. Learn. Res. 17: 143:1-143:21 (2016) - [j8]Andrea Ghiglietti, Anna Maria Paganoni:
An urn model to construct an efficient test procedure for response adaptive designs. Stat. Methods Appl. 25(2): 211-226 (2016) - 2015
- [j7]Francesca Ieva, Anna Maria Paganoni:
Discussion of "multivariate functional outlier detection" by M. Hubert, P. Rousseeuw and P. Segaert. Stat. Methods Appl. 24(2): 217-221 (2015) - 2014
- [j6]Francesca Ieva, Giampiero Marra, Anna Maria Paganoni, Rosalba Radice:
A Semiparametric Bivariate Probit Model for Joint Modeling of Outcomes in STEMI Patients. Comput. Math. Methods Medicine 2014: 240435:1-240435:7 (2014) - 2013
- [j5]Francesca Ieva, Anna Maria Paganoni, Paolo Zanini:
Detection of Structural Changes in Tachogram Series for the Diagnosis of Atrial Fibrillation Events. Comput. Math. Methods Medicine 2013: 373401:1-373401:11 (2013) - [j4]Laura Azzimonti, Francesca Ieva, Anna Maria Paganoni:
Nonlinear nonparametric mixed-effects models for unsupervised classification. Comput. Stat. 28(4): 1549-1570 (2013) - [j3]Giacomo Aletti, Andrea Ghiglietti, Anna Maria Paganoni:
Randomly Reinforced Urn Designs with Prespecified Allocations. J. Appl. Probab. 50(2): 486-498 (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
2000 – 2009
- 2007
- [j2]Anna Maria Paganoni, Piercesare Secchi:
A numerical study for comparing two response-adaptive designs for continuous treatment effects. Stat. Methods Appl. 16(3): 321-346 (2007) - 2003
- [j1]Marco Fuhrman, Anna Maria Paganoni:
Linear Control Systems on Unbounded Time Intervals and Invariant Measures of Ornstein--Uhlenbeck Processes in Hilbert Spaces. SIAM J. Control. Optim. 42(5): 1776-1794 (2003)
Coauthor Index
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