Anna Maria Paganoni
Politecnico di Milano
H-index: 27
Europe-Italy
Top articles of Anna Maria Paganoni
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Integrated depths for partially observed functional data | Journal of computational and graphical statistics | Antonio Elías Raúl Jiménez Anna M Paganoni Laura M Sangalli | 2023/4/3 |
Clustering Hierarchies via a Semi-Parametric Generalized Linear Mixed Model: a statistical significance-based approach | arXiv preprint arXiv:2302.12103 | Alessandra Ragni Chiara Masci Francesca Ieva Anna Maria Paganoni | 2023/2/23 |
Learning high-order interactions for polygenic risk prediction | Plos one | Michela C Massi Nicola R Franco Andrea Manzoni Anna Maria Paganoni Hanla A Park | 2023/2/10 |
A novel statistical-significance based semi-parametric GLMM for clustering countries standing on their innumeracy levels | A Ragni C Masci F Ieva AM Paganoni | 2023 | |
Semi-parametric generalized linear mixed effects models for binary response for the analysis of heart failure hospitalizations | A Ragni C Masci F Ieva AM Paganoni | 2022 | |
Nudging communication for students at-risk of dropout: which effects? | M Cannistrà T Agasisti AM Paganoni C Masci | 2022/10/27 | |
Early-predicting dropout of university students: an application of innovative multilevel machine learning and statistical techniques | Studies in Higher Education | Marta Cannistrà Chiara Masci Francesca Ieva Tommaso Agasisti Anna Maria Paganoni | 2022/9/2 |
Multinomial Multilevel Models with Discrete Random Effects: a Multivariate Clustering Tool | Book of Abstracts | Chiara Masci Francesca Ieva Anna Maria Paganoni | 2022 |
Semiparametric multinomial mixed-effects models: A university students profiling tool | The Annals of Applied Statistics | Chiara Masci Francesca Ieva Anna Maria Paganoni | 2022/9 |
Feature selection for imbalanced data with deep sparse autoencoders ensemble | Statistical Analysis and Data Mining: The ASA Data Science Journal | Michela Carlotta Massi Francesca Gasperoni Francesca Ieva Anna Maria Paganoni | 2022/6 |
A neural network approach to survival analysis with time-dependent covariates for modelling time to cardiovascular diseases | F Corso A Lurani Cernuschi L Galli C Masci C Muccini | 2022 | |
Total embedding of spermatic cord and hilar soft tissue in orchiectomy for seminoma: does the extensive sampling improve pathologic risk factors? | Virchows Archiv | Maurizio Colecchia Biagio Paolini Giacomo Maria Pini Laura Carpenito Beatrice Maghini | 2022/11 |
Multinomial semiparametric mixed-effects model for profiling engineering university students | C Masci F Ieva AM Paganoni | 2021 | |
Development of a method for generating SNP interaction-aware polygenic risk scores for radiotherapy toxicity | Radiotherapy and Oncology | Nicola Rares Franco Michela Carlotta Massi Francesca Ieva Andrea Manzoni Anna Maria Paganoni | 2021/6/1 |
Interpretability and interaction learning for logistic regression models | NR Franco MC Massi F Ieva AM Paganoni | 2021 | |
Generalized mixed‐effects random forest: a flexible approach to predict university student dropout | Statistical Analysis and Data Mining: The ASA Data Science Journal | Massimo Pellagatti Chiara Masci Francesca Ieva Anna M Paganoni | 2021/6 |
How Much Tutoring Activities May Improve Academic Careers of At-Risk Students? An Evaluation Study | Preface XIX 1 Plenary Sessions | Marta Cannistra Tommaso Agasisti Anna Maria Paganoni Chiara Masci | 2021 |
Evaluating class and school effects on the joint student achievements in different subjects: a bivariate semiparametric model with random coefficients | Computational Statistics | Chiara Masci Francesca Ieva Tommaso Agasisti Anna Maria Paganoni | 2021/12 |
Treatment prescription, adherence, and persistence after the first hospitalization for heart failure: A population-based retrospective study on 100785 patients | International Journal of Cardiology | Simonetta Scalvini Palmira Bernocchi Stefania Villa Anna Maria Paganoni Maria Teresa La Rovere | 2021/5/1 |
The Leydig cell tumour Scaled Score (LeSS): a method to distinguish benign from malignant cases, with additional correlation with MDM2 and CDK4 amplification | Histopathology | Maurizio Colecchia Alessia Bertolotti Biagio Paolini Francesca Giunchi Andrea Necchi | 2021/1 |
