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2020 – today
- 2024
[j20]Chiara Masci
, Francesca Ieva, Anna Maria Paganoni:
Inferential Tools for Assessing Dependence Across Response Categories in Multinomial Models with Discrete Random Effects. J. Classif. 41(3): 591-619 (2024)- [j19]Vittorio Torri, Michele Ercolanoni, Francesco Bortolan, Olivia Leoni, Francesca Ieva:
A NLP-based semi-automatic identification system for delays in follow-up examinations: an Italian case study on clinical referrals. BMC Medical Informatics Decis. Mak. 24(3): 107 (2024) - [c7]Luca Caldera, Lara Cavinato, Andrea Cappozzo, Isabella Cama, Sara Garbarino, Alessio Cirone, Raffaele Lodi, Fabrizio Tagliavini, Anna Nigri, Silvia De Francesco, Francesca Ieva, RIN-Neuroimaging Network:
DISARM: Disentangled Scanner-Free Image Generation via Unsupervised Image2Image Translation. MLCN@MICCAI 2024: 102-112 - [i5]Vittorio Torri, Elisa Barbieri, Anna Cantarutti, Carlo Giaquinto, Francesca Ieva:
Weakly-supervised diagnosis identification from Italian discharge letters. CoRR abs/2410.15051 (2024) - 2023
- [j18]Sara Pidò, Pietro Pinoli, Pietro Crovari, Francesca Ieva, Franca Garzotto, Stefano Ceri:
Ask Your Data - Supporting Data Science Processes by Combining AutoML and Conversational Interfaces. IEEE Access 11: 45972-45988 (2023) - [j17]Lara Cavinato, Noemi Gozzi, Martina Sollini, Margarita Kirienko, Carmelo Carlo-Stella, Chiara Rusconi, Arturo Chiti, Francesca Ieva:
Explainable domain transfer of distant supervised cancer subtyping model via imaging-based rules extraction. Artif. Intell. Medicine 138: 102522 (2023) - [j16]Alberto Archetti, Francesca Ieva, Matteo Matteucci:
Scaling survival analysis in healthcare with federated survival forests: A comparative study on heart failure and breast cancer genomics. Future Gener. Comput. Syst. 149: 343-358 (2023) - [j15]Guido Costa, Lara Cavinato, Francesco Fiz, Martina Sollini, Arturo Chiti, Guido Torzilli, Francesca Ieva, Luca Viganò:
Mapping Tumor Heterogeneity via Local Entropy Assessment: Making Biomarkers Visible. J. Digit. Imaging 36(3): 1038-1048 (2023) - [c6]Lara Cavinato, Jimin Hong, Stefan Reinhard, Martin Wartenberg, Paolo Zunino, Andrea Manzoni, Francesca Ieva, Kuangyu Shi:
A tissue-aware simulation framework for [18F]FLT spatiotemporal uptake in pancreatic ductal adenocarcinoma. CIBCB 2023: 1-9 - [c5]Vittorio Torri, Francesca Ieva:
Polimi at CLinkaRT: a Conditional Random Field vs a BERT-based approach. EVALITA 2023 - [i4]Alberto Archetti, Francesca Ieva, Matteo Matteucci:
Scaling Survival Analysis in Healthcare with Federated Survival Forests: A Comparative Study on Heart Failure and Breast Cancer Genomics. CoRR abs/2308.02382 (2023) - 2022
- [j14]Michela Carlotta Massi, Lorenzo Dominoni, Francesca Ieva, Giovanni Fiorito:
A Deep Survival EWAS approach estimating risk profile based on pre-diagnostic DNA methylation: An application to breast cancer time to diagnosis. PLoS Comput. Biol. 18(9): 1009959 (2022) - [j13]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) - [c4]Matteo Stefano Savino, Lara Cavinato, Guido Costa, Francesco Fiz, Guido Torzilli, Luca Viganò, Francesca Ieva:
Distant supervision for imaging-based cancer sub-typing in Intrahepatic Cholangiocarcinoma. EMBC 2022: 1032-1035 - 2021
- [j12]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) - [j11]Luca Fontana, Chiara Masci, Francesca Ieva, Anna Maria Paganoni:
Performing Learning Analytics via Generalised Mixed-Effects Trees. Data 6(7): 74 (2021) - [j10]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) - [c3]Lara Cavinato, Noemi Gozzi, Martina Sollini, Carmelo Carlo-Stella, Arturo Chiti, Francesca Ieva:
Recurrence-specific supervised graph clustering for subtyping Hodgkin Lymphoma radiomic phenotypes. EMBC 2021: 2155-2158 - [c2]Letizia Clementi, Caterina Gregorio, Laura Savaré, Francesca Ieva, Marco D. Santambrogio, Laura M. Sangalli:
A Functional Data Analysis Approach to Left Ventricular Remodeling Assessment. EMBC 2021: 3505-3508 - [c1]Michela Carlotta Massi, Francesca Ieva:
Learning Signal Representations for EEG Cross-Subject Channel Selection and Trial Classification. MLSP 2021: 1-6 - [i3]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) - [i2]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) - [i1]Michela Carlotta Massi, Francesca Ieva:
Learning Signal Representations for EEG Cross-Subject Channel Selection and Trial Classification. CoRR abs/2106.10633 (2021) - 2020
- [j9]Michela Carlotta Massi, Francesca Ieva, Emanuele Lettieri:
Data mining application to healthcare fraud detection: a two-step unsupervised clustering method for outlier detection with administrative databases. BMC Medical Informatics Decis. Mak. 20(1): 160 (2020)
2010 – 2019
- 2019
- [j8]Francesca Ieva, Anna Maria Paganoni, Juan Romo, Nicholas Tarabelloni:
roahd Package: Robust Analysis of High Dimensional Data. R J. 11(2): 291 (2019) - 2018
- [j7]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) - 2017
- [j6]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
- [j5]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) - 2015
- [j4]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
- [j3]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
- [j2]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) - [j1]Laura Azzimonti, Francesca Ieva, Anna Maria Paganoni:
Nonlinear nonparametric mixed-effects models for unsupervised classification. Comput. Stat. 28(4): 1549-1570 (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
Coauthor Index
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