Detection of Structural Changes in Tachogram Series for the Diagnosis of Atrial Fibrillation Events. - Francesca Ieva; Anna Maria Paganoni; Paolo Zanini (Comput. Math. Methods Medicine, 2013)

Nonlinear nonparametric mixed-effects models for unsupervised classification. - Laura Azzimonti; Francesca Ieva; Anna Maria Paganoni (Comput. Stat., 2013)

Hospital Clustering in the Treatment of Acute Myocardial Infarction Patients Via a Bayesian Semiparametric Approach. - Alessandra Guglielmi; Francesca Ieva; Anna Maria Paganoni; Fabrizio Ruggeri 001 (Statistical Models for Data Analysis, 2013)

A Semiparametric Bivariate Probit Model for Joint Modeling of Outcomes in STEMI Patients. - Francesca Ieva; Giampiero Marra; Anna Maria Paganoni; Rosalba Radice (Comput. Math. Methods Medicine, 2014)

Discussion of "multivariate functional outlier detection" by M. Hubert, P. Rousseeuw and P. Segaert. - Francesca Ieva; Anna Maria Paganoni (Stat. Methods Appl., 2015)

Covariance-based Clustering in Multivariate and Functional Data Analysis. - Francesca Ieva; Anna Maria Paganoni; Nicholas Tarabelloni (J. Mach. Learn. Res., 2016)

Heterogeneity, school-effects and the North/South achievement gap in Italian secondary education: evidence from a three-level mixed model. - Tommaso Agasisti; Francesca Ieva; Anna Maria Paganoni (Stat. Methods Appl., 2017)

A semiparametric Bayesian joint model for multiple mixed-type outcomes: an application to acute myocardial infarction. - Alessandra Guglielmi; Francesca Ieva; Anna Maria Paganoni; Fernando A. Quintana (Adv. Data Anal. Classif., 2018)

roahd Package: Robust Analysis of High Dimensional Data. - Francesca Ieva; Anna Maria Paganoni; Juan Romo; Nicholas Tarabelloni (R J., 2019)

Data mining application to healthcare fraud detection: a two-step unsupervised clustering method for outlier detection with administrative databases. - Michela Carlotta Massi; Francesca Ieva; Emanuele Lettieri (BMC Medical Informatics Decis. Mak., 2020)

Recurrence-specific supervised graph clustering for subtyping Hodgkin Lymphoma radiomic phenotypes. - Lara Cavinato; Noemi Gozzi; Martina Sollini; Carmelo Carlo-Stella; Arturo Chiti; Francesca Ieva (EMBC, 2021)

A Functional Data Analysis Approach to Left Ventricular Remodeling Assessment. - Letizia Clementi; Caterina Gregorio; Laura Savaré; Francesca Ieva; Marco D. Santambrogio; Laura M. Sangalli (EMBC, 2021)

Learning Signal Representations for EEG Cross-Subject Channel Selection and Trial Classification. - Michela Carlotta Massi; Francesca Ieva (MLSP, 2021)

Learning High-Order Interactions via Targeted Pattern Search. - Michela Carlotta Massi; Nicola R. Franco; Francesca Ieva; Andrea Manzoni; Anna Maria Paganoni; Paolo Zunino (CoRR, 2021)

Evaluating class and school effects on the joint student achievements in different subjects: a bivariate semiparametric model with random coefficients. - Chiara Masci; Francesca Ieva; Tommaso Agasisti; Anna Maria Paganoni (Comput. Stat., 2021)

Performing Learning Analytics via Generalised Mixed-Effects Trees. - Luca Fontana; Chiara Masci; Francesca Ieva; Anna Maria Paganoni (Data, 2021)

Generalized mixed-effects random forest: A flexible approach to predict university student dropout. - Massimo Pellagatti; Chiara Masci; Francesca Ieva; Anna Maria Paganoni (Stat. Anal. Data Min., 2021)

Distant supervision for imaging-based cancer sub-typing in Intrahepatic Cholangiocarcinoma. - Matteo Stefano Savino; Lara Cavinato; Guido Costa; Francesco Fiz; Guido Torzilli; Luca Viganò 004; Francesca Ieva (EMBC, 2022)

Feature selection for imbalanced data with deep sparse autoencoders ensemble. - Michela Carlotta Massi; Francesca Gasperoni; Francesca Ieva; Anna Maria Paganoni (Stat. Anal. Data Min., 2022)

A Deep Survival EWAS approach estimating risk profile based on pre-diagnostic DNA methylation: An application to breast cancer time to diagnosis. - Michela Carlotta Massi; Lorenzo Dominoni; Francesca Ieva; Giovanni Fiorito (PLoS Comput. Biol., 2022)

A tissue-aware simulation framework for [18F]FLT spatiotemporal uptake in pancreatic ductal adenocarcinoma. - Lara Cavinato; Jimin Hong; Stefan Reinhard; Martin Wartenberg; Paolo Zunino; Andrea Manzoni; Francesca Ieva; Kuangyu Shi (CIBCB, 2023)

Polimi at CLinkaRT: a Conditional Random Field vs a BERT-based approach. - Vittorio Torri; Francesca Ieva (EVALITA, 2023)

Ask Your Data - Supporting Data Science Processes by Combining AutoML and Conversational Interfaces. - Sara Pidò; Pietro Pinoli; Pietro Crovari; Francesca Ieva; Franca Garzotto; Stefano Ceri (IEEE Access, 2023)

Explainable domain transfer of distant supervised cancer subtyping model via imaging-based rules extraction. - Lara Cavinato; Noemi Gozzi; Martina Sollini; Margarita Kirienko; Carmelo Carlo-Stella; Chiara Rusconi; Arturo Chiti; Francesca Ieva (Artif. Intell. Medicine, 2023)

Mapping Tumor Heterogeneity via Local Entropy Assessment: Making Biomarkers Visible. - Guido Costa; Lara Cavinato; Francesco Fiz; Martina Sollini; Arturo Chiti; Guido Torzilli; Francesca Ieva; Luca Viganò 004 (J. Digit. Imaging, 2023)

Scaling survival analysis in healthcare with federated survival forests: A comparative study on heart failure and breast cancer genomics. - Alberto Archetti; Francesca Ieva; Matteo Matteucci (Future Gener. Comput. Syst., 2023)

DISARM: Disentangled Scanner-Free Image Generation via Unsupervised Image2Image Translation. - 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 (MLCN@MICCAI, 2024)

Weakly-supervised diagnosis identification from Italian discharge letters. - Vittorio Torri; Elisa Barbieri; Anna Cantarutti; Carlo Giaquinto; Francesca Ieva (CoRR, 2024)

Inferential Tools for Assessing Dependence Across Response Categories in Multinomial Models with Discrete Random Effects. - Chiara Masci; Francesca Ieva; Anna Maria Paganoni (J. Classif., 2024)

A NLP-based semi-automatic identification system for delays in follow-up examinations: an Italian case study on clinical referrals. - Vittorio Torri; Michele Ercolanoni; Francesco Bortolan; Olivia Leoni; Francesca Ieva (BMC Medical Informatics Decis. Mak., 2024)

NLP-based assessment of prescription appropriateness from Italian referrals. - Vittorio Torri; Annamaria Bottelli; Michele Ercolanoni; Olivia Leoni; Francesca Ieva (CoRR, 2025)

DISARM++: Beyond scanner-free harmonization. - Luca Caldera; Lara Cavinato; Alessio Cirone; Isabella Cama; Sara Garbarino; Raffaele Lodi; Fabrizio Tagliavini; Anna Nigri; Silvia De Francesco; Andrea Cappozzo; Michele Piana; Francesca Ieva (CoRR, 2025)

Interpretable phenotyping of Heart Failure patients with Dutch discharge letters. - Vittorio Torri; Machteld J. Boonstra; Marielle C. van de Veerdonk; Deborah N. Kalkman; Alicia Uijl; Francesca Ieva; Ameen Abu-Hanna; Folkert W. Asselbergs; Iacer Calixto (CoRR, 2025)