Francesca Ieva

39 papers C 1Journal 31Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	SNPgen: Phenotype-Supervised Genotype Representation and Synthetic Data Generation via Latent Diffusion. CoRR Andrea Lampis, Michela Carlotta Massi, Nicola Pirastu, Francesca Ieva, Matteo Matteucci, Emanuele Di Angelantonio
2025	J	`jnl`	A neural-network approach for predicting time to cardiovascular diseases in HIV patients based on real-world data. Oper. Res. Agostino Lurani Cernuschi, Chiara Masci, Federica Corso, Camilla Muccini, Daniele Ceccarelli, Laura Galli, Francesca Ieva, Antonella Castagna, Anna Maria Paganoni
2025	J	`jnl`	DISARM++: Beyond scanner-free harmonization. CoRR 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
2025	J	`jnl`	Interpretable phenotyping of Heart Failure patients with Dutch discharge letters. CoRR 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
2025	J	`jnl`	NLP-based assessment of prescription appropriateness from Italian referrals. CoRR Vittorio Torri, Annamaria Bottelli, Michele Ercolanoni, Olivia Leoni, Francesca Ieva
2025	J	`jnl`	Scanner-Agnostic MRI Harmonization via SSIM-Guided Disentanglement. CoRR Luca Caldera, Lara Cavinato, Francesca Ieva
2024	J	`jnl`	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. Vittorio Torri, Michele Ercolanoni, Francesco Bortolan, Olivia Leoni, Francesca Ieva
2024	—	`conf`	DISARM: Disentangled Scanner-Free Image Generation via Unsupervised Image2Image Translation. MLCN@MICCAI 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
2024	J	`jnl`	Inferential Tools for Assessing Dependence Across Response Categories in Multinomial Models with Discrete Random Effects. J. Classif. Chiara Masci, Francesca Ieva, Anna Maria Paganoni
2024	J	`jnl`	Weakly-supervised diagnosis identification from Italian discharge letters. CoRR Vittorio Torri, Elisa Barbieri, Anna Cantarutti, Carlo Giaquinto, Francesca Ieva
2023	C	`conf`	A tissue-aware simulation framework for [18F]FLT spatiotemporal uptake in pancreatic ductal adenocarcinoma. CIBCB Lara Cavinato, Jimin Hong, Stefan Reinhard, Martin Wartenberg, Paolo Zunino, Andrea Manzoni, Francesca Ieva, Kuangyu Shi
2023	J	`jnl`	Ask Your Data - Supporting Data Science Processes by Combining AutoML and Conversational Interfaces. IEEE Access Sara Pidò, Pietro Pinoli, Pietro Crovari, Francesca Ieva, Franca Garzotto, Stefano Ceri
2023	J	`jnl`	Explainable domain transfer of distant supervised cancer subtyping model via imaging-based rules extraction. Artif. Intell. Medicine Lara Cavinato, Noemi Gozzi, Martina Sollini, Margarita Kirienko, Carmelo Carlo-Stella, Chiara Rusconi, Arturo Chiti, Francesca Ieva
2023	J	`jnl`	Mapping Tumor Heterogeneity via Local Entropy Assessment: Making Biomarkers Visible. J. Digit. Imaging Guido Costa, Lara Cavinato, Francesco Fiz, Martina Sollini, Arturo Chiti, Guido Torzilli, Francesca Ieva, Luca Viganò
2023	—	`conf`	Polimi at CLinkaRT: a Conditional Random Field vs a BERT-based approach. EVALITA Vittorio Torri, Francesca Ieva
2023	J	`jnl`	Scaling Survival Analysis in Healthcare with Federated Survival Forests: A Comparative Study on Heart Failure and Breast Cancer Genomics. CoRR Alberto Archetti, Francesca Ieva, Matteo Matteucci
2023	J	`jnl`	Scaling survival analysis in healthcare with federated survival forests: A comparative study on heart failure and breast cancer genomics. Future Gener. Comput. Syst. Alberto Archetti, Francesca Ieva, Matteo Matteucci
2022	J	`jnl`	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. Michela Carlotta Massi, Lorenzo Dominoni, Francesca Ieva, Giovanni Fiorito
2022	—	`conf`	Distant supervision for imaging-based cancer sub-typing in Intrahepatic Cholangiocarcinoma. EMBC Matteo Stefano Savino, Lara Cavinato, Guido Costa, Francesco Fiz, Guido Torzilli, Luca Viganò, Francesca Ieva
2022	J	`jnl`	Feature selection for imbalanced data with deep sparse autoencoders ensemble. Stat. Anal. Data Min. Michela Carlotta Massi, Francesca Gasperoni, Francesca Ieva, Anna Maria Paganoni
2021	—	`conf`	A Functional Data Analysis Approach to Left Ventricular Remodeling Assessment. EMBC Letizia Clementi, Caterina Gregorio, Laura Savaré, Francesca Ieva, Marco D. Santambrogio, Laura M. Sangalli
2021	J	`jnl`	Evaluating class and school effects on the joint student achievements in different subjects: a bivariate semiparametric model with random coefficients. Comput. Stat. Chiara Masci, Francesca Ieva, Tommaso Agasisti, Anna Maria Paganoni
2021	J	`jnl`	Feature Selection for Imbalanced Data with Deep Sparse Autoencoders Ensemble. CoRR Michela Carlotta Massi, Francesca Ieva, Francesca Gasperoni, Anna Maria Paganoni
2021	J	`jnl`	Generalized mixed-effects random forest: A flexible approach to predict university student dropout. Stat. Anal. Data Min. Massimo Pellagatti, Chiara Masci, Francesca Ieva, Anna Maria Paganoni
2021	J	`jnl`	Learning High-Order Interactions via Targeted Pattern Search. CoRR Michela Carlotta Massi, Nicola R. Franco, Francesca Ieva, Andrea Manzoni, Anna Maria Paganoni, Paolo Zunino
2021	—	`conf`	Learning Signal Representations for EEG Cross-Subject Channel Selection and Trial Classification. MLSP Michela Carlotta Massi, Francesca Ieva
2021	J	`jnl`	Learning Signal Representations for EEG Cross-Subject Channel Selection and Trial Classification. CoRR Michela Carlotta Massi, Francesca Ieva
2021	J	`jnl`	Performing Learning Analytics via Generalised Mixed-Effects Trees. Data Luca Fontana, Chiara Masci, Francesca Ieva, Anna Maria Paganoni
2021	—	`conf`	Recurrence-specific supervised graph clustering for subtyping Hodgkin Lymphoma radiomic phenotypes. EMBC Lara Cavinato, Noemi Gozzi, Martina Sollini, Carmelo Carlo-Stella, Arturo Chiti, Francesca Ieva
2020	J	`jnl`	Data mining application to healthcare fraud detection: a two-step unsupervised clustering method for outlier detection with administrative databases. BMC Medical Informatics Decis. Mak. Michela Carlotta Massi, Francesca Ieva, Emanuele Lettieri
2019	J	`jnl`	roahd Package: Robust Analysis of High Dimensional Data. R J. Francesca Ieva, Anna Maria Paganoni, Juan Romo, Nicholas Tarabelloni
2018	J	`jnl`	A semiparametric Bayesian joint model for multiple mixed-type outcomes: an application to acute myocardial infarction. Adv. Data Anal. Classif. Alessandra Guglielmi, Francesca Ieva, Anna Maria Paganoni, Fernando A. Quintana
2017	J	`jnl`	Heterogeneity, school-effects and the North/South achievement gap in Italian secondary education: evidence from a three-level mixed model. Stat. Methods Appl. Tommaso Agasisti, Francesca Ieva, Anna Maria Paganoni
2016	J	`jnl`	Covariance-based Clustering in Multivariate and Functional Data Analysis. J. Mach. Learn. Res. Francesca Ieva, Anna Maria Paganoni, Nicholas Tarabelloni
2015	J	`jnl`	Discussion of "multivariate functional outlier detection" by M. Hubert, P. Rousseeuw and P. Segaert. Stat. Methods Appl. Francesca Ieva, Anna Maria Paganoni
2014	J	`jnl`	A Semiparametric Bivariate Probit Model for Joint Modeling of Outcomes in STEMI Patients. Comput. Math. Methods Medicine Francesca Ieva, Giampiero Marra, Anna Maria Paganoni, Rosalba Radice
2013	J	`jnl`	Detection of Structural Changes in Tachogram Series for the Diagnosis of Atrial Fibrillation Events. Comput. Math. Methods Medicine Francesca Ieva, Anna Maria Paganoni, Paolo Zanini
2013	—	`ch.`	Hospital Clustering in the Treatment of Acute Myocardial Infarction Patients Via a Bayesian Semiparametric Approach. Statistical Models for Data Analysis Alessandra Guglielmi, Francesca Ieva, Anna Maria Paganoni, Fabrizio Ruggeri
2013	J	`jnl`	Nonlinear nonparametric mixed-effects models for unsupervised classification. Comput. Stat. Laura Azzimonti, Francesca Ieva, Anna Maria Paganoni