Francesca Ieva

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 25

Top Topics

High Dimensional Data

Outlier Detection

Top Venues

Stat. Anal. Data Min.

BMC Medical Informatics Decis. Mak.

Publications

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) (2024)
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)
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 (2023)
Vittorio Torri, Francesca Ieva
Polimi at CLinkaRT: a Conditional Random Field vs a BERT-based approach. EVALITA (2023)
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 (2023)
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 (2023)
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 (2023)
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) (2023)
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) (2022)
M. S. Savino, Lara Cavinato, G. Costa, F. Fiz, G. Torzilli, L. Viganò, Francesca Ieva
Distant supervision for imaging-based cancer sub-typing in Intrahepatic Cholangiocarcinoma. EMBC (2022)
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) (2022)
Luca Fontana, Chiara Masci, Francesca Ieva, Anna Maria Paganoni
Performing Learning Analytics via Generalised Mixed-Effects Trees. Data 6 (7) (2021)
Michela Carlotta Massi, Francesca Ieva
Learning Signal Representations for EEG Cross-Subject Channel Selection and Trial Classification. MLSP (2021)
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)
Michela Carlotta Massi, Nicola R. Franco, Francesca Ieva, Andrea Manzoni, Anna Maria Paganoni, Paolo Zunino
Learning High-Order Interactions via Targeted Pattern Search. CoRR (2021)
Michela Carlotta Massi, Francesca Ieva
Learning Signal Representations for EEG Cross-Subject Channel Selection and Trial Classification. CoRR (2021)
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) (2021)
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)
Michela Carlotta Massi, Francesca Ieva, Francesca Gasperoni, Anna Maria Paganoni
Feature Selection for Imbalanced Data with Deep Sparse Autoencoders Ensemble. CoRR (2021)
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) (2021)
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) (2020)
Francesca Ieva, Anna Maria Paganoni, Juan Romo, Nicholas Tarabelloni
roahd Package: Robust Analysis of High Dimensional Data. R J. 11 (2) (2019)
Alessandra Guglielmi, Francesca Ieva, Anna Maria Paganoni, Fernardo A. Quintana
A semiparametric Bayesian joint model for multiple mixed-type outcomes: an application to acute myocardial infarction. Adv. Data Anal. Classif. 12 (2) (2018)
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) (2017)
Francesca Ieva, Anna Maria Paganoni, Nicholas Tarabelloni
Covariance-based Clustering in Multivariate and Functional Data Analysis. J. Mach. Learn. Res. 17 (2016)
Francesca Ieva, Anna Maria Paganoni
Discussion of "multivariate functional outlier detection" by M. Hubert, P. Rousseeuw and P. Segaert. Stat. Methods Appl. 24 (2) (2015)
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 (2014)
Laura Azzimonti, Francesca Ieva, Anna Maria Paganoni
Nonlinear nonparametric mixed-effects models for unsupervised classification. Comput. Stat. 28 (4) (2013)
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 (2013)