Francesca Ieva

Orcid: 0000-0003-0165-1983

According to our database1, Francesca Ieva authored at least 26 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Scaling survival analysis in healthcare with federated survival forests: A comparative study on heart failure and breast cancer genomics.
Future Gener. Comput. Syst., December, 2023

Mapping Tumor Heterogeneity via Local Entropy Assessment: Making Biomarkers Visible.
J. Digit. Imaging, June, 2023

Explainable domain transfer of distant supervised cancer subtyping model via imaging-based rules extraction.
Artif. Intell. Medicine, 2023

Ask Your Data - Supporting Data Science Processes by Combining AutoML and Conversational Interfaces.
IEEE Access, 2023

Polimi at CLinkaRT: a Conditional Random Field vs a BERT-based approach.
Proceedings of the Eighth Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2023), 2023

A tissue-aware simulation framework for [18F]FLT spatiotemporal uptake in pancreatic ductal adenocarcinoma.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2023

2022
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., September, 2022

Feature selection for imbalanced data with deep sparse autoencoders ensemble.
Stat. Anal. Data Min., 2022

Distant supervision for imaging-based cancer sub-typing in Intrahepatic Cholangiocarcinoma.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021
Generalized mixed-effects random forest: A flexible approach to predict university student dropout.
Stat. Anal. Data Min., 2021

Performing Learning Analytics via Generalised Mixed-Effects Trees.
Data, 2021

Evaluating class and school effects on the joint student achievements in different subjects: a bivariate semiparametric model with random coefficients.
Comput. Stat., 2021

Learning High-Order Interactions via Targeted Pattern Search.
CoRR, 2021

Learning Signal Representations for EEG Cross-Subject Channel Selection and Trial Classification.
Proceedings of the 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021

A Functional Data Analysis Approach to Left Ventricular Remodeling Assessment.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Recurrence-specific supervised graph clustering for subtyping Hodgkin Lymphoma radiomic phenotypes.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
Data mining application to healthcare fraud detection: a two-step unsupervised clustering method for outlier detection with administrative databases.
BMC Medical Informatics Decis. Mak., 2020

2019
roahd Package: Robust Analysis of High Dimensional Data.
R J., 2019

2018
A semiparametric Bayesian joint model for multiple mixed-type outcomes: an application to acute myocardial infarction.
Adv. Data Anal. Classif., 2018

2017
Heterogeneity, school-effects and the North/South achievement gap in Italian secondary education: evidence from a three-level mixed model.
Stat. Methods Appl., 2017

2016
Covariance-based Clustering in Multivariate and Functional Data Analysis.
J. Mach. Learn. Res., 2016

2015
Discussion of "multivariate functional outlier detection" by M. Hubert, P. Rousseeuw and P. Segaert.
Stat. Methods Appl., 2015

2014
A Semiparametric Bivariate Probit Model for Joint Modeling of Outcomes in STEMI Patients.
Comput. Math. Methods Medicine, 2014

2013
Hospital Clustering in the Treatment of Acute Myocardial Infarction Patients Via a Bayesian Semiparametric Approach.
Proceedings of the Statistical Models for Data Analysis, 2013

Nonlinear nonparametric mixed-effects models for unsupervised classification.
Comput. Stat., 2013

Detection of Structural Changes in Tachogram Series for the Diagnosis of Atrial Fibrillation Events.
Comput. Math. Methods Medicine, 2013


  Loading...