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CABITZA, FEDERICO ANTONIO NICCOLO' AMEDEO

CABITZA, FEDERICO ANTONIO NICCOLO' AMEDEO  

DIPARTIMENTO DI INFORMATICA, SISTEMISTICA E COMUNICAZIONE  

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Risultati 1 - 20 di 191 (tempo di esecuzione: 0.014 secondi).
Titolo Tipologia Data di pubblicazione Autori File
Quod erat demonstrandum? - Towards a typology of the concept of explanation for the design of explainable AI 01 - Articolo su rivista 2023 Cabitza F.Campagner A.Natali C. +
Aggregation models in ensemble learning: A large-scale comparison 01 - Articolo su rivista 2023 Campagner A.Ciucci D.Cabitza F.
The unbearable (technical) unreliability of automated facial emotion recognition 01 - Articolo su rivista 2022 Cabitza, FCampagner, A +
The multicenter European Biological Variation Study (EuBIVAS): A new glance provided by the Principal Component Analysis (PCA), a machine learning unsupervised algorithms, based on the basic metabolic panel linked measurands 01 - Articolo su rivista 2022 Campagner A.Banfi G.Cabitza F. +
A Confidence Interval-Based Method for Classifier Re-Calibration 02 - Intervento a convegno 2022 Campagner A.Famiglini L.Cabitza F.
A robust and parsimonious machine learning method to predict ICU admission of COVID-19 patients 01 - Articolo su rivista 2022 Famiglini, LCampagner, ACabitza, F +
Re-calibrating Machine Learning Models Using Confidence Interval Bounds 02 - Intervento a convegno 2022 Campagner A.Famiglini L.Cabitza F.
Global Interpretable Calibration Index, a New Metric to Estimate Machine Learning Models’ Calibration 02 - Intervento a convegno 2022 Cabitza F.Campagner A.Famiglini L.
Application of Machine Learning to Improve Appropriateness of Treatment in an Orthopaedic Setting of Personalized Medicine 01 - Articolo su rivista 2022 Milella, FridaFamiglini, LorenzoBanfi, GiuseppeCabitza, Federico
How is test laboratory data used and characterised by machine learning models? A systematic review of diagnostic and prognostic models developed for COVID-19 patients using only laboratory data 01 - Articolo su rivista 2022 Milella, FridaFamiglini, LorenzoCabitza, Federico +
Detecting the Effect Size of Weather Conditions on Patient-Reported Outcome Measures (PROMs) 01 - Articolo su rivista 2022 Milella, FridaSeveso, AndreaFamiglini, LorenzoBanfi, GiuseppeCabitza, Federico
Comparing Handcrafted Features and Deep Neural Representations for Domain Generalization in Human Activity Recognition 01 - Articolo su rivista 2022 Campagner A.Cabitza F. +
Color Shadows (Part I): Exploratory Usability Evaluation of Activation Maps in Radiological Machine Learning 02 - Intervento a convegno 2022 Cabitza F.Campagner A.Famiglini L. +
Decisions are not all equal—Introducing a utility metric based on case-wise raters’ perceptions 01 - Articolo su rivista 2022 Campagner A.Cabitza F. +
Development, evaluation, and validation of machine learning models for COVID-19 detection based on routine blood tests 01 - Articolo su rivista 2021 Cabitza F.Campagner A. +
Three-way decision and conformal prediction: Isomorphisms, differences and theoretical properties of cautious learning approaches 01 - Articolo su rivista 2021 Campagner A.Cabitza F.Ciucci D. +
Unity is intelligence: a collective intelligence experiment on ecg reading to improve diagnostic performance in cardiology 01 - Articolo su rivista 2021 Campagner A.Cabitza F. +
Weighted Utility: A Utility Metric Based on the Case-Wise Raters’ Perceptions 02 - Intervento a convegno 2021 Campagner A.Cabitza F. +
Machine Learning based on laboratory medicine test results in diagnosis and prognosis for COVID-19 patients: A systematic review 01 - Articolo su rivista 2021 Campagner A.Cabitza F. +
The importance of being external. methodological insights for the external validation of machine learning models in medicine 01 - Articolo su rivista 2021 Cabitza F.Campagner A.Sulejmani A. +