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Titolo Tipologia Data di pubblicazione Autori File
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
Re-calibrating Machine Learning Models Using Confidence Interval Bounds 02 - Intervento a convegno 2022 Campagner A.Famiglini L.Cabitza F.
A parsimonious machine learning approach to detect inappropriate treatments in spine surgery on the basis of patient-reported outcomes 02 - Intervento a convegno 2022 Famiglini, LMilella, FCabitza, F +
The unbearable (technical) unreliability of automated facial emotion recognition 01 - Articolo su rivista 2022 Cabitza, FCampagner, A +
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. +
To Err is (only) Human. Reflections on How to Move from Accuracy to Trust for Medical AI 02 - Intervento a convegno 2021 Cabitza, FCampagner, ADatteri, E
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. +
Assessing the impact of medical AI: A survey of physicians' perceptions 02 - Intervento a convegno 2021 Cabitza F.Campagner A. +
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. +
Identification of SARS-CoV-2 positivity using machine learning methods on blood count data: External validation of state-of-the-art models. [Identificazione di positività al SARS-CoV-2 attraverso metodi di Machine Learning sui dati dell'esame emocromocitometrico: Validazione esterna di modelli allo stato dell'arte] 01 - Articolo su rivista 2021 Campagner A.Sulejmani A.Leoni V.Cabitza F. +
Ground truthing from multi-rater labeling with three-way decision and possibility theory 01 - Articolo su rivista 2021 Campagner A.Ciucci D.Cabitza F. +
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. +
Prediction of ICU admission for COVID-19 patients: A machine learning approach based on complete blood count data 02 - Intervento a convegno 2021 Famiglini L.Campagner A.Cabitza F. +
The need to move away from agential-AI: Empirical investigations, useful concepts and open issues 01 - Articolo su rivista 2021 Cabitza F.Campagner A.Simone C.
External validation of Machine Learning models for COVID-19 detection based on Complete Blood Count 01 - Articolo su rivista 2021 Campagner, ACabitza, F +
Weighted Utility: A Utility Metric Based on the Case-Wise Raters’ Perceptions 02 - Intervento a convegno 2021 Campagner A.Cabitza F. +
Studying human-AI collaboration protocols: the case of the Kasparov's law in radiological double reading 01 - Articolo su rivista 2021 Cabitza, FedericoCampagner, Andrea +
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. +
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. +
Mostrati risultati da 21 a 40 di 203
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