Sfoglia per Autore
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]
2021 Carobene, A; Campagner, A; Sulejmani, A; Leoni, V; Seghezzi, M; Buoro, S; Cabitza, F
Interpretable heartbeat classification using local model-agnostic explanations on ECGs
2021 Neves, I; Folgado, D; Santos, S; Barandas, M; Campagner, A; Ronzio, L; Cabitza, F; Gamboa, H
Applications of deep learning in dentistry
2021 Corbella, S; Srinivas, S; Cabitza, F
Machine Learning based on laboratory medicine test results in diagnosis and prognosis for COVID-19 patients: A systematic review
2021 Carobene, A; Sabetta, E; Monteverde, E; Locatelli, M; Banfi, G; Di Resta, C; Guerranti, R; Vidali, M; Campagner, A; Cabitza, F
Ground truthing from multi-rater labeling with three-way decision and possibility theory
2021 Campagner, A; Ciucci, D; Svensson, C; Figge, M; Cabitza, F
The need to separate the wheat from the chaff in medical informatics: Introducing a comprehensive checklist for the (self)-assessment of medical AI studies
2021 Cabitza, F; Campagner, A
The importance of being external. methodological insights for the external validation of machine learning models in medicine
2021 Cabitza, F; Campagner, A; Soares, F; Garcia de Guadiana-Romualdo, L; Challa, F; Sulejmani, A; Seghezzi, M; Carobene, A
Bridging the "last mile" gap between AI implementation and operation: "data awareness" that matters
2020 Cabitza, F; Campagner, A; Balsano, C
Artificial intelligence-based tools to control healthcare associated infections: A systematic review of the literature
2020 Scardoni, A; Balzarini, F; Signorelli, C; Cabitza, F; Odone, A
La Scienza Dei Dati
2020 Batini, C; Cabitza, F; Cherubini, P; Ferrari, A; Masiero, R; Maurino, A; Palmonari, M; Stella, F
As if sand were stone. New concepts and metrics to probe the ground on which to build trustable AI
2020 Cabitza, F; Campagner, A; Sconfienza, L
The elephant in the machine: Proposing a new metric of data reliability and its application to a medical case to assess classification reliability
2020 Cabitza, F; Campagner, A; Albano, D; Aliprandi, A; Bruno, A; Chianca, V; Corazza, A; Pietto, F; Gambino, A; Gitto, S; Messina, C; Orlandi, D; Pedone, L; Zappia, M; Sconfienza, L
Evidence of significant difference in key covid-19 biomarkers during the italian lockdown strategy. A retrospective study on patients admitted to a hospital emergency department in northern italy
2020 Carobene, A; Ferrari, D; Campagner, A; Cabitza, F; Sabetta, E; Ceriotti, D; Di Resta, C; Locatelli, M
Developing a machine learning model for predicting postnatal growth in very low birth weight infants
2020 Cabitza, F; Ventura, M; Tagliabue, P; Bozzetti, V; Seveso, A
Ensemble learning, social choice and collective intelligence: An experimental comparison of aggregation techniques
2020 Campagner, A; Ciucci, D; Cabitza, F
Assessment and prediction of spine surgery invasiveness with machine learning techniques
2020 Campagner, A; Berjano, P; Lamartina, C; Langella, F; Lombardi, G; Cabitza, F
Ordinal labels in machine learning: a user-centered approach to improve data validity in medical settings
2020 Seveso, A; Campagner, A; Ciucci, D; Cabitza, F
Back to the Feature: A Neural-Symbolic Perspective on Explainable AI
2020 Campagner, A; Cabitza, F
Routine blood tests as an active surveillance to monitor COVID-19 prevalence. A retrospective study
2020 Ferrari, D; Cabitza, F; Carobene, A; Locatelli, M
Trading off between control and autonomy: a narrative review around de-design
2020 Cabitza, F; Locoro, A; Ravarini, A
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