Sfoglia per Autore  

Opzioni
Mostrati risultati da 1 a 20 di 200
Titolo Tipologia Data di pubblicazione Autori File
How to promote digital health technologies in the GDPR era: the HIBAD experience 01 - Articolo su rivista 2023 Cabitza, FedericoGaleone, CarlottaMariani, PaoloNobile, Maria +
Painting the Black Box White: Experimental Findings from Applying XAI to an ECG Reading Setting 01 - Articolo su rivista 2023 Cabitza F.Campagner A.Natali C. +
The Effect of Holographic Heart Models and Mixed Reality for Anatomy Learning in Congenital Heart Disease: An Exploratory Study 01 - Articolo su rivista 2023 Cabitza F. +
AI Shall Have No Dominion: on How to Measure Technology Dominance in AI-supported Human decision-making 03 - Contributo in libro 2023 Cabitza, FedericoCampagner, AndreaAngius, RiccardoNatali, ChiaraReverberi, Franco
Assessment of Fast-Track Pathway in Hip and Knee Replacement Surgery by Propensity Score Matching on Patient-Reported Outcomes 01 - Articolo su rivista 2023 Campagner A.Milella F.Cabitza F. +
Rams, hounds and white boxes: Investigating human–AI collaboration protocols in medical diagnosis 01 - Articolo su rivista 2023 Cabitza F.Campagner A. +
Aggregation models in ensemble learning: A large-scale comparison 01 - Articolo su rivista 2023 Campagner A.Ciucci D.Cabitza F.
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. +
Everything is varied: The surprising impact of instantial variation on ML reliability 01 - Articolo su rivista 2023 Campagner, AndreaFamiglini, LorenzoCabitza, Federico +
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 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 +
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 +
Decisions are not all equal—Introducing a utility metric based on case-wise raters’ perceptions 01 - Articolo su rivista 2022 Campagner A.Cabitza F. +
Re-calibrating Machine Learning Models Using Confidence Interval Bounds 02 - Intervento a convegno 2022 Campagner A.Famiglini L.Cabitza F.
The unbearable (technical) unreliability of automated facial emotion recognition 01 - Articolo su rivista 2022 Cabitza, FCampagner, A +
A robust and parsimonious machine learning method to predict ICU admission of COVID-19 patients 01 - Articolo su rivista 2022 Famiglini, LCampagner, ACabitza, F +
Comparing Handcrafted Features and Deep Neural Representations for Domain Generalization in Human Activity Recognition 01 - Articolo su rivista 2022 Campagner A.Cabitza F. +
A Confidence Interval-Based Method for Classifier Re-Calibration 02 - Intervento a convegno 2022 Campagner A.Famiglini L.Cabitza F.
Detecting the Effect Size of Weather Conditions on Patient-Reported Outcome Measures (PROMs) 01 - Articolo su rivista 2022 Milella, FridaSeveso, AndreaFamiglini, LorenzoBanfi, GiuseppeCabitza, Federico
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
Mostrati risultati da 1 a 20 di 200
Legenda icone

  •  file ad accesso aperto
  •  file disponibili sulla rete interna
  •  file disponibili agli utenti autorizzati
  •  file disponibili solo agli amministratori
  •  file sotto embargo
  •  nessun file disponibile