Claudio Fanconi

202020212022202320242 3 18 44 24

Tina Hernandez-BoussardAssociate Dean of Research, Professor of Medicine, Stanford UniversityVerified email at stanford.edu
Angelo CapodiciUniversity of Bologna & Sant'Anna University (Pisa)Verified email at santannapisa.it
Francesco SanmarchiMD, University of Bologna, AUSL BolognaVerified email at studio.unibo.it
Rahul RadeEthonAIVerified email at ethon.ai
Jonas KohlerETH ZürichVerified email at inf.ethz.ch
Marieke M. van BuchemStanford University/Leiden University Medical CenterVerified email at lumc.nl
Anne de HondAssistant professor Julius Centre, University Medical Centre UtrechtVerified email at umcutrecht.nl
Dylan Joseph PetersonMedical Student, Stanford UniversityVerified email at stanford.edu
Moritz VandenhirtzPhD student, ETH ZurichVerified email at ethz.ch
Julia E VogtETH ZurichVerified email at inf.ethz.ch
Douglas BlayneyProfessor of Medicine (Oncology), emeritusVerified email at stanford.edu
Ewout W. SteyerbergProfessor of Clinical Biostatistics and Medical Decision Making, LUMC & Erasmus MCVerified email at lumc.nl
Ilse KantTeam Lead Applied Data Science, UMC UtrechtVerified email at umcutrecht.nl

Claudio Fanconi

Verified email at cam.ac.uk - Homepage


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This looks like that... does it? Shortcomings of latent space prototype interpretability in deep networks A Hoffmann, C Fanconi, R Rade, J Kohler ICML 2021 Workshop on Theoretic Foundation, Criticism, and Application Trend …, 2021	48	2021
Predict, diagnose, and treat chronic kidney disease with machine learning: a systematic literature review F Sanmarchi, C Fanconi, D Golinelli, D Gori, T Hernandez-Boussard, ... Journal of nephrology 36 (4), 1101-1117, 2023	24	2023
Skin Cancer Toy Dataset: Malignant vs. Benign C Fanconi Kaggle Datasets, 2019	17*	2019
Natural Language Processing Methods to Identify Oncology Patients at High Risk for Acute Care with Clinical Notes C Fanconi, M van Buchem, T Hernandez-Boussard AMIA 2023 Informatics Summit, 138-147, 2023	2	2023
A Bayesian approach to predictive uncertainty in chemotherapy patients at risk of acute care utilization C Fanconi, A de Hond, D Peterson, A Capodici, T Hernandez-Boussard EBioMedicine 92, 2023	1	2023
Predicting Depression Risk in Patients With Cancer Using Multimodal Data: Algorithm Development Study A de Hond, M van Buchem, C Fanconi, M Roy, D Blayney, I Kant, ... JMIR Medical Informatics 12 (1), e51925, 2024		2024
This Reads Like That: Deep Learning for Interpretable Natural Language Processing C Fanconi, M Vandenhirtz, S Husmann, JE Vogt Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023		2023

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