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ORCIDGiovanni Cinà
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- affiliation: University of Amsterdam, Netherlands
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2020 – today
- 2024
[i13]Mohammad Azizmalayeri, Ameen Abu-Hanna, Giovanni Cinà
:
Mitigating Overconfidence in Out-of-Distribution Detection by Capturing Extreme Activations. CoRR abs/2405.12658 (2024)- 2023
- [c6]Giovanni Cinà, Tabea E. Röber, Rob Goedhart, S. Ilker Birbil:
Semantic match: Debugging feature attribution methods in XAI for healthcare. CHIL 2023: 182-190 - [i12]Giovanni Cinà, Tabea E. Röber, Rob Goedhart, S. Ilker Birbil:
Semantic match: Debugging feature attribution methods in XAI for healthcare. CoRR abs/2301.02080 (2023) - [i11]Giovanni Cinà, Daniel Fernandez-Llaneza, Nishant Mishra, Tabea E. Röber, Sandro Pezzelle, Iacer Calixto, Rob Goedhart, S. Ilker Birbil:
Fixing confirmation bias in feature attribution methods via semantic match. CoRR abs/2307.00897 (2023) - [i10]Mohammad Azizmalayeri, Ameen Abu-Hanna, Giovanni Ciná:
Unmasking the Chameleons: A Benchmark for Out-of-Distribution Detection in Medical Tabular Data. CoRR abs/2309.16220 (2023) - [i9]Izak A. R. Yasrebi-de Kom, Joanna E. Klopotowska, Dave Dongelmans, Nicolette de Keizer, Kitty J. Jager, Ameen Abu-Hanna, Giovanni Cinà:
Causal prediction models for medication safety monitoring: The diagnosis of vancomycin-induced acute kidney injury. CoRR abs/2311.09137 (2023) - [i8]Wouter A. C. van Amsterdam, Nan van Geloven, Jesse H. Krijthe, Rajesh Ranganath, Giovanni Ciná:
When accurate prediction models yield harmful self-fulfilling prophecies. CoRR abs/2312.01210 (2023) - 2022
- [c5]Anne De Hond, Ilse M. J. Kant, Mattia Fornasa, Giovanni Cinà, Paul W. G. Elbers, Patrick Thoral, M. Sesmu Arbous, Ewout W. Steyerberg:
Predicting readmission or death after discharge from the ICU: External validation and retraining of a machine learning model. AMIA 2022 - [i7]Giovanni Cinà, Tabea Röber, Rob Goedhart, S. Ilker Birbil:
Why we do need Explainable AI for Healthcare. CoRR abs/2206.15363 (2022) - 2021
- [c4]Dennis Ulmer, Giovanni Cinà:
Know your limits: Uncertainty estimation with ReLU classifiers fails at reliable OOD detection. UAI 2021: 1766-1776 - [i6]Adam Izdebski, Patrick J. Thoral, Robbert C. A. Lalisang, Dean M. McHugh, Robert Entjes, Nardo J. M. van der Meer, Dave A. Dongelmans, Age D. Boelens, Sander Rigter, Stefaan H. A. Hendriks, Remko de Jong, Marlijn J. A. Kamps, Marco A. A. Peters, A. Karakus, Diederik Gommers, Dharmanand Ramnarain, Evert-Jan Wils, Sefanja Achterberg, Ralph Nowitzky, Walter van den Tempel, Cornelis P. C. de Jager, Fleur G. C. A. Nooteboom, Evelien Oostdijk, Peter Koetsier, Alexander D. Cornet, Auke C. Reidinga, Wouter de Ruijter, Rob J. Bosman, Tim Frenzel, Louise C. Urlings-Strop, Paul de Jong, Ellen G. M. Smit, Olaf L. Cremer, Frits H. M. van Osch, Harald J. Faber, Judith Lens, Gert B. Brunnekreef, Barbara Festen-Spanjer, Tom Dormans, Bram Simons, A. A. Rijkeboer, Annemieke Dijkstra, M. Sesmu Arbous, Marcel Aries, Menno Beukema, Rutger van Raalte, Martijn van Tellingen, Niels C. Gritters van den Oever, Paul W. G. Elbers, Giovanni Cinà:
A pragmatic approach to estimating average treatment effects from EHR data: the effect of prone positioning on mechanically ventilated COVID-19 patients. CoRR abs/2109.06707 (2021) - [i5]Karina Zadorozhny, Patrick Thoral, Paul W. G. Elbers, Giovanni Cinà:
Out-of-Distribution Detection for Medical Applications: Guidelines for Practical Evaluation. CoRR abs/2109.14885 (2021) - 2020
- [c3]Dennis Ulmer, Lotta Meijerink, Giovanni Cinà:
Trust Issues: Uncertainty Estimation Does Not Enable Reliable OOD Detection On Medical Tabular Data. ML4H@NeurIPS 2020: 341-354 - [i4]Lotta Meijerink, Giovanni Ciná, Michele Tonutti:
Uncertainty estimation for classification and risk prediction in medical settings. CoRR abs/2004.05824 (2020) - [i3]Dennis Ulmer, Lotta Meijerink, Giovanni Ciná:
Trust Issues: Uncertainty Estimation Does Not Enable Reliable OOD Detection On Medical Tabular Data. CoRR abs/2011.03274 (2020) - [i2]Dennis Ulmer, Giovanni Cinà:
Know Your Limits: Monotonicity & Softmax Make Neural Classifiers Overconfident on OOD Data. CoRR abs/2012.05329 (2020)
2010 – 2019
- 2019
- [i1]David Ruhe, Giovanni Ciná, Michele Tonutti, Daan P. de Bruin, Paul W. G. Elbers:
Bayesian Modelling in Practice: Using Uncertainty to Improve Trustworthiness in Medical Applications. CoRR abs/1906.08619 (2019) - 2018
- [j2]Alexandru Baltag, Giovanni Ciná:
Bisimulation for Conditional Modalities. Stud Logica 106(1): 1-33 (2018) - 2017
- [c2]Giovanni Ciná:
A Characterization Theorem for Trackable Updates. LORI 2017: 94-107 - 2016
- [j1]Giovanni Ciná, Ulle Endriss:
Proving classical theorems of social choice theory in modal logic. Auton. Agents Multi Agent Syst. 30(5): 963-989 (2016) - 2015
- [c1]Giovanni Ciná, Ulle Endriss:
A Syntactic Proof of Arrow's Theorem in a Modal Logic of Social Choice Functions. AAMAS 2015: 1009-1017
Coauthor Index
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