Giovanni Cinà

According to our database, Giovanni Cinà authored at least 26 papers between 2015 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Rethinking external validation for the target population: Capturing patient-level similarity with a generative model.

Mohammad Azizmalayeri, Ameen Abu-Hanna, Saskia Houterman, Marije M. Vis, Giovanni Cinà

CoRR, May, 2026

Is my model perplexed for the right reason? Contrasting LLMs' Benchmark Behavior with Token-Level Perplexity.

Zoë Prins, Samuele Punzo, Frank Wildenburg, Giovanni Cinà, Sandro Pezzelle

CoRR, March, 2026

A Causal Framework for Evaluating ICU Discharge Strategies.

Sagar Nagaraj Simha, Juliette Ortholand, Dave Dongelmans, Jessica D. Workum, Olivier W. M. Thijssens, Ameen Abu-Hanna, Giovanni Cinà

CoRR, March, 2026

Improving TabPFN's Synthetic Data Generation by Integrating Causal Structure.

Davide Tugnoli, Andrea De Lorenzo, Marco Virgolin, Giovanni Cinà

CoRR, March, 2026

2-Step Agent: A Framework for the Interaction of a Decision Maker with AI Decision Support.

Otto Nyberg, Fausto Carcassi, Giovanni Cinà

CoRR, February, 2026

2025

Inducing Causal Structure for Interpretable Neural Networks Applied to Glucose Prediction for T1DM Patients.

Ana Esponera, Giovanni Cinà

CoRR, March, 2025

When accurate prediction models yield harmful self-fulfilling prophecies.

Wouter A. C. van Amsterdam, Nan van Geloven, Jesse H. Krijthe, Rajesh Ranganath, Giovanni Cinà

Patterns, 2025

Unmasking the chameleons: A benchmark for out-of-distribution detection in medical tabular data.

Mohammad Azizmalayeri, Ameen Abu-Hanna, Giovanni Cinà

Int. J. Medical Informatics, 2025

Inducing Causal Structure Applied to Glucose Prediction for T1DM Patients.

Ana Esponera, Giovanni Cinà

Proceedings of the Causal Learning and Reasoning, Lausanne, Switzerland, 7-9 May 2025., 2025

2024

Mitigating Overconfidence in Out-of-Distribution Detection by Capturing Extreme Activations.

Mohammad Azizmalayeri, Ameen Abu-Hanna, Giovanni Cinà

Proceedings of the Uncertainty in Artificial Intelligence, 2024

2023

Causal prediction models for medication safety monitoring: The diagnosis of vancomycin-induced acute kidney injury.

Izak A. R. Yasrebi-de Kom, Joanna E. Klopotowska, Dave Dongelmans, Nicolette de Keizer, Kitty J. Jager, Ameen Abu-Hanna, Giovanni Cinà

CoRR, 2023

Fixing confirmation bias in feature attribution methods via semantic match.

Giovanni Cinà, Daniel Fernandez-Llaneza, Nishant Mishra, Tabea E. Röber, Sandro Pezzelle, Iacer Calixto, Rob Goedhart, S. Ilker Birbil

CoRR, 2023

Semantic match: Debugging feature attribution methods in XAI for healthcare.

Giovanni Cinà, Tabea E. Röber, Rob Goedhart, S. Ilker Birbil

Proceedings of the Conference on Health, Inference, and Learning, 2023

2022

Why we do need Explainable AI for Healthcare.

Giovanni Cinà, Tabea Röber, Rob Goedhart, S. Ilker Birbil

CoRR, 2022

Predicting readmission or death after discharge from the ICU: External validation and retraining of a machine learning model.

Anne De Hond, Ilse M. J. Kant, Mattia Fornasa, Giovanni Cinà, Paul W. G. Elbers, Patrick Thoral, M. Sesmu Arbous, Ewout W. Steyerberg

Proceedings of the AMIA 2022, 2022

2021

Out-of-Distribution Detection for Medical Applications: Guidelines for Practical Evaluation.

Karina Zadorozhny, Patrick Thoral, Paul W. G. Elbers, Giovanni Cinà

CoRR, 2021

A pragmatic approach to estimating average treatment effects from EHR data: the effect of prone positioning on mechanically ventilated COVID-19 patients.

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

CoRR, 2021

Know your limits: Uncertainty estimation with ReLU classifiers fails at reliable OOD detection.

Dennis Ulmer, Giovanni Cinà

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

2020

Know Your Limits: Monotonicity & Softmax Make Neural Classifiers Overconfident on OOD Data.

Dennis Ulmer, Giovanni Cinà

CoRR, 2020

Uncertainty estimation for classification and risk prediction in medical settings.

Lotta Meijerink, Giovanni Ciná, Michele Tonutti

CoRR, 2020

Trust Issues: Uncertainty Estimation Does Not Enable Reliable OOD Detection On Medical Tabular Data.

Dennis Ulmer, Lotta Meijerink, Giovanni Cinà

Proceedings of the Machine Learning for Health Workshop, 2020

2019

Bayesian Modelling in Practice: Using Uncertainty to Improve Trustworthiness in Medical Applications.

David Ruhe, Giovanni Ciná, Michele Tonutti, Daan P. de Bruin, Paul W. G. Elbers

CoRR, 2019

2018

Bisimulation for Conditional Modalities.

Alexandru Baltag, Giovanni Ciná

Stud Logica, 2018

2017

A Characterization Theorem for Trackable Updates.

Giovanni Ciná

Proceedings of the Logic, Rationality, and Interaction - 6th International Workshop, 2017

2016

Proving classical theorems of social choice theory in modal logic.

Giovanni Ciná, Ulle Endriss

Auton. Agents Multi Agent Syst., 2016

2015

A Syntactic Proof of Arrow's Theorem in a Modal Logic of Social Choice Functions.

Giovanni Ciná, Ulle Endriss

Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015