HOLMES, JOHN HEISLER

HOLMES, JOHN HEISLER  

DIPARTIMENTO DI INFORMATICA  

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A manifesto on explainability for artificial intelligence in medicine. 1-gen-2022 Combi, Carlo; Amico, Beatrice; Bellazzi, Riccardo; Holzinger, Andreas; Moore, Jason H.; Zitnik, Marinka; Holmes, John H.
A Reproducible ETL Approach for Window-based Prediction of Acute Kidney Injury in Critical Care Unit and Some Preliminary Results with Support Vector Machines 1-gen-2021 Chiorean, Isabela A.; Amico, Beatrice; Combi, Carlo; Holmes, John H.
Acute Kidney Injury Prediction with Gradient Boosting Decision Trees enriched with Temporal Features 1-gen-2022 Golovco, Stela; Mantovani, Matteo; Combi, Carlo; Holmes, John H.
Explainable Artificial Intelligence (XAI): Current Approaches and Paths to the Future 1-gen-2020 Holmes, John H.; Bellazzi, Riccardo; Combi, Carlo; Moore, Jason H.; Peek, Niels
Resuming HealthCare Informatics Research after CoViD-19: the HealthCare System Perspective 1-gen-2023 Combi, Carlo; Facelli, Julio C.; Haddawy, Peter; Holmes, John H.; Koch, Sabine; Liu, Hongfang; Meyer, Jochen; Peleg, Mor; Pozzi, Giuseppe; Stiglic, Gregor; Veltri, Pierangelo; Yang, Christopher C.
The IHI Rochester Report 2022 on Healthcare Informatics Research: Resuming After the CoViD-19 1-gen-2023 Combi, C; Facelli, Jc; Haddawy, P; Holmes, Jh; Koch, S; Liu, Hf; Meyer, J; Peleg, M; Pozzi, G; Stiglic, G; Veltri, P; Yang, Cc