E-LIB Suche - Ergebnisse für: Rotalinti, Ylenia - Sprache DE

Personensuche X

Sortierung: Relevanz

Sortierung: Jahr

1

Predicting Performance Drift in AI Models of Healthcare Wit..:

, In: Lecture Notes in Computer Science; Advances in Intelligent Data Analysis XXII,

Rotalinti, Ylenia ; Myles, Puja ; Tucker, Allan - p. 167-178 , 2024

Link: https://doi.org/10.1007/..

2

Privacy Assessment of Synthetic Patient Data:

, In: 2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS),

Nezhad, Ferdoos Hossein ; Rotalinti, Ylenia ; Myles, Puja. - p. 1-6 , 2023

Link: https://doi.org/10.1109/..

3

The Impact of Bias on Drift Detection in AI Health Software:

, In: Artificial Intelligence in Medicine; Lecture Notes in Computer Science,

Khoshravan Azar, Asal ; Draghi, Barbara ; Rotalinti, Ylenia.. - p. 313-322 , 2023

Link: https://doi.org/10.1007/..

4

Detecting Drift in Healthcare AI Models Based on Data Avail..:

, In: Communications in Computer and Information Science; Machine Learning and Principles and Practice of Knowledge Discovery in Databases,

Rotalinti, Ylenia ; Tucker, Allan ; Lonergan, Michael.. - p. 243-258 , 2023

Link: https://doi.org/10.1007/..

5

Generating high-fidelity synthetic patient data for assessi..:

Tucker, Allan ; Wang, Zhenchen ; Rotalinti, Ylenia.
npj Digital Medicine. 3 (2020) 1 - p. , 2020

Link: https://doi.org/10.1038/..

6

High-Fidelity Synthetic Data Applications for Data Augmenta..:

Wang, Zhenchen ; Draghi, Barbara ; Rotalinti, Ylenia..
ISBN:978-1-83768-322-2. , 2024

Link: https://mts.intechopen.c..

7

Generating high-fidelity synthetic patient data for assessi..:

Tucker, Allan ; Wang, Zhenchen ; Rotalinti, Ylenia.
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7653933/. , 2020

Link: http://www.ncbi.nlm.nih...

8

Generating high-fidelity synthetic patient data for assessi..:

Allan Tucker ; Zhenchen Wang ; Ylenia Rotalinti.
https://doi.org/10.1038/s41746-020-00353-9. , 2020

Link: https://doi.org/10.1038/..

1-8