E-LIB Suche - Ergebnisse für: Gruen, Daniel M.

1

Informing clinical assessment by contextualizing post-hoc e..:

Chari, Shruthi ; Acharya, Prasant ; Gruen, Daniel M....
Artificial Intelligence in Medicine. 137 (2023) - p. 102498 , 2023

Link: https://doi.org/10.1016/..

2

Explanation Ontology: A general-purpose, semantic represent..:

Chari, Shruthi ; Seneviratne, Oshani ; Ghalwash, Mohamed...
Semantic Web. , 2023

Link: https://doi.org/10.3233/..

3

Quantifying representativeness in randomized clinical trial..:

Qi, Miao ; Cahan, Owen ; Foreman, Morgan A...
JAMIA Open. 4 (2021) 3 - p. , 2021

Link: https://doi.org/10.1093/..

4

Explanation Ontology: A Model of Explanations for User-Cent..:

, In: Lecture Notes in Computer Science; The Semantic Web – ISWC 2020,

Chari, Shruthi ; Seneviratne, Oshani ; Gruen, Daniel M.... - p. 228-243 , 2020

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

5

Taking advice from intelligent systems : the double-edge..:

, In: Proceedings of the 16th international conference on Intelligent user interfaces,

Ehrlich, Kate ; Kirk, Susanna E. ; Patterson, John... - p. 125-134 , 2011

Link: https://dl.acm.org/doi/1..

6

Crafting an environment for collaborative reasoning:

, In: Proceedings of the 14th international conference on Intelligent user interfaces,

Hupfer, Susanne C. ; Ross, Steven I. ; Rasmussen, Jamie C.... - p. 379-382 , 2009

Link: https://dl.acm.org/doi/1..

7

Between ontology and folksonomy : a study of collaborati..:

, In: Proceedings of the 13th international conference on Intelligent user interfaces,

Liu, Jiahui ; Gruen, Daniel M. - p. 361-364 , 2008

Link: https://dl.acm.org/doi/1..

8

Getting our head in the clouds : toward evaluation studi..:

, In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems,

Rivadeneira, A. W. ; Gruen, Daniel M. ; Muller, Michael J.. - p. 995-998 , 2007

Link: https://dl.acm.org/doi/1..

9

Facilitating Reuse of Mental Health Questionnaires via Know..:

Santos, Henrique ; Rook, Kelsey ; Pinheiro, Paulo...
https://hdl.handle.net/20.500.13015/6626. , 2023

Link: https://hdl.handle.net/2..

10

Informing clinical assessment by contextualizing post-hoc e..:

Chari, Shruthi ; Acharya, Prasant ; Gruen, Daniel M...
http://arxiv.org/abs/2302.05752. , 2023

Link: http://arxiv.org/abs/230..

11

Informing clinical assessment by contextualizing post-hoc e..:

Chari, Shruthi ; Acharya, Prasant ; Gruen, Daniel M...
Artificial Intelligence in Medicine;. , 2023

Link: https://hdl.handle.net/2..

12

Understanding Clinician Workflows to Design AI Risk Predict..:

Zhang, Olivia ; Chari, Shruthi ; Saiz, F. S...
Zhang, O., Chari, S., Saiz, F. S., Gruen, D. M., Acharya, P., Seneviratne, O., Meyer, P., McGuinness, D. L, Chakraborty, P.; "Understanding Clinician Workflows to Design AI Risk Prediction Models"; AMIA Inf. Summ., Apr 2022. , 2022

Link: https://hdl.handle.net/2..

13

Towards Clinically Relevant Explanations for Type-2 Diabete..:

Chari, Shruthi ; Chakraborty, Prithwish ; Seneviratne, Oshani...
Shruthi Chari, Prithwish Chakraborty, Oshani Seneviratne, Mohamed Ghalwash, Daniel M Gruen, Daby Sow, Deborah L. McGuinness; "Towards Clinically Relevant Explanations for Type-2 Diabetes Risk Prediction with the Explanation Ontology"; AMIA Symp. November, 2021. , 2021

Link: https://hdl.handle.net/2..

14

Leveraging Clinical Context for User-Centered Explainabilit..:

Chari, Shruthi ; Chakraborty, Prithwish ; Ghalwash, Mohamed...
http://arxiv.org/abs/2107.02359. , 2021

Link: http://arxiv.org/abs/210..

15

Designing for AI Explainability in Clinical Context:

Gruen, Daniel M ; Chari, Shruthi ; Foreman, Morgan A...
Daniel M. Gruen, Shruthi Chari, Morgan A. Foreman, Oshani Seneviratne, Rachel Richesson, Amar K. Das, Deborah L. McGuinness, Designing for AI Explainability in Clinical Context. AAAI 2021 Workshop Trustworthy AI for Healthcare, February 2021.. , 2021

Link: https://hdl.handle.net/2..