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Konstantin D. Pandl
Konstantin D. Pandl
Karlsruhe Institute of Technolgoy
Bestätigte E-Mail-Adresse bei kit.edu
Titel
Zitiert von
Zitiert von
Jahr
On the convergence of artificial intelligence and distributed ledger technology: A scoping review and future research agenda
KD Pandl, S Thiebes, M Schmidt-Kraepelin, A Sunyaev
IEEE access 8, 57075-57095, 2020
902020
Artificial intelligence as a service: classification and research directions
S Lins, KD Pandl, H Teigeler, S Thiebes, C Bayer, A Sunyaev
Business & Information Systems Engineering 63, 441-456, 2021
712021
How detection ranges and usage stops impact digital contact tracing effectiveness for COVID-19
KD Pandl, S Thiebes, M Schmidt-Kraepelin, A Sunyaev
Scientific reports 11 (1), 9414, 2021
222021
Trustworthy machine learning for health care: scalable data valuation with the shapley value
KD Pandl, F Feiland, S Thiebes, A Sunyaev
Proceedings of the Conference on Health, Inference, and Learning, 47-57, 2021
202021
Drivers and inhibitors for organizations’ intention to adopt artificial intelligence as a service
KD Pandl, H Teigeler, S Lins, S Thiebes, A Sunyaev
192021
What Your Radiologist Might be Missing: Using Machine Learning to Identify Mislabeled Instances of X-ray Images
T Rädsch, S Eckhardt, F Leiser, KD Pandl, S Thiebes, A Sunyaev
Proceedings of the 54th Hawaii International Conference on System Sciences …, 2021
122021
Reward Systems for Trustworthy Medical Federated Learning
KD Pandl, F Leiser, S Thiebes, A Sunyaev
arXiv preprint arXiv:2205.00470, 2022
32022
Optimization of system parameters for an online driving style recognition
D Dörr, KD Pandl, F Gauterin
2016 IEEE 19th International Conference on Intelligent Transportation …, 2016
32016
NephroCAGE—German-Canadian Consortium on AI for Improved Kidney Transplantation Outcome: Protocol for an Algorithm Development and Validation Study
MP Schapranow, M Bayat, A Rasheed, M Naik, V Graf, D Schmidt, ...
JMIR Research Protocols 12 (1), e48892, 2023
12023
Scalable Data Point Valuation in Decentralized Learning
KD Pandl, CY Huang, I Beschastnikh, X Li, S Thiebes, A Sunyaev
arXiv preprint arXiv:2305.01657, 2023
2023
Trustworthy Decentralized Machine Learning Systems
KD Pandl
Karlsruher Instituts für Technologie, 2023
2023
How detection ranges and usage stops impact digital contact tracing effectiveness for COVID-19 (preprint)
KD Pandl, S Thiebes, M Schmidt-Kraepelin, A Sunyaev
2020
A Cost and Time Efficient Approach for Storing and Querying Genomic Data in Ethereum Smart Contracts
M Beyene, S Thiebes, A Sunyaev
Proceedings of the iDash Privacy & Security Workshop, 2019
2019
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