Optimization of system parameters for an online driving style recognition. - Dominik Dörr; Konstantin D. Pandl; Frank Gauterin (ITSC, 2016)

On the Convergence of Artificial Intelligence and Distributed Ledger Technology: A Scoping Review and Future Research Agenda. - Konstantin D. Pandl; Scott Thiebes; Manuel Schmidt-Kraepelin; Ali Sunyaev (IEEE Access, 2020)

Trustworthy machine learning for health care: scalable data valuation with the shapley value. - Konstantin D. Pandl; Fabian Feiland; Scott Thiebes; Ali Sunyaev (CHIL, 2021)

Drivers and Inhibitors for Organizations' Intention to Adopt Artificial Intelligence as a Service. - Konstantin D. Pandl; Heiner Teigeler; Sebastian Lins; Scott Thiebes; Ali Sunyaev (HICSS, 2021)

What Your Radiologist Might be Missing: Using Machine Learning to Identify Mislabeled Instances of X-ray Images. - Tim Rädsch; Sven Eckhardt; Florian Leiser; Konstantin D. Pandl; Scott Thiebes; Ali Sunyaev (HICSS, 2021)

Artificial Intelligence as a Service. - Sebastian Lins; Konstantin D. Pandl; Heiner Teigeler; Scott Thiebes; Calvin Bayer; Ali Sunyaev (Bus. Inf. Syst. Eng., 2021)

Reward Systems for Trustworthy Medical Federated Learning. - Konstantin D. Pandl; Florian Leiser; Scott Thiebes; Ali Sunyaev (CoRR, 2022)

Scalable Data Point Valuation in Decentralized Learning. - Konstantin D. Pandl; Chun-Yin Huang; Ivan Beschastnikh; Xiaoxiao Li; Scott Thiebes; Ali Sunyaev (CoRR, 2023)

Trustworthy decentralized machine learning systems / von Konstantin Diego Pandl. - Konstantin D. Pandl (2023)