Philipp Spitzer

2021202220235 5 10

Niklas KühlUniversity of BayreuthVerified email at uni-bayreuth.de
Dominik MartinKarlsruhe Institute of TechnologyVerified email at kit.edu
Gerhard SatzgerKarlsruhe Service Research Institute / Institute of Information Systems and Marketing, KITVerified email at kit.edu
Joshua HolsteinKarlsruhe Institute of TehnologyVerified email at kit.edu
Daniel HeinzKarlsruhe Institute of TechnologyVerified email at kit.edu
Patrick HemmerKarlsruhe Institute of TechnologyVerified email at kit.edu
Max SchemmerKarlsruhe Institute of TechnologyVerified email at kit.edu
Michael VössingKarlsruhe Institute of TechnologyVerified email at kit.edu
Katelyn MorrisonCarnegie Mellon UniversityVerified email at cs.cmu.edu
Adam PererCarnegie Mellon UniversityVerified email at cmu.edu
Michelle FengCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Violet TurriVerified email at andrew.cmu.edu

Philipp Spitzer

Verified email at kit.edu - Homepage


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A new metric for lumpy and intermittent demand forecasts: Stock-keeping-oriented prediction error costs D Martin, P Spitzer, N Kühl 53rd Annual Hawaii International Conference on System Sciences (HICSS-53 …, 2020	11	2020
Training Novices: The Role of Human-AI Collaboration and Knowledge Transfer P Spitzer, N Kühl, M Goutier Workshop on Human-Machine Collaboration and Teaming (HM-CaT 2022), 23rd July …, 2022	6	2022
Towards Effective Human-AI Decision-Making: The Role of Human Learning in Appropriate Reliance on AI Advice M Schemmer, A Bartos, P Spitzer, P Hemmer, N Kühl, J Liebschner, ... arXiv preprint arXiv:2310.02108, 2023	1	2023
ML-Based Teaching Systems: A Conceptual Framework P Spitzer, N Kühl, D Heinz, G Satzger arXiv preprint arXiv:2305.07681, 2023	1	2023
On the Perception of Difficulty: Differences between Humans and AI P Spitzer, J Holstein, M Vössing, N Kühl arXiv preprint arXiv:2304.09803, 2023	1	2023
The Impact of Imperfect XAI on Human-AI Decision-Making K Morrison, P Spitzer, V Turri, M Feng, N Kühl, A Perer arXiv preprint arXiv:2307.13566, 2023		2023
Towards a Problem-Oriented Domain Adaptation Framework for Machine Learning D Martin, L Eichberger, N Kühl, P Spitzer Available at SSRN 4655450, 0

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