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Disambiguation of "Heinrich, Kai"

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Stop ordering machine learning algorithms by their explainability! A user-centered investigation of performance and explainability.

, , , and . Int. J. Inf. Manag., (April 2023)

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Kai Heinrich

Kai Heinrich Prokopf

Kai-Kai Shen

Kai Zehmisch

Singularities and self-intersections of holomorphic discs. Uni Leipzig, (2009)

Kai Schöneboom

Analyse und Vergleich der Anwendung von alter und neuer TASC-Klassifikation auf das Akutergebnis der interventionellen Behandlung der peripheren arteriellen Verschlusskrankheit. TU Aachen, (2009)
 

Other publications of authors with the same name

Digital Supplement: Data Collection and AHP Results (How Much AI Do You Require? Decision Factors for Adopting AI Technology). ResearchGate, , , and . (2020)Anhang: Evaluationstabellen für Vorverarbeitungsschritte (Vergleich Deep-Learning-Architekturen zur Prognose von Prozessverhalten). ResearchGate, , , and . (2020)Vindictive Word-of-Mouth on Social Media Platforms - an Empirical Investigation of Drivers and their Measurement., , , , , and . ECIS, (2020)Towards a Taxonomic Benchmarking Framework for Predictive Maintenance: The Case of NASA's Turbofan Degradation., , and . ICIS, Association for Information Systems, (2019)Stop Ordering Machine Learning Algorithms by Their Explainability! An Empirical Investigation of the Tradeoff Between Performance and Explainability., , , and . I3E, volume 12896 of Lecture Notes in Computer Science, page 245-258. Springer, (2021)Algorithms as a Manager: A Critical Literature Review of Algorithm Management., , and . ICIS, Association for Information Systems, (2022)Methoden für Trendanalysen im Web zur Unter-stützungdes Customer Relationship Management., , and . MKWI, page 1145-1156. GITO Verlag, (2012)Influence Potential Framework: Eine Methode zur Bestimmung des Referenzpotenzials in Microblogs. Tagungsband zum 14. Interuniversitären Doktorandenseminar Wirtschaftsinformatik, page 26--36. Chemnitz, Professur Wirtschaftsinformatik, insb. Systementwicklung/Anwendungssysteme, Universitätsverlag Chemnitz, (Jul 14, 2011)Stop ordering machine learning algorithms by their explainability! A user-centered investigation of performance and explainability., , , and . CoRR, (2022)The effect of transparency and trust on intelligent system acceptance: Evidence from a user-based study., , , and . Electron. Mark., 32 (4): 2079-2102 (December 2022)