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White, Grey, Black: Effects of XAI Augmentation on the Confidence in AI-based Decision Support Systems

, , , и . (2020)

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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)
 

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Towards a Taxonomic Benchmarking Framework for Predictive Maintenance: The Case of NASA's Turbofan Degradation., , и . ICIS, Association for Information Systems, (2019)Vindictive Word-of-Mouth on Social Media Platforms - an Empirical Investigation of Drivers and their Measurement., , , , , и . ECIS, (2020)Digital Supplement: Data Collection and AHP Results (How Much AI Do You Require? Decision Factors for Adopting AI Technology). ResearchGate, , , и . (2020)Anhang: Evaluationstabellen für Vorverarbeitungsschritte (Vergleich Deep-Learning-Architekturen zur Prognose von Prozessverhalten). ResearchGate, , , и . (2020)Algorithms as a Manager: A Critical Literature Review of Algorithm Management., , и . ICIS, Association for Information Systems, (2022)Stop Ordering Machine Learning Algorithms by Their Explainability! An Empirical Investigation of the Tradeoff Between Performance and Explainability., , , и . I3E, том 12896 из Lecture Notes in Computer Science, стр. 245-258. Springer, (2021)Methoden für Trendanalysen im Web zur Unter-stützungdes Customer Relationship Management., , и . MKWI, стр. 1145-1156. GITO Verlag, (2012)Stop ordering machine learning algorithms by their explainability! A user-centered investigation of performance and explainability., , , и . CoRR, (2022)Influence Potential Framework: Eine Methode zur Bestimmung des Referenzpotenzials in Microblogs. Tagungsband zum 14. Interuniversitären Doktorandenseminar Wirtschaftsinformatik, стр. 26--36. Chemnitz, Professur Wirtschaftsinformatik, insb. Systementwicklung/Anwendungssysteme, Universitätsverlag Chemnitz, (14.07.2011)Objekterkennung im Weinanbau - Eine Fallstudie zur Unterstützung von Winzertätigkeiten mithilfe von Deep Learning., , , , и . HMD Prax. der Wirtschaftsinformatik, 56 (5): 964-985 (2019)