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Explainable AI in Machine Learning Regression: Creating Transparency of a Regression Model.

. HCI (37), volume 14720 of Lecture Notes in Computer Science, page 223-236. Springer, (2024)

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Designing intelligent systems to handle system failures: Enhancing explanatory power with less restrictive user interfaces and deep explanations., and . Int. J. Hum. Comput. Interaction, 21 (1): 55-72 (2006)Explainable AI in Machine Learning Regression: Creating Transparency of a Regression Model.. HCI (37), volume 14720 of Lecture Notes in Computer Science, page 223-236. Springer, (2024)Building Logistics Networks Using Model-Based Reasoning Techniques., and . IEA/AIE, volume 1821 of Lecture Notes in Computer Science, page 414-419. Springer, (2000)The Alignment Of Organizational Incentives with Organizational Goals Across IT Adoption Stages., , , , and . AMCIS, page 103. Association for Information Systems, (2004)Enhancing the Explanatory Power of Intelligent User Interfaces with Diagrams.. HCI (23), volume 9191 of Lecture Notes in Computer Science, page 623-632. Springer, (2015)Improving the explanatory power of knowledge-based systems: an investigation of content and interface-based enhancements., and . IEEE Trans. Syst. Man Cybern. Part A, 33 (3): 344-357 (2003)A taxonomy of crowdsourcing based on task complexity., , and . J. Inf. Sci., 40 (6): 823-834 (2014)A risk profile of offshore-outsourced development projects., and . Commun. ACM, 51 (6): 89-94 (2008)An Investigation of User Interface Features of Crowdsourcing Applications., and . HCI (18), volume 8527 of Lecture Notes in Computer Science, page 410-418. Springer, (2014)Designing Effective User Interfaces for Crowdsourcing: An Exploratory Study., and . HCI (13), volume 8016 of Lecture Notes in Computer Science, page 221-229. Springer, (2013)