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An Approach to Automatically Detect and Visualize Bias in Data Analytics., , и . DOLAP, том 2572 из CEUR Workshop Proceedings, стр. 84-88. CEUR-WS.org, (2020)Visualization Requirements for Business Intelligence Analytics: A Goal-Based, Iterative Framework., , , и . RE, стр. 109-119. IEEE, (2019)A Data Analytics Methodology to Visually Analyze the Impact of Bias and Rebalancing., , , и . IEEE Access, (2023)Visualization Requirements for Business Intelligence Analytics: A Goal-Based, Iterative Framework., , , и . CoRR, (2024)A smart data holistic approach for context-aware data analytics (AETHER-UA) (short paper)., , , , и . ER (Companion), том 3618 из CEUR Workshop Proceedings, CEUR-WS.org, (2023)Fostering Sustainability through Visualization Techniques for Real-Time IoT Data: A Case Study Based on Gas Turbines for Electricity Production., , , и . Sensors, 20 (16): 4556 (2020)A methodology to automatically translate user requirements into visualizations: Experimental validation., , , , и . Inf. Softw. Technol., (2021)An extension of iStar for Machine Learning requirements by following the PRISE methodology., , , , и . Comput. Stand. Interfaces, (марта 2024)Requirements-Driven Visualizations for Big Data Analytics: a Model-Driven approach., , и . CoRR, (2024)A Methodology based on Rebalancing Techniques to Measure and Improve Fairness in Artificial Intelligence algorithms., , , и . DOLAP, том 3130 из CEUR Workshop Proceedings, стр. 81-85. CEUR-WS.org, (2022)