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2026	Your Model Is Unfair, Are You Even Aware? Inverse Relationship Between Comprehension and Trust in Explainability Visualizations of Biased ML Models IEEE Transactions on Visualization and Computer Graphics Zhanna Kaufman, Madeline Endres, Cindy Xiong Bearfield, Yuriy Brun
2025	Democratizing Artificial Intelligence for Social Good: A Bibliometric–Systematic Review Through a Social Science Lens Social Sciences Chitat Chan, Afifah Nurrosyidah
2024	Leveraging automated deep learning (AutoDL) in geosciences Computers & Geosciences Nandito Davy, Umair Bin Waheed, Ardiansyah Koeshidayatullah, Ammar El-Husseiny, Korhan Ayranci, Nicholas B. Harris, Tian Dong
2023	Crowdsourcing Subjective Annotations Using Pairwise Comparisons Reduces Bias and Error Compared to the Majority-vote Method Proceedings of the ACM on Human-Computer Interaction Hasti Narimanzadeh, Arash Badie-Modiri, Iuliia G. Smirnova, Ted Hsuan Yun Chen
2023	Encyclopedia of Data Science and Machine Learning Emmanuel Djaba, Joseph Budu
2022	Searching for the urine osmolality surrogate: an automated machine learning approach Clinical Chemistry and Laboratory Medicine (CCLM) Deniz İlhan Topcu, Nilüfer Bayraktar
2022	No-Code Platform-Based Deep-Learning Models for Prediction of Colorectal Polyp Histology from White-Light Endoscopy Images: Development and Performance Verification Journal of Personalized Medicine Eun Jeong Gong, Chang Seok Bang, Jae Jun Lee, Seung In Seo, Young Joo Yang, Gwang Ho Baik, Jong Wook Kim
2021	AI and Data Democratisation for Intelligent Energy Management Energies Vangelis Marinakis, Themistoklis Koutsellis, Alexandros Nikas, Haris Doukas
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