共 50 条
- [22] Post-hoc Rule Based Explanations for Black Box Bayesian Optimization ARTIFICIAL INTELLIGENCE-ECAI 2023 INTERNATIONAL WORKSHOPS, PT 1, XAI3, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, 2023, 2024, 1947 : 320 - 337
- [23] Explanations as Mechanisms for Supporting Algorithmic Transparency PROCEEDINGS OF THE 2018 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI 2018), 2018,
- [27] Governing algorithmic decisions: The role of decision importance and governance on perceived legitimacy of algorithmic decisions BIG DATA & SOCIETY, 2022, 9 (01):
- [28] Can Post-hoc Explanations Effectively Detect Out-of-Distribution Samples? 2022 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE), 2022,