An Application of Combinatorial Methods for Explainability in Artificial Intelligence and Machine Learning (Draft)
暂无分享,去创建一个
[1] David Gunning,et al. DARPA's explainable artificial intelligence (XAI) program , 2019, IUI.
[2] Filip Karlo Dosilovic,et al. Explainable artificial intelligence: A survey , 2018, 2018 41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO).
[3] Luis M. Candanedo,et al. Accurate occupancy detection of an office room from light, temperature, humidity and CO2 measurements using statistical learning models , 2016 .
[4] Amina Adadi,et al. Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI) , 2018, IEEE Access.
[5] Christoph H. Lampert,et al. Learning to detect unseen object classes by between-class attribute transfer , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[6] Franco Turini,et al. Open the Black Box Data-Driven Explanation of Black Box Decision Systems , 2018, ArXiv.
[7] Nada Lavrac,et al. The Multi-Purpose Incremental Learning System AQ15 and Its Testing Application to Three Medical Domains , 1986, AAAI.