TExSS: Transparency and explanations in smart systems
- Alison Marie Smith-Renner
- Styliani Kleanthous
- et al.
- 2021
- IUI 2021
Conference paper
Publications
194 results for Explainable AI
XNLP: A living survey for XAI research in natural language processing
- Kun Qian
- Marina Danilevsky
- et al.
- 2021
- IUI 2021
Conference paperModel LineUpper: Supporting Interactive Model Comparison at Multiple Levels for AutoML
- Shweta Narkar
- Yunfeng Zhang
- et al.
- 2021
- IUI 2021
Conference paperMaking Business Partner Recommendation More Effective: Impacts of Combining Recommenders and Explanations through User Feedback
- Öznur Alkan
- Massimiliano Mattetti
- et al.
- 2021
- ACMIUI-WS 2021
Conference paperCryptomining Detection in Container Clouds Using System Calls and Explainable Machine Learning
- Rupesh Raj Karn
- Prabhakar Kudva
- et al.
- 2021
- IEEE TPDS
PaperAnomaly Attribution with Likelihood Compensation
- 2021
- AAAI 2021
Conference paperAI Explainability in Clinical Context
- Daniel M. Gruen
- Shruthi Chari
- et al.
- 2021
- AAAI 2021
Workshop posterAn anomaly detection and explainability framework using convolutional autoencoders for data storage systems
- Roy Assaf
- Ioana Giurgiu
- et al.
- 2021
- IJCAI 2020
Conference paperThe emerging landscape of explainable automated planning & decision making
- Tathagata Chakraborti
- Sarath Sreedharan
- et al.
- 2021
- IJCAI 2020
Conference paperLearning Global Transparent Models consistent with Local Contrastive Explanations
- Tejaswini Pedapati
- Avinash Balakrishnan
- et al.
- 2020
- NeurIPS 2020
Conference paper