Publications

156 results for Explainable AI

Enhancing simple models by exploiting what they already know
- - Amit Dhurandhar
  - Karthikeyan Shanmugam
  - et al.
- 2020
- ICML 2020
Consumer-Driven Explanations for Machine Learning Decisions: An Empirical Study of Robustness
- - Michael Hind
  - Dennis Wei
  - et al.
- 2020
- ICML 2020
Leveraging Simple Model Predictions for Enhancing its Performance
- - Amit Dhurandhar
  - Karthikeyan Shanmugam
  - et al.
- 2020
- ICML 2020
Rapid Trust Calibration through Interpretable and Uncertainty-Aware AI
- - Richard Tomsett
  - Alun Preece
  - et al.
- 2020
- Patterns
- D3WA+ - A case study of XAIP in a model acquisition task for dialogue planning
- - Sarath Sreedharan
  - Tathagata Chakraborti
  - et al.
- 2020
- ICAPS 2020
Acoustic Wave Inversion Using Radial Basis Neural Networks
- - Miguel Paredes Quinones
  - Alberto Costa Nogueira Junior
  - et al.
- 2020
- Joint SBGf-SEG Workshop on Machine Learning 2020
Interpretation Method for Continuous Glucose Monitoring with Subsequence Time-Series Clustering
- - Masaki Ono
  - Takayuki Katsuki
  - et al.
- 2020
- MIE 2020
Feature Set for a Prediction Model of Diabetic Kidney Disease Progression
- - Masaki Ono
  - Takayuki Katsuki
  - et al.
- 2020
- MIE 2020
From human-human collaboration to Human-AI collaboration: Designing AI systems that can work together with people
- - Dakuo Wang
  - Elizabeth Churchill
  - et al.
- 2020
- CHI EA 2020
Questioning the AI: Informing Design Practices for Explainable AI User Experiences
- - Q. Vera Liao
  - Daniel M. Gruen
  - et al.
- 2020
- CHI 2020