AI Explainability 360: Impact and Design
- Vijay Arya
- Rachel K. E. Bellamy
- et al.
- 2022
- IAAI 2022
Conference paper
Publications
24 results for Ramya Raghavendra
Decision platform for pattern discovery and causal effect estimation in contraceptive discontinuation
- Celia Cintas
- Ramya Raghavendra
- et al.
- 2021
- IJCAI 2020
Demo paperData-Driven Sequential Uptake Pattern Discovery for Family Planning Studies
- Celia Cintas
- Victor Akinwande
- et al.
- 2021
- AMIA ... Annual Symposium proceedings. AMIA Symposium
PaperNetwork Scheduling and Compute Resource Aware Task Placement in Datacenters
- Ali Munir
- Ting He
- et al.
- 2020
- IEEE/ACM TON
PaperAi explainability 360: An extensible toolkit for understanding data and machine learning models
- Vijay Arya
- Rachel Bellamy
- et al.
- 2020
- JMLR
PaperAI Explainability 360 Toolkit
- Vijay Arya
- Rachel Bellamy
- et al.
- 2021
- CODS-COMAD 2021
Conference paperFeature Importance Identification through Bottleneck Reconstruction
- Linsong Chu
- Ramya Raghavendra
- et al.
- 2019
- IEEE ICCC 2019
Conference paperLearning to Simplify Distributed Systems Management
- Christopher Streiffer
- Ramya Raghavendra
- et al.
- 2018
- Big Data 2018
Conference paperProvisioning Robust and Interpretable AI/ML-Based Service Bundles
- Alun Preece
- Dan Harborne
- et al.
- 2018
- MILCOM 2018
Conference paperLearning and Reasoning in Complex Coalition Information Environments: A Critical Analysis
- Federico Cerutti
- Moustafa Alzantot
- et al.
- 2018
- FUSION 2018
Conference paper