AI Explainability 360: Impact and Design
- 2022
- IAAI 2022
Publications
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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
Data-Driven Sequential Uptake Pattern Discovery for Family Planning Studies
- Celia Cintas
- Victor Akinwande
- et al.
- 2021
- AMIA ... Annual Symposium proceedings. AMIA Symposium
Network Scheduling and Compute Resource Aware Task Placement in Datacenters
- Ali Munir
- Ting He
- et al.
- 2020
- IEEE/ACM TON
Ai explainability 360: An extensible toolkit for understanding data and machine learning models
- Vijay Arya
- Rachel Bellamy
- et al.
- 2020
- JMLR
AI Explainability 360 Toolkit
- Vijay Arya
- Rachel Bellamy
- et al.
- 2021
- CODS-COMAD 2021
Feature Importance Identification through Bottleneck Reconstruction
- Linsong Chu
- Ramya Raghavendra
- et al.
- 2019
- IEEE ICCC 2019
Learning to Simplify Distributed Systems Management
- Christopher Streiffer
- Ramya Raghavendra
- et al.
- 2018
- Big Data 2018
Provisioning Robust and Interpretable AI/ML-Based Service Bundles
- Alun Preece
- Dan Harborne
- et al.
- 2018
- MILCOM 2018
Learning and Reasoning in Complex Coalition Information Environments: A Critical Analysis
- Federico Cerutti
- Moustafa Alzantot
- et al.
- 2018
- FUSION 2018