Interpretability of deep learning models: A survey of results
- Supriyo Chakraborty
- Richard Tomsett
- et al.
- 2017
- SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017
Conference paper
Publications
24 results for Ramya Raghavendra
When data lie: Fairness and robustness in contested environments
- Ramya Raghavendra
- Federico Cerutti
- et al.
- 2018
- SPIE Defense + Security 2018
Conference paperReasoning and learning services for coalition situational understanding
- Dan Harborne
- Ramya Raghavendra
- et al.
- 2018
- SPIE Defense + Security 2018
Conference paperDarNet: A deep learning solution for distracted driving detection
- Christopher Streiffer
- Ramya Raghavendra
- et al.
- 2017
- Middleware 2017
Conference paperWhom to Query? Spatially-Blind Participatory Crowdsensing under Budget Constraints
- Mai ElSherief
- Ramya Raghavendra
- et al.
- 2017
- CrowdSenSys 2017
Conference paperNetwork scheduling aware task placement in datacenters
- Ali Munir
- Ting He
- et al.
- 2016
- CoNEXT 2016
Conference paperUnifying HDFS and GPFS: Enabling analytics on software-defined storage
- Ramya Raghavendra
- P. Dewan
- et al.
- 2016
- Middleware 2016
Conference paperRemoving TCP congestion control on the last hop in split TCP environments
- Franck Le
- Starsky H. Y. Wong
- et al.
- 2016
- WiOpt 2016
Conference paperInternet media upload caching for poorly-connected regions
- Paul Schmitt
- Ramya Raghavendra
- et al.
- 2015
- ACM DEV 2015
Conference paperCloud service placement via subgraph matching
- Bo Zong
- Ramya Raghavendra
- et al.
- 2014
- ICDE 2014
Conference paper