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Neel Shah
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2020 – today
- 2024
- [c15]Jibril Frej, Neel Shah, Marta Knezevic, Tanya Nazaretsky, Tanja Käser:
Finding Paths for Explainable MOOC Recommendation: A Learner Perspective. LAK 2024: 426-437 - [c14]Vrajesh Patel, Neel Shah, Aravind Krishna, Tom Glint, Abdul Ronak, Joycee Mekie:
COMPRIZE: Assessing the Fusion of Quantization and Compression on DNN Hardware Accelerators. VLSID 2024: 253-258 - [c13]Kailash Prasad, Neel Shah, Jinay Dagli, Joycee Mekie:
SDR-PUF: Sequence-Dependent Reconfigurable SRAM PUF with an Exponential CRP Space. VLSID 2024: 535-540 - 2023
- [j8]Lily Rubin-Miller, Natalie Henrich, Alex Peahl, Christa Moss, Neel Shah, Hannah R. Jahnke:
Utilization of digital prenatal services and management of depression and anxiety during pregnancy: A retrospective observational study. Frontiers Digit. Health 5 (2023) - [j7]Bing Xue, Neel Shah, Hanqing Yang, Thomas George Kannampallil, Philip Richard Orrin Payne, Chenyang Lu, Ahmed Sameh Said:
Multi-horizon predictive models for guiding extracorporeal resource allocation in critically ill COVID-19 patients. J. Am. Medical Informatics Assoc. 30(4): 656-667 (2023) - [c12]Tom Glint, Kailash Prasad, Jinay Dagli, Krishil Gandhi, Aryan Gupta, Vrajesh Patel, Neel Shah, Joycee Mekie:
Hardware-Software Codesign of DNN Accelerators Using Approximate Posit Multipliers. ASP-DAC 2023: 469-474 - [c11]Bing Xue, Ahmed Sameh Said, Ziqi Xu, Hanyang Liu, Neel Shah, Hanqing Yang, Philip R. O. Payne, Chenyang Lu:
Assisting Clinical Decisions for Scarcely Available Treatment via Disentangled Latent Representation. KDD 2023: 5360-5371 - [i5]Bing Xue, Ahmed Sameh Said, Ziqi Xu, Hanyang Liu, Neel Shah, Hanqing Yang, Philip R. O. Payne, Chenyang Lu:
Assisting Clinical Decisions for Scarcely Available Treatment via Disentangled Latent Representation. CoRR abs/2307.03315 (2023) - [i4]Jibril Frej, Neel Shah, Marta Knezevic, Tanya Nazaretsky, Tanja Käser:
Finding Paths for Explainable MOOC Recommendation: A Learner Perspective. CoRR abs/2312.10082 (2023) - 2022
- [j6]Amit Dhiman, Neel Shah, Pranali Adhikari, Sayali Kumbhar, Inderjit Singh Dhanjal, Ninad Dileep Mehendale:
Firefighting robot with deep learning and machine vision. Neural Comput. Appl. 34(4): 2831-2839 (2022) - [j5]Neel Shah, Darryl L. Willick, Vijay Mago:
A framework for social media data analytics using Elasticsearch and Kibana. Wirel. Networks 28(3): 1179-1187 (2022) - [c10]Kailash Prasad, Jinay Dagli, Neel Shah, Mallikarjun Pidagannavar, Joycee Mekie:
Impact of Operand Ordering in Approximate Multiplication in Neural Network and Image Processing Applications. VDAT 2022: 562-572 - 2021
- [j4]Neel Shah, Laxit Kamdar, Drashti Gokalgandhi, Ninad Dileep Mehendale:
Walking pattern analysis using deep learning for energy harvesting smart shoes with IoT. Neural Comput. Appl. 33(18): 11617-11625 (2021) - [c9]Bing Xue, Neel Shah, Hanqing Yang, Charles Ziegenbein, Thomas George Kannampallil, Philip R. O. Payne, Chenyang Lu, Ahmed Sameh Said:
Multi-horizon prediction for extracorporeal support in COVID-19 patients. AMIA 2021 - 2020
- [j3]Drashti Gokalgandhi, Laxit Kamdar, Neel Shah, Ninad Dileep Mehendale:
A Review of Smart Technologies Embedded in Shoes. J. Medical Syst. 44(9): 150 (2020) - [i3]Michael A. Skinner, Lakshmi Raman, Neel Shah, Abdelaziz Farhat, Sriraam Natarajan:
A Preliminary Approach for Learning Relational Policies for the Management of Critically Ill Children. CoRR abs/2001.04432 (2020)
2010 – 2019
- 2018
- [j2]Matthew C. Gombolay, Xi Jessie Yang, Bradley Hayes, Nicole Seo, Zixi Liu, Samir Wadhwania, Tania Yu, Neel Shah, Toni Golen, Julie A. Shah:
Robotic assistance in the coordination of patient care. Int. J. Robotics Res. 37(10) (2018) - [j1]Matthew C. Gombolay, Reed Jensen, Jessica Stigile, Toni Golen, Neel Shah, Sung-Hyun Son, Julie A. Shah:
Human-Machine Collaborative Optimization via Apprenticeship Scheduling. J. Artif. Intell. Res. 63: 1-49 (2018) - [c8]Sundaresan Rajasekaran, Harpreet Singh Chawla, Zhen Ni, Neel Shah, Emery D. Berger, Timothy Wood:
CRIMES: Using Evidence to Secure the Cloud. Middleware 2018: 40-52 - [i2]Matthew C. Gombolay, Reed Jensen, Jessica Stigile, Toni Golen, Neel Shah, Sung-Hyun Son, Julie A. Shah:
Human-Machine Collaborative Optimization via Apprenticeship Scheduling. CoRR abs/1805.04220 (2018) - 2016
- [c7]Sundaresan Rajasekaran, Zhen Ni, Harpreet Singh Chawla, Neel Shah, Timothy Wood, Emery D. Berger:
Scalable Cloud Security via Asynchronous Virtual Machine Introspection. HotCloud 2016 - [c6]Wei Zhang, Guyue Liu, Wenhui Zhang, Neel Shah, Phil Lopreiato, Grégoire Todeschi, K. K. Ramakrishnan, Timothy Wood:
OpenNetVM: Flexible, high performance NFV (Demo). LANMAN 2016: 1-2 - [c5]Wei Zhang, Guyue Liu, Wenhui Zhang, Neel Shah, Phil Lopreiato, Grégoire Todeschi, K. K. Ramakrishnan, Timothy Wood:
OpenNetVM: Flexible, high performance NFV (Demo). NetSoft 2016: 359-360 - [c4]Matthew C. Gombolay, Xi Jessie Yang, Bradley Hayes, Nicole Seo, Zixi Liu, Samir Wadhwania, Tania Yu, Neel Shah, Toni Golen, Julie A. Shah:
Robotic Assistance in Coordination of Patient Care. Robotics: Science and Systems 2016 - [c3]Wei Zhang, Guyue Liu, Wenhui Zhang, Neel Shah, Phil Lopreiato, Grégoire Todeschi, K. K. Ramakrishnan, Timothy Wood:
OpenNetVM: A Platform for High Performance Network Service Chains. HotMiddlebox@SIGCOMM 2016: 26-31 - 2015
- [c2]Neel Shah, Vladimir Kolmogorov, Christoph H. Lampert:
A multi-plane block-coordinate frank-wolfe algorithm for training structural SVMs with a costly max-oracle. CVPR 2015: 2737-2745 - 2014
- [c1]Tushar Swamy, Neel Shah, Pei Luo, Yunsi Fei, David R. Kaeli:
Scalable and efficient implementation of correlation power analysis using graphics processing units (GPUs). HASP@ISCA 2014: 10:1-10:8 - [i1]Neel Shah, Vladimir Kolmogorov, Christoph H. Lampert:
A Multi-Plane Block-Coordinate Frank-Wolfe Algorithm for Structural SVMs with a Costly max-Oracle. CoRR abs/1408.6804 (2014)
Coauthor Index
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