Shannon Quinn
Shannon Quinn
Associate Professor of Computer Science, University of Georgia
Verified email at - Homepage
Cited by
Cited by
Automated image analysis for high-content screening and analysis
A Shariff, J Kangas, LP Coelho, S Quinn, RF Murphy
Journal of biomolecular screening 15 (7), 726-734, 2010
P2Y6 receptor antagonist MRS2578 inhibits neutrophil activation and aggregated neutrophil extracellular trap formation induced by gout-associated monosodium urate crystals
P Sil, CP Hayes, BJ Reaves, P Breen, S Quinn, J Sokolove, B Rada
The Journal of Immunology 198 (1), 428-442, 2017
Help me find a job: A graph-based approach for job recommendation at scale
W Shalaby, BE AlAila, M Korayem, L Pournajaf, K AlJadda, S Quinn, ...
2017 IEEE international conference on big data (big data), 1544-1553, 2017
Automated identification of abnormal respiratory ciliary motion in nasal biopsies
SP Quinn, MJ Zahid, JR Durkin, RJ Francis, CW Lo, SC Chennubhotla
Science translational medicine 7 (299), 299ra124-299ra124, 2015
Samsara: Declarative machine learning on distributed dataflow systems
S Schelter, A Palumbo, S Quinn, S Marthi, A Musselman
NIPS Workshop MLSystems, 2016
Principles of bioimage informatics: focus on machine learning of cell patterns
LP Coelho, E Glory-Afshar, J Kangas, S Quinn, A Shariff, RF Murphy
Linking Literature, Information, and Knowledge for Biology, 8-18, 2010
Open source big data analytics frameworks written in scala
JA Miller, C Bowman, VG Harish, S Quinn
2016 IEEE International Congress on Big Data (BigData Congress), 389-393, 2016
Scalable Fast Rank-1 Dictionary Learning for fMRI Big Data Analysis
X Li, M Makkie, B Lin, MS Fazli, I Davidson, J Ye, T Liu, S Quinn
Apache Mahout: Machine Learning on Distributed Dataflow Systems.
R Anil, G Çapan, I Drost-Fromm, T Dunning, E Friedman, T Grant, S Quinn, ...
J. Mach. Learn. Res. 21 (127), 1-6, 2020
A distributed computing platform for fMRI big data analytics
M Makkie, X Li, S Quinn, B Lin, J Ye, G Mon, T Liu
IEEE transactions on big data 5 (2), 109-119, 2018
Integrating heterogeneous healthcare datasets and visual analytics for disease bio-surveillance and dynamics
A Ramanathan, LL Pullum, CA Steed, SP Quinn, CS Chennubhotla, ...
3rd IEEE Workshop on Visual Text Analytics, 2013
Mining pre-exposure prophylaxis trends in social media
P Breen, J Kelly, T Heckman, S Quinn
2016 IEEE International Conference on Data Science and Advanced Analytics …, 2016
Computational motility tracking of calcium dynamics in toxoplasma gondii
MS Fazli, SA Vella, SNJ Moreno, S Quinn
arXiv preprint arXiv:1708.01871, 2017
ORBiT: Oak Ridge biosurveillance toolkit for public health dynamics
A Ramanathan, LL Pullum, TC Hobson, CA Steed, SP Quinn, ...
BMC bioinformatics 16 (17), 1-12, 2015
Statistical inference for big data problems in molecular biophysics
A Ramanathan, A Savol, V Burger, S Quinn, PK Agarwal, C Chennubhotla
Neural Information Processing Systems: Workshop on Big Learning, 2012
Novel use of differential image velocity invariants to categorize ciliary motion defects
S Quinn, R Francis, C Lo, C Chennubhotla
Proceedings of the 2011 Biomedical Sciences and Engineering Conference …, 2011
Discovering Multi-Scale Co-Occurrence Patterns of Asthma and Influenza with Oak Ridge Bio-Surveillance Toolkit
A Ramanathan, LL Pullum, TC Hobson, CG Stahl, CA Steed, SP Quinn, ...
Frontiers in public health 3, 182, 2015
Oak ridge bio-surveillance toolkit
A Ramanathan, LL Pullum, CA Steed, S Quinn, CS Chennubhotla
IEEE VAST Workshop on Public Health’s Wicked Problems: Can InfoVis Save Lives, 2013
Lightweight and scalable particle tracking and motion clustering of 3D cell trajectories
MS Fazli, RV Stadler, BE Alaila, SA Vella, SNJ Moreno, GE Ward, S Quinn
2019 IEEE International Conference on Data Science and Advanced Analytics …, 2019
Developing a Graph Convolution-Based Analysis Pipeline for Multi-Modal Neuroimage Data: An Application to Parkinson’s Disease
C McDaniel, S Quinn
Proceedings of the Python in Science Conference, 42-49, 2019
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