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ORCIDShannon Quinn
Person information
- affiliation: University of Georgia, Department of Computer Science, Athens, GA, USA
- affiliation (former): Carnegie Mellon University, Department of Biological Sciences, Pittsburgh, PA, USA
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Journal Articles
- 2020
[j4]Robin Anil, Gökhan Çapan, Isabel Drost-Fromm, Ted Dunning, Ellen Friedman, Trevor Grant, Shannon Quinn, Paritosh Ranjan, Sebastian Schelter, Özgür Yilmazel:
Apache Mahout: Machine Learning on Distributed Dataflow Systems. J. Mach. Learn. Res. 21: 127:1-127:6 (2020)- [j3]Mojtaba Sedigh Fazli
, Marcus Hill, Andrew Durden, Rachel Mattson, Allyson T. Loy, Barbara Reaves, Abigail Courtney, Frederick D. Quinn, Chakra Chennubhotla, Shannon Quinn:
OrNet - a Python Toolkit to Model the Diffuse Structure of Organelles as Social Networks. J. Open Source Softw. 5(47): 1983 (2020) - 2019
- [j2]Milad Makkie, Xiang Li, Shannon Quinn, Binbin Lin, Jieping Ye, Geoffrey Mon, Tianming Liu:
A Distributed Computing Platform for fMRI Big Data Analytics. IEEE Trans. Big Data 5(2): 109-119 (2019) - 2015
- [j1]Arvind Ramanathan, Laura L. Pullum, Tanner C. Hobson, Chad A. Steed, Shannon P. Quinn, Chakra S. Chennubhotla, Silvia Valkova:
ORBiT: Oak Ridge biosurveillance toolkit for public health dynamics. BMC Bioinform. 16(S17): S4 (2015)
Conference and Workshop Papers
- 2022
- [c27]Seyed Alireza Vaezi, Gianni Orlando, Mojtaba Sedigh Fazli, Gary E. Ward, Silvia N. J. Moreno, Shannon Quinn:
A Novel Pipeline for Cell Instance Segmentation, Tracking and Motility Classification of Toxoplasma Gondii in 3D Space. SciPy 2022: 60-63 - [c26]Curtis Godwin, Meekail Zain, Nathan Safir, Bella Humphrey, Shannon P. Quinn:
Incorporating Task-Agnostic Information in Task-Based Active Learning Using a Variational Autoencoder. SciPy 2022: 110-114 - [c25]Nathan Jacobi, Ivan Mo, Albert You, Krishi Kishore, Zane Page, Shannon P. Quinn, Tim Heckman:
Temporal Word Embeddings Analysis for Disease Prevention. SciPy 2022: 171-178 - [c24]Nathan Safir, Meekail Zain, Curtis Godwin, Eric Miller, Bella Humphrey, Shannon P. Quinn:
Variational Autoencoders For Semi-Supervised Deep Metric Learning. SciPy 2022: 231-239 - [c23]Meekail Zain, Eric Miller, Shannon P. Quinn, Cecilia W. Lo:
Low Level Feature Extraction for Cilia Segmentation. SciPy 2022: 259- - 2021
- [c22]Neelima Pulagam, Marcus Hill, Mojtaba Sedigh Fazli, Rachel Mattson, Meekail Zain, Andrew Durden, Frederick D. Quinn, S. Chakra Chennubhotla, Shannon P. Quinn:
Classification of Diffuse Subcellular Morphologies. SciPy 2021: 115-122 - 2020
- [c21]Marcus Hill, Mojtaba Sedigh Fazli, Rachel Mattson, Meekail Zain, Andrew Durden, Allyson T. Loy, Barbara Reaves, Abigail Courtney, Frederick D. Quinn, S. Chakra Chennubhotla, Shannon P. Quinn:
Spectral Analysis of Mitochondrial Dynamics: A Graph-Theoretic Approach to Understanding Subcellular Pathology. SciPy 2020: 91-97 - [c20]Meekail Zain, Sonia Rao, Nathan Safir, Quinn Wyner, Isabella Humphrey, Alex Eldridge, Chenxiao Li, BahaaEddin AlAila, Shannon Quinn:
Towards an Unsupervised Spatiotemporal Representation of Cilia Video Using A Modular Generative Pipeline. SciPy 2020: 166- - 2019
- [c19]Mojtaba Sedigh Fazli, Rachel V. Stadler, BahaaEddin AlAila, Stephen Andrew Vella, Silvia N. J. Moreno, Gary E. Ward, Shannon Quinn:
Lightweight and Scalable Particle Tracking and Motion Clustering of 3D Cell Trajectories. DSAA 2019: 412-421 - [c18]Christian McDaniel, Shannon Quinn:
Developing a Graph Convolution-Based Analysis Pipeline for Multi-Modal Neuroimage Data: An Application to Parkinson's Disease. SciPy 2019: 42-49 - [c17]Rajeswari Sivakumar, Shannon Quinn:
Parkinson's Classification and Feature Extraction from Diffusion Tensor Images. SciPy 2019: 107-110 - 2018
- [c16]Mojtaba Sedigh Fazli, Stephen Andrew Vella, Silvia N. J. Moreno, Gary E. Ward, Shannon P. Quinn:
Toward Simple & Scalable 3D Cell Tracking. IEEE BigData 2018: 3217-3225 - [c15]Narita Pandhe, Balazs Rada, Shannon Quinn:
Generative spatiotemporal modeling of neutrophil behavior. ISBI 2018: 969-972 - [c14]Mojtaba Sedigh Fazli, Stephen Andrew Vella, Silvia N. J. Moreno, Shannon Quinn:
Unsupervised discovery of toxoplasma gondii motility phenotypes. ISBI 2018: 981-984 - [c13]Andrew Durden, Allyson T. Loy, Barbara Reaves, Mojtaba Sedigh Fazli, Abigail Courtney, Frederick D. Quinn, S. Chakra Chennubhotla, Shannon P. Quinn:
Dynamic Social Network Modeling of Diffuse Subcellular Morphologies. SciPy 2018: 1-7 - [c12]Christian McDaniel, Shannon Quinn:
Developing a Start-to-Finish Pipeline for Accelerometer-Based Activity Recognition Using Long Short-Term Memory Recurrent Neural Networks. SciPy 2018: 31-40 - 2017
- [c11]Charles Lu, Shannon Quinn:
Classification of Ciliary Motion with 3D Convolutional Neural Networks. ACM Southeast Regional Conference 2017: 235-238 - [c10]Brittany Norman, Tod Davis, Shannon Quinn, Robert Massey, Daniel Hirsh:
Automated identification of pediatric appendicitis score in emergency department notes using natural language processing. BHI 2017: 481-484 - [c9]Walid Shalaby, BahaaEddin AlAila, Mohammed Korayem, Layla Pournajaf, Khalifeh AlJadda, Shannon Quinn, Wlodek Zadrozny:
Help me find a job: A graph-based approach for job recommendation at scale. IEEE BigData 2017: 1544-1553 - [c8]Yu Zhao, Xiang Li, Milad Makkie, Shannon Quinn, Binbin Lin, Jieping Ye, Tianming Liu:
Template-guided Functional Network Identification via Supervised Dictionary Learning. ISBI 2017: 72-76 - 2016
- [c7]John A. Miller, Casey Bowman, Vishnu Gowda Harish, Shannon Quinn:
Open Source Big Data Analytics Frameworks Written in Scala. BigData Congress 2016: 389-393 - [c6]Geoffrey Mon, Milad Makkie, Xiang Li, Tianming Liu, Shannon Quinn:
Implementing dictionary learning in Apache Flink, Or: How I learned to relax and love iterations. IEEE BigData 2016: 2363-2367 - [c5]Milad Makkie, Xiang Li, Tianming Liu, Shannon Quinn, Binbin Lin, Jieping Ye:
Distributed rank-1 dictionary learning: Towards fast and scalable solutions for fMRI big data analytics. IEEE BigData 2016: 3396-3403 - [c4]Patrick Breen, Jane Kelly, Timothy Heckman, Shannon Quinn:
Mining Pre-Exposure Prophylaxis Trends in Social Media. DSAA 2016: 214-221 - [c3]Xiang Li, Milad Makkie, Binbin Lin, Mojtaba Sedigh Fazli, Ian Davidson, Jieping Ye, Tianming Liu, Shannon Quinn:
Scalable Fast Rank-1 Dictionary Learning for fMRI Big Data Analysis. KDD 2016: 511-519 - 2008
- [c2]Luís Pedro Coelho, Estelle Glory-Afshar, Joshua D. Kangas, Shannon Quinn, Aabid Shariff, Robert F. Murphy:
Principles of Bioimage Informatics: Focus on Machine Learning of Cell Patterns. BioLINK@ISMB/ECCB 2008: 8-18 - 2002
- [c1]Michael Dudzic, Shannon Quinn:
Predictive modeling using adaptive PLS desulphurization reagent control system. ACC 2002: 604-605
Informal and Other Publications
- 2019
- [i8]Roi Ceren, Shannon Quinn, Glen Raines:
Towards a Decentralized, Autonomous Multiagent Framework for Mitigating Crop Loss. CoRR abs/1901.02035 (2019) - [i7]Mojtaba Sedigh Fazli, Rachel V. Stadler, BahaaEddin AlAila, Stephen Andrew Vella, Silvia N. J. Moreno, Gary E. Ward, Shannon Quinn:
Lightweight and Scalable Particle Tracking and Motion Clustering of 3D Cell Trajectories. CoRR abs/1908.03775 (2019) - 2018
- [i6]Walid Shalaby, BahaaEddin AlAila, Mohammed Korayem, Layla Pournajaf, Khalifeh AlJadda, Shannon Quinn, Wlodek Zadrozny:
Help Me Find a Job: A Graph-based Approach for Job Recommendation at Scale. CoRR abs/1801.00377 (2018) - [i5]Mojtaba Sedigh Fazli, Stephen Andrew Vella, Silvia N. J. Moreno, Shannon Quinn:
Unsupervised Discovery of Toxoplasma gondii Motility Phenotypes. CoRR abs/1801.02591 (2018) - [i4]Charles Lu, Maurice Marx, Maliha Zahid, Cecilia W. Lo, Chakra Chennubhotla, Shannon P. Quinn:
Stacked Neural Networks for end-to-end ciliary motion analysis. CoRR abs/1803.07534 (2018) - [i3]Narita Pandhe, Balazs Rada, Shannon Quinn:
Generative Spatiotemporal Modeling Of Neutrophil Behavior. CoRR abs/1804.00393 (2018) - 2017
- [i2]Mojtaba Sedigh Fazli, Stephen Andrew Vella, Silvia N. J. Moreno, Shannon Quinn:
Computational Motility Tracking of Calcium Dynamics in Toxoplasma gondii. CoRR abs/1708.01871 (2017) - [i1]Milad Makkie, Xiang Li, Binbin Lin, Jieping Ye, Mojtaba Sedigh Fazli, Tianming Liu, Shannon Quinn:
Distributed rank-1 dictionary learning: Towards fast and scalable solutions for fMRI big data analytics. CoRR abs/1708.02638 (2017)
Coauthor Index
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