Shannon Quinn

Publication Activity (10 Years)

Years Active: 2002-2022
Publications (10 Years): 27

Top Topics

Dictionary Learning

Caenorhabditis Elegans

Convolutional Neural Networks

Top Venues

Publications

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)
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 (2020)
Mojtaba Sedigh Fazli, Marcus Hill, Andrew Durden, Rachel Mattson, Allyson Loy, Barbara Reaves, Abigail Courtney, Frederick 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) (2020)
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)
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) (2019)
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)
Rajeswari Sivakumar, Shannon Quinn
Parkinson's Classification and Feature Extraction from Diffusion Tensor Images. SciPy (2019)
Roi Ceren, Shannon Quinn, Glen Raines
Towards a Decentralized, Autonomous Multiagent Framework for Mitigating Crop Loss. CoRR (2019)
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 (2019)
Christian McDaniel, Shannon Quinn
Developing a Graph Convolution-Based Analysis Pipeline for Multi-Modal Neuroimage Data: An Application to Parkinson's Disease. SciPy (2019)
Mojtaba Sedigh Fazli, Stephen Andrew Vella, Silvia N. J. Moreno, Shannon Quinn
Unsupervised Discovery of Toxoplasma gondii Motility Phenotypes. CoRR (2018)
Mojtaba Sedigh Fazli, Stephen Andrew Vella, Silvia N. J. Moreno, Shannon Quinn
Unsupervised discovery of toxoplasma gondii motility phenotypes. ISBI (2018)
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 (2018)
Narita Pandhe, Balazs Rada, Shannon Quinn
Generative Spatiotemporal Modeling Of Neutrophil Behavior. CoRR (2018)
Narita Pandhe, Balazs Rada, Shannon Quinn
Generative spatiotemporal modeling of neutrophil behavior. ISBI (2018)
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)
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)
Charles Lu, Shannon Quinn
Classification of Ciliary Motion with 3D Convolutional Neural Networks. ACM Southeast Regional Conference (2017)
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)
Mojtaba Sedigh Fazli, Stephen Andrew Vella, Silvia N. J. Moreno, Shannon Quinn
Computational Motility Tracking of Calcium Dynamics in Toxoplasma gondii. CoRR (2017)
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 (2017)
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)
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)
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)
Patrick Breen, Jane Kelly, Timothy Heckman, Shannon Quinn
Mining Pre-Exposure Prophylaxis Trends in Social Media. DSAA (2016)
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)
John A. Miller, Casey Bowman, Vishnu Gowda Harish, Shannon Quinn
Open Source Big Data Analytics Frameworks Written in Scala. BigData Congress (2016)
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)
Michael Dudzic, Shannon Quinn
Predictive modeling using adaptive PLS desulphurization reagent control system. ACC (2002)