Predictive modeling using adaptive PLS desulphurization reagent control system. - Michael Dudzic; Shannon Quinn (ACC, 2002)

Principles of Bioimage Informatics: Focus on Machine Learning of Cell Patterns. - Luís Pedro Coelho; Estelle Glory-Afshar; Joshua D. Kangas; Shannon Quinn; Aabid Shariff; Robert F. Murphy (BioLINK@ISMB/ECCB, 2008)

ORBiT: Oak Ridge biosurveillance toolkit for public health dynamics. - Arvind Ramanathan; Laura L. Pullum; Tanner C. Hobson; Chad A. Steed; Shannon P. Quinn; Chakra S. Chennubhotla; Silvia Valkova (BMC Bioinform., 2015)

Open Source Big Data Analytics Frameworks Written in Scala. - John A. Miller 001; Casey Bowman; Vishnu Gowda Harish; Shannon Quinn (BigData Congress, 2016)

Distributed rank-1 dictionary learning: Towards fast and scalable solutions for fMRI big data analytics. - Milad Makkie; Xiang Li 001; Tianming Liu 001; Shannon Quinn; Binbin Lin; Jieping Ye (IEEE BigData, 2016)

Implementing dictionary learning in Apache Flink, Or: How I learned to relax and love iterations. - Geoffrey Mon; Milad Makkie; Xiang Li 001; Tianming Liu 001; Shannon Quinn (IEEE BigData, 2016)

Mining Pre-Exposure Prophylaxis Trends in Social Media. - Patrick Breen; Jane Kelly; Timothy Heckman; Shannon Quinn (DSAA, 2016)

Scalable Fast Rank-1 Dictionary Learning for fMRI Big Data Analysis. - Xiang Li 001; Milad Makkie; Binbin Lin; Mojtaba Sedigh Fazli; Ian Davidson; Jieping Ye; Tianming Liu 001; Shannon Quinn (KDD, 2016)

Classification of Ciliary Motion with 3D Convolutional Neural Networks. - Charles Lu 001; Shannon Quinn (ACM Southeast Regional Conference, 2017)

Automated identification of pediatric appendicitis score in emergency department notes using natural language processing. - Brittany Norman; Tod Davis; Shannon Quinn; Robert Massey; Daniel Hirsh (BHI, 2017)

Help me find a job: A graph-based approach for job recommendation at scale. - Walid Shalaby; BahaaEddin AlAila; Mohammed Korayem; Layla Pournajaf; Khalifeh AlJadda; Shannon Quinn; Wlodek Zadrozny (IEEE BigData, 2017)

Template-guided Functional Network Identification via Supervised Dictionary Learning. - Yu Zhao 007; Xiang Li 001; Milad Makkie; Shannon Quinn; Binbin Lin; Jieping Ye; Tianming Liu 001 (ISBI, 2017)

Computational Motility Tracking of Calcium Dynamics in Toxoplasma gondii. - Mojtaba Sedigh Fazli; Stephen Andrew Vella; Silvia N. J. Moreno; Shannon Quinn (CoRR, 2017)

Distributed rank-1 dictionary learning: Towards fast and scalable solutions for fMRI big data analytics. - Milad Makkie; Xiang Li 001; Binbin Lin; Jieping Ye; Mojtaba Sedigh Fazli; Tianming Liu 001; Shannon Quinn (CoRR, 2017)

Toward Simple & Scalable 3D Cell Tracking. - Mojtaba Sedigh Fazli; Stephen Andrew Vella; Silvia N. J. Moreno; Gary E. Ward; Shannon P. Quinn (IEEE BigData, 2018)

Unsupervised discovery of toxoplasma gondii motility phenotypes. - Mojtaba Sedigh Fazli; Stephen Andrew Vella; Silvia N. J. Moreno; Shannon Quinn (ISBI, 2018)

Generative spatiotemporal modeling of neutrophil behavior. - Narita Pandhe; Balazs Rada; Shannon Quinn (ISBI, 2018)

Dynamic Social Network Modeling of Diffuse Subcellular Morphologies. - Andrew Durden; Allyson T. Loy; Barbara Reaves; Mojtaba Sedigh Fazli; Abigail Courtney; Frederick D. Quinn; S. Chakra Chennubhotla; Shannon P. Quinn (SciPy, 2018)

Developing a Start-to-Finish Pipeline for Accelerometer-Based Activity Recognition Using Long Short-Term Memory Recurrent Neural Networks. - Christian McDaniel; Shannon Quinn (SciPy, 2018)

Stacked Neural Networks for end-to-end ciliary motion analysis. - Charles Lu 001; Maurice Marx; Maliha Zahid; Cecilia W. Lo; Chakra Chennubhotla 001; Shannon P. Quinn (CoRR, 2018)

Lightweight and Scalable Particle Tracking and Motion Clustering of 3D Cell Trajectories. - Mojtaba Sedigh Fazli; Rachel V. Stadler; BahaaEddin AlAila; Stephen Andrew Vella; Silvia N. J. Moreno; Gary E. Ward; Shannon Quinn (DSAA, 2019)

Developing a Graph Convolution-Based Analysis Pipeline for Multi-Modal Neuroimage Data: An Application to Parkinson's Disease. - Christian McDaniel; Shannon Quinn (SciPy, 2019)

Parkinson's Classification and Feature Extraction from Diffusion Tensor Images. - Rajeswari Sivakumar; Shannon Quinn (SciPy, 2019)

Towards a Decentralized, Autonomous Multiagent Framework for Mitigating Crop Loss. - Roi Ceren; Shannon Quinn; Glen Raines (CoRR, 2019)

A Distributed Computing Platform for fMRI Big Data Analytics. - Milad Makkie; Xiang Li 001; Shannon Quinn; Binbin Lin; Jieping Ye; Geoffrey Mon; Tianming Liu 001 (IEEE Trans. Big Data, 2019)

Spectral Analysis of Mitochondrial Dynamics: A Graph-Theoretic Approach to Understanding Subcellular Pathology. - 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 (SciPy, 2020)

Towards an Unsupervised Spatiotemporal Representation of Cilia Video Using A Modular Generative Pipeline. - Meekail Zain; Sonia Rao; Nathan Safir; Quinn Wyner; Isabella Humphrey; Alex Eldridge; Chenxiao Li; BahaaEddin AlAila; Shannon Quinn (SciPy, 2020)

Apache Mahout: Machine Learning on Distributed Dataflow Systems. - Robin Anil; Gökhan Çapan; Isabel Drost-Fromm; Ted Dunning; Ellen Friedman; Trevor Grant; Shannon Quinn; Paritosh Ranjan; Sebastian Schelter; Özgür Yilmazel (J. Mach. Learn. Res., 2020)

OrNet - a Python Toolkit to Model the Diffuse Structure of Organelles as Social Networks. - Mojtaba Sedigh Fazli; Marcus Hill; Andrew Durden; Rachel Mattson; Allyson T. Loy; Barbara Reaves; Abigail Courtney; Frederick D. Quinn; Chakra Chennubhotla 001; Shannon Quinn (J. Open Source Softw., 2020)

Classification of Diffuse Subcellular Morphologies. - Neelima Pulagam; Marcus Hill; Mojtaba Sedigh Fazli; Rachel Mattson; Meekail Zain; Andrew Durden; Frederick D. Quinn; S. Chakra Chennubhotla; Shannon P. Quinn (SciPy, 2021)

Incorporating Task-Agnostic Information in Task-Based Active Learning Using a Variational Autoencoder. - Curtis Godwin; Meekail Zain; Nathan Safir; Bella Humphrey; Shannon P. Quinn (SciPy, 2022)

Temporal Word Embeddings Analysis for Disease Prevention. - Nathan Jacobi; Ivan Mo; Albert You; Krishi Kishore; Zane Page; Shannon P. Quinn; Tim Heckman (SciPy, 2022)

Variational Autoencoders For Semi-Supervised Deep Metric Learning. - Nathan Safir; Meekail Zain; Curtis Godwin; Eric Miller; Bella Humphrey; Shannon P. Quinn (SciPy, 2022)

A Novel Pipeline for Cell Instance Segmentation, Tracking and Motility Classification of Toxoplasma Gondii in 3D Space. - Seyed Alireza Vaezi; Gianni Orlando; Mojtaba Sedigh Fazli; Gary E. Ward; Silvia N. J. Moreno; Shannon Quinn (SciPy, 2022)

Low Level Feature Extraction for Cilia Segmentation. - Meekail Zain; Eric Miller; Shannon P. Quinn; Cecilia W. Lo (SciPy, 2022)

Object Tracking in a 360o</ View: A Novel Perspective on Bridging the Gap to Biomedical Advancements. - Mojtaba Sedigh Fazli; Shannon Quinn (CoRR, 2024)