Shannon Quinn

According to our database, Shannon Quinn authored at least 35 papers between 2002 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

Low Level Feature Extraction for Cilia Segmentation.

Meekail Zain, Eric Miller, Shannon P. Quinn, Cecilia W. Lo

Proceedings of the 21st Python in Science Conference 2022, 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

Proceedings of the 21st Python in Science Conference 2022, 2022

Variational Autoencoders For Semi-Supervised Deep Metric Learning.

Nathan Safir, Meekail Zain, Curtis Godwin, Eric Miller, Bella Humphrey, Shannon P. Quinn

Proceedings of the 21st Python in Science Conference 2022, 2022

Temporal Word Embeddings Analysis for Disease Prevention.

Nathan Jacobi, Ivan Mo, Albert You, Krishi Kishore, Zane Page, Shannon P. Quinn, Tim Heckman

Proceedings of the 21st Python in Science Conference 2022, 2022

Incorporating Task-Agnostic Information in Task-Based Active Learning Using a Variational Autoencoder.

Curtis Godwin, Meekail Zain, Nathan Safir, Bella Humphrey, Shannon P. Quinn

Proceedings of the 21st Python in Science Conference 2022, 2022

2021

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

Proceedings of the 20th Python in Science Conference 2021 (SciPy 2021), Virtual Conference, July 12, 2021

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, Shannon Quinn

J. Open Source Softw., 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

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

Proceedings of the 19th Python in Science Conference 2020 (SciPy 2020), Virtual Conference, July 6, 2020

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

Proceedings of the 19th Python in Science Conference 2020 (SciPy 2020), Virtual Conference, July 6, 2020

2019

A Distributed Computing Platform for fMRI Big Data Analytics.

Milad Makkie, Xiang Li, Shannon Quinn, Binbin Lin, Jieping Ye, Geoffrey Mon, Tianming Liu

IEEE Trans. Big Data, 2019

Towards a Decentralized, Autonomous Multiagent Framework for Mitigating Crop Loss.

Roi Ceren, Shannon Quinn, Glen Raines

CoRR, 2019

Parkinson's Classification and Feature Extraction from Diffusion Tensor Images.

Rajeswari Sivakumar, Shannon Quinn

Proceedings of the 18th Python in Science Conference 2019 (SciPy 2019), Austin, Texas, July 8, 2019

Developing a Graph Convolution-Based Analysis Pipeline for Multi-Modal Neuroimage Data: An Application to Parkinson's Disease.

Christian McDaniel, Shannon Quinn

Proceedings of the 18th Python in Science Conference 2019 (SciPy 2019), Austin, Texas, July 8, 2019

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

Proceedings of the 2019 IEEE International Conference on Data Science and Advanced Analytics, 2019

2018

Stacked Neural Networks for end-to-end ciliary motion analysis.

Charles Lu, Maurice Marx, Maliha Zahid, Cecilia W. Lo, Chakra Chennubhotla, Shannon P. Quinn

CoRR, 2018

Developing a Start-to-Finish Pipeline for Accelerometer-Based Activity Recognition Using Long Short-Term Memory Recurrent Neural Networks.

Christian McDaniel, Shannon Quinn

Proceedings of the 17th Python in Science Conference 2018 (SciPy 2018), Austin, Texas, July 9, 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

Proceedings of the 17th Python in Science Conference 2018 (SciPy 2018), Austin, Texas, July 9, 2018

Generative spatiotemporal modeling of neutrophil behavior.

Narita Pandhe, Balazs Rada, Shannon Quinn

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Unsupervised discovery of toxoplasma gondii motility phenotypes.

Mojtaba Sedigh Fazli, Stephen Andrew Vella, Silvia N. J. Moreno, Shannon Quinn

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Toward Simple & Scalable 3D Cell Tracking.

Mojtaba Sedigh Fazli, Stephen Andrew Vella, Silvia N. J. Moreno, Gary E. Ward, Shannon P. Quinn

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

Distributed rank-1 dictionary learning: Towards fast and scalable solutions for fMRI big data analytics.

Milad Makkie, Xiang Li, Binbin Lin, Jieping Ye, Mojtaba Sedigh Fazli, Tianming Liu, Shannon Quinn

CoRR, 2017

Computational Motility Tracking of Calcium Dynamics in Toxoplasma gondii.

Mojtaba Sedigh Fazli, Stephen Andrew Vella, Silvia N. J. Moreno, Shannon Quinn

CoRR, 2017

Template-guided Functional Network Identification via Supervised Dictionary Learning.

Yu Zhao, Xiang Li, Milad Makkie, Shannon Quinn, Binbin Lin, Jieping Ye, Tianming Liu

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 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

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 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

Proceedings of the 2017 IEEE EMBS International Conference on Biomedical & Health Informatics, 2017

Classification of Ciliary Motion with 3D Convolutional Neural Networks.

Charles Lu, Shannon Quinn

Proceedings of the 2017 ACM Southeast Regional Conference, 2017

2016

Scalable Fast Rank-1 Dictionary Learning for fMRI Big Data Analysis.

Xiang Li, Milad Makkie, Binbin Lin, Mojtaba Sedigh Fazli, Ian Davidson, Jieping Ye, Tianming Liu, Shannon Quinn

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Mining Pre-Exposure Prophylaxis Trends in Social Media.

Patrick Breen, Jane Kelly, Timothy Heckman, Shannon Quinn

Proceedings of the 2016 IEEE International Conference on Data Science and Advanced Analytics, 2016

Implementing dictionary learning in Apache Flink, Or: How I learned to relax and love iterations.

Geoffrey Mon, Milad Makkie, Xiang Li, Tianming Liu, Shannon Quinn

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Distributed rank-1 dictionary learning: Towards fast and scalable solutions for fMRI big data analytics.

Milad Makkie, Xiang Li, Tianming Liu, Shannon Quinn, Binbin Lin, Jieping Ye

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Open Source Big Data Analytics Frameworks Written in Scala.

John A. Miller, Casey Bowman, Vishnu Gowda Harish, Shannon Quinn

Proceedings of the 2016 IEEE International Congress on Big Data, San Francisco, CA, USA, June 27, 2016

2015

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., December, 2015

2008

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

Proceedings of the Linking Literature, Information, and Knowledge for Biology, 2008

2002

Predictive modeling using adaptive PLS desulphurization reagent control system.

Michael Dudzic, Shannon Quinn

Proceedings of the American Control Conference, 2002