Emilie Purvine

According to our database, Emilie Purvine authored at least 31 papers between 2016 and 2023.

Collaborative distances:

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

2023

Topological Simplifications of Hypergraphs.

Youjia Zhou, Archit Rathore, Emilie Purvine, Bei Wang

IEEE Trans. Vis. Comput. Graph., July, 2023

Hypergraph Topological Features for Autoencoder-Based Intrusion Detection for Cybersecurity Data.

Bill Kay, Sinan G. Aksoy, Molly Baird, Daniel M. Best, Helen Jenne, Cliff A. Joslyn, Christopher Potvin, Gregory Henselman-Petrusek, Garret Seppala, Stephen J. Young, Emilie Purvine

CoRR, 2023

Stepping out of Flatland: Discovering Behavior Patterns as Topological Structures in Cyber Hypergraphs.

Helen Jenne, Sinan G. Aksoy, Daniel M. Best, Alyson Bittner, Gregory Henselman-Petrusek, Cliff A. Joslyn, Bill Kay, Audun Myers, Garret Seppala, Jackson Warley, Stephen J. Young, Emilie Purvine

CoRR, 2023

HyperNetX: A Python package for modeling complex network data as hypergraphs.

Brenda Praggastis, Sinan Aksoy, Dustin Arendt, Mark Bonicillo, Cliff A. Joslyn, Emilie Purvine, Madelyn Shapiro, Ji Young Yun

CoRR, 2023

G-Mapper: Learning a Cover in the Mapper Construction.

Enrique Alvarado, Robin Belton, Emily Fischer, Kang-Ju Lee, Sourabh Palande, Sarah Percival, Emilie Purvine

CoRR, 2023

Topological Analysis of Temporal Hypergraphs.

Audun Myers, Cliff A. Joslyn, Bill Kay, Emilie Purvine, Gregory Roek, Madelyn Shapiro

Proceedings of the Algorithms and Models for the Web Graph - 18th International Workshop, 2023

Malicious Cyber Activity Detection using Zigzag Persistence.

Audun Myers, Alyson Bittner, Sinan Aksoy, Daniel M. Best, Gregory Henselman-Petrusek, Helen Jenne, Cliff A. Joslyn, Bill Kay, Garret Seppala, Stephen J. Young, Emilie Purvine

Proceedings of the IEEE Conference on Dependable and Secure Computing, 2023

Experimental Observations of the Topology of Convolutional Neural Network Activations.

Emilie Purvine, Davis Brown, Brett A. Jefferson, Cliff A. Joslyn, Brenda Praggastis, Archit Rathore, Madelyn Shapiro, Bei Wang, Youjia Zhou

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

The SVD of Convolutional Weights: A CNN Interpretability Framework.

Brenda Praggastis, Davis Brown, Carlos Ortiz Marrero, Emilie Purvine, Madelyn Shapiro, Bei Wang

CoRR, 2022

Proceedings of TDA: Applications of Topological Data Analysis to Data Science, Artificial Intelligence, and Machine Learning Workshop at SDM 2022.

R. W. R. Darling, John A. Emanuello, Emilie Purvine, Ahmad Ridley

CoRR, 2022

2021

Hypergraph models of biological networks to identify genes critical to pathogenic viral response.

Song Feng, Emily Heath, Brett A. Jefferson, Cliff A. Joslyn, Henry Kvinge, Hugh D. Mitchell, Brenda Praggastis, Amie J. Eisfeld, Amy C. Sims, Larissa B. Thackray, Shufang Fan, Kevin B. Walters, Peter J. Halfmann, Danielle Westhoff-Smith, Qing Tan, Vineet D. Menachery, Timothy P. Sheahan, Adam S. Cockrell, Jacob F. Kocher, Kelly G. Stratton, Natalie C. Heller, Lisa M. Bramer, Michael S. Diamond, Ralph S. Baric, Katrina M. Waters, Yoshihiro Kawaoka, Jason E. McDermott, Emilie Purvine

BMC Bioinform., 2021

Con Connections: Detecting Fraud from Abstracts using Topological Data Analysis.

Sarah Tymochko, Julien Chaput, Timothy Doster, Emilie Purvine, Jackson Warley, Tegan Emerson

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

Sheaves as a Framework for Understanding and Interpreting Model Fit.

Henry Kvinge, Brett A. Jefferson, Cliff A. Joslyn, Emilie Purvine

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020

A Sheaf Theoretical Approach to Uncertainty Quantification of Heterogeneous Geolocation Information.

Cliff A. Joslyn, Lauren Charles, Chris DePerno, Nicholas Gould, Kathleen Nowak, Brenda Praggastis, Emilie Purvine, Michael Robinson, Jennifer Strules, Paul Whitney

Sensors, 2020

On homotopy types of Vietoris-Rips complexes of metric gluings.

Michal Adamaszek, Henry Adams, Ellen Gasparovic, Maria Gommel, Emilie Purvine, Radmila Sazdanovic, Bei Wang, Yusu Wang, Lori Ziegelmeier

J. Appl. Comput. Topol., 2020

Hypernetwork science via high-order hypergraph walks.

Sinan G. Aksoy, Cliff A. Joslyn, Carlos Ortiz Marrero, Brenda Praggastis, Emilie Purvine

EPJ Data Sci., 2020

Argumentative Topology: Finding Loop(holes) in Logic.

Sarah Tymochko, Zachary New, Lucius Bynum, Emilie Purvine, Timothy Doster, Julien Chaput, Tegan Emerson

CoRR, 2020

Directional Laplacian Centrality for Cyber Situational Awareness.

Sinan G. Aksoy, Emilie Purvine, Stephen J. Young

CoRR, 2020

Hypernetwork Science: From Multidimensional Networks to Computational Topology.

Cliff A. Joslyn, Sinan Aksoy, Tiffany J. Callahan, Lawrence E. Hunter, Brett A. Jefferson, Brenda Praggastis, Emilie A. H. Purvine, Ignacio J. Tripodi

CoRR, 2020

Hypergraph Analytics of Domain Name System Relationships.

Cliff A. Joslyn, Sinan Aksoy, Dustin Arendt, Jesun Firoz, Louis Jenkins, Brenda Praggastis, Emilie Purvine, Marcin Zalewski

Proceedings of the Algorithms and Models for the Web Graph - 17th International Workshop, 2020

Computing Hypergraph Homology in Chapel.

Jesun Sahariar Firoz, Louis Jenkins, Cliff A. Joslyn, Brenda Praggastis, Emilie Purvine, Mark Raugas

Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium Workshops, 2020

2019

The relationship between the intrinsic Čech and persistence distortion distances for metric graphs.

Ellen Gasparovic, Maria Gommel, Emilie Purvine, Radmila Sazdanovic, Bei Wang, Yusu Wang, Lori Ziegelmeier

J. Comput. Geom., 2019

Local Versus Global Distances for Zigzag Persistence Modules.

Ellen Gasparovic, Maria Gommel, Emilie Purvine, Radmila Sazdanovic, Bei Wang, Yusu Wang, Lori Ziegelmeier

CoRR, 2019

A generative graph model for electrical infrastructure networks.

Sinan G. Aksoy, Emilie Purvine, Eduardo Cotilla Sanchez, Mahantesh Halappanavar

J. Complex Networks, 2019

Relative Hausdorff distance for network analysis.

Sinan G. Aksoy, Kathleen E. Nowak, Emilie Purvine, Stephen J. Young

Appl. Netw. Sci., 2019

2018

HyperThesis: Topological Hypothesis Management in a Hypergraph Knowledgebase.

Cliff A. Joslyn, Michael Robinson, J. Smart, Khushbu Agarwal, David Bridgeland, Adam Brown, Sutanay Choudhury, Brett A. Jefferson, Brenda Praggastis, Emilie Purvine, William P. Smith, Dimitri Zarzhitsky

Proceedings of the 2018 Text Analysis Conference, 2018

A Topological Approach to Representational Data Models.

Emilie Purvine, Sinan G. Aksoy, Cliff A. Joslyn, Kathleen Nowak, Brenda Praggastis, Michael Robinson

Proceedings of the Human Interface and the Management of Information. Interaction, Visualization, and Analytics, 2018

Vietoris-Rips and Cech Complexes of Metric Gluings.

Michal Adamaszek, Henry Adams, Ellen Gasparovic, Maria Gommel, Emilie Purvine, Radmila Sazdanovic, Bei Wang, Yusu Wang, Lori Ziegelmeier

Proceedings of the 34th International Symposium on Computational Geometry, 2018

2017

Comparative study of clustering techniques for real-time dynamic model reduction.

Emilie Purvine, Eduardo Cotilla Sanchez, Mahantesh Halappanavar, Zhenyu Huang, Guang Lin, Shuai Lu, Shaobu Wang

Stat. Anal. Data Min., 2017

Interval-Valued Rank in Finite Ordered Sets.

Cliff A. Joslyn, Alex Pogel, Emilie Purvine

Order, 2017

2016

A Graph-Based Impact Metric for Mitigating Lateral Movement Cyber Attacks.

Emilie Purvine, John R. Johnson, Chaomei Lo

Proceedings of the 2016 ACM Workshop on Automated Decision Making for Active Cyber Defense, 2016