Brenda Praggastis

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 24

Top Topics

Systematic Evaluation

University Of North Carolina

Efficient Computation

Cache Management

Top Venues

Publications

Brenda Praggastis, Sinan Aksoy, Dustin Arendt, Mark Bonicillo, Cliff A. Joslyn, Emilie Purvine, Madelyn Shapiro, Ji Young Yun
HyperNetX: A Python package for modeling complex network data as hypergraphs. J. Open Source Softw. 9 (96) (2024)
Brenda Praggastis, Sinan Aksoy, Dustin Arendt, Mark Bonicillo, Cliff A. Joslyn, Emilie Purvine, Madelyn Shapiro, Ji Young Yun
HyperNetX: A Python package for modeling complex network data as hypergraphs. CoRR (2023)
Emilie Purvine, Davis Brown, Brett A. Jefferson, Cliff A. Joslyn, Brenda Praggastis, Archit Rathore, Madelyn Shapiro, Bei Wang, Youjia Zhou
Experimental Observations of the Topology of Convolutional Neural Network Activations. AAAI (2023)
Emilie Purvine, Davis Brown, Brett A. Jefferson, Cliff A. Joslyn, Brenda Praggastis, Archit Rathore, Madelyn Shapiro, Bei Wang, Youjia Zhou
Experimental Observations of the Topology of Convolutional Neural Network Activations. CoRR (2022)
Xu T. Liu, Jesun Firoz, Sinan Aksoy, Ilya Amburg, Andrew Lumsdaine, Cliff A. Joslyn, Assefaw H. Gebremedhin, Brenda Praggastis
High-order Line Graphs of Non-uniform Hypergraphs: Algorithms, Applications, and Experimental Analysis. CoRR (2022)
Xu T. Liu, Jesun Firoz, Sinan Aksoy, Ilya Amburg, Andrew Lumsdaine, Cliff A. Joslyn, Brenda Praggastis, Assefaw H. Gebremedhin
High-order Line Graphs of Non-uniform Hypergraphs: Algorithms, Applications, and Experimental Analysis. IPDPS (2022)
Brenda Praggastis, Davis Brown, Carlos Ortiz Marrero, Emilie Purvine, Madelyn Shapiro, Bei Wang
The SVD of Convolutional Weights: A CNN Interpretability Framework. CoRR (2022)
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
Hypergraph models of biological networks to identify genes critical to pathogenic viral response. BMC Bioinform. 22 (1) (2021)
Xu T. Liu, Jesun Firoz, Andrew Lumsdaine, Cliff A. Joslyn, Sinan Aksoy, Brenda Praggastis, Assefaw H. Gebremedhin
Parallel Algorithms for Efficient Computation of High-Order Line Graphs of Hypergraphs. HiPC (2021)
Cliff A. Joslyn, Lauren Charles, Chris DePerno, Nicholas Gould, Kathleen Nowak, Brenda Praggastis, Emilie Purvine, Michael Robinson, Jennifer Strules, Paul Whitney
A Sheaf Theoretical Approach to Uncertainty Quantification of Heterogeneous Geolocation Information. Sensors 20 (12) (2020)
Loc Truong, Chace Jones, Brian Hutchinson, Andrew August, Brenda Praggastis, Robert Jasper, Nicole Nichols, Aaron Tuor
Systematic Evaluation of Backdoor Data Poisoning Attacks on Image Classifiers. CVPR Workshops (2020)
Jesun Firoz, Xu T. Liu, Andrew Lumsdaine, Cliff A. Joslyn, Brenda Praggastis, Assefaw Hadish Gebremedhin
Efficient Computation of High-Order Line Graphs of Hypergraphs. CoRR (2020)
Cliff A. Joslyn, Sinan Aksoy, Tiffany J. Callahan, Lawrence E. Hunter, Brett A. Jefferson, Brenda Praggastis, Emilie A. H. Purvine, Ignacio J. Tripodi
Hypernetwork Science: From Multidimensional Networks to Computational Topology. CoRR (2020)
Jesun Sahariar Firoz, Louis Jenkins, Cliff A. Joslyn, Brenda Praggastis, Emilie Purvine, Mark Raugas
Computing Hypergraph Homology in Chapel. IPDPS Workshops (2020)
Cliff A. Joslyn, Sinan Aksoy, Dustin Arendt, Jesun Firoz, Louis Jenkins, Brenda Praggastis, Emilie Purvine, Marcin Zalewski
Hypergraph Analytics of Domain Name System Relationships. WAW (2020)
Sinan G. Aksoy, Cliff A. Joslyn, Carlos Ortiz Marrero, Brenda Praggastis, Emilie Purvine
Hypernetwork science via high-order hypergraph walks. EPJ Data Sci. 9 (1) (2020)
Loc Truong, Chace Jones, Brian Hutchinson, Andrew August, Brenda Praggastis, Robert Jasper, Nicole Nichols, Aaron Tuor
Systematic Evaluation of Backdoor Data Poisoning Attacks on Image Classifiers. CoRR (2020)
Emily Saldanha, Brenda Praggastis, Todd Billow, Dustin Lockhart Arendt
ReLVis: Visual Analytics for Situational Awareness During Reinforcement Learning Experimentation. EuroVis (Short Papers) (2019)
Sinan G. Aksoy, Cliff A. Joslyn, Carlos Ortiz Marrero, Brenda Praggastis, Emilie Purvine
Hypernetwork Science via High-Order Hypergraph Walks. CoRR (2019)
Emilie Purvine, Sinan G. Aksoy, Cliff A. Joslyn, Kathleen Nowak, Brenda Praggastis, Michael Robinson
A Topological Approach to Representational Data Models. HCI (4) (2018)
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
HyperThesis: Topological Hypothesis Management in a Hypergraph Knowledgebase. TAC (2018)
Rui Yan, Brenda Praggastis, William P. Smith, Deborah L. McGuinness
Towards A Cache-Enabled, Order-Aware, Ontology-Based Stream Reasoning Framework. LDOW@WWW (2016)
Brenda Praggastis
Maximal Sections of Sheaves of Data over an Abstract Simplicial Complex. CoRR (2016)
Rui Yan, Brenda Praggastis, William P. Smith, Deborah L. McGuinness
Towards Smart Cache Management for Ontology Based, History-Aware Stream Reasoning. LISC@ISWC (2015)