On Universal Cycles of Labeled Graphs. - Greg Brockman; Bill Kay; Emma E. Snively (Electron. J. Comb., 2010)

Graham's Tree Reconstruction Conjecture and a Waring-Type Problem on Partitions - Joshua N. Cooper; Bill Kay (CoRR, 2011)

Covering n-Permutations with (n+1)-Permutations. - Taylor F. Allison; Anant P. Godbole; Kathryn M. Hawley; Bill Kay (Electron. J. Comb., 2013)

Contributions to the Theory of de Bruijn Cycle. - André Alexander Campbell; Anant P. Godbole; Bill Kay (Integers, 2014)

Graph odometry. - Aaron Dutle; Bill Kay (Discret. Appl. Math., 2016)

Bounds on the maximum number of minimum dominating sets. - Samuel Connolly; Zachary Gabor; Anant P. Godbole; Bill Kay; Thomas Kelly 001 (Discret. Math., 2016)

The saturation number of induced subposets of the Boolean lattice. - Michael Ferrara; Bill Kay; Lucas Kramer; Ryan R. Martin; Benjamin Reiniger; Heather C. Smith; Eric Sullivan (Discret. Math., 2017)

The chromatic number of finite type-graphs. - Christian Avart; Bill Kay; Christian Reiher; Vojtech Rödl (J. Comb. Theory B, 2017)

The Minimum Number of Edges in Uniform Hypergraphs with Property O. - Dwight Duffus; Bill Kay; Vojtech Rödl (Comb. Probab. Comput., 2018)

Evolving Energy Efficient Convolutional Neural Networks. - Steven R. Young; Pravallika Devineni; Maryam Parsa; J. Travis Johnston; Bill Kay; Robert M. Patton; Catherine D. Schuman; Derek C. Rose; Thomas E. Potok (IEEE BigData, 2019)

A note on weak delta systems. - Andrii Arman; Bill Kay; Vojtech Rödl (Discret. Math., 2019)

Toward Quantifying Vulnerabilities in Critical Infrastructure Systems. - Pravallika Devineni; Bill Kay; Hao Lu 001; Anika Tabassum; Supriya Chinthavali; Sangkeun Matt Lee (IEEE BigData, 2020)

Modeling epidemic spread with spike-based models. - Kathleen E. Hamilton; Prasanna Date; Bill Kay; Catherine D. Schuman (ICONS, 2020)

Hyperparameter Optimization in Binary Communication Networks for Neuromorphic Deployment. - Maryam Parsa; Catherine D. Schuman; Prasanna Date; Derek C. Rose; Bill Kay; J. Parker Mitchell; Steven R. Young; Ryan Dellana; William Severa; Thomas E. Potok; Kaushik Roy 001 (IJCNN, 2020)

Resilience and Robustness of Spiking Neural Networks for Neuromorphic Systems. - Catherine D. Schuman; J. Parker Mitchell; J. Travis Johnston; Maryam Parsa; Bill Kay; Prasanna Date; Robert M. Patton (IJCNN, 2020)

Neuromorphic Graph Algorithms: Extracting Longest Shortest Paths and Minimum Spanning Trees. - Bill Kay; Prasanna Date; Catherine D. Schuman (NICE, 2020)

ROAD: The Real ORNL Automotive Dynamometer Controller Area Network Intrusion Detection Dataset (with a comprehensive CAN IDS dataset survey & guide). - Miki E. Verma; Michael D. Iannacone; Robert A. Bridges; Samuel C. Hollifield; Bill Kay; Frank L. Combs (CoRR, 2020)

The iterated local model for social networks. - Anthony Bonato; Huda Chuangpishit; Sean English; Bill Kay; Erin Meger (Discret. Appl. Math., 2020)

Identification of Critical Infrastructure via PageRank. - Bill Kay; Hao Lu 001; Pravallika Devineni; Anika Tabassum; Supriya Chinthavali; Sangkeun Matt Lee (IEEE BigData, 2021)

Efficient Contingency Analysis in Power Systems via Network Trigger Nodes. - Anika Tabassum; Supriya Chinthavali; Sangkeun Lee 002; Nils M. Stenvig; Bill Kay; P. Teja Kuruganti; B. Aditya Prakash (IEEE BigData, 2021)

Computational Complexity of Neuromorphic Algorithms. - Prasanna Date; Bill Kay; Catherine D. Schuman; Robert M. Patton; Thomas E. Potok (ICONS, 2021)

Neuromorphic Graph Algorithms: Cycle Detection, Odd Cycle Detection, and Max Flow. - Bill Kay; Catherine D. Schuman; Jade O'Connor; Prasanna Date; Thomas E. Potok (ICONS, 2021)

Accurate and Accelerated Neuromorphic Network Design Leveraging A Bayesian Hyperparameter Pareto Optimization Approach. - Maryam Parsa; Catherine D. Schuman; Nitin Rathi; Amirkoushyar Ziabari; Derek C. Rose; J. Parker Mitchell; J. Travis Johnston; Bill Kay; Steven R. Young; Kaushik Roy 001 (ICONS, 2021)

Sparse Binary Matrix-Vector Multiplication on Neuromorphic Computers. - Catherine D. Schuman; Bill Kay; Prasanna Date; Ramakrishnan Kannan; Piyush Sao; Thomas E. Potok (IPDPS Workshops, 2021)

Smoky Mountain Data Challenge 2021: An Open Call to Solve Scientific Data Challenges Using Advanced Data Analytics and Edge Computing. - Pravallika Devineni; Panchapakesan Ganesh; Nikhil Sivadas; Abhijeet Dhakane; Ketan Maheshwari; Drahomira Herrmannova; Ramakrishnan Kannan; Seung-Hwan Lim; Thomas E. Potok; Jordan B. Chipka; Priyantha Mudalige; Mark Coletti; et al. (SMC, 2021)

Avoiding Excess Computation in Asynchronous Evolutionary Algorithms. - Eric O. Scott; Mark Coletti; Catherine D. Schuman; Bill Kay; Shruti R. Kulkarni; Maryam Parsa; Kenneth A. De Jong (UKCI, 2021)

Improved Bounds for Burning Fence Graphs. - Anthony Bonato; Sean English; Bill Kay; Daniel Moghbel (Graphs Comb., 2021)

Neuromorphic Computing is Turing-Complete. - Prasanna Date; Thomas E. Potok; Catherine D. Schuman; Bill Kay (ICONS, 2022)

Opportunities for neuromorphic computing algorithms and applications. - Catherine D. Schuman; Shruti R. Kulkarni; Maryam Parsa; J. Parker Mitchell; Prasanna Date; Bill Kay (Nat. Comput. Sci., 2022)

Publisher Correction: Opportunities for neuromorphic computing algorithms and applications. - Catherine D. Schuman; Shruti R. Kulkarni; Maryam Parsa; J. Parker Mitchell; Prasanna Date; Bill Kay (Nat. Comput. Sci., 2022)

A review of non-cognitive applications for neuromorphic computing. - James B. Aimone; Prasanna Date; Gabriel A. Fonseca Guerra; Kathleen E. Hamilton; Kyle Henke; Bill Kay; Garrett T. Kenyon; Shruti R. Kulkarni; Susan M. Mniszewski; Maryam Parsa; Sumedh R. Risbud; Catherine D. Schuman; et al. (Neuromorph. Comput. Eng., 2022)

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 (DSC, 2023)

Topological Analysis of Temporal Hypergraphs. - Audun Myers; Cliff A. Joslyn; Bill Kay; Emilie Purvine; Gregory Roek; Madelyn Shapiro (WAW, 2023)

Seven open problems in applied combinatorics. - Sinan G. Aksoy; Ryan S. Bennink; Yuzhou Chen; José Frías; Yulia R. Gel; Bill Kay; Uwe Naumann; Carlos Ortiz Marrero; Anthony V. Petyuk; Sandip Roy 002; Ignacio Segovia-Dominguez; Nate Veldt; et al. (CoRR, 2023)

Community Detection in Hypergraphs via Mutual Information Maximization. - Jürgen Kritschgau; Daniel Kaiser 004; Oliver Alvarado Rodriguez; Ilya Amburg; Jessalyn Bolkema; Thomas Grubb; Fangfei Lan; Sepideh Maleki; Phil Chodrow; Bill Kay (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)

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)

Permutation Entropy for Signal Analysis. - Bill Kay; Audun Myers; Thad Boydston; Emily Ellwein; Cameron Mackenzie; Erik Lentz (CoRR, 2023)

Permutation Entropy for Signal Analysis. - Bill Kay; Audun Myers; Thad Boydston; Emily Ellwein; Cameron Mackenzie; Iliana Alvarez; Erik Lentz (Discret. Math. Theor. Comput. Sci., 2023)

Avoiding excess computation in asynchronous evolutionary algorithms. - Eric O. Scott; Mark Coletti; Catherine D. Schuman; Bill Kay; Shruti R. Kulkarni; Maryam Parsa; Chathika Gunaratne; Kenneth A. De Jong (Expert Syst. J. Knowl. Eng., 2023)

Entropic Analysis of Time Series through Kernel Density Estimation. - Audun Myers; Bill Kay; Iliana Alvarez; Michael Hughes; Cameron Mackenzie; Carlos Ortiz Marrero; Emily Ellwein; Erik Lentz (CoRR, 2025)