Extensions to the spiral model to support joint development of complex software systems. - Thomas E. Potok (ACM Southeast Regional Conference, 1992)

Development productivity for commercial software using object-oriented methods. - Thomas E. Potok; Mladen A. Vouk (CASCON, 1995)

The Effects of the Business Model on Object-Oriented Software Development Productivity. - Thomas E. Potok; Mladen A. Vouk (IBM Syst. J., 1997)

Multiagent Framework for Lean Manufacturing. - Nenad Ivezic; Thomas E. Potok; Line Pouchard (IEEE Internet Comput., 1999)

Productivity Analysis of Object-Oriented Software Development in a Commercial Environment. - Thomas E. Potok; Mladen A. Vouk; Andy J. Rindos (Softw. Pract. Exp., 1999)

An Analysis of a Supply Chain Management Agent Architecture. - Nenad Ivezic; Mario Barbacci; John Robert; Don Libes; Thomas E. Potok (ICMAS, 2000)

Agent-based Architecture for Flexible Lean Cell Design, Analysis and Evaluation. - Thomas E. Potok; Nenad Ivezic; Nagiza F. Samatova (DIISM, 2000)

An Ontology-Based HTML to XML Conversion Using Intelligent Agents. - Thomas E. Potok; Mark T. Elmore; Joel W. Reed; Nagiza F. Samatova (HICSS, 2002)

Suitability of Agent-Based Systems for Command and Control in Fault-Tolerant, Safety-Critical Responsive Decision Networks. - Thomas E. Potok; Laurence R. Phillips; Robert Pollock; Andy Loebl; Frederick T. Sheldon (PDCS, 2003)

XML and the Semantic Web: Implications and Applications Minitrack Introduction. - Joanne M. Curry; Carolyn McGregor; Thomas E. Potok; Mark T. Elmore (HICSS, 2003)

An Ontology-Based Software Agent System Case Study. - Frederick T. Sheldon; Mark T. Elmore; Thomas E. Potok (ITCC, 2003)

Managing Secure Survivable Critical Infrastructures to Avoid Vulnerabilities. - Frederick T. Sheldon; Thomas E. Potok; Andy Loebl; Axel W. Krings; Paul W. Oman (HASE, 2004)

The Semantic Web: Structure and Critical Information Issues: Minitrack Introduction. - Thomas E. Potok; Mark T. Elmore (HICSS, 2004)

Adaptive Sampling of Text Documents. - Robert M. Patton; Thomas E. Potok (IASSE, 2004)

Multi-Agent System Case Studies in Command and Control, Information Fusion and Datat Managment. - Frederick T. Sheldon; Thomas E. Potok; Krishna M. Kavi (Informatica (Slovenia), 2004)

Agent Based Approach for Searching, Mining and Managing Enormous Amounts of Spatial Image Data. - Paul J. Palathingal; Thomas E. Potok; Robert M. Patton (FLAIRS, 2005)

The Semantic Web: The Goal of Web Intelligence. - Thomas E. Potok; Mark T. Elmore (HICSS, 2005)

Large-Scale Geospatial Indexing for Image-Based Retrieval and Analysis. - Kenneth W. Tobin; Budhendra L. Bhaduri; Eddie A. Bright; Anil M. Cheriyadat; Thomas P. Karnowski; Paul J. Palathingal; Thomas E. Potok; Jeffery R. Price (ISVC, 2005)

Tracking Non-Stationary Optimal Solution by Particle Swarm Optimizer. - Xiaohui Cui; C. Tim Hardin; Rammohan K. Ragade; Thomas E. Potok; Adel Said Elmaghraby (SNPD, 2005)

Document clustering using particle swarm optimization. - Xiaohui Cui; Thomas E. Potok; Paul J. Palathingal (SIS, 2005)

A Distributed Agent Implementation of Multiple Species Flocking Model for Document Partitioning Clustering. - Xiaohui Cui; Thomas E. Potok (CIA, 2006)

Characterizing large text corpora using a maximum variation sampling genetic algorithm. - Robert M. Patton; Thomas E. Potok (GECCO, 2006)

Minitrack Introduction. - Mark T. Elmore; Thomas E. Potok (HICSS, 2006)

TF-ICF: A New Term Weighting Scheme for Clustering Dynamic Data Streams. - Joel W. Reed; Yu Jiao; Thomas E. Potok; Brian A. Klump; Mark T. Elmore; Ali R. Hurson (ICMLA, 2006)

Semantic-based information retrieval of biomedical data. - Peng Yan; Yu Jiao; Ali R. Hurson; Thomas E. Potok (SAC, 2006)

A Distributed Flocking Approach for Information Stream Clustering Analysis. - Xiaohui Cui; Thomas E. Potok (SNPD, 2006)

Multimedia Correlation Analysis in Unstructured Peer-to-Peer Networks. - Bo Yang 005; Ali R. Hurson; Yu Jiao; Thomas E. Potok (WOWMOM, 2006)

A flocking based algorithm for document clustering analysis. - Xiaohui Cui; Jinzhu Gao; Thomas E. Potok (J. Syst. Archit., 2006)

Discovering event evidence amid massive, dynamic datasets. - Robert M. Patton; Thomas E. Potok (GECCO (Companion), 2007)

Minitack: Software Agents and Semantic Web Technologies. - Mark T. Elmore; Thomas E. Potok (HICSS, 2007)

Boosting-Based Distributed and Adaptive Security-Monitoring through Agent Collaboration. - Evens Jean; Yu Jiao; Ali R. Hurson; Thomas E. Potok (Web Intelligence/IAT Workshops, 2007)

Distributed Adaptive Particle Swarm Optimizer in Dynamic Environment. - Xiaohui Cui; Thomas E. Potok (IPDPS, 2007)

A Particle Swarm Social Model for Multi-Agent Based Insurgency Warfare Simulation. - Xiaohui Cui; Thomas E. Potok (SERA, 2007)

Agent-Based Transactions Management for Mobile Multidatabase. - Machigar Ongtang; Ali R. Hurson; Yu Jiao; Thomas E. Potok (WiMob, 2007)

Flocking-based Document Clustering on the Graphics Processing Unit. - Jesse St. Charles; Thomas E. Potok; Robert M. Patton; Xiaohui Cui (NICSO, 2007)

Particle Swarm Based Collective Searching Model for Adaptive Environment. - Xiaohui Cui; Robert M. Patton; Jim N. Treadwell; Thomas E. Potok (NICSO, 2007)

Discovery, analysis, and characteristics of event impacts. - Robert M. Patton; Jim N. Treadwell; Ryan A. Kerekes; Thomas E. Potok (FUSION, 2008)

Analysis of mammography reports using maximum variation sampling. - Robert M. Patton; Barbara G. Beckerman; Thomas E. Potok (GECCO (Companion), 2008)

Identifying Event Impacts by Monitoring the News Media. - Robert M. Patton; Thomas E. Potok (IV, 2008)

A Simple Distributed Particle Swarm Optimization for Dynamic and Noisy Environments. - Xiaohui Cui; Jesse St. Charles; Thomas E. Potok (NICSO, 2008)

Dimensionality reduction particle swarm algorithm for high dimensional clustering. - Xiaohui Cui; Justin M. Beaver; Jesse St. Charles; Thomas E. Potok (SIS, 2008)

Integrating Mobile-Based Systems with Healthcare Databases. - Yu Jiao; Ali R. Hurson; Thomas E. Potok; Barbara G. Beckerman (Database Technologies: Concepts, Methodologies, Tools, and Applications, 2009)

A Stigmergy Approach for Open Source Software Developer Community Simulation. - Xiaohui Cui; Justin M. Beaver; Jim N. Treadwell; Thomas E. Potok; Laura Pullum (CSE (4), 2009)

Parallel latent semantic analysis using a graphics processing unit. - Joseph M. Cavanagh; Thomas E. Potok; Xiaohui Cui (GECCO (Companion), 2009)

A genetic algorithm for learning significant phrase patterns in radiology reports. - Robert M. Patton; Thomas E. Potok; Barbara G. Beckerman; Jim N. Treadwell (GECCO (Companion), 2009)

Modeling success in FLOSS project groups. - Justin M. Beaver; Xiaohui Cui; Jesse St. Charles; Thomas E. Potok (PROMISE, 2009)

Genetic algorithm for analysis of abdominal aortic aneurysms in radiology reports. - Robert M. Patton; Barbara G. Beckerman; Thomas E. Potok; Jim N. Treadwell (GECCO (Companion), 2010)

Discovering Potential Precursors of Mammography Abnormalities Based on Textual Features, Frequencies, and Sequences. - Robert M. Patton; Thomas E. Potok (ICAISC (1), 2010)

Large-scale multi-dimensional document clustering on GPU clusters. - Yongpeng Zhang; Frank Mueller 001; Xiaohui Cui; Thomas E. Potok (IPDPS, 2010)

The Swarm Model in Open Source Software Developer Communities. - Xiaohui Cui; Justin M. Beaver; Everett Stiles; Laura Pullum; Brian A. Klump; Jim N. Treadwell; Thomas E. Potok (SocialCom/PASSAT, 2010)

Analysis and Classification ofMammography Reports using Maximum Variation Sampling. - Robert M. Patton; Barbara G. Beckerman; Thomas E. Potok (Genetic and Evolutionary Computation: Medical Applications, 2011)

An approach to the automated determination of host information value. - Justin M. Beaver; Robert M. Patton; Thomas E. Potok (CICS, 2011)

Visual Mining Intrusion Behaviors by Using Swarm Technology. - Xiaohui Cui; Justin M. Beaver; Thomas E. Potok; Li Yang 001 (HICSS, 2011)

Classification of Distributed Data Using Topic Modeling and Maximum Variation Sampling. - Robert M. Patton; Justin M. Beaver; Thomas E. Potok (HICSS, 2011)

A Computational Framework for Search, Discovery, and Trending of Patient Health in Radiology Reports. - Robert M. Patton; Carlos C. Rojas; Barbara G. Beckerman; Thomas E. Potok (HISB, 2011)

Hierarchical clustering and visualization of aggregate cyber data. - Robert M. Patton; Justin M. Beaver; Chad A. Steed; Thomas E. Potok; Jim N. Treadwell (IWCMC, 2011)

Data-intensive document clustering on graphics processing unit (GPU) clusters. - Yongpeng Zhang; Frank Mueller 001; Xiaohui Cui; Thomas E. Potok (J. Parallel Distributed Comput., 2011)

A Text Analysis Approach to Motivate Knowledge Sharing via Microsoft SharePoint. - Robert M. Patton; Wade McNair; Christopher T. Symons; Jim N. Treadwell; Thomas E. Potok (HICSS, 2012)

Guided text analysis using adaptive visual analytics. - Chad A. Steed; Christopher T. Symons; Frank DeNap; Thomas E. Potok (Visualization and Data Analysis, 2012)

Identification of User Facility Related Publications. - Robert M. Patton; Christopher G. Stahl; Thomas E. Potok; Jack C. Wells (D Lib Mag., 2012)

Multi-year Content Analysis of User Facility Related Publications. - Robert M. Patton; Christopher G. Stahl; Jayson B. Hines; Thomas E. Potok; Jack C. Wells (D Lib Mag., 2013)

GPU enhanced parallel computing for large scale data clustering. - Xiaohui Cui; Jesse St. Charles; Thomas E. Potok (Future Gener. Comput. Syst., 2013)

Audience Based View of Publication Impact. - Robert M. Patton; Drahomira Herrmannova; Christopher G. Stahl; Jack C. Wells; Thomas E. Potok (WOSP@JCDL, 2017)

Neuromorphic computing for temporal scientific data classification. - Catherine D. Schuman; Thomas E. Potok; Steven R. Young; Robert M. Patton; Gabriel N. Perdue; Gangotree Chakma; Austin Wyer; Garrett S. Rose (NCS, 2017)

Evolving Deep Networks Using HPC. - Steven R. Young; Derek C. Rose; J. Travis Johnston; William T. Heller; Thomas P. Karnowski; Thomas E. Potok; Robert M. Patton; Gabriel N. Perdue; Jonathan A. Miller (MLHPC@SC, 2017)

Workshop on Scholarly Web Mining (SWM 2017). - Robert M. Patton; Thomas E. Potok; Petr Knoth; Drahomira Herrmannova (WSDM, 2017)

A Survey of Neuromorphic Computing and Neural Networks in Hardware. - Catherine D. Schuman; Thomas E. Potok; Robert M. Patton; J. Douglas Birdwell; Mark E. Dean; Garrett S. Rose; James S. Plank (CoRR, 2017)

167-PFlops deep learning for electron microscopy: from learning physics to atomic manipulation. - Robert M. Patton; J. Travis Johnston; Steven R. Young; Catherine D. Schuman; Don D. March; Thomas E. Potok; Derek C. Rose; Seung-Hwan Lim; Thomas P. Karnowski; Maxim A. Ziatdinov; Sergei V. Kalinin (SC, 2018)

Adiabatic Quantum Computation Applied to Deep Learning Networks. - Jeremy Liu; Federico M. Spedalieri; Ke-Thia Yao; Thomas E. Potok; Catherine D. Schuman; Steven R. Young; Robert M. Patton; Garrett S. Rose; Gangotree Chakma (Entropy, 2018)

A Study of Complex Deep Learning Networks on High-Performance, Neuromorphic, and Quantum Computers. - Thomas E. Potok; Catherine D. Schuman; Steven R. Young; Robert M. Patton; Federico M. Spedalieri; Jeremy Liu; Ke-Thia Yao; Garrett S. Rose; Gangotree Chakma (ACM J. Emerg. Technol. Comput. Syst., 2018)

Visualization System for Evolutionary Neural Networks for Deep Learning. - Junghoon Chae; Catherine D. Schuman; Steven R. Young; J. Travis Johnston; Derek C. Rose; Robert M. Patton; Thomas E. Potok (IEEE BigData, 2019)

Bayesian-based Hyperparameter Optimization for Spiking Neuromorphic Systems. - Maryam Parsa; J. Parker Mitchell; Catherine D. Schuman; Robert M. Patton; Thomas E. Potok; Kaushik Roy 001 (IEEE BigData, 2019)

Exascale Deep Learning to Accelerate Cancer Research. - Robert M. Patton; Shahira Abousamra; Dimitris Samaras; Joel H. Saltz; J. Travis Johnston; Steven R. Young; Catherine D. Schuman; Thomas E. Potok; Derek C. Rose; Seung-Hwan Lim; Junghoon Chae; Le Hou (IEEE BigData, 2019)

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)

Island model for parallel evolutionary optimization of spiking neuromorphic computing. - Catherine D. Schuman; James S. Plank; Robert M. Patton; Thomas E. Potok (GECCO (Companion), 2019)

Deep Learning for Vertex Reconstruction of Neutrino-nucleus Interaction Events with Combined Energy and Time Data. - Linghao Song; Fan Chen 001; Steven R. Young; Catherine D. Schuman; Gabriel N. Perdue; Thomas E. Potok (ICASSP, 2019)

Fine-Grained Exploitation of Mixed Precision for Faster CNN Training. - Jeremy T. Johnston; Steven R. Young; Catherine D. Schuman; Junghoon Chae; Don D. March; Robert M. Patton; Thomas E. Potok (MLHPC@SC, 2019)

Multi-Objective Optimization for Size and Resilience of Spiking Neural Networks. - Mihaela Dimovska; Travis Johnston; Catherine D. Schuman; J. Parker Mitchell; Thomas E. Potok (UEMCON, 2019)

Efficiently embedding QUBO problems on adiabatic quantum computers. - Prasanna Date; Robert M. Patton; Catherine D. Schuman; Thomas E. Potok (Quantum Inf. Process., 2019)

A Small, Low Cost Event-Driven Architecture for Spiking Neural Networks on FPGAs. - J. Parker Mitchell; Catherine D. Schuman; Thomas E. Potok (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)

Automated Design of Neuromorphic Networks for Scientific Applications at the Edge. - Catherine D. Schuman; J. Parker Mitchell; Maryam Parsa; James S. Plank; Samuel D. Brown; Garrett S. Rose; Robert M. Patton; Thomas E. Potok (IJCNN, 2020)

Caspian: A Neuromorphic Development Platform. - J. Parker Mitchell; Catherine D. Schuman; Robert M. Patton; Thomas E. Potok (NICE, 2020)

Evolutionary Optimization for Neuromorphic Systems. - Catherine D. Schuman; J. Parker Mitchell; Robert M. Patton; Thomas E. Potok; James S. Plank (NICE, 2020)

Scalable knowledge graph analytics at 136 petaflop/s. - Ramakrishnan Kannan; Piyush Sao; Hao Lu 001; Drahomira Herrmannova; Vijay Thakkar; Robert M. Patton; Richard W. Vuduc; Thomas E. Potok (SC, 2020)

Ensembles of Networks Produced from Neural Architecture Search. - Emily J. Herron; Steven R. Young; Thomas E. Potok (ISC Workshops, 2020)

Adiabatic Quantum Linear Regression. - Prasanna Date; Thomas E. Potok (CoRR, 2020)

Visual Understanding of COVID-19 Knowledge Graph for Predictive Analysis. - Seung-Hwan Lim; Junghoon Chae; Guojing Cong; Drahomira Herrmannova; Robert M. Patton; Ramakrishnan Kannan; Thomas E. Potok (IEEE BigData, 2021)

Scalable All-pairs Shortest Paths for Huge Graphs on Multi-GPU Clusters. - Piyush Sao; Hao Lu 001; Ramakrishnan Kannan; Vijay Thakkar; Richard W. Vuduc; Thomas E. Potok (HPDC, 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)

Neuromorphic Computing for Autonomous Racing. - Robert M. Patton; Catherine D. Schuman; Shruti R. Kulkarni; Maryam Parsa; J. Parker Mitchell; Nicholas Quentin Haas; Christopher G. Stahl; Spencer Paulissen; Prasanna Date; Thomas E. Potok; Shay Sneider (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)

Semi-Supervised Graph Structure Learning on Neuromorphic Computers. - Guojing Cong; Seung-Hwan Lim; Shruti R. Kulkarni; Prasanna Date; Thomas E. Potok; Shay Snyder; Maryam Parsa; Catherine D. Schuman (ICONS, 2022)

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

Virtual Neuron: A Neuromorphic Approach for Encoding Numbers. - Prasanna Date; Shruti R. Kulkarni; Aaron R. Young; Catherine D. Schuman; Thomas E. Potok; Jeffrey S. Vetter (ICRC, 2022)

A Framework to Enable Top-Down Co-Design of Neuromorphic Systems for Real-World Applications. - Catherine D. Schuman; James S. Plank; Robert M. Patton; Thomas E. Potok; Garrett S. Rose (NICE, 2022)

Exaflops Biomedical Knowledge Graph Analytics. - Ramakrishnan Kannan; Piyush Sao; Hao Lu 001; Jakub Kurzak; Gundolf Schenk; Yongmei Shi; Seung-Hwan Lim; Sharat Israni; Vijay Thakkar; Guojing Cong; Robert M. Patton; Sergio E. Baranzini; et al. (SC, 2022)

Neuromorphic Computing for Scientific Applications. - Robert M. Patton; Prasanna Date; Shruti R. Kulkarni; Chathika Gunaratne; Seung-Hwan Lim; Guojing Cong; Steven R. Young; Mark Coletti; Thomas E. Potok; Catherine D. Schuman (RSDHA@SC, 2022)

Encoding Integers and Rationals on Neuromorphic Computers using Virtual Neuron. - Prasanna Date; Shruti R. Kulkarni; Aaron R. Young; Catherine D. Schuman; Thomas E. Potok; Jeffrey S. Vetter (CoRR, 2022)

Evolutionary vs imitation learning for neuromorphic control at the edge. - Catherine D. Schuman; Robert M. Patton; Shruti R. Kulkarni; Maryam Parsa; Christopher G. Stahl; Nicholas Quentin Haas; J. Parker Mitchell; Shay Snyder; Amelie Nagle; Alexandra Shanafield; Thomas E. Potok (Neuromorph. Comput. Eng., 2022)

SuperNeuro: A Fast and Scalable Simulator for Neuromorphic Computing. - Prasanna Date; Chathika Gunaratne; Shruti R. Kulkarni; Robert M. Patton; Mark Coletti; Thomas E. Potok (ICONS, 2023)

Optimizing Communication in 2D Grid-Based MPI Applications at Exascale. - Hao Lu 001; Piyush Sao; Michael A. Matheson; Ramakrishnan Kannan; Feiyi Wang; Thomas E. Potok (EuroMPI, 2023)

DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies. - Shuaiwen Leon Song; Bonnie Kruft; Minjia Zhang; Conglong Li; Shiyang Chen 004; Chengming Zhang 006; Masahiro Tanaka; Xiaoxia Wu; Jeff Rasley; Ammar Ahmad Awan; Connor Holmes; Martin Cai; et al. (CoRR, 2023)

Efficacy of using a dynamic length representation vs. a fixed-length for neuroarchitecture search. - Mark Coletti; Chathika Gunaratne; Steven R. Young; Swetha Varadarajan; Robert M. Patton; Thomas E. Potok (GECCO Companion, 2024)

A Suppression-based STDP Rule Resilient to Jitter Noise in Spike Patterns for Neuromorphic Computing. - Ashish Gautam; Takashi Kohno; Prasanna Date; Robert M. Patton; Thomas E. Potok (ICONS, 2024)

AI-Powered Knowledge Graphs for Neuromorphic and Energy-Efficient Computing. - Ashish Gautam; Robert M. Patton; Thomas E. Potok; Ramakrishnan Kannan; James B. Aimone; William Severa (ACM Great Lakes Symposium on VLSI, 2025)

NeuroCoreX: An Open-Source FPGA-Based Spiking Neural Network Emulator with On-Chip Learning. - Ashish Gautam; Prasanna Date; Shruti R. Kulkarni; Robert M. Patton; Thomas E. Potok (CoRR, 2025)