Thomas E. Potok

124 papers A 8B 5C 8Misc 5Journal 27Unranked 63

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	AI-Powered Knowledge Graphs for Neuromorphic and Energy-Efficient Computing. ACM Great Lakes Symposium on VLSI Ashish Gautam, Robert M. Patton, Thomas E. Potok, Ramakrishnan Kannan, James B. Aimone, William Severa
2025	J	`jnl`	HyperGraphX: Graph Transductive Learning with Hyperdimensional Computing and Message Passing. CoRR Guojing Cong, Thomas E. Potok, Hamed Poursiami, Maryam Parsa
2025	J	`jnl`	NeuroCoreX: An Open-Source FPGA-Based Spiking Neural Network Emulator with On-Chip Learning. CoRR Ashish Gautam, Prasanna Date, Shruti R. Kulkarni, Robert M. Patton, Thomas E. Potok
2025	J	`jnl`	VS-Graph: Scalable and Efficient Graph Classification Using Hyperdimensional Computing. CoRR Hamed Poursiami, Shay Snyder, Guojing Cong, Thomas E. Potok, Maryam Parsa
2024	—	`conf`	A Suppression-based STDP Rule Resilient to Jitter Noise in Spike Patterns for Neuromorphic Computing. ICONS Ashish Gautam, Takashi Kohno, Prasanna Date, Robert M. Patton, Thomas E. Potok
2024	—	`conf`	Efficacy of using a dynamic length representation vs. a fixed-length for neuroarchitecture search. GECCO Companion Mark Coletti, Chathika Gunaratne, Steven R. Young, Swetha Varadarajan, Robert M. Patton, Thomas E. Potok
2023	J	`jnl`	DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies. CoRR Shuaiwen Leon Song, Bonnie Kruft, Minjia Zhang, Conglong Li, Shiyang Chen, Chengming Zhang, Masahiro Tanaka, Xiaoxia Wu, Jeff Rasley, Ammar Ahmad Awan, Connor Holmes, Martin Cai, Adam Ghanem, Zhongzhu Zhou, Yuxiong He, Pete Luferenko, Divya Kumar, Jonathan A. Weyn, Ruixiong Zhang, Sylwester Klocek, Volodymyr Vragov, Mohammed AlQuraishi, Gustaf Ahdritz, Christina Floristean, Cristina Negri, Rao Kotamarthi, Venkatram Vishwanath, Arvind Ramanathan, Sam Foreman, Kyle Hippe, Troy Arcomano, Romit Maulik, Maxim Zvyagin, Alexander Brace, Bin Zhang, Cindy Orozco Bohorquez, Austin Clyde, Bharat Kale, Danilo Perez-Rivera, Heng Ma, Carla M. Mann, Michael W. Irvin, J. Gregory Pauloski, Logan T. Ward, Valérie Hayot-Sasson, Murali Emani, Zhen Xie, Diangen Lin, Maulik Shukla, Ian T. Foster, James J. Davis, Michael E. Papka, Thomas S. Brettin, Prasanna Balaprakash, Gina Tourassi, John Gounley, Heidi A. Hanson, Thomas E. Potok, Massimiliano Lupo Pasini, Kate Evans, Dan Lu, Dalton D. Lunga, Junqi Yin, Sajal Dash, Feiyi Wang, Mallikarjun Shankar, Isaac Lyngaas, Xiao Wang, Guojing Cong, Pei Zhang, Ming Fan, Siyan Liu, Adolfy Hoisie, Shinjae Yoo, Yihui Ren, William Tang, Kyle Felker, Alexey Svyatkovskiy, Hang Liu, Ashwin M. Aji, Angela Dalton, Michael J. Schulte, Karl W. Schulz, Yuntian Deng, Weili Nie, Josh Romero, Christian Dallago, Arash Vahdat, Chaowei Xiao, Thomas Gibbs, Anima Anandkumar, Rick Stevens
2023	C	`conf`	Optimizing Communication in 2D Grid-Based MPI Applications at Exascale. EuroMPI Hao Lu, Piyush Sao, Michael A. Matheson, Ramakrishnan Kannan, Feiyi Wang, Thomas E. Potok
2023	—	`conf`	SuperNeuro: A Fast and Scalable Simulator for Neuromorphic Computing. ICONS Prasanna Date, Chathika Gunaratne, Shruti R. Kulkarni, Robert M. Patton, Mark Coletti, Thomas E. Potok
2023	J	`jnl`	SuperNeuro: A Fast and Scalable Simulator for Neuromorphic Computing. CoRR Prasanna Date, Chathika Gunaratne, Shruti R. Kulkarni, Robert M. Patton, Mark Coletti, Thomas E. Potok
2022	—	`conf`	A Framework to Enable Top-Down Co-Design of Neuromorphic Systems for Real-World Applications. NICE Catherine D. Schuman, James S. Plank, Robert M. Patton, Thomas E. Potok, Garrett S. Rose
2022	J	`jnl`	Encoding Integers and Rationals on Neuromorphic Computers using Virtual Neuron. CoRR Prasanna Date, Shruti R. Kulkarni, Aaron R. Young, Catherine D. Schuman, Thomas E. Potok, Jeffrey S. Vetter
2022	J	`jnl`	Evolutionary vs imitation learning for neuromorphic control at the edge. Neuromorph. Comput. Eng. 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
2022	A	`conf`	Exaflops Biomedical Knowledge Graph Analytics. SC Ramakrishnan Kannan, Piyush Sao, Hao Lu, Jakub Kurzak, Gundolf Schenk, Yongmei Shi, Seung-Hwan Lim, Sharat Israni, Vijay Thakkar, Guojing Cong, Robert M. Patton, Sergio E. Baranzini, Richard W. Vuduc, Thomas E. Potok
2022	—	`ed.`	ICONS 2022: International Conference on Neuromorphic Systems, Knoxville, TN, USA, July 27 - 29, 2022 ICONS Thomas E. Potok, Catherine D. Schuman, Melika Payvand, Prasanna Date, Shruti R. Kulkarni, Yiran Chen, Robinson E. Pino, Brad Aimone, Mutsumi Kimura, Gregory Cohen, David Whittaker, Gordon Hirsch Wilson
2022	—	`conf`	Neuromorphic Computing for Scientific Applications. RSDHA@SC 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
2022	—	`conf`	Neuromorphic Computing is Turing-Complete. ICONS Prasanna Date, Thomas E. Potok, Catherine D. Schuman, Bill Kay
2022	—	`conf`	Semi-Supervised Graph Structure Learning on Neuromorphic Computers. ICONS Guojing Cong, Seung-Hwan Lim, Shruti R. Kulkarni, Prasanna Date, Thomas E. Potok, Shay Snyder, Maryam Parsa, Catherine D. Schuman
2022	—	`conf`	Virtual Neuron: A Neuromorphic Approach for Encoding Numbers. ICRC Prasanna Date, Shruti R. Kulkarni, Aaron R. Young, Catherine D. Schuman, Thomas E. Potok, Jeffrey S. Vetter
2021	—	`conf`	Computational Complexity of Neuromorphic Algorithms. ICONS Prasanna Date, Bill Kay, Catherine D. Schuman, Robert M. Patton, Thomas E. Potok
2021	—	`ed.`	ICONS 2021: International Conference on Neuromorphic Systems 2021, Knoxville, TN, USA, July 27-29, 2021 ICONS Thomas E. Potok, Melika Payvand, Catherine D. Schuman, Prasanna Date, Mutsumi Kimura, Cory E. Merkel, Brad Aimone, Sonia M. Buckley, Yiran Chen, Gregory Cohen, Todd Hylton, Robert M. Patton, Robinson E. Pino, Garrett S. Rose
2021	—	`conf`	Neuromorphic Computing for Autonomous Racing. ICONS 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
2021	J	`jnl`	Neuromorphic Computing is Turing-Complete. CoRR Prasanna Date, Catherine D. Schuman, Bill Kay, Thomas E. Potok
2021	—	`conf`	Neuromorphic Graph Algorithms: Cycle Detection, Odd Cycle Detection, and Max Flow. ICONS Bill Kay, Catherine D. Schuman, Jade O'Connor, Prasanna Date, Thomas E. Potok
2021	A	`conf`	Scalable All-pairs Shortest Paths for Huge Graphs on Multi-GPU Clusters. HPDC Piyush Sao, Hao Lu, Ramakrishnan Kannan, Vijay Thakkar, Richard W. Vuduc, Thomas E. Potok
2021	B	`conf`	Smoky Mountain Data Challenge 2021: An Open Call to Solve Scientific Data Challenges Using Advanced Data Analytics and Edge Computing. SMC 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, Sajal Dash, Arnab Kumar Paul, Sarp Oral, Feiyi Wang, Bill Kay, Melissa R. Allen-Dumas, Christa Brelsford, Joshua R. New, Andy Berres, Kuldeep R. Kurte, Jibonananda Sanyal, Levi Sweet, Chathika Gunaratne, Maxim A. Ziatdinov, Rama K. Vasudevan, Sergei V. Kalinin, Olivera Kotevska, Jean C. Bilheux, Hassina Z. Bilheux, Garrett E. Granroth, Thomas Proffen, Rick Riedel, Peter F. Peterson, Shruti R. Kulkarni, Kyle P. Kelley, Stephen Jesse, Maryam Parsa
2021	—	`conf`	Sparse Binary Matrix-Vector Multiplication on Neuromorphic Computers. IPDPS Workshops Catherine D. Schuman, Bill Kay, Prasanna Date, Ramakrishnan Kannan, Piyush Sao, Thomas E. Potok
2021	—	`conf`	Visual Understanding of COVID-19 Knowledge Graph for Predictive Analysis. IEEE BigData Seung-Hwan Lim, Junghoon Chae, Guojing Cong, Drahomira Herrmannova, Robert M. Patton, Ramakrishnan Kannan, Thomas E. Potok
2020	—	`conf`	A Small, Low Cost Event-Driven Architecture for Spiking Neural Networks on FPGAs. ICONS J. Parker Mitchell, Catherine D. Schuman, Thomas E. Potok
2020	J	`jnl`	Adiabatic Quantum Linear Regression. CoRR Prasanna Date, Thomas E. Potok
2020	B	`conf`	Automated Design of Neuromorphic Networks for Scientific Applications at the Edge. IJCNN Catherine D. Schuman, J. Parker Mitchell, Maryam Parsa, James S. Plank, Samuel D. Brown, Garrett S. Rose, Robert M. Patton, Thomas E. Potok
2020	—	`conf`	Caspian: A Neuromorphic Development Platform. NICE J. Parker Mitchell, Catherine D. Schuman, Robert M. Patton, Thomas E. Potok
2020	—	`conf`	Ensembles of Networks Produced from Neural Architecture Search. ISC Workshops Emily J. Herron, Steven R. Young, Thomas E. Potok
2020	—	`conf`	Evolutionary Optimization for Neuromorphic Systems. NICE Catherine D. Schuman, J. Parker Mitchell, Robert M. Patton, Thomas E. Potok, James S. Plank
2020	B	`conf`	Hyperparameter Optimization in Binary Communication Networks for Neuromorphic Deployment. IJCNN 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
2020	J	`jnl`	Hyperparameter Optimization in Binary Communication Networks for Neuromorphic Deployment. CoRR 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
2020	J	`jnl`	Multi-Objective Optimization for Size and Resilience of Spiking Neural Networks. CoRR Mihaela Dimovska, Travis Johnston, Catherine D. Schuman, J. Parker Mitchell, Thomas E. Potok
2020	—	`ed.`	Proceedings of the International Conference on Neuromorphic Systems, ICONS 2020, Oak Ridge, Tennessee, USA, July, 2020 ICONS Thomas E. Potok, Catherine D. Schuman
2020	A	`conf`	Scalable knowledge graph analytics at 136 petaflop/s. SC Ramakrishnan Kannan, Piyush Sao, Hao Lu, Drahomira Herrmannova, Vijay Thakkar, Robert M. Patton, Richard W. Vuduc, Thomas E. Potok
2019	—	`conf`	Bayesian-based Hyperparameter Optimization for Spiking Neuromorphic Systems. IEEE BigData Maryam Parsa, J. Parker Mitchell, Catherine D. Schuman, Robert M. Patton, Thomas E. Potok, Kaushik Roy
2019	J	`jnl`	Deep Learning for Vertex Reconstruction of Neutrino-Nucleus Interaction Events with Combined Energy and Time Data. CoRR Linghao Song, Fan Chen, Steven R. Young, Catherine D. Schuman, Gabriel N. Perdue, Thomas E. Potok
2019	Misc	`conf`	Deep Learning for Vertex Reconstruction of Neutrino-nucleus Interaction Events with Combined Energy and Time Data. ICASSP Linghao Song, Fan Chen, Steven R. Young, Catherine D. Schuman, Gabriel N. Perdue, Thomas E. Potok
2019	J	`jnl`	Efficiently embedding QUBO problems on adiabatic quantum computers. Quantum Inf. Process. Prasanna Date, Robert M. Patton, Catherine D. Schuman, Thomas E. Potok
2019	—	`conf`	Evolving Energy Efficient Convolutional Neural Networks. IEEE BigData Steven R. Young, Pravallika Devineni, Maryam Parsa, J. Travis Johnston, Bill Kay, Robert M. Patton, Catherine D. Schuman, Derek C. Rose, Thomas E. Potok
2019	—	`conf`	Exascale Deep Learning to Accelerate Cancer Research. IEEE BigData 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
2019	J	`jnl`	Exascale Deep Learning to Accelerate Cancer Research. CoRR Robert M. Patton, J. Travis Johnston, Steven R. Young, Catherine D. Schuman, Thomas E. Potok, Derek C. Rose, Seung-Hwan Lim, Junghoon Chae, Le Hou, Shahira Abousamra, Dimitris Samaras, Joel H. Saltz
2019	—	`conf`	Fine-Grained Exploitation of Mixed Precision for Faster CNN Training. MLHPC@SC Jeremy T. Johnston, Steven R. Young, Catherine D. Schuman, Junghoon Chae, Don D. March, Robert M. Patton, Thomas E. Potok
2019	—	`conf`	Island model for parallel evolutionary optimization of spiking neuromorphic computing. GECCO (Companion) Catherine D. Schuman, James S. Plank, Robert M. Patton, Thomas E. Potok
2019	—	`conf`	Multi-Objective Optimization for Size and Resilience of Spiking Neural Networks. UEMCON Mihaela Dimovska, Travis Johnston, Catherine D. Schuman, J. Parker Mitchell, Thomas E. Potok
2019	—	`ed.`	Proceedings of the International Conference on Neuromorphic Systems, ICONS 2019, Knoxville, Tennessee, USA, July 23-25, 2019 ICONS Thomas E. Potok, Catherine D. Schuman
2019	—	`conf`	Visualization System for Evolutionary Neural Networks for Deep Learning. IEEE BigData Junghoon Chae, Catherine D. Schuman, Steven R. Young, J. Travis Johnston, Derek C. Rose, Robert M. Patton, Thomas E. Potok
2018	A	`conf`	167-PFlops deep learning for electron microscopy: from learning physics to atomic manipulation. SC 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
2018	J	`jnl`	A Study of Complex Deep Learning Networks on High-Performance, Neuromorphic, and Quantum Computers. ACM J. Emerg. Technol. Comput. Syst. 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
2018	J	`jnl`	Adiabatic Quantum Computation Applied to Deep Learning Networks. Entropy 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
2017	J	`jnl`	A Study of Complex Deep Learning Networks on High Performance, Neuromorphic, and Quantum Computers. CoRR 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
2017	J	`jnl`	A Survey of Neuromorphic Computing and Neural Networks in Hardware. CoRR Catherine D. Schuman, Thomas E. Potok, Robert M. Patton, J. Douglas Birdwell, Mark E. Dean, Garrett S. Rose, James S. Plank
2017	—	`conf`	Audience Based View of Publication Impact. WOSP@JCDL Robert M. Patton, Drahomira Herrmannova, Christopher G. Stahl, Jack C. Wells, Thomas E. Potok
2017	—	`conf`	Evolving Deep Networks Using HPC. MLHPC@SC 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
2017	—	`conf`	Neuromorphic computing for temporal scientific data classification. NCS Catherine D. Schuman, Thomas E. Potok, Steven R. Young, Robert M. Patton, Gabriel N. Perdue, Gangotree Chakma, Austin Wyer, Garrett S. Rose
2017	A	`conf`	Workshop on Scholarly Web Mining (SWM 2017). WSDM Robert M. Patton, Thomas E. Potok, Petr Knoth, Drahomira Herrmannova
2016	—	`conf`	A Study of Complex Deep Learning Networks on High Performance, Neuromorphic, and Quantum Computers. MLHPC@SC 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
2013	J	`jnl`	GPU enhanced parallel computing for large scale data clustering. Future Gener. Comput. Syst. Xiaohui Cui, Jesse St. Charles, Thomas E. Potok
2013	J	`jnl`	Multi-year Content Analysis of User Facility Related Publications. D Lib Mag. Robert M. Patton, Christopher G. Stahl, Jayson B. Hines, Thomas E. Potok, Jack C. Wells
2012	—	`conf`	A Text Analysis Approach to Motivate Knowledge Sharing via Microsoft SharePoint. HICSS Robert M. Patton, Wade McNair, Christopher T. Symons, Jim N. Treadwell, Thomas E. Potok
2012	Misc	`conf`	Guided text analysis using adaptive visual analytics. Visualization and Data Analysis Chad A. Steed, Christopher T. Symons, Frank DeNap, Thomas E. Potok
2012	J	`jnl`	Identification of User Facility Related Publications. D Lib Mag. Robert M. Patton, Christopher G. Stahl, Thomas E. Potok, Jack C. Wells
2011	—	`conf`	A Computational Framework for Search, Discovery, and Trending of Patient Health in Radiology Reports. HISB Robert M. Patton, Carlos C. Rojas, Barbara G. Beckerman, Thomas E. Potok
2011	—	`conf`	An approach to the automated determination of host information value. CICS Justin M. Beaver, Robert M. Patton, Thomas E. Potok
2011	—	`ch.`	Analysis and Classification ofMammography Reports using Maximum Variation Sampling. Genetic and Evolutionary Computation: Medical Applications Robert M. Patton, Barbara G. Beckerman, Thomas E. Potok
2011	—	`conf`	Classification of Distributed Data Using Topic Modeling and Maximum Variation Sampling. HICSS Robert M. Patton, Justin M. Beaver, Thomas E. Potok
2011	J	`jnl`	Data-intensive document clustering on graphics processing unit (GPU) clusters. J. Parallel Distributed Comput. Yongpeng Zhang, Frank Mueller, Xiaohui Cui, Thomas E. Potok
2011	B	`conf`	Hierarchical clustering and visualization of aggregate cyber data. IWCMC Robert M. Patton, Justin M. Beaver, Chad A. Steed, Thomas E. Potok, Jim N. Treadwell
2011	—	`conf`	The GPU Enhanced Parallel Computing for Large Scale Data Clustering. CyberC Xiaohui Cui, Jesse St. Charles, Thomas E. Potok
2011	—	`conf`	Visual Mining Intrusion Behaviors by Using Swarm Technology. HICSS Xiaohui Cui, Justin M. Beaver, Thomas E. Potok, Li Yang
2010	—	`conf`	Discovering Potential Precursors of Mammography Abnormalities Based on Textual Features, Frequencies, and Sequences. ICAISC (1) Robert M. Patton, Thomas E. Potok
2010	—	`conf`	Genetic algorithm for analysis of abdominal aortic aneurysms in radiology reports. GECCO (Companion) Robert M. Patton, Barbara G. Beckerman, Thomas E. Potok, Jim N. Treadwell
2010	A	`conf`	Large-scale multi-dimensional document clustering on GPU clusters. IPDPS Yongpeng Zhang, Frank Mueller, Xiaohui Cui, Thomas E. Potok
2010	—	`conf`	The Swarm Model in Open Source Software Developer Communities. SocialCom/PASSAT Xiaohui Cui, Justin M. Beaver, Everett Stiles, Laura Pullum, Brian A. Klump, Jim N. Treadwell, Thomas E. Potok
2009	—	`conf`	A Stigmergy Approach for Open Source Software Developer Community Simulation. CSE (4) Xiaohui Cui, Justin M. Beaver, Jim N. Treadwell, Thomas E. Potok, Laura Pullum
2009	—	`conf`	A genetic algorithm for learning significant phrase patterns in radiology reports. GECCO (Companion) Robert M. Patton, Thomas E. Potok, Barbara G. Beckerman, Jim N. Treadwell
2009	—	`ch.`	Integrating Mobile-Based Systems with Healthcare Databases. Database Technologies: Concepts, Methodologies, Tools, and Applications Yu Jiao, Ali R. Hurson, Thomas E. Potok, Barbara G. Beckerman
2009	—	`conf`	Modeling success in FLOSS project groups. PROMISE Justin M. Beaver, Xiaohui Cui, Jesse St. Charles, Thomas E. Potok
2009	—	`conf`	Parallel latent semantic analysis using a graphics processing unit. GECCO (Companion) Joseph M. Cavanagh, Thomas E. Potok, Xiaohui Cui
2008	—	`conf`	A Simple Distributed Particle Swarm Optimization for Dynamic and Noisy Environments. NICSO Xiaohui Cui, Jesse St. Charles, Thomas E. Potok
2008	—	`conf`	Analysis of mammography reports using maximum variation sampling. GECCO (Companion) Robert M. Patton, Barbara G. Beckerman, Thomas E. Potok
2008	—	`conf`	Dimensionality reduction particle swarm algorithm for high dimensional clustering. SIS Xiaohui Cui, Justin M. Beaver, Jesse St. Charles, Thomas E. Potok
2008	C	`conf`	Discovery, analysis, and characteristics of event impacts. FUSION Robert M. Patton, Jim N. Treadwell, Ryan A. Kerekes, Thomas E. Potok
2008	C	`conf`	Identifying Event Impacts by Monitoring the News Media. IV Robert M. Patton, Thomas E. Potok
2007	C	`conf`	A Particle Swarm Social Model for Multi-Agent Based Insurgency Warfare Simulation. SERA Xiaohui Cui, Thomas E. Potok
2007	B	`conf`	Agent-Based Transactions Management for Mobile Multidatabase. WiMob Machigar Ongtang, Ali R. Hurson, Yu Jiao, Thomas E. Potok
2007	—	`conf`	Boosting-Based Distributed and Adaptive Security-Monitoring through Agent Collaboration. Web Intelligence/IAT Workshops Evens Jean, Yu Jiao, Ali R. Hurson, Thomas E. Potok
2007	—	`conf`	Discovering event evidence amid massive, dynamic datasets. GECCO (Companion) Robert M. Patton, Thomas E. Potok
2007	A	`conf`	Distributed Adaptive Particle Swarm Optimizer in Dynamic Environment. IPDPS Xiaohui Cui, Thomas E. Potok
2007	—	`ch.`	Flocking-based Document Clustering on the Graphics Processing Unit. NICSO Jesse St. Charles, Thomas E. Potok, Robert M. Patton, Xiaohui Cui
2007	—	`conf`	Minitack: Software Agents and Semantic Web Technologies. HICSS Mark T. Elmore, Thomas E. Potok
2007	—	`ch.`	Particle Swarm Based Collective Searching Model for Adaptive Environment. NICSO Xiaohui Cui, Robert M. Patton, Jim N. Treadwell, Thomas E. Potok
2006	—	`conf`	A Distributed Agent Implementation of Multiple Species Flocking Model for Document Partitioning Clustering. CIA Xiaohui Cui, Thomas E. Potok
2006	C	`conf`	A Distributed Flocking Approach for Information Stream Clustering Analysis. SNPD Xiaohui Cui, Thomas E. Potok
2006	J	`jnl`	A flocking based algorithm for document clustering analysis. J. Syst. Archit. Xiaohui Cui, Jinzhu Gao, Thomas E. Potok
2006	A	`conf`	Characterizing large text corpora using a maximum variation sampling genetic algorithm. GECCO Robert M. Patton, Thomas E. Potok
2006	—	`conf`	Minitrack Introduction. HICSS Mark T. Elmore, Thomas E. Potok
2006	C	`conf`	Multimedia Correlation Analysis in Unstructured Peer-to-Peer Networks. WOWMOM Bo Yang, Ali R. Hurson, Yu Jiao, Thomas E. Potok
2006	Misc	`conf`	Semantic-based information retrieval of biomedical data. SAC Peng Yan, Yu Jiao, Ali R. Hurson, Thomas E. Potok
2006	C	`conf`	TF-ICF: A New Term Weighting Scheme for Clustering Dynamic Data Streams. ICMLA Joel W. Reed, Yu Jiao, Thomas E. Potok, Brian A. Klump, Mark T. Elmore, Ali R. Hurson
2005	Misc	`conf`	Agent Based Approach for Searching, Mining and Managing Enormous Amounts of Spatial Image Data. FLAIRS Paul J. Palathingal, Thomas E. Potok, Robert M. Patton
2005	—	`conf`	Document clustering using particle swarm optimization. SIS Xiaohui Cui, Thomas E. Potok, Paul J. Palathingal
2005	Misc	`conf`	Large-Scale Geospatial Indexing for Image-Based Retrieval and Analysis. ISVC Kenneth W. Tobin, Budhendra L. Bhaduri, Eddie A. Bright, Anil M. Cheriyadat, Thomas P. Karnowski, Paul J. Palathingal, Thomas E. Potok, Jeffery R. Price
2005	—	`conf`	The Semantic Web: The Goal of Web Intelligence. HICSS Thomas E. Potok, Mark T. Elmore
2005	C	`conf`	Tracking Non-Stationary Optimal Solution by Particle Swarm Optimizer. SNPD Xiaohui Cui, C. Tim Hardin, Rammohan K. Ragade, Thomas E. Potok, Adel Said Elmaghraby
2004	—	`conf`	Adaptive Sampling of Text Documents. IASSE Robert M. Patton, Thomas E. Potok
2004	—	`conf`	Managing Secure Survivable Critical Infrastructures to Avoid Vulnerabilities. HASE Frederick T. Sheldon, Thomas E. Potok, Andy Loebl, Axel W. Krings, Paul W. Oman
2004	J	`jnl`	Multi-Agent System Case Studies in Command and Control, Information Fusion and Datat Managment. Informatica (Slovenia) Frederick T. Sheldon, Thomas E. Potok, Krishna M. Kavi
2004	—	`conf`	The Semantic Web: Structure and Critical Information Issues: Minitrack Introduction. HICSS Thomas E. Potok, Mark T. Elmore
2003	—	`conf`	An Ontology-Based Software Agent System Case Study. ITCC Frederick T. Sheldon, Mark T. Elmore, Thomas E. Potok
2003	—	`conf`	Suitability of Agent-Based Systems for Command and Control in Fault-Tolerant, Safety-Critical Responsive Decision Networks. PDCS Thomas E. Potok, Laurence R. Phillips, Robert Pollock, Andy Loebl, Frederick T. Sheldon
2003	—	`conf`	XML and the Semantic Web: Implications and Applications Minitrack Introduction. HICSS Joanne M. Curry, Carolyn McGregor, Thomas E. Potok, Mark T. Elmore
2002	—	`conf`	An Ontology-Based HTML to XML Conversion Using Intelligent Agents. HICSS Thomas E. Potok, Mark T. Elmore, Joel W. Reed, Nagiza F. Samatova
2000	—	`conf`	Agent-based Architecture for Flexible Lean Cell Design, Analysis and Evaluation. DIISM Thomas E. Potok, Nenad Ivezic, Nagiza F. Samatova
2000	—	`conf`	An Analysis of a Supply Chain Management Agent Architecture. ICMAS Nenad Ivezic, Mario Barbacci, John Robert, Don Libes, Thomas E. Potok
1999	J	`jnl`	Multiagent Framework for Lean Manufacturing. IEEE Internet Comput. Nenad Ivezic, Thomas E. Potok, Line Pouchard
1999	J	`jnl`	Productivity Analysis of Object-Oriented Software Development in a Commercial Environment. Softw. Pract. Exp. Thomas E. Potok, Mladen A. Vouk, Andy J. Rindos
1997	J	`jnl`	The Effects of the Business Model on Object-Oriented Software Development Productivity. IBM Syst. J. Thomas E. Potok, Mladen A. Vouk
1995	—	`conf`	Development productivity for commercial software using object-oriented methods. CASCON Thomas E. Potok, Mladen A. Vouk
1992	—	`conf`	Extensions to the spiral model to support joint development of complex software systems. ACM Southeast Regional Conference Thomas E. Potok