default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDThomas E. Potok
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[c87]Mark Coletti
, Chathika Gunaratne, Steven R. Young, Swetha Varadarajan, Robert M. Patton, Thomas E. Potok:
Efficacy of using a dynamic length representation vs. a fixed-length for neuroarchitecture search. GECCO Companion 2024: 1888-1894- 2023
- [c86]Prasanna Date, Chathika Gunaratne, Shruti R. Kulkarni, Robert M. Patton, Mark Coletti, Thomas E. Potok:
SuperNeuro: A Fast and Scalable Simulator for Neuromorphic Computing. ICONS 2023: 40:1-40:4 - [c85]Hao Lu, Piyush Sao, Michael A. Matheson, Ramakrishnan Kannan, Feiyi Wang, Thomas E. Potok:
Optimizing Communication in 2D Grid-Based MPI Applications at Exascale. EuroMPI 2023: 9:1-9:11 - [i11]Prasanna Date, Chathika Gunaratne, Shruti R. Kulkarni, Robert M. Patton, Mark Coletti, Thomas E. Potok:
SuperNeuro: A Fast and Scalable Simulator for Neuromorphic Computing. CoRR abs/2305.02510 (2023) - [i10]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 Schulz, Yuntian Deng, Weili Nie, Josh Romero, Christian Dallago, Arash Vahdat, Chaowei Xiao, Thomas Gibbs, Anima Anandkumar, Rick Stevens:
DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies. CoRR abs/2310.04610 (2023) - 2022
- [j13]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:
Evolutionary vs imitation learning for neuromorphic control at the edge. Neuromorph. Comput. Eng. 2(1): 14002 (2022) - [c84]Prasanna Date, Thomas E. Potok, Catherine D. Schuman, Bill Kay:
Neuromorphic Computing is Turing-Complete. ICONS 2022: 16:1-16:10 - [c83]Guojing Cong, Seung-Hwan Lim, Shruti R. Kulkarni, Prasanna Date, Thomas E. Potok, Shay Snyder, Maryam Parsa, Catherine D. Schuman:
Semi-Supervised Graph Structure Learning on Neuromorphic Computers. ICONS 2022: 28:1-28:4 - [c82]Prasanna Date, Shruti R. Kulkarni, Aaron R. Young, Catherine D. Schuman, Thomas E. Potok, Jeffrey S. Vetter:
Virtual Neuron: A Neuromorphic Approach for Encoding Numbers. ICRC 2022: 100-105 - [c81]Catherine D. Schuman, James S. Plank, Robert M. Patton, Thomas E. Potok, Garrett S. Rose:
A Framework to Enable Top-Down Co-Design of Neuromorphic Systems for Real-World Applications. NICE 2022: 84-85 - [c80]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:
Exaflops Biomedical Knowledge Graph Analytics. SC 2022: 6:1-6:11 - [c79]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:
Neuromorphic Computing for Scientific Applications. RSDHA@SC 2022: 22-28 - [e4]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:
ICONS 2022: International Conference on Neuromorphic Systems, Knoxville, TN, USA, July 27 - 29, 2022. ACM 2022, ISBN 978-1-4503-9789-6 [contents] - [i9]Prasanna Date, Shruti R. Kulkarni, Aaron R. Young, Catherine D. Schuman, Thomas E. Potok, Jeffrey S. Vetter:
Encoding Integers and Rationals on Neuromorphic Computers using Virtual Neuron. CoRR abs/2208.07468 (2022) - 2021
- [c78]Seung-Hwan Lim, Junghoon Chae, Guojing Cong, Drahomira Herrmannova, Robert M. Patton, Ramakrishnan Kannan, Thomas E. Potok:
Visual Understanding of COVID-19 Knowledge Graph for Predictive Analysis. IEEE BigData 2021: 4381-4386 - [c77]Piyush Sao, Hao Lu, Ramakrishnan Kannan, Vijay Thakkar, Richard W. Vuduc, Thomas E. Potok:
Scalable All-pairs Shortest Paths for Huge Graphs on Multi-GPU Clusters. HPDC 2021: 121-131 - [c76]Prasanna Date, Bill Kay, Catherine D. Schuman, Robert M. Patton, Thomas E. Potok:
Computational Complexity of Neuromorphic Algorithms. ICONS 2021: 8:1-8:7 - [c75]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:
Neuromorphic Computing for Autonomous Racing. ICONS 2021: 23:1-23:5 - [c74]Bill Kay, Catherine D. Schuman, Jade O'Connor, Prasanna Date, Thomas E. Potok:
Neuromorphic Graph Algorithms: Cycle Detection, Odd Cycle Detection, and Max Flow. ICONS 2021: 24:1-24:7 - [c73]Catherine D. Schuman, Bill Kay, Prasanna Date, Ramakrishnan Kannan, Piyush Sao, Thomas E. Potok:
Sparse Binary Matrix-Vector Multiplication on Neuromorphic Computers. IPDPS Workshops 2021: 308-311 - [c72]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:
Smoky Mountain Data Challenge 2021: An Open Call to Solve Scientific Data Challenges Using Advanced Data Analytics and Edge Computing. SMC 2021: 361-382 - [e3]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:
ICONS 2021: International Conference on Neuromorphic Systems 2021, Knoxville, TN, USA, July 27-29, 2021. ACM 2021, ISBN 978-1-4503-8691-3 [contents] - [i8]Prasanna Date, Catherine D. Schuman, Bill Kay, Thomas E. Potok:
Neuromorphic Computing is Turing-Complete. CoRR abs/2104.13983 (2021) - 2020
- [c71]J. Parker Mitchell, Catherine D. Schuman, Thomas E. Potok:
A Small, Low Cost Event-Driven Architecture for Spiking Neural Networks on FPGAs. ICONS 2020: 16:1-16:4 - [c70]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:
Hyperparameter Optimization in Binary Communication Networks for Neuromorphic Deployment. IJCNN 2020: 1-9 - [c69]Catherine D. Schuman, J. Parker Mitchell, Maryam Parsa, James S. Plank, Samuel D. Brown, Garrett S. Rose, Robert M. Patton, Thomas E. Potok:
Automated Design of Neuromorphic Networks for Scientific Applications at the Edge. IJCNN 2020: 1-7 - [c68]Catherine D. Schuman, J. Parker Mitchell, Robert M. Patton, Thomas E. Potok, James S. Plank:
Evolutionary Optimization for Neuromorphic Systems. NICE 2020: 2:1-2:9 - [c67]J. Parker Mitchell, Catherine D. Schuman, Robert M. Patton, Thomas E. Potok:
Caspian: A Neuromorphic Development Platform. NICE 2020: 8:1-8:6 - [c66]Ramakrishnan Kannan, Piyush Sao, Hao Lu, Drahomira Herrmannova, Vijay Thakkar, Robert M. Patton, Richard W. Vuduc, Thomas E. Potok:
Scalable knowledge graph analytics at 136 petaflop/s. SC 2020: 6 - [c65]Emily J. Herron, Steven R. Young, Thomas E. Potok:
Ensembles of Networks Produced from Neural Architecture Search. ISC Workshops 2020: 223-234 - [e2]Thomas E. Potok, Catherine D. Schuman:
Proceedings of the International Conference on Neuromorphic Systems, ICONS 2020, Oak Ridge, Tennessee, USA, July, 2020. ACM 2020, ISBN 978-1-4503-8851-1 [contents] - [i7]Mihaela Dimovska, Travis Johnston, Catherine D. Schuman, J. Parker Mitchell, Thomas E. Potok:
Multi-Objective Optimization for Size and Resilience of Spiking Neural Networks. CoRR abs/2002.01406 (2020) - [i6]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:
Hyperparameter Optimization in Binary Communication Networks for Neuromorphic Deployment. CoRR abs/2005.04171 (2020) - [i5]Prasanna Date, Thomas E. Potok:
Adiabatic Quantum Linear Regression. CoRR abs/2008.02355 (2020)
2010 – 2019
- 2019
- [j12]Prasanna Date, Robert M. Patton, Catherine D. Schuman, Thomas E. Potok:
Efficiently embedding QUBO problems on adiabatic quantum computers. Quantum Inf. Process. 18(4): 117 (2019) - [c64]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:
Exascale Deep Learning to Accelerate Cancer Research. IEEE BigData 2019: 1488-1496 - [c63]Maryam Parsa, J. Parker Mitchell, Catherine D. Schuman, Robert M. Patton, Thomas E. Potok, Kaushik Roy:
Bayesian-based Hyperparameter Optimization for Spiking Neuromorphic Systems. IEEE BigData 2019: 4472-4478 - [c62]Steven R. Young, Pravallika Devineni, Maryam Parsa, J. Travis Johnston, Bill Kay, Robert M. Patton, Catherine D. Schuman, Derek C. Rose, Thomas E. Potok:
Evolving Energy Efficient Convolutional Neural Networks. IEEE BigData 2019: 4479-4485 - [c61]Junghoon Chae, Catherine D. Schuman, Steven R. Young, J. Travis Johnston, Derek C. Rose, Robert M. Patton, Thomas E. Potok:
Visualization System for Evolutionary Neural Networks for Deep Learning. IEEE BigData 2019: 4498-4502 - [c60]Catherine D. Schuman, James S. Plank, Robert M. Patton, Thomas E. Potok:
Island model for parallel evolutionary optimization of spiking neuromorphic computing. GECCO (Companion) 2019: 306-307 - [c59]Linghao Song, Fan Chen, Steven R. Young, Catherine D. Schuman, Gabriel N. Perdue, Thomas E. Potok:
Deep Learning for Vertex Reconstruction of Neutrino-nucleus Interaction Events with Combined Energy and Time Data. ICASSP 2019: 3882-3886 - [c58]Jeremy T. Johnston, Steven R. Young, Catherine D. Schuman, Junghoon Chae, Don D. March, Robert M. Patton, Thomas E. Potok:
Fine-Grained Exploitation of Mixed Precision for Faster CNN Training. MLHPC@SC 2019: 9-18 - [c57]Mihaela Dimovska, Travis Johnston, Catherine D. Schuman, J. Parker Mitchell, Thomas E. Potok:
Multi-Objective Optimization for Size and Resilience of Spiking Neural Networks. UEMCON 2019: 433-439 - [e1]Thomas E. Potok, Catherine D. Schuman:
Proceedings of the International Conference on Neuromorphic Systems, ICONS 2019, Knoxville, Tennessee, USA, July 23-25, 2019. ACM 2019, ISBN 978-1-4503-7680-8 [contents] - [i4]Linghao Song, Fan Chen, Steven R. Young, Catherine D. Schuman, Gabriel N. Perdue, Thomas E. Potok:
Deep Learning for Vertex Reconstruction of Neutrino-Nucleus Interaction Events with Combined Energy and Time Data. CoRR abs/1902.00743 (2019) - [i3]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:
Exascale Deep Learning to Accelerate Cancer Research. CoRR abs/1909.12291 (2019) - 2018
- [j11]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:
Adiabatic Quantum Computation Applied to Deep Learning Networks. Entropy 20(5): 380 (2018) - [j10]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:
A Study of Complex Deep Learning Networks on High-Performance, Neuromorphic, and Quantum Computers. ACM J. Emerg. Technol. Comput. Syst. 14(2): 19:1-19:21 (2018) - [c56]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:
167-PFlops deep learning for electron microscopy: from learning physics to atomic manipulation. SC 2018: 50:1-50:11 - 2017
- [c55]Robert M. Patton, Drahomira Herrmannova, Christopher G. Stahl, Jack C. Wells, Thomas E. Potok:
Audience Based View of Publication Impact. WOSP@JCDL 2017: 64-68 - [c54]Catherine D. Schuman, Thomas E. Potok, Steven R. Young, Robert M. Patton, Gabriel N. Perdue, Gangotree Chakma, Austin Wyer, Garrett S. Rose:
Neuromorphic computing for temporal scientific data classification. NCS 2017: 2:1-2:6 - [c53]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:
Evolving Deep Networks Using HPC. MLHPC@SC 2017: 7:1-7:7 - [c52]Robert M. Patton, Thomas E. Potok, Petr Knoth, Drahomira Herrmannova:
Workshop on Scholarly Web Mining (SWM 2017). WSDM 2017: 819-820 - [i2]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:
A Study of Complex Deep Learning Networks on High Performance, Neuromorphic, and Quantum Computers. CoRR abs/1703.05364 (2017) - [i1]Catherine D. Schuman, Thomas E. Potok, Robert M. Patton, J. Douglas Birdwell, Mark E. Dean, Garrett S. Rose, James S. Plank:
A Survey of Neuromorphic Computing and Neural Networks in Hardware. CoRR abs/1705.06963 (2017) - 2016
- [c51]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:
A Study of Complex Deep Learning Networks on High Performance, Neuromorphic, and Quantum Computers. MLHPC@SC 2016: 47-55 - 2013
- [j9]Robert M. Patton, Christopher G. Stahl, Jayson B. Hines, Thomas E. Potok, Jack C. Wells:
Multi-year Content Analysis of User Facility Related Publications. D Lib Mag. 19(9/10) (2013) - [j8]Xiaohui Cui, Jesse St. Charles, Thomas E. Potok:
GPU enhanced parallel computing for large scale data clustering. Future Gener. Comput. Syst. 29(7): 1736-1741 (2013) - 2012
- [j7]Robert M. Patton, Christopher G. Stahl, Thomas E. Potok, Jack C. Wells:
Identification of User Facility Related Publications. D Lib Mag. 18(7/8) (2012) - [c50]Robert M. Patton, Wade McNair, Christopher T. Symons, Jim N. Treadwell, Thomas E. Potok:
A Text Analysis Approach to Motivate Knowledge Sharing via Microsoft SharePoint. HICSS 2012: 3670-3678 - [c49]Chad A. Steed, Christopher T. Symons, Frank DeNap, Thomas E. Potok:
Guided text analysis using adaptive visual analytics. Visualization and Data Analysis 2012: 829408 - 2011
- [j6]Yongpeng Zhang, Frank Mueller, Xiaohui Cui, Thomas E. Potok:
Data-intensive document clustering on graphics processing unit (GPU) clusters. J. Parallel Distributed Comput. 71(2): 211-224 (2011) - [c48]Justin M. Beaver, Robert M. Patton, Thomas E. Potok:
An approach to the automated determination of host information value. CICS 2011: 92-99 - [c47]Xiaohui Cui, Jesse St. Charles, Thomas E. Potok:
The GPU Enhanced Parallel Computing for Large Scale Data Clustering. CyberC 2011: 220-225 - [c46]Xiaohui Cui, Justin M. Beaver, Thomas E. Potok, Li Yang:
Visual Mining Intrusion Behaviors by Using Swarm Technology. HICSS 2011: 1-7 - [c45]Robert M. Patton, Justin M. Beaver, Thomas E. Potok:
Classification of Distributed Data Using Topic Modeling and Maximum Variation Sampling. HICSS 2011: 1-5 - [c44]Robert M. Patton, Carlos C. Rojas, Barbara G. Beckerman, Thomas E. Potok:
A Computational Framework for Search, Discovery, and Trending of Patient Health in Radiology Reports. HISB 2011: 104-111 - [c43]Robert M. Patton, Justin M. Beaver, Chad A. Steed, Thomas E. Potok, Jim N. Treadwell:
Hierarchical clustering and visualization of aggregate cyber data. IWCMC 2011: 1287-1291 - [p4]Robert M. Patton, Barbara G. Beckerman, Thomas E. Potok:
Analysis and Classification ofMammography Reports using Maximum Variation Sampling. Genetic and Evolutionary Computation: Medical Applications 2011 - 2010
- [c42]Robert M. Patton, Barbara G. Beckerman, Thomas E. Potok, Jim N. Treadwell:
Genetic algorithm for analysis of abdominal aortic aneurysms in radiology reports. GECCO (Companion) 2010: 1931-1936 - [c41]Robert M. Patton, Thomas E. Potok:
Discovering Potential Precursors of Mammography Abnormalities Based on Textual Features, Frequencies, and Sequences. ICAISC (1) 2010: 657-664 - [c40]Yongpeng Zhang, Frank Mueller, Xiaohui Cui, Thomas E. Potok:
Large-scale multi-dimensional document clustering on GPU clusters. IPDPS 2010: 1-10 - [c39]Xiaohui Cui, Justin M. Beaver, Everett Stiles, Laura Pullum, Brian A. Klump, Jim N. Treadwell, Thomas E. Potok:
The Swarm Model in Open Source Software Developer Communities. SocialCom/PASSAT 2010: 656-660
2000 – 2009
- 2009
- [c38]Xiaohui Cui, Justin M. Beaver, Jim N. Treadwell, Thomas E. Potok, Laura Pullum:
A Stigmergy Approach for Open Source Software Developer Community Simulation. CSE (4) 2009: 602-606 - [c37]Joseph M. Cavanagh, Thomas E. Potok, Xiaohui Cui:
Parallel latent semantic analysis using a graphics processing unit. GECCO (Companion) 2009: 2505-2510 - [c36]Robert M. Patton, Thomas E. Potok, Barbara G. Beckerman, Jim N. Treadwell:
A genetic algorithm for learning significant phrase patterns in radiology reports. GECCO (Companion) 2009: 2665-2670 - [c35]Justin M. Beaver, Xiaohui Cui, Jesse St. Charles, Thomas E. Potok:
Modeling success in FLOSS project groups. PROMISE 2009: 16 - [p3]Yu Jiao, Ali R. Hurson, Thomas E. Potok, Barbara G. Beckerman:
Integrating Mobile-Based Systems with Healthcare Databases. Database Technologies: Concepts, Methodologies, Tools, and Applications 2009: 484-504 - 2008
- [c34]Robert M. Patton, Jim N. Treadwell, Ryan A. Kerekes, Thomas E. Potok:
Discovery, analysis, and characteristics of event impacts. FUSION 2008: 1-8 - [c33]Robert M. Patton, Barbara G. Beckerman, Thomas E. Potok:
Analysis of mammography reports using maximum variation sampling. GECCO (Companion) 2008: 2061-2064 - [c32]Robert M. Patton, Thomas E. Potok:
Identifying Event Impacts by Monitoring the News Media. IV 2008: 333-337 - [c31]Xiaohui Cui, Jesse St. Charles, Thomas E. Potok:
A Simple Distributed Particle Swarm Optimization for Dynamic and Noisy Environments. NICSO 2008: 89-102 - [c30]Xiaohui Cui, Justin M. Beaver, Jesse St. Charles, Thomas E. Potok:
Dimensionality reduction particle swarm algorithm for high dimensional clustering. SIS 2008: 1-6 - 2007
- [c29]Robert M. Patton, Thomas E. Potok:
Discovering event evidence amid massive, dynamic datasets. GECCO (Companion) 2007: 2895-2900 - [c28]Mark T. Elmore, Thomas E. Potok:
Minitack: Software Agents and Semantic Web Technologies. HICSS 2007: 59 - [c27]Evens Jean, Yu Jiao, Ali R. Hurson, Thomas E. Potok:
Boosting-Based Distributed and Adaptive Security-Monitoring through Agent Collaboration. Web Intelligence/IAT Workshops 2007: 516-520 - [c26]Xiaohui Cui, Thomas E. Potok:
Distributed Adaptive Particle Swarm Optimizer in Dynamic Environment. IPDPS 2007: 1-7 - [c25]Xiaohui Cui, Thomas E. Potok:
A Particle Swarm Social Model for Multi-Agent Based Insurgency Warfare Simulation. SERA 2007: 177-183 - [c24]Machigar Ongtang, Ali R. Hurson, Yu Jiao, Thomas E. Potok:
Agent-Based Transactions Management for Mobile Multidatabase. WiMob 2007: 67 - [p2]Jesse St. Charles, Thomas E. Potok, Robert M. Patton, Xiaohui Cui:
Flocking-based Document Clustering on the Graphics Processing Unit. NICSO 2007: 27-37 - [p1]Xiaohui Cui, Robert M. Patton, Jim N. Treadwell, Thomas E. Potok:
Particle Swarm Based Collective Searching Model for Adaptive Environment. NICSO 2007: 211-220 - 2006
- [j5]Xiaohui Cui, Jinzhu Gao, Thomas E. Potok:
A flocking based algorithm for document clustering analysis. J. Syst. Archit. 52(8-9): 505-515 (2006) - [c23]Xiaohui Cui, Thomas E. Potok:
A Distributed Agent Implementation of Multiple Species Flocking Model for Document Partitioning Clustering. CIA 2006: 124-137 - [c22]Robert M. Patton, Thomas E. Potok:
Characterizing large text corpora using a maximum variation sampling genetic algorithm. GECCO 2006: 1877-1878 - [c21]Mark T. Elmore, Thomas E. Potok:
Minitrack Introduction. HICSS 2006 - [c20]Joel W. Reed, Yu Jiao, Thomas E. Potok, Brian A. Klump, Mark T. Elmore, Ali R. Hurson:
TF-ICF: A New Term Weighting Scheme for Clustering Dynamic Data Streams. ICMLA 2006: 258-263 - [c19]Peng Yan, Yu Jiao, Ali R. Hurson, Thomas E. Potok:
Semantic-based information retrieval of biomedical data. SAC 2006: 1700-1704 - [c18]Xiaohui Cui, Thomas E. Potok:
A Distributed Flocking Approach for Information Stream Clustering Analysis. SNPD 2006: 97-102 - [c17]Bo Yang, Ali R. Hurson, Yu Jiao, Thomas E. Potok:
Multimedia Correlation Analysis in Unstructured Peer-to-Peer Networks. WOWMOM 2006: 332-338 - 2005
- [c16]Paul J. Palathingal, Thomas E. Potok, Robert M. Patton:
Agent Based Approach for Searching, Mining and Managing Enormous Amounts of Spatial Image Data. FLAIRS 2005: 351-357 - [c15]Thomas E. Potok, Mark T. Elmore:
The Semantic Web: The Goal of Web Intelligence. HICSS 2005 - [c14]Kenneth W. Tobin, Budhendra L. Bhaduri, Eddie A. Bright, Anil M. Cheriyadat, Thomas P. Karnowski, Paul J. Palathingal, Thomas E. Potok, Jeffery R. Price:
Large-Scale Geospatial Indexing for Image-Based Retrieval and Analysis. ISVC 2005: 543-552 - [c13]Xiaohui Cui, C. Tim Hardin, Rammohan K. Ragade, Thomas E. Potok, Adel Said Elmaghraby:
Tracking Non-Stationary Optimal Solution by Particle Swarm Optimizer. SNPD 2005: 133-138 - [c12]Xiaohui Cui, Thomas E. Potok, Paul J. Palathingal:
Document clustering using particle swarm optimization. SIS 2005: 185-191 - 2004
- [j4]Frederick T. Sheldon, Thomas E. Potok, Krishna M. Kavi:
Multi-Agent System Case Studies in Command and Control, Information Fusion and Datat Managment. Informatica (Slovenia) 28(1): 78-89 (2004) - [c11]Frederick T. Sheldon, Thomas E. Potok, Andy Loebl, Axel W. Krings, Paul W. Oman:
Managing Secure Survivable Critical Infrastructures to Avoid Vulnerabilities. HASE 2004: 293-296 - [c10]