Robert M. Patton

87 papers A 6B 5C 2Misc 2Journal 19Unranked 48

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Transplatformer: translating toxicogenomic profiles between generations of platforms. BMC Bioinform. Guojing Cong, Robert M. Patton, Frank Chao, Daniel L. Svoboda, Jeremy N. Erickson, Michele R. Balik-Meisner, Deepak Mav, Dhiral P. Phadke, Elizabeth H. Scholl, Ruchir R. Shah, Scott S. Auerbach
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`	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
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	—	`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`	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	—	`conf`	Genetic programming for understanding cognitive biases that generate polarization in social networks. GECCO Companion Chathika Gunaratne, Robert M. Patton
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`	Training reinforcement learning models via an adversarial evolutionary algorithm. ICPP Workshops Mark Coletti, Chathika Gunaratne, Catherine D. Schuman, Robert M. Patton
2021	J	`jnl`	An Oracle and Observations for the OpenAI Gym / ALE Freeway Environment. CoRR James S. Plank, Catherine D. Schuman, Robert M. Patton
2021	—	`conf`	Computational Complexity of Neuromorphic Algorithms. ICONS Prasanna Date, Bill Kay, Catherine D. Schuman, Robert M. Patton, Thomas E. Potok
2021	—	`conf`	Diagnosing autonomous vehicle driving criteria with an adversarial evolutionary algorithm. GECCO Companion Mark A. Coletti, Shang Gao, Spencer Paulissen, Nicholas Quentin Haas, Robert M. Patton
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	—	`conf`	Quantitative Evaluation of Autonomous Driving in CARLA. IV Workshops Shang Gao, Spencer Paulissen, Mark Coletti, Robert M. Patton
2021	J	`jnl`	Towards establishing a research lineage via identification of significant citations. Quant. Sci. Stud. Tirthankar Ghosal, Piyush Tiwary, Robert M. Patton, Christopher G. Stahl
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
2021	—	`conf`	Weak Supervision for Scientific Document Relevance Tagging. JCDL Drahomira Herrmannova, Chathika Gunaratne, Vickie Walker, Andrew A. Rooney, Robert M. Patton, Mary Wolfe, Charles Schmitt
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`	Evolutionary Optimization for Neuromorphic Systems. NICE Catherine D. Schuman, J. Parker Mitchell, Robert M. Patton, Thomas E. Potok, James S. Plank
2020	—	`conf`	FLEET: Flexible Efficient Ensemble Training for Heterogeneous Deep Neural Networks. MLSys Hui Guan, Laxmikant Kishor Mokadam, Xipeng Shen, Seung-Hwan Lim, Robert M. Patton
2020	—	`ed.`	Proceedings of the First Workshop on Scholarly Document Processing, SDP@EMNLP 2020, Online, November 19, 2020 SDP@EMNLP Muthu Kumar Chandrasekaran, Anita de Waard, Guy Feigenblat, Dayne Freitag, Tirthankar Ghosal, Eduard H. Hovy, Petr Knoth, David Konopnicki, Philipp Mayr, Robert M. Patton, Michal Shmueli-Scheuer
2020	B	`conf`	Resilience and Robustness of Spiking Neural Networks for Neuromorphic Systems. IJCNN Catherine D. Schuman, J. Parker Mitchell, J. Travis Johnston, Maryam Parsa, Bill Kay, Prasanna Date, Robert M. Patton
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`	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`	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
2018	B	`conf`	Analyzing Citation-Distance Networks for Evaluating Publication Impact. LREC Drahomira Herrmannova, Petr Knoth, Robert M. Patton
2018	J	`jnl`	Do Citations and Readership Identify Seminal Publications? CoRR Drahomira Herrmannova, Robert M. Patton, Petr Knoth, Christopher G. Stahl
2018	J	`jnl`	Do citations and readership identify seminal publications? Scientometrics Drahomira Herrmannova, Robert M. Patton, Petr Knoth, Christopher G. Stahl
2018	A	`conf`	Exploring flexible communications for streamlining DNN ensemble training pipelines. SC Randall Pittman, Hui Guan, Xipeng Shen, Seung-Hwan Lim, Robert M. Patton
2018	—	`conf`	Research Collaboration Analysis Using Text and Graph Features. CICLing (2) Drahomira Herrmannova, Petr Knoth, Christopher G. Stahl, Robert M. Patton, Jack C. Wells
2018	—	`conf`	Unsupervised Identification of Study Descriptors in Toxicology Research: An Experimental Study. Louhi@EMNLP Drahomira Herrmannova, Steven Robert Young, Robert M. Patton, Christopher G. Stahl, Nicole C. Kleinstreuer, Mary S. Wolfe
2018	J	`jnl`	Unsupervised Identification of Study Descriptors in Toxicology Research: An Experimental Study. CoRR Drahomira Herrmannova, Steven R. Young, Robert M. Patton, Christopher G. Stahl, Nicole C. Kleinstreuer, Mary S. Wolfe
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`	Citations and Readership are Poor Indicators of Research Excellence: Introducing TrueImpactDataset, a New Dataset for Validating Research Evaluation Metrics. SWM@WSDM Drahomira Herrmannova, Robert M. Patton, Petr Knoth, Christopher G. Stahl
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	—	`conf`	Optimizing Convolutional Neural Networks for Cloud Detection. MLHPC@SC J. Travis Johnston, Steven R. Young, David Hughes, Robert M. Patton, Devin White
2017	B	`conf`	Vertex reconstruction of neutrino interactions using deep learning. IJCNN Adam M. Terwilliger, Gabriel N. Perdue, David Isele, Robert M. Patton, Steven R. Young
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
2016	J	`jnl`	Measuring Scientific Impact Beyond Citation Counts. D Lib Mag. Robert M. Patton, Christopher G. Stahl, Jack C. Wells
2016	—	`conf`	MedGEC'16 Chairs' Welcome. GECCO (Companion) Stephen L. Smith, Stefano Cagnoni, Robert M. Patton
2015	—	`conf`	Optimizing deep learning hyper-parameters through an evolutionary algorithm. MLHPC@SC Steven R. Young, Derek C. Rose, Thomas P. Karnowski, Seung-Hwan Lim, Robert M. Patton
2015	—	`conf`	Using clinical data, hypothesis generation tools and PubMed trends to discover the association between diabetic retinopathy and antihypertensive drugs. IEEE BigData Katherine Senter, Sreenivas R. Sukumar, Robert M. Patton, Edward Chaum
2013	—	`conf`	Massively scalable near duplicate detection in streams of documents using MDSH. IEEE BigData Paul Logasa Bogen, Christopher T. Symons, Amber McKenzie, Robert M. Patton, Robert E. Gillen
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
2013	—	`conf`	Observing Community Resiliency in Social Media. ICCSA (5) Robert M. Patton, Chad A. Steed, Christopher G. Stahl, Jim N. Treadwell
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	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	J	`jnl`	Characterizing Mammography Reports for Health Analytics. J. Medical Syst. Carlos C. Rojas, Robert M. Patton, Barbara G. Beckerman
2011	—	`conf`	Classification of Distributed Data Using Topic Modeling and Maximum Variation Sampling. HICSS Robert M. Patton, Justin M. Beaver, 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
2010	—	`conf`	Architecture-level dependability analysis of a medical decision support system. SEHC@ICSE Laura L. Pullum, Christopher T. Symons, Robert M. Patton, Barbara G. Beckerman
2010	—	`conf`	Characterizing mammography reports for health analytics. IHI Carlos C. Rojas, Robert M. Patton, Barbara G. Beckerman
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
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
2008	—	`conf`	Analysis of mammography reports using maximum variation sampling. GECCO (Companion) Robert M. Patton, Barbara G. Beckerman, 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	—	`conf`	Discovering event evidence amid massive, dynamic datasets. GECCO (Companion) Robert M. Patton, 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	—	`ch.`	Particle Swarm Based Collective Searching Model for Adaptive Environment. NICSO Xiaohui Cui, Robert M. Patton, Jim N. Treadwell, Thomas E. Potok
2006	A	`conf`	Characterizing large text corpora using a maximum variation sampling genetic algorithm. GECCO Robert M. Patton, Thomas E. Potok
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
2004	—	`conf`	Adaptive Sampling of Text Documents. IASSE Robert M. Patton, Thomas E. Potok
2001	Misc	`conf`	Usage testing of military simulation systems. WSC Gwendolyn H. Walton, Robert M. Patton, Douglas J. Parsons