Robert M. Patton
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
35
Venues
14
Active years
2001–2024
Best venue rank
A*
Where they publish
Papers
35 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | GECCO | 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 |
| 2022 | GECCO | Genetic programming for understanding cognitive biases that generate polarization in social networks. | Chathika Gunaratne, Robert M. Patton |
| 2022 | SC | Exaflops Biomedical Knowledge Graph Analytics. | 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 | SC | 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 |
| 2021 | GECCO | Diagnosing autonomous vehicle driving criteria with an adversarial evolutionary algorithm. | Mark A. Coletti, Shang Gao, Spencer Paulissen, Nicholas Quentin Haas, Robert M. Patton |
| 2020 | IJCNN | 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 |
| 2020 | IJCNN | 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 |
| 2020 | SC | Scalable knowledge graph analytics at 136 petaflop/s. | Ramakrishnan Kannan, Piyush Sao, Hao Lu, Drahomira Herrmannova, Vijay Thakkar, Robert M. Patton, Richard W. Vuduc, Thomas E. Potok |
| 2019 | GECCO | Island model for parallel evolutionary optimization of spiking neuromorphic computing. | Catherine D. Schuman, James S. Plank, Robert M. Patton, Thomas E. Potok |
| 2019 | SC | 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 |
| 2018 | CICLING | Research Collaboration Analysis Using Text and Graph Features. | Drahomira Herrmannova, Petr Knoth, Christopher G. Stahl, Robert M. Patton, Jack C. Wells |
| 2018 | LREC | Analyzing Citation-Distance Networks for Evaluating Publication Impact. | Drahomira Herrmannova, Petr Knoth, Robert M. Patton |
| 2018 | SC | 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 |
| 2018 | SC | Exploring flexible communications for streamlining DNN ensemble training pipelines. | Randall Pittman, Hui Guan, Xipeng Shen, Seung-Hwan Lim, Robert M. Patton |
| 2017 | IJCNN | Vertex reconstruction of neutrino interactions using deep learning. | Adam M. Terwilliger, Gabriel N. Perdue, David Isele, Robert M. Patton, Steven R. Young |
| 2017 | SC | Optimizing Convolutional Neural Networks for Cloud Detection. | J. Travis Johnston, Steven R. Young, David Hughes, Robert M. Patton, Devin White |
| 2017 | SC | 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 |
| 2017 | WSDM | Citations and Readership are Poor Indicators of Research Excellence: Introducing TrueImpactDataset, a New Dataset for Validating Research Evaluation Metrics. | Drahomira Herrmannova, Robert M. Patton, Petr Knoth, Christopher G. Stahl |
| 2017 | WSDM | Workshop on Scholarly Web Mining (SWM 2017). | Robert M. Patton, Thomas E. Potok, Petr Knoth, Drahomira Herrmannova |
| 2016 | GECCO | MedGEC'16 Chairs' Welcome. | Stephen L. Smith, Stefano Cagnoni, Robert M. Patton |
| 2016 | SC | 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 |
| 2015 | SC | Optimizing deep learning hyper-parameters through an evolutionary algorithm. | Steven R. Young, Derek C. Rose, Thomas P. Karnowski, Seung-Hwan Lim, Robert M. Patton |
| 2013 | ICCSA | Observing Community Resiliency in Social Media. | Robert M. Patton, Chad A. Steed, Christopher G. Stahl, Jim N. Treadwell |
| 2011 | IWCMC | Hierarchical clustering and visualization of aggregate cyber data. | Robert M. Patton, Justin M. Beaver, Chad A. Steed, Thomas E. Potok, Jim N. Treadwell |
| 2010 | GECCO | Genetic algorithm for analysis of abdominal aortic aneurysms in radiology reports. | Robert M. Patton, Barbara G. Beckerman, Thomas E. Potok, Jim N. Treadwell |
| 2010 | ICAISC | Discovering Potential Precursors of Mammography Abnormalities Based on Textual Features, Frequencies, and Sequences. | Robert M. Patton, Thomas E. Potok |
| 2010 | ICSE | Architecture-level dependability analysis of a medical decision support system. | Laura L. Pullum, Christopher T. Symons, Robert M. Patton, Barbara G. Beckerman |
| 2009 | GECCO | A genetic algorithm for learning significant phrase patterns in radiology reports. | Robert M. Patton, Thomas E. Potok, Barbara G. Beckerman, Jim N. Treadwell |
| 2008 | FUSION | Discovery, analysis, and characteristics of event impacts. | Robert M. Patton, Jim N. Treadwell, Ryan A. Kerekes, Thomas E. Potok |
| 2008 | GECCO | Analysis of mammography reports using maximum variation sampling. | Robert M. Patton, Barbara G. Beckerman, Thomas E. Potok |
| 2008 | IV | Identifying Event Impacts by Monitoring the News Media. | Robert M. Patton, Thomas E. Potok |
| 2007 | GECCO | Discovering event evidence amid massive, dynamic datasets. | Robert M. Patton, Thomas E. Potok |
| 2006 | GECCO | Characterizing large text corpora using a maximum variation sampling genetic algorithm. | Robert M. Patton, Thomas E. Potok |
| 2005 | FlAIRS | Agent Based Approach for Searching, Mining and Managing Enormous Amounts of Spatial Image Data. | Paul J. Palathingal, Thomas E. Potok, Robert M. Patton |
| 2001 | WSC | Usage testing of military simulation systems. | Gwendolyn H. Walton, Robert M. Patton, Douglas J. Parsons |