Robert M. Patton

Orcid: 0000-0002-8101-0571

According to our database1, Robert M. Patton authored at least 73 papers between 2001 and 2023.

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Bibliography

2023
SuperNeuro: A Fast and Scalable Simulator for Neuromorphic Computing.
Proceedings of the 2023 International Conference on Neuromorphic Systems, 2023

2022
Evolutionary vs imitation learning for neuromorphic control at the edge.
Neuromorph. Comput. Eng., 2022

Neuromorphic Computing for Scientific Applications.
Proceedings of the IEEE/ACM Redefining Scalability for Diversely Heterogeneous Architectures Workshop, 2022

Exaflops Biomedical Knowledge Graph Analytics.
Proceedings of the SC22: International Conference for High Performance Computing, 2022

A Framework to Enable Top-Down Co-Design of Neuromorphic Systems for Real-World Applications.
Proceedings of the NICE 2022: Neuro-Inspired Computational Elements Conference, 2022

Training reinforcement learning models via an adversarial evolutionary algorithm.
Proceedings of the Workshop Proceedings of the 51st International Conference on Parallel Processing, 2022

Genetic programming for understanding cognitive biases that generate polarization in social networks.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

2021
Towards establishing a research lineage via identification of significant citations.
Quant. Sci. Stud., 2021

An Oracle and Observations for the OpenAI Gym / ALE Freeway Environment.
CoRR, 2021

Weak Supervision for Scientific Document Relevance Tagging.
Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2021

Quantitative Evaluation of Autonomous Driving in CARLA.
Proceedings of the IEEE Intelligent Vehicles Symposium Workshops, 2021

Neuromorphic Computing for Autonomous Racing.
Proceedings of the ICONS 2021: International Conference on Neuromorphic Systems 2021, 2021

Computational Complexity of Neuromorphic Algorithms.
Proceedings of the ICONS 2021: International Conference on Neuromorphic Systems 2021, 2021

Diagnosing autonomous vehicle driving criteria with an adversarial evolutionary algorithm.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Visual Understanding of COVID-19 Knowledge Graph for Predictive Analysis.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
Scalable knowledge graph analytics at 136 petaflop/s.
Proceedings of the International Conference for High Performance Computing, 2020

Evolutionary Optimization for Neuromorphic Systems.
Proceedings of the NICE '20: Neuro-inspired Computational Elements Workshop, 2020

Caspian: A Neuromorphic Development Platform.
Proceedings of the NICE '20: Neuro-inspired Computational Elements Workshop, 2020

FLEET: Flexible Efficient Ensemble Training for Heterogeneous Deep Neural Networks.
Proceedings of Machine Learning and Systems 2020, 2020

Automated Design of Neuromorphic Networks for Scientific Applications at the Edge.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Resilience and Robustness of Spiking Neural Networks for Neuromorphic Systems.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
Efficiently embedding QUBO problems on adiabatic quantum computers.
Quantum Inf. Process., 2019

Fine-Grained Exploitation of Mixed Precision for Faster CNN Training.
Proceedings of the 2019 IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments, 2019

Island model for parallel evolutionary optimization of spiking neuromorphic computing.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Evolving Energy Efficient Convolutional Neural Networks.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Exascale Deep Learning to Accelerate Cancer Research.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Bayesian-based Hyperparameter Optimization for Spiking Neuromorphic Systems.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Visualization System for Evolutionary Neural Networks for Deep Learning.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Do citations and readership identify seminal publications?
Scientometrics, 2018

A Study of Complex Deep Learning Networks on High-Performance, Neuromorphic, and Quantum Computers.
ACM J. Emerg. Technol. Comput. Syst., 2018

Adiabatic Quantum Computation Applied to Deep Learning Networks.
Entropy, 2018

Exploring flexible communications for streamlining DNN ensemble training pipelines.
Proceedings of the International Conference for High Performance Computing, 2018

167-PFlops deep learning for electron microscopy: from learning physics to atomic manipulation.
Proceedings of the International Conference for High Performance Computing, 2018

Analyzing Citation-Distance Networks for Evaluating Publication Impact.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

Research Collaboration Analysis Using Text and Graph Features.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2018

Unsupervised Identification of Study Descriptors in Toxicology Research: An Experimental Study.
Proceedings of the Ninth International Workshop on Health Text Mining and Information Analysis, 2018

2017
A Survey of Neuromorphic Computing and Neural Networks in Hardware.
CoRR, 2017

Workshop on Scholarly Web Mining (SWM 2017).
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

Citations and Readership are Poor Indicators of Research Excellence: Introducing TrueImpactDataset, a New Dataset for Validating Research Evaluation Metrics.
Proceedings of the 1st Workshop on Scholarly Web Mining, 2017

Evolving Deep Networks Using HPC.
Proceedings of the Machine Learning on HPC Environments, 2017

Optimizing Convolutional Neural Networks for Cloud Detection.
Proceedings of the Machine Learning on HPC Environments, 2017

Neuromorphic computing for temporal scientific data classification.
Proceedings of the Neuromorphic Computing Symposium, 2017

Audience Based View of Publication Impact.
Proceedings of the 2017 ACM/IEEE Joint Conference on Digital Libraries, 2017

Vertex reconstruction of neutrino interactions using deep learning.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016
Measuring Scientific Impact Beyond Citation Counts.
D Lib Mag., 2016

MedGEC'16 Chairs' Welcome.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

2015
Optimizing deep learning hyper-parameters through an evolutionary algorithm.
Proceedings of the Workshop on Machine Learning in High-Performance Computing Environments, 2015

Using clinical data, hypothesis generation tools and PubMed trends to discover the association between diabetic retinopathy and antihypertensive drugs.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2013
Multi-year Content Analysis of User Facility Related Publications.
D Lib Mag., 2013

Observing Community Resiliency in Social Media.
Proceedings of the Computational Science and Its Applications - ICCSA 2013, 2013

Massively scalable near duplicate detection in streams of documents using MDSH.
Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

2012
Identification of User Facility Related Publications.
D Lib Mag., 2012

A Text Analysis Approach to Motivate Knowledge Sharing via Microsoft SharePoint.
Proceedings of the 45th Hawaii International International Conference on Systems Science (HICSS-45 2012), 2012

2011
Characterizing Mammography Reports for Health Analytics.
J. Medical Syst., 2011

Hierarchical clustering and visualization of aggregate cyber data.
Proceedings of the 7th International Wireless Communications and Mobile Computing Conference, 2011

A Computational Framework for Search, Discovery, and Trending of Patient Health in Radiology Reports.
Proceedings of the 2011 IEEE International Conference on Healthcare Informatics, 2011

Classification of Distributed Data Using Topic Modeling and Maximum Variation Sampling.
Proceedings of the 44th Hawaii International International Conference on Systems Science (HICSS-44 2011), 2011

An approach to the automated determination of host information value.
Proceedings of the 2011 IEEE Symposium on Computational Intelligence in Cyber Security, 2011

Analysis and Classification ofMammography Reports using Maximum Variation Sampling.
Proceedings of the Genetic and Evolutionary Computation: Medical Applications, 2011

2010
Architecture-level dependability analysis of a medical decision support system.
Proceedings of the 2010 ICSE Workshop on Software Engineering in Health Care, 2010

Discovering Potential Precursors of Mammography Abnormalities Based on Textual Features, Frequencies, and Sequences.
Proceedings of the Artificial Intelligence and Soft Computing, 2010

Genetic algorithm for analysis of abdominal aortic aneurysms in radiology reports.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

2009
A genetic algorithm for learning significant phrase patterns in radiology reports.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

2008
Identifying Event Impacts by Monitoring the News Media.
Proceedings of the 12th International Conference on Information Visualisation, 2008

Analysis of mammography reports using maximum variation sampling.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Discovery, analysis, and characteristics of event impacts.
Proceedings of the 11th International Conference on Information Fusion, 2008

2007
Particle Swarm Based Collective Searching Model for Adaptive Environment.
Proceedings of the Nature Inspired Cooperative Strategies for Optimization (NICSO 2007), 2007

Flocking-based Document Clustering on the Graphics Processing Unit.
Proceedings of the Nature Inspired Cooperative Strategies for Optimization (NICSO 2007), 2007

Discovering event evidence amid massive, dynamic datasets.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

2006
Characterizing large text corpora using a maximum variation sampling genetic algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006

2005
Agent Based Approach for Searching, Mining and Managing Enormous Amounts of Spatial Image Data.
Proceedings of the Eighteenth International Florida Artificial Intelligence Research Society Conference, 2005

2004
Adaptive Sampling of Text Documents.
Proceedings of the ISCA 13th International Conference on Intelligent and Adaptive Systems and Software Engineering, 2004

2001
Usage testing of military simulation systems.
Proceedings of the 33nd conference on Winter simulation, 2001


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