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 Robert Matthew Patton

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Average citations per article1.00
Citation Count24
Publication count24
Publication years2001-2017
Available for download19
Average downloads per article181.16
Downloads (cumulative)3,442
Downloads (12 Months)1,176
Downloads (6 Weeks)138
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28 results found Export Results: bibtexendnoteacmrefcsv

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1 published by ACM
July 2018 ACM Journal on Emerging Technologies in Computing Systems (JETC) - Special Issue on Frontiers of Hardware and Algorithms for On-chip Learning, Special Issue on Silicon Photonics and Regular Papers: Volume 14 Issue 2, July 2018
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 35,   Downloads (12 Months): 35,   Downloads (Overall): 35

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Current deep learning approaches have been very successful using convolutional neural networks trained on large graphical-processing-unit-based computers. Three limitations of this approach are that (1) they are based on a simple layered network topology, i.e., highly connected layers, without intra-layer connections; (2) the networks are manually configured to achieve optimal ...
Keywords: Deep learning, high-performance computing, neuromorphic computing, quantum computing

2
April 2018 Scientometrics: Volume 115 Issue 1, April 2018
Publisher: Springer-Verlag New York, Inc.
Bibliometrics:
Citation Count: 0

This work presents a new approach for analysing the ability of existing research metrics to identify research which has strongly influenced future developments. More specifically, we focus on the ability of citation counts and Mendeley reader counts to distinguish between publications regarded as seminal and publications regarded as literature reviews ...
Keywords: Bibliometrics, Publication datasets, Altmetrics, Information retrieval, Research evaluation, Data mining, Scholarly communication

3 published by ACM
December 2017 WOSP 2017: Proceedings of the 6th International Workshop on Mining Scientific Publications
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 1,   Downloads (12 Months): 28,   Downloads (Overall): 28

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With increasing pressure to demonstrate a return on investment, scientific user facilities and government funded research projects must strive to demonstrate positive impact of their research on others. Historically, citation counts and journal impact factor have been widely used as a single quantitative measure of impact. However, with the expansion ...

4 published by ACM
November 2017 MLHPC'17: Proceedings of the Machine Learning on HPC Environments
Publisher: ACM
Bibliometrics:
Citation Count: 1
Downloads (6 Weeks): 19,   Downloads (12 Months): 238,   Downloads (Overall): 238

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While a large number of deep learning networks have been studied and published that produce outstanding results on natural image datasets, these datasets only make up a fraction of those to which deep learning can be applied. These datasets include text data, audio data, and arrays of sensors that have ...
Keywords: evolutionary algorithms, hyperparameter optimization, deep learning, high performance computing

5 published by ACM
November 2017 MLHPC'17: Proceedings of the Machine Learning on HPC Environments
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 5,   Downloads (12 Months): 121,   Downloads (Overall): 121

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Deep convolutional neural networks (CNNs) have become extremely popular and successful at a number of machine learning tasks. One of the great challenges of successfully deploying a CNN is designing the network: specifying the network topology (sequence of layer types) and configuring the network (setting all the internal layer hyper-parameters). ...
Keywords: image quality, deep learning, hyper-parameter optimization

6 published by ACM
July 2017 NCS '17: Proceedings of the Neuromorphic Computing Symposium
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 9,   Downloads (12 Months): 30,   Downloads (Overall): 30

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In this work, we apply a spiking neural network model and an associated memristive neuromorphic implementation to an application in classifying temporal scientific data. We demonstrate that the spiking neural network model achieves comparable results to a previously reported convolutional neural network model, with significantly fewer neurons and synapses required.

7 published by ACM
February 2017 SWM '17: Proceedings of the 1st Workshop on Scholarly Web Mining
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 0,   Downloads (12 Months): 0,   Downloads (Overall): 0

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In this paper we show that citation counts and Mendeley readership are poor indicators of research excellence. Our experimental design builds on the assumption that a good evaluation metric should be able to distinguish publications that have changed a research field from those that have not. The experiment has been ...
Keywords: Data Mining, Information Retrieval, Publication Datasets, Research Evaluation, Scholarly Communication

8 published by ACM
February 2017 WSDM '17: Proceedings of the Tenth ACM International Conference on Web Search and Data Mining
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 7,   Downloads (12 Months): 70,   Downloads (Overall): 113

Full text available: PDFPDF
Keywords: web mining, scholarly publications, information retrieval

9
November 2016 MLHPC '16: Proceedings of the Workshop on Machine Learning in High Performance Computing Environments
Publisher: IEEE Press
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 1,   Downloads (12 Months): 51,   Downloads (Overall): 178

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Current Deep Learning models use highly optimized convolutional neural networks (CNN) trained on large graphical processing units (GPU)-based computers with a fairly simple layered network topology, i.e., highly connected layers, without intra-layer connections. Complex topologies have been proposed, but are intractable to train on current systems. Building the topologies of ...

10 published by ACM
July 2016 GECCO '16 Companion: Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 1,   Downloads (12 Months): 5,   Downloads (Overall): 17

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11 published by ACM
November 2015 MLHPC '15: Proceedings of the Workshop on Machine Learning in High-Performance Computing Environments
Publisher: ACM
Bibliometrics:
Citation Count: 2
Downloads (6 Weeks): 47,   Downloads (12 Months): 502,   Downloads (Overall): 996

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There has been a recent surge of success in utilizing Deep Learning (DL) in imaging and speech applications for its relatively automatic feature generation and, in particular for convolutional neural networks (CNNs), high accuracy classification abilities. While these models learn their parameters through data-driven methods, model selection (as architecture construction) ...
Keywords: convolutional neural networks, deep learning, hyper-parameter optimization, evolutionary algorithm

12
October 2015 BIG DATA '15: Proceedings of the 2015 IEEE International Conference on Big Data (Big Data)
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 0

Diabetic retinopathy (DR) is a leading cause of blindness and common complication of diabetes. Many diabetic patients take antihypertensive drugs to prevent cardiovascular problems, but these drugs may have unintended consequences on eyesight. Six common classes of antihypertensive drug are angiotensin converting enzyme (ACE) inhibitors, alpha blockers, angiotensin receptor blockers ...

13
January 2012 HICSS '12: Proceedings of the 2012 45th Hawaii International Conference on System Sciences
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 1

Creating incentives for knowledge workers to share their knowledge within an organization continues to be a challenging task. Strong, innate behaviors of the knowledge worker, such as self-preservation and self-advancement, are difficult to overcome, regardless of the level of knowledge. Many incentive policies simply focus on providing external pressure to ...

14
October 2011 Journal of Medical Systems: Volume 35 Issue 5, October 2011
Publisher: Plenum Press
Bibliometrics:
Citation Count: 1

As massive collections of digital health data are becoming available, the opportunities for large-scale automated analysis increase. In particular, the widespread collection of detailed health information is expected to help realize a vision of evidence-based public health and patient-centric health care. Within such a framework for large scale health analytics ...
Keywords: Temporal analysis, Mammography reports, Text analysis, Clinical notes

15
July 2011 HISB '11: Proceedings of the 2011 IEEE First International Conference on Healthcare Informatics, Imaging and Systems Biology
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 0

The healthcare industry as a whole lags far behind other industries in terms of knowledge discovery capabilities. There are many piece-wise approaches to analysis of patient records. Unfortunately, there are few approaches that enable a completely automated approach that supports not just search, but also discovery and prediction of patient ...
Keywords: information retrieval, genetic algorithm, wavelets, radiology

16
January 2011 HICSS '11: Proceedings of the 2011 44th Hawaii International Conference on System Sciences
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 0

From a management perspective, understanding the information that exists on a network and how it is distributed provides a critical advantage. This work explores the use of topic modeling as an approach to automatically determine the classes of information that exist on an organization's network, and then use the resultant ...

17 published by ACM
November 2010 IHI '10: Proceedings of the 1st ACM International Health Informatics Symposium
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 4,   Downloads (12 Months): 24,   Downloads (Overall): 168

Full text available: PDFPDF
As massive collections of digital health data are becoming available, the opportunities for large scale automated analysis increase. In particular, the widespread collection of detailed health information is expected to help realize a vision of evidence-based public health and patient-centric health care. Within such a framework for large scale health ...
Keywords: clinical notes, electronic health records, temporal analysis, text analysis

18 published by ACM
July 2010 GECCO '10: Proceedings of the 12th annual conference companion on Genetic and evolutionary computation
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 2,   Downloads (12 Months): 5,   Downloads (Overall): 87

Full text available: PDFPDF
An abdominal aortic aneurysm is a problem in which the wall of the artery that supplies blood to the abdomen and lower extremities expands under pressure or balloons outward. Patients must undergo surgery to repair such an aneurysm, and there is currently no known indicator of long-term success or failure ...
Keywords: abdominal aortic aneurysm, genetic algorithm, medical knowledge discovery, natural language processing

19
June 2010 ICAISC'10: Proceedings of the 10th international conference on Artificial intelligence and soft computing: Part I
Publisher: Springer-Verlag
Bibliometrics:
Citation Count: 0

Diagnosing breast cancer from mammography reports is heavily dependant on the time sequences of the patient visits. In the work described, we take a longitudinal view of the text of a patient's mammogram reports to explore the existence of certain phrase patterns that indicate future abnormalities may exist for the ...

20 published by ACM
May 2010 SEHC '10: Proceedings of the 2010 ICSE Workshop on Software Engineering in Health Care
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 1,   Downloads (12 Months): 6,   Downloads (Overall): 220

Full text available: PDFPDF
Recent advances in techniques such as image analysis, text analysis and machine learning have shown great potential to assist physicians in detecting and diagnosing health issues in patients. In this paper, we describe the approach and findings of an architecture-level dependability analysis for a mammography decision support system that incorporates ...
Keywords: architecture-level analysis, failure modes, mammography reports, medical decision support, mammography images



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