Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Mark Coletti"'
Autor:
Christa Brelsford, Sarah Tennille, Aaron Myers, Supriya Chinthavali, Varisara Tansakul, Matthew Denman, Mark Coletti, Joshua Grant, Sangkeun Lee, Karl Allen, Evelyn Johnson, Jonathan Huihui, Alec Hamaker, Scott Newby, Kyle Medlen, Dakotah Maguire, Chelsey Dunivan Stahl, Jessica Moehl, Daniel Redmon, Jibonananda Sanyal, Budhendra Bhaduri
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-13 (2024)
Abstract In this Data Descriptor, we present county-level electricity outage estimates at 15-minute intervals from 2014 to 2022. By 2022 92% of customers in the 50 US States, Washington DC, and Puerto Rico are represented. These data have been produc
Externí odkaz:
https://doaj.org/article/ad9c01fde5ee4b8c9728b17da820b7cc
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 3493-3502 (2020)
Understanding and exploiting topographical data via standard machine learning techniques is challenging, mainly due to the large dynamic range of values present in elevation data and the lack of direct relationships between anthropogenic phenomena an
Externí odkaz:
https://doaj.org/article/7952dac093004a52a86fe9ce4a3bf72f
Autor:
Robert Patton, Prasanna Date, Shruti Kulkarni, Chathika Gunaratne, Seung-Hwan Lim, Guojing Cong, Steven R. Young, Mark Coletti, Thomas E. Potok, Catherine D. Schuman
Publikováno v:
2022 IEEE/ACM Redefining Scalability for Diversely Heterogeneous Architectures Workshop (RSDHA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2105346b33368a4941953828766dc653
https://doi.org/10.1109/rsdha56811.2022.00008
https://doi.org/10.1109/rsdha56811.2022.00008
Publikováno v:
Workshop Proceedings of the 51st International Conference on Parallel Processing.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e1b57f51a94c4e64b7ad8e8de50b2d62
https://doi.org/10.1145/3547276.3548635
https://doi.org/10.1145/3547276.3548635
Autor:
Eric O. Scott, Mark Coletti, Catherine D. Schuman, Bill Kay, Shruti R. Kulkarni, Maryam Parsa, Chathika Gunaratne, Kenneth A. De Jong
Publikováno v:
Expert Systems. 40
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d4826ba1837ec292b4bcccf421245ea5
https://doi.org/10.1111/exsy.13100
https://doi.org/10.1111/exsy.13100
Publikováno v:
IBM Journal of Research and Development. 64:1-12
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec89ca108a8f6bf3a36c34982383ac04
https://doi.org/10.1147/jrd.2019.2960225
https://doi.org/10.1147/jrd.2019.2960225
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 3493-3502 (2020)
Understanding and exploiting topographical data via standard machine learning techniques is challenging, mainly due to the large dynamic range of values present in elevation data and the lack of direct relationships between anthropogenic phenomena an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fc6ed99e737adb88fe5c432144f8e925
https://ieeexplore.ieee.org/document/9117159/
https://ieeexplore.ieee.org/document/9117159/
Autor:
Pravallika Devineni, Panchapakesan Ganesh, Nikhil Sivadas, Abhijeet Dhakane, Ketan Maheshwari, Drahomira Herrmannova, Ramakrishnan Kannan, Seung-Hwan Lim, Thomas E. Potok, Jordan Chipka, Priyantha Mudalige, Mark Coletti, Sajal Dash, Arnab K. Paul, Sarp Oral, Feiyi Wang, Bill Kay, Melissa Allen-Dumas, Christa Brelsford, Joshua New, Andy Berres, Kuldeep Kurte, Jibonananda Sanyal, Levi Sweet, Chathika Gunaratne, Maxim Ziatdinov, Rama Vasudevan, Sergei Kalinin, Olivera Kotevska, Jean Bilheux, Hassina Bilheux, Garrett E. Granroth, Thomas Proffen, Rick Riedel, Peter Peterson, Shruti Kulkarni, Kyle Kelley, Stephen Jesse, Maryam Parsa
Publikováno v:
Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation ISBN: 9783030964979
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::78499ac8b92c56d453abb58d0ca8b190
https://doi.org/10.1007/978-3-030-96498-6_21
https://doi.org/10.1007/978-3-030-96498-6_21
Autor:
Kenneth de Jong, Mark Coletti, Maryam Parsa, Catherine D. Schuman, Shruti R. Kulkarni, Eric O. Scott, Bill Kay
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030870935
UKCI
UKCI
Asynchronous evolutionary algorithms are becoming increasingly popular as a means of making full use of many processors while solving computationally expensive search and optimization problems. These algorithms excel at keeping large clusters fully u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::92a8a3ed3c82c18684e210641ce5a41a
https://doi.org/10.1007/978-3-030-87094-2_7
https://doi.org/10.1007/978-3-030-87094-2_7
Publikováno v:
GECCO Companion
We repurposed an adversarial evolutionary algorithm, Gremlin, from finding driving scenarios where a model of an autonomous vehicle drove poorly to troubleshooting driving quality evaluation criteria. We evaluated the driving performance of a "perfec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be2f5d0e1ceb949f479c7903dd6ff7bf
https://doi.org/10.1145/3449726.3459573
https://doi.org/10.1145/3449726.3459573