Zobrazeno 1 - 10 of 31 pro vyhledávání: '"Saliya Ekanayake"'
1
Akademický článek
Data analysis and modeling pipelines for controlled networked social science experiments.
Autor: Vanessa Cedeno-Mieles, Zhihao Hu, Yihui Ren, Xinwei Deng, Noshir Contractor, Saliya Ekanayake, Joshua M Epstein, Brian J Goode, Gizem Korkmaz, Chris J Kuhlman, Dustin Machi, Michael Macy, Madhav V Marathe, Naren Ramakrishnan, Parang Saraf, Nathan Self
Publikováno v: PLoS ONE, Vol 15, Iss 11, p e0242453 (2020)
There is large interest in networked social science experiments for understanding human behavior at-scale. Significant effort is required to perform data analytics on experimental outputs and for computational modeling of custom experiments. Moreover
Externí odkaz: https://doaj.org/article/5a47e4a1b6224f69bdfb52c4112780b9
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2
MIDAS: Multilinear detection at scale
Autor: Jose Cadena, Anil Vullikanti, Udayanga Wickramasinghe, Saliya Ekanayake
Publikováno v: IPDPS
We focus on two classes of problems in graph mininghere: (1) finding trees and (2) anomaly detection using networkscan statistics in complex networks. These are fundamentalproblems in a broad class of applications. Most of the parallelalgorithms for
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::89f71a5a32910626b445b07dab14c0f9
https://doi.org/10.1016/j.jpdc.2019.04.006
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4
Distributed Many-to-Many Protein Sequence Alignment using Sparse Matrices
Autor: Ariful Azad, Giulia Guidi, Georgios A. Pavlopoulos, Oguz Selvitopi, Aydin Buluc, Saliya Ekanayake
Publikováno v: SC
Identifying similar protein sequences is a core step in many computational biology pipelines such as detection of homologous protein sequences, generation of similarity protein graphs for downstream analysis, functional annotation and gene location.
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::533511e4b9e819c5c577d1d5b0233a99
http://arxiv.org/abs/2009.14467
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5
Networked experiments and modeling for producing collective identity in a group of human subjects using an iterative abduction framework
Autor: Abhijin Adiga, Michael W. Macy, Gizem Korkmaz, Zhihao Hu, Naren Ramakrishnan, Vanessa Cedeno-Mieles, S. S. Ravi, Joshua M. Epstein, Parang Saraf, Saliya Ekanayake, Noshir Contractor, Madhav V. Marathe, Dustin Machi, Nathan Self, Yihui Ren, Xinwei Deng, Chris J. Kuhlman, Christopher L. Barrett, Brian J. Goode
Publikováno v: Social Network Analysis and Mining. 10
Group or collective identity is an individual’s cognitive, moral, and emotional connection with a broader community, category, practice, or institution. There are many different contexts in which collective identity operates, and a host of applicat
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::eef4dd6f90788aa9560081f2e39d19a2
https://doi.org/10.1007/s13278-019-0620-8
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6
The parallelism motifs of genomic data analysis
Autor: Rob Egan, Aydin Buluc, Cristina Teodoropol, Giulia Guidi, Ariful Azad, Marquita Ellis, Saliya Ekanayake, Oguz Selvitopi, Leonid Oliker, Evangelos Georganas, Benjamin Brock, Muaaz Gul Awan, Steven Hofmeyr, Katherine Yelick
Publikováno v: Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, vol 378, iss 2166
Genomic datasets are growing dramatically as the cost of sequencing continues to decline and small sequencing devices become available. Enormous community databases store and share these data with the research community, but some of these genomic dat
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2ef84b37663a36d26dc2c7da4c600c67
http://europepmc.org/articles/PMC7015300
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7
PLOS ONE
Autor: Noshir Contractor, Madhav V. Marathe, Yihui Ren, Xinwei Deng, Brian J. Goode, Parang Saraf, Vanessa Cedeno-Mieles, Chris J. Kuhlman, Saliya Ekanayake, Zhihao Hu, Naren Ramakrishnan, Dustin Machi, Joshua M. Epstein, Nathan Self, Michael W. Macy, Gizem Korkmaz
Publikováno v: PLoS ONE, Vol 15, Iss 11, p e0242453 (2020)
PLoS ONE
There is large interest in networked social science experiments for understanding human behavior at-scale. Significant effort is required to perform data analytics on experimental outputs and for computational modeling of custom experiments. Moreover
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f00ad60e4a191eeb137e80cf7e821ff6
https://doaj.org/article/5a47e4a1b6224f69bdfb52c4112780b9
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8
On the Modeling and Agent-Based Simulation of a Cooperative Group Anagram Game
Autor: Dustin Machi, Chris J. Kuhlman, Vanessa Cedeno-Mieles, Zhihao Hu, Abhijin Adiga, Saliya Ekanayake, Nathan Self, Yihui Ren, Parang Saraf, Brian J. Goode, Naren Ramakrishnan, S. S. Ravi, Xinwei Deng, Gizem Korkmaz, Madhav V. Marathe
Publikováno v: WSC
Anagram games (i.e., word construction games in which players use letters to form words) have been researched for some 60 years. Games with individual players are the subject of over 20 published investigations. Moreover, there are many popular comme
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8fa680311ad36c1beca811d42164c47f
https://doi.org/10.1109/wsc40007.2019.9004754
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9
Elektronická kniha
Foundations of Data Intensive Applications : Large Scale Data Analytics Under the Hood
Autor: Supun Kamburugamuve, Saliya Ekanayake
PEEK “UNDER THE HOOD” OF BIG DATA ANALYTICS The world of big data analytics grows ever more complex. And while many people can work superficially with specific frameworks, far fewer understand the fundamental principles of large-scale, distribute
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10
Anatomy of machine learning algorithm implementations in MPI, Spark, and Flink
Autor: Pulasthi Wickramasinghe, Saliya Ekanayake, Supun Kamburugamuve, Geoffrey C. Fox
Publikováno v: The International Journal of High Performance Computing Applications. 32:61-73
With the ever-increasing need to analyze large amounts of data to get useful insights, it is essential to develop complex parallel machine learning algorithms that can scale with data and number of parallel processes. These algorithms need to run on
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e497336d8c6a5576a5cadc6b749b4769
https://doi.org/10.1177/1094342017712976
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