Rafal Angryk

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Medeauteurs

Berkay AydınAssistant Professor at Georgia State UniversityGeverifieerd e-mailadres voor cs.gsu.edu
Dustin KemptonResearch Assistant Professor, Georgia State UniversityGeverifieerd e-mailadres voor gsu.edu
Michael A. SchuhDept of Computer Science, Montana State UniversityGeverifieerd e-mailadres voor cs.montana.edu
Juan M. BandaStanford Health CareGeverifieerd e-mailadres voor stanfordhealthcare.org
Soukaina Filali BoubrahimiDepartment of Computer Science, Utah State University, Logan, Utah, USAGeverifieerd e-mailadres voor usu.edu
Manolis K. GeorgoulisSenior Professional Staff, Johns Hopkins APLGeverifieerd e-mailadres voor jhuapl.edu
Azim AhmadzadehAssistant Professor, Department of Computer Science, University of Missouri-St. LouisGeverifieerd e-mailadres voor umsl.edu
Ruizhe MaUniversity of Massachusetts Lowell, Georgia State University, Northeastern UniversityGeverifieerd e-mailadres voor uml.edu
Shah Muhammad HamdiDepartment of Computer Science, Utah State University, Logan, UT, United States.Geverifieerd e-mailadres voor usu.edu
Karthik Ganesan PillaiDepartment of Computer Science, Montana State UniversityGeverifieerd e-mailadres voor cs.montana.edu
Anli JiGeorgia State UniversityGeverifieerd e-mailadres voor student.gsu.edu
Chetraj PandeyPh.D. Candidate at Georgia State UniversityGeverifieerd e-mailadres voor gsu.edu
Frederick PetryNaval Research Laboratory, Stennis Space CenterGeverifieerd e-mailadres voor nrlssc.navy.mil
Mahajan Sushant S.W. W. Hansen Experimental Physics Laboratory, Stanford UniversityGeverifieerd e-mailadres voor stanford.edu
Tim WylieAssociate Professor, University of Texas Rio Grande ValleyGeverifieerd e-mailadres voor utrgv.edu
Shahram RahimiDepartment Head and Professor, Mississippi State UniversityGeverifieerd e-mailadres voor cse.msstate.edu
Ahmet KucukGeorgia State UniversityGeverifieerd e-mailadres voor student.gsu.edu
Xumin CaiGeorgia State UniversityGeverifieerd e-mailadres voor student.gsu.edu
John W. SheppardNACOE Distinguished Professor of Computer Science, Montana State UniversityGeverifieerd e-mailadres voor montana.edu
M. Shahriar HossainUniversity of Texas at El PasoGeverifieerd e-mailadres voor utep.edu

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Rafal Angryk

Distinguished Professor of Computer Science, Georgia State University

Geverifieerd e-mailadres voor cs.montana.edu - Homepage

Space Weather Data Science Heliophysics Spatiotemporal Databases Machine Learning


Titel Sorteren op citaties Sorteren op jaar Sorteren op titel	Geciteerd door Geciteerd door	Jaar
Convolutional neural networks for time series classification B Zhao, H Lu, S Chen, J Liu, D Wu Journal of systems engineering and electronics 28 (1), 162-169, 2017	980	2017
Computer Vision for the Solar Dynamics Observatory (SDO) PCH Martens, GDR Attrill, AR Davey, A Engell, S Farid, PC Grigis, ... Solar Physics 275 (1), 79-113, 2012	166	2012
Multivariate time series dataset for space weather data analytics RA Angryk, PC Martens, B Aydin, D Kempton, SS Mahajan, S Basodi, ... Scientific data 7 (1), 227, 2020	138	2020
Gdclust: A graph-based document clustering technique MS Hossain, RA Angryk Seventh IEEE International Conference on Data Mining Workshops (ICDMW 2007 …, 2007	91	2007
Review of solar energetic particle prediction models K Whitman, R Egeland, IG Richardson, C Allison, P Quinn, J Barzilla, ... Advances in Space Research 72 (12), 5161-5242, 2023	72	2023
Measuring semantic similarity using wordnet-based context vectors S Wan, RA Angryk 2007 IEEE international conference on systems, man and cybernetics, 908-913, 2007	67	2007
How to train your flare prediction model: Revisiting robust sampling of rare events A Ahmadzadeh, B Aydin, MK Georgoulis, DJ Kempton, SS Mahajan, ... The Astrophysical Journal Supplement Series 254 (2), 23, 2021	57	2021
A large-scale solar image dataset with labeled event regions MA Schuh, RA Angryk, KG Pillai, JM Banda, PC Martens Image Processing (ICIP), 2013 20th IEEE International Conference on, 4349-4353, 2013	54	2013
Distance and density clustering for time series data R Ma, R Angryk 2017 IEEE international conference on data mining workshops (ICDMW), 25-32, 2017	51	2017
Spatio-temporal co-occurrence pattern mining in data sets with evolving regions KG Pillai, RA Angryk, JM Banda, MA Schuh, T Wylie 2012 IEEE 12th international conference on data mining workshops, 805-812, 2012	51	2012
A filter-and-refine approach to mine spatiotemporal co-occurrences KG Pillai, RA Angryk, B Aydin 21st ACM SIGSPATIAL International Conference on Advances in Geographic …, 2013	50	2013
Heuristic algorithm for interpretation of multi-valued attributes in similarity-based fuzzy relational databases RA Angryk, J Czerniak International journal of approximate reasoning 51 (8), 895-911, 2010	45	2010
A knowledge-based multi-agent system for geospatial data conflation S Rahimi, M Cobb, D Ali, M Paprzycki, F Petry Journal of Geographic Information and Decision Analysis 6 (2), 67-81, 2002	41	2002
Solar flare prediction using multivariate time series decision trees R Ma, SF Boubrahimi, SM Hamdi, RA Angryk 2017 IEEE International Conference on Big Data (Big Data), 2569-2578, 2017	37	2017
On the effectiveness of fuzzy clustering as a data discretization technique for large-scale classification of solar images JM Banda, RA Angryk 2009 IEEE International Conference on Fuzzy Systems, 2019-2024, 2009	37	2009
Travel Support System: An Agent Based Fram [e] work R Angryk, V Galant, M Gordon, M Paprzycki International Conference on Internet Computing, 719-725, 2002	37	2002
On the prediction of> 100 MeV solar energetic particle events using GOES satellite data SF Boubrahimi, B Aydin, P Martens, R Angryk 2017 IEEE International Conference on Big Data (Big Data), 2533-2542, 2017	35	2017
SPARQL queries on RDF with fuzzy constraints and preferences R Ma, X Jia, J Cheng, RA Angryk Journal of Intelligent & Fuzzy Systems 30 (1), 183-195, 2016	34	2016
An experimental evaluation of popular image parameters for monochromatic solar image categorization J Banda, R Angryk Twenty-Third International FLAIRS Conference, 2010	34	2010
A time series classification-based approach for solar flare prediction SM Hamdi, D Kempton, R Ma, SF Boubrahimi, RA Angryk 2017 IEEE International Conference on Big Data (Big Data), 2543-2551, 2017	33	2017

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