Rafal Angryk

Cituota

	Visi	Nuo 2020
Šaltiniai	4215	2452
h-rodyklė	27	19
i10-rodyklė	108	46

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78 straipsniai

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Berkay AydınAssistant Professor at Georgia State UniversityPatvirtintas el. paštas cs.gsu.edu
Dustin KemptonResearch Assistant Professor, Georgia State UniversityPatvirtintas el. paštas gsu.edu
Michael A. SchuhDept of Computer Science, Montana State UniversityPatvirtintas el. paštas cs.montana.edu
Juan M. BandaStanford Health CarePatvirtintas el. paštas stanfordhealthcare.org
Manolis K. GeorgoulisSenior Professional Staff, Johns Hopkins APLPatvirtintas el. paštas jhuapl.edu
Soukaina Filali BoubrahimiDepartment of Computer Science, Utah State University, Logan, Utah, USAPatvirtintas el. paštas usu.edu
Azim AhmadzadehAssistant Professor, Department of Computer Science, University of Missouri-St. LouisPatvirtintas el. paštas umsl.edu
Ruizhe MaUniversity of Massachusetts Lowell, Georgia State University, Northeastern UniversityPatvirtintas el. paštas uml.edu
Shah Muhammad HamdiDepartment of Computer Science, Utah State University, Logan, UT, United States.Patvirtintas el. paštas usu.edu
Karthik Ganesan PillaiDepartment of Computer Science, Montana State UniversityPatvirtintas el. paštas cs.montana.edu
Anli JiGeorgia State UniversityPatvirtintas el. paštas student.gsu.edu
Chetraj PandeyPh.D. Candidate at Georgia State UniversityPatvirtintas el. paštas gsu.edu
Mahajan Sushant S.W. W. Hansen Experimental Physics Laboratory, Stanford UniversityPatvirtintas el. paštas stanford.edu
Frederick PetryNaval Research Laboratory, Stennis Space CenterPatvirtintas el. paštas nrlssc.navy.mil
Tim WylieAssociate Professor, University of Texas Rio Grande ValleyPatvirtintas el. paštas utrgv.edu
Shahram RahimiDepartment Head and Professor, The University of AlabamaPatvirtintas el. paštas ua.edu
Ahmet KucukGeorgia State UniversityPatvirtintas el. paštas student.gsu.edu
Xumin CaiGeorgia State UniversityPatvirtintas el. paštas student.gsu.edu
John W. SheppardNACOE Distinguished Professor of Computer Science, Montana State UniversityPatvirtintas el. paštas montana.edu
M. Shahriar HossainUniversity of Texas at El PasoPatvirtintas el. paštas utep.edu

Stebėti

Rafal Angryk

Distinguished Professor of Computer Science, Georgia State University

Patvirtintas el. paštas cs.montana.edu - Pagrindinis puslapis

Space Weather Data Science Heliophysics Spatiotemporal Databases Machine Learning


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
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	1034	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	169	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	162	2020
Gdclust: A graph-based document clustering technique MS Hossain, RA Angryk Seventh IEEE International Conference on Data Mining Workshops (ICDMW 2007 …, 2007	90	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	86	2023
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	67	2021
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
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	56	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	53	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	52	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	51	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	48	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	38	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	36	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	35	2016
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	34	2017
An Experimental Evaluation of Popular Image Parameters for Monochromatic Solar Image Categorization. JM Banda, RA Angryk FLAIRS, 2010	34	2010

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