Berkay Aydın

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Rafal AngrykDistinguished Professor of Computer Science, Georgia State UniversityGeverifieerd e-mailadres voor cs.montana.edu
Manolis K. GeorgoulisSenior Professional Staff, Johns Hopkins APLGeverifieerd e-mailadres voor jhuapl.edu
Dustin KemptonResearch Assistant Professor, Georgia State UniversityGeverifieerd e-mailadres voor gsu.edu
Soukaina Filali BoubrahimiDepartment of Computer Science, Utah State University, Logan, Utah, USAGeverifieerd e-mailadres voor usu.edu
Anli JiGeorgia State UniversityGeverifieerd e-mailadres voor student.gsu.edu
Chetraj PandeyPh.D. Candidate at Georgia State UniversityGeverifieerd e-mailadres voor gsu.edu
Azim AhmadzadehAssistant Professor, Department of Computer Science, University of Missouri-St. LouisGeverifieerd e-mailadres voor umsl.edu
Mahajan Sushant S.W. W. Hansen Experimental Physics Laboratory, Stanford UniversityGeverifieerd e-mailadres voor stanford.edu
Shah Muhammad HamdiDepartment of Computer Science, Utah State University, Logan, UT, United States.Geverifieerd e-mailadres voor usu.edu
Michael A. SchuhDept of Computer Science, Montana State UniversityGeverifieerd e-mailadres voor cs.montana.edu
Xumin CaiGeorgia State UniversityGeverifieerd e-mailadres voor student.gsu.edu
Karthik Ganesan PillaiDepartment of Computer Science, Montana State UniversityGeverifieerd e-mailadres voor cs.montana.edu
Ahmet KucukGeorgia State UniversityGeverifieerd e-mailadres voor student.gsu.edu
Sunitha BasodiTReNDS Center, Georgia State University, Georgia Institute of Technology and Emory UniversityGeverifieerd e-mailadres voor gsu.edu
Sumanth RottiPostdoctoral Researcher at Georgia State UniversityGeverifieerd e-mailadres voor gsu.edu
Ruizhe MaUniversity of Massachusetts Lowell, Georgia State University, Northeastern UniversityGeverifieerd e-mailadres voor uml.edu
Jinsu HongGraduate Student, Georgia State UniversityGeverifieerd e-mailadres voor student.gsu.edu
Junzhi WenGeorgia State UniversityGeverifieerd e-mailadres voor student.gsu.edu
Akhil AryaApplied ScientistGeverifieerd e-mailadres voor amazon.com
Viacheslav SadykovAssistant Professor, Georgia State UniversityGeverifieerd e-mailadres voor gsu.edu

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Berkay Aydın

Assistant Professor at Georgia State University

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

Spatiotemporal Data Mining Spatiotemporal Databases Data Integration


Titel Sorteren op citaties Sorteren op jaar Sorteren op titel	Geciteerd door Geciteerd door	Jaar
Multivariate Time Series Dataset for Space Weather Data Analytics RA Angryk, PC Martens, B Aydin, D Kempton, SS Mahajan, S Basodi, ... Sci. Data, 2020	143	2020
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	75	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	59	2021
A filter-and-refine approach to mine spatiotemporal co-occurrences KG Pillai, RA Angryk, B Aydin Proceedings of the 21st ACM SIGSPATIAL International Conference on Advances …, 2013	50	2013
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, BigData 2017, Boston, MA …, 2017	36	2017
Challenges with extreme class-imbalance and temporal coherence: A study on solar flare data A Ahmadzadeh, M Hostetter, B Aydin, MK Georgoulis, DJ Kempton, ... 2019 IEEE International Conference on Big Data (Big Data), 1423-1431, 2019	32	2019
Spatiotemporal Indexing Techniques for Efficiently Mining Spatiotemporal Co-occurrence Patterns B Aydin, D Kempton, V Akkineni, S Govaparam, K Ganesan Pillai, ... 2014 IEEE International Conference on Big Data, Big Data 2014, Washington …, 2014	31	2014
Solar Flare Forecasting with Deep Neural Networks using Compressed Full-disk HMI Magnetograms C Pandey, RA Angryk, B Aydin 2021 IEEE International Conference on Big Data (Big Data), 1725-1730, 2021	26	2021
All-Clear Flare Prediction Using Interval-based Time Series Classifiers A Ji, B Aydin, G Manolis K., R Angryk 2020 IEEE International Conference on Big Data (Big Data), 2020	25	2020
Spatio-temporal interpolation methods for solar events metadata SF Boubrahimi, B Aydin, D Kempton, R Angryk 2016 IEEE International Conference on Big Data (Big Data), 3149-3157, 2016	25	2016
Modeling and Indexing Spatiotemporal Trajectory Data in Non-Relational Databases B Aydin, V Akkineni, R Angryk Managing Big Data in Cloud Computing Environments, 133-162, 2016	23	2016
Towards coupling full-disk and active region-based flare prediction for operational space weather forecasting C Pandey, A Ji, RA Angryk, MK Georgoulis, B Aydin Applications of statistical methods and machine learning in the space sciences, 2022	20	2022
Spatiotemporal Interpolation Methods for Solar Event Trajectories SF Boubrahimi, B Aydin, MA Schuh, D Kempton, RA Angryk, R Ma The Astrophysical Journal Supplement Series 236 (1), 23, 2018	20	2018
Spatiotemporal Frequent Pattern Mining on Solar Data: Current Algorithms and Future Directions B Aydin, R Angryk IEEE International Conference on Data Mining Workshop, ICDMW 2015, Atlantic …, 2015	20	2015
A Graph-based Approach to Spatiotemporal Event Sequence Mining B Aydin, R Angryk 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW …, 2016	19	2016
Spatiotemporal Event Sequence Mining from Evolving Regions B Aydin, R Angryk 23rd International Conference on Pattern Recognition (ICPR), Cancún, México …, 2016	19	2016
Mining spatiotemporal co-occurrence patterns in non-relational databases B Aydin, V Akkineni, R Angryk GeoInformatica 20 (4), 801-828, 2016	19	2016
ERMO-DG: Evolving Region Moving Object Dataset Generator B Aydin, RA Angryk, K Ganesan Pillai Proceedings of the 27th FLAIRS International Conference, 321-326, 2014	19	2014
Time-efficient significance measure for discovering spatiotemporal co-occurrences from data with unbalanced characteristics B Aydin, V Akkineni, R Angryk Proceedings of the 23rd ACM SIGSPATIAL International Conference on Advances …, 2015	17	2015
Deep Neural Networks Based Solar Flare Prediction Using Compressed Full-disk Line-of-sight Magnetograms C Pandey, RA Angryk, B Aydin Annual International Conference on Information Management and Big Data, 380-396, 2022	16	2022

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