Name
Affiliation
Papers
BERKAY AYDIN
Georgia State University, Atlanta, GA
29
Collaborators
Citations 
PageRank 
30
40
10.75
Referers 
Referees 
References 
50
349
235
Search Limit
100349
Title
Citations
PageRank
Year
Spatiotemporal Event Sequence Discovery Without Thresholds00.342021
A Modular Approach to Building Solar Energetic Particle Event Forecasting Systems00.342021
A Framework For Local Outlier Detection From Spatio-Temporal Trajectory Datasets00.342020
Understanding The Impact Of Statistical Time Series Features For Flare Prediction Analysis00.342019
Challenges With Extreme Class-Imbalance And Temporal Coherence: A Study On Solar Flare Data00.342019
An Application Of Spatio-Temporal Co-Occurrence Analyses For Integrating Solar Active Region Data From Multiple Reporting Modules00.342019
Scalable Knn Search Approximation For Time Series Data00.342018
Biomarker Detection from fMRI-Based Complete Functional Connectivity Networks00.342018
Neuro-Ensemble.00.342018
On The Prediction Of > 100 Mev Solar Energetic Particle Events Using Goes Satellite Data00.342017
Multi-Wavelength Solar Event Detection Using Faster R-Cnn00.342017
An Integrated Solar Database (ISD) with Extended Spatiotemporal Querying Capabilities.00.342017
Top-(R%, K) Spatiotemporal Event Sequence Mining00.342017
Cultivating Evolving Region Trajectory Datasets00.342017
Measuring the Significance of Spatiotemporal Co-Occurrences.20.382017
SOLEV: a video generation framework for solar events from mixed data sources (demo paper).00.342016
Spatio-Temporal Interpolation Methods For Solar Events Metadata00.342016
Filling the Gaps in Solar Big Data: Interpolation of Solar Filament Event Instances10.362016
Indexing Spatiotemporal Relations In Solar Event Datasets00.342016
Pg-Trajectory: A PostgreSQL/PostGIS Based Data Model for Spatiotemporal Trajectories10.352016
Mining spatiotemporal co-occurrence patterns in non-relational databases.00.342016
Predictive Spatio-Temporal Query Processor on Resilient Distributed Datasets00.342016
Mining At Most Top-K% Spatiotemporal Co-occurrence Patterns in Datasets with Extended Spatial Representations.00.342016
Discovering spatiotemporal event sequences.00.342016
Time-efficient significance measure for discovering spatiotemporal co-occurrences from data with unbalanced characteristics.60.492015
Spatiotemporal Frequent Pattern Mining on Solar Data: Current Algorithms and Future Directions.60.462015
Mining spatiotemporal co-occurrence patterns in solar datasets40.562015
ERMO-DG: Evolving Region Moving Object Dataset Generator.70.462014
A filter-and-refine approach to mine spatiotemporal co-occurrences130.592013