Berkay Aydin

According to our database, Berkay Aydin authored at least 64 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

AI Foundation Model for Heliophysics: Applications, Design, and Implementation.

Sujit Roy, Talwinder Singh, Marcus Freitag, Johannes Schmude, Rohit Lal, Dinesha Hegde, Soumya Ranjan, Amy Lin, Vishal Gaur, Etienne Eben Vos, Rinki Ghosal, Badri Narayana Patro, Berkay Aydin, Nikolai Pogorelov, Juan Bernabé-Moreno, Manil Maskey, Rahul Ramachandran

CoRR, 2024

Advancing Solar Flare Prediction Using Deep Learning with Active Region Patches.

Chetraj Pandey, Temitope Adeyeha, Jinsu Hong, Rafal A. Angryk, Berkay Aydin

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2024

Building an Extensible Data Ecosystem for Solar Magnetic Polarity Inversion Lines.

Nick Murphy, Ziba Khani, Berkay Aydin

Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems, 2024

Embedding Ordinality to Binary Loss Function for Improving Solar Flare Forecasting.

Chetraj Pandey, Anli Ji, Jinsu Hong, Rafal A. Angryk, Berkay Aydin

Proceedings of the 11th IEEE International Conference on Data Science and Advanced Analytics, 2024

Towards Hybrid Embedded Feature Selection and Classification Approach with Slim-TSF.

Anli Ji, Chetraj Pandey, Berkay Aydin

Proceedings of the Big Data Analytics and Knowledge Discovery, 2024

2023

Explaining Full-Disk Deep Learning Model for Solar Flare Prediction Using Attribution Methods.

Chetraj Pandey, Rafal A. Angryk, Berkay Aydin

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

Unveiling the Potential of Deep Learning Models for Solar Flare Prediction in Near-Limb Regions.

Chetraj Pandey, Rafal A. Angryk, Berkay Aydin

Proceedings of the International Conference on Machine Learning and Applications, 2023

An Innovative Solar Flare Metadata Collection for Space Weather Analytics.

Jinsu Hong, Chetraj Pandey, Anli Ji, Berkay Aydin

Proceedings of the International Conference on Machine Learning and Applications, 2023

Exploring Deep Learning for Full-disk Solar Flare Prediction with Empirical Insights from Guided Grad-CAM Explanations.

Chetraj Pandey, Anli Ji, Trisha Nandakumar, Rafal A. Angryk, Berkay Aydin

Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

Explainable Deep Learning-Based Solar Flare Prediction with Post Hoc Attention for Operational Forecasting.

Chetraj Pandey, Rafal A. Angryk, Manolis K. Georgoulis, Berkay Aydin

Proceedings of the Discovery Science - 26th International Conference, 2023

Beyond Traditional Flare Forecasting: A Data-driven Labeling Approach for High-fidelity Predictions.

Jinsu Hong, Anli Ji, Chetraj Pandey, Berkay Aydin

Proceedings of the Big Data Analytics and Knowledge Discovery, 2023

Active Region-Based Flare Forecasting with Sliding Window Multivariate Time Series Forest Classifiers.

Anli Ji, Berkay Aydin

Proceedings of the 5th IEEE International Conference on Cognitive Machine Intelligence, 2023

Enhancing Solar Flare Prediction with Innovative Data-Driven Labels.

Jinsu Hong, Anli Ji, Chetraj Pandey, Berkay Aydin

Proceedings of the 5th IEEE International Conference on Cognitive Machine Intelligence, 2023

Interpretable Solar Flare Prediction with Sliding Window Multivariate Time Series Forests.

Anli Ji, Berkay Aydin

Proceedings of the IEEE International Conference on Big Data, 2023

Towards Interpretable Solar Flare Prediction with Attention-based Deep Neural Networks.

Chetraj Pandey, Anli Ji, Rafal A. Angryk, Berkay Aydin

Proceedings of the Sixth IEEE International Conference on Artificial Intelligence and Knowledge Engineering, 2023

2022

Magnetic Polarity Inversion Line Detection and Analysis Tool.

Anli Ji, Nigar Khasayeva, Xumin Cai, Manolis K. Georgoulis, Petrus C. Martens, Rafal A. Angryk, Berkay Aydin

Dataset, June, 2022

Towards Coupling Full-disk and Active Region-based Flare Prediction for Operational Space Weather Forecasting.

Chetraj Pandey, Anli Ji, Rafal A. Angryk, Manolis K. Georgoulis, Berkay Aydin

CoRR, 2022

Solar Flare Forecasting with Deep Learning-based Time Series Classifiers.

Anli Ji, Junzhi Wen, Rafal A. Angryk, Berkay Aydin

Proceedings of the 26th International Conference on Pattern Recognition, 2022

2021

Spatiotemporal event sequence discovery without thresholds.

Berkay Aydin, Soukaina Filali Boubrahimi, Ahmet Küçük, Bita Nezamdoust, Rafal A. Angryk

GeoInformatica, 2021

How to Train Your Flare Prediction Model: Revisiting Robust Sampling of Rare Events.

Azim Ahmadzadeh, Berkay Aydin, Manolis K. Georgoulis, Dustin J. Kempton, Sushant S. Mahajan, Rafal A. Angryk

CoRR, 2021

Deep Neural Networks Based Solar Flare Prediction Using Compressed Full-disk Line-of-sight Magnetograms.

Chetraj Pandey, Rafal A. Angryk, Berkay Aydin

Proceedings of the Information Management and Big Data, 2021

A Modular Approach to Building Solar Energetic Particle Event Forecasting Systems.

Anli Ji, Akhil Arya, Dustin Kempton, Rafal A. Angryk, Manolis K. Georgoulis, Berkay Aydin

Proceedings of the Third IEEE International Conference on Cognitive Machine Intelligence, 2021

Solar Flare Forecasting with Deep Neural Networks using Compressed Full-disk HMI Magnetograms.

Chetraj Pandey, Rafal A. Angryk, Berkay Aydin

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

MVTS-Data Toolkit: A Python package for preprocessing multivariate time series data.

Azim Ahmadzadeh, Kankana Sinha, Berkay Aydin, Rafal A. Angryk

SoftwareX, 2020

Machine Learning in Heliophysics and Space Weather Forecasting: A White Paper of Findings and Recommendations.

Gelu Nita, Manolis K. Georgoulis, Irina Kitiashvili, Viacheslav Sadykov, Enrico Camporeale, Alexander Kosovichev, Haimin Wang, Vincent Oria, Jason T. L. Wang, Rafal A. Angryk, Berkay Aydin, Azim Ahmadzadeh, Xiaoli Bai, Timothy Bastian, Soukaina Filali Boubrahimi, Bin Chen, Alisdair Davey, Sheldon Fereira, Gregory Fleishman, Dale Gary, Andrew Gerrard, Gregory Hellbourg, Katherine Herbert, Jack Ireland, Egor Illarionov, Natsuha Kuroda, Qin Li, Chang Liu, Yuexin Liu, Hyomin Kim, Dustin Kempton, Ruizhe Ma, Petrus C. Martens, Ryan M. McGranaghan, Edward Semones, John T. Stefan, Andrey Stejko, Yaireska Collado-Vega, Meiqi Wang, Yan Xu, Sijie Yu

CoRR, 2020

A Framework for Local Outlier Detection from Spatio-Temporal Trajectory Datasets.

Xumin Cai, Berkay Aydin, Anli Ji, Rafal A. Angryk

Proceedings of the 25th International Conference on Pattern Recognition, 2020

All-Clear Flare Prediction Using Interval-based Time Series Classifiers.

Anli Ji, Berkay Aydin, Manolis K. Georgoulis, Rafal A. Angryk

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Solar Line-of-Sight Magnetograms Super-Resolution Using Deep Neural Networks.

Mohammed Shoebuddin Habeeb, Berkay Aydin, Azim Ahmadzadeh, Manolis K. Georgoulis, Rafal A. Angryk

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Deep Neural Network-based Active Region Magnetogram Patch Super Resolution.

Mohammed Shoebuddin Habeeb, Berkay Aydin, Azim Ahmadzadeh, Manolis K. Georgoulis, Rafal A. Angryk

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Local Outlier Detection for Multi-type Spatio-temporal Trajectories.

Xumin Cai, Berkay Aydin, Saurabh Maydeo, Anli Ji, Rafal A. Angryk

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

A Framework for Detecting Polarity Inversion Lines from Longitudinal Magnetograms.

Xumin Cai, Berkay Aydin, Anli Ji, Manolis K. Georgoulis, Rafal A. Angryk

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Rare-Event Time Series Prediction: A Case Study of Solar Flare Forecasting.

Azim Ahmadzadeh, Berkay Aydin, Dustin J. Kempton, Maxwell Hostetter, Rafal A. Angryk, Manolis K. Georgoulis, Sushant S. Mahajan

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Understanding the Impact of Statistical Time Series Features for Flare Prediction Analysis.

Maxwell Hostetter, Azim Ahmadzadeh, Berkay Aydin, Manolis K. Georgoulis, Dustin J. Kempton, Rafal A. Angryk

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

An Application of Spatio-temporal Co-occurrence Analyses for Integrating Solar Active Region Data from Multiple Reporting Modules.

Xumin Cai, Berkay Aydin, Manolis K. Georgoulis, Rafal A. Angryk

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Challenges with Extreme Class-Imbalance and Temporal Coherence: A Study on Solar Flare Data.

Azim Ahmadzadeh, Maxwell Hostetter, Berkay Aydin, Manolis K. Georgoulis, Dustin J. Kempton, Sushant S. Mahajan, Rafal A. Angryk

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Scalable kNN Search Approximation for Time Series Data.

Soukaina Filali Boubrahimi, Ruizhe Ma, Berkay Aydin, Shah Muhammad Hamdi, Rafal A. Angryk

Proceedings of the 24th International Conference on Pattern Recognition, 2018

Biomarker Detection from fMRI-Based Complete Functional Connectivity Networks.

Shah Muhammad Hamdi, Berkay Aydin, Soukaina Filali Boubrahimi, Rafal A. Angryk, Lisa Crystal Krishnamurthy, Robin D. Morris

Proceedings of the First IEEE International Conference on Artificial Intelligence and Knowledge Engineering, 2018

Neuro-Ensemble.

Soukaina Filali Boubrahimi, Ruizhe Ma, Berkay Aydin, Rafal A. Angryk

Proceedings of the First IEEE International Conference on Artificial Intelligence and Knowledge Engineering, 2018

2017

Measuring the Significance of Spatiotemporal Co-Occurrences.

Berkay Aydin, Ahmet Küçük, Rafal A. Angryk, Petrus C. Martens

ACM Trans. Spatial Algorithms Syst., 2017

An Integrated Solar Database (ISD) with Extended Spatiotemporal Querying Capabilities.

Ahmet Küçük, Berkay Aydin, Soukaina Filali Boubrahimi, Dustin Kempton, Rafal A. Angryk

Proceedings of the Advances in Spatial and Temporal Databases, 2017

Cultivating Evolving Region Trajectory Datasets.

Sajitha Naduvil-Vadukootu, Berkay Aydin, Michael A. Schuh, Rafal A. Angryk

Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Top-(R%, K) Spatiotemporal Event Sequence Mining.

Berkay Aydin, Ahmet Küçük, Soukaina Filali Boubrahimi, Rafal A. Angryk

Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Multi-wavelength solar event detection using faster R-CNN.

Ahmet Küçük, Berkay Aydin, Rafal A. Angryk

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

On the prediction of >100 MeV solar energetic particle events using GOES satellite data.

Soukaina Filali Boubrahimi, Berkay Aydin, Petrus C. Martens, Rafal A. Angryk

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Parallel computation of magnetic field parameters from HMI active region patches.

Sunitha Basodi, Berkay Aydin, Rafal A. Angryk

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016

Mining At Most Top-K% Spatiotemporal Co-occurrence Patterns in Datasets with Extended Spatial Representations.

Karthik Ganesan Pillai, Rafal A. Angryk, Juan M. Banda, Dustin Kempton, Berkay Aydin, Petrus C. Martens

ACM Trans. Spatial Algorithms Syst., 2016

Mining spatiotemporal co-occurrence patterns in non-relational databases.

Berkay Aydin, Vijay Akkineni, Rafal A. Angryk

GeoInformatica, 2016

Automatic personality prediction from audiovisual data using random forest regression.

Berkay Aydin, Ahmet Alp Kindiroglu, Oya Aran, Lale Akarun

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Spatiotemporal event sequence mining from evolving regions.

Berkay Aydin, Rafal A. Angryk

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

A Pattern Growth-Based Approach for Mining Spatiotemporal Co-occurrence Patterns.

Shah Muhammad Hamdi, Berkay Aydin, Rafal A. Angryk

Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

A Graph-Based Approach to Spatiotemporal Event Sequence Mining.

Berkay Aydin, Rafal A. Angryk

Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

SOLEV: a video generation framework for solar events from mixed data sources (demo paper).

Soukaina Filali Boubrahimi, Berkay Aydin, Dustin Kempton, Rafal A. Angryk

Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS 2016, Burlingame, California, USA, October 31, 2016

Discovering spatiotemporal event sequences.

Berkay Aydin, Rafal A. Angryk

Proceedings of the 5th ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems, 2016

Spatio-temporal interpolation methods for solar events metadata.

Soukaina Filali Boubrahimi, Berkay Aydin, Dustin Kempton, Rafal A. Angryk

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Indexing spatiotemporal relations in solar event datasets.

Berkay Aydin, Ahmet Küçük, Rafal A. Angryk

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Pg-Trajectory: A PostgreSQL/PostGIS Based Data Model for Spatiotemporal Trajectories.

Ahmet Küçük, Shah Muhammad Hamdi, Berkay Aydin, Michael A. Schuh, Rafal A. Angryk

Proceedings of the 2016 IEEE International Conferences on Big Data and Cloud Computing (BDCloud), 2016

Filling the Gaps in Solar Big Data: Interpolation of Solar Filament Event Instances.

Soukaina Filali Boubrahimi, Berkay Aydin, Dustin Kempton, Sushant S. Mahajan, Rafal A. Angryk

Proceedings of the 2016 IEEE International Conferences on Big Data and Cloud Computing (BDCloud), 2016

Predictive Spatio-Temporal Query Processor on Resilient Distributed Datasets.

Vijay Akkineni, Berkay Aydin, Sajitha Naduvil-Vadukootu, Rafal A. Angryk

Proceedings of the 2016 IEEE International Conferences on Big Data and Cloud Computing (BDCloud), 2016

2015

Mining spatiotemporal co-occurrence patterns in solar datasets.

Berkay Aydin, Dustin Kempton, Vijay Akkineni, Rafal A. Angryk, Karthik Ganesan Pillai

Astron. Comput., 2015

Spatiotemporal Frequent Pattern Mining on Solar Data: Current Algorithms and Future Directions.

Berkay Aydin, Rafal A. Angryk

Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

Time-efficient significance measure for discovering spatiotemporal co-occurrences from data with unbalanced characteristics.

Berkay Aydin, Vijay Akkineni, Rafal A. Angryk

Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2015

2014

ERMO-DG: Evolving Region Moving Object Dataset Generator.

Berkay Aydin, Rafal A. Angryk, Karthik Ganesan Pillai

Proceedings of the Twenty-Seventh International Florida Artificial Intelligence Research Society Conference, 2014

Spatiotemporal indexing techniques for efficiently mining spatiotemporal co-occurrence patterns.

Berkay Aydin, Dustin Kempton, Vijay Akkineni, Shaktidhar Reddy Gopavaram, Karthik Ganesan Pillai, Rafal A. Angryk

Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

2013

A filter-and-refine approach to mine spatiotemporal co-occurrences.

Karthik Ganesan Pillai, Rafal A. Angryk, Berkay Aydin

Proceedings of the 21st SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2013