Berkay Aydin

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 62

Top Topics

Multivariate Time Series

Weather Forecast

Top Venues

Publications

Chetraj Pandey, Temitope Adeyeha, Jinsu Hong, Rafal A. Angryk, Berkay Aydin
Advancing Solar Flare Prediction using Deep Learning with Active Region Patches. CoRR (2024)
Anli Ji, Berkay Aydin
Active Region-based Flare Forecasting with Sliding Window Multivariate Time Series Forest Classifiers. CoRR (2024)
Anli Ji, Chetraj Pandey, Berkay Aydin
Towards Hybrid Embedded Feature Selection and Classification Approach with Slim-TSF. DaWaK (2024)
Chetraj Pandey, Rafal A. Angryk, Berkay Aydin
Explaining Full-disk Deep Learning Model for Solar Flare Prediction using Attribution Methods. CoRR (2023)
Anli Ji, Berkay Aydin
Active Region-Based Flare Forecasting with Sliding Window Multivariate Time Series Forest Classifiers. CogMI (2023)
Chetraj Pandey, Anli Ji, Rafal A. Angryk, Berkay Aydin
Towards Interpretable Solar Flare Prediction with Attention-based Deep Neural Networks. AIKE (2023)
Jinsu Hong, Anli Ji, Chetraj Pandey, Berkay Aydin
Beyond Traditional Flare Forecasting: A Data-driven Labeling Approach for High-fidelity Predictions. DaWaK (2023)
Chetraj Pandey, Rafal A. Angryk, Berkay Aydin
Explaining Full-Disk Deep Learning Model for Solar Flare Prediction Using Attribution Methods. ECML/PKDD (7) (2023)
Chetraj Pandey, Anli Ji, Trisha Nandakumar, Rafal A. Angryk, Berkay Aydin
Exploring Deep Learning for Full-disk Solar Flare Prediction with Empirical Insights from Guided Grad-CAM Explanations. DSAA (2023)
Chetraj Pandey, Rafal A. Angryk, Manolis K. Georgoulis, Berkay Aydin
Explainable Deep Learning-Based Solar Flare Prediction with Post Hoc Attention for Operational Forecasting. DS (2023)
Chetraj Pandey, Rafal A. Angryk, Manolis K. Georgoulis, Berkay Aydin
Explainable Deep Learning-based Solar Flare Prediction with post hoc Attention for Operational Forecasting. CoRR (2023)
Chetraj Pandey, Anli Ji, Rafal A. Angryk, Berkay Aydin
Towards Interpretable Solar Flare Prediction with Attention-based Deep Neural Networks. CoRR (2023)
Chetraj Pandey, Rafal A. Angryk, Berkay Aydin
Unveiling the Potential of Deep Learning Models for Solar Flare Prediction in Near-Limb Regions. CoRR (2023)
Jinsu Hong, Chetraj Pandey, Anli Ji, Berkay Aydin
An Innovative Solar Flare Metadata Collection for Space Weather Analytics. ICMLA (2023)
Chetraj Pandey, Anli Ji, Trisha Nandakumar, Rafal A. Angryk, Berkay Aydin
Exploring Deep Learning for Full-disk Solar Flare Prediction with Empirical Insights from Guided Grad-CAM Explanations. CoRR (2023)
Chetraj Pandey, Rafal A. Angryk, Berkay Aydin
Unveiling the Potential of Deep Learning Models for Solar Flare Prediction in Near-Limb Regions. ICMLA (2023)
Jinsu Hong, Anli Ji, Chetraj Pandey, Berkay Aydin
Enhancing Solar Flare Prediction with Innovative Data-Driven Labels. CogMI (2023)
Anli Ji, Berkay Aydin
Interpretable Solar Flare Prediction with Sliding Window Multivariate Time Series Forests. BigData (2023)
Chetraj Pandey, Anli Ji, Rafal A. Angryk, Manolis K. Georgoulis, Berkay Aydin
Towards Coupling Full-disk and Active Region-based Flare Prediction for Operational Space Weather Forecasting. CoRR (2022)
Anli Ji, Junzhi Wen, Rafal A. Angryk, Berkay Aydin
Solar Flare Forecasting with Deep Learning-based Time Series Classifiers. ICPR (2022)
Anli Ji, Akhil Arya, Dustin Kempton, Rafal A. Angryk, Manolis K. Georgoulis, Berkay Aydin
A Modular Approach to Building Solar Energetic Particle Event Forecasting Systems. CogMI (2021)
Chetraj Pandey, Rafal A. Angryk, Berkay Aydin
Deep Neural Networks Based Solar Flare Prediction Using Compressed Full-disk Line-of-sight Magnetograms. SIMBig (2021)
Anli Ji, Berkay Aydin, Manolis K. Georgoulis, Rafal A. Angryk
All-Clear Flare Prediction Using Interval-based Time Series Classifiers. CoRR (2021)
Chetraj Pandey, Rafal A. Angryk, Berkay Aydin
Solar Flare Forecasting with Deep Neural Networks using Compressed Full-disk HMI Magnetograms. IEEE BigData (2021)
Azim Ahmadzadeh, Berkay Aydin, Manolis K. Georgoulis, Dustin J. Kempton, Sushant S. Mahajan, Rafal A. Angryk
How to Train Your Flare Prediction Model: Revisiting Robust Sampling of Rare Events. CoRR (2021)
Berkay Aydin, Soukaina Filali Boubrahimi, Ahmet Küçük, Bita Nezamdoust, Rafal A. Angryk
Spatiotemporal event sequence discovery without thresholds. GeoInformatica 25 (1) (2021)
Anli Ji, Berkay Aydin, Manolis K. Georgoulis, Rafal A. Angryk
All-Clear Flare Prediction Using Interval-based Time Series Classifiers. IEEE BigData (2020)
Xumin Cai, Berkay Aydin, Saurabh Maydeo, Anli Ji, Rafal A. Angryk
Local Outlier Detection for Multi-type Spatio-temporal Trajectories. IEEE BigData (2020)
Mohammed Shoebuddin Habeeb, Berkay Aydin, Azim Ahmadzadeh, Manolis K. Georgoulis, Rafal A. Angryk
Solar Line-of-Sight Magnetograms Super-Resolution Using Deep Neural Networks. IEEE BigData (2020)
Xumin Cai, Berkay Aydin, Anli Ji, Rafal A. Angryk
A Framework for Local Outlier Detection from Spatio-Temporal Trajectory Datasets. ICPR (2020)
Xumin Cai, Berkay Aydin, Anli Ji, Manolis K. Georgoulis, Rafal A. Angryk
A Framework for Detecting Polarity Inversion Lines from Longitudinal Magnetograms. IEEE BigData (2020)
Mohammed Shoebuddin Habeeb, Berkay Aydin, Azim Ahmadzadeh, Manolis K. Georgoulis, Rafal A. Angryk
Deep Neural Network-based Active Region Magnetogram Patch Super Resolution. IEEE BigData (2020)
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 Stefan, Andrey Stejko, Yaireska Collado-Vega, Meiqi Wang, Yan Xu, Sijie Yu
Machine Learning in Heliophysics and Space Weather Forecasting: A White Paper of Findings and Recommendations. CoRR (2020)
Azim Ahmadzadeh, Kankana Sinha, Berkay Aydin, Rafal A. Angryk
MVTS-Data Toolkit: A Python package for preprocessing multivariate time series data. SoftwareX 12 (2020)
Maxwell Hostetter, Azim Ahmadzadeh, Berkay Aydin, Manolis K. Georgoulis, Dustin J. Kempton, Rafal A. Angryk
Understanding the Impact of Statistical Time Series Features for Flare Prediction Analysis. IEEE BigData (2019)
Xumin Cai, Berkay Aydin, Manolis K. Georgoulis, Rafal A. Angryk
An Application of Spatio-temporal Co-occurrence Analyses for Integrating Solar Active Region Data from Multiple Reporting Modules. IEEE BigData (2019)
Azim Ahmadzadeh, Maxwell Hostetter, Berkay Aydin, Manolis K. Georgoulis, Dustin J. Kempton, Sushant S. Mahajan, Rafal A. Angryk
Challenges with Extreme Class-Imbalance and Temporal Coherence: A Study on Solar Flare Data. IEEE BigData (2019)
Azim Ahmadzadeh, Maxwell Hostetter, Berkay Aydin, Manolis K. Georgoulis, Dustin J. Kempton, Sushant S. Mahajan, Rafal A. Angryk
Challenges with Extreme Class-Imbalance and Temporal Coherence: A Study on Solar Flare Data. CoRR (2019)
Azim Ahmadzadeh, Berkay Aydin, Dustin J. Kempton, Maxwell Hostetter, Rafal A. Angryk, Manolis K. Georgoulis, Sushant S. Mahajan
Rare-Event Time Series Prediction: A Case Study of Solar Flare Forecasting. ICMLA (2019)
Soukaina Filali Boubrahimi, Ruizhe Ma, Berkay Aydin, Rafal A. Angryk
Neuro-Ensemble. AIKE (2018)
Shah Muhammad Hamdi, Berkay Aydin, Soukaina Filali Boubrahimi, Rafal A. Angryk, Lisa Crystal Krishnamurthy, Robin D. Morris
Biomarker Detection from fMRI-Based Complete Functional Connectivity Networks. AIKE (2018)
Soukaina Filali Boubrahimi, Ruizhe Ma, Berkay Aydin, Shah Muhammad Hamdi, Rafal A. Angryk
Scalable kNN Search Approximation for Time Series Data. ICPR (2018)
Berkay Aydin, Ahmet Küçük, Rafal A. Angryk, Petrus C. Martens
Measuring the Significance of Spatiotemporal Co-Occurrences. ACM Trans. Spatial Algorithms Syst. 3 (3) (2017)
Berkay Aydin, Ahmet Küçük, Soukaina Filali Boubrahimi, Rafal A. Angryk
Top-(R%, K) Spatiotemporal Event Sequence Mining. ICDM Workshops (2017)
Sajitha Naduvil-Vadukootu, Berkay Aydin, Michael A. Schuh, Rafal A. Angryk
Cultivating Evolving Region Trajectory Datasets. ICDM Workshops (2017)
Ahmet Küçük, Berkay Aydin, Rafal A. Angryk
Multi-wavelength solar event detection using faster R-CNN. IEEE BigData (2017)
Soukaina Filali Boubrahimi, Berkay Aydin, Petrus C. Martens, Rafal A. Angryk
100 MeV solar energetic particle events using GOES satellite data. IEEE BigData (2017)
Ahmet Küçük, Berkay Aydin, Soukaina Filali Boubrahimi, Dustin Kempton, Rafal A. Angryk
An Integrated Solar Database (ISD) with Extended Spatiotemporal Querying Capabilities. SSTD (2017)
Sunitha Basodi, Berkay Aydin, Rafal A. Angryk
Parallel computation of magnetic field parameters from HMI active region patches. IEEE BigData (2017)
Vijay Akkineni, Berkay Aydin, Sajitha Naduvil-Vadukootu, Rafal A. Angryk
Predictive Spatio-Temporal Query Processor on Resilient Distributed Datasets. BDCloud-SocialCom-SustainCom (2016)
Berkay Aydin, Vijay Akkineni, Rafal A. Angryk
Mining spatiotemporal co-occurrence patterns in non-relational databases. GeoInformatica 20 (4) (2016)
Ahmet Küçük, Shah Muhammad Hamdi, Berkay Aydin, Michael A. Schuh, Rafal A. Angryk
Pg-Trajectory: A PostgreSQL/PostGIS Based Data Model for Spatiotemporal Trajectories. BDCloud-SocialCom-SustainCom (2016)
Soukaina Filali Boubrahimi, Berkay Aydin, Dustin Kempton, Rafal A. Angryk
Spatio-temporal interpolation methods for solar events metadata. IEEE BigData (2016)
Berkay Aydin, Rafal A. Angryk
A Graph-Based Approach to Spatiotemporal Event Sequence Mining. ICDM Workshops (2016)
Berkay Aydin, Rafal A. Angryk
Spatiotemporal event sequence mining from evolving regions. ICPR (2016)
Berkay Aydin, Ahmet Küçük, Rafal A. Angryk
Indexing spatiotemporal relations in solar event datasets. IEEE BigData (2016)
Soukaina Filali Boubrahimi, Berkay Aydin, Dustin Kempton, Sushant S. Mahajan, Rafal A. Angryk
Filling the Gaps in Solar Big Data: Interpolation of Solar Filament Event Instances. BDCloud-SocialCom-SustainCom (2016)
Soukaina Filali Boubrahimi, Berkay Aydin, Dustin Kempton, Rafal A. Angryk
SOLEV: a video generation framework for solar events from mixed data sources (demo paper). SIGSPATIAL/GIS (2016)
Berkay Aydin, Ahmet Alp Kindiroglu, Oya Aran, Lale Akarun
Automatic personality prediction from audiovisual data using random forest regression. ICPR (2016)
Karthik Ganesan Pillai, Rafal A. Angryk, Juan M. Banda, Dustin Kempton, Berkay Aydin, Petrus C. Martens
Mining At Most Top-K% Spatiotemporal Co-occurrence Patterns in Datasets with Extended Spatial Representations. ACM Trans. Spatial Algorithms Syst. 2 (3) (2016)
Shah Muhammad Hamdi, Berkay Aydin, Rafal A. Angryk
A Pattern Growth-Based Approach for Mining Spatiotemporal Co-occurrence Patterns. ICDM Workshops (2016)
Berkay Aydin, Rafal A. Angryk
Discovering spatiotemporal event sequences. MobiGIS (2016)
Berkay Aydin, Rafal A. Angryk
Spatiotemporal Frequent Pattern Mining on Solar Data: Current Algorithms and Future Directions. ICDM Workshops (2015)
Berkay Aydin, Vijay Akkineni, Rafal A. Angryk
Time-efficient significance measure for discovering spatiotemporal co-occurrences from data with unbalanced characteristics. SIGSPATIAL/GIS (2015)
Berkay Aydin, Dustin Kempton, Vijay Akkineni, Rafal A. Angryk, Karthik Ganesan Pillai
Mining spatiotemporal co-occurrence patterns in solar datasets. Astron. Comput. 13 (2015)
Berkay Aydin, Rafal A. Angryk, Karthik Ganesan Pillai
ERMO-DG: Evolving Region Moving Object Dataset Generator. FLAIRS Conference (2014)
Berkay Aydin, Dustin Kempton, Vijay Akkineni, Shaktidhar Reddy Gopavaram, Karthik Ganesan Pillai, Rafal A. Angryk
Spatiotemporal indexing techniques for efficiently mining spatiotemporal co-occurrence patterns. IEEE BigData (2014)
Karthik Ganesan Pillai, Rafal A. Angryk, Berkay Aydin
A filter-and-refine approach to mine spatiotemporal co-occurrences. SIGSPATIAL/GIS (2013)