Berkay Aydin - RankMe

90 papers B 14C 4Misc 1Journal 29Unranked 42

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Physics-Guided Counterfactual Explanations for Large-Scale Multivariate Time Series: Application in Scalable and Interpretable SEP Event Prediction. CoRR Pranjal Patil, Anli Ji, Berkay Aydin
2026	J	`jnl`	Uncertainty-Aware Solar Flare Regression. CoRR Jinsu Hong, Chetraj Pandey, Berkay Aydin
2025	C	`conf`	A Multimodal Machine Learning Approach for Solar Flare Prediction Using Polarity Inversion Lines Data with Low-Rank Fusion. ICMLA Ziba Khani, Reza Mansouri, Rafal A. Angryk, Berkay Aydin
2025	—	`conf`	Enhancing Explainability in Solar Energetic Particle Event Prediction: A Global Feature Mapping Approach. ICDM (Workshops) Anli Ji, Pranjal Patil, Chetraj Pandey, Manolis K. Georgoulis, Berkay Aydin
2025	J	`jnl`	Enhancing Explainability in Solar Energetic Particle Event Prediction: A Global Feature Mapping Approach. CoRR Anli Ji, Pranjal Patil, Chetraj Pandey, Manolis K. Georgoulis, Berkay Aydin
2025	—	`conf`	Exploring Temporal and Regularization Frameworks for Atmospheric Wind Layer Prediction from Speckle Imaging. ICDM (Workshops) Vignesh Kumar Pandian Sathia, Nick Murphy, Ruchir Namjoshi, Dustin Kempton, Stuart Jefferies, Berkay Aydin
2025	—	`conf`	Ordinal Encoding as a Regularizer in Binary Loss for Solar Flare Prediction. ICDM (Workshops) Chetraj Pandey, Jinsu Hong, Anli Ji, Rafal A. Angryk, Berkay Aydin
2025	J	`jnl`	Ordinal Encoding as a Regularizer in Binary Loss for Solar Flare Prediction. CoRR Chetraj Pandey, Jinsu Hong, Anli Ji, Rafal A. Angryk, Berkay Aydin
2025	B	`conf`	Physics-Guided Counterfactual Explanations for Large-Scale Multivariate Time Series: Application in Scalable and Interpretable SEP Event Prediction. IEEE Big Data Pranjal Patil, Anli Ji, Berkay Aydin
2025	J	`jnl`	Surya: Foundation Model for Heliophysics. CoRR Sujit Roy, Johannes Schmude, Rohit Lal, Vishal Gaur, Marcus Freitag, Julian Kuehnert, Theodore van Kessel, Dinesha Hegde, Andrés Muñoz-Jaramillo, Johannes Jakubik, Etienne Eben Vos, Kshitiz Mandal, Ata Akbari Asanjan, João Lucas de Sousa Almeida, Amy Lin, Talwinder Singh, Yanghui Kang, Chetraj Pandey, Jinsu Hong, Berkay Aydin, Thorsten Kurth, Ryan M. McGranaghan, Spiridon Kasapis, Vishal Upendran, Shah Bahauddin, Daniel da Silva, Nikolai V. Pogorelov, Anne Spalding, Campbell D. Watson, Manil Maskey, Madhulika Guhathakurta, Juan Bernabé-Moreno, Rahul Ramachandran
2025	J	`jnl`	SuryaBench: Benchmark Dataset for Advancing Machine Learning in Heliophysics and Space Weather Prediction. CoRR Sujit Roy, Dinesha Hegde, Johannes Schmude, Amy Lin, Vishal Gaur, Rohit Lal, Kshitiz Mandal, Talwinder Singh, Andrés Muñoz-Jaramillo, Yanghui Kang, Chetraj Pandey, Jinsu Hong, Berkay Aydin, Ryan McGranaghan, Spiridon Kasapis, Vishal Upendran, Shah Bahauddin, Daniel da Silva, Marcus Freitag, Iksha Gurung, Nikolai V. Pogorelov, Campbell D. Watson, Manil Maskey, Juan Bernabé-Moreno, Rahul Ramachandran
2025	J	`jnl`	TAMAG: A python library for Transformation and Augmentation of solar Magnetograms. SoftwareX Temitope Adeyeha, Chetraj Pandey, Berkay Aydin
2025	—	`conf`	Towards Multimodal Solar Flare Prediction Using Magnetic Polarity Inversion Lines. CogMI Ziba Khani, Reza Mansouri, Berkay Aydin
2025	—	`conf`	Uncertainty-Aware Solar Flare Regression. ICDM (Workshops) Jinsu Hong, Chetraj Pandey, Berkay Aydin
2024	J	`jnl`	AI Foundation Model for Heliophysics: Applications, Design, and Implementation. CoRR 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 V. Pogorelov, Juan Bernabé-Moreno, Manil Maskey, Rahul Ramachandran
2024	J	`jnl`	Active Region-based Flare Forecasting with Sliding Window Multivariate Time Series Forest Classifiers. CoRR Anli Ji, Berkay Aydin
2024	—	`conf`	Advancing Solar Flare Prediction Using Deep Learning with Active Region Patches. ECML/PKDD (10) Chetraj Pandey, Temitope Adeyeha, Jinsu Hong, Rafal A. Angryk, Berkay Aydin
2024	J	`jnl`	Advancing Solar Flare Prediction using Deep Learning with Active Region Patches. CoRR Chetraj Pandey, Temitope Adeyeha, Jinsu Hong, Rafal A. Angryk, Berkay Aydin
2024	—	`conf`	Building an Extensible Data Ecosystem for Solar Magnetic Polarity Inversion Lines. SIGSPATIAL/GIS Nick Murphy, Ziba Khani, Berkay Aydin
2024	B	`conf`	Embedding Ordinality to Binary Loss Function for Improving Solar Flare Forecasting. DSAA Chetraj Pandey, Anli Ji, Jinsu Hong, Rafal A. Angryk, Berkay Aydin
2024	J	`jnl`	Embedding Ordinality to Binary Loss Function for Improving Solar Flare Forecasting. CoRR Chetraj Pandey, Anli Ji, Jinsu Hong, Rafal A. Angryk, Berkay Aydin
2024	B	`conf`	Large Scale Evaluation of Deep Learning-based Explainable Solar Flare Forecasting Models with Attribution-based Proximity Analysis. IEEE Big Data Temitope Adeyeha, Chetraj Pandey, Berkay Aydin
2024	J	`jnl`	Large Scale Evaluation of Deep Learning-based Explainable Solar Flare Forecasting Models with Attribution-based Proximity Analysis. CoRR Temitope Adeyeha, Chetraj Pandey, Berkay Aydin
2024	B	`conf`	Towards Hybrid Embedded Feature Selection and Classification Approach with Slim-TSF. DaWaK Anli Ji, Chetraj Pandey, Berkay Aydin
2024	J	`jnl`	Towards Hybrid Embedded Feature Selection and Classification Approach with Slim-TSF. CoRR Anli Ji, Chetraj Pandey, Berkay Aydin
2023	—	`conf`	Active Region-Based Flare Forecasting with Sliding Window Multivariate Time Series Forest Classifiers. CogMI Anli Ji, Berkay Aydin
2023	C	`conf`	An Innovative Solar Flare Metadata Collection for Space Weather Analytics. ICMLA Jinsu Hong, Chetraj Pandey, Anli Ji, Berkay Aydin
2023	B	`conf`	Beyond Traditional Flare Forecasting: A Data-driven Labeling Approach for High-fidelity Predictions. DaWaK Jinsu Hong, Anli Ji, Chetraj Pandey, Berkay Aydin
2023	—	`conf`	Enhancing Solar Flare Prediction with Innovative Data-Driven Labels. CogMI Jinsu Hong, Anli Ji, Chetraj Pandey, Berkay Aydin
2023	B	`conf`	Explainable Deep Learning-Based Solar Flare Prediction with Post Hoc Attention for Operational Forecasting. DS Chetraj Pandey, Rafal A. Angryk, Manolis K. Georgoulis, Berkay Aydin
2023	J	`jnl`	Explainable Deep Learning-based Solar Flare Prediction with post hoc Attention for Operational Forecasting. CoRR Chetraj Pandey, Rafal A. Angryk, Manolis K. Georgoulis, Berkay Aydin
2023	—	`conf`	Explaining Full-Disk Deep Learning Model for Solar Flare Prediction Using Attribution Methods. ECML/PKDD (7) Chetraj Pandey, Rafal A. Angryk, Berkay Aydin
2023	J	`jnl`	Explaining Full-disk Deep Learning Model for Solar Flare Prediction using Attribution Methods. CoRR Chetraj Pandey, Rafal A. Angryk, Berkay Aydin
2023	B	`conf`	Exploring Deep Learning for Full-disk Solar Flare Prediction with Empirical Insights from Guided Grad-CAM Explanations. DSAA Chetraj Pandey, Anli Ji, Trisha Nandakumar, Rafal A. Angryk, Berkay Aydin
2023	J	`jnl`	Exploring Deep Learning for Full-disk Solar Flare Prediction with Empirical Insights from Guided Grad-CAM Explanations. CoRR Chetraj Pandey, Anli Ji, Trisha Nandakumar, Rafal A. Angryk, Berkay Aydin
2023	B	`conf`	Interpretable Solar Flare Prediction with Sliding Window Multivariate Time Series Forests. IEEE Big Data Anli Ji, Berkay Aydin
2023	—	`conf`	Towards Interpretable Solar Flare Prediction with Attention-based Deep Neural Networks. AIKE Chetraj Pandey, Anli Ji, Rafal A. Angryk, Berkay Aydin
2023	J	`jnl`	Towards Interpretable Solar Flare Prediction with Attention-based Deep Neural Networks. CoRR Chetraj Pandey, Anli Ji, Rafal A. Angryk, Berkay Aydin
2023	C	`conf`	Unveiling the Potential of Deep Learning Models for Solar Flare Prediction in Near-Limb Regions. ICMLA Chetraj Pandey, Rafal A. Angryk, Berkay Aydin
2023	J	`jnl`	Unveiling the Potential of Deep Learning Models for Solar Flare Prediction in Near-Limb Regions. CoRR Chetraj Pandey, Rafal A. Angryk, Berkay Aydin
2022	B	`conf`	Solar Flare Forecasting with Deep Learning-based Time Series Classifiers. ICPR Anli Ji, Junzhi Wen, Rafal A. Angryk, Berkay Aydin
2022	J	`jnl`	Towards Coupling Full-disk and Active Region-based Flare Prediction for Operational Space Weather Forecasting. CoRR Chetraj Pandey, Anli Ji, Rafal A. Angryk, Manolis K. Georgoulis, Berkay Aydin
2021	—	`conf`	A Modular Approach to Building Solar Energetic Particle Event Forecasting Systems. CogMI Anli Ji, Akhil Arya, Dustin Kempton, Rafal A. Angryk, Manolis K. Georgoulis, Berkay Aydin
2021	J	`jnl`	All-Clear Flare Prediction Using Interval-based Time Series Classifiers. CoRR Anli Ji, Berkay Aydin, Manolis K. Georgoulis, Rafal A. Angryk
2021	—	`conf`	Deep Neural Networks Based Solar Flare Prediction Using Compressed Full-disk Line-of-sight Magnetograms. SIMBig Chetraj Pandey, Rafal A. Angryk, Berkay Aydin
2021	J	`jnl`	How to Train Your Flare Prediction Model: Revisiting Robust Sampling of Rare Events. CoRR Azim Ahmadzadeh, Berkay Aydin, Manolis K. Georgoulis, Dustin J. Kempton, Sushant S. Mahajan, Rafal A. Angryk
2021	—	`conf`	Solar Flare Forecasting with Deep Neural Networks using Compressed Full-disk HMI Magnetograms. IEEE BigData Chetraj Pandey, Rafal A. Angryk, Berkay Aydin
2021	J	`jnl`	Spatiotemporal event sequence discovery without thresholds. GeoInformatica Berkay Aydin, Soukaina Filali Boubrahimi, Ahmet Küçük, Bita Nezamdoust, Rafal A. Angryk
2020	—	`conf`	A Framework for Detecting Polarity Inversion Lines from Longitudinal Magnetograms. IEEE BigData Xumin Cai, Berkay Aydin, Anli Ji, Manolis K. Georgoulis, Rafal A. Angryk
2020	B	`conf`	A Framework for Local Outlier Detection from Spatio-Temporal Trajectory Datasets. ICPR Xumin Cai, Berkay Aydin, Anli Ji, Rafal A. Angryk
2020	—	`conf`	All-Clear Flare Prediction Using Interval-based Time Series Classifiers. IEEE BigData Anli Ji, Berkay Aydin, Manolis K. Georgoulis, Rafal A. Angryk
2020	—	`conf`	Deep Neural Network-based Active Region Magnetogram Patch Super Resolution. IEEE BigData Mohammed Shoebuddin Habeeb, Berkay Aydin, Azim Ahmadzadeh, Manolis K. Georgoulis, Rafal A. Angryk
2020	—	`conf`	Local Outlier Detection for Multi-type Spatio-temporal Trajectories. IEEE BigData Xumin Cai, Berkay Aydin, Saurabh Maydeo, Anli Ji, Rafal A. Angryk
2020	J	`jnl`	MVTS-Data Toolkit: A Python package for preprocessing multivariate time series data. SoftwareX Azim Ahmadzadeh, Kankana Sinha, Berkay Aydin, Rafal A. Angryk
2020	J	`jnl`	Machine Learning in Heliophysics and Space Weather Forecasting: A White Paper of Findings and Recommendations. CoRR 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 G. 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
2020	—	`conf`	Solar Line-of-Sight Magnetograms Super-Resolution Using Deep Neural Networks. IEEE BigData Mohammed Shoebuddin Habeeb, Berkay Aydin, Azim Ahmadzadeh, Manolis K. Georgoulis, Rafal A. Angryk
2019	—	`conf`	An Application of Spatio-temporal Co-occurrence Analyses for Integrating Solar Active Region Data from Multiple Reporting Modules. IEEE BigData Xumin Cai, Berkay Aydin, Manolis K. Georgoulis, Rafal A. Angryk
2019	—	`conf`	Challenges with Extreme Class-Imbalance and Temporal Coherence: A Study on Solar Flare Data. IEEE BigData Azim Ahmadzadeh, Maxwell Hostetter, Berkay Aydin, Manolis K. Georgoulis, Dustin J. Kempton, Sushant S. Mahajan, Rafal A. Angryk
2019	J	`jnl`	Challenges with Extreme Class-Imbalance and Temporal Coherence: A Study on Solar Flare Data. CoRR Azim Ahmadzadeh, Maxwell Hostetter, Berkay Aydin, Manolis K. Georgoulis, Dustin J. Kempton, Sushant S. Mahajan, Rafal A. Angryk
2019	C	`conf`	Rare-Event Time Series Prediction: A Case Study of Solar Flare Forecasting. ICMLA Azim Ahmadzadeh, Berkay Aydin, Dustin J. Kempton, Maxwell Hostetter, Rafal A. Angryk, Manolis K. Georgoulis, Sushant S. Mahajan
2019	—	`conf`	Understanding the Impact of Statistical Time Series Features for Flare Prediction Analysis. IEEE BigData Maxwell Hostetter, Azim Ahmadzadeh, Berkay Aydin, Manolis K. Georgoulis, Dustin J. Kempton, Rafal A. Angryk
2018	—	`conf`	Biomarker Detection from fMRI-Based Complete Functional Connectivity Networks. AIKE Shah Muhammad Hamdi, Berkay Aydin, Soukaina Filali Boubrahimi, Rafal A. Angryk, Lisa Crystal Krishnamurthy, Robin D. Morris
2018	—	`conf`	Neuro-Ensemble. AIKE Soukaina Filali Boubrahimi, Ruizhe Ma, Berkay Aydin, Rafal A. Angryk
2018	B	`conf`	Scalable kNN Search Approximation for Time Series Data. ICPR Soukaina Filali Boubrahimi, Ruizhe Ma, Berkay Aydin, Shah Muhammad Hamdi, Rafal A. Angryk
2017	B	`conf`	An Integrated Solar Database (ISD) with Extended Spatiotemporal Querying Capabilities. SSTD Ahmet Küçük, Berkay Aydin, Soukaina Filali Boubrahimi, Dustin Kempton, Rafal A. Angryk
2017	—	`conf`	Cultivating Evolving Region Trajectory Datasets. ICDM Workshops Sajitha Naduvil-Vadukootu, Berkay Aydin, Michael A. Schuh, Rafal A. Angryk
2017	J	`jnl`	Measuring the Significance of Spatiotemporal Co-Occurrences. ACM Trans. Spatial Algorithms Syst. Berkay Aydin, Ahmet Küçük, Rafal A. Angryk, Petrus C. Martens
2017	—	`conf`	Multi-wavelength solar event detection using faster R-CNN. IEEE BigData Ahmet Küçük, Berkay Aydin, Rafal A. Angryk
2017	—	`conf`	On the prediction of >100 MeV solar energetic particle events using GOES satellite data. IEEE BigData Soukaina Filali Boubrahimi, Berkay Aydin, Petrus C. Martens, Rafal A. Angryk
2017	—	`conf`	Parallel computation of magnetic field parameters from HMI active region patches. IEEE BigData Sunitha Basodi, Berkay Aydin, Rafal A. Angryk
2017	—	`conf`	Top-(R%, K) Spatiotemporal Event Sequence Mining. ICDM Workshops Berkay Aydin, Ahmet Küçük, Soukaina Filali Boubrahimi, Rafal A. Angryk
2016	—	`conf`	A Graph-Based Approach to Spatiotemporal Event Sequence Mining. ICDM Workshops Berkay Aydin, Rafal A. Angryk
2016	—	`conf`	A Pattern Growth-Based Approach for Mining Spatiotemporal Co-occurrence Patterns. ICDM Workshops Shah Muhammad Hamdi, Berkay Aydin, Rafal A. Angryk
2016	B	`conf`	Automatic personality prediction from audiovisual data using random forest regression. ICPR Berkay Aydin, Ahmet Alp Kindiroglu, Oya Aran, Lale Akarun
2016	—	`conf`	Discovering spatiotemporal event sequences. MobiGIS Berkay Aydin, Rafal A. Angryk
2016	—	`conf`	Filling the Gaps in Solar Big Data: Interpolation of Solar Filament Event Instances. BDCloud-SocialCom-SustainCom Soukaina Filali Boubrahimi, Berkay Aydin, Dustin Kempton, Sushant S. Mahajan, Rafal A. Angryk
2016	—	`conf`	Indexing spatiotemporal relations in solar event datasets. IEEE BigData Berkay Aydin, Ahmet Küçük, Rafal A. Angryk
2016	J	`jnl`	Mining At Most Top-K% Spatiotemporal Co-occurrence Patterns in Datasets with Extended Spatial Representations. ACM Trans. Spatial Algorithms Syst. Karthik Ganesan Pillai, Rafal A. Angryk, Juan M. Banda, Dustin Kempton, Berkay Aydin, Petrus C. Martens
2016	J	`jnl`	Mining spatiotemporal co-occurrence patterns in non-relational databases. GeoInformatica Berkay Aydin, Vijay Akkineni, Rafal A. Angryk
2016	—	`conf`	Pg-Trajectory: A PostgreSQL/PostGIS Based Data Model for Spatiotemporal Trajectories. BDCloud-SocialCom-SustainCom Ahmet Küçük, Shah Muhammad Hamdi, Berkay Aydin, Michael A. Schuh, Rafal A. Angryk
2016	—	`conf`	Predictive Spatio-Temporal Query Processor on Resilient Distributed Datasets. BDCloud-SocialCom-SustainCom Vijay Akkineni, Berkay Aydin, Sajitha Naduvil-Vadukootu, Rafal A. Angryk
2016	—	`conf`	SOLEV: a video generation framework for solar events from mixed data sources (demo paper). SIGSPATIAL/GIS Soukaina Filali Boubrahimi, Berkay Aydin, Dustin Kempton, Rafal A. Angryk
2016	—	`conf`	Spatio-temporal interpolation methods for solar events metadata. IEEE BigData Soukaina Filali Boubrahimi, Berkay Aydin, Dustin Kempton, Rafal A. Angryk
2016	B	`conf`	Spatiotemporal event sequence mining from evolving regions. ICPR Berkay Aydin, Rafal A. Angryk
2015	J	`jnl`	Mining spatiotemporal co-occurrence patterns in solar datasets. Astron. Comput. Berkay Aydin, Dustin Kempton, Vijay Akkineni, Rafal A. Angryk, Karthik Ganesan Pillai
2015	—	`conf`	Spatiotemporal Frequent Pattern Mining on Solar Data: Current Algorithms and Future Directions. ICDM Workshops Berkay Aydin, Rafal A. Angryk
2015	—	`conf`	Time-efficient significance measure for discovering spatiotemporal co-occurrences from data with unbalanced characteristics. SIGSPATIAL/GIS Berkay Aydin, Vijay Akkineni, Rafal A. Angryk
2014	Misc	`conf`	ERMO-DG: Evolving Region Moving Object Dataset Generator. FLAIRS Berkay Aydin, Rafal A. Angryk, Karthik Ganesan Pillai
2014	—	`conf`	Spatiotemporal indexing techniques for efficiently mining spatiotemporal co-occurrence patterns. IEEE BigData Berkay Aydin, Dustin Kempton, Vijay Akkineni, Shaktidhar Reddy Gopavaram, Karthik Ganesan Pillai, Rafal A. Angryk
2013	—	`conf`	A filter-and-refine approach to mine spatiotemporal co-occurrences. SIGSPATIAL/GIS Karthik Ganesan Pillai, Rafal A. Angryk, Berkay Aydin