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ORCIDBerkay Aydin
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2020 – today
- 2024
[c52]Anli Ji, Chetraj Pandey, Berkay Aydin:
Towards Hybrid Embedded Feature Selection and Classification Approach with Slim-TSF. DaWaK 2024: 91-105- [c51]Chetraj Pandey, Anli Ji, Jinsu Hong, Rafal A. Angryk, Berkay Aydin:
Embedding Ordinality to Binary Loss Function for Improving Solar Flare Forecasting. DSAA 2024: 1-10 - [c50]Chetraj Pandey
, Temitope Adeyeha, Jinsu Hong, Rafal A. Angryk, Berkay Aydin:
Advancing Solar Flare Prediction Using Deep Learning with Active Region Patches. ECML/PKDD (10) 2024: 50-65 - [i14]Anli Ji, Berkay Aydin:
Active Region-based Flare Forecasting with Sliding Window Multivariate Time Series Forest Classifiers. CoRR abs/2402.03474 (2024) - [i13]Chetraj Pandey, Temitope Adeyeha, Jinsu Hong, Rafal A. Angryk, Berkay Aydin:
Advancing Solar Flare Prediction using Deep Learning with Active Region Patches. CoRR abs/2406.11054 (2024) - [i12]Chetraj Pandey, Anli Ji, Jinsu Hong, Rafal A. Angryk, Berkay Aydin:
Embedding Ordinality to Binary Loss Function for Improving Solar Flare Forecasting. CoRR abs/2408.11768 (2024) - [i11]Anli Ji, Chetraj Pandey, Berkay Aydin:
Towards Hybrid Embedded Feature Selection and Classification Approach with Slim-TSF. CoRR abs/2409.04542 (2024) - 2023
- [c49]Chetraj Pandey, Anli Ji, Rafal A. Angryk, Berkay Aydin:
Towards Interpretable Solar Flare Prediction with Attention-based Deep Neural Networks. AIKE 2023: 83-90 - [c48]Anli Ji, Berkay Aydin:
Interpretable Solar Flare Prediction with Sliding Window Multivariate Time Series Forests. IEEE Big Data 2023: 1519-1524 - [c47]Jinsu Hong, Anli Ji, Chetraj Pandey, Berkay Aydin:
Enhancing Solar Flare Prediction with Innovative Data-Driven Labels. CogMI 2023: 190-195 - [c46]Anli Ji, Berkay Aydin:
Active Region-Based Flare Forecasting with Sliding Window Multivariate Time Series Forest Classifiers. CogMI 2023: 196-203 - [c45]Jinsu Hong, Anli Ji, Chetraj Pandey, Berkay Aydin:
Beyond Traditional Flare Forecasting: A Data-driven Labeling Approach for High-fidelity Predictions. DaWaK 2023: 380-385 - [c44]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: 567-581 - [c43]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: 1-10 - [c42]Jinsu Hong, Chetraj Pandey, Anli Ji, Berkay Aydin:
An Innovative Solar Flare Metadata Collection for Space Weather Analytics. ICMLA 2023: 408-413 - [c41]Chetraj Pandey, Rafal A. Angryk, Berkay Aydin:
Unveiling the Potential of Deep Learning Models for Solar Flare Prediction in Near-Limb Regions. ICMLA 2023: 703-708 - [c40]Chetraj Pandey, Rafal A. Angryk, Berkay Aydin:
Explaining Full-Disk Deep Learning Model for Solar Flare Prediction Using Attribution Methods. ECML/PKDD (7) 2023: 72-89 - [i10]Chetraj Pandey, Rafal A. Angryk, Berkay Aydin:
Explaining Full-disk Deep Learning Model for Solar Flare Prediction using Attribution Methods. CoRR abs/2307.15878 (2023) - [i9]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 abs/2308.02682 (2023) - [i8]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 abs/2308.15712 (2023) - [i7]Chetraj Pandey, Anli Ji, Rafal A. Angryk, Berkay Aydin:
Towards Interpretable Solar Flare Prediction with Attention-based Deep Neural Networks. CoRR abs/2309.04558 (2023) - [i6]Chetraj Pandey, Rafal A. Angryk, Berkay Aydin:
Unveiling the Potential of Deep Learning Models for Solar Flare Prediction in Near-Limb Regions. CoRR abs/2309.14483 (2023) - 2022
- [c39]Anli Ji, Junzhi Wen, Rafal A. Angryk, Berkay Aydin:
Solar Flare Forecasting with Deep Learning-based Time Series Classifiers. ICPR 2022: 2907-2913 - [d1]Anli Ji, Nigar Khasayeva, Xumin Cai, Manolis K. Georgoulis, Petrus C. Martens, Rafal A. Angryk, Berkay Aydin:
Magnetic Polarity Inversion Line Detection and Analysis Tool. Zenodo, 2022
- [i5]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 abs/2209.07406 (2022) - 2021
- [j6]Berkay Aydin, Soukaina Filali Boubrahimi, Ahmet Küçük, Bita Nezamdoust, Rafal A. Angryk:
Spatiotemporal event sequence discovery without thresholds. GeoInformatica 25(1): 149-177 (2021) - [c38]Chetraj Pandey, Rafal A. Angryk, Berkay Aydin:
Solar Flare Forecasting with Deep Neural Networks using Compressed Full-disk HMI Magnetograms. IEEE BigData 2021: 1725-1730 - [c37]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: 106-115 - [c36]Chetraj Pandey, Rafal A. Angryk, Berkay Aydin:
Deep Neural Networks Based Solar Flare Prediction Using Compressed Full-disk Line-of-sight Magnetograms. SIMBig 2021: 380-396 - [i4]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 abs/2103.07542 (2021) - [i3]Anli Ji, Berkay Aydin, Manolis K. Georgoulis, Rafal A. Angryk:
All-Clear Flare Prediction Using Interval-based Time Series Classifiers. CoRR abs/2105.01202 (2021) - 2020
- [j5]Azim Ahmadzadeh, Kankana Sinha, Berkay Aydin, Rafal A. Angryk:
MVTS-Data Toolkit: A Python package for preprocessing multivariate time series data. SoftwareX 12: 100518 (2020) - [c35]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: 4175-4183 - [c34]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: 4200-4207 - [c33]Anli Ji, Berkay Aydin, Manolis K. Georgoulis, Rafal A. Angryk:
All-Clear Flare Prediction Using Interval-based Time Series Classifiers. IEEE BigData 2020: 4218-4225 - [c32]Xumin Cai, Berkay Aydin, Saurabh Maydeo, Anli Ji, Rafal A. Angryk:
Local Outlier Detection for Multi-type Spatio-temporal Trajectories. IEEE BigData 2020: 4509-4518 - [c31]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: 4586-4593 - [c30]Xumin Cai, Berkay Aydin, Anli Ji, Rafal A. Angryk:
A Framework for Local Outlier Detection from Spatio-Temporal Trajectory Datasets. ICPR 2020: 5682-5689 - [i2]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:
Machine Learning in Heliophysics and Space Weather Forecasting: A White Paper of Findings and Recommendations. CoRR abs/2006.12224 (2020)
2010 – 2019
- 2019
- [c29]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: 1423-1431 - [c28]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: 4950-4959 - [c27]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: 4960-4966 - [c26]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: 1814-1820 - [i1]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 abs/1911.09061 (2019) - 2018
- [c25]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: 17-24 - [c24]Soukaina Filali Boubrahimi, Ruizhe Ma, Berkay Aydin, Rafal A. Angryk:
Neuro-Ensemble. AIKE 2018: 54-61 - [c23]Soukaina Filali Boubrahimi, Ruizhe Ma, Berkay Aydin, Shah Muhammad Hamdi, Rafal A. Angryk:
Scalable kNN Search Approximation for Time Series Data. ICPR 2018: 970-975 - 2017
- [j4]Berkay Aydin, Ahmet Küçük, Rafal A. Angryk, Petrus C. Martens:
Measuring the Significance of Spatiotemporal Co-Occurrences. ACM Trans. Spatial Algorithms Syst. 3(3): 9:1-9:35 (2017) - [c22]Sunitha Basodi, Berkay Aydin, Rafal A. Angryk:
Parallel computation of magnetic field parameters from HMI active region patches. IEEE BigData 2017: 2527-2532 - [c21]Soukaina Filali Boubrahimi, Berkay Aydin, Petrus C. Martens, Rafal A. Angryk:
On the prediction of >100 MeV solar energetic particle events using GOES satellite data. IEEE BigData 2017: 2533-2542 - [c20]Ahmet Küçük, Berkay Aydin, Rafal A. Angryk:
Multi-wavelength solar event detection using faster R-CNN. IEEE BigData 2017: 2552-2558 - [c19]Berkay Aydin, Ahmet Küçük, Soukaina Filali Boubrahimi, Rafal A. Angryk:
Top-(R%, K) Spatiotemporal Event Sequence Mining. ICDM Workshops 2017: 250-257 - [c18]Sajitha Naduvil-Vadukootu, Berkay Aydin, Michael A. Schuh, Rafal A. Angryk:
Cultivating Evolving Region Trajectory Datasets. ICDM Workshops 2017: 274-279 - [c17]Ahmet Küçük, Berkay Aydin, Soukaina Filali Boubrahimi, Dustin Kempton, Rafal A. Angryk:
An Integrated Solar Database (ISD) with Extended Spatiotemporal Querying Capabilities. SSTD 2017: 405-410 - 2016
- [j3]Berkay Aydin, Vijay Akkineni, Rafal A. Angryk:
Mining spatiotemporal co-occurrence patterns in non-relational databases. GeoInformatica 20(4): 801-828 (2016) - [j2]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): 10:1-10:27 (2016) - [c16]Vijay Akkineni, Berkay Aydin, Sajitha Naduvil-Vadukootu, Rafal A. Angryk:
Predictive Spatio-Temporal Query Processor on Resilient Distributed Datasets. BDCloud-SocialCom-SustainCom 2016: 50-58 - [c15]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: 81-88 - [c14]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: 97-104 - [c13]Berkay Aydin, Ahmet Küçük, Rafal A. Angryk:
Indexing spatiotemporal relations in solar event datasets. IEEE BigData 2016: 3140-3148 - [c12]Soukaina Filali Boubrahimi, Berkay Aydin, Dustin Kempton, Rafal A. Angryk:
Spatio-temporal interpolation methods for solar events metadata. IEEE BigData 2016: 3149-3157 - [c11]Berkay Aydin, Rafal A. Angryk:
Discovering spatiotemporal event sequences. MobiGIS 2016: 46-55 - [c10]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: 90:1-90:4 - [c9]Berkay Aydin, Rafal A. Angryk:
A Graph-Based Approach to Spatiotemporal Event Sequence Mining. ICDM Workshops 2016: 1090-1097 - [c8]Shah Muhammad Hamdi, Berkay Aydin, Rafal A. Angryk:
A Pattern Growth-Based Approach for Mining Spatiotemporal Co-occurrence Patterns. ICDM Workshops 2016: 1125-1132 - [c7]Berkay Aydin, Ahmet Alp Kindiroglu, Oya Aran, Lale Akarun:
Automatic personality prediction from audiovisual data using random forest regression. ICPR 2016: 37-42 - [c6]Berkay Aydin, Rafal A. Angryk:
Spatiotemporal event sequence mining from evolving regions. ICPR 2016: 4172-4177 - 2015
- [j1]Berkay Aydin, Dustin Kempton, Vijay Akkineni, Rafal A. Angryk, Karthik Ganesan Pillai:
Mining spatiotemporal co-occurrence patterns in solar datasets. Astron. Comput. 13: 136-144 (2015) - [c5]Berkay Aydin, Vijay Akkineni, Rafal A. Angryk:
Time-efficient significance measure for discovering spatiotemporal co-occurrences from data with unbalanced characteristics. SIGSPATIAL/GIS 2015: 80:1-80:4 - [c4]Berkay Aydin, Rafal A. Angryk:
Spatiotemporal Frequent Pattern Mining on Solar Data: Current Algorithms and Future Directions. ICDM Workshops 2015: 575-581 - 2014
- [c3]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: 1-10 - [c2]Berkay Aydin, Rafal A. Angryk, Karthik Ganesan Pillai:
ERMO-DG: Evolving Region Moving Object Dataset Generator. FLAIRS 2014 - 2013
- [c1]Karthik Ganesan Pillai, Rafal A. Angryk, Berkay Aydin:
A filter-and-refine approach to mine spatiotemporal co-occurrences. SIGSPATIAL/GIS 2013: 104-113
Coauthor Index
[c51] [c50] [i13] [i12] [c49] [c44] [c43] [c41] [c40] [i10] [i9] [i8] [i7] [i6] [c39] [d1] [i5] [j6] [c38] [c37] [c36] [i4] [i3] [j5] [c35] [c34] [c33] [c32] [c31] [c30] [i2] [c29] [c28] [c27] [c26] [i1] [c25] [c24] [c23] [j4] [c22] [c21] [c20] [c19] [c18] [c17] [j3] [j2] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c6] [j1] [c5] [c4] [c3] [c2] [c1]
Dustin Kempton
aka: Dustin J. Kempton
aka: Dustin J. Kempton
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last updated on 2024-11-07 21:35 CET by the dblp team
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