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Yasser Abduallah
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Journal Articles
- 2019
- [j1]Yasser Abduallah
, Jason T. L. Wang:
New algorithms for inferring gene regulatory networks from time-series expression data on Apache Spark. Int. J. Big Data Intell. 6(3/4): 153-162 (2019)
Conference and Workshop Papers
- 2024
- [c5]Yasser Abduallah, Vinay Ram Gazula, Jason T. L. Wang:
An Interpretable Transformer Model for Operational Flare Forecasting. FLAIRS 2024 - 2022
- [c4]Yasser Abduallah, Jason T. L. Wang, Prianka Bose, Genwei Zhang, Firas Gerges, Haimin Wang:
Forecasting the Disturbance Storm Time Index with Bayesian Deep Learning. FLAIRS 2022 - [c3]Yasser Abduallah, Jason T. L. Wang, Chunhui Xu, Haimin Wang:
A Transformer-Based Framework for Geomagnetic Activity Prediction. ISMIS 2022: 325-335 - 2021
- [c2]Yasser Abduallah
, Jason T. L. Wang, Yucong Shen, Khalid A. Alobaid, Serena Criscuoli, Haimin Wang:
Reconstruction of Total Solar Irradiance by Deep Learning. FLAIRS 2021 - 2017
- [c1]Yasser Abduallah
, Jason T. L. Wang:
A Time-Delayed Information-Theoretic Approach to the Reverse Engineering of Gene Regulatory Networks Using Apache Spark. DASC/PiCom/DataCom/CyberSciTech 2017: 1106-1113
Informal and Other Publications
- 2024
- [i9]Yasser Abduallah, Khalid A. Alobaid, Jason T. L. Wang, Haimin Wang, Vania K. Jordanova, Vasyl Yurchyshyn, Huseyin Cavus, Ju Jing:
Prediction of the SYM-H Index Using a Bayesian Deep Learning Method with Uncertainty Quantification. CoRR abs/2402.17196 (2024) - [i8]Chunhui Xu, Jason T. L. Wang, Haimin Wang, Haodi Jiang, Qin Li, Yasser Abduallah, Yan Xu:
Super-Resolution of SOHO/MDI Magnetograms of Solar Active Regions Using SDO/HMI Data and an Attention-Aided Convolutional Neural Network. CoRR abs/2403.18302 (2024) - 2023
- [i7]Khalid A. Alobaid, Yasser Abduallah, Jason T. L. Wang, Haimin Wang, Shen Fan, Jialiang Li, Huseyin Cavus, Vasyl Yurchyshyn:
Estimating Coronal Mass Ejection Mass and Kinetic Energy by Fusion of Multiple Deep-learning Models. CoRR abs/2312.01691 (2023) - 2022
- [i6]Yasser Abduallah, Vania K. Jordanova, Hao Liu, Qin Li, Jason T. L. Wang, Haimin Wang:
Predicting Solar Energetic Particles Using SDO/HMI Vector Magnetic Data Products and a Bidirectional LSTM Network. CoRR abs/2203.14393 (2022) - [i5]Yasser Abduallah, Jason T. L. Wang, Prianka Bose, Genwei Zhang, Firas Gerges, Haimin Wang:
A Deep Learning Approach to Dst Index Prediction. CoRR abs/2205.02447 (2022) - [i4]Haodi Jiang, Qin Li, Zhihang Hu, Nian Liu, Yasser Abduallah, Ju Jing, Genwei Zhang, Yan Xu, Wynne Hsu, Jason T. L. Wang, Haimin Wang:
A Deep Learning Approach to Generating Photospheric Vector Magnetograms of Solar Active Regions for SOHO/MDI Using SDO/HMI and BBSO Data. CoRR abs/2211.02278 (2022) - 2021
- [i3]Yasser Abduallah, Jason T. L. Wang, Yucong Shen, Khalid A. Alobaid, Serena Criscuoli, Haimin Wang:
Deep Learning Based Reconstruction of Total Solar Irradiance. CoRR abs/2107.11042 (2021) - 2020
- [i2]Yasser Abduallah, Jason T. L. Wang, Yang Nie, Chang Liu, Haimin Wang:
DeepSun: Machine-Learning-as-a-Service for Solar Flare Prediction. CoRR abs/2009.04238 (2020) - 2017
- [i1]Yasser Abduallah, Turki Turki, Kevin Byron, Zongxuan Du, Miguel Cervantes-Cervantes, Jason T. L. Wang:
MapReduce Algorithms for Inferring Gene Regulatory Networks from Time-Series Microarray Data Using an Information-Theoretic Approach. CoRR abs/1704.06548 (2017)
Coauthor Index
aka: Jason T. L. Wang
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