Yasser Abduallah
Orcid: 0000-0003-0792-2270
According to our database1,
Yasser Abduallah authored at least 65 papers
between 2017 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2026
CoRR, April, 2026
Predicting Associations between Solar Flares and Coronal Mass Ejections Using SDO/HMI Magnetograms and a Hybrid Neural Network.
CoRR, April, 2026
2025
FlareDB: A Database of Significant Flares in Solar Cycles 24 and 25 with SDO/HMI and SDO/AIA Observations - Quick-look Movies.
Dataset, August, 2025
Improving the Temporal Resolution of SOHO/MDI Magnetograms of Solar Active Regions Using a Deep Generative Model.
CoRR, March, 2025
Prediction of Halo Coronal Mass Ejections Using SDO/HMI Vector Magnetic Data Products and a Transformer Model.
CoRR, March, 2025
CoRR, January, 2025
2024
A transformer-based framework for predicting geomagnetic indices with uncertainty quantification.
J. Intell. Inf. Syst., August, 2024
Prediction of the SYM-H Index Using a Bayesian Deep Learning Method with Uncertainty Quantification.
Dataset, May, 2024
Prediction of the SYM-H Index Using a Bayesian Deep Learning Method with Uncertainty Quantification.
Dataset, May, 2024
Prediction of the SYM-H Index Using a Bayesian Deep Learning Method with Uncertainty Quantification.
Dataset, May, 2024
Prediction of the SYM-H Index Using a Bayesian Deep Learning Method with Uncertainty Quantification.
Dataset, May, 2024
Prediction of the SYM-H Index Using a Bayesian Deep Learning Method with Uncertainty Quantification.
Dataset, May, 2024
Prediction of the SYM-H Index Using a Bayesian Deep Learning Method with Uncertainty Quantification.
Dataset, January, 2024
Super-Resolution of SOHO/MDI Magnetograms of Solar Active Regions Using SDO/HMI Data and an Attention-Aided Convolutional Neural Network.
CoRR, 2024
Prediction of the SYM-H Index Using a Bayesian Deep Learning Method with Uncertainty Quantification.
CoRR, 2024
Proceedings of the 36th IEEE International Conference on Tools with Artificial Intelligence, 2024
Proceedings of the Thirty-Seventh International Florida Artificial Intelligence Research Society Conference, 2024
2023
Dataset, November, 2023
Dataset, November, 2023
Dataset, November, 2023
Dataset, November, 2023
Dataset, November, 2023
Dataset, July, 2023
Estimating Coronal Mass Ejection Mass and Kinetic Energy by Fusion of Multiple Deep-learning Models.
CoRR, 2023
2022
Dataset, November, 2022
Dataset, November, 2022
Dataset, November, 2022
Dataset, November, 2022
Dataset, September, 2022
Dataset, September, 2022
Dataset, September, 2022
Dataset, June, 2022
Dataset, June, 2022
Dataset, June, 2022
Dataset, June, 2022
Dataset, June, 2022
Predicting Solar Energetic Particles Using SDO/HMI Vector Magnetic Data Products and a Bidirectional LSTM Network.
Dataset, June, 2022
Predicting Solar Energetic Particles Using SDO/HMI Vector Magnetic Data Products and a Bidirectional LSTM Network.
Dataset, June, 2022
Predicting Solar Energetic Particles Using SDO/HMI Vector Magnetic Data Products and a Bidirectional LSTM Network.
Dataset, June, 2022
Predicting Solar Energetic Particles Using SDO/HMI Vector Magnetic Data Products and a Bidirectional LSTM Network.
Dataset, June, 2022
Predicting Solar Energetic Particles Using SDO/HMI Vector Magnetic Data Products and a Bidirectional LSTM Network.
Dataset, June, 2022
Predicting Solar Energetic Particles Using SDO/HMI Vector Magnetic Data Products and a Bidirectional LSTM Network.
Dataset, June, 2022
Predicting Solar Energetic Particles Using SDO/HMI Vector Magnetic Data Products and a Bidirectional LSTM Network.
Dataset, June, 2022
A Deep Learning Approach to Generating Photospheric Vector Magnetograms of Solar Active Regions for SOHO/MDI Using SDO/HMI and BBSO Data.
CoRR, 2022
Predicting Solar Energetic Particles Using SDO/HMI Vector Magnetic Data Products and a Bidirectional LSTM Network.
CoRR, 2022
Proceedings of the Foundations of Intelligent Systems - 26th International Symposium, 2022
Proceedings of the Thirty-Fifth International Florida Artificial Intelligence Research Society Conference, 2022
2021
Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021
2020
2019
New algorithms for inferring gene regulatory networks from time-series expression data on Apache Spark.
Int. J. Big Data Intell., 2019
2017
MapReduce Algorithms for Inferring Gene Regulatory Networks from Time-Series Microarray Data Using an Information-Theoretic Approach.
CoRR, 2017
A Time-Delayed Information-Theoretic Approach to the Reverse Engineering of Gene Regulatory Networks Using Apache Spark.
Proceedings of the 15th IEEE Intl Conf on Dependable, 2017