Shah Muhammad Hamdi
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    • CAIG Synthetic Data Generation for Solar Energetic Particle Events by Multimodal Augmentation
    • SHINE Understanding the Relationships of Photospheric Vector Magnetic Field Parameters in Solar Flare Occurrences using Graph-based Machine Learning Models
    • CRII OAC Cyberinfrastructure for Machine Learning on Multivariate Time Series Data and Functional Networks
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    • An End-to-end Ensemble Machine Learning Approach for Predicting High-impact Solar Energetic Particle Events Using Multimodal Data
    • Predicting Solar Energetic Particle Events with Time Series Shapelets
    • AVATAR: Adversarial Autoencoders with Autoregressive Refinement for Time Series Generation
    • CACTUS: Cross-Aligned Counterfactual Explanation for Time Series Classification
    • Diverse and Plausible Counterfactual Explanations for Time Series via Latent Space Optimization
    • Info-CELS: Informative Saliency Map-Guided Counterfactual Explanation for Time Series Classification
    • Pruning Strategies for Backdoor Defense in LLMs
    • Solar Flare Prediction Using Multivariate Time Series of Photospheric Magnetic Field Parameters: A Comparative Analysis of Vector, Time Series, and Graph Data Representations
    • Spatio-Temporal Graph Neural Networks for Streamflow Prediction in the Upper Colorado Basin
    • TIMED: Adversarial and Autoregressive Refinement of Diffusion-Based Time Series Generation
    • Impacts of Data Preprocessing and Sampling Techniques on Solar Flare Prediction from Multivariate Time Series Data of Photospheric Magnetic Field Parameters
    • Identifying Flare-indicative Photospheric Magnetic Field Parameters from Multivariate Time-series Data of Solar Active Regions
    • Improving Solar Energetic Particle Event Prediction through Multivariate Time Series Data Augmentation
    • ACTS: Adaptive Counterfactual Explanations for Time Series Data Using Barycenters
    • An Analysis of Mpox Communication on Reddit vs Twitter During the 2022 Mpox Outbreak
    • ChronoGAN: Supervised and Embedded Generative Adversarial Networks for Time Series Generation
    • Classification of Major Solar Flares from Extremely Imbalanced Multivariate Time Series Data Using Minimally Random Convolutional Kernel Transform
    • Combining Empirical and Physics-Based Models for Solar Wind Prediction
    • Contrastive Representation Learning for Predicting Solar Flares from Extremely Imbalanced Multivariate Time Series Data
    • Denoising Optimization-Based Counterfactual Explanations for Time Series Classification
    • Discord-based counterfactual explanations for time series classification
    • Enhancing Monthly Streamflow Prediction Using Meteorological Factors and Machine Learning Models in the Upper Colorado River Basin
    • Enhancing Multivariate Time Series-Based Solar Flare Prediction with Multifaceted Preprocessing and Contrastive Learning
    • EXCON: Extreme Instance-based Contrastive Representation Learning of Severely Imbalanced Multivariate Time Series for Solar Flare Prediction
    • FAT-LSTM: A Multimodal Data Fusion Model with Gating and Attention-Based LSTM for Time-Series Classification
    • Predictive Insights into LGBTQ+ Minority Stress: A Transductive Exploration of Social Media Discourse
    • Reliable Time Series Counterfactual Explanations Guided by ShapeDBA
    • SeriesGAN: Time Series Generation via Adversarial and Autoregressive Learning
    • Spatiotemporal Data Augmentation of MODIS-Landsat Water Bodies Using Adversarial Networks
    • The LGBTQ+ Minority Stress on Social Media (MiSSoM) Dataset: A Labeled Dataset for Natural Language Processing and Machine Learning
    • Time-Series Feature Selection for Solar Flare Forecasting
    • Toward Enhanced Prediction of High-Impact Solar Energetic Particle Events Using Multimodal Time Series Data Fusion Models
    • Transformer Model for Multivariate Time Series Classification: A Case Study of Solar Flare Prediction
    • Adversarial Attack Driven Data Augmentation for Time Series Classification
    • Attention-Based Counterfactual Explanation for Multivariate Time Series
    • CELS: Counterfactual Explanations for Time Series Data via Learned Saliency Maps
    • End-to-End Attention/Transformer Model for Solar Flare Prediction from Multivariate Time Series Data
    • METFORC: Classification with Meta-Learning and Multimodal Stratified Time Series Forest
    • ML-Based Streamflow Prediction in the Upper Colorado River Basin Using Climate Variables Time Series Data
    • Models of Gender Dysphoria Using Social Media Data for Use in Technology-Delivered Interventions: Machine Learning and Natural Language Processing Validation Study
    • Motif Alignment for Time Series Data Augmentation
    • Multiloss-Based Optimization for Time Series Data Augmentation
    • Predicting Linguistically Sophisticated Social Determinants of Health Disparities with Neural Networks: The Case of LGBTQ+ Minority Stress
    • Shapelet-Preserving Bootstrapping For Time Series Data Augmentation
    • Classifying Minority Stress Disclosure on Social Media with Bidirectional Long Short-Term Memory
    • Fast Counterfactual Explanation for Solar Flare Prediction
    • On the Mining of Time Series Data Counterfactual Explanations using Barycenters
    • SG-CF: Shapelet-Guided Counterfactual Explanation for Time Series Classification
    • Shapelet-based Temporal Association Rule Mining for Multivariate Time Series Classification
    • Temporal Rule-Based Counterfactual Explanations for Multivariate Time Series
    • Sequence Model-based End-to-End Solar Flare Classification from Multivariate Time Series Data
    • Shapelets-based Data Augmentation for Time Series Classification
    • Time Series Data Augmentation using Time-Warped Auto-Encoders
    • Multivariate time series dataset for space weather data analytics
    • On the Mining of the Minimal Set of Time Series Data Shapelets
    • Identification of discriminative subnetwork from fmri-based complete functional connectivity networks
    • Interpretable Feature Learning of Graphs using Tensor Decomposition
    • Tensor Decomposition-based Node Embedding
    • Biomarker Detection from fMRI-Based Complete Functional Connectivity Networks
    • Scalable kNN Search Approximation for Time Series Data
    • Tensor Decomposition for Neurodevelopmental Disorder Prediction
    • Pg-Trajectory: A PostgreSQL/PostGIS Based Data Model for Spatiotemporal Trajectories
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An End-to-end Ensemble Machine Learning Approach for Predicting High-impact Solar Energetic Particle Events Using Multimodal Data

Mar 1, 2025·
Pouya Hosseinzadeh
,
Soukaina Filali Boubrahimi
,
Shah Muhammad Hamdi
· 0 min read
URL DOI
Type
Journal article
Publication
The Astrophysical Journal Supplement Series
Last updated on Mar 1, 2025
Predicting Solar Energetic Particle Events with Time Series Shapelets Feb 1, 2025 →

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