8 papers
Review of Machine Learning Models for Solar Energetic Particle Prediction
Spiridon Kasapis, Pouya Hosseinzadeh, Kathryn Whitman +73
Solar energetic particle (SEP) events have attracted increasing attention due to their significant radiation hazards for aviation, spacecraft electronics, and human missions beyond…
SolarGPT-QA: A Domain-Adaptive Large Language Model for Educational Question Answering in Space Weather and Heliophysics
Santosh Chapagain, MohammadReza EskandariNasab, Onur Vural +2
Solar activity, including solar flares, coronal mass ejections (CMEs), and geomagnetic storms can significantly impact satellites, aviation, power grids, data centers, and space mi…
Global Cross-Time Attention Fusion for Enhanced Solar Flare Prediction from Multivariate Time Series
Onur Vural, Shah Muhammad Hamdi, Soukaina Filali Boubrahimi
Multivariate time series classification is increasingly investigated in space weather research as a means to predict intense solar flare events, which can cause widespread disrupti…
TIMED: Adversarial and Autoregressive Refinement of Diffusion-Based Time Series Generation
MohammadReza EskandariNasab, Shah Muhammad Hamdi, Soukaina Filali Boubrahimi
Generating high-quality synthetic time series is a fundamental yet challenging task across domains such as forecasting and anomaly detection, where real data can be scarce, noisy,…
Advancing Minority Stress Detection with Transformers: Insights from the Social Media Datasets
Santosh Chapagain, Cory J Cascalheira, Shah Muhammad Hamdi +2
Individuals from sexual and gender minority groups experience disproportionately high rates of poor health outcomes and mental disorders compared to their heterosexual and cisgende…
Pruning Strategies for Backdoor Defense in LLMs
Santosh Chapagain, Shah Muhammad Hamdi, Soukaina Filali Boubrahimi
Backdoor attacks are a significant threat to the performance and integrity of pre-trained language models. Although such models are routinely fine-tuned for downstream NLP tasks, r…