most citedA Guide for Manual Annotation of Scientific Imagery: How to Prepare for Large Projects

1 citations · 1 across the 6 of their papers we have counts for

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6 papers

cs.LG2025★ 1 cited

A Guide for Manual Annotation of Scientific Imagery: How to Prepare for Large Projects

Azim Ahmadzadeh, Rohan Adhyapak, Armin Iraji +3

Despite the high demand for manually annotated image data, managing complex and costly annotation projects remains under-discussed. This is partly due to the fact that leading such…

astro-ph.SR2025

The Impacts of Magnetogram Projection Effects on Solar Flare Forecasting

Griffin T. Goodwin, Viacheslav M. Sadykov, Petrus C. Martens

This work explores the impacts of magnetogram projection effects on machine learning-based solar flare forecasting models. Utilizing a methodology proposed by Falconer et al. (2016…

astro-ph.SR2024

Precise and Accurate Short-term Forecasting of Solar Energetic Particle Events with Multivariate Time Series Classifiers

Sumanth A. Rotti, Berkay Aydin, Petrus C. Martens

Solar energetic particle (SEP) events are one of the most crucial aspects of space weather that require continuous monitoring and forecasting using robust methods. We demonstrate a…

astro-ph.SR2024

Short-term Classification of Strong Solar Energetic Particle Events using Multivariate Time Series Classifiers

Sumanth A. Rotti, Berkay Aydin, Petrus C. Martens

Solar energetic particle (SEP) events are one of the most crucial aspects of space weather that require continuous monitoring and forecasting. Their prediction depends on various f…

astro-ph.SR2024

Magnetic Helicity Signs and Flaring Propensity: Comparing Force-free Parameter with the Helicity signs of Hα Filaments and X-ray Sigmoids

V. Aparna, Manolis K. Georgoulis, Petrus C. Martens

Sigmoids produce strong eruptive events. Earlier studies have shown that the ICME axial magnetic field Bz can be predicted with some credibility by observing the corresponding fila…

astro-ph.SR2024

Investigating Performance Trends of Simulated Real-time Solar Flare Predictions: The Impacts of Training Windows, Data Volumes, and the Solar Cycle

Griffin T. Goodwin, Viacheslav M. Sadykov, Petrus C. Martens

This study explores the behavior of machine learning-based flare forecasting models deployed in a simulated operational environment. Using Georgia State University's Space Weather…