Spiridon Kasapis

According to our database, Spiridon Kasapis authored at least 8 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

SolARED: Solar Active Region Emergence Dataset for Machine Learning Aided Predictions.

Spiridon Kasapis, Eren Dogan, Irina N. Kitiashvili, Alexander G. Kosovichev, John T. Stefan, Jake D. Butler, Jonas Tirona, Sarang Patil, Mengjia Xu

CoRR, January, 2026

Forecasting Continuum Intensity for Solar Active Region Emergence Prediction using Transformers.

Jonas Tirona, Sarang Patil, Spiridon Kasapis, Eren Dogan, John T. Stefan, Irina N. Kitiashvili, Alexander G. Kosovichev, Mengjia Xu

CoRR, January, 2026

2025

Surya: Foundation Model for Heliophysics.

Sujit Roy, Johannes Schmude, Rohit Lal, Vishal Gaur, Marcus Freitag, Julian Kuehnert, Theodore van Kessel, Dinesha Hegde, Andrés Muñoz-Jaramillo, Johannes Jakubik, Etienne Eben Vos, Kshitiz Mandal, Ata Akbari Asanjan, João Lucas de Sousa Almeida, Amy Lin, Talwinder Singh, Yanghui Kang, Chetraj Pandey, Jinsu Hong, Berkay Aydin, Thorsten Kurth, Ryan M. McGranaghan, Spiridon Kasapis, Vishal Upendran, Shah Bahauddin, Daniel da Silva, Nikolai V. Pogorelov, Anne Spalding, Campbell D. Watson, Manil Maskey, Madhulika Guhathakurta, Juan Bernabé-Moreno, Rahul Ramachandran

CoRR, August, 2025

SuryaBench: Benchmark Dataset for Advancing Machine Learning in Heliophysics and Space Weather Prediction.

Sujit Roy, Dinesha Hegde, Johannes Schmude, Amy Lin, Vishal Gaur, Rohit Lal, Kshitiz Mandal, Talwinder Singh, Andrés Muñoz-Jaramillo, Yanghui Kang, Chetraj Pandey, Jinsu Hong, Berkay Aydin, Ryan McGranaghan, Spiridon Kasapis, Vishal Upendran, Shah Bahauddin, Daniel da Silva, Marcus Freitag, Iksha Gurung, Nikolai V. Pogorelov, Campbell D. Watson, Manil Maskey, Juan Bernabé-Moreno, Rahul Ramachandran

CoRR, August, 2025

2024

Solar Active Regions Emergence Prediction Using Long Short-Term Memory Networks.

Spiridon Kasapis, Irina N. Kitiashvili, Alexander G. Kosovichev, John T. Stefan

CoRR, 2024

Forecasting SEP Events During Solar Cycles 23 and 24 Using Interpretable Machine Learning.

Spiridon Kasapis, Irina N. Kitiashvili, Paul Kosovich, Alexander G. Kosovichev, Viacheslav M. Sadykov, Patrick O'Keefe, Vincent Wang

CoRR, 2024

Predicting the Emergence of Solar Active Regions Using Machine Learning.

Spiridon Kasapis, Irina N. Kitiashvili, Alexander G. Kosovichev, John T. Stefan, Bhairavi Apte

CoRR, 2024

2020

Using ROC and Unlabeled Data for Increasing Low-Shot Transfer Learning Classification Accuracy.

Spiridon Kasapis, Geng Zhang, Jonathon M. Smereka, Nickolas Vlahopoulos

CoRR, 2020