activity
20172026
most citedInteractive Multi-Instrument Database of Solar Flares

22 citations · 37 across the 7 of their papers we have counts for

collaborators

7 papers

cs.DB2026

DexterSQL: Deep Schema Exploration and Rule-based Correction for Text-to-SQL Generation

Anik Pramanik, Murat Kantarcioglu, Vincent Oria +1

Prompting-based (i.e., non-fine-tuning) Text-to-SQL methods, where underlying large language model parameters are not changed for the task, face three problems: (i) relying on coar…

cs.LG2026

FedDAG: Clustered Federated Learning via Global Data and Gradient Integration for Heterogeneous Environments

Anik Pramanik, Murat Kantarcioglu, Vincent Oria +1

Federated Learning (FL) enables a group of clients to collaboratively train a model without sharing individual data, but its performance drops when client data are heterogeneous. C…

astro-ph.SR2021★ 4 cited

Prediction of Solar Proton Events with Machine Learning: Comparison with Operational Forecasts and "All-Clear" Perspectives

Viacheslav Sadykov, Alexander Kosovichev, Irina Kitiashvili +7

Solar Energetic Particle events (SEPs) are among the most dangerous transient phenomena of solar activity. As hazardous radiation, SEPs may affect the health of astronauts in outer…

astro-ph.SR2021

Compression of Solar Spectroscopic Observations: a Case Study of Mg II k Spectral Line Profiles Observed by NASA's IRIS Satellite

Viacheslav M Sadykov, Irina N Kitiashvili, Alberto Sainz Dalda +3

In this study we extract the deep features and investigate the compression of the Mg II k spectral line profiles observed in quiet Sun regions by NASA's IRIS satellite. The data se…

astro-ph.SR2020★ 9 cited

Machine Learning in Heliophysics and Space Weather Forecasting: A White Paper of Findings and Recommendations

Gelu Nita, Manolis Georgoulis, Irina Kitiashvili +38

The authors of this white paper met on 16-17 January 2020 at the New Jersey Institute of Technology, Newark, NJ, for a 2-day workshop that brought together a group of heliophysicis…

astro-ph.SR2018★ 2 cited

Roadmap for Reliable Ensemble Forecasting of the Sun-Earth System

Gelu Nita, Rafal Angryk, Berkay Aydin +44

The authors of this report met on 28-30 March 2018 at the New Jersey Institute of Technology, Newark, New Jersey, for a 3-day workshop that brought together a group of data provide…

astro-ph.SR2017★ 22 cited

Interactive Multi-Instrument Database of Solar Flares

Viacheslav M Sadykov, Alexander G Kosovichev, Vincent Oria +1

Solar flares are complicated physical phenomena that are observable in a broad range of the electromagnetic spectrum, from radiowaves to -rays. For a more comprehensive understa…