| Comparison of deep learning techniques to model connections between solar wind and ground magnetic perturbations AM Keesee, V Pinto, M Coughlan, C Lennox, MS Mahmud, HK Connor Frontiers in Astronomy and Space Sciences 7, 550874, 2020 | 34 | 2020 |
| Revisiting the ground magnetic field perturbations challenge: A machine learning perspective VA Pinto, AM Keesee, M Coughlan, R Mukundan, JW Johnson, ... Frontiers in Astronomy and Space Sciences 9, 869740, 2022 | 19 | 2022 |
| Probabilistic forecasting of ground magnetic perturbation spikes at mid‐latitude stations M Coughlan, A Keesee, V Pinto, R Mukundan, JP Marchezi, J Johnson, ... Space Weather 21 (6), e2023SW003446, 2023 | 4 | 2023 |
| Using Machine Learning Explainability Techniques to Examine Drivers of Ground Magnetic Field Localization MK Coughlan, AM Keesee, VA Pinto, R Mukundan, JP Marchezi, ... | | 2025 |
| Latitudinal and MLT distribution of dB/dt spikes during geomagnetic storms from 1995 to 2021 during Coronal Mass Ejection and High-Speed Stream events. JP Marchezi, AM Keesee, M Coughlan, R Mukundan, VA Pinto, ... AGU24, 2024 | | 2024 |
| Sytematic Discovery of the Relationships between Localized Geomagnetic Disturbances and the Solar Wind R Mukundan, AM Keesee, JP Marchezi, VA Pinto, M Coughlan, ... AGU24, 2024 | | 2024 |
| Evaluation of gap-filling for OMNI data. How much data is it safe to interpolate? VA Pinto, M Coughlan, R Mukundan, JP Marchezi, AM Keesee AGU24, 2024 | | 2024 |
| Using Superposed Epoch Analysis and Shapley Values to Examine Drivers of Localized dB/dt M Coughlan, AM Keesee, VA Pinto, R Mukundan, JP Marchezi, ... AGU24, 2024 | | 2024 |
| Space weather forecasts of ground level space weather in the UK: Evaluating performance and limitations AW Smith, IJ Rae, C Forsyth, JC Coxon, MT Walach, CJ Lao, ... Space Weather 22 (11), e2024SW003973, 2024 | | 2024 |
| Forecasting 1-hour Ahead Ground Magnetic Field Maximum Perturbations With Deep Learning Models VA Pinto, AM Keesee, M Coughlan, R Mukundan, JP Marchezi, ... AGU Fall Meeting Abstracts 2023 (621), NG13B-0621, 2023 | | 2023 |
| Analyzing the Influence of Magnetotail Phenomena on the Localization of Ground Magnetic Field Perturbations Using Machine Learning Interpretability Techniques M Coughlan, AM Keesee, VA Pinto, JP Marchezi, R Mukundan, ... AGU Fall Meeting Abstracts 2023, NG11A-07, 2023 | | 2023 |
| Adapting the Crossformer to Forecast Geomagnetically Induced Currents JW Johnson, F Siddiqui, M Coughlan, AM Keesee, HKIM Connor AGU Fall Meeting Abstracts 2023, NG12A-08, 2023 | | 2023 |
| On the effects of the solar wind structures in the global distribution of ground-based geomagnetic perturbations during geomagnetic storms JP Marchezi, AM Keesee, M Coughlan, R Mukundan, VA Pinto, ... AGU Fall Meeting Abstracts 2023 (2972), SM33D-2972, 2023 | | 2023 |
| Characterizing the Spatial Scales of Localized Ground-Level Magnetic Perturbations R Mukundan, AM Keesee, JP Marchezi, M Coughlan, DL Hampton, ... AGU Fall Meeting Abstracts 2023 (2967), SM33D-2967, 2023 | | 2023 |
| Investigating the Influence of Inner Magnetosphere Data on a Regional Geomagnetically Induced Current Forecasting Model R Mukundan, AM Keesee, VA Pinto, M Coughlan, H Connor AGU Fall Meeting Abstracts 2022, SM32C-1738, 2022 | | 2022 |
| Forecasting Ground Magnetic Perturbations at High and Mid-Latitudes Using Deep Learning and Near Real-Time Solar Wind Data VA Pinto, AM Keesee, M Coughlan, R Mukundan, JW Johnson, ... AGU Fall Meeting Abstracts 2022, NG52A-0153, 2022 | | 2022 |
| Forecasting of Extreme Ground Magnetic Field Fluctuations at Mid-Latitudes using Machine Learning M Coughlan, AM Keesee, VA Pinto, R Mukundan, JW Johnson, H Connor AGU Fall Meeting Abstracts 2022, SM32C-1736, 2022 | | 2022 |
| Using a Convolutional Neural Network with Uncertainty to Forecast GIC Risk of Occurrence at Mid-Latitudes MK Coughlan Proceedings of the 2nd Machine Learning in Heliophysics, 25, 2022 | | 2022 |
| Developing near real-time ground magnetic field perturbations predictions with machine learning models VA Pinto, AM Keesee, M Coughlan, R Mukundan, J Johnson, HK Connor Proceedings of the 2nd Machine Learning in Heliophysics, 26, 2022 | | 2022 |
| Evaluating Near-Real-Time Ground Magnetic Field Perturbations Predictions Using Machine Learning Models V Pinto, A Keesee, M Coughlan, R Mukundan, J Johnson, HK Connor 102nd American Meteorological Society Annual Meeting, 2022 | | 2022 |
