Peer-Reviewed Journal Publications

• Núñez, M. (2025). Predicting Ground-Level Enhancement Events and >500 MeV Proton Intensity Using Proton and Electron Observations. Universe, 11(3), 94, doi: 10.3390/universe11030094

• Hu, S., Barzilla J., Núñez M. and Semones E. (2025). Real-time dose prediction for Artemis missions, Journal of Space Weather and Space Climate, 15, 1, doi.org/10.1051/swsc/2024037 [] 

• Whitman K., Egeland R., Richardson I., Allison C., Quinn P., Barzilla J., Kitiashvili I., Sadykov V., Bain H., Dierckxsens M., Mays L., Tadesse T., Lee K., Semones E., Luhmann J., Núñez M. and 110 more authors (2023), Review of solar energetic particle models, Advances in Space Research, doi: 10.1016/j.asr.2022.08.006. []

• Núñez M. (2022), Evaluation of the UMASEP-10 version 2 tool for predicting all >10 MeV SEP events of solar cycles 22, 23 and 24, Universe, 8(1), 35, doi: 10.3390/universe8010035. []

• Núñez M. and Paul-Peña D. (2020), Predicting >10 MeV SEP events from solar flare and radio burst data, Universe, 6 (10), 161,  doi: 10.3390/universe6100161.  []

• Dos Santos L.F., A. Narock, T. Nieves-Chinchilla, M. Núñez and M. Kirk (2020). Identifying flux rope signatures using a Deep Neural Network, Solar Physics, 295, 131(2020), doi: 10.1007/s11207-020-01697.x.  [].

• Núñez M., T. Nieves-Chinchilla  and A. Pulkkinen (2019). Predicting well-connected SEP events from observations of solar EUVs and energetic protons. J. Space Weather Space Clim.,9, A27, doi: 10.1051/swsc/2019025.  []. 

• Verbeke C., L. Mays, M. Temmer, S. Bingham, R. Steenburgh, M. Dumbovic, M.Núñez, L. Jian, P. Hess, A. Taktakishvili and J. Andries (2019), Benchmarking CME Arrival Time and Impact: Progress on Metadata, Metrics, and Events, Space Weather, 17, SWE20800, doi:10.1029/2018SW002046.  [].. 

• Núñez M. (2018), Predicting well-connected SEP events from observations of solar soft X-rays and near-relativistic electrons, J. Space Weather Space Climate,  8, A36, doi: 10.1051/swsc/2018023.  [].

• Riley P., Mays L., Andries J., Amerstorfer T., Delouille V., Dumbovic M., Feng X., Linker J.A., Möstl C., Núñez M., Temmer M., Tobiska W.K., Verbeke C. and Zhao X. (2018), Forecasting the Arrival Time of Coronal Mass Ejections: Analysis of the CCMC CME Scoreboard, Space Weather, 16, doi: 10.1029/2018SW001962.  []..

• Núñez M., P. J. Reyes-Santiago and O. E. Malandraki (2017), Real-time prediction of the occurrence of GLE events, Space Weather, 15, 7, pp 861-873, https://agupubs.onlinelibrary.wiley.com/doi/full/10.1002/2017SW001605.  [].

• Zucca P., M. Núñez and K. Klein (2017), Exploring the potential of microwave diagnostics in SEP forecasting: The occurrence of SEP events, Journal of Space Weather and Space Climate, vol. 7, A13, 2017.  https://doi.org/10.1051/swsc/2017011.  [].

• Núñez M., T. Nieves-Chinchilla, and A. Pulkkinen (2016), Prediction of Shock Arrival Times from CME and Flare Data, Space Weather, 14, 8, 2016, http://dx.doi.org/10.1002/2016SW001361.    [].

• García-Rigo A., M. Núñez, R. Qahwaji, O. W. Ashamari, M. Hernández-Pajares, P. Jiggens, A. Hilgers, G. Pérez (2016), Prediction and Warning system of SEP events and Solar Flares for Risk Estimation in Space Launch Operations, Journal of Space Weather and Space Climate, 6 (2016) A28, doi: http://dx.doi.org/10.1051/swsc/2016021   [].

• Núñez M. (2015), Real-time prediction of the occurrence and intensity of the first hours of > 100 MeV solar energetic proton events, Space Weather, 13, 11, http://dx.doi.org/10.1002/2015SW001256. See Space Weather Quarterly (the cover headline is about this model; paper's full text is in pages 22-34).  [].

• Tsagouri I., A. Belehaki, N. Bergeot, C. Cid, M. Núñez, et al. (2013), Progress in space weather modeling in an operational environment, J. Space Weather Space Climate, 3, A17, 2013, doi:10.1051/swsc/2013037.  [].

• Núñez M. (2011), Predicting solar energetic proton events (E > 10 MeV), Space Weather, 9, S07003, doi:10.1029/2010SW000640. []

• Fidalgo-Merino R., Núñez, M. (2011), Self-Adaptive Induction of Regression Trees, in IEEE Transactions on Pattern Analysis and Machine Intelligence, 33, 8, pp.1659-1672, Aug. 2011, doi: 10.1109/TPAMI.2011.19.  []..

• Nuñez M., R. Fidalgo-Merino, R.Morales, (2007), Learning in Environments with Unknown Dynamics: Towards more Robust Concept Learners, Journal of Machine Learning Research, 8, (2007) 2595-2628, pp 2595 - 2628.  []..

• Núñez M., R. Fidalgo, M. Baena, R.Morales, (2005), The influence of active region information in the prediction of solar flares: an empirical model using Data Mining, Annales Geophysicae, 23, 9, pp 3129 - 3138, doi: 10.5194/angeo-23-3129-2005.  []..

• Núñez M., R. Fidalgo, R.Morales (2005), On-Line Learning of Decision Trees in Problems with Unknown Dynamics, Lecture Notes in Computer Sciences (Proceedings of MICAI-2005), vol 3789, doi 10.1007/11579427_45, Springer, pp 443-4533789, pp 443 - 453.  []

• Núñez M., R.Morales, F.Triguero (2002), Automatic Discovery of Rules for Predicting Network Management Events, IEEE Journal on Selected Areas in Communications Special Issue: Recent Advances in Fundamentals of Network Management,  20, 4, doi: 10.1109/JSAC.2002.1003040.  []..

• Núñez M. (2000), Learning Patterns of Behavior by Observing System Events, Lecture Notes in Computer Science, 2000, Volume 1810/2000, 323-330, doi: 10.1007/3-540-45164-1_34.  []

• Núñez M. (1990), Decision tree induction using domain knowledge, European Knowledge Acquisition Workshop (EKAW), published in Frontiers in Artificial Intelligence and Applications, IOS Press, ISBN: 978-90-5199-036-, pp. 276-288.  []

• Núñez M. (1991), The Use of Background Knowledge in Decision Tree Induction, Machine Learning, Vol 6, 3, doi: 10.1007/BF00114778, Pags: 231-250.  []..

Bio CV