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Fecha de publicación	Título	Autor(es)
2022	Past and future of wildfires in Northern Hemisphere’s boreal forests,	-
2022-06-21	Long-Term Forecasting of Strong Earthquakes in North America, South America, Japan, Southern China and Northern India With Machine Learning	-
2022-04-29	Predicting Atlantic hurricanes using Machine Learning	-
2022-01-10	New Reconstruction of Sunspot Activity Variations from Historical Sunspot Records Using Algorithms from Machine Learning.	-
2022-08-22	The New Composite Solar Flare Index from Solar Cycle 17 to Cycle 24 (1937-2020)	-
2023-08-25	Electroencephalographic Characterization by Covariance Analysis in Men with Parkinson’s Disease Reveals Sex- and Age-Related Differences.	-
2024-10-01	Seismic forecasting by Gapped Wavelet Transform for the Río de la Plata Craton and adjacent continental platform	-
2024-11-10	De novo design of triosephosphate isomerases using generative language models	-
2022-05-17	Neuron segmentation in epifluorescence microscopy imaging with deep learning	-
2019-03-31	Heterologous Machine Learning for the Identification of Antimicrobial Activity in Human-Targeted Drugs	Caballero, Julio (editor académico)
2016-08-29	Geometric integrator for simulations in the canonical ensemble	-
2023-10-31	Supervised Machine Learning Methods for Seasonal Influenza Diagnosis	-
2023-03-16	Editorial: Computational chemogenomics: In silico tools in pharmacological research and drug discovery	-
2011	SCHEDULING BASED UPON FREQUENCY TRANSITION Following Agents Agreement in a NCS	-
2018-03-05	Griffin: A Tool for Symbolic Inference of Synchronous Boolean Molecular Networks	-
2000-05-01	Model-based spectral estimation of Doppler signals using parallel genetic algorithms	-
2020	Descriptions of issues and comments for predicting issue success in software projects	-
2020-04-20	Choosing the best sensor fusion method: A machine-learning approach	-
2020-10-12	Automated Characterization and Prediction of Wind Conditions Using Gaussian Mixtures	-
2020-09-04	Antifragility predicts the robustness and evolvability of biological networks through multi-class classification with a convolutional neural network	-