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Resultados 1-10 de 17.
Resultados por ítem:
Fecha de publicaciónTítuloAutor(es)
2020Overcoming data scarcity in earth science.Gorgoglione, Angela; Castro, Alberto; Chreties, Christian; Etcheverry, Lorena
2021Machine Learning methods for genome enabled prediction of complex traits : Benchmarking and robustness to marker eliminationElenter, Juan; Etchebarne, Guillermo; Hounie, Ignacio; Fariello, María Inés; Lecumberry, Federico
2021Water-quality data imputation with a high percentage of missing values : A machine learning approachRodríguez Núñez, Rafael; Pastorini, Marcos; Etcheverry, Lorena; Chreties, Christian; Fossati, Mónica; Castro, Alberto; Gorgoglione, Angela
2020Fraud detection in electric power distribution : an approach that maximizes the economic return.Massaferro Saquieres, Pablo; Di Martino, Matías; Fernández, Alicia
2020On the usage of generative models for network anomaly detection in multivariate time-series.García González, Gastón; Casas, Pedro; Fernández, Alicia; Gómez, Gabriel
2022GROWS - Improving decentralized resource allocation in wireless networks through graph neural networksRandall, Martín; Belzarena, Pablo; Larroca, Federico; Casas, Pedro
2021Predicting wireless RSSI using machine learning on graphs.Rattaro, Claudina; Larroca, Federico; Capdehourat, Germán
2024Harnessing technology for livestock research : An online sheep behavior monitoring system.Cabrera, Varinia; Delbuggio, Andrea; Cardoso, Hernán; Fraga, Diego; Gómez, Alvaro; Pedemonte, Martín; Ungerfeld, Rodolfo; Oreggioni, Julián
2023Learning to solve decision problems over two timescales : An application to 5G puncturingRandall, Martín; Belcredi, Gonzalo; Belzarena, Pablo; Larroca, Federico
2020Large-scale internet user behavior analysis of a nationwide K-12 education network based on DNS queriesArriola, Alexis; Pastorini, Marcos; Capdehourat, Germán; Grampín, Eduardo; Castro, Alberto

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