Biblio
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2018. Visión computacional y aprendizaje de máquinas aplicado a la estimación de activación muscular del bíceps braquial. Universidad Nacional del Centro de la Provincia de Buenos Aires - Facultad de Ciencias Exactas. Computer Science Ph.D:63.
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2009. Variante de grow shrink para mejorar la calidad de markov blankets. XXXV Latin American Informatics Conference (CLEI), Pelotas, Brasil.
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2017. Using SmartMesh IP in Smart Agriculture and Smart Building Deployments: it Just Works. Computer Communications journal.
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2021. Towards practical 2D grapevine bud detection with fully convolutional networks. Computers and Electronics in Agriculture. 182:105947.
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2018. Toward Self-Determinant Citizen Governance: Trust-Boosting Sociocracy 3.0 with Blockchain. Symposium on Implementing Collaborative Governance. Models, experiences and challenges to foster policy coordination, and to enhance sustainable community outcomes and public value generation.
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2011. Strategies for piecing-together Local-to-Global Markov network learning algorithms. ASAI 2011.
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2010. Speeding up the execution of a large number of statistical tests of independence. Proceedings of ASAI 2010, Argentinean Symposioum of Artificial Intelligence.
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2011. Sistema SCADA para monitoreo y control de una central hidroeléctrica. CNEISI.
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2012. Segmentación de imágenes en viñedos para la medición autónoma de variables vitícolas. XVIII Congreso Argentino de Ciencias de la Computación.
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2019. S3LF: a Socio-Technical System for Self-Determinant Governance in Collaborative Organizations. 23RD INTERNATIONAL PUBLIC MANAGEMENT NETWORK (IPMN) CONFERENCE.
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2011. RED SIPIA: Red de Sensores Inalámbricos para Investigación Agronómica. XIII Workshop de Investigadores en Ciencias de la Computación.
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2011. RED SIPIA: Red de Sensores Inalámbricos para Investigación Agronómica. XIII Workshop de Investigadores en Ciencias de la Computación.
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2018. Prediction of frost events using machine learning and IoT sensing devices. IEEE Internet of Things Journal. 5(6):4589-4597.
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2018. Prediction of frost events using machine learning and IoT sensing devices. IEEE Internet of Things Journal. 5(6):4589-4597.
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2017. Prediction of frost events using Bayesian networks and Random Forest. IEEE Internet of Things Journal.
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2017. Prediction of frost events using Bayesian networks and Random Forest. IEEE Internet of Things Journal.
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2016. Peach: Predicting frost events in peach orchards using iot technology. EAI Endorsed Transactions on the Internet of Things. (5)
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2016. (Not so) intuitive results from a smart agriculture low-power wireless mesh deployment. Proceedings of the Eleventh ACM Workshop on Challenged Networks.
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2021. Multi species weed detection with Retinanet one-step network in a maize field. Precision agriculture’21. :2223–2228.
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2007. Markov networks structure discovery using independence tests. Computer Science. Doctor of Philosophy:182.
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2013. Learning Markov networks with context-specific independences. IEEE 25th International Conference on Tools with Artificial Intelligence (ICTAI).
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2014. Learning Markov networks networks with context-specific independences.. International Journal on Artificial Intelligence Tools. 23(06)
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2008. Learning Markov Network Structure using Few Independence Tests.. SIAM Data Mining. :680--691.
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2012. Interpolación Espacial Mediante Aprendizaje de Máquinas en Viñedos de la Provincia de Mendoza, Argentina.. 13th Argentine Symposium on Artificial Intelligence.