Biblio
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] Título Tipo Año Filters: Conference-paper is interpolaci%C3%B3n-espacial-mediante-aprendizaje-de-m%C3%A1quinas-en-vi%C3%B1edos-de-la [Clear All Filters]
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2015. Sonda de temperatura para uso agrícola. CASE Congreso Argentino de Sistemas Embebidos.
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2014. CV Resources.
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2008. Learning Markov Network Structure using Few Independence Tests.. SIAM Data Mining. :680--691.
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2018. Towards A Comprehensive Picture Of C-to-U RNA Editing Sites In Angiosperm Mitochondria (under review). Plant Molecular Biology.
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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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2011. Aprendizaje de independencias específicas del contexto en Markov random fields. XVII Congreso Argentino de Ciencias de la Computación.
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2014. The Grow-Shrink strategy for learning Markov network structures constrained by context-specific independences. 14th edition of the Ibero-American Conference on Artificial Intelligence.
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2016. Aprendizaje de redes de Markov basado en independencias específicas del contexto: formalización y aplicación a datos espaciales. Doctorado en Ciencias de la Computación, Universidad Nacional de San Luis.
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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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2013. Characterization of LQI behavior in WSN for glacier area in Patagonia Argentina. Embedded Systems (SASE/CASE), 2013 Fourth Argentine Symposium and Conference on. :1--6.
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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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2014. Low-power wireless sensor network for frost monitoring in agriculture research. Biennial Congress of Argentina (ARGENCON), 2014 IEEE.
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2018. Grapevine buds detection and localization in 3D space based on Structure from Motion and 2D image classification. Computers in Industry. 99C (Special Issue on Machine Vision for Outdoor Environments):303-312.
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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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2010. Application of a Bayesian semi-supervised Learning Strategy to Network Intrution Detection. Proceedings of ASAI 2010, Argentinean Symposioum of Artificial Intelligence.
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2012. An autonomous labeling approach to support vector machines algorithms for network traffic anomaly detection. Expert Systems with Applications. 39:1822–1829.
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2016. A demo of the PEACH IoT-based frost event prediction system for precision agriculture. Sensing, Communication, and Networking (SECON), 2016 13th Annual IEEE International Conference on.
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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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2017. Using SmartMesh IP in Smart Agriculture and Smart Building Deployments: it Just Works. Computer Communications journal.
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2007. Efficient and Robust Independence-Based Markov Network Structure Discovery.. 20th International Joint Conference of Artificial Inteliigence (IJCAI). :2431-2436.
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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.