Biblio
El enfoque IBMAP para aprendizaje de estructuras de redes de Markov. Tesis doctoral en Facultad de Ciencias Exactas - Universidad Nacional del Centro de la Provincia de Buenos Aires. Director: Facundo Bromberg. . Doctorado en Ciencias de la Computación (PhD in Computer Science):138.
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2014. Ensemble of shape functions and support vector machines for the estimation of discrete arm muscle activation from external biceps 3D point clouds. Computers in Biology and Medicine. 95:129-139.
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2018. Estimación de carga muscular mediante imágenes. Argentinean Symposium of Artificial Intelligence (ASAI) - Jornadas Argentinas de Informática. :91--98.
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2014. Exploring the Influence of Self-determination in the Collective Intelligence of Collaborative Organizations. IFKAD, International Forum on Knowledge Asset Dynamics.
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2019. Exploring the Influence of Self-determination in the Collective Intelligence of Collaborative Organizations. Symposium on implementing collaborative governance.
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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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2018. 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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2014. Guest Editorial: 10th Argentinean Symposium on Artificial Intelligence (ASAI 2009). Inteligencia Artificial.. 13(44):4.
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2009. The IBMAP approach for Markov network structure learning. Annals of Mathematics and Artificial Intelligence. 72(3):197--223.
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2014. Image classification for detection of winter grapevine buds in natural conditions using scale-invariant features transform, bag of features and support vector machines. Computers and Electronics in Agriculture. 135:81-95.
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2017. .
2010. Improving the reliability of causal discovery from small data sets using argumentation. The Journal of Machine Learning Research. 10:301–340.
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2009. Independence-based MAP for Markov networks structure discovery. 23rd IEEE International Conference on Tools with Artificial Intelligence (ICTAI).
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2011. Interpolación Espacial Mediante Aprendizaje de Máquinas en Viñedos de la Provincia de Mendoza, Argentina.. 13th Argentine Symposium on Artificial Intelligence.
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2012. Learning Markov Network Structure using Few Independence Tests.. SIAM Data Mining. :680--691.
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2008. Learning Markov networks networks with context-specific independences.. International Journal on Artificial Intelligence Tools. 23(06)
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2014. Learning Markov networks with context-specific independences. IEEE 25th International Conference on Tools with Artificial Intelligence (ICTAI).
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2013. Low-power wireless sensor network for frost monitoring in agriculture research. Biennial Congress of Argentina (ARGENCON), 2014 IEEE.
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2014. Markov networks structure discovery using independence tests. Computer Science. Doctor of Philosophy:182.
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2007. .
2013. Multi species weed detection with Retinanet one-step network in a maize field. Precision agriculture’21. :2223–2228.
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2021. (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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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. .
2011.