Biblio
Peach: Predicting frost events in peach orchards using iot technology. EAI Endorsed Transactions on the Internet of Things. (5)
.
2016. .
2011.
The IBMAP approach for Markov network structure learning. Annals of Mathematics and Artificial Intelligence. 72(3):197--223.
.
2014. Speeding up the execution of a large number of statistical tests of independence. Proceedings of ASAI 2010, Argentinean Symposioum of Artificial Intelligence.
.
2010. 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.
.
2014. .
2016. Blankets Joint Posterior score for learning Markov network structures . International Journal of Approximate Reasoning. https://doi.org/10.1016/j.ijar.2017.10.018
.
2017. A survey on independence-based Markov networks learning. Artificial Intelligence Review. 42(4):1093.
.
2012. S3LF: a Socio-Technical System for Self-Determinant Governance in Collaborative Organizations. 23RD INTERNATIONAL PUBLIC MANAGEMENT NETWORK (IPMN) CONFERENCE.
.
2019. Exploring the Influence of Self-determination in the Collective Intelligence of Collaborative Organizations. IFKAD, International Forum on Knowledge Asset Dynamics.
.
2019. Exploring the Influence of Self-determination in the Collective Intelligence of Collaborative Organizations. Symposium on implementing collaborative governance.
.
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.
.
2018. .
2012.
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.
.
2017. .
2016. Segmentación de imágenes en viñedos para la medición autónoma de variables vitícolas. XVIII Congreso Argentino de Ciencias de la Computación.
.
2012. .
2017. .
2016. Automated 3D segmentation and analysis of cotton plants. Digital Image Computing Techniques and Applications (DICTA), 2011 International Conference on.
.
2011. Aplicaciones de Internet de las Cosas SIPIA6-Red de Sensores Inalámbricos con IPv6. XV Workshop de Investigadores en Ciencias de la Computación.
.
2013. RED SIPIA: Red de Sensores Inalámbricos para Investigación Agronómica. XIII Workshop de Investigadores en Ciencias de la Computación.
.
2011. .
2020. Towards practical 2D grapevine bud detection with fully convolutional networks. Computers and Electronics in Agriculture. 182:105947.
.
2021. Efficient Markov network discovery using particle filters. Computational Intelligence. 25(4):367–394.
.
2009.