Biblio
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. .
2011. Arm muscular effort estimation from images using Computer Vision and Machine Learning. 1st International Conference on Ambient Intelligence for Health.
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2015. Estimación de carga muscular mediante imágenes. Argentinean Symposium of Artificial Intelligence (ASAI) - Jornadas Argentinas de Informática. :91--98.
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2014. 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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2018. Guest Editorial: 10th Argentinean Symposium on Artificial Intelligence (ASAI 2009). Inteligencia Artificial.. 13(44):4.
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2009. An Autonomous labeling approach to SVM algorithms for network traffic anomaly detection. Argentine Symposium of Artificial Intelligence (ASAI). Jornadas Argentinas de Informática. Mar del Plata, Argentina..
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2009. 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. Efficient Markov network structure discovery using independence tests. Proceedings of the SIAM Conference in Data Mining. :141--152.
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2006. Efficient Markov network structure discovery using independence tests. Journal of Artificial Intelligence Research. 35:449–484.
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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. Markov networks structure discovery using independence tests. Computer Science. Doctor of Philosophy:182.
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2007. Variante de grow shrink para mejorar la calidad de markov blankets. XXXV Latin American Informatics Conference (CLEI), Pelotas, Brasil.
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2009. Efficient and Robust Independence-Based Markov Network Structure Discovery.. 20th International Joint Conference of Artificial Inteliigence (IJCAI). :2431-2436.
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2007. 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. 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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2016. Using SmartMesh IP in Smart Agriculture and Smart Building Deployments: it Just Works. Computer Communications journal.
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2017. 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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2010. 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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2012. Multi species weed detection with Retinanet one-step network in a maize field. Precision agriculture’21. :2223–2228.
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2021. 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. 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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2013. 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 Bayesian networks and Random Forest. IEEE Internet of Things Journal.
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2017.