Publications of lab members
Thesis
(2018). Visión computacional y aprendizaje de máquinas aplicado a la estimación de activación muscular del bíceps braquial.
(Bromberg, F., Ed.).Universidad Nacional del Centro de la Provincia de Buenos Aires - Facultad de Ciencias Exactas. Computer Science Ph.D, 63. 
(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.
(2014). 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.
(2007). Markov networks structure discovery using independence tests.
Computer Science. Doctor of Philosophy, 182.
Journals
"Towards practical 2D grapevine bud detection with fully convolutional networks",
Computers and Electronics in Agriculture, vol. 182, pp. 105947, 03/2021.
"Prediction of frost events using machine learning and IoT sensing devices",
IEEE Internet of Things Journal, vol. 5, issue 6, pp. 4589-4597, 27 August 2018.
"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, vol. 95, pp. 129-139, 04/2018.
"Grapevine buds detection and localization in 3D space based on Structure from Motion and 2D image classification",
Computers in Industry, vol. 99C , issue Special Issue on Machine Vision for Outdoor Environments, pp. 303-312, 04/2018.
"Towards A Comprehensive Picture Of C-to-U RNA Editing Sites In Angiosperm Mitochondria (under review)",
Plant Molecular Biology, 2018.
"Blankets Joint Posterior score for learning Markov network structures ",
International Journal of Approximate Reasoning, vol. https://doi.org/10.1016/j.ijar.2017.10.018, 10/2017.
"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, vol. 135, pp. 81-95, 04/2017.
"Peach: Predicting frost events in peach orchards using iot technology",
EAI Endorsed Transactions on the Internet of Things, issue 5, 2016.
"Learning Markov networks networks with context-specific independences.",
International Journal on Artificial Intelligence Tools, vol. 23, issue 06, 12/2014.
"The IBMAP approach for Markov network structure learning",
Annals of Mathematics and Artificial Intelligence, vol. 72, issue 3, pp. 197--223, 04/2014.
"A survey on independence-based Markov networks learning",
Artificial Intelligence Review, vol. 42, issue 4, pp. 1093, 06/2012.
"An autonomous labeling approach to support vector machines algorithms for network traffic anomaly detection",
Expert Systems with Applications, vol. 39, pp. 1822–1829, 2012.
"Efficient Markov network discovery using particle filters",
Computational Intelligence, vol. 25, issue 4, pp. 367–394, 11/2009.
"Improving the reliability of causal discovery from small data sets using argumentation",
The Journal of Machine Learning Research, vol. 10, pp. 301–340, 02/2009.
"Efficient Markov network structure discovery using independence tests",
Journal of Artificial Intelligence Research, vol. 35, pp. 449–484, 2009.
"Guest Editorial: 10th Argentinean Symposium on Artificial Intelligence (ASAI 2009)",
Inteligencia Artificial., vol. 13, issue 44, pp. 4, 2009.
International Conference Papers
(2021). Multi species weed detection with Retinanet one-step network in a maize field.
Precision agriculture’21. 2223–2228.
(2019). Exploring the Influence of Self-determination in the Collective Intelligence of Collaborative Organizations.
(Bromberg, F., Ed.).IFKAD, International Forum on Knowledge Asset Dynamics.
(2019). S3LF: a Socio-Technical System for Self-Determinant Governance in Collaborative Organizations.
23RD INTERNATIONAL PUBLIC MANAGEMENT NETWORK (IPMN) CONFERENCE.
(2018). 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.
(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.
(2016). (Not so) intuitive results from a smart agriculture low-power wireless mesh deployment.
Proceedings of the Eleventh ACM Workshop on Challenged Networks.
(2015). Arm muscular effort estimation from images using Computer Vision and Machine Learning.
1st International Conference on Ambient Intelligence for Health.
(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.
(2014). Low-power wireless sensor network for frost monitoring in agriculture research.
Biennial Congress of Argentina (ARGENCON), 2014 IEEE.
(2013). Learning Markov networks with context-specific independences.
IEEE 25th International Conference on Tools with Artificial Intelligence (ICTAI).
(2011). Independence-based MAP for Markov networks structure discovery.
23rd IEEE International Conference on Tools with Artificial Intelligence (ICTAI).
(2009). Variante de grow shrink para mejorar la calidad de markov blankets.
XXXV Latin American Informatics Conference (CLEI), Pelotas, Brasil.
(2008). Learning Markov Network Structure using Few Independence Tests..
SIAM Data Mining. 680--691.
(2007). Efficient and Robust Independence-Based Markov Network Structure Discovery..
20th International Joint Conference of Artificial Inteliigence (IJCAI). 2431-2436 .
(2006). Efficient Markov network structure discovery using independence tests.
Proceedings of the SIAM Conference in Data Mining. 141--152.
National Conference Papers
(2015). Sonda de temperatura para uso agrícola.
CASE Congreso Argentino de Sistemas Embebidos.
(2014). Estimación de carga muscular mediante imágenes.
Argentinean Symposium of Artificial Intelligence (ASAI) - Jornadas Argentinas de Informática. 91--98.
(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.
(2013). Aplicaciones de Internet de las Cosas SIPIA6-Red de Sensores Inalámbricos con IPv6.
XV Workshop de Investigadores en Ciencias de la Computación.
(2012). Interpolación Espacial Mediante Aprendizaje de Máquinas en Viñedos de la Provincia de Mendoza, Argentina..
13th Argentine Symposium on Artificial Intelligence.
(2012). Segmentación de imágenes en viñedos para la medición autónoma de variables vitícolas.
XVIII Congreso Argentino de Ciencias de la Computación.
(2011). Aprendizaje de independencias específicas del contexto en Markov random fields.
XVII Congreso Argentino de Ciencias de la Computación.
(2011). RED SIPIA: Red de Sensores Inalámbricos para Investigación Agronómica.
XIII Workshop de Investigadores en Ciencias de la Computación.
(2010). Speeding up the execution of a large number of statistical tests of independence.
Proceedings of ASAI 2010, Argentinean Symposioum of Artificial Intelligence.
(2010). Application of a Bayesian semi-supervised Learning Strategy to Network Intrution Detection.
Proceedings of ASAI 2010, Argentinean Symposioum of Artificial Intelligence.
(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..
Non peer reviewed publications
(2009). Guest Editorial: 10th Argentinean Symposium on Artificial Intelligence (ASAI 2009).
Inteligencia Artificial.. 13(44), 4.