Biblio

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Conference Paper
Mercado G, Borgo R, Antivilo FGonzalez, Taffernaberry JCarlos, Diedrichs A, Aguirre M, Robles MInés, Grunwaldt G, Tabacchi G, Tromer S et al..  2013.  Aplicaciones de Internet de las Cosas SIPIA6-Red de Sensores Inalámbricos con IPv6. XV Workshop de Investigadores en Ciencias de la Computación.
Brun-Laguna K, Diedrichs ALaura, Chaar JEmilio, Dujovne D, Taffernaberry JCarlos, Mercado G, Watteyne T.  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.
Diedrichs ALaura, Tabacchi G, Grunwaldt G, Pecchia M, Mercado G, Antivilo FGonzalez.  2014.  Low-power wireless sensor network for frost monitoring in agriculture research. Biennial Congress of Argentina (ARGENCON), 2014 IEEE.
Mercado G, Borgo R, Antivilo FGonzalez, Uriburu GOrtiz, Diedrichs A, Farreras P, Aguirre M, Battaglia F, Tabacchi G, Tromer S.  2011.  RED SIPIA: Red de Sensores Inalámbricos para Investigación Agronómica. XIII Workshop de Investigadores en Ciencias de la Computación.
Conference Proceedings
Diedrichs ALaura, Robles MInés, Bromberg F, Mercado G, Dujovne D.  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.
Bromberg F, Margaritis D.  2007.  Efficient and Robust Independence-Based Markov Network Structure Discovery.. 20th International Joint Conference of Artificial Inteliigence (IJCAI). :2431-2436.
Bromberg F, Margaritis D, Honavar V.  2006.  Efficient Markov network structure discovery using independence tests. Proceedings of the SIAM Conference in Data Mining. :141--152.
Gandhi P, Bromberg F, Margaritis D.  2008.  Learning Markov Network Structure using Few Independence Tests.. SIAM Data Mining. :680--691.
Grünwaldt G, Pecchia M, Diedrichs ALaura, Tabacchi G, Mercado G.  2015.  Sonda de temperatura para uso agrícola. CASE Congreso Argentino de Sistemas Embebidos.
Journal Article
Schlüter F, Strappa Y, Bromberg F, Milone DH.  2017.  Blankets Joint Posterior score for learning Markov network structures . International Journal of Approximate Reasoning. https://doi.org/10.1016/j.ijar.2017.10.018
Margaritis D, Bromberg F.  2009.  Efficient Markov network discovery using particle filters. Computational Intelligence. 25(4):367–394.
Bromberg F, Margaritis D, Honavar V.  2009.  Efficient Markov network structure discovery using independence tests. Journal of Artificial Intelligence Research. 35:449–484.
Diaz CAriel, Pérez DSebastián, Miatello H, Bromberg F.  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.
Bromberg F, Margaritis D.  2009.  Improving the reliability of causal discovery from small data sets using argumentation. The Journal of Machine Learning Research. 10:301–340.
Watteyne T, Diedrichs ALaura, Brun-Laguna K, Chaar JEmilio, Dujovne D, Taffernaberry JCarlos, Mercado G.  2016.  Peach: Predicting frost events in peach orchards using iot technology. EAI Endorsed Transactions on the Internet of Things. (5)
Marset WVillegas, Perez DSebastian, Díaz CAriel, Bromberg F.  2021.  Towards practical 2D grapevine bud detection with fully convolutional networks. Computers and Electronics in Agriculture. 182:105947.
Thesis
Bromberg F, Margaritis D.  2007.  Markov networks structure discovery using independence tests. Computer Science. Doctor of Philosophy:182.
Unpublished
Marset WVillegas, Pérez DS, Díaz CA, Bromberg F.  2020.  Deep Learning for 2D Grapevine Bud Detection.