Diedrichs ALaura, Bromberg F, Dujovne D, Brun-Laguna K, Watteyne T.  2018.  Prediction of frost events using machine learning and IoT sensing devices. IEEE Internet of Things Journal. 5(6):4589-4597.

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Diedrichs ALaura, Bromberg F, Dujovne D, Brun-Laguna K, Watteyne T.  2017.  Prediction of frost events using Bayesian networks and Random Forest. IEEE Internet of Things Journal.

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Edera A, Bromberg F, Schlüter F.  2013.  Markov random fields factorization with context-specific independences.

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Edera A., Schlüter F., Bromberg F..  2013.  Learning Markov networks with context-specific independences. IEEE 25th International Conference on Tools with Artificial Intelligence (ICTAI).

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Edera A, Schlüter F, Bromberg F.  2014.  Learning Markov networks networks with context-specific independences.. International Journal on Artificial Intelligence Tools. 23(06)

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Edera AA., Gandini CL, M. Sanchez-Puerta V.  2018.  Towards A Comprehensive Picture Of C-to-U RNA Editing Sites In Angiosperm Mitochondria (under review). Plant Molecular Biology.

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Edera A, Bromberg F.  2011.  Aprendizaje de independencias específicas del contexto en Markov random fields. XVII Congreso Argentino de Ciencias de la Computación.

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Edera A, Strappa Y, Bromberg F.  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.

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Edera A.  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.

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Gandhi P, Bromberg F, Margaritis D.  2008.  Learning Markov Network Structure using Few Independence Tests.. SIAM Data Mining. :680--691.

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Geiger A.  2014.  CV Resources.

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Grünwaldt G, Pecchia M, Diedrichs ALaura, Tabacchi G, Mercado G.  2015.  Sonda de temperatura para uso agrícola. CASE Congreso Argentino de Sistemas Embebidos.

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Hoiem D.  2011.  Computer Vision: Summary and Discussion.

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Margaritis D, Bromberg F.  2009.  Efficient Markov network discovery using particle filters. Computational Intelligence. 25(4):367–394.

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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.

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Marset WVillegas, Pérez DS, Díaz CA, Bromberg F.  2020.  Deep Learning for 2D Grapevine Bud Detection.

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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.

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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.

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Paproki A, Fripp J, Salvado O, Sirault X, Berry S, Furbank R.  2011.  Automated 3D segmentation and analysis of cotton plants. Digital Image Computing Techniques and Applications (DICTA), 2011 International Conference on.

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Perez C, Diedrichs ALaura.  2016.  SDCP: Streaming Distributed Control Protocol.

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Pérez DSebastián, Bromberg F, Diaz CAriel.  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. 135:81-95.

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Pérez DSebastián, Bromberg F, Gonzalez-Antivilo F.  2016.  Computer Vision Approach for Low Cost, High Precision Measurement of Grapevine Trunk Diameter in Outdoor Conditions.

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Pérez DS, Bromberg F.  2012.  Segmentación de imágenes en viñedos para la medición autónoma de variables vitícolas. XVIII Congreso Argentino de Ciencias de la Computación.

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Perez DSebastian.  2017.  Diseño de Algoritmos de Aprendizajes de Máquinas y Visión Computacional para la Medición Autónoma de Variables Vitı́colas.

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