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

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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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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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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 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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