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.

• Google Scholar
• BibTex

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.

• DOI
• Google Scholar
• BibTex

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.

• Google Scholar
• BibTex

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

• DOI
• Google Scholar
• BibTex

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

• Google Scholar
• BibTex

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.

• Google Scholar
• BibTex

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.

• Google Scholar
• BibTex

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

• Google Scholar
• BibTex

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

• DOI
• Google Scholar
• BibTex

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

• DOI
• Google Scholar
• BibTex

Geiger A.  2014.  CV Resources.

• Google Scholar
• BibTex

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

• Google Scholar
• BibTex

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

• Google Scholar
• BibTex

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

• DOI
• Google Scholar
• BibTex

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

• Google Scholar
• BibTex

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.

• DOI
• Google Scholar
• BibTex

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.

• Google Scholar
• BibTex

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.

• Google Scholar
• BibTex

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.

• Google Scholar
• BibTex

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.

• DOI
• Google Scholar
• BibTex

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

• Google Scholar
• BibTex

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.

• Google Scholar
• BibTex

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

• Google Scholar
• BibTex

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

• Google Scholar
• BibTex

Prince SJD.  2012.  Computer vision: models, learning, and inference.

• Google Scholar
• BibTex