Schlüter F, Bromberg F.  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.

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Abraham L, Bromberg F, Forradellas R.  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. 95:129-139.

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Abraham L, Bromberg F, Forradellas R.  2014.  Estimación de carga muscular mediante imágenes. Argentinean Symposium of Artificial Intelligence (ASAI) - Jornadas Argentinas de Informática. :91--98.

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Ribas A.  2019.  Exploring the Influence of Self-determination in the Collective Intelligence of Collaborative Organizations. IFKAD, International Forum on Knowledge Asset Dynamics.

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Ribas A, Brombereg F.  2018.  Exploring the Influence of Self-determination in the Collective Intelligence of Collaborative Organizations. Symposium on implementing collaborative governance.

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Yuille A, Oliva A.  2010.  Frontiers in Computer Vision: NSF White Paper.

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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.

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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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Berdún L, Bromberg F.  2009.  Guest Editorial: 10th Argentinean Symposium on Artificial Intelligence (ASAI 2009). Inteligencia Artificial.. 13(44):4.

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Schlüter F, Bromberg F, Edera A.  2014.  The IBMAP approach for Markov network structure learning. Annals of Mathematics and Artificial Intelligence. 72(3):197--223.

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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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[Anónimo].  2010.  ImageNets.

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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.

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Bromberg F., Schlüter F., Edera A..  2011.  Independence-based MAP for Markov networks structure discovery. 23rd IEEE International Conference on Tools with Artificial Intelligence (ICTAI).

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Bromberg F, Pérez DS.  2012.  Interpolación Espacial Mediante Aprendizaje de Máquinas en Viñedos de la Provincia de Mendoza, Argentina.. 13th Argentine Symposium on Artificial Intelligence.

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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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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 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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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.

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Bromberg F, Margaritis D.  2007.  Markov networks structure discovery using independence tests. Computer Science. Doctor of Philosophy:182.

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

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Correa JMLópez, Todeschini M, Pérez DS, Karouta J, Bromberg F, Ribeiro A, Andújar D.  2021.  Multi species weed detection with Retinanet one-step network in a maize field. Precision agriculture’21. :2223–2228.

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Brun-Laguna K, Diedrichs ALaura, Dujovne D, Léone R, Vilajosana X, Watteyne T.  2016.  (Not so) intuitive results from a smart agriculture low-power wireless mesh deployment. Proceedings of the Eleventh ACM Workshop on Challenged Networks.

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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)

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[Anónimo].  2011.  Point Cloud Library (PCL).

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