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.

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Bromberg F, Margaritis D.  2007.  Efficient and Robust Independence-Based Markov Network Structure Discovery.. 20th International Joint Conference of Artificial Inteliigence (IJCAI). :2431-2436.

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

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Brombereg F, Catania CA, Garino CGarcia.  2009.  An Autonomous labeling approach to SVM algorithms for network traffic anomaly detection. Argentine Symposium of Artificial Intelligence (ASAI). Jornadas Argentinas de Informática. Mar del Plata, Argentina..

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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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Bromberg F, Margaritis D, Honavar V.  2009.  Efficient Markov network structure discovery using independence tests. Journal of Artificial Intelligence Research. 35:449–484.

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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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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.  2009.  Variante de grow shrink para mejorar la calidad de markov blankets. XXXV Latin American Informatics Conference (CLEI), Pelotas, Brasil.

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Catania C.A, C. Garino G, Bromberg F..  2010.  Application of a Bayesian semi-supervised Learning Strategy to Network Intrution Detection. Proceedings of ASAI 2010, Argentinean Symposioum of Artificial Intelligence.

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

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[Anónimo].  2010.  ImageNets.

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Schlüter F, Bromberg F, Pérez DS.  2010.  Speeding up the execution of a large number of statistical tests of independence. Proceedings of ASAI 2010, Argentinean Symposioum of Artificial Intelligence.

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

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

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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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Abraham L, Botta A, Fratte D, Ocaña P.  2011.  Sistema SCADA para monitoreo y control de una central hidroeléctrica. CNEISI.

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Schlüter F, Bromberg F, Abraham L.  2011.  Strategies for piecing-together Local-to-Global Markov network learning algorithms. ASAI 2011.

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Catania CA, Bromberg F, Garino CGarcía.  2012.  An autonomous labeling approach to support vector machines algorithms for network traffic anomaly detection. Expert Systems with Applications. 39:1822–1829.

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

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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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