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

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

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Schlüter F, Strappa Y, Bromberg F, Milone DH.  2017.  Blankets Joint Posterior score for learning Markov network structures . International Journal of Approximate Reasoning. https://doi.org/10.1016/j.ijar.2017.10.018

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

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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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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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Diedrichs ALaura, Robles MInés, Bromberg F, Mercado G, Dujovne D.  2013.  Characterization of LQI behavior in WSN for glacier area in Patagonia Argentina. Embedded Systems (SASE/CASE), 2013 Fourth Argentine Symposium and Conference on. :1--6.

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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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Ribas À, Bromberg F.  2018.  Toward Self-Determinant Citizen Governance: Trust-Boosting Sociocracy 3.0 with Blockchain. Symposium on Implementing Collaborative Governance. Models, experiences and challenges to foster policy coordination, and to enhance sustainable community outcomes and public value generation.

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

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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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