Publications of lab members

Thesis

Abraham, L. (2018).  Visión computacional y aprendizaje de máquinas aplicado a la estimación de activación muscular del bíceps braquial. (Bromberg, F., Ed.).Universidad Nacional del Centro de la Provincia de Buenos Aires - Facultad de Ciencias Exactas. Computer Science Ph.D, 63.
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.

Journals

Diaz, C. Ariel, D. Sebastián Pérez, H. Miatello, and F. Bromberg, "Grapevine buds detection and localization in 3D space based on Structure from Motion and 2D image classification", Computers in Industry, vol. 99C , issue Special Issue on Machine Vision for Outdoor Environments, pp. 303-312, 04/2018.
Schlüter, F., Y. Strappa, F. Bromberg, and D. H. Milone, "Blankets Joint Posterior score for learning Markov network structures ", International Journal of Approximate Reasoning, vol. https://doi.org/10.1016/j.ijar.2017.10.018, 10/2017.
Edera, A., F. Schlüter, and F. Bromberg, "Learning Markov networks networks with context-specific independences.", International Journal on Artificial Intelligence Tools, vol. 23, issue 06, 12/2014.
Schlüter, F., F. Bromberg, and A. Edera, "The IBMAP approach for Markov network structure learning", Annals of Mathematics and Artificial Intelligence, vol. 72, issue 3, pp. 197--223, 04/2014.
Schlüter, F., "A survey on independence-based Markov networks learning", Artificial Intelligence Review, vol. 42, issue 4, pp. 1093, 06/2012.
Margaritis, D., and F. Bromberg, "Efficient Markov network discovery using particle filters", Computational Intelligence, vol. 25, issue 4, pp. 367–394, 11/2009.
Bromberg, F., and D. Margaritis, "Improving the reliability of causal discovery from small data sets using argumentation", The Journal of Machine Learning Research, vol. 10, pp. 301–340, 02/2009.
Bromberg, F., D. Margaritis, and V. Honavar, "Efficient Markov network structure discovery using independence tests", Journal of Artificial Intelligence Research, vol. 35, pp. 449–484, 2009.

International Conference Papers

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.
Brun-Laguna, K., Diedrichs A. Laura, Chaar J. Emilio, Dujovne D., Taffernaberry J. Carlos, Mercado G., et al. (2016).  A demo of the PEACH IoT-based frost event prediction system for precision agriculture. Sensing, Communication, and Networking (SECON), 2016 13th Annual IEEE International Conference on.
Edera, A.., Schlüter F.., & Bromberg F.. (2013).  Learning Markov networks with context-specific independences. IEEE 25th International Conference on Tools with Artificial Intelligence (ICTAI).
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).
Bromberg, F., & Schlüter F. (2009).  Variante de grow shrink para mejorar la calidad de markov blankets. XXXV Latin American Informatics Conference (CLEI), Pelotas, Brasil.
Bromberg, F., & Margaritis D. (2007).  Efficient and Robust Independence-Based Markov Network Structure Discovery.. 20th International Joint Conference of Artificial Inteliigence (IJCAI). 2431-2436 .

National Conference Papers

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.
Diedrichs, A. Laura, Robles M. Inés, 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.
Schlüter, F., Bromberg F., & Pérez D. S. (2010).  Speeding up the execution of a large number of statistical tests of independence. Proceedings of ASAI 2010, Argentinean Symposioum of Artificial Intelligence.
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.
Brombereg, F., Catania C. A., & Garino C. Garcia (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..

Non peer reviewed publications