Biblio

Export 54 results:
Autor [ Título(Desc)] Tipo Año
Filters: First Letter Of Last Name is B  [Clear All Filters]
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
A
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.
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.
Edera A, Bromberg F.  2011.  Aprendizaje de independencias específicas del contexto en Markov random fields. XVII Congreso Argentino de Ciencias de la Computación.
Abraham L, Bromberg F, Forradellas R.  2015.  Arm muscular effort estimation from images using Computer Vision and Machine Learning. 1st International Conference on Ambient Intelligence for Health.
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.
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.
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..
B
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
E
Bromberg F, Margaritis D.  2007.  Efficient and Robust Independence-Based Markov Network Structure Discovery.. 20th International Joint Conference of Artificial Inteliigence (IJCAI). :2431-2436.
Margaritis D, Bromberg F.  2009.  Efficient Markov network discovery using particle filters. Computational Intelligence. 25(4):367–394.
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.
Bromberg F, Margaritis D, Honavar V.  2009.  Efficient Markov network structure discovery using independence tests. Journal of Artificial Intelligence Research. 35:449–484.
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.
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.
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.
Ribas A.  2019.  Exploring the Influence of Self-determination in the Collective Intelligence of Collaborative Organizations. IFKAD, International Forum on Knowledge Asset Dynamics.
Ribas A, Brombereg F.  2018.  Exploring the Influence of Self-determination in the Collective Intelligence of Collaborative Organizations. Symposium on implementing collaborative governance.

Páginas