Efficient and Robust Independence-Based Markov Network Structure Discovery. - Facundo Bromberg; Dimitris Margaritis 001 (IJCAI, 2007)

Learning Markov Network Structure using Few Independence Tests. - Parichey Gandhi; Facundo Bromberg; Dimitris Margaritis 001 (SDM, 2008)

Guest Editorial: 10 Argentinean Symposium on Artificial Intelligence (ASAI 2009). - Luis Berdún; Facundo Bromberg (Inteligencia Artif., 2009)

Efficient Markov Network Discovery Using Particle Filters. - Dimitris Margaritis 001; Facundo Bromberg (Comput. Intell., 2009)

Efficient Markov Network Structure Discovery Using Independence Tests. - Facundo Bromberg; Dimitris Margaritis 001; Vasant G. Honavar (J. Artif. Intell. Res., 2009)

Improving the Reliability of Causal Discovery from Small Data Sets Using Argumentation. - Facundo Bromberg; Dimitris Margaritis 001 (J. Mach. Learn. Res., 2009)

Independence-Based MAP for Markov Networks Structure Discovery. - Facundo Bromberg; Federico Schlüter; Alejandro Edera (ICTAI, 2011)

Efficient Independence-Based MAP Approach for Robust Markov Networks Structure Discovery - Facundo Bromberg; Federico Schlüter (CoRR, 2011)

An autonomous labeling approach to support vector machines algorithms for network traffic anomaly detection. - Carlos Adrián Catania; Facundo Bromberg; Carlos García Garino (Expert Syst. Appl., 2012)

Learning Markov Networks with Context-Specific Independences. - Alejandro Edera; Federico Schlüter; Facundo Bromberg (ICTAI, 2013)

Markov random fields factorization with context-specific independences. - Alejandro Edera; Facundo Bromberg; Federico Schlüter (CoRR, 2013)

The IBMAP approach for Markov networks structure learning - Federico Schlüter; Facundo Bromberg; Alejandro Edera (CoRR, 2013)

The Grow-Shrink Strategy for Learning Markov Network Structures Constrained by Context-Specific Independences. - Alejandro Edera; Yanela Strappa; Facundo Bromberg (IBERAMIA, 2014)

The IBMAP approach for Markov network structure learning. - Federico Schlüter; Facundo Bromberg; Alejandro Edera (Ann. Math. Artif. Intell., 2014)

Low Cost, High Precision, Autonomous Measurement of Trunk Diameter based on Computer Vision. - Diego Sebastián Pérez; Facundo Bromberg; Francisco Gonzalez Antivilo (CoRR, 2014)

Learning Markov Network Structures Constrained by Context-Specific Independences. - Alejandro Edera; Federico Schlüter; Facundo Bromberg (Int. J. Artif. Intell. Tools, 2014)

Arm Muscular Effort Estimation from Images Using Computer Vision and Machine Learning. - Leandro Abraham; Facundo Bromberg; Raymundo Forradellas (AmIHEALTH, 2015)

Image Classification of Grapevine Buds using Scale-Invariant Features Transform, Bag of Features and Support Vector Machines. - Diego Sebastián Pérez; Facundo Bromberg; Carlos Ariel Díaz (CoRR, 2016)

Blankets Joint Posterior score for learning irregular Markov network structures. - Federico Schlüter; Yanela Strappa; Facundo Bromberg; Diego H. Milone (CoRR, 2016)

Image classification for detection of winter grapevine buds in natural conditions using scale-invariant features transform, bag of features and support vector machines. - Diego Sebastián Pérez; Facundo Bromberg; Carlos Ariel Díaz (Comput. Electron. Agric., 2017)

Ensemble of shape functions and support vector machines for the estimation of discrete arm muscle activation from external biceps 3D point clouds. - Leandro Abraham; Facundo Bromberg; Raymundo Forradellas (Comput. Biol. Medicine, 2018)

Grapevine buds detection and localization in 3D space based on Structure from Motion and 2D image classification. - Carlos Ariel Díaz; Diego Sebastián Pérez; Humberto Miatello; Facundo Bromberg (Comput. Ind., 2018)

Blankets Joint Posterior score for learning Markov network structures. - Federico Schlüter; Yanela Strappa; Diego H. Milone; Facundo Bromberg (Int. J. Approx. Reason., 2018)

Prediction of Frost Events Using Machine Learning and IoT Sensing Devices. - Ana Laura Diedrichs; Facundo Bromberg; Diego Dujovne; Keoma Brun-Laguna; Thomas Watteyne (IEEE Internet Things J., 2018)

Log-linear models independence structure comparison. - Jan Strappa; Facundo Bromberg (CoRR, 2019)

Deep Learning for 2D grapevine bud detection. - Wenceslao Villegas Marset; Diego Sebastián Pérez; Carlos Ariel Díaz; Facundo Bromberg (CoRR, 2020)

Towards practical 2D grapevine bud detection with fully convolutional networks. - Wenceslao Villegas Marset; Diego Sebastián Pérez; Carlos Ariel Díaz; Facundo Bromberg (Comput. Electron. Agric., 2021)

Towards a true conservation zero tillage system: "A proposed solution based on computer vision to herbicide resistance.". - Juan Manuel López-Correa; Hugo Moreno; Diego Sebastián Pérez; Facundo Bromberg; Dionisio Andújar (Comput. Electron. Agric., 2024)

Efficient Comparison Of Independence Structures Of Log-Linear Models. - Jan Strappa; Facundo Bromberg (Comput. J., 2024)