| An autonomous labeling approach to support vector machines algorithms for network traffic anomaly detection CA Catania, F Bromberg, CG Garino Expert Systems with Applications 39 (2), 1822-1829, 2012 | 112 | 2012 |
| Efficient Markov network structure discovery using independence tests F Bromberg, D Margaritis, V Honavar Journal of Artificial Intelligence Research 35, 449-484, 2009 | 110 | 2009 |
| Prediction of frost events using machine learning and IoT sensing devices AL Diedrichs, F Bromberg, D Dujovne, K Brun-Laguna, T Watteyne IEEE Internet of Things Journal 5 (6), 4589-4597, 2018 | 97 | 2018 |
| Image classification for detection of winter grapevine buds in natural conditions using scale-invariant features transform, bag of features and support vector machines DS Pérez, F Bromberg, CA Diaz Computers and electronics in agriculture 135, 81-95, 2017 | 55 | 2017 |
| Improving the Reliability of Causal Discovery from Small Data Sets Using Argumentation. F Bromberg, D Margaritis Journal of Machine Learning Research 10 (2), 2009 | 40 | 2009 |
| Efficient Markov network discovery using particle filters D Margaritis, F Bromberg Computational Intelligence 25 (4), 367-394, 2009 | 34 | 2009 |
| Grapevine buds detection and localization in 3D space based on structure from motion and 2D image classification CA Díaz, DS Pérez, H Miatello, F Bromberg Computers in Industry 99, 303-312, 2018 | 27 | 2018 |
| Learning markov network structure using few independence tests P Gandhi, F Bromberg, D Margaritis Proceedings of the 2008 SIAM International Conference on Data Mining, 680-691, 2008 | 15 | 2008 |
| Towards practical 2D grapevine bud detection with fully convolutional networks WV Marset, DS Pérez, CA Díaz, F Bromberg Computers and Electronics in Agriculture 182, 105947, 2021 | 14 | 2021 |
| The IBMAP approach for Markov network structure learning F Schlüter, F Bromberg, A Edera Annals of mathematics and artificial intelligence 72, 197-223, 2014 | 12 | 2014 |
| The Grow-Shrink strategy for learning Markov network structures constrained by context-specific independences A Edera, Y Strappa, F Bromberg Advances in Artificial Intelligence--IBERAMIA 2014: 14th Ibero-American …, 2014 | 9 | 2014 |
| 8. Multi species weed detection with Retinanet one-step network in a maize field JML Correa, M Todeschini, DS Pérez, J Karouta, F Bromberg, A Ribeiro, ... Precision agriculture'21, 79-86, 2021 | 8 | 2021 |
| Blankets Joint Posterior score for learning Markov network structures F Schlüter, Y Strappa, DH Milone, F Bromberg International Journal of Approximate Reasoning 92, 295-320, 2018 | 8* | 2018 |
| Efficient and Robust Independence-Based Markov Network Structure Discovery. F Bromberg, D Margaritis IJCAI, 2431-2436, 2007 | 8 | 2007 |
| Arm muscular effort estimation from images using computer vision and machine learning L Abraham, F Bromberg, R Forradellas Ambient Intelligence for Health, 125-137, 2015 | 7 | 2015 |
| Characterization of LQI behavior in WSN for glacier area in Patagonia Argentina AL Diedrichs, MI Robles, F Bromberg, G Mercado, D Dujovne 2013 Fourth Argentine Symposium and Conference on Embedded Systems (SASE …, 2013 | 7 | 2013 |
| Markov random fields factorization with context-specific independences A Edera, F Bromberg, F Schlüter arXiv preprint arXiv:1306.2295, 2013 | 5 | 2013 |
| Ensemble of shape functions and support vector machines for the estimation of discrete arm muscle activation from external biceps 3D point clouds L Abraham, F Bromberg, R Forradellas Computers in biology and medicine 95, 129-139, 2018 | 4 | 2018 |
| Learning Markov networks with context-specific independences A Edera, F Schlüter, F Bromberg 2013 IEEE 25th International Conference on Tools with Artificial …, 2013 | 4 | 2013 |
| Interpolación espacial mediante aprendizaje de máquinas en viñedos de la Provincia de Mendoza, Argentina F Bromberg, DS Pérez XIII Argentine Symposium on Artificial Intelligence (ASAI 2012)(XLI JAIIO …, 2012 | 4 | 2012 |
Alejandro EderaPostdocVerified email at universite-paris-saclay.fr
