| Deep learning for plant identification using vein morphological patterns GL Grinblat, LC Uzal, MG Larese, PM Granitto Computers and electronics in agriculture 127, 418-424, 2016 | 672 | 2016 |
| Automatic classification of legumes using leaf vein image features MG Larese, R Namías, RM Craviotto, MR Arango, C Gallo, PM Granitto Pattern Recognition 47 (1), 158-168, 2014 | 207 | 2014 |
| Seed-per-pod estimation for plant breeding using deep learning LC Uzal, GL Grinblat, R Namías, MG Larese, JS Bianchi, EN Morandi, ... Computers and electronics in agriculture 150, 196-204, 2018 | 128 | 2018 |
| Multiscale recognition of legume varieties based on leaf venation images MG Larese, AE Bayá, RM Craviotto, MR Arango, C Gallo, PM Granitto Expert Systems with Applications 41 (10), 4638-4647, 2014 | 66 | 2014 |
| Finding local leaf vein patterns for legume characterization and classification MG Larese, PM Granitto Machine Vision and Applications 27 (5), 709-720, 2016 | 29 | 2016 |
| Legume identification by leaf vein images classification MG Larese, RM Craviotto, MR Arango, C Gallo, PM Granitto Progress in Pattern Recognition, Image Analysis, Computer Vision, and …, 2012 | 28 | 2012 |
| Clustering stability for automated color image segmentation AE Bayá, MG Larese, R Namías Expert Systems with Applications 86, 258-273, 2017 | 17 | 2017 |
| Gene set enrichment analysis using non-parametric scores AE Bayá, MG Larese, PM Granitto, JC Gómez, E Tapia Advances in Bioinformatics and Computational Biology: Second Brazilian …, 2007 | 12 | 2007 |
| Clustering using PK-D: A connectivity and density dissimilarity AE Baya, MG Larese, PM Granitto Expert Systems with Applications 51, 151-160, 2016 | 10 | 2016 |
| Spot defects detection in cDNA microarray images MG Larese, PM Granitto, JC Gómez Pattern Analysis and Applications 16, 307-319, 2013 | 6 | 2013 |
| Automatic analysis of microscopic images of red blood cell aggregates PA Menichini, MG Larese, BD Riquelme Biophotonics South America 9531, 340-348, 2015 | 5 | 2015 |
| Hybrid consensus learning for legume species and cultivars classification MG Larese, PM Granitto Computer Vision-ECCV 2014 Workshops: Zurich, Switzerland, September 6-7 and …, 2015 | 4 | 2015 |
| Automatic spot addressing in cDNA microarray images MG Larese, JC Gómez XIII Congreso Argentino de Ciencias de la Computación, 2007 | 4 | 2007 |
| DStab: estimating clustering quality by distance stability AE Bayá, MG Larese Pattern Analysis and Applications 26 (3), 1463-1479, 2023 | 2 | 2023 |
| Pixel sampling by clustering AE Baya, MG Larese Expert Systems with Applications 159, 113576, 2020 | 2 | 2020 |
| Análisis de imágenes para el estudio de soja MG Larese, R Namías, PM Granitto XIII Workshop de Investigadores en Ciencias de la Computación, 2011 | 2 | 2011 |
| Quantitative Improvements in cDNA Microarray Spot Segmentation MG Larese, JC Gómez Advances in Bioinformatics and Computational Biology: 4th Brazilian …, 2009 | 1 | 2009 |
| Grid point analysis for the identification of climatic extremes in the Uruguay River Basin, South America M Larese | 1 | 2005 |
| Clustering validation by distribution hypothesis learning AE Baya, M Larese | | 2023 |
| Image analysis as support for sensory evaluation of food E Aprea, P Granitto, I Endrizzi, M Larese, L Menghi, J Zambanini, ... EuroSense 2018: Eighth European Conference on Sensory and Consumer Research …, 2018 | | 2018 |
