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ORCIDPablo M. Granitto
Person information
- affiliation: Centro Internacional Franco Argentino de Ciencias de la Información y de Sistemas, Rosario, Argentina
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2020 – today
- 2021
[i8]Juan B. Cabral
, Marcelo Lares, Sebastián Gurovich, D. Minniti, Pablo M. Granitto:
Drifting Features: Detection and evaluation in the context of automatic RRLs identification in VVV. CoRR abs/2105.01714 (2021)- 2020
- [i7]Juan B. Cabral, Felipe Ramos, Sebastián Gurovich, Pablo M. Granitto:
Automatic Catalog of RRLyrae from ~ 14 million VVV Light Curves: How far can we go with traditional machine-learning? CoRR abs/2005.00220 (2020)
2010 – 2019
- 2018
- [j25]Juan B. Cabral, Bruno Sánchez, Felipe Ramos, Sebastián Gurovich, Pablo M. Granitto, Jacob VanderPlas:
From FATS to feets: Further improvements to an astronomical feature extraction tool based on machine learning. Astron. Comput. 25: 213-220 (2018) - [j24]Lucas C. Uzal, Guillermo L. Grinblat, Rafael Namías, Mónica G. Larese, Stefano Bianchi, E. N. Morandi, Pablo M. Granitto:
Seed-per-pod estimation for plant breeding using deep learning. Comput. Electron. Agric. 150: 196-204 (2018) - [j23]Guillermo Leale, Ariel E. Bayá, Diego H. Milone, Pablo M. Granitto, Georgina Stegmayer:
Inferring Unknown Biological Function by Integration of GO Annotations and Gene Expression Data. IEEE ACM Trans. Comput. Biol. Bioinform. 15(1): 168-180 (2018) - [i6]Juan B. Cabral, Bruno Sánchez, Felipe Ramos, Sebastián Gurovich, Pablo M. Granitto, Jacob VanderPlas:
From FATS to feets: Further improvements to an astronomical feature extraction tool based on machine learning. CoRR abs/1809.02154 (2018) - 2017
- [j22]Juan B. Cabral, Bruno Sánchez, Martin Beroiz, Mariano Domínguez, Marcelo Lares, Sebastián Gurovich, Pablo M. Granitto:
Corral framework: Trustworthy and fully functional data intensive parallel astronomical pipelines. Astron. Comput. 20: 140-154 (2017) - [j21]Javier Izetta, Pablo F. Verdes, Pablo M. Granitto:
Improved multiclass feature selection via list combination. Expert Syst. Appl. 88: 205-216 (2017) - [i5]Juan B. Cabral, Bruno Sánchez, Martin Beroiz, Mariano Domínguez, Marcelo Lares, Sebastián Gurovich, Pablo M. Granitto:
Corral Framework: Trustworthy and Fully Functional Data Intensive Parallel Astronomical Pipelines. CoRR abs/1701.05566 (2017) - [i4]Guillermo L. Grinblat, Lucas C. Uzal, Pablo M. Granitto:
Class-Splitting Generative Adversarial Networks. CoRR abs/1709.07359 (2017) - 2016
- [j20]Guillermo L. Grinblat, Lucas C. Uzal, Mónica G. Larese, Pablo M. Granitto:
Deep learning for plant identification using vein morphological patterns. Comput. Electron. Agric. 127: 418-424 (2016) - [j19]Ariel E. Bayá, Mónica G. Larese, Pablo M. Granitto:
Clustering using PK-D: A connectivity and density dissimilarity. Expert Syst. Appl. 51: 151-160 (2016) - [j18]Mónica G. Larese, Pablo M. Granitto:
Finding local leaf vein patterns for legume characterization and classification. Mach. Vis. Appl. 27(5): 709-720 (2016) - [i3]Guillermo L. Grinblat, Ariel E. Bayá, Diego H. Milone, Pablo M. Granitto, Georgina Stegmayer:
Inferring unknown biological function by integration of GO annotations and gene expression data. CoRR abs/1608.03672 (2016) - 2015
- [j17]Guillermo L. Grinblat, Lucas C. Uzal, Pablo F. Verdes, Pablo M. Granitto:
Nonstationary regression with support vector machines. Neural Comput. Appl. 26(3): 641-649 (2015) - 2014
- [j16]Mónica G. Larese, Ariel E. Bayá, Roque M. Craviotto, Miriam R. Arango, Carina Gallo, Pablo M. Granitto:
Multiscale recognition of legume varieties based on leaf venation images. Expert Syst. Appl. 41(10): 4638-4647 (2014) - [j15]Mónica G. Larese, Rafael Namías, Roque M. Craviotto, Miriam R. Arango, Carina Gallo, Pablo M. Granitto:
Automatic classification of legumes using leaf vein image features. Pattern Recognit. 47(1): 158-168 (2014) - [c14]Mónica G. Larese, Pablo M. Granitto:
Hybrid Consensus Learning for Legume Species and Cultivars Classification. ECCV Workshops (4) 2014: 201-214 - 2013
- [j14]Guillermo L. Grinblat, Lucas C. Uzal, Pablo M. Granitto:
Abrupt change detection with One-Class Time-Adaptive Support Vector Machines. Expert Syst. Appl. 40(18): 7242-7249 (2013) - [j13]Mónica G. Larese, Pablo M. Granitto, Juan C. Gómez:
Spot defects detection in cDNA microarray images. Pattern Anal. Appl. 16(3): 307-319 (2013) - [j12]Ariel E. Bayá, Pablo M. Granitto:
How Many Clusters: A Validation Index for Arbitrary-Shaped Clusters. IEEE ACM Trans. Comput. Biol. Bioinform. 10(2): 401-414 (2013) - 2012
- [c13]Hernán Ahumada, Pablo M. Granitto:
A Simple Hybrid Method for Semi-Supervised Learning. CIARP 2012: 138-145 - [c12]Mónica G. Larese, Roque M. Craviotto, Miriam R. Arango, Carina Gallo, Pablo M. Granitto:
Legume Identification by Leaf Vein Images Classification. CIARP 2012: 447-454 - 2011
- [j11]Ariel E. Bayá, Pablo M. Granitto:
Clustering gene expression data with a penalized graph-based metric. BMC Bioinform. 12: 2 (2011) - [j10]Hernán Ahumada, Guillermo L. Grinblat, Lucas C. Uzal, H. Alejandro Ceccatto, Pablo M. Granitto:
Evaluation of a new hybrid algorithm for highly imbalanced classification problems. Int. J. Hybrid Intell. Syst. 8(4): 199-211 (2011) - [j9]Guillermo L. Grinblat, Lucas C. Uzal, H. Alejandro Ceccatto, Pablo M. Granitto:
Solving Nonstationary Classification Problems With Coupled Support Vector Machines. IEEE Trans. Neural Networks 22(1): 37-51 (2011) - [c11]Hernán Ahumada, Guillermo L. Grinblat, Pablo M. Granitto:
Unsupervized Data-Driven Partitioning of Multiclass Problems. ICANN (1) 2011: 117-125 - [c10]Ariel E. Bayá, Pablo M. Granitto:
Improved Gene Expression Clustering with the Parameter-Free PKNNG Metric. BSB 2011: 50-57 - 2010
- [c9]Ariel E. Bayá, Pablo M. Granitto:
Improved Graph-Based Metrics for Clustering High-Dimensional Datasets. IBERAMIA 2010: 184-193 - [c8]Mónica G. Larese, Pablo M. Granitto, Juan C. Gómez:
Learning to Discover Faulty Spots in cDNA Microarrays. IBERAMIA 2010: 224-233 - [c7]Guillermo L. Grinblat, Javier Izetta, Pablo M. Granitto:
SVM Based Feature Selection: Why Are We Using the Dual? IBERAMIA 2010: 413-422 - [i2]Ariel E. Bayá, Pablo M. Granitto:
Penalized K-Nearest-Neighbor-Graph Based Metrics for Clustering. CoRR abs/1006.2734 (2010)
2000 – 2009
- 2009
- [j8]Pablo M. Granitto, Andrés Burgos:
Feature selection on wide multiclass problems using OVA-RFE. Inteligencia Artif. 13(44): 27-34 (2009) - 2008
- [j7]Ariel E. Bayá, Pablo M. Granitto:
ISOMAP based metrics for clustering. Inteligencia Artif. 12(37): 15-23 (2008) - [j6]Guillermo L. Grinblat, Pablo M. Granitto, H. Alejandro Ceccatto:
Time-Adaptive Support Vector Machines. Inteligencia Artif. 12(40): 39-50 (2008) - [c6]Hernán Ahumada, Guillermo L. Grinblat, Lucas C. Uzal, Pablo M. Granitto, H. Alejandro Ceccatto:
REPMAC: A New Hybrid Approach to Highly Imbalanced Classification Problems. HIS 2008: 386-391 - [c5]Pablo M. Granitto, Franco Biasioli, Cesare Furlanello, Flavia Gasperi:
Efficient Feature Selection for PTR-MS Fingerprinting of Agroindustrial Products. ICANN (2) 2008: 42-51 - 2007
- [j5]Pablo F. Verdes, Pablo M. Granitto, María I. Széliga, A. Rébola, H. Alejandro Ceccatto:
Symmetric-embedding prediction of the CATS benchmark. Neurocomputing 70(13-15): 2363-2370 (2007) - [c4]Ariel E. Bayá, Mónica G. Larese, Pablo M. Granitto, Juan Carlos Gomez, Elizabeth Tapia:
Gene Set Enrichment Analysis Using Non-parametric Scores. BSB 2007: 12-21 - 2005
- [j4]Pablo M. Granitto, Pablo F. Verdes, H. Alejandro Ceccatto:
Neural network ensembles: evaluation of aggregation algorithms. Artif. Intell. 163(2): 139-162 (2005) - [i1]Pablo M. Granitto, Pablo F. Verdes, H. Alejandro Ceccatto:
Neural network ensembles: Evaluation of aggregation algorithms. CoRR abs/cs/0502006 (2005) - 2003
- [j3]María I. Széliga, Pablo F. Verdes, Pablo M. Granitto, H. Alejandro Ceccatto:
Artificial Neural Network Learning of Nonstationary Behavior in Time Series. Int. J. Neural Syst. 13(2): 103-109 (2003) - 2002
- [c3]María I. Széliga, Pablo F. Verdes, Pablo M. Granitto, H. Alejandro Ceccatto:
Extracting Driving Signals from Non-Stationary Time Series. SBRN 2002: 104-109 - [c2]Pablo M. Granitto, Pablo F. Verdes, Hugo D. Navone, H. Alejandro Ceccatto:
Aggregation Algorithms for Neural Network Ensemble Construction . SBRN 2002: 178-183 - 2001
- [j2]Hugo D. Navone, Pablo M. Granitto, Pablo F. Verdes, H. Alejandro Ceccatto:
A Learning Algorithm For Neural Network Ensembles. Inteligencia Artif. 5(12): 70-74 (2001) - [j1]Pablo M. Granitto, Pablo F. Verdes, Hugo D. Navone, H. Alejandro Ceccatto:
A Late-Stopping Method for Optimal Aggregation of Neural Networks. Int. J. Neural Syst. 11(3): 305-310 (2001) - 2000
- [c1]Hugo D. Navone, Pablo F. Verdes, Pablo M. Granitto, H. Alejandro Ceccatto:
Selecting Diverse Members of Neural Network Ensembles. SBRN 2000: 255-260
Coauthor Index
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