Pablo M. Granitto

48 papers B 1C 3Journal 33Unranked 11

Year	Rank	Type	Title / Venue / Authors
2021	J	`jnl`	Drifting Features: Detection and evaluation in the context of automatic RRLs identification in VVV. CoRR Juan B. Cabral, Marcelo Lares, Sebastián Gurovich, D. Minniti, Pablo M. Granitto
2020	J	`jnl`	Automatic Catalog of RRLyrae from ~ 14 million VVV Light Curves: How far can we go with traditional machine-learning? CoRR Juan B. Cabral, Felipe Ramos, Sebastián Gurovich, Pablo M. Granitto
2018	J	`jnl`	From FATS to feets: Further improvements to an astronomical feature extraction tool based on machine learning. Astron. Comput. Juan B. Cabral, Bruno Sánchez, Felipe Ramos, Sebastián Gurovich, Pablo M. Granitto, Jacob VanderPlas
2018	J	`jnl`	From FATS to feets: Further improvements to an astronomical feature extraction tool based on machine learning. CoRR Juan B. Cabral, Bruno Sánchez, Felipe Ramos, Sebastián Gurovich, Pablo M. Granitto, Jacob VanderPlas
2018	J	`jnl`	Inferring Unknown Biological Function by Integration of GO Annotations and Gene Expression Data. IEEE ACM Trans. Comput. Biol. Bioinform. Guillermo Leale, Ariel E. Bayá, Diego H. Milone, Pablo M. Granitto, Georgina Stegmayer
2018	J	`jnl`	Seed-per-pod estimation for plant breeding using deep learning. Comput. Electron. Agric. Lucas C. Uzal, Guillermo L. Grinblat, Rafael Namías, Mónica G. Larese, Stefano Bianchi, Eligio N. Morandi, Pablo M. Granitto
2017	J	`jnl`	Class-Splitting Generative Adversarial Networks. CoRR Guillermo L. Grinblat, Lucas C. Uzal, Pablo M. Granitto
2017	J	`jnl`	Corral Framework: Trustworthy and Fully Functional Data Intensive Parallel Astronomical Pipelines. CoRR Juan B. Cabral, Bruno Sánchez, Martin Beroiz, Mariano Domínguez, Marcelo Lares, Sebastián Gurovich, Pablo M. Granitto
2017	J	`jnl`	Corral framework: Trustworthy and fully functional data intensive parallel astronomical pipelines. Astron. Comput. Juan B. Cabral, Bruno Sánchez, Martin Beroiz, Mariano Domínguez, Marcelo Lares, Sebastián Gurovich, Pablo M. Granitto
2017	J	`jnl`	Improved multiclass feature selection via list combination. Expert Syst. Appl. Javier Izetta, Pablo F. Verdes, Pablo M. Granitto
2016	J	`jnl`	Clustering using PK-D: A connectivity and density dissimilarity. Expert Syst. Appl. Ariel E. Bayá, Mónica G. Larese, Pablo M. Granitto
2016	J	`jnl`	Deep learning for plant identification using vein morphological patterns. Comput. Electron. Agric. Guillermo L. Grinblat, Lucas C. Uzal, Mónica G. Larese, Pablo M. Granitto
2016	J	`jnl`	Finding local leaf vein patterns for legume characterization and classification. Mach. Vis. Appl. Mónica G. Larese, Pablo M. Granitto
2016	J	`jnl`	Inferring unknown biological function by integration of GO annotations and gene expression data. CoRR Guillermo L. Grinblat, Ariel E. Bayá, Diego H. Milone, Pablo M. Granitto, Georgina Stegmayer
2015	J	`jnl`	Nonstationary regression with support vector machines. Neural Comput. Appl. Guillermo L. Grinblat, Lucas C. Uzal, Pablo F. Verdes, Pablo M. Granitto
2014	J	`jnl`	Automatic classification of legumes using leaf vein image features. Pattern Recognit. Mónica G. Larese, Rafael Namías, Roque M. Craviotto, Miriam R. Arango, Carina Gallo, Pablo M. Granitto
2014	—	`conf`	Hybrid Consensus Learning for Legume Species and Cultivars Classification. ECCV Workshops (4) Mónica G. Larese, Pablo M. Granitto
2014	J	`jnl`	Multiscale recognition of legume varieties based on leaf venation images. Expert Syst. Appl. Mónica G. Larese, Ariel E. Bayá, Roque M. Craviotto, Miriam R. Arango, Carina Gallo, Pablo M. Granitto
2013	J	`jnl`	Abrupt change detection with One-Class Time-Adaptive Support Vector Machines. Expert Syst. Appl. Guillermo L. Grinblat, Lucas C. Uzal, Pablo M. Granitto
2013	J	`jnl`	How Many Clusters: A Validation Index for Arbitrary-Shaped Clusters. IEEE ACM Trans. Comput. Biol. Bioinform. Ariel E. Bayá, Pablo M. Granitto
2013	J	`jnl`	Spot defects detection in cDNA microarray images. Pattern Anal. Appl. Mónica G. Larese, Pablo M. Granitto, Juan C. Gómez
2012	C	`conf`	A Simple Hybrid Method for Semi-Supervised Learning. CIARP Hernán Ahumada, Pablo M. Granitto
2012	C	`conf`	Legume Identification by Leaf Vein Images Classification. CIARP Mónica G. Larese, Roque M. Craviotto, Miriam R. Arango, Carina Gallo, Pablo M. Granitto
2011	J	`jnl`	Clustering gene expression data with a penalized graph-based metric. BMC Bioinform. Ariel E. Bayá, Pablo M. Granitto
2011	J	`jnl`	Evaluation of a new hybrid algorithm for highly imbalanced classification problems. Int. J. Hybrid Intell. Syst. Hernán Ahumada, Guillermo L. Grinblat, Lucas C. Uzal, H. Alejandro Ceccatto, Pablo M. Granitto
2011	—	`conf`	Improved Gene Expression Clustering with the Parameter-Free PKNNG Metric. BSB Ariel E. Bayá, Pablo M. Granitto
2011	J	`jnl`	Solving Nonstationary Classification Problems With Coupled Support Vector Machines. IEEE Trans. Neural Networks Guillermo L. Grinblat, Lucas C. Uzal, H. Alejandro Ceccatto, Pablo M. Granitto
2011	—	`conf`	Unsupervized Data-Driven Partitioning of Multiclass Problems. ICANN (1) Hernán Ahumada, Guillermo L. Grinblat, Pablo M. Granitto
2010	—	`conf`	Improved Graph-Based Metrics for Clustering High-Dimensional Datasets. IBERAMIA Ariel E. Bayá, Pablo M. Granitto
2010	—	`conf`	Learning to Discover Faulty Spots in cDNA Microarrays. IBERAMIA Mónica G. Larese, Pablo M. Granitto, Juan C. Gómez
2010	J	`jnl`	Penalized K-Nearest-Neighbor-Graph Based Metrics for Clustering CoRR Ariel E. Bayá, Pablo M. Granitto
2010	—	`conf`	SVM Based Feature Selection: Why Are We Using the Dual? IBERAMIA Guillermo L. Grinblat, Javier Izetta, Pablo M. Granitto
2009	J	`jnl`	Feature selection on wide multiclass problems using OVA-RFE. Inteligencia Artif. Pablo M. Granitto, Andrés Burgos
2008	—	`conf`	Efficient Feature Selection for PTR-MS Fingerprinting of Agroindustrial Products. ICANN (2) Pablo M. Granitto, Franco Biasioli, Cesare Furlanello, Flavia Gasperi
2008	J	`jnl`	ISOMAP based metrics for clustering. Inteligencia Artif. Ariel E. Bayá, Pablo M. Granitto
2008	C	`conf`	REPMAC: A New Hybrid Approach to Highly Imbalanced Classification Problems. HIS Hernán Ahumada, Guillermo L. Grinblat, Lucas C. Uzal, Pablo M. Granitto, H. Alejandro Ceccatto
2008	J	`jnl`	Time-Adaptive Support Vector Machines. Inteligencia Artif. Guillermo L. Grinblat, Pablo M. Granitto, H. Alejandro Ceccatto
2007	—	`conf`	Gene Set Enrichment Analysis Using Non-parametric Scores. BSB Ariel E. Bayá, Mónica G. Larese, Pablo M. Granitto, Juan Carlos Gomez, Elizabeth Tapia
2007	J	`jnl`	Symmetric-embedding prediction of the CATS benchmark. Neurocomputing Pablo F. Verdes, Pablo M. Granitto, María I. Széliga, Alejandro Rébola, H. Alejandro Ceccatto
2005	J	`jnl`	Neural network ensembles: Evaluation of aggregation algorithms CoRR Pablo M. Granitto, Pablo F. Verdes, H. Alejandro Ceccatto
2005	J	`jnl`	Neural network ensembles: evaluation of aggregation algorithms. Artif. Intell. Pablo M. Granitto, Pablo F. Verdes, H. Alejandro Ceccatto
2004	B	`conf`	Prediction of the CATS benchmark exploiting time-reversal symmetry. IJCNN Pablo F. Verdes, Pablo M. Granitto, María I. Széliga, Alejandro Rébola, H. Alejandro Ceccatto
2003	J	`jnl`	Artificial Neural Network Learning of Nonstationary Behavior in Time Series. Int. J. Neural Syst. María I. Széliga, Pablo F. Verdes, Pablo M. Granitto, H. Alejandro Ceccatto
2002	—	`conf`	Aggregation Algorithms for Neural Network Ensemble Construction . SBRN Pablo M. Granitto, Pablo F. Verdes, Hugo D. Navone, H. Alejandro Ceccatto
2002	—	`conf`	Extracting Driving Signals from Non-Stationary Time Series. SBRN María I. Széliga, Pablo F. Verdes, Pablo M. Granitto, H. Alejandro Ceccatto
2001	J	`jnl`	A Late-Stopping Method for Optimal Aggregation of Neural Networks. Int. J. Neural Syst. Pablo M. Granitto, Pablo F. Verdes, Hugo D. Navone, H. Alejandro Ceccatto
2001	J	`jnl`	A Learning Algorithm For Neural Network Ensembles. Inteligencia Artif. Hugo D. Navone, Pablo M. Granitto, Pablo F. Verdes, H. Alejandro Ceccatto
2000	—	`conf`	Selecting Diverse Members of Neural Network Ensembles. SBRN Hugo D. Navone, Pablo F. Verdes, Pablo M. Granitto, H. Alejandro Ceccatto