CABRAL, J.B.; LARES, M.; GUROVICH, S.; MINNITI, D.; GRANITTO, P.M.

Drifting features: Detection and evaluation in the context of automatic RR Lyrae identification in the VVV

ASTRONOMY AND ASTROPHYSICS; Año: 2021 vol. 652

CABRAL, J. B.; RAMOS, F.; GUROVICH, S.; GRANITTO, P. M.

Automatic catalog of RR Lyrae from ∼14 million VVV light curves: How far can we go with traditional machine-learning?

ASTRONOMY AND ASTROPHYSICS; Año: 2020 vol. 642

G. LEALE; A. E. BAYÁ; D. H. MILONE; P. M. GRANITTO; G. STEGMAYER

Inferring unknown biological function by integration of GO annotations and gene expression data

IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS; Lugar: Los Alamitos, CA, USA; Año: 2018 vol. 15 p. 168 - 180

UZAL, L.C.; GRINBLAT, G.L.; NAMÍAS, R.; LARESE, M.G.; BIANCHI, J.S.; MORANDI, E.N.; GRANITTO, P.M.

Seed-per-pod estimation for plant breeding using deep learning

COMPUTERS AND ELETRONICS IN AGRICULTURE; Año: 2018 vol. 150 p. 196 - 204

CABRAL, J.B.; SÁNCHEZ, B.; RAMOS, F.; GUROVICH, S.; GRANITTO, P.M.; VANDERPLAS, J.

From FATS to feets: Further improvements to an astronomical feature extraction tool based on machine learning

Astronomy and Computing; Año: 2018 vol. 25 p. 213 - 220

IZETTA, JAVIER; VERDES, PABLO F.; GRANITTO, PABLO M.

Improved multiclass feature selection via list combination

EXPERT SYSTEMS WITH APPLICATIONS; Año: 2017 vol. 88C p. 205 - 216

CABRAL, J.B.; SÁNCHEZ, B.; BEROIZ, M.; DOMÍNGUEZ, M.; LARES, M.; GUROVICH, S.; GRANITTO, P.

Corral framework: Trustworthy and fully functional data intensive parallel astronomical pipelines

Astronomy and Computing; Año: 2017 vol. 20 p. 140 - 154

M. G. LARESE; P. M. GRANITTO

Finding local leaf vein patterns for legume characterization and classification

MACHINE VISION AND APPLICATIONS; Lugar: Berlin; Año: 2016 vol. 27 p. 709 - 720

S. YENER; J. SÁNCHEZ-LOPEZ; P. M. GRANITTO; L. CAPPELLIN; T. D. MARK; R. ZIMMERMAN; G. BONN; C. YERETZIAN; F. BIASIOLI

Rapid and direct volatile compound profiling of black and green teas (Camellia sinensis) from different countries with PTR-ToF-MS

TALANTA; Lugar: Amsterdam; Año: 2016 vol. 152 p. 45 - 53

A. E. BAYÁ; M. G. LARESE; P. M. GRANITTO

Clustering using PK-D: a Connectivity and Density Dissimilarity

EXPERT SYSTEMS WITH APPLICATIONS; Lugar: Amsterdam; Año: 2016 vol. 51 p. 151 - 160

G.L. GRINBLAT; L.C. UZAL; M. G. LARESE; P. M. GRANITTO

Deep learning for plant identification using vein morphological patterns

COMPUTERS AND ELETRONICS IN AGRICULTURE; Lugar: Amsterdam; Año: 2016 vol. 127 p. 418 - 424

S. YENER; A. ROMANO; L. CAPPELLIN; P. M. GRANITTO; E. APREA; L. NAVARINI; T. D. MARK; F. GASPERI; F. BIASIOLI

Tracing coffee origin by direct injection headspace analysis with PTR/SRI-MS

FOOD RESEARCH INTERNATIONAL; Lugar: Amsterdam; Año: 2015 vol. 69 p. 235 - 243

G.L. GRINBLAT; L.C. UZAL; P. F. VERDES; P. M. GRANITTO

Nonstationary regression with Support Vector Machines

NEURAL COMPUTING AND APPLICATIONS; Lugar: Berlin; Año: 2015 vol. 26 p. 641 - 649

M. G. LARESE; R. NAMÍAS; R. M. CRAVIOTTO; M. R. ARANGO; C. GALLO; P. M. GRANITTO

Automatic classification of legumes using leaf vein image features

PATTERN RECOGNITION; Lugar: Amsterdam; Año: 2014 vol. 47 p. 158 - 168

M. G. LARESE; A. E. BAYÁ; R. M. CRAVIOTTO; M. R. ARANGO; C. GALLO; P. M. GRANITTO

Multiscale recognition of legume varieties based on leaf venation images

EXPERT SYSTEMS WITH APPLICATIONS; Lugar: Amsterdam; Año: 2014 vol. 41 p. 4638 - 4647

M. G. LARESE; P. M. GRANITTO; J. C. GÓMEZ

Spot defects detection in cDNA microarray images,

PATTERN ANALYSIS AND APPLICATIONS; Año: 2013 vol. 16 p. 307 - 319

G.L. GRINBLAT; L.C. UZAL; P. M. GRANITTO

Abrupt Change Detection with One-Class Time-Adaptive Support Vector Machines

EXPERT SYSTEMS WITH APPLICATIONS; Lugar: Amsterdam; Año: 2013 vol. 40 p. 7242 - 7249

A. E. BAYÁ; P. M. GRANITTO

How many Clusters: A Validation Index for arbitrary shaped clusters

IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS; Lugar: Los Alamitos, CA, USA; Año: 2013 vol. 10 p. 401 - 414

L. CAPPELLIN; E. APREA; P. M. GRANITTO; A. ROMANO; F. GASPERI; F. BIASIOLI

Multiclass methods in the analysis of metabolomic datasets: the example of raspberry cultivar volatile compounds detected by GC-MS and PTR-MS

FOOD RESEARCH INTERNATIONAL; Lugar: Amsterdam; Año: 2013 vol. 54 p. 1313 - 1320

J. SANCHEZ DEL PULGAR; C, SOUKOULIS; A.I. CARRAPISO; L. CAPPELLIN; P. M. GRANITTO; E. APREA; A. ROMANO; F. GASPERI; F. BIASIOLI

Effect of the pig rearing system on the final volatile profile of Iberian dry-cured ham as detected by PTR-ToF-MS

MEAT SCIENCE; Lugar: Amsterdam; Año: 2013 vol. 93 p. 420 - 428

L. CAPPELLIN; C. SOUKOULIS; E. APREA; P. M. GRANITTO; N. DALLABETTA; F. COSTA; T. D. MARK; F. GASPERI; F. BIASIOLI

PTR-ToF-MS and data mining methods: a new tool for fruit metabolomics

METABOLOMICS; Año: 2012 vol. 8 p. 761 - 770

L. CAPPELLIN; E. APREA; P. M. GRANITTO; R. WEHRENS; C. SOUKOULIS; R. VIOLA; T. D. MARK; F. GASPERI; F. BIASIOLI

Linking GC-MS and PTR-TOF-MS fingerprints of food samples

CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS; Lugar: Amsterdam; Año: 2012 vol. 118 p. 301 - 307

G.L. GRINBLAT; L.C. UZAL; H. A. CECCATTO; P. M. GRANITTO

Solving Non-Stationary Classification Problems with Coupled Support Vector Machines

IEEE TRANSACTIONS ON NEURAL NETWORKS; Año: 2011 vol. 22 p. 37 - 51

L. CAPPELLIN; F. BIASIOLI; P. M. GRANITTO; E. SCHUHFRIED; C. SOUKOULIS; F. COSTA; T. D. MARK; F. GASPERI

On data analysis in PTR-TOF-MS: From raw spectra to data mining

SENSORS AND ACTUATORS B-CHEMICAL; Año: 2011 p. 183 - 190

A. E. BAYÁ; P. M. GRANITTO

Clustering gene expression data with a penalized graph-based metric

BMC BIOINFORMATICS; Año: 2011 vol. 12 p. 2 - 2

J. SÁNCHEZ DEL PULGAR; C. SOUKOULIS; F. BIASIOLI; L. CAPPELLIN; C. GARCÍA; F. GASPERI; P. M. GRANITTO; T. D. MARK; E. PIASENTIER; E. SCHUHFRIED

Rapid characterization of dry cured ham produced following different PDOs by proton transfer reaction time of flight mass spectrometry (PTR-ToF-MS)

TALANTA; Año: 2011 p. 386 - 393

H. AHUMADA; G.L. GRINBLAT; L.C. UZAL; H. A. CECCATTO; P. M. GRANITTO

Evaluation of a new hybrid algorithm for highly imbalanced classification problems

The International Journal of Hybrid Intelligent Systems (IJHIS); Año: 2011 vol. 8 p. 199 - 211

A. FABRIS; F. BIASIOLI; P. M. GRANITTO; E. APREA; L. CAPPELLIN; E. SCHUHFRIED; C. SOUKOULIS; T. D. MARK; F. GASPERI; I. ENDRIZZI

PTR-TOF-MS and data mining methods for rapid characterization of agroindustrial samples: influence of milk storage conditions on the volatile compounds profile of Trentingrana cheese

JOURNAL OF MASS SPECTROMETRY; Año: 2010 vol. 45 p. 1065 - 1074

P. M. GRANITTO; A. BURGOS

Feature selection on wide multiclass problems using OVA-RFE

INTELIGENCIA ARTIFICIAL. IBERO-AMERICAN JOURNAL OF ARTIFICIAL INTELLIGENCE; Año: 2009 vol. 13 p. 27 - 34

A. E. BAYÁ; P. M. GRANITTO

ISOMAP based metrics for clustering

INTELIGENCIA ARTIFICIAL. IBERO-AMERICAN JOURNAL OF ARTIFICIAL INTELLIGENCE; Año: 2008 vol. 37 p. 15 - 23

G.L. GRINBLAT; P. M. GRANITTO; H. A. CECCATTO

Time-adaptive Support Vector Machines

INTELIGENCIA ARTIFICIAL. IBERO-AMERICAN JOURNAL OF ARTIFICIAL INTELLIGENCE; Año: 2008 vol. 12 p. 39 - 50

P. M. GRANITTO; F. BIASIOLI; I. ENDRIZZI; F. GASPERI

Discriminant models based on sensory evaluations: single assessors versus panel average

FOOD QUALITY AND PREFERENCE; Año: 2008 vol. 19 p. 589 - 595

E. ECCEL; L. GHIELMI; P. M. GRANITTO; R. BARBIERO; D. CESARI

TECNICHE DI POST-ELABORAZIONE DI PREVISIONE DI TEMPERATURA MINIMA A CONFRONTO PER UN’AREA ALPINA

Italian Journal of Agrometeorology; Lugar: Firenze; Año: 2008 vol. 13 p. 38 - 44

P. M. GRANITTO; F. GASPERI; F. BIASIOLI; E. TRAINOTTI; C. FURLANELLO

Modern data mining tools in descriptive sensory analysis: a case study with a Random Forest approach

FOOD QUALITY AND PREFERENCE; Año: 2007 vol. 18 p. 681 - 687

P. M. GRANITTO; F. BIASIOLI; E. APREA; D. MOTT; C. FURLANELLO; T. D. MARK; F. GASPERI

Rapid and non-destructive identification of strawberry cultivars by direct PTR-MS headspace analysis and data mining techniques

SENSORS AND ACTUATORS B-CHEMICAL; Año: 2007 vol. 121 p. 379 - 385

P. F. VERDES; P. M. GRANITTO; M. I. SZELIGA; A. REBOLA; H. A. CECCATTO

Prediction of the CATS benchmark exploiting time-reversal symmetry

NEUROCOMPUTING; Año: 2007 vol. 70 p. 2363 - 2370

E. ECCEL; L. GHIELMI; P. M. GRANITTO; R. BARBIERO; F. GRAZZINI; D. CESARI

Prediction of minimum temperatures in an alpine region by linear and non-linear post-processing of meteorological models

NONLINEAR PROCESSES IN GEOPHYSICS; Año: 2007 vol. 14 p. 211 - 222

P. F. VERDES; P. M. GRANITTO; H. A. CECCATTO

Overembedding Method for Modeling Nonstationary Systems

PHYSICAL REVIEW LETTERS; Año: 2006 vol. 96 p. 118701 - 118704

P. M. GRANITTO; C. FURLANELLO; F. BIASIOLI; F. GASPERI

Recursive feature elimination with Random Forest for PTR-MS analysis of agroindustrial products

CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS; Año: 2006 vol. 83 p. 83 - 90

P. M. GRANITTO; P. F. VERDES; H. A. CECCATTO

Neural network ensembles: evaluation of aggregation algorithms

ARTIFICIAL INTELLIGENCE; Año: 2005 vol. 163 p. 139 - 162

P. M. GRANITTO; P. F. VERDES; H. A. CECCATTO

Large Scale Investigation of Weed Seeds Identification by Machine Vision Techniques

COMPUTERS AND ELETRONICS IN AGRICULTURE; Lugar: Amsterdam; Año: 2005 vol. 47 p. 15 - 24

P. M. GRANITTO; H. D. NAVONE; P. F. VERDES; H. A. CECCATTO

Weed seeds identification by machine vision

COMPUTERS AND ELETRONICS IN AGRICULTURE; Año: 2002 p. 91 - 103

P. F. VERDES; P. M. GRANITTO; H. D. NAVONE; H. A. CECCATTO

Nonstationary Time-Series Analysis: Accurate Reconstruction of Driving Forces

PHYSICAL REVIEW LETTERS; Lugar: New York; Año: 2001 vol. 87 p. 124101 - 124101

P. M. GRANITTO; P. F. VERDES; H. D. NAVONE; H. A. CECCATTO

A Late-Stopping Method for Optimal Aggregation of Neural Networks

INTERNATIONAL JOURNAL OF NEURAL SYSTEMS.; Lugar: London, UK; Año: 2001 vol. 12 p. 305 - 310