Georgina Stegmayer
Georgina Stegmayer
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Cited by
Cited by
Automatic recognition of quarantine citrus diseases
G Stegmayer, DH Milone, S Garran, L Burdyn
Expert systems with applications 40 (9), 3512-3517, 2013
A neural network model for estimating the particle size distribution of dilute latex from multiangle dynamic light scattering measurements
LM Gugliotta, GS Stegmayer, LA Clementi, VDG Gonzalez, RJ Minari, ...
Particle & Particle Systems Characterization 26 (1‐2), 41-52, 2009
Knowledge discovery through ontology matching: An approach based on an Artificial Neural Network model
M Rubiolo, ML Caliusco, G Stegmayer, M Coronel, MG Fabrizi
Information Sciences 194, 107-119, 2012
Predicting novel microRNA: a comprehensive comparison of machine learning approaches
G Stegmayer, LE Di Persia, M Rubiolo, M Gerard, M Pividori, C Yones, ...
Briefings in bioinformatics 20 (5), 1607-1620, 2019
Deep neural architectures for highly imbalanced data in bioinformatics
LA Bugnon, C Yones, DH Milone, G Stegmayer
IEEE Transactions on Neural Networks and Learning Systems 31 (8), 2857-2867, 2019
* omeSOM: a software for clustering and visualization of transcriptional and metabolite data mined from interspecific crosses of crop plants
DH Milone, GS Stegmayer, L Kamenetzky, M López, JM Lee, ...
BMC bioinformatics 11, 1-10, 2010
High class-imbalance in pre-miRNA prediction: a novel approach based on deepSOM
G Stegmayer, C Yones, L Kamenetzky, DH Milone
IEEE/ACM transactions on computational biology and bioinformatics 14 (6 …, 2016
Towards a Volterra series representation from a Neural Network model
G Stegmayer, M Pirola, G Orengo, O Chiotti
WSEAS Transactions on Systems 3 (2), 432-437, 2004
Extreme learning machines for reverse engineering of gene regulatory networks from expression time series
M Rubiolo, DH Milone, G Stegmayer
Bioinformatics 34 (7), 1253-1260, 2018
miRNAfe: a comprehensive tool for feature extraction in microRNA prediction
CA Yones, G Stegmayer, L Kamenetzky, DH Milone
Biosystems 138, 1-5, 2015
Metabolic analyses of interspecific tomato recombinant inbred lines for fruit quality improvement
MG López, MI Zanor, GR Pratta, G Stegmayer, SB Boggio, M Conte, ...
Metabolomics 11, 1416-1431, 2015
A new index for clustering validation with overlapped clusters
DN Campo, G Stegmayer, DH Milone
Expert Systems with Applications 64, 549-556, 2016
Volterra series and neural networks to model an electronic device nonlinear behavior
G Stegmayer
2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No …, 2004
Alternative use of miRNA-biogenesis co-factors in plants at low temperatures
DA Ré, PLM Lang, C Yones, AL Arce, G Stegmayer, D Milone, ...
Development 146 (5), dev172932, 2019
Novel SARS-CoV-2 encoded small RNAs in the passage to humans
GA Merino, J Raad, LA Bugnon, C Yones, L Kamenetzky, J Claus, F Ariel, ...
Bioinformatics 36 (24), 5571-5581, 2020
Data mining over biological datasets: An integrated approach based on computational intelligence
G Stegmayer, M Gerard, DH Milone
IEEE Computational Intelligence Magazine 7 (4), 22-34, 2012
Semantic web technologies and artificial neural networks for intelligent web knowledge source discovery
ML Caliusco, G Stegmayer
Emergent web intelligence: Advanced semantic technologies, 17-36, 2010
Diversity control for improving the analysis of consensus clustering
M Pividori, G Stegmayer, DH Milone
Information Sciences 361, 120-134, 2016
Genome-wide pre-miRNA discovery from few labeled examples
C Yones, G Stegmayer, DH Milone
Bioinformatics 34 (4), 541-549, 2018
microRNA analysis of Taenia crassiceps cysticerci under praziquantel treatment and genome-wide identification of Taenia solium miRNAs
MG Pérez, N Macchiaroli, G Lichtenstein, G Conti, S Asurmendi, ...
International journal for parasitology 47 (10-11), 643-653, 2017
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