Stegmayer, G.'s publications with sinc(i)

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Publications in 2019
Improving pre-miRNA prediction with complexity measures of the mature and deep learning   sinc_RMS19.pdf
J. Raad, D. H. Milone, G. Stegmayer
A2B2C 10th Meeting - 2019
Metabolic pathways synthesis based on ant colony optimization   sinc_GSM19.pdf
M. Gerard, G. Stegmayer, D. H. Milone
XX Simposio Argentino de Inteligencia Artificial (ASAI). 48 Jornadas Argentinas de Informática (JAIIO) - UNSa - 2019
MicroRNA prediction from genome-wide data with deep learning: a novel approach based on convolutional residual networks   sinc_YBRMS19.pdf
C. Yones, L. A. Bugnon, J. Raad, D. H. Milone, G. Stegmayer
A2B2C 10th Meeting - 2019
 
Publications in 2018
Clustermatch: discovering hidden relations in highly diverse kinds of qualitative and quantitative data without standardization   sinc_PCHCSM18.doi sinc_PCHCSM18.pdf
M. Pividori, A. Cernadas, L. A. Haro, F. Carrari, G. Stegmayer, D. H. Milone
Bioinformatics - 2018
Extreme learning machines for reverse engineering of gene regulatory networks from expression time series   sinc_RMS17.doi sinc_RMS17.pdf
M. Rubiolo, D. H. Milone, G. Stegmayer
Bioinformatics, Volume 34, Number 7, page 1253--1260 - Apr 2018
Inferring unknown biological function byintegration of GO annotations and geneexpression data.   sinc_LBMGS16.doi sinc_LBMGS16.pdf
G. Leale, A Bayá, D. H. Milone, P. Granitto, G. Stegmayer
IEEE/ACM Trans. on Comp. Biology and Bioinformatics, Volume 15, Number 1, page 168--180 - 2018
Metabolic pathways synthesis based on ant colony optimization   sinc_GSM.doi sinc_GSM18.pdf
M. Gerard, G. Stegmayer, D. H. Milone
Scientific Reports, Volume 8, Number 1, page 16398 - 2018
Predicting novel microRNA: a comprehensive comparison of machine learning approaches   sinc_SDRGPYBRRM18.doi sinc_SDRGPYBRRM18.pdf
G. Stegmayer, L. Di Persia, M. Rubiolo, M. Gerard, M. Pividori, C. Yones, L. A. Bugnon, T. Rodriguez, J. Raad, D. H. Milone
Briefings in Bioinformatics - 2018
 
Publications in 2017
Computational prediction of novel miRNAs from genome-wide data   sinc_SYKMM17.doi sinc_SYKMM17.pdf
G. Stegmayer, C. Yones, L. Kamenetzky, N. Macchiaroli, D. H. Milone
Springer New York, page 29--37 - 2017
Extreme learning machine prediction under high class imbalance in bioinformatics   sinc_RDMS17.pdf
T. Rodriguez, L. Di Persia, D. H. Milone, G. Stegmayer
Proceedings de XLIII CLEI - 46 JAIIO - 2017
Genome-wide pre-miRNA discovery from few labeled examples   sinc_YSM17.doi sinc_YSM17.pdf
C. Yones, G. Stegmayer, D. H. Milone
Bioinformatics - 2017
High class-imbalance in pre-miRNA prediction: a novel approach based on deepSOM   SYKM16.doi sinc_SYKM16.pdf
G. Stegmayer, C. Yones, L. Kamenetzky, D. H. Milone
IEEE/ACM Trans. on Comp. Biology and Bioinformatics, Number 6, page 1316--1326 - 2017
Metabolic pathways design guided by bioinspired metaheuristics   sinc_GSM17.pdf
M. Gerard, G. Stegmayer, D. H. Milone
8vo. Congreso Argentino de Bioinformática y Biología Computacional (8CAB2C) - 2017 - 2017
microRNA analysis of Taenia crassiceps cysticerci under praziquantel treatment and genome-wide identification of Taenia solium miRNAs   sinc_PMLCAMSKCR17a.doi sinc_PMLCAMSKCR17a.pdf
M. Perez, N. Macchiaroli, G. Lichtenstein, G. Conti, S. Asurmendi, D. H. Milone, G. Stegmayer, L. Kamenetzky, M Cucher , M. C. Rosenzvit
Int. J. for Parasitology, Volume 47, Number 10--11, page 643--653 - 2017
 
Publications in 2016
A novel approach for highly-diverse multi-omics data fusion applied to tomato germplasm selection   sinc_PSCCCM16a.pdf
M. Pividori, G. Stegmayer, A. Cernadas, M. Conte, F. Carrari, D. H. Milone
4th ISCB-LA Bioinformatics Conference - 2016
A very simple and fast way to access and validate algorithms in reproducible research.   SPM16.doi sinc_SPM16.pdf
G. Stegmayer, M. Pividori, D. H. Milone
Briefings in Bioinformatics., Volume 17, Number 1, page 180--183 - 2016
Automatic extraction of hairpin sequences from genome-wide data   sinc_YSKM16.pdf
C. Yones, G. Stegmayer, L. Kamenetzky, D. H. Milone
4th ISCB-LA Bioinformatics Conference - nov 2016
Bio-inspired metaheuristics for automatic synthesis of novel metabolic pathways   sinc_GSM16b.pdf
M. Gerard, G. Stegmayer, D. H. Milone
4th ISCB-LA Bioinformatics Conference, page 1--2 - 2016
Discovery of novel pre-miRNAs: unsupervised versus supervised machine learning   sinc_SM16.pdf
G. Stegmayer, D. H. Milone
4th ISCB-LA Bioinformatics Conference - 2016
Diversity control for improving the analysis of consensus clustering   sinc_PSM16.doi sinc_PSM16.pdf
M. Pividori, G. Stegmayer, D. H. Milone
Information Sciences - 2016

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