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

  • 88 publications
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Publications in 2023
Transfer learning: The key to functionally annotate the protein universe   sinc_BFERSM23.doi sinc_BFERSM23.pdf
L. A. Bugnon, E. Fenoy, A. Edera, J. Raad, G. Stegmayer, D. H. Milone
Patterns - 2023
 
Publications in 2022
Anc2vec: embedding gene ontology terms by preserving ancestors relationships   sinc_EMS22.doi sinc_EMS22.pdf
A. Edera, D. H. Milone, G. Stegmayer
Briefings in Bioinformatics - feb 2022
exp2GO: improving prediction of functions in the Gene Ontology with expression data   sinc_DLAMS22.doi sinc_DLAMS22.pdf
L. Di Persia, T. López, A. A. Arce, D. H. Milone, G. Stegmayer
IEEE/ACM Transactions on Computational Biology and Bioinformatics, page 1--10 - 2022
Hierarchical deep learning for predicting GO annotations by integrating protein knowledge   sinc_MSMSM22.doi sinc_MSMSM22.pdf
G. Merino, R. Saidi, D. H. Milone, G. Stegmayer, M. Martín
Bioinformatics - aug 2022
Secondary structure prediction of long noncoding RNA: review and experimental comparison of existing approaches   sinc_BEPGRFRCGAMS22.doi sinc_BEPGRFRCGAMS22.pdf
L. A. Bugnon, A. Edera, S. Prochetto, M. Gerard, J. Raad, E. Fenoy, M. Rubiolo, U. Chorostecki, G. Gabaldon, F. Ariel, L. Di Persia, D. H. Milone, G. Stegmayer
Briefing in Bioinformatics - 2022
Transfer learning in proteins: evaluating novel protein learned representations for bioinformatics tasks   sinc_FES22.doi sinc_FES22.pdf
E. Fenoy, A. Edera, G. Stegmayer
Briefings in Bioinformatics, Volume 23, Number 4 - 2022
 
Publications in 2021
Deep Learning for the discovery of new pre-miRNAs: helping the fight against COVID-19   sinc_BRMYAMS21.doi sinc_BRMYAMS21.pdf
L. A. Bugnon, J. Raad, G. Merino, C. Yones, F. Ariel, D. H. Milone, G. Stegmayer
Machine Learning with Applications, Volume 6 - 2021
High precision in microRNA prediction: a novel genome-wide approach with convolutional deep residual networks   sinc_YRBMS21.doi sinc_YRBMS21.pdf
C. Yones, J. Raad, L. A. Bugnon, D. H. Milone, G. Stegmayer
Computers in Biology and Medicine, Volume 134 - 2021
miRe2e: a full end-to-end deep model based on transformers for prediction of pre-miRNAs   sinc_RBMS21.doi sinc_RBMS21.pdf
J. Raad, L. A. Bugnon, D. H. Milone, G. Stegmayer
Bioinformatics - 2021
 
Publications in 2020
Complexity measures of the mature miRNA for improving pre-miRNAs prediction   sinc_RSM20.doi sinc_RSM20.pdf
J. Raad, G. Stegmayer, D. H. Milone
Bioinformatics - 2020
DL4papers: a deep learning approach for the automatic interpretation of scientific articles   sinc_BYRGRMPDMS20.doi sinc_BYRGRMPDMS20.pdf
L. A. Bugnon, C. Yones, J. Raad, M. Gerard, M. Rubiolo, G. Merino, M. Pividori, L. Di Persia, D. H. Milone, G. Stegmayer
Oxford Bioinformatics - 2020
Genome-wide discovery of pre-miRNAs: comparison of recent approaches based on machine learning   sinc_BYMS20.doi sinc_BYMS20.pdf
L. A. Bugnon, C. Yones, D. H. Milone, G. Stegmayer
Oxford Briefings in Bioinformatics - 2020
HextractoR: an R package for automatic extraction of hairpins from genome-wide data   sinc_YMKSM20.doi sinc_YMKSM20.pdf
C. Yones, N. Macchiaroli, L. Kamenetzky, G. Stegmayer, D. H. Milone
bioRxiv - 2020
Novel SARS-CoV-2 encoded small RNAs in the passage to humans   sinc_MRBYKCAMS20.doi sinc_MRBYKCAMS20.pdf
G. Merino, J. Raad, L. A. Bugnon, C. Yones, L. Kamenetzky, J. Claus, F. Ariel, D. H. Milone, G. Stegmayer
Bioinformatics - 11 2020
 
Publications in 2019
Alternative usage of miRNA-biogenesis co-factors in plants at low temperatures   sinc_RLYASMM19.doi sinc_RLYASMM19.pdf
Delfina A. Ré, Patricia L.M. Lang, C. Yones, Agustín Arce, G. Stegmayer, D. H. Milone, Pablo A. Manavella
Development - 2019
Annotation pipeline for inferring gene functions integrating GO annotations and expression data   sinc_DMS19.pdf
L. Di Persia, D. H. Milone, G. Stegmayer
A2B2C 10th Meeting - 2019
Deep learning for reading and interpreting biomedical papers   sinc_BYRGRMPDMS19.pdf
L. A. Bugnon, C. Yones, J. Raad, M. Gerard, M. Rubiolo, G. Merino, M. Pividori, L. Di Persia, D. H. Milone, G. Stegmayer
A2B2C 10th Meeting - 2019
Deep neural architectures for highly imbalanced data in bioinformatics   sinc_BYMS19.doi sinc_BYMS19.pdf
L. A. Bugnon, C. Yones, D. H. Milone, G. Stegmayer
IEEE Transactions on Neural Networks and Learning Systems - 2019
Deep neural architectures for highly imbalanced data in bioinformatics   sinc_BYMS19a.pdf
L. A. Bugnon, C. Yones, D. H. Milone, G. Stegmayer
Argentine Symposium on Data Science and Big Data, AGRANDA 2019, 48º JAIIO - 2019
Genome-wide hairpins datasets of animals and plants for novel miRNA prediction   sinc_PWLG19.doi sinc_BYRMS19.pdf
L. A. Bugnon, C. Yones, J. Raad, D. H. Milone, G. Stegmayer
Data in Brief (in press) - 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
Evolutionary algorithm for metabolic pathways synthesis   sinc_GSM16a.pdf
M. Gerard, G. Stegmayer, D. H. Milone
XVII Simposio Argentino de Inteligencia Artificial - 45 Jornadas Argentinas de Informática, page 136--138 - 2016
Evolutionary algorithm for metabolic pathways synthesis   sinc_GSM16.doi sinc_GSM16.pdf
M. Gerard, G. Stegmayer, D. H. Milone
BioSystems, Volume 144, page 55--67 - 2016
Extreme learning machines for discovering gene regulatory networks from temporal profiles of expression   sinc_RMS16a.pdf
M. Rubiolo, D. H. Milone, G. Stegmayer
4th ISCB-LA Bioinformatics Conference, page 1--2 - 2016
MicroRNA discovery in the human parasite Echinococcus multilocularis from genome-wide data   sinc_KSMMYM16.doi sinc_KSMMYM16.pdf
L. Kamenetzky, G. Stegmayer, L. Maldonado, N. Macchiaroli, C. Yones, D. H. Milone
Genomics, Volume 107, Number 6, page 274--280 - 2016
Mining gene regulatory networks by neural modeling of expression timeseries   sinc_RMS16.pdf
M. Rubiolo, D. H. Milone, G. Stegmayer
XVII Simposio Argentino de Inteligencia Artificial - 45 Jornadas Argentinas de Informática, page 128--130 - 2016
New index for clustering validation with overlapped clusters   sinc_CSM16.doi sinc_CSM16.pdf
D. N. Campo, G. Stegmayer, D. H. Milone
Expert Systems With Applications, Volume 64, page 549--556 - 2016
Non-negative matrix factorization for prediction of gene annotations   sinc_DLSM16.pdf
L. Di Persia, G. Leale, G. Stegmayer, D. H. Milone
4th ISCB-LA Bioinformatics Conference - 2016
Novel microRNA discovery from genome-wide data: a computational pipeline with unsupervised machine learning   sinc_SYKMPRM16.pdf
G. Stegmayer, C. Yones, L. Kamenetzky, N. Macchiaroli, M. Perez, M. C. Rosenzvit, D. H. Milone
4th ISCB-LA Bioinformatics Conference - 2016
 
Publications in 2015
Cluster Ensembles for Big Data Mining Problems   sinc_PSM15.pdf
M. Pividori, G. Stegmayer, D. H. Milone
Argentine Symposium on Big Data, 44 JAIIO (Argentine Conference on Informatics) - 2015
Discovering network relations in big time series with application to bioinformatics   sinc_RMS15.pdf
M. Rubiolo, D. H. Milone, G. Stegmayer
Primer Simposio Argentino de Grandes Datos AGRANDA 2015, 44 JAIIO Jornadas Argentinas de Informática, page 41--42 - 2015
EvoMS: an evolutionary tool to find de novo metabolic pathways.   GSM15.doi sinc_GSM15.pdf
M. Gerard, G. Stegmayer, D. H. Milone
BioSystems, Number 134, page 43--47 - 2015
Metabolic analyses of interspecific tomato recombinant inbred lines for fruit quality improvement   LZPSBCBCRPZFMAVC15.doi LZPSBCBCRPZFMAVC15.pdf
M. G. López, M.I. Zanor, G.R. Pratta, G. Stegmayer, S.B. Boggio, M. Conte, L. Bermudez, C. Coluccio Leskow, G.R. Rodríguez, L.A. Picardi, R. Zorzoli, A. Fernie, D. H. Milone, R. Asís, E.M. Valle, F. Carrari
Metabolomics, Volume 11, Number 5, page 1416--1431 - oct 2015
Mining gene regulatory networks by neural modeling of expression time-series   RSM15.doi sinc_RSM15.pdf
M. Rubiolo, G. Stegmayer, D. H. Milone
IEEE IEEE/ACM Transactions on Computational Biology and Bioinformatics, Volume 12, Number 6, page 1365--1373 - 2015
miRNAfe: a comprehensive tool for feature extraction in microRNA prediction   YSKM15a.doi mirnafe.http feature_list.pdf sinc_YSKM15a.pdf
C. Yones, G. Stegmayer, L. Kamenetzky, D. H. Milone
BioSystems, Volume 138, page 1--5 - oct 2015
miRNAfe: a tool for feature extraction in pre-miRNA prediction   sinc_YSKM15.pdf
C. Yones, G. Stegmayer, L. Kamenetzky, D. H. Milone
VI Argentinian Conference on Bioinformatics and Computational Biology - oct 2015
miRNAss: a semi-supervised approach for microRNA prediction   sinc_YSM15.pdf
C. Yones, G. Stegmayer, D. H. Milone
VI Argentinian Conference on Bioinformatics and Computational Biology - oct 2015
 
Publications in 2014
A Method to Improve the Analysis of Cluster Ensembles   sinc_PSM14.pdf
M. Pividori, G. Stegmayer, D. H. Milone
Revista Iberoamericana de Inteligencia Artificial, Volume 17, Number 53, page 46--56 - 2014
Análisis de estabilidad en clusters solapados   sinc_CSM14.pdf
D. N. Campo, G. Stegmayer, D. H. Milone
Revista Iberoamericana de Inteligencia Artificial, Volume 17, Number 53, page 79--89 - 2014
Improving clustering with metabolic pathway data   MSLKC14.doi MSLKC14.http sinc_MSLKC14.pdf
D. H. Milone, G. Stegmayer, M. G. López, L. Kamenetzky, F. Carrari
BMC Bioinformatics, Volume 15, Number 101 - 2014
 
Publications in 2013
A novel clustering approach for biological data using a new distance based on Gene Ontology   sinc_LMBGS13.pdf
G. Leale, D. H. Milone, A Bayá, P. Granitto, G. Stegmayer
Argentine Symposium on Artificial Intelligence (ASAI 2013) - 42º JAIIO - 2013
A Novel Method to Control the Diversity in Cluster Ensembles   sinc_PSM13.pdf
M. Pividori, G. Stegmayer, D. H. Milone
Argentine Symposium on Artificial Intelligence (ASAI 2013) - 42º JAIIO, page 121--132 - 2013
An evolutionary approach for searching metabolic pathways   GSM13.doi GSM13.http sinc_GSM13.pdf
M. Gerard, G. Stegmayer, D. H. Milone
Computers in Biology and Medicine, Volume 43, Number 11, page 1704--1712 - nov 2013
Automatic recognition of quarantine citrus diseases   SMGB12.doi sinc_SMGB12.pdf
G. Stegmayer, D. H. Milone, S. Garran, L. Burdyn
Expert Systems With Applications, Volume 40, page 3512--3517 - 2013
Clustering biological data with SOMs: on topology preservation in non-linear dimensional reduction   MSKLC12.doi sinc_MSKLC12.pdf
D. H. Milone, G. Stegmayer, L. Kamenetzky, M. G. López, F. Carrari
Expert Systems With Applications, Volume 40, page 3841--3845 - 2013
Compressing arrays of classifiers using Volterra-Neural Network: application to face recognition   RSM12.doi sinc_RSM12.pdf
M. Rubiolo, G. Stegmayer, D. H. Milone
Neural Computing & Applications, Volume 23, Number 6, page 1687--1701 - 2013
Consensus clustering from heterogeneous measures of S. Lycopersicum   sinc_PSCM13.pdf
M. Pividori, G. Stegmayer, F. Carrari, D. H. Milone
4to. Congreso Argentino de Bioinformática y Biología Computacional (4CAB2C) - 2013
New approach for biological clustering based on Gene Ontology   sinc_LMBGS13a.pdf
G. Leale, D. H. Milone, A Bayá, P. Granitto, G. Stegmayer
4to. Congreso Argentino de Bioinformática y Biología Computacional (4CAB2C) - 2013
Nuevo índice para el análisis de estabilidad en clusters solapados   sinc_CSM13.pdf
D. N. Campo, G. Stegmayer, D. H. Milone
Argentine Symposium on Artificial Intelligence (ASAI 2013) - 42º JAIIO, page 24--35 - 2013
 
Publications in 2012
A biologically-inspired validity measure for comparison of clustering methods over metabolic datasets   SMKLC12.doi gmlc.http sinc_SMKLC12.pdf
G. Stegmayer, D. H. Milone, L. Kamenetzky, M. G. López, F. Carrari
IEEE ACM Transactions in Computational Biology and Bioinformatics, Volume 9, Number 3, page 706--716 - may 2012
Algoritmo evolutivo para la búsqueda de vías metabólicas   sinc_GSM11.pdf
M. Gerard, G. Stegmayer, D. H. Milone
Inteligencia Artificial, Volume 15, page 1--12 - 2012
Data mining over biological datasets: an integrated approach based on computational intelligence   SGM12.doi sinc_SGM12.pdf
G. Stegmayer, M. Gerard, D. H. Milone
IEEE Computational Intelligence Magazine, Volume 7, Number 4, page 22--34 - 2012
Knowledge Discovery through Ontology Matching: An Approach based on an Artificial Neural Network Model   RCSCG12.doi sinc_RCSCG12.pdf
M. Rubiolo, M. L. Caliusco, G. Stegmayer, M. Coronel, M. Gareli Fabrizi
Information Sciences, Volume 194, page 107--119 - 2012
Metabolic pathfinding based on genetic algorithms   sinc_GSM12a.pdf
M. Gerard, G. Stegmayer, D. H. Milone
3er. Congreso Argentino de Bioinformática y Biología Computacional (3CAB2C) - 2012 - 2012
 
Publications in 2010
*omeSOM: a software for integration, clustering and visualization of transcriptional and metabolite data mined from interspecific crosses of crop plants   sinc_MSKLGLC10.doi OmeSOM.http sinc_MSKLGLC10.pdf
D. H. Milone, G. Stegmayer, L. Kamenetzky, M. G. López, J. Giovannoni, Je Min Lee, F. Carrari
BMC Bioinformatics, Volume 4, page 438--448 - 2010
Analysis and integration of biological data: a data mining approach using neural networks   doi.doi OmeSOM.http sinc_MSGKLC10.pdf
D. H. Milone, G. Stegmayer, M. Gerard, L. Kamenetzky, M. G. López, F. Carrari
IGI Global, page 287--314 - 2010
Búsqueda evolutiva de vías metabólicas   sinc_GSM10.pdf
M. Gerard, G. Stegmayer, D. H. Milone
XI Argentine Symposium on Artificial Intelligence (ASAI 2010) - aug 2010
Compressing a Neural Network Classifier using a Volterra-Neural Network model   sinc_RSM10.pdf
M. Rubiolo, G. Stegmayer, D. H. Milone
IEEE International Joint Conference on Neural Networks (IJCNN), page 1--7 - Jul 2010
Metabolic pathway reconstruction by a neural clustering   sinc_KLSMGFC10.pdf
L. Kamenetzky, M. G. López, G. Stegmayer, D. H. Milone, J. Giovannoni, A. Fernie, F. Carrari
1er Congreso Argentino de Bioinformática y Biología Computacional - may 2010
Neural Networks and Wireless Communications Modeling   sinc_RSC10.doi sinc_RSC10.pdf
M. Rubiolo, G. Stegmayer, O. Chiotti
IEEE Latin America Transactions, Volume 8, page 486--492 - 2010
Sistema de reconocimiento facial (Undergraduate project)   sinc_SMS10.pdf
G. M. Scarel, C. E. Martínez, G. Stegmayer
Master thesis from Facultad de Ingeniería y Ciencias Hídricas - Universidad Nacional del Litoral - 2010
 
Publications in 2009
Array of Multilayer Perceptrons with No-class Resampling Training for Face Recognition   sinc_CMMS09.pdf
D. Capello, C. E. Martínez, D. H. Milone, G. Stegmayer
Revista Iberoamericana de Inteligencia Artificial, Volume 13, Number 44, page 5--13 - 2009
Array of Multilayer Perceptrons with No-class Resampling Training for Face Recognition   sinc_CMMS09a.pdf
D. Capello, C. E. Martínez, D. H. Milone, G. Stegmayer
X Argentine Symposium on Artificial Intelligence (ASAI 2009) - August 2009
Artificial Life Contest: a tool for informal teaching of artificial intelligence   sinc_MSB09.pdf
D. H. Milone, G. Stegmayer, D. Beber
International Conference on Computer Supported Education (CSEDU 2009), page 119--124 - March 2009
Knowledge Source Discovery: An experience using Ontologies, WordNet and Artificial Neural Networks   sinc_RCSGC09.pdf
M. Rubiolo, M. L. Caliusco, G. Stegmayer, M. Gareli Fabrizi, M. Coronel
13th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems - 2009
Métodos de agrupamiento no supervisado para la integración de datos genómicos y metabólicos de múltiples líneas de introgresión   sinc_MSGKLC09.pdf
D. H. Milone, G. Stegmayer, M. Gerard, L. Kamenetzky, M. G. López, F. Carrari
Revista Iberoamericana de Inteligencia Artificial, Volume 13, Number 44, page 56--66 - 2009
Métodos de agrupamiento no supervisado para la integración de datos genómicos y metabólicos de múltiples líneas de introgresión   sinc_MSGKLC09a.pdf
D. H. Milone, G. Stegmayer, M. Gerard, L. Kamenetzky, M. G. López, F. Carrari
X Argentine Symposium on Artificial Intelligence (ASAI 2009), page 71--82 - August 2009
Neural Network Model for Integration and Visualization of Introgressed Genome and Metabolite Data   OmeSOM.http sinc_SMKLC09.pdf
G. Stegmayer, D. H. Milone, L. Kamenetzky, M. G. López, F. Carrari
IEEE International Joint Conference on Neural Networks (IJCNN), page 2983--2989 - June 2009
 
Publications in 2005
Nonlinear RF/Microwave device and system modeling using neural networks   sinc_Ste05.pdf
G. Stegmayer
PhD thesis from Politecnico di Torino - dec 2005

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