L. BUGNON, L. DI PERSIA, M. GERARD, J. RAAD, S. PROCHETTO, E. FENOY, U. CHOROSTECKI, F. ARIEL, G. STEGMAYER, D.H. MILONE

sincFold: end-to-end learning of short- and long-range interactions in RNA secondary structure

BRIEFINGS IN BIOINFORMATICS; Lugar: Oxford; Año: 2024

R. VITALE, L.A. BUGNON, E. FENOY, D.H. MILONE, G. STEGMAYER

Evaluating large language models for annotating proteins

BRIEFINGS IN BIOINFORMATICS; Lugar: Oxford; Año: 2024 vol. 25 p. 1 - 12

L. DI PERSIA, T. LOPEZ, A. ARCE, D.H. MILONE, G. STEGMAYER

exp2GO: improving prediction of functions in the Gene Ontology with expression data

IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS; Lugar: Los Alamitos, CA, USA; Año: 2023 vol. 20 p. 999 - 1008

L.A. BUGNON, E. FENOY, A. EDERA, J. RAAD, G. STEGMAYER,D.H. MILONE

Transfer learning: the key to functionally annotate the protein universe

PATTERNS; Lugar: New York; Año: 2023

A. EDERA, D.H. MILONE, G. STEGMAYER

Anc2vec: embedding Gene Ontology terms by preserving ancestors relationships

BRIEFINGS IN BIOINFORMATICS; Lugar: Oxford; Año: 2022

E. FENOY, A.A. EDERA, G. STEGMAYER

Transfer learning in proteins: evaluating novel protein learned representations for bioinformatics tasks

BRIEFINGS IN BIOINFORMATICS; Lugar: Oxford; Año: 2022

J. RAAD, L. BUGNON, D.H. MILONE, G. STEGMAYER

miRe2e: a full end-to-end deep model based on Transformers for prediction of pre-miRNAs from raw genome-wide data

BIOINFORMATICS (OXFORD, ENGLAND); Lugar: Oxford; Año: 2022 vol. 38 p. 1191 - 1199

L.A. BUGNON, A.A EDERA, S. PROCHETTO, M. GERARD, J. RAAD, E. FENOY, M. RUBIOLO, U. CHOROSTECKI, T. GABALDÓN, F. ARIEL, L. DI PERSIA, D.H. MILONE, G. STEGMAYER

Secondary structure prediction of long non-coding RNA: review and experimental comparison of existing approaches

BRIEFINGS IN BIOINFORMATICS; Lugar: Oxford; Año: 2022 vol. 6 p. 1 - 15

G. MERINO, R. SAIDI, D.H. MILONE, G. STEGMAYER, M. MARTIN

Hierarchical deep learning for predicting GO annotations by integrating protein knowledge

BIOINFORMATICS (OXFORD, ENGLAND); Lugar: Oxford; Año: 2022 vol. 38 p. 4488 - 4496

L. BUGNON, J. RAAD, G. MERINO, C. YONES, F. ARIEL, D.H. MILONE, G. STEGMAYER

Deep Learning for the discovery of new pre-miRNAs: helping the fight against COVID-19

MACHINE LEARNING WITH APPLICATIONS; Año: 2021 vol. 6 p. 100150 - 100160

BUGNON, LEANDRO A; YONES, CRISTIAN; MILONE, DIEGO H; STEGMAYER, GEORGINA

Genome-wide discovery of pre-miRNAs: comparison of recent approaches based on machine learning

BRIEFINGS IN BIOINFORMATICS; Año: 2021 vol. 22

C. YONES, J. RAAD, L. BUGNON, D.H. MILONE, G. STEGMAYER

High precision in microRNA prediction: a novel genome-wide approach with convolutional deep residual networks

COMPUTERS IN BIOLOGY AND MEDICINE; Año: 2021 vol. 134 p. 104448 - 104449

L. BUGNON, C. YONES, J. RAAD, G. MERINO, M. PIVIDORI, M. GERARD, M. RUBIOLO, L. DI PERSIA, D.H. MILONE, G. STEGMAYER

DL4papers: a deep learning approach for the automatic interpretation of scientific articles (IF 5.610)

BIOINFORMATICS (OXFORD, ENGLAND); Lugar: Oxford; Año: 2020 vol. 36 p. 3499 - 3506

L. BUGNON, C. YONES, D.H. MILONE, G. STEGMAYER

Deep neural architectures for highly imbalanced data in bioinformatics

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS; Año: 2020 vol. 31 p. 2857 - 2867

J. RAAD, G. STEGMAYER, D.H. MILONE

Complexity measures of the mature miRNA for improving pre-miRNAs prediction

BIOINFORMATICS (OXFORD, ENGLAND); Lugar: Oxford; Año: 2020 vol. 36 p. 2319 - 2327

MERINO, GABRIELA A; RAAD, JONATHAN; BUGNON, LEANDRO A; YONES, CRISTIAN; KAMENETZKY, LAURA; CLAUS, JUAN; ARIEL, FEDERICO; MILONE, DIEGO H; STEGMAYER, GEORGINA

Novel SARS-CoV-2 encoded small RNAs in the passage to humans

BIOINFORMATICS (OXFORD, ENGLAND); Año: 2020 vol. 36 p. 5571 - 5581

M. PIVIDORI, A. CERNADAS, L.A. DE HARO, F. CARRARI, G. STEGMAYER, D.H. MILONE

Clustermatch: discovering hidden relations in highly diverse kinds of qualitative and quantitative data without standardization (IF 5.481)

BIOINFORMATICS (OXFORD, ENGLAND); Lugar: Oxford; Año: 2019 vol. 35 p. 1931 - 1939

G. STEGMAYER, L. DI PERSIA, M. RUBIOLO, M. GERARD, M. PIVIDORI, C. YONES, L. BUGNON, T. RODRIGUEZ, J. RAAD AND D.H. MILONE

Predicting novel microRNA: a comprehensive comparison of machine learning approaches (IF 9.101)

BRIEFINGS IN BIOINFORMATICS; Lugar: Oxford; Año: 2019 vol. 20 p. 1607 - 1620

L. BUGNON, C. YONES, J. RAAD, D.H. MILONE, G. STEGMAYER

Genome-wide hairpins datasets of animals and plants for novel miRNA prediction

DATA IN BRIEF; Año: 2019

D. RÉ, P. LANG, C. YONES, A. ARCE, G. STEGMAYER, D. MILONE, P. MANAVELLA

Alternative usage of miRNA-biogenesis co-factors in plants at low temperatures

DEVELOPMENT; Lugar: Cambridge; Año: 2019

M. GERARD, G. STEGMAYER, D.H. MILONE

Metabolic pathways synthesis based on ant colony optimization

SCIENTIFIC REPORTS; Lugar: Londres; Año: 2018 vol. 8 p. 16398 - 16399

M. RUBIOLO, D.H. MILONE, G. STEGMAYER

Extreme Learning Machines for reverse engineering of gene regulatory networks from expression time series

BIOINFORMATICS (OXFORD, ENGLAND); Lugar: Oxford; Año: 2018 vol. 34 p. 1253 - 1260

C. YONES, G. STEGMAYER, D.H. MILONE

Genome-wide pre-miRNA discovery from few labeled examples

BIOINFORMATICS (OXFORD, ENGLAND); Lugar: Oxford; Año: 2018 vol. 34 p. 541 - 549

L. MALDONADO, G. STEGMAYER, D. MILONE, G. OLIVEIRA, M. ROSENZVIT, L. KAMENETZKY

Whole genome analysis of codon usage in Echinococcus

MOLECULAR AND BIOCHEMICAL PARASITOLOGY; Lugar: Amsterdam; Año: 2018 vol. 225 p. 54 - 66

G. LEALE, A. BAYA, D.H. MILONE, P. GRANITTO, G. STEGMAYER

Inferring unknown biological function by integration of GO annotations and gene expression data (IF 1.609)

IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS; Lugar: Los Alamitos, CA, USA; Año: 2017 vol. 15 p. 168 - 180

M. PÉREZ, N. MACCHIAROLI, G. LICHTENSTEIN, G. CONTI, S. ASURMENDI, D.H. MILONE, G. STEGMAYER, L. KAMENETZKY, M. CUCHER, M. ROSENZVIT

microRNA analysis of Taenia crassiceps cysticerci under praziquantel treatment and genome-wide identification of Taenia solium miRNAs (IF 4.242)

INTERNATIONAL JOURNAL FOR PARASITOLOGY; Lugar: Amsterdam; Año: 2017 vol. 47 p. 643 - 653

G. STEGMAYER, C. YONES, L. KAMENETZKY, D.H. MILONE

High class-imbalance in pre-miRNA prediction: a novel approach based on deepSOM

IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS; Lugar: Los Alamitos, CA, USA; Año: 2017 vol. 14 p. 1316 - 1326

G. STEGMAYER, M. PIVIDORI, D.H. MILONE

A very simple and fast way to access and validate algorithms in reproducible research

BRIEFINGS IN BIOINFORMATICS; Lugar: Oxford; Año: 2016 vol. 17 p. 180 - 183

L. KAMENETZKY, G. STEGMAYER, L. MALDONADO, N. MACCHIAROLI, C. YONES, D.H. MILONE

MicroRNA discovery in the human parasite Echinococcus multilocularis from genome-wide data

GENOMICS; Lugar: Amsterdam; Año: 2016 vol. 107 p. 274 - 280

M. PIVIDORI, G. STEGMAYER, D.H. MILONE

Diversity control for improving the analysis of consensus clustering

INFORMATION SCIENCES; Lugar: Amsterdam; Año: 2016 vol. 361 p. 120 - 134

D. CAMPO, G. STEGMAYER, D. MILONE

A new index for clustering validation with overlapped clusters

EXPERT SYSTEMS WITH APPLICATIONS; Lugar: Amsterdam; Año: 2016 vol. 64 p. 549 - 556

M. GERARD, G. STEGMAYER, D.H. MILONE

Evolutionary algorithm for metabolic pathways synthesis

BIOSYSTEMS; Lugar: Amsterdam; Año: 2016 vol. 144 p. 55 - 67

M. LOPEZ; M. ZANOR; G. PRATTA; G. STEGMAYER; S. BOGGIO; M. CONTE; L. BERMUDEZ; C. LESKOW; G. RODRIGUEZ; L. PICARDI; R. ZORZOLI; A. FERNIE; D. MILONE; R. ASIS; E. VALLE; F. CARRARI

Metabolic analyses of interspecific tomato recombinant inbred lines for fruit quality improvement (IF 3.965)

METABOLOMICS; Lugar: Berlin; Año: 2015 vol. 11 p. 1416 - 1431

C. YONES, G. STEGMAYER, L. KAMENETZKY, D.H. MILONE

miRNAfe: a comprehensive tool for feature extraction in microRNA prediction (IF 1.472)

BIOSYSTEMS; Lugar: Amsterdam; Año: 2015 vol. 138 p. 1 - 5

M. RUBIOLO, D.H. MILONE, G. STEGMAYER

Mining gene regulatory networks by neural modeling of expression time-series (IF 1.536))

IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS; Lugar: Los Alamitos, CA, USA; Año: 2015 vol. 12 p. 1365 - 1373

M. GERARD, G. STEGMAYER, D.H. MILONE

EvoMS: an evolutionary tool to find de novo metabolic pathways

BIOSYSTEMS; Lugar: Amsterdam; Año: 2015 vol. 134 p. 43 - 47

D. CAMPO, G. STEGMAYER, D. MILONE

Análisis de estabilidad en clusters solapados

INTELIGENCIA ARTIFICIAL. IBERO-AMERICAN JOURNAL OF ARTIFICIAL INTELLIGENCE; Año: 2014 vol. 17 p. 79 - 89

M. PIVIDORI, G. STEGMAYER, D.H. MILONE

A Method to Improve the Analysis of Cluster Ensembles

INTELIGENCIA ARTIFICIAL. IBERO-AMERICAN JOURNAL OF ARTIFICIAL INTELLIGENCE; Año: 2014 vol. 17 p. 46 - 56

D. MILONE, G. STEGMAYER, M. LOPEZ, L. KAMENETZKY, F. CARRARI

Improving clustering with metabolic pathway data

BMC BIOINFORMATICS; Lugar: Londres; Año: 2014 vol. 15 p. 101 - 111

M. GUTIÉRREZ, J. ROA, W. SANTANA, G. STEGMAYER

Towards teaching Artificial Intelligence using a Model-Driven approach

Advanced Studies in Artificial Intelligence; Año: 2013 vol. 1 p. 27 - 44

M. GERARD, G. STEGMAYER, D.H. MILONE

An evolutionary approach for searching metabolic pathways (IF 1.162)

COMPUTERS IN BIOLOGY AND MEDICINE; Lugar: Amsterdam; Año: 2013 vol. 43 p. 1704 - 1712

G. STEGMAYER, D. MILONE, S. GARRAN, L. BURDYN

Automatic recognition of quarantine citrus diseases (IF 2.203)

EXPERT SYSTEMS WITH APPLICATIONS; Lugar: Amsterdam; Año: 2013 vol. 40 p. 3512 - 3517

D. MILONE, G. STEGMAYER, L. KAMENETZKY, M. LOPEZ, F. CARRARI

Clustering biological data with SOMs: on topology preservation in non-linear dimensional reduction (IF 2.203)

EXPERT SYSTEMS WITH APPLICATIONS; Lugar: Amsterdam; Año: 2013 vol. 40 p. 3841 - 3845

M. GERARD, G. STEGMAYER, D. MILONE

Un enfoque evolutivo para la búsqueda de vías metabólicas

INTELIGENCIA ARTIFICIAL. IBERO-AMERICAN JOURNAL OF ARTIFICIAL INTELLIGENCE; Lugar: Madrid; Año: 2012 vol. 15 p. 1 - 12

M. FALAPPA, G. STEGMAYER

ASAI - Guest Editorial.

INTELIGENCIA ARTIFICIAL. IBERO-AMERICAN JOURNAL OF ARTIFICIAL INTELLIGENCE; Año: 2012 vol. 15 p. 1 - 3

M. RUBIOLO, G. STEGMAYER, D. MILONE

Compressing arrays of classifiers using Volterra-Neural Network: application to face recognition (IF2012 1.168)

NEURAL COMPUTING AND APPLICATIONS; Lugar: Berlin; Año: 2012 vol. 23 p. 1687 - 1701

G. STEGMAYER, D. MILONE, L. KAMENETZKY, M. LOPEZ, F. CARRARI

A biologically-inspired validity measure for comparison of clustering methods over metabolic datasets (IF2012 1.616)

IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS; Lugar: New York; Año: 2012 vol. 9 p. 706 - 716

M. MAGLIANESI, G. STEGMAYER

Metodología para la construcción de un sistema biométrico de reconocimiento facial basado en un clasificador neuronal (IF 0.216)

IEEE LATIN AMERICA TRANSACTIONS; Lugar: Porto Alegre; Año: 2012 vol. 10 p. 2175 - 2184

G. STEGMAYER, M. GERARD, D. MILONE

Data mining over biological datasets: an integrated approach based on computational intelligence (IF 4.629)

IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE; Lugar: New York; Año: 2012 vol. 7 p. 22 - 34

M. RUBIOLO, M.L. CALIUSCO, G. STEGMAYER, M. CORONEL AND M. GARELI FABRIZI.

Knowledge Discovery through Ontology Matching: An Approach based on an Artificial Neural Network Model (IF 3.643)

INFORMATION SCIENCES; Año: 2012 vol. 194 p. 107 - 119

WALTER SANTANA,JORGE ROA,MILAGROS GUTIÉRREZ, GEORGINA STEGMAYER

IDEM-IA: Un entorno de desarrollo integrado para el modelado de agentes inteligentes

Revista Iberoamericana de Informática Educativa; Año: 2011

M. RUBIOLO, G. STEGMAYER, O. CHIOTTI

Neural Networks and Wireless Communications Modeling (IF 0.216)

IEEE LATIN AMERICA TRANSACTIONS; Año: 2010 vol. 8 p. 486 - 492

D. MILONE, G. STEGMAYER, L. KAMENETZKY, M. LÓPEZ, J. GIOVANNONI, JE MIN LEE AND F. CARRARI

*omeSOM: a software for integration, clustering and visualization of transcriptional and metabolite data mined from interspecific crosses of crop plants (IF 3.43)

BMC BIOINFORMATICS; Año: 2010 vol. 11 p. 438 - 448

D. MILONE, G. STEGMAYER, M. GERARD, L. KAMENETZKY, M. LÓPEZ AND F. CARRARI

Métodos de agrupamiento no supervisado para la integración de datos genómicos y metabólicos de múltiples líneas de introgresión

INTELIGENCIA ARTIFICIAL. IBERO-AMERICAN JOURNAL OF ARTIFICIAL INTELLIGENCE; Lugar: Madrid; Año: 2009 vol. 3 p. 56 - 66

D. CAPELLO, C. MARTINEZ, D. MILONE AND G. STEGMAYER

Array of Multilayer Perceptrons with No-class Resampling Training for Face Recognition

INTELIGENCIA ARTIFICIAL. IBERO-AMERICAN JOURNAL OF ARTIFICIAL INTELLIGENCE; Lugar: Madrid; Año: 2009 vol. 3 p. 5 - 13

M. RUBIOLO, M.L. CALIUSCO, G. STEGMAYER, M. GARELI AND M. CORONEL

Knowledge Source Discovery: An experience using Ontologies, WordNet and Artificial Neural Networks

LECTURE NOTES IN COMPUTER SCIENCE; Lugar: Berlin; Año: 2009 vol. 5712 p. 66 - 73

G. STEGMAYER, V. GONZALEZ, L. GUGLIOTTA, O. CHIOTTI, J. VEGA

Estimation of the Particle Size Distribution of a Dilute Latex from Combined Elastic and Dynamic Light Scattering Measurements. A Method Based on Neural Networks (IF 0.28)

LATIN AMERICAN APPLIED RESEARCH; Lugar: Bahia Blanca; Año: 2009 vol. 30 p. 261 - 266

L. GUGLIOTTA, G. STEGMAYER, L. CLEMENTI, V. GONZALEZ, R. MINARI, J. LEIZA AND J. VEGA

A Neural Network Model for Estimating the Particle Size Distribution of a Dilute Latex from Multiangle Dynamic Light Scattering Measurements (IF 0.515)

PARTICLE & PARTICLE SYSTEMS CHARACTERIZATION; Lugar: Weinheim; Año: 2009 vol. 26 p. 41 - 52

G. STEGMAYER, O. CHIOTTI

Volterra NN-based behavioral model for new wireless communications devices (IF 0.812)

NEURAL COMPUTING AND APPLICATIONS; Lugar: Berlin; Año: 2009 vol. 18 p. 283 - 291

J. ROA, M. GUTIERREZ, G. STEGMAYER

FAIA: Framework para la enseñanza de agentes en IA

Revista Iberoamericana de Informática Educativa; Lugar: España; Año: 2008 vol. 1 p. 43 - 56

G. STEGMAYER, M. CALIUSCO, M.R. GALLI, O. CHIOTTI

ANN-agent for distributed Knowledge Source Discovery

LECTURE NOTES IN COMPUTER SCIENCE; Lugar: Berlín; Año: 2007 vol. 4805 p. 467 - 476

F. GIANNINI, P. COLANTONIO, G. ORENGO, A. SERINO, G. STEGMAYER, M. PIROLA, G. GHIONE

Neural Networks and Volterra-series for Time-domain PA Behavioral models (IF 0.845)

INTERNATIONAL JOURNAL OF RF AND MICROWAVE COMPUTER-AIDED ENGINEERING; Lugar: New York; Año: 2007 vol. 17 p. 160 - 168

R. MINARI, G. STEGMAYER, L. GUGLIOTTA, O. CHIOTTI, J. VEGA

Industrial SBR Process: Computer Simulation Study for Online Estimation of Steady-State Variables Using Neural Networks (IF 1.041)

MACROMOLECULAR REACTION ENGINEERING; Lugar: Weinheim; Año: 2007 vol. 1 p. 405 - 412

G. STEGMAYER, O. CHIOTTI

Novel Neural Network application to nonlinear electronic devices modeling: building a Volterra series model

INTELIGENCIA ARTIFICIAL. IBERO-AMERICAN JOURNAL OF ARTIFICIAL INTELLIGENCE; Lugar: España; Año: 2005 vol. 9 p. 19 - 27

G. STEGMAYER, O. CHIOTTI

Identification of frequency-domain Volterra model using Neural Networks

LECTURE NOTES IN COMPUTER SCIENCE; Lugar: Berlin; Año: 2005 vol. 3697 p. 465 - 471

G. STEGMAYER

Comparison of Volterra models extracted from a Neural Network for nonlinear systems modeling

LECTURE NOTES IN COMPUTER SCIENCE; Lugar: Berlin; Año: 2005 vol. 3697 p. 457 - 463

G. STEGMAYER, M. PIROLA, G. GHIONE, G. ORENGO, P. COLANTONIO

Volterra black-box model of electron devices nonlinear behavior based on Neural Networks parameters

WSEAS Transactions on Circuits and Systems; Lugar: Grecia; Año: 2004 vol. 3 p. 1140 - 1144

G. STEGMAYER, M. PIROLA, G. ORENGO, O. CHIOTTI

Towards a Volterra series representation from a Neural Network model

WSEAS Transactions on Systems; Lugar: Grecia; Año: 2004 vol. 3 p. 432 - 437

G. STEGMAYER, M. CALIUSCO, O. CHIOTTI, M.R. GALLI

Knowledge Component of a Multiagent Distributed Decision Support System

CLEI Electronic Journal; Lugar: Buenos Aires; Año: 2002 vol. 5 p. 1 - 23

G. STEGMAYER, M.L. TAVERNA, O. CHIOTTI, M.R. GALLI

The Agent Routering Process of Dynamic Distributed Decision Support System

Journal of Computer Science & Technology, Special Issue on Research in Computer Science; Lugar: Buenos Aires; Año: 2001 vol. 1 p. 30 - 43