Georgina Stegmayer

67 papers B 5C 1Journal 53Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ET-Pfam: ensemble transfer learning for protein family prediction. Bioinform. Sofia A. Duarte, Rosario Vitale, Sofia Escudero, Emilio Fenoy, Leandro A. Bugnon, Diego H. Milone, Georgina Stegmayer
2025	J	`jnl`	Comprehensive benchmarking of large language models for RNA secondary structure prediction. Briefings Bioinform. Luciano I Zablocki, Leandro A. Bugnon, Matias Gerard, Leandro E. Di Persia, Georgina Stegmayer, Diego H. Milone
2024	J	`jnl`	Comprehensive benchmarking of large language models for RNA secondary structure prediction. CoRR Luciano I Zablocki, Leandro A. Bugnon, Matias Gerard, Leandro E. Di Persia, Georgina Stegmayer, Diego H. Milone
2024	J	`jnl`	Evaluating large language models for annotating proteins. Briefings Bioinform. Rosario Vitale, Leandro A. Bugnon, Emilio Fenoy, Diego H. Milone, Georgina Stegmayer
2024	J	`jnl`	evolSOM: an R Package for evolutionary conservation analysis with SOMs. CoRR Santiago Prochetto, Renata Reinheimer, Georgina Stegmayer
2024	J	`jnl`	gGN: Representing the Gene Ontology as low-rank Gaussian distributions. Comput. Biol. Medicine Alejandro A. Edera, Georgina Stegmayer, Diego H. Milone
2024	J	`jnl`	sincFold: end-to-end learning of short- and long-range interactions in RNA secondary structure. Briefings Bioinform. Leandro A. Bugnon, Leandro E. Di Persia, Matias Gerard, Jonathan Raad, Santiago Prochetto, Emilio Fenoy, Uciel Chorostecki, Federico Ariel, Georgina Stegmayer, Diego H. Milone
2023	J	`jnl`	Transfer learning: The key to functionally annotate the protein universe. Patterns Leandro A. Bugnon, Emilio Fenoy, Alejandro A. Edera, Jonathan Raad, Georgina Stegmayer, Diego H. Milone
2023	J	`jnl`	exp2GO: Improving Prediction of Functions in the Gene Ontology With Expression Data. IEEE ACM Trans. Comput. Biol. Bioinform. Leandro E. Di Persia, Tiago Lopez, Agustin Arce, Diego H. Milone, Georgina Stegmayer
2022	J	`jnl`	Anc2vec: embedding gene ontology terms by preserving ancestors relationships. Briefings Bioinform. Alejandro A. Edera, Diego H. Milone, Georgina Stegmayer
2022	J	`jnl`	Hierarchical deep learning for predicting GO annotations by integrating protein knowledge. Bioinform. Gabriela Alejandra Merino, Rabie Saidi, Diego H. Milone, Georgina Stegmayer, Maria Jesus Martin
2022	J	`jnl`	Secondary structure prediction of long noncoding RNA: review and experimental comparison of existing approaches. Briefings Bioinform. Leandro A. Bugnon, Alejandro A. Edera, Santiago Prochetto, Matias Gerard, Jonathan Raad, Emilio Fenoy, Mariano Rubiolo, Uciel Chorostecki, Toni Gabaldón, Federico Ariel, Leandro E. Di Persia, Diego H. Milone, Georgina Stegmayer
2022	J	`jnl`	Transfer learning in proteins: evaluating novel protein learned representations for bioinformatics tasks. Briefings Bioinform. Emilio Fenoy, Alejandro A. Edera, Georgina Stegmayer
2022	J	`jnl`	miRe2e: a full end-to-end deep model based on transformers for prediction of pre-miRNAs. Bioinform. Jonathan Raad, Leandro A. Bugnon, Diego H. Milone, Georgina Stegmayer
2021	J	`jnl`	Genome-wide discovery of pre-miRNAs: comparison of recent approaches based on machine learning. Briefings Bioinform. Leandro A. Bugnon, Cristian A. Yones, Diego H. Milone, Georgina Stegmayer
2021	J	`jnl`	High precision in microRNA prediction: A novel genome-wide approach with convolutional deep residual networks. Comput. Biol. Medicine Cristian A. Yones, Jonathan Raad, Leandro A. Bugnon, Diego H. Milone, Georgina Stegmayer
2021	J	`jnl`	Novel SARS-CoV-2 encoded small RNAs in the passage to humans. Bioinform. Gabriela Alejandra Merino, Jonathan Raad, Leandro A. Bugnon, Cristian A. Yones, Laura Kamenetzky, Juan Claus, Federico Ariel, Diego H. Milone, Georgina Stegmayer
2020	J	`jnl`	Complexity measures of the mature miRNA for improving pre-miRNAs prediction. Bioinform. Jonathan Raad, Georgina Stegmayer, Diego H. Milone
2020	J	`jnl`	DL4papers: a deep learning approach for the automatic interpretation of scientific articles. Bioinform. Leandro A. Bugnon, Cristian A. Yones, Jonathan Raad, Matias Gerard, Mariano Rubiolo, Gabriela Alejandra Merino, Milton Pividori, Leandro E. Di Persia, Diego H. Milone, Georgina Stegmayer
2020	J	`jnl`	Deep Neural Architectures for Highly Imbalanced Data in Bioinformatics. IEEE Trans. Neural Networks Learn. Syst. Leandro A. Bugnon, Cristian A. Yones, Diego H. Milone, Georgina Stegmayer
2019	J	`jnl`	Clustermatch: discovering hidden relations in highly diverse kinds of qualitative and quantitative data without standardization. Bioinform. Milton Pividori, Andres Cernadas, Luis A. de Haro, Fernando Carrari, Georgina Stegmayer, Diego H. Milone
2019	J	`jnl`	Predicting novel microRNA: a comprehensive comparison of machine learning approaches. Briefings Bioinform. Georgina Stegmayer, Leandro E. Di Persia, Mariano Rubiolo, Matias Gerard, Milton Pividori, Cristian A. Yones, Leandro A. Bugnon, Tadeo Rodriguez, Jonathan Raad, Diego H. Milone
2018	J	`jnl`	Extreme learning machines for reverse engineering of gene regulatory networks from expression time series. Bioinform. Mariano Rubiolo, Diego H. Milone, Georgina Stegmayer
2018	J	`jnl`	Genome-wide pre-miRNA discovery from few labeled examples. Bioinform. Cristian A. Yones, Georgina Stegmayer, Diego H. Milone
2018	J	`jnl`	Inferring Unknown Biological Function by Integration of GO Annotations and Gene Expression Data. IEEE ACM Trans. Comput. Biol. Bioinform. Guillermo Leale, Ariel E. Bayá, Diego H. Milone, Pablo M. Granitto, Georgina Stegmayer
2017	C	`conf`	Extreme learning machine prediction under high class imbalance in bioinformatics. CLEI Tadeo Rodriguez, Leandro E. Di Persia, Diego H. Milone, Georgina Stegmayer
2017	J	`jnl`	High Class-Imbalance in pre-miRNA Prediction: A Novel Approach Based on deepSOM. IEEE ACM Trans. Comput. Biol. Bioinform. Georgina Stegmayer, Cristian A. Yones, Laura Kamenetzky, Diego H. Milone
2016	J	`jnl`	A new index for clustering validation with overlapped clusters. Expert Syst. Appl. David Nazareno Campo, Georgina Stegmayer, Diego H. Milone
2016	J	`jnl`	A very simple and fast way to access and validate algorithms in reproducible research. Briefings Bioinform. Georgina Stegmayer, Milton Pividori, Diego H. Milone
2016	J	`jnl`	Diversity control for improving the analysis of consensus clustering. Inf. Sci. Milton Pividori, Georgina Stegmayer, Diego H. Milone
2016	J	`jnl`	Evolutionary algorithm for metabolic pathways synthesis. Biosyst. Matias Fernando Gerard, Georgina Stegmayer, Diego H. Milone
2016	J	`jnl`	Inferring unknown biological function by integration of GO annotations and gene expression data. CoRR Guillermo L. Grinblat, Ariel E. Bayá, Diego H. Milone, Pablo M. Granitto, Georgina Stegmayer
2015	J	`jnl`	EvoMS: An evolutionary tool to find de novo metabolic pathways. Biosyst. Matias Fernando Gerard, Georgina Stegmayer, Diego H. Milone
2015	J	`jnl`	Mining Gene Regulatory Networks by Neural Modeling of Expression Time-Series. IEEE ACM Trans. Comput. Biol. Bioinform. Mariano Rubiolo, Diego H. Milone, Georgina Stegmayer
2015	J	`jnl`	miRNAfe: A comprehensive tool for feature extraction in microRNA prediction. Biosyst. Cristian A. Yones, Georgina Stegmayer, Laura Kamenetzky, Diego H. Milone
2014	J	`jnl`	A Method to Improve the Analysis of Cluster Ensembles. Inteligencia Artif. Milton Pividori, Georgina Stegmayer, Diego H. Milone
2014	J	`jnl`	Improving clustering with metabolic pathway data. BMC Bioinform. Diego H. Milone, Georgina Stegmayer, Mariana G. Lopez, Laura Kamenetzky, Fernando Carrari
2014	J	`jnl`	Stability analysis in overlapped clusters. Inteligencia Artif. David Nazareno Campo, Georgina Stegmayer, Diego H. Milone
2013	J	`jnl`	An evolutionary approach for searching metabolic pathways. Comput. Biol. Medicine Matias Fernando Gerard, Georgina Stegmayer, Diego H. Milone
2013	J	`jnl`	Automatic recognition of quarantine citrus diseases. Expert Syst. Appl. Georgina Stegmayer, Diego H. Milone, Sergio Garran, Lourdes Burdyn
2013	J	`jnl`	Clustering biological data with SOMs: On topology preservation in non-linear dimensional reduction. Expert Syst. Appl. Diego H. Milone, Georgina Stegmayer, Laura Kamenetzky, Mariana G. Lopez, Fernando Carrari
2013	J	`jnl`	Compressing arrays of classifiers using Volterra-neural network: application to face recognition. Neural Comput. Appl. Mariano Rubiolo, Georgina Stegmayer, Diego H. Milone
2012	J	`jnl`	A Biologically Inspired Validity Measure for Comparison of Clustering Methods over Metabolic Data Sets. IEEE ACM Trans. Comput. Biol. Bioinform. Georgina Stegmayer, Diego H. Milone, Laura Kamenetzky, Mariana G. Lopez, Fernando Carrari
2012	J	`jnl`	ASAI - Guest Editorial. Inteligencia Artif. Marcelo Alejandro Falappa, Georgina Stegmayer
2012	J	`jnl`	An evolutionary approach to metabolic pathways search. Inteligencia Artif. Matias Fernando Gerard, Diego H. Milone, Georgina Stegmayer
2012	J	`jnl`	Data Mining Over Biological Datasets: An Integrated Approach Based on Computational Intelligence. IEEE Comput. Intell. Mag. Georgina Stegmayer, Matias Gerard, Diego H. Milone
2012	J	`jnl`	Knowledge discovery through ontology matching: An approach based on an Artificial Neural Network model. Inf. Sci. Mariano Rubiolo, María Laura Caliusco, Georgina Stegmayer, Mauricio Coronel, M. Gareli Fabrizi
2010	J	`jnl`	*omeSOM: a software for clustering and visualization of transcriptional and metabolite data mined from interspecific crosses of crop plants. BMC Bioinform. Diego H. Milone, Georgina Stegmayer, Laura Kamenetzky, Mariana G. Lopez, Je Min Lee, James J. Giovannoni, Fernando Carrari
2010	B	`conf`	Compressing a neural network classifier using a Volterra-Neural Network model. IJCNN Mariano Rubiolo, Georgina Stegmayer, Diego H. Milone
2009	J	`jnl`	Array of Multilayer Perceptrons with No-class Resampling Training for Face Recognition. Inteligencia Artif. D. Capello, César Ernesto Martínez, Diego H. Milone, Georgina Stegmayer
2009	—	`conf`	Artificial Life Contest - A Tool for Informal Teaching of Artificial Intelligence. CSEDU (1) Diego H. Milone, Georgina Stegmayer, Daniel Beber
2009	—	`conf`	Knowledge Source Discovery: An Experience Using Ontologies, WordNet and Artificial Neural Networks. KES (2) Mariano Rubiolo, María Laura Caliusco, Georgina Stegmayer, Matías Gareli, Mauricio Coronel
2009	J	`jnl`	Métodos de agrupamiento no supervisado para la integración de datos genómicos y metabólicos de múltiples líneas de introgresión. Inteligencia Artif. Diego H. Milone, Georgina Stegmayer, Matias Gerard, Laura Kamenetzky, Mariana G. Lopez, Fernando Carrari
2009	B	`conf`	Neural network model for integration and visualization of introgressed genome and metabolite data. IJCNN Georgina Stegmayer, Diego H. Milone, Laura Kamenetzky, Mariana G. Lopez, Fernando Carrari
2009	J	`jnl`	Volterra NN-based behavioral model for new wireless communications devices. Neural Comput. Appl. Georgina Stegmayer, Omar Chiotti
2008	—	`conf`	Estimation of the Particle Size Distribution of a Latex using a General Regression Neural Network. IFIP AI Georgina Stegmayer, Jorge R. Vega, Luis M. Gugliotta, Omar Chiotti
2007	—	`conf`	ANN-Agent for Distributed Knowledge Source Discovery. OTM Workshops (1) Georgina Stegmayer, María Laura Caliusco, Omar Chiotti, María Rosa Galli
2007	B	`conf`	Neural Networks and Volterra series for modeling new wireless communication devices. IJCNN Georgina Stegmayer
2006	—	`conf`	Neural Networks applied to wireless communications. IFIP AI Georgina Stegmayer, Omar Chiotti
2005	B	`conf`	A Neural Network that helps building a Nonlinear Dynamical model of a Power Amplifier. ESANN Georgina Stegmayer, Omar Chiotti, Giancarlo Orengo
2005	—	`conf`	Comparison of Volterra Models Extracted from a Neural Network for Nonlinear Systems Modeling. ICANN (2) Georgina Stegmayer
2005	—	`conf`	Identification of Frequency-Domain Volterra Model Using Neural Networks. ICANN (2) Georgina Stegmayer, Omar Chiotti
2005	J	`jnl`	Neural Networks and next generation wireless amplifiers. Res. Comput. Sci. Georgina Stegmayer
2005	J	`jnl`	Novel Neural Network application to nonlinear electronic devices: building a Volterra series model. Inteligencia Artif. Georgina Stegmayer, Omar Chiotti
2004	B	`conf`	Volterra series and neural networks to model an electronic device nonlinear behavior. IJCNN Georgina Stegmayer
2002	J	`jnl`	Knowledge Component of a Multiagent Distributed Decision Support System. CLEI Electron. J. Georgina Stegmayer, María Laura Caliusco, Omar Chiotti, María Rosa Galli
2001	—	`conf`	Knowledge Component of a Multiagent Distributed Decision Support System. JIISIC Georgina Stegmayer, María Laura Caliusco, Omar Chiotti, María Rosa Galli