Diego H. Milone

According to our database, Diego H. Milone authored at least 99 papers between 2001 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Demographically-Informed Prediction Discrepancy Index: Early Warnings of Demographic Biases for Unlabeled Populations.

Lucas Mansilla, Estanislao Claucich, Rodrigo Echeveste, Diego H. Milone, Enzo Ferrante

Trans. Mach. Learn. Res., 2024

Comprehensive benchmarking of large language models for RNA secondary structure prediction.

L. I. Zablocki, Leandro A Bugnon, M. Gerard, Leandro E. Di Persia, G. Stegmayer, Diego H. Milone

CoRR, 2024

Uncertainty in latent representations of variational autoencoders optimized for visual tasks.

Josefina Catoni, Enzo Ferrante, Diego H. Milone, Rodrigo Echeveste

CoRR, 2024

gGN: Representing the Gene Ontology as low-rank Gaussian distributions.

Alejandro A. Edera, Georgina Stegmayer, Diego H. Milone

Comput. Biol. Medicine, 2024

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

Leandro A Bugnon, Leandro E. Di Persia, Matias Gerard, Jonathan Raad, Santiago Prochetto, Emilio Fenoy, Uciel Chorostecki, Federico Ariel, Georgina Stegmayer, Diego H. Milone

Briefings Bioinform., 2024

2023

Improving Anatomical Plausibility in Medical Image Segmentation via Hybrid Graph Neural Networks: Applications to Chest X-Ray Analysis.

Nicolás Gaggion, Lucas Mansilla, Candelaria Mosquera, Diego H. Milone, Enzo Ferrante

IEEE Trans. Medical Imaging, February, 2023

Transfer learning: The key to functionally annotate the protein universe.

Leandro A Bugnon, Emilio Fenoy, Alejandro A. Edera, Jonathan Raad, Georgina Stegmayer, Diego H. Milone

Patterns, February, 2023

exp2GO: Improving Prediction of Functions in the Gene Ontology With Expression Data.

Leandro E. Di Persia, Tiago Lopez, Agustin Arce, Diego H. Milone, Georgina Stegmayer

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Multi-view Hybrid Graph Convolutional Network for Volume-to-mesh Reconstruction in Cardiovascular MRI.

Nicolás Gaggion, Benjamin A. Matheson, Yan Xia, Rodrigo Bonazzola, Nishant Ravikumar, Zeike A. Taylor, Diego H. Milone, Alejandro F. Frangi, Enzo Ferrante

CoRR, 2023

CheXmask: a large-scale dataset of anatomical segmentation masks for multi-center chest x-ray images.

Nicolás Gaggion, Candelaria Mosquera, Lucas Mansilla, Martina Aineseder, Diego H. Milone, Enzo Ferrante

CoRR, 2023

Multi-Center Anatomical Segmentation with Heterogeneous Labels Via Landmark-Based Models.

Nicolás Gaggion, Maria Vakalopoulou, Diego H. Milone, Enzo Ferrante

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Unsupervised Bias Discovery in Medical Image Segmentation.

Nicolás Gaggion, Rodrigo Echeveste, Lucas Mansilla, Diego H. Milone, Enzo Ferrante

Proceedings of the Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging, 2023

2022

Transfer Learning Based on Optimal Transport for Motor Imagery Brain-Computer Interfaces.

Victoria Peterson, Nicolás Nieto, Dominik Wyser, Olivier Lambercy, Roger Gassert, Diego H. Milone, Ruben D. Spies

IEEE Trans. Biomed. Eng., 2022

Using segment-based features of jaw movements to recognize foraging activities in grazing cattle.

José O. Chelotti, Sebastián R. Vanrell, Luciano S. Martínez Rau, Julio R. Galli, Santiago A. Utsumi, Alejandra M. Planisich, Suyai A. Almirón, Diego H. Milone, Leonardo L. Giovanini, Hugo Leonardo Rufiner

CoRR, 2022

miRe2e: a full end-to-end deep model based on transformers for prediction of pre-miRNAs.

Jonathan Raad, Leandro A Bugnon, Diego H. Milone, Georgina Stegmayer

Bioinform., 2022

Hierarchical deep learning for predicting GO annotations by integrating protein knowledge.

Gabriela Alejandra Merino, Rabie Saidi, Diego H. Milone, Georgina Stegmayer, Maria Jesus Martin

Bioinform., 2022

Anc2vec: embedding gene ontology terms by preserving ancestors relationships.

Alejandro A. Edera, Diego H. Milone, Georgina Stegmayer

Briefings Bioinform., 2022

Secondary structure prediction of long noncoding RNA: review and experimental comparison of existing approaches.

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

Briefings Bioinform., 2022

2021

Understanding the impact of class imbalance on the performance of chest x-ray image classifiers.

Candelaria Mosquera, Luciana Ferrer, Diego H. Milone, Daniel R. Luna, Enzo Ferrante

CoRR, 2021

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

Cristian A. Yones, Jonathan Raad, Leandro A Bugnon, Diego H. Milone, Georgina Stegmayer

Comput. Biol. Medicine, 2021

Deepred-Mt: Deep representation learning for predicting C-to-U RNA editing in plant mitochondria.

Alejandro Edera, Ian Small, Diego H. Milone, M. Virginia Sanchez-Puerta

Comput. Biol. Medicine, 2021

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

Gabriela Alejandra Merino, Jonathan Raad, Leandro A Bugnon, Cristian A. Yones, Laura Kamenetzky, Juan Claus, Federico Ariel, Diego H. Milone, Georgina Stegmayer

Bioinform., 2021

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

Leandro A Bugnon, Cristian A. Yones, Diego H. Milone, Georgina Stegmayer

Briefings Bioinform., 2021

Hybrid Graph Convolutional Neural Networks for Landmark-Based Anatomical Segmentation.

Nicolás Gaggion, Lucas Mansilla, Diego H. Milone, Enzo Ferrante

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Domain Generalization via Gradient Surgery.

Lucas Mansilla, Rodrigo Echeveste, Diego H. Milone, Enzo Ferrante

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Deep Neural Architectures for Highly Imbalanced Data in Bioinformatics.

Leandro A Bugnon, Cristian A. Yones, Diego H. Milone, Georgina Stegmayer

IEEE Trans. Neural Networks Learn. Syst., 2020

Dimensional Affect Recognition from HRV: An Approach Based on Supervised SOM and ELM.

Leandro A Bugnon, Rafael A. Calvo, Diego H. Milone

IEEE Trans. Affect. Comput., 2020

Learning deformable registration of medical images with anatomical constraints.

Lucas Mansilla, Diego H. Milone, Enzo Ferrante

Neural Networks, 2020

An online method for estimating grazing and rumination bouts using acoustic signals in grazing cattle.

José O. Chelotti, Sebastián R. Vanrell, Luciano Martínez Rau, Julio R. Galli, Alejandra M. Planisich, Santiago A. Utsumi, Diego H. Milone, Leonardo L. Giovanini, Hugo Leonardo Rufiner

Comput. Electron. Agric., 2020

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

Jonathan Raad, Georgina Stegmayer, Diego H. Milone

Bioinform., 2020

DL4papers: a deep learning approach for the automatic interpretation of scientific articles.

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

Bioinform., 2020

2019

Clustermatch: discovering hidden relations in highly diverse kinds of qualitative and quantitative data without standardization.

Milton Pividori, Andres Cernadas, Luis A. de Haro, Fernando Carrari, Georgina Stegmayer, Diego H. Milone

Bioinform., 2019

Predicting novel microRNA: a comprehensive comparison of machine learning approaches.

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

Briefings Bioinform., 2019

2018

Assessment of Homomorphic Analysis for Human Activity Recognition From Acceleration Signals.

Sebastián R. Vanrell, Diego H. Milone, Hugo Leonardo Rufiner

IEEE J. Biomed. Health Informatics, 2018

Inferring Unknown Biological Function by Integration of GO Annotations and Gene Expression Data.

Guillermo Leale, Ariel E. Bayá, Diego H. Milone, Pablo M. Granitto, Georgina Stegmayer

IEEE ACM Trans. Comput. Biol. Bioinform., 2018

Blankets Joint Posterior score for learning Markov network structures.

Federico Schlüter, Yanela Strappa, Diego H. Milone, Facundo Bromberg

Int. J. Approx. Reason., 2018

A regularity-based algorithm for identifying grazing and rumination bouts from acoustic signals in grazing cattle.

Sebastián R. Vanrell, José O. Chelotti, Julio R. Galli, Santiago A. Utsumi, Leonardo L. Giovanini, Hugo Leonardo Rufiner, Diego H. Milone

Comput. Electron. Agric., 2018

Genome-wide pre-miRNA discovery from few labeled examples.

Cristian A. Yones, Georgina Stegmayer, Diego H. Milone

Bioinform., 2018

Extreme learning machines for reverse engineering of gene regulatory networks from expression time series.

Mariano Rubiolo, Diego H. Milone, Georgina Stegmayer

Bioinform., 2018

On the Adaptability of Unsupervised CNN-Based Deformable Image Registration to Unseen Image Domains.

Enzo Ferrante, Ozan Oktay, Ben Glocker, Diego H. Milone

Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018

2017

High Class-Imbalance in pre-miRNA Prediction: A Novel Approach Based on deepSOM.

Georgina Stegmayer, Cristian A. Yones, Laura Kamenetzky, Diego H. Milone

IEEE ACM Trans. Comput. Biol. Bioinform., 2017

Emotion Recognition in Never-Seen Languages Using a Novel Ensemble Method with Emotion Profiles.

Enrique Marcelo Albornoz, Diego H. Milone

IEEE Trans. Affect. Comput., 2017

Feature extraction based on bio-inspired model for robust emotion recognition.

Enrique M. Albornoz, Diego H. Milone, Hugo Leonardo Rufiner

Soft Comput., 2017

Extreme learning machine prediction under high class imbalance in bioinformatics.

Tadeo Rodriguez, Leandro E. Di Persia, Diego H. Milone, Georgina Stegmayer

Proceedings of the 2017 XLIII Latin American Computer Conference, 2017

2016

Using multiple frequency bins for stabilization of FD-ICA algorithms.

Leandro E. Di Persia, Diego H. Milone

Signal Process., 2016

Feature optimisation for stress recognition in speech.

Leandro Daniel Vignolo, S. R. Mahadeva Prasanna, Samarendra Dandapat, Hugo Leonardo Rufiner, Diego H. Milone

Pattern Recognit. Lett., 2016

Diversity control for improving the analysis of consensus clustering.

Milton Pividori, Georgina Stegmayer, Diego H. Milone

Inf. Sci., 2016

Multi-objective optimisation of wavelet features for phoneme recognition.

Leandro Daniel Vignolo, Hugo Leonardo Rufiner, Diego H. Milone

IET Signal Process., 2016

A new index for clustering validation with overlapped clusters.

David Nazareno Campo, Georgina Stegmayer, Diego H. Milone

Expert Syst. Appl., 2016

Blankets Joint Posterior score for learning irregular Markov network structures.

Federico Schlüter, Yanela Strappa, Facundo Bromberg, Diego H. Milone

CoRR, 2016

Inferring unknown biological function by integration of GO annotations and gene expression data.

Guillermo L. Grinblat, Ariel E. Bayá, Diego H. Milone, Pablo M. Granitto, Georgina Stegmayer

CoRR, 2016

A real-time algorithm for acoustic monitoring of ingestive behavior of grazing cattle.

José O. Chelotti, Sebastián R. Vanrell, Diego H. Milone, Santiago A. Utsumi, Julio R. Galli, Hugo Leonardo Rufiner, Leonardo L. Giovanini

Comput. Electron. Agric., 2016

Evolutionary algorithm for metabolic pathways synthesis.

Matias Fernando Gerard, Georgina Stegmayer, Diego H. Milone

Biosyst., 2016

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

Georgina Stegmayer, Milton Pividori, Diego H. Milone

Briefings Bioinform., 2016

2015

Mining Gene Regulatory Networks by Neural Modeling of Expression Time-Series.

Mariano Rubiolo, Diego H. Milone, Georgina Stegmayer

IEEE ACM Trans. Comput. Biol. Bioinform., 2015

Wavelet shrinkage using adaptive structured sparsity constraints.

Diego Tomassi, Diego H. Milone, James D. B. Nelson

Signal Process., 2015

Denoising sound signals in a bioinspired non-negative spectro-temporal domain.

César Ernesto Martínez, John C. Goddard, Leandro E. Di Persia, Diego H. Milone, Hugo Leonardo Rufiner

Digit. Signal Process., 2015

miRNAfe: A comprehensive tool for feature extraction in microRNA prediction.

Cristian A. Yones, Georgina Stegmayer, Laura Kamenetzky, Diego H. Milone

Biosyst., 2015

EvoMS: An evolutionary tool to find de novo metabolic pathways.

Matias Fernando Gerard, Georgina Stegmayer, Diego H. Milone

Biosyst., 2015

2014

Improving clustering with metabolic pathway data.

Diego H. Milone, Georgina Stegmayer, Mariana G. Lopez, Laura Kamenetzky, Fernando Carrari

BMC Bioinform., 2014

A Method to Improve the Analysis of Cluster Ensembles.

Milton Pividori, Georgina Stegmayer, Diego H. Milone

Inteligencia Artif., 2014

Stability analysis in overlapped clusters.

David Nazareno Campo, Georgina Stegmayer, Diego H. Milone

Inteligencia Artif., 2014

2013

Compressing arrays of classifiers using Volterra-neural network: application to face recognition.

Mariano Rubiolo, Georgina Stegmayer, Diego H. Milone

Neural Comput. Appl., 2013

Feature selection for face recognition based on multi-objective evolutionary wrappers.

Leandro Daniel Vignolo, Diego H. Milone, Jacob Scharcanski

Expert Syst. Appl., 2013

Genetic wavelet packets for speech recognition.

Leandro Daniel Vignolo, Diego H. Milone, Hugo Leonardo Rufiner

Expert Syst. Appl., 2013

Automatic recognition of quarantine citrus diseases.

Georgina Stegmayer, Diego H. Milone, Sergio Garran, Lourdes Burdyn

Expert Syst. Appl., 2013

Clustering biological data with SOMs: On topology preservation in non-linear dimensional reduction.

Diego H. Milone, Georgina Stegmayer, Laura Kamenetzky, Mariana G. Lopez, Fernando Carrari

Expert Syst. Appl., 2013

An evolutionary approach for searching metabolic pathways.

Matias Fernando Gerard, Georgina Stegmayer, Diego H. Milone

Comput. Biol. Medicine, 2013

2012

A Biologically Inspired Validity Measure for Comparison of Clustering Methods over Metabolic Data Sets.

Georgina Stegmayer, Diego H. Milone, Laura Kamenetzky, Mariana G. Lopez, Fernando Carrari

IEEE ACM Trans. Comput. Biol. Bioinform., 2012

Bioinspired sparse spectro-temporal representation of speech for robust classification.

César Ernesto Martínez, John C. Goddard, Diego H. Milone, Hugo Leonardo Rufiner

Comput. Speech Lang., 2012

Data Mining Over Biological Datasets: An Integrated Approach Based on Computational Intelligence.

Georgina Stegmayer, Matias Gerard, Diego H. Milone

IEEE Comput. Intell. Mag., 2012

An evolutionary approach to metabolic pathways search.

Matias Fernando Gerard, Diego H. Milone, Georgina Stegmayer

Inteligencia Artif., 2012

An evolutionary wrapper for feature selection in face recognition applications.

Leandro Daniel Vignolo, Diego H. Milone, Carlos A. R. Behaine, Jacob Scharcanski

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

2011

Correlated Postfiltering and Mutual Information in Pseudoanechoic Model Based Blind Source Separation.

Leandro E. Di Persia, Diego H. Milone, Masuzo Yanagida

J. Signal Process. Syst., 2011

Evolutionary Splines for Cepstral Filterbank Optimization in Phoneme Classification.

Leandro Daniel Vignolo, Hugo Leonardo Rufiner, Diego H. Milone, John C. Goddard

EURASIP J. Adv. Signal Process., 2011

Spoken emotion recognition using hierarchical classifiers.

Enrique M. Albornoz, Diego H. Milone, Hugo Leonardo Rufiner

Comput. Speech Lang., 2011

Evolutionary cepstral coefficients.

Leandro Daniel Vignolo, Hugo Leonardo Rufiner, Diego H. Milone, John C. Goddard

Appl. Soft Comput., 2011

An ICA-based method for the segmentation of pigmented skin lesions in macroscopic images.

Pablo Gautério Cavalcanti, Jacob Scharcanski, Leandro E. Di Persia, Diego H. Milone

Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2010

Minimum classification error learning for sequential data in the wavelet domain.

Diego Tomassi, Diego H. Milone, Liliana Forzani

Pattern Recognit., 2010

Denoising and recognition using hidden Markov models with observation distributions modeled by hidden Markov trees.

Diego H. Milone, Leandro E. Di Persia, María Eugenia Torres

Pattern Recognit., 2010

*omeSOM: a software for clustering and visualization of transcriptional and metabolite data mined from interspecific crosses of crop plants.

Diego H. Milone, Georgina Stegmayer, Laura Kamenetzky, Mariana G. Lopez, Je Min Lee, James J. Giovannoni, Fernando Carrari

BMC Bioinform., 2010

Compressing a neural network classifier using a Volterra-Neural Network model.

Mariano Rubiolo, Georgina Stegmayer, Diego H. Milone

Proceedings of the International Joint Conference on Neural Networks, 2010

2009

Indeterminacy Free Frequency-Domain Blind Separation of Reverberant Audio Sources.

Leandro E. Di Persia, Diego H. Milone, Masuzo Yanagida

IEEE Trans. Speech Audio Process., 2009

Minimum Classification Error Training of Hidden Markov Models for Sequential Data in the Wavelet Domain.

Diego Tomassi, Diego H. Milone, Liliana Forzani

Inteligencia Artif., 2009

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

Diego H. Milone, Georgina Stegmayer, Matias Gerard, Laura Kamenetzky, Mariana G. Lopez, Fernando Carrari

Inteligencia Artif., 2009

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

D. Capello, César Ernesto Martínez, Diego H. Milone, Georgina Stegmayer

Inteligencia Artif., 2009

Neural network model for integration and visualization of introgressed genome and metabolite data.

Georgina Stegmayer, Diego H. Milone, Laura Kamenetzky, Mariana G. Lopez, Fernando Carrari

Proceedings of the International Joint Conference on Neural Networks, 2009

Artificial Life Contest - A Tool for Informal Teaching of Artificial Intelligence.

Diego H. Milone, Georgina Stegmayer, Daniel Beber

Proceedings of the CSEDU 2009 - Proceedings of the First International Conference on Computer Supported Education, Lisboa, Portugal, March 23-26, 2009, 2009

Multiple Feature Extraction and Hierarchical Classifiers for Emotions Recognition.

Enrique M. Albornoz, Diego H. Milone, Hugo Leonardo Rufiner

Proceedings of the Development of Multimodal Interfaces: Active Listening and Synchrony, 2009

Genetic Optimization of Cepstrum Filterbank for Phoneme Classification.

Leandro Daniel Vignolo, Hugo Leonardo Rufiner, Diego H. Milone, John C. Goddard

Proceedings of the BIOSIGNALS 2009, 2009

2008

Perceptual evaluation of blind source separation for robust speech recognition.

Leandro E. Di Persia, Diego H. Milone, Hugo Leonardo Rufiner, Masuzo Yanagida

Signal Process., 2008

Learning Hidden Markov Models with Hidden Markov Trees as Observation Distributions.

Diego H. Milone, Leandro E. Di Persia

Inteligencia Artif., 2008

2007

Objective quality evaluation in blind source separation for speech recognition in a real room.

Leandro E. Di Persia, Masuzo Yanagida, Hugo Leonardo Rufiner, Diego H. Milone

Signal Process., 2007

Adaptive learning of polynomial networks, genetic programming, backpropagation and Bayesian methods, series on genetic and evolutionary computation.

Diego H. Milone

Genet. Program. Evolvable Mach., 2007

Auditory Cortical Representations of Speech Signals for Phoneme Classification.

Hugo Leonardo Rufiner, César Ernesto Martínez, Diego H. Milone, John C. Goddard

Proceedings of the MICAI 2007: Advances in Artificial Intelligence, 2007

An EM Algorithm to Learn Sequences in the Wavelet Domain.

Diego H. Milone, Leandro E. Di Persia

Proceedings of the MICAI 2007: Advances in Artificial Intelligence, 2007

2003

Prosodic and accentual information for automatic speech recognition.

Diego H. Milone, Antonio J. Rubio

IEEE Trans. Speech Audio Process., 2003

2002

Evolutionary algorithm for speech segmentation.

Diego H. Milone, Juan Julián Merelo, Hugo Leonardo Rufiner

Proceedings of the 2002 Congress on Evolutionary Computation, 2002

2001

A new technique based on augmented language models to improve the performance of spoken dialogue systems.

Ramón López-Cózar, Diego H. Milone

Proceedings of the EUROSPEECH 2001 Scandinavia, 2001