Diego H. Milone

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 58

Top Venues

CoRR

Bioinform.

Briefings Bioinform.

IEEE ACM Trans. Comput. Biol. Bioinform.

Publications

Josefina Catoni, Enzo Ferrante, Diego H. Milone, Rodrigo Echeveste
Uncertainty in latent representations of variational autoencoders optimized for visual tasks. CoRR (2024)
Lucas Mansilla, Estanislao Claucich, Rodrigo Echeveste, Diego H. Milone, Enzo Ferrante
Demographically-Informed Prediction Discrepancy Index: Early Warnings of Demographic Biases for Unlabeled Populations. Trans. Mach. Learn. Res. 2024 (2024)
Leandro A Bugnon, Leandro E. Di Persia, Matias Gerard, Jonathan Raad, Santiago Prochetto, Emilio Fenoy, Uciel Chorostecki, Federico Ariel, Georgina Stegmayer, Diego H. Milone
sincFold: end-to-end learning of short- and long-range interactions in RNA secondary structure. Briefings Bioinform. 25 (4) (2024)
Nicolás Gaggion, Maria Vakalopoulou, Diego H. Milone, Enzo Ferrante
Multi-Center Anatomical Segmentation with Heterogeneous Labels Via Landmark-Based Models. ISBI (2023)
Nicolás Gaggion, Rodrigo Echeveste, Lucas Mansilla, Diego H. Milone, Enzo Ferrante
Unsupervised Bias Discovery in Medical Image Segmentation. CLIP/FAIMI/EPIMI@MICCAI (2023)
Nicolás Gaggion, Lucas Mansilla, Candelaria Mosquera, Diego H. Milone, Enzo Ferrante
Improving Anatomical Plausibility in Medical Image Segmentation via Hybrid Graph Neural Networks: Applications to Chest X-Ray Analysis. IEEE Trans. Medical Imaging 42 (2) (2023)
Nicolás Gaggion, Candelaria Mosquera, Lucas Mansilla, Martina Aineseder, Diego H. Milone, Enzo Ferrante
CheXmask: a large-scale dataset of anatomical segmentation masks for multi-center chest x-ray images. CoRR (2023)
Leandro E. Di Persia, Tiago Lopez, Agustin Arce, Diego H. Milone, Georgina Stegmayer
exp2GO: Improving Prediction of Functions in the Gene Ontology With Expression Data. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (2) (2023)
Nicolás Gaggion, Rodrigo Echeveste, Lucas Mansilla, Diego H. Milone, Enzo Ferrante
Unsupervised bias discovery in medical image segmentation. CoRR (2023)
Nicolás Gaggion, Benjamin A. Matheson, Yan Xia, Rodrigo Bonazzola, Nishant Ravikumar, Zeike A. Taylor, Diego H. Milone, Alejandro F. Frangi, Enzo Ferrante
Multi-view Hybrid Graph Convolutional Network for Volume-to-mesh Reconstruction in Cardiovascular MRI. CoRR (2023)
Leandro A Bugnon, Emilio Fenoy, Alejandro A. Edera, Jonathan Raad, Georgina Stegmayer, Diego H. Milone
Transfer learning: The key to functionally annotate the protein universe. Patterns 4 (2) (2023)
Alejandro A. Edera, Diego H. Milone, Georgina Stegmayer
Anc2vec: embedding gene ontology terms by preserving ancestors relationships. Briefings Bioinform. 23 (2) (2022)
Nicolás Gaggion, Lucas Mansilla, Candelaria Mosquera, Diego H. Milone, Enzo Ferrante
Improving anatomical plausibility in medical image segmentation via hybrid graph neural networks: applications to chest x-ray analysis. CoRR (2022)
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
Using segment-based features of jaw movements to recognize foraging activities in grazing cattle. CoRR (2022)
Gabriela Alejandra Merino, Rabie Saidi, Diego H. Milone, Georgina Stegmayer, Maria Jesus Martin
Hierarchical deep learning for predicting GO annotations by integrating protein knowledge. Bioinform. 38 (19) (2022)
Victoria Peterson, Nicolás Nieto, Dominik Wyser, Olivier Lambercy, Roger Gassert, Diego H. Milone, Ruben D. Spies
Transfer Learning Based on Optimal Transport for Motor Imagery Brain-Computer Interfaces. IEEE Trans. Biomed. Eng. 69 (2) (2022)
Jonathan Raad, Leandro A Bugnon, Diego H. Milone, Georgina Stegmayer
miRe2e: a full end-to-end deep model based on transformers for prediction of pre-miRNAs. Bioinform. 38 (5) (2022)
Nicolás Gaggion, Maria Vakalopoulou, Diego H. Milone, Enzo Ferrante
Multi-center anatomical segmentation with heterogeneous labels via landmark-based models. CoRR (2022)
Leandro A Bugnon, Alejandro A. Edera, S. Prochetto, Matias Gerard, Jonathan Raad, E. Fenoy, Mariano Rubiolo, Uciel Chorostecki, Toni Gabaldón, Federico Ariel, Leandro E. Di Persia, Diego H. Milone, Georgina Stegmayer
Secondary structure prediction of long noncoding RNA: review and experimental comparison of existing approaches. Briefings Bioinform. 23 (4) (2022)
Leandro A Bugnon, Cristian A. Yones, Diego H. Milone, Georgina Stegmayer
Genome-wide discovery of pre-miRNAs: comparison of recent approaches based on machine learning. Briefings Bioinform. 22 (3) (2021)
Nicolás Gaggion, Lucas Mansilla, Diego H. Milone, Enzo Ferrante
Hybrid graph convolutional neural networks for landmark-based anatomical segmentation. CoRR (2021)
Gabriela Alejandra Merino, Jonathan Raad, Leandro A Bugnon, Cristian A. Yones, Laura Kamenetzky, Juan Claus, Federico Ariel, Diego H. Milone, Georgina Stegmayer
Novel SARS-CoV-2 encoded small RNAs in the passage to humans. Bioinform. 36 (24) (2021)
Lucas Mansilla, Rodrigo Echeveste, Diego H. Milone, Enzo Ferrante
Domain Generalization via Gradient Surgery. ICCV (2021)
Lucas Mansilla, Rodrigo Echeveste, Diego H. Milone, Enzo Ferrante
Domain Generalization via Gradient Surgery. CoRR (2021)
Candelaria Mosquera, Luciana Ferrer, Diego H. Milone, Daniel R. Luna, Enzo Ferrante
Understanding the impact of class imbalance on the performance of chest x-ray image classifiers. CoRR (2021)
Cristian A. Yones, Jonathan Raad, Leandro A Bugnon, Diego H. Milone, Georgina Stegmayer
High precision in microRNA prediction: A novel genome-wide approach with convolutional deep residual networks. Comput. Biol. Medicine 134 (2021)
Nicolás Gaggion, Lucas Mansilla, Diego H. Milone, Enzo Ferrante
Hybrid Graph Convolutional Neural Networks for Landmark-Based Anatomical Segmentation. MICCAI (1) (2021)
Alejandro Edera, Ian Small, Diego H. Milone, M. Virginia Sanchez-Puerta
Deepred-Mt: Deep representation learning for predicting C-to-U RNA editing in plant mitochondria. Comput. Biol. Medicine 136 (2021)
Lucas Mansilla, Diego H. Milone, Enzo Ferrante
Learning deformable registration of medical images with anatomical constraints. Neural Networks 124 (2020)
Jonathan Raad, Georgina Stegmayer, Diego H. Milone
Complexity measures of the mature miRNA for improving pre-miRNAs prediction. Bioinform. 36 (8) (2020)
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
An online method for estimating grazing and rumination bouts using acoustic signals in grazing cattle. Comput. Electron. Agric. 173 (2020)
Leandro A Bugnon, Rafael A. Calvo, Diego H. Milone
Dimensional Affect Recognition from HRV: An Approach Based on Supervised SOM and ELM. IEEE Trans. Affect. Comput. 11 (1) (2020)
Lucas Mansilla, Diego H. Milone, Enzo Ferrante
Learning Deformable Registration of Medical Images with Anatomical Constraints. CoRR (2020)
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
DL4papers: a deep learning approach for the automatic interpretation of scientific articles. Bioinform. 36 (11) (2020)
Leandro A Bugnon, Cristian A. Yones, Diego H. Milone, Georgina Stegmayer
Deep Neural Architectures for Highly Imbalanced Data in Bioinformatics. IEEE Trans. Neural Networks Learn. Syst. 31 (8) (2020)
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
Predicting novel microRNA: a comprehensive comparison of machine learning approaches. Briefings Bioinform. 20 (5) (2019)
Milton Pividori, Andres Cernadas, Luis A. de Haro, Fernando Carrari, Georgina Stegmayer, Diego H. Milone
Clustermatch: discovering hidden relations in highly diverse kinds of qualitative and quantitative data without standardization. Bioinform. 35 (11) (2019)
Federico Schlüter, Yanela Strappa, Diego H. Milone, Facundo Bromberg
Blankets Joint Posterior score for learning Markov network structures. Int. J. Approx. Reason. 92 (2018)
Enzo Ferrante, Ozan Oktay, Ben Glocker, Diego H. Milone
On the Adaptability of Unsupervised CNN-Based Deformable Image Registration to Unseen Image Domains. MLMI@MICCAI (2018)
Sebastián R. Vanrell, José O. Chelotti, Julio R. Galli, Santiago A. Utsumi, Leonardo L. Giovanini, Hugo Leonardo Rufiner, Diego H. Milone
A regularity-based algorithm for identifying grazing and rumination bouts from acoustic signals in grazing cattle. Comput. Electron. Agric. 151 (2018)
Guillermo Leale, Ariel E. Bayá, Diego H. Milone, Pablo M. Granitto, Georgina Stegmayer
Inferring Unknown Biological Function by Integration of GO Annotations and Gene Expression Data. IEEE ACM Trans. Comput. Biol. Bioinform. 15 (1) (2018)
Sebastián R. Vanrell, Diego H. Milone, Hugo Leonardo Rufiner
Assessment of Homomorphic Analysis for Human Activity Recognition From Acceleration Signals. IEEE J. Biomed. Health Informatics 22 (4) (2018)
Cristian A. Yones, Georgina Stegmayer, Diego H. Milone
Genome-wide pre-miRNA discovery from few labeled examples. Bioinform. 34 (4) (2018)
Mariano Rubiolo, Diego H. Milone, Georgina Stegmayer
Extreme learning machines for reverse engineering of gene regulatory networks from expression time series. Bioinform. 34 (7) (2018)
Georgina Stegmayer, Cristian A. Yones, Laura Kamenetzky, Diego H. Milone
High Class-Imbalance in pre-miRNA Prediction: A Novel Approach Based on deepSOM. IEEE ACM Trans. Comput. Biol. Bioinform. 14 (6) (2017)
Enrique Marcelo Albornoz, Diego H. Milone
Emotion Recognition in Never-Seen Languages Using a Novel Ensemble Method with Emotion Profiles. IEEE Trans. Affect. Comput. 8 (1) (2017)
Enrique M. Albornoz, Diego H. Milone, Hugo Leonardo Rufiner
Feature extraction based on bio-inspired model for robust emotion recognition. Soft Comput. 21 (17) (2017)
Tadeo Rodriguez, Leandro E. Di Persia, Diego H. Milone, Georgina Stegmayer
Extreme learning machine prediction under high class imbalance in bioinformatics. CLEI (2017)
Georgina Stegmayer, Milton Pividori, Diego H. Milone
A very simple and fast way to access and validate algorithms in reproducible research. Briefings Bioinform. 17 (1) (2016)
Matias Fernando Gerard, Georgina Stegmayer, Diego H. Milone
Evolutionary algorithm for metabolic pathways synthesis. Biosyst. 144 (2016)
Guillermo L. Grinblat, Ariel E. Bayá, Diego H. Milone, Pablo M. Granitto, Georgina Stegmayer
Inferring unknown biological function by integration of GO annotations and gene expression data. CoRR (2016)
Leandro Daniel Vignolo, S. R. Mahadeva Prasanna, Samarendra Dandapat, Hugo Leonardo Rufiner, Diego H. Milone
Feature optimisation for stress recognition in speech. Pattern Recognit. Lett. 84 (2016)
Leandro E. Di Persia, Diego H. Milone
Using multiple frequency bins for stabilization of FD-ICA algorithms. Signal Process. 119 (2016)
David Nazareno Campo, Georgina Stegmayer, Diego H. Milone
A new index for clustering validation with overlapped clusters. Expert Syst. Appl. 64 (2016)
Federico Schlüter, Yanela Strappa, Facundo Bromberg, Diego H. Milone
Blankets Joint Posterior score for learning irregular Markov network structures. CoRR (2016)
Leandro Daniel Vignolo, Hugo Leonardo Rufiner, Diego H. Milone
Multi-objective optimisation of wavelet features for phoneme recognition. IET Signal Process. 10 (6) (2016)
José O. Chelotti, Sebastián R. Vanrell, Diego H. Milone, Santiago A. Utsumi, Julio R. Galli, Hugo Leonardo Rufiner, Leonardo L. Giovanini
A real-time algorithm for acoustic monitoring of ingestive behavior of grazing cattle. Comput. Electron. Agric. 127 (2016)
Milton Pividori, Georgina Stegmayer, Diego H. Milone
Diversity control for improving the analysis of consensus clustering. Inf. Sci. (2016)
Mariano Rubiolo, Diego H. Milone, Georgina Stegmayer
Mining Gene Regulatory Networks by Neural Modeling of Expression Time-Series. IEEE ACM Trans. Comput. Biol. Bioinform. 12 (6) (2015)
Diego Tomassi, Diego H. Milone, James D. B. Nelson
Wavelet shrinkage using adaptive structured sparsity constraints. Signal Process. 106 (2015)
Matias Fernando Gerard, Georgina Stegmayer, Diego H. Milone
EvoMS: An evolutionary tool to find de novo metabolic pathways. Biosyst. 134 (2015)
Cristian A. Yones, Georgina Stegmayer, Laura Kamenetzky, Diego H. Milone
miRNAfe: A comprehensive tool for feature extraction in microRNA prediction. Biosyst. 138 (2015)
César Ernesto Martínez, John C. Goddard, Leandro E. Di Persia, Diego H. Milone, Hugo Leonardo Rufiner
Denoising sound signals in a bioinspired non-negative spectro-temporal domain. Digit. Signal Process. 38 (2015)
Milton Pividori, Georgina Stegmayer, Diego H. Milone
A Method to Improve the Analysis of Cluster Ensembles. Inteligencia Artif. 17 (53) (2014)
David Nazareno Campo, Georgina Stegmayer, Diego H. Milone
Stability analysis in overlapped clusters. Inteligencia Artif. 17 (53) (2014)
Diego H. Milone, Georgina Stegmayer, Mariana G. Lopez, Laura Kamenetzky, Fernando Carrari
Improving clustering with metabolic pathway data. BMC Bioinform. 15 (2014)
Matias Fernando Gerard, Georgina Stegmayer, Diego H. Milone
An evolutionary approach for searching metabolic pathways. Comput. Biol. Medicine 43 (11) (2013)
Diego H. Milone, Georgina Stegmayer, Laura Kamenetzky, Mariana G. Lopez, Fernando Carrari
Clustering biological data with SOMs: On topology preservation in non-linear dimensional reduction. Expert Syst. Appl. 40 (9) (2013)
Leandro Daniel Vignolo, Diego H. Milone, Jacob Scharcanski
Feature selection for face recognition based on multi-objective evolutionary wrappers. Expert Syst. Appl. 40 (13) (2013)
Georgina Stegmayer, Diego H. Milone, Sergio Garran, Lourdes Burdyn
Automatic recognition of quarantine citrus diseases. Expert Syst. Appl. 40 (9) (2013)
Mariano Rubiolo, Georgina Stegmayer, Diego H. Milone
Compressing arrays of classifiers using Volterra-neural network: application to face recognition. Neural Comput. Appl. 23 (6) (2013)
Leandro Daniel Vignolo, Diego H. Milone, Hugo Leonardo Rufiner
Genetic wavelet packets for speech recognition. Expert Syst. Appl. 40 (6) (2013)
Georgina Stegmayer, Matias Gerard, Diego H. Milone
Data Mining Over Biological Datasets: An Integrated Approach Based on Computational Intelligence. IEEE Comput. Intell. Mag. 7 (4) (2012)
César Ernesto Martínez, John C. Goddard, Diego H. Milone, Hugo Leonardo Rufiner
Bioinspired sparse spectro-temporal representation of speech for robust classification. Comput. Speech Lang. 26 (5) (2012)
Matias Fernando Gerard, Diego H. Milone, Georgina Stegmayer
An evolutionary approach to metabolic pathways search. Inteligencia Artif. 15 (49) (2012)
Georgina Stegmayer, Diego H. Milone, Laura Kamenetzky, Mariana G. Lopez, Fernando Carrari
A Biologically Inspired Validity Measure for Comparison of Clustering Methods over Metabolic Data Sets. IEEE ACM Trans. Comput. Biol. Bioinform. 9 (3) (2012)
Leandro Daniel Vignolo, Diego H. Milone, Carlos A. R. Behaine, Jacob Scharcanski
An evolutionary wrapper for feature selection in face recognition applications. SMC (2012)
Leandro Daniel Vignolo, Hugo Leonardo Rufiner, Diego H. Milone, John C. Goddard
Evolutionary Splines for Cepstral Filterbank Optimization in Phoneme Classification. EURASIP J. Adv. Signal Process. 2011 (2011)
Pablo Gautério Cavalcanti, Jacob Scharcanski, Leandro E. Di Persia, Diego H. Milone
An ICA-based method for the segmentation of pigmented skin lesions in macroscopic images. EMBC (2011)
Enrique M. Albornoz, Diego H. Milone, Hugo Leonardo Rufiner
Spoken emotion recognition using hierarchical classifiers. Comput. Speech Lang. 25 (3) (2011)
Leandro Daniel Vignolo, Hugo Leonardo Rufiner, Diego H. Milone, John C. Goddard
Evolutionary cepstral coefficients. Appl. Soft Comput. 11 (4) (2011)
Leandro E. Di Persia, Diego H. Milone, Masuzo Yanagida
Correlated Postfiltering and Mutual Information in Pseudoanechoic Model Based Blind Source Separation. J. Signal Process. Syst. 63 (3) (2011)
Diego Tomassi, Diego H. Milone, Liliana Forzani
Minimum classification error learning for sequential data in the wavelet domain. Pattern Recognit. 43 (12) (2010)
Diego H. Milone, Leandro E. Di Persia, María Eugenia Torres
Denoising and recognition using hidden Markov models with observation distributions modeled by hidden Markov trees. Pattern Recognit. 43 (4) (2010)
Mariano Rubiolo, Georgina Stegmayer, Diego H. Milone
Compressing a neural network classifier using a Volterra-Neural Network model. IJCNN (2010)
Diego H. Milone, Georgina Stegmayer, Laura Kamenetzky, Mariana G. Lopez, Je Min Lee, James J. Giovannoni, Fernando Carrari
*omeSOM: a software for clustering and visualization of transcriptional and metabolite data mined from interspecific crosses of crop plants. BMC Bioinform. 11 (2010)
Diego H. Milone, Georgina Stegmayer, Matias Gerard, Laura Kamenetzky, Mariana G. Lopez, Fernando Carrari
Métodos de agrupamiento no supervisado para la integración de datos genómicos y metabólicos de múltiples líneas de introgresión. Inteligencia Artif. 13 (44) (2009)
Georgina Stegmayer, Diego H. Milone, Laura Kamenetzky, Mariana G. Lopez, Fernando Carrari
Neural network model for integration and visualization of introgressed genome and metabolite data. IJCNN (2009)
Diego Tomassi, Diego H. Milone, Liliana Forzani
Minimum Classification Error Training of Hidden Markov Models for Sequential Data in the Wavelet Domain. Inteligencia Artif. 13 (44) (2009)
Enrique M. Albornoz, Diego H. Milone, Hugo Leonardo Rufiner
Multiple Feature Extraction and Hierarchical Classifiers for Emotions Recognition. COST 2102 Training School (2009)
Leandro Daniel Vignolo, Hugo Leonardo Rufiner, Diego H. Milone, John C. Goddard
Genetic Optimization of Cepstrum Filterbank for Phoneme Classification. BIOSIGNALS (2009)
D. Capello, César Ernesto Martínez, Diego H. Milone, Georgina Stegmayer
Array of Multilayer Perceptrons with No-class Resampling Training for Face Recognition. Inteligencia Artif. 13 (44) (2009)
Diego H. Milone, Georgina Stegmayer, Daniel Beber
Artificial Life Contest - A Tool for Informal Teaching of Artificial Intelligence. CSEDU (1) (2009)
Leandro E. Di Persia, Diego H. Milone, Masuzo Yanagida
Indeterminacy Free Frequency-Domain Blind Separation of Reverberant Audio Sources. IEEE Trans. Speech Audio Process. 17 (2) (2009)
Leandro E. Di Persia, Diego H. Milone, Hugo Leonardo Rufiner, Masuzo Yanagida
Perceptual evaluation of blind source separation for robust speech recognition. Signal Process. 88 (10) (2008)
Diego H. Milone, Leandro E. Di Persia
Learning Hidden Markov Models with Hidden Markov Trees as Observation Distributions. Inteligencia Artif. 12 (37) (2008)
Diego H. Milone
Adaptive learning of polynomial networks, genetic programming, backpropagation and Bayesian methods, series on genetic and evolutionary computation. Genet. Program. Evolvable Mach. 8 (3) (2007)
Leandro E. Di Persia, Masuzo Yanagida, Hugo Leonardo Rufiner, Diego H. Milone
Objective quality evaluation in blind source separation for speech recognition in a real room. Signal Process. 87 (8) (2007)
Diego H. Milone, Leandro E. Di Persia
An EM Algorithm to Learn Sequences in the Wavelet Domain. MICAI (2007)
Hugo Leonardo Rufiner, César Ernesto Martínez, Diego H. Milone, John C. Goddard
Auditory Cortical Representations of Speech Signals for Phoneme Classification. MICAI (2007)

Diego H. Milone.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Diego H. Milone