Diego H. Milone

Orcid: 0000-0003-2182-4351

According to our database1, Diego H. Milone authored at least 94 papers between 2001 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Improving Anatomical Plausibility in Medical Image Segmentation via Hybrid Graph Neural Networks: Applications to Chest X-Ray Analysis.
IEEE Trans. Medical Imaging, February, 2023

Transfer learning: The key to functionally annotate the protein universe.
Patterns, February, 2023

exp2GO: Improving Prediction of Functions in the Gene Ontology With Expression Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Multi-view Hybrid Graph Convolutional Network for Volume-to-mesh Reconstruction in Cardiovascular MRI.
CoRR, 2023

CheXmask: a large-scale dataset of anatomical segmentation masks for multi-center chest x-ray images.
CoRR, 2023

Multi-Center Anatomical Segmentation with Heterogeneous Labels Via Landmark-Based Models.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Unsupervised Bias Discovery in Medical Image Segmentation.
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.
IEEE Trans. Biomed. Eng., 2022

Using segment-based features of jaw movements to recognize foraging activities in grazing cattle.
CoRR, 2022

miRe2e: a full end-to-end deep model based on transformers for prediction of pre-miRNAs.
Bioinform., 2022

Hierarchical deep learning for predicting GO annotations by integrating protein knowledge.
Bioinform., 2022

Anc2vec: embedding gene ontology terms by preserving ancestors relationships.
Briefings Bioinform., 2022

Secondary structure prediction of long noncoding RNA: review and experimental comparison of existing approaches.
Briefings Bioinform., 2022

2021
Understanding the impact of class imbalance on the performance of chest x-ray image classifiers.
CoRR, 2021

High precision in microRNA prediction: A novel genome-wide approach with convolutional deep residual networks.
Comput. Biol. Medicine, 2021

Deepred-Mt: Deep representation learning for predicting C-to-U RNA editing in plant mitochondria.
Comput. Biol. Medicine, 2021

Novel SARS-CoV-2 encoded small RNAs in the passage to humans.
Bioinform., 2021

Genome-wide discovery of pre-miRNAs: comparison of recent approaches based on machine learning.
Briefings Bioinform., 2021

Hybrid Graph Convolutional Neural Networks for Landmark-Based Anatomical Segmentation.
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.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Deep Neural Architectures for Highly Imbalanced Data in Bioinformatics.
IEEE Trans. Neural Networks Learn. Syst., 2020

Dimensional Affect Recognition from HRV: An Approach Based on Supervised SOM and ELM.
IEEE Trans. Affect. Comput., 2020

Learning deformable registration of medical images with anatomical constraints.
Neural Networks, 2020

An online method for estimating grazing and rumination bouts using acoustic signals in grazing cattle.
Comput. Electron. Agric., 2020

Complexity measures of the mature miRNA for improving pre-miRNAs prediction.
Bioinform., 2020

DL4papers: a deep learning approach for the automatic interpretation of scientific articles.
Bioinform., 2020

2019
Clustermatch: discovering hidden relations in highly diverse kinds of qualitative and quantitative data without standardization.
Bioinform., 2019

Predicting novel microRNA: a comprehensive comparison of machine learning approaches.
Briefings Bioinform., 2019

2018
Assessment of Homomorphic Analysis for Human Activity Recognition From Acceleration Signals.
IEEE J. Biomed. Health Informatics, 2018

Inferring Unknown Biological Function by Integration of GO Annotations and Gene Expression Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018

Blankets Joint Posterior score for learning Markov network structures.
Int. J. Approx. Reason., 2018

A regularity-based algorithm for identifying grazing and rumination bouts from acoustic signals in grazing cattle.
Comput. Electron. Agric., 2018

Genome-wide pre-miRNA discovery from few labeled examples.
Bioinform., 2018

Extreme learning machines for reverse engineering of gene regulatory networks from expression time series.
Bioinform., 2018

On the Adaptability of Unsupervised CNN-Based Deformable Image Registration to Unseen Image Domains.
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.
IEEE ACM Trans. Comput. Biol. Bioinform., 2017

Emotion Recognition in Never-Seen Languages Using a Novel Ensemble Method with Emotion Profiles.
IEEE Trans. Affect. Comput., 2017

Feature extraction based on bio-inspired model for robust emotion recognition.
Soft Comput., 2017

Extreme learning machine prediction under high class imbalance in bioinformatics.
Proceedings of the 2017 XLIII Latin American Computer Conference, 2017

2016
Using multiple frequency bins for stabilization of FD-ICA algorithms.
Signal Process., 2016

Feature optimisation for stress recognition in speech.
Pattern Recognit. Lett., 2016

Diversity control for improving the analysis of consensus clustering.
Inf. Sci., 2016

Multi-objective optimisation of wavelet features for phoneme recognition.
IET Signal Process., 2016

A new index for clustering validation with overlapped clusters.
Expert Syst. Appl., 2016

Blankets Joint Posterior score for learning irregular Markov network structures.
CoRR, 2016

Inferring unknown biological function by integration of GO annotations and gene expression data.
CoRR, 2016

A real-time algorithm for acoustic monitoring of ingestive behavior of grazing cattle.
Comput. Electron. Agric., 2016

Evolutionary algorithm for metabolic pathways synthesis.
Biosyst., 2016

A very simple and fast way to access and validate algorithms in reproducible research.
Briefings Bioinform., 2016

2015
Mining Gene Regulatory Networks by Neural Modeling of Expression Time-Series.
IEEE ACM Trans. Comput. Biol. Bioinform., 2015

Wavelet shrinkage using adaptive structured sparsity constraints.
Signal Process., 2015

Denoising sound signals in a bioinspired non-negative spectro-temporal domain.
Digit. Signal Process., 2015

miRNAfe: A comprehensive tool for feature extraction in microRNA prediction.
Biosyst., 2015

EvoMS: An evolutionary tool to find de novo metabolic pathways.
Biosyst., 2015

2014
Improving clustering with metabolic pathway data.
BMC Bioinform., 2014

A Method to Improve the Analysis of Cluster Ensembles.
Inteligencia Artif., 2014

Stability analysis in overlapped clusters.
Inteligencia Artif., 2014

2013
Compressing arrays of classifiers using Volterra-neural network: application to face recognition.
Neural Comput. Appl., 2013

Feature selection for face recognition based on multi-objective evolutionary wrappers.
Expert Syst. Appl., 2013

Genetic wavelet packets for speech recognition.
Expert Syst. Appl., 2013

Automatic recognition of quarantine citrus diseases.
Expert Syst. Appl., 2013

Clustering biological data with SOMs: On topology preservation in non-linear dimensional reduction.
Expert Syst. Appl., 2013

An evolutionary approach for searching metabolic pathways.
Comput. Biol. Medicine, 2013

2012
A Biologically Inspired Validity Measure for Comparison of Clustering Methods over Metabolic Data Sets.
IEEE ACM Trans. Comput. Biol. Bioinform., 2012

Bioinspired sparse spectro-temporal representation of speech for robust classification.
Comput. Speech Lang., 2012

Data Mining Over Biological Datasets: An Integrated Approach Based on Computational Intelligence.
IEEE Comput. Intell. Mag., 2012

An evolutionary approach to metabolic pathways search.
Inteligencia Artif., 2012

An evolutionary wrapper for feature selection in face recognition applications.
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.
J. Signal Process. Syst., 2011

Evolutionary Splines for Cepstral Filterbank Optimization in Phoneme Classification.
EURASIP J. Adv. Signal Process., 2011

Spoken emotion recognition using hierarchical classifiers.
Comput. Speech Lang., 2011

Evolutionary cepstral coefficients.
Appl. Soft Comput., 2011

An ICA-based method for the segmentation of pigmented skin lesions in macroscopic images.
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.
Pattern Recognit., 2010

Denoising and recognition using hidden Markov models with observation distributions modeled by hidden Markov trees.
Pattern Recognit., 2010

*omeSOM: a software for clustering and visualization of transcriptional and metabolite data mined from interspecific crosses of crop plants.
BMC Bioinform., 2010

Compressing a neural network classifier using a Volterra-Neural Network model.
Proceedings of the International Joint Conference on Neural Networks, 2010

2009
Indeterminacy Free Frequency-Domain Blind Separation of Reverberant Audio Sources.
IEEE Trans. Speech Audio Process., 2009

Minimum Classification Error Training of Hidden Markov Models for Sequential Data in the Wavelet Domain.
Inteligencia Artif., 2009

Métodos de agrupamiento no supervisado para la integración de datos genómicos y metabólicos de múltiples líneas de introgresión.
Inteligencia Artif., 2009

Array of Multilayer Perceptrons with No-class Resampling Training for Face Recognition.
Inteligencia Artif., 2009

Neural network model for integration and visualization of introgressed genome and metabolite data.
Proceedings of the International Joint Conference on Neural Networks, 2009

Artificial Life Contest - A Tool for Informal Teaching of Artificial Intelligence.
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.
Proceedings of the Development of Multimodal Interfaces: Active Listening and Synchrony, 2009

Genetic Optimization of Cepstrum Filterbank for Phoneme Classification.
Proceedings of the BIOSIGNALS 2009, 2009

2008
Perceptual evaluation of blind source separation for robust speech recognition.
Signal Process., 2008

Learning Hidden Markov Models with Hidden Markov Trees as Observation Distributions.
Inteligencia Artif., 2008

2007
Objective quality evaluation in blind source separation for speech recognition in a real room.
Signal Process., 2007

Adaptive learning of polynomial networks, genetic programming, backpropagation and Bayesian methods, series on genetic and evolutionary computation.
Genet. Program. Evolvable Mach., 2007

Auditory Cortical Representations of Speech Signals for Phoneme Classification.
Proceedings of the MICAI 2007: Advances in Artificial Intelligence, 2007

An EM Algorithm to Learn Sequences in the Wavelet Domain.
Proceedings of the MICAI 2007: Advances in Artificial Intelligence, 2007

2003
Prosodic and accentual information for automatic speech recognition.
IEEE Trans. Speech Audio Process., 2003

2002
Evolutionary algorithm for speech segmentation.
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.
Proceedings of the EUROSPEECH 2001 Scandinavia, 2001


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