Diego H. Milone

According to our database1, Diego H. Milone authored at least 66 papers between 2001 and 2019.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

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

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

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

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

A regularity-based algorithm for identifying grazing and rumination bouts from acoustic signals in grazing cattle.
Computers and Electronics in Agriculture, 2018

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

Extreme learning machines for reverse engineering of gene regulatory networks from expression time series.
Bioinformatics, 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. Biology Bioinform., 2017

Emotion Recognition in Never-Seen Languages Using a Novel Ensemble Method with Emotion Profiles.
IEEE Trans. Affective Computing, 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 Processing, 2016

Feature optimisation for stress recognition in speech.
Pattern Recognition Letters, 2016

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

Multi-objective optimisation of wavelet features for phoneme recognition.
IET Signal Processing, 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.
Computers and Electronics in Agriculture, 2016

Evolutionary algorithm for metabolic pathways synthesis.
Biosystems, 2016

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

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

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

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

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

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

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

A Method to Improve the Analysis of Cluster Ensembles.
Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial, 2014

Stability analysis in overlapped clusters.
Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial, 2014

2013
Compressing arrays of classifiers using Volterra-neural network: application to face recognition.
Neural Computing and Applications, 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.
Comp. in Bio. and Med., 2013

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

Bioinspired sparse spectro-temporal representation of speech for robust classification.
Computer Speech & Language, 2012

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

An evolutionary approach to metabolic pathways search.
Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial, 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.
Signal Processing Systems, 2011

Evolutionary Splines for Cepstral Filterbank Optimization in Phoneme Classification.
EURASIP J. Adv. Sig. Proc., 2011

Spoken emotion recognition using hierarchical classifiers.
Computer Speech & Language, 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 Recognition, 2010

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

*omeSOM: a software for clustering and visualization of transcriptional and metabolite data mined from interspecific crosses of crop plants.
BMC Bioinformatics, 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. Audio, Speech & Language Processing, 2009

Minimum Classification Error Training of Hidden Markov Models for Sequential Data in the Wavelet Domain.
Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial, 2009

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

Array of Multilayer Perceptrons with No-class Resampling Training for Face Recognition.
Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial, 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 Processing, 2008

Learning Hidden Markov Models with Hidden Markov Trees as Observation Distributions.
Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial, 2008

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

Adaptive learning of polynomial networks, genetic programming, backpropagation and Bayesian methods, series on genetic and evolutionary computation.
Genetic Programming and Evolvable Machines, 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 and Audio Processing, 2003

2001
A new technique based on augmented language models to improve the performance of spoken dialogue systems.
Proceedings of the EUROSPEECH 2001 Scandinavia, 2001


  Loading...