Diego H. Milone
Orcid: 0000-0003-2182-4351
According to our database1,
Diego H. Milone
authored at least 97 papers
between 2001 and 2024.
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Bibliography
2024
Demographically-Informed Prediction Discrepancy Index: Early Warnings of Demographic Biases for Unlabeled Populations.
Trans. Mach. Learn. Res., 2024
Uncertainty in latent representations of variational autoencoders optimized for visual tasks.
CoRR, 2024
sincFold: end-to-end learning of short- and long-range interactions in RNA secondary structure.
Briefings Bioinform., 2024
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
Patterns, February, 2023
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
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
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
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
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
2020
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
Neural Networks, 2020
An online method for estimating grazing and rumination bouts using acoustic signals in grazing cattle.
Comput. Electron. Agric., 2020
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
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
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
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
Soft Comput., 2017
Proceedings of the 2017 XLIII Latin American Computer Conference, 2017
2016
Signal Process., 2016
Inf. Sci., 2016
IET Signal Process., 2016
Expert Syst. Appl., 2016
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
A very simple and fast way to access and validate algorithms in reproducible research.
Briefings Bioinform., 2016
2015
IEEE ACM Trans. Comput. Biol. Bioinform., 2015
Signal Process., 2015
Digit. Signal Process., 2015
Biosyst., 2015
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
Clustering biological data with SOMs: On topology preservation in non-linear dimensional reduction.
Expert Syst. Appl., 2013
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
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
EURASIP J. Adv. Signal Process., 2011
Comput. Speech Lang., 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
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
Proceedings of the International Joint Conference on Neural Networks, 2010
2009
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
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
Signal Process., 2008
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
Proceedings of the MICAI 2007: Advances in Artificial Intelligence, 2007
Proceedings of the MICAI 2007: Advances in Artificial Intelligence, 2007
2003
IEEE Trans. Speech Audio Process., 2003
2002
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