Diego H. Milone

114 papers A* 1A 1B 4C 1Journal 96Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ET-Pfam: ensemble transfer learning for protein family prediction. Bioinform. Sofia A. Duarte, Rosario Vitale, Sofia Escudero, Emilio Fenoy, Leandro A. Bugnon, Diego H. Milone, Georgina Stegmayer
2025	J	`jnl`	BM-CL: Bias Mitigation through the lens of Continual Learning. CoRR Lucas Mansilla, Rodrigo Echeveste, Camila González, Diego H. Milone, Enzo Ferrante
2025	J	`jnl`	Comprehensive benchmarking of large language models for RNA secondary structure prediction. Briefings Bioinform. Luciano I Zablocki, Leandro A. Bugnon, Matias Gerard, Leandro E. Di Persia, Georgina Stegmayer, Diego H. Milone
2025	—	`conf`	Fairness of Deep Ensembles: On the interplay between per-group task difficulty and under-representation. FAccT Estanislao Claucich, Sara Hooker, Diego H. Milone, Enzo Ferrante, Rodrigo Echeveste
2025	J	`jnl`	Fairness of Deep Ensembles: On the interplay between per-group task difficulty and under-representation. CoRR Estanislao Claucich, Sara Hooker, Diego H. Milone, Enzo Ferrante, Rodrigo Echeveste
2025	J	`jnl`	Multi-view hybrid graph convolutional network for volume-to-mesh reconstruction in cardiovascular MRI. Medical Image Anal. Nicolás Gaggion, Benjamin A. Matheson, Yan Xia, Rodrigo Bonazzola, Nishant Ravikumar, Zeike A. Taylor, Diego H. Milone, Alejandro F. Frangi, Enzo Ferrante
2025	J	`jnl`	Towards Reliable WMH Segmentation under Domain Shift: An Application Study using Maximum Entropy Regularization to Improve Uncertainty Estimation. CoRR Franco Matzkin, Agostina J. Larrazabal, Diego H. Milone, Jose Dolz, Enzo Ferrante
2025	J	`jnl`	Towards reliable WMH segmentation under domain shift: An application study using maximum entropy regularization to improve uncertainty estimation. Comput. Biol. Medicine Franco Matzkin, Agostina J. Larrazabal, Diego H. Milone, Jose Dolz, Enzo Ferrante
2024	J	`jnl`	Comprehensive benchmarking of large language models for RNA secondary structure prediction. CoRR Luciano I Zablocki, Leandro A. Bugnon, Matias Gerard, Leandro E. Di Persia, Georgina Stegmayer, Diego H. Milone
2024	J	`jnl`	Demographically-Informed Prediction Discrepancy Index: Early Warnings of Demographic Biases for Unlabeled Populations. Trans. Mach. Learn. Res. Lucas Mansilla, Estanislao Claucich, Rodrigo Echeveste, Diego H. Milone, Enzo Ferrante
2024	J	`jnl`	Evaluating large language models for annotating proteins. Briefings Bioinform. Rosario Vitale, Leandro A. Bugnon, Emilio Fenoy, Diego H. Milone, Georgina Stegmayer
2024	J	`jnl`	Uncertainty in latent representations of variational autoencoders optimized for visual tasks. CoRR Josefina Catoni, Enzo Ferrante, Diego H. Milone, Rodrigo Echeveste
2024	J	`jnl`	gGN: Representing the Gene Ontology as low-rank Gaussian distributions. Comput. Biol. Medicine Alejandro A. Edera, Georgina Stegmayer, Diego H. Milone
2024	J	`jnl`	sincFold: end-to-end learning of short- and long-range interactions in RNA secondary structure. Briefings Bioinform. Leandro A. Bugnon, Leandro E. Di Persia, Matias Gerard, Jonathan Raad, Santiago Prochetto, Emilio Fenoy, Uciel Chorostecki, Federico Ariel, Georgina Stegmayer, Diego H. Milone
2023	J	`jnl`	CheXmask: a large-scale dataset of anatomical segmentation masks for multi-center chest x-ray images. CoRR Nicolás Gaggion, Candelaria Mosquera, Lucas Mansilla, Martina Aineseder, Diego H. Milone, Enzo Ferrante
2023	J	`jnl`	Improving Anatomical Plausibility in Medical Image Segmentation via Hybrid Graph Neural Networks: Applications to Chest X-Ray Analysis. IEEE Trans. Medical Imaging Nicolás Gaggion, Lucas Mansilla, Candelaria Mosquera, Diego H. Milone, Enzo Ferrante
2023	—	`conf`	Multi-Center Anatomical Segmentation with Heterogeneous Labels Via Landmark-Based Models. ISBI Nicolás Gaggion, Maria Vakalopoulou, Diego H. Milone, Enzo Ferrante
2023	J	`jnl`	Multi-view Hybrid Graph Convolutional Network for Volume-to-mesh Reconstruction in Cardiovascular MRI. CoRR Nicolás Gaggion, Benjamin A. Matheson, Yan Xia, Rodrigo Bonazzola, Nishant Ravikumar, Zeike A. Taylor, Diego H. Milone, Alejandro F. Frangi, Enzo Ferrante
2023	J	`jnl`	Transfer learning: The key to functionally annotate the protein universe. Patterns Leandro A. Bugnon, Emilio Fenoy, Alejandro A. Edera, Jonathan Raad, Georgina Stegmayer, Diego H. Milone
2023	—	`conf`	Unsupervised Bias Discovery in Medical Image Segmentation. CLIP/FAIMI/EPIMI@MICCAI Nicolás Gaggion, Rodrigo Echeveste, Lucas Mansilla, Diego H. Milone, Enzo Ferrante
2023	J	`jnl`	Unsupervised bias discovery in medical image segmentation. CoRR Nicolás Gaggion, Rodrigo Echeveste, Lucas Mansilla, Diego H. Milone, Enzo Ferrante
2023	J	`jnl`	exp2GO: Improving Prediction of Functions in the Gene Ontology With Expression Data. IEEE ACM Trans. Comput. Biol. Bioinform. Leandro E. Di Persia, Tiago Lopez, Agustin Arce, Diego H. Milone, Georgina Stegmayer
2022	J	`jnl`	Anc2vec: embedding gene ontology terms by preserving ancestors relationships. Briefings Bioinform. Alejandro A. Edera, Diego H. Milone, Georgina Stegmayer
2022	J	`jnl`	Hierarchical deep learning for predicting GO annotations by integrating protein knowledge. Bioinform. Gabriela Alejandra Merino, Rabie Saidi, Diego H. Milone, Georgina Stegmayer, Maria Jesus Martin
2022	J	`jnl`	Improving anatomical plausibility in medical image segmentation via hybrid graph neural networks: applications to chest x-ray analysis. CoRR Nicolás Gaggion, Lucas Mansilla, Candelaria Mosquera, Diego H. Milone, Enzo Ferrante
2022	J	`jnl`	Multi-center anatomical segmentation with heterogeneous labels via landmark-based models. CoRR Nicolás Gaggion, Maria Vakalopoulou, Diego H. Milone, Enzo Ferrante
2022	J	`jnl`	Secondary structure prediction of long noncoding RNA: review and experimental comparison of existing approaches. Briefings Bioinform. 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
2022	J	`jnl`	Transfer Learning Based on Optimal Transport for Motor Imagery Brain-Computer Interfaces. IEEE Trans. Biomed. Eng. Victoria Peterson, Nicolás Nieto, Dominik Wyser, Olivier Lambercy, Roger Gassert, Diego H. Milone, Ruben D. Spies
2022	J	`jnl`	Using segment-based features of jaw movements to recognize foraging activities in grazing cattle. CoRR 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
2022	J	`jnl`	miRe2e: a full end-to-end deep model based on transformers for prediction of pre-miRNAs. Bioinform. Jonathan Raad, Leandro A. Bugnon, Diego H. Milone, Georgina Stegmayer
2021	J	`jnl`	Deepred-Mt: Deep representation learning for predicting C-to-U RNA editing in plant mitochondria. Comput. Biol. Medicine Alejandro Edera, Ian Small, Diego H. Milone, M. Virginia Sanchez-Puerta
2021	A*	`conf`	Domain Generalization via Gradient Surgery. ICCV Lucas Mansilla, Rodrigo Echeveste, Diego H. Milone, Enzo Ferrante
2021	J	`jnl`	Domain Generalization via Gradient Surgery. CoRR Lucas Mansilla, Rodrigo Echeveste, Diego H. Milone, Enzo Ferrante
2021	J	`jnl`	Genome-wide discovery of pre-miRNAs: comparison of recent approaches based on machine learning. Briefings Bioinform. Leandro A. Bugnon, Cristian A. Yones, Diego H. Milone, Georgina Stegmayer
2021	J	`jnl`	High precision in microRNA prediction: A novel genome-wide approach with convolutional deep residual networks. Comput. Biol. Medicine Cristian A. Yones, Jonathan Raad, Leandro A. Bugnon, Diego H. Milone, Georgina Stegmayer
2021	—	`conf`	Hybrid Graph Convolutional Neural Networks for Landmark-Based Anatomical Segmentation. MICCAI (1) Nicolás Gaggion, Lucas Mansilla, Diego H. Milone, Enzo Ferrante
2021	J	`jnl`	Hybrid graph convolutional neural networks for landmark-based anatomical segmentation. CoRR Nicolás Gaggion, Lucas Mansilla, Diego H. Milone, Enzo Ferrante
2021	J	`jnl`	Novel SARS-CoV-2 encoded small RNAs in the passage to humans. Bioinform. Gabriela Alejandra Merino, Jonathan Raad, Leandro A. Bugnon, Cristian A. Yones, Laura Kamenetzky, Juan Claus, Federico Ariel, Diego H. Milone, Georgina Stegmayer
2021	J	`jnl`	Understanding the impact of class imbalance on the performance of chest x-ray image classifiers. CoRR Candelaria Mosquera, Luciana Ferrer, Diego H. Milone, Daniel R. Luna, Enzo Ferrante
2020	J	`jnl`	An online method for estimating grazing and rumination bouts using acoustic signals in grazing cattle. Comput. Electron. Agric. 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
2020	J	`jnl`	Complexity measures of the mature miRNA for improving pre-miRNAs prediction. Bioinform. Jonathan Raad, Georgina Stegmayer, Diego H. Milone
2020	J	`jnl`	DL4papers: a deep learning approach for the automatic interpretation of scientific articles. Bioinform. 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
2020	J	`jnl`	Deep Neural Architectures for Highly Imbalanced Data in Bioinformatics. IEEE Trans. Neural Networks Learn. Syst. Leandro A. Bugnon, Cristian A. Yones, Diego H. Milone, Georgina Stegmayer
2020	J	`jnl`	Dimensional Affect Recognition from HRV: An Approach Based on Supervised SOM and ELM. IEEE Trans. Affect. Comput. Leandro A. Bugnon, Rafael A. Calvo, Diego H. Milone
2020	J	`jnl`	Learning Deformable Registration of Medical Images with Anatomical Constraints. CoRR Lucas Mansilla, Diego H. Milone, Enzo Ferrante
2020	J	`jnl`	Learning deformable registration of medical images with anatomical constraints. Neural Networks Lucas Mansilla, Diego H. Milone, Enzo Ferrante
2019	J	`jnl`	Clustermatch: discovering hidden relations in highly diverse kinds of qualitative and quantitative data without standardization. Bioinform. Milton Pividori, Andres Cernadas, Luis A. de Haro, Fernando Carrari, Georgina Stegmayer, Diego H. Milone
2019	J	`jnl`	Predicting novel microRNA: a comprehensive comparison of machine learning approaches. Briefings Bioinform. 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
2018	J	`jnl`	A regularity-based algorithm for identifying grazing and rumination bouts from acoustic signals in grazing cattle. Comput. Electron. Agric. Sebastián R. Vanrell, José O. Chelotti, Julio R. Galli, Santiago A. Utsumi, Leonardo L. Giovanini, Hugo Leonardo Rufiner, Diego H. Milone
2018	J	`jnl`	Assessment of Homomorphic Analysis for Human Activity Recognition From Acceleration Signals. IEEE J. Biomed. Health Informatics Sebastián R. Vanrell, Diego H. Milone, Hugo Leonardo Rufiner
2018	J	`jnl`	Blankets Joint Posterior score for learning Markov network structures. Int. J. Approx. Reason. Federico Schlüter, Yanela Strappa, Diego H. Milone, Facundo Bromberg
2018	J	`jnl`	Extreme learning machines for reverse engineering of gene regulatory networks from expression time series. Bioinform. Mariano Rubiolo, Diego H. Milone, Georgina Stegmayer
2018	J	`jnl`	Genome-wide pre-miRNA discovery from few labeled examples. Bioinform. Cristian A. Yones, Georgina Stegmayer, Diego H. Milone
2018	J	`jnl`	Inferring Unknown Biological Function by Integration of GO Annotations and Gene Expression Data. IEEE ACM Trans. Comput. Biol. Bioinform. Guillermo Leale, Ariel E. Bayá, Diego H. Milone, Pablo M. Granitto, Georgina Stegmayer
2018	—	`conf`	On the Adaptability of Unsupervised CNN-Based Deformable Image Registration to Unseen Image Domains. MLMI@MICCAI Enzo Ferrante, Ozan Oktay, Ben Glocker, Diego H. Milone
2017	J	`jnl`	Emotion Recognition in Never-Seen Languages Using a Novel Ensemble Method with Emotion Profiles. IEEE Trans. Affect. Comput. Enrique Marcelo Albornoz, Diego H. Milone
2017	C	`conf`	Extreme learning machine prediction under high class imbalance in bioinformatics. CLEI Tadeo Rodriguez, Leandro E. Di Persia, Diego H. Milone, Georgina Stegmayer
2017	J	`jnl`	Feature extraction based on bio-inspired model for robust emotion recognition. Soft Comput. Enrique M. Albornoz, Diego H. Milone, Hugo Leonardo Rufiner
2017	J	`jnl`	High Class-Imbalance in pre-miRNA Prediction: A Novel Approach Based on deepSOM. IEEE ACM Trans. Comput. Biol. Bioinform. Georgina Stegmayer, Cristian A. Yones, Laura Kamenetzky, Diego H. Milone
2016	J	`jnl`	A new index for clustering validation with overlapped clusters. Expert Syst. Appl. David Nazareno Campo, Georgina Stegmayer, Diego H. Milone
2016	J	`jnl`	A real-time algorithm for acoustic monitoring of ingestive behavior of grazing cattle. Comput. Electron. Agric. José O. Chelotti, Sebastián R. Vanrell, Diego H. Milone, Santiago A. Utsumi, Julio R. Galli, Hugo Leonardo Rufiner, Leonardo L. Giovanini
2016	J	`jnl`	A very simple and fast way to access and validate algorithms in reproducible research. Briefings Bioinform. Georgina Stegmayer, Milton Pividori, Diego H. Milone
2016	J	`jnl`	Blankets Joint Posterior score for learning irregular Markov network structures. CoRR Federico Schlüter, Yanela Strappa, Facundo Bromberg, Diego H. Milone
2016	J	`jnl`	Diversity control for improving the analysis of consensus clustering. Inf. Sci. Milton Pividori, Georgina Stegmayer, Diego H. Milone
2016	J	`jnl`	Evolutionary algorithm for metabolic pathways synthesis. Biosyst. Matias Fernando Gerard, Georgina Stegmayer, Diego H. Milone
2016	J	`jnl`	Feature optimisation for stress recognition in speech. Pattern Recognit. Lett. Leandro Daniel Vignolo, S. R. Mahadeva Prasanna, Samarendra Dandapat, Hugo Leonardo Rufiner, Diego H. Milone
2016	J	`jnl`	Inferring unknown biological function by integration of GO annotations and gene expression data. CoRR Guillermo L. Grinblat, Ariel E. Bayá, Diego H. Milone, Pablo M. Granitto, Georgina Stegmayer
2016	J	`jnl`	Multi-objective optimisation of wavelet features for phoneme recognition. IET Signal Process. Leandro Daniel Vignolo, Hugo Leonardo Rufiner, Diego H. Milone
2016	J	`jnl`	Using multiple frequency bins for stabilization of FD-ICA algorithms. Signal Process. Leandro E. Di Persia, Diego H. Milone
2015	J	`jnl`	Denoising sound signals in a bioinspired non-negative spectro-temporal domain. Digit. Signal Process. César Ernesto Martínez, John C. Goddard, Leandro E. Di Persia, Diego H. Milone, Hugo Leonardo Rufiner
2015	J	`jnl`	EvoMS: An evolutionary tool to find de novo metabolic pathways. Biosyst. Matias Fernando Gerard, Georgina Stegmayer, Diego H. Milone
2015	J	`jnl`	Mining Gene Regulatory Networks by Neural Modeling of Expression Time-Series. IEEE ACM Trans. Comput. Biol. Bioinform. Mariano Rubiolo, Diego H. Milone, Georgina Stegmayer
2015	J	`jnl`	Wavelet shrinkage using adaptive structured sparsity constraints. Signal Process. Diego Tomassi, Diego H. Milone, James D. B. Nelson
2015	J	`jnl`	miRNAfe: A comprehensive tool for feature extraction in microRNA prediction. Biosyst. Cristian A. Yones, Georgina Stegmayer, Laura Kamenetzky, Diego H. Milone
2014	J	`jnl`	A Method to Improve the Analysis of Cluster Ensembles. Inteligencia Artif. Milton Pividori, Georgina Stegmayer, Diego H. Milone
2014	J	`jnl`	Improving clustering with metabolic pathway data. BMC Bioinform. Diego H. Milone, Georgina Stegmayer, Mariana G. Lopez, Laura Kamenetzky, Fernando Carrari
2014	J	`jnl`	Stability analysis in overlapped clusters. Inteligencia Artif. David Nazareno Campo, Georgina Stegmayer, Diego H. Milone
2013	J	`jnl`	An evolutionary approach for searching metabolic pathways. Comput. Biol. Medicine Matias Fernando Gerard, Georgina Stegmayer, Diego H. Milone
2013	J	`jnl`	Automatic recognition of quarantine citrus diseases. Expert Syst. Appl. Georgina Stegmayer, Diego H. Milone, Sergio Garran, Lourdes Burdyn
2013	J	`jnl`	Clustering biological data with SOMs: On topology preservation in non-linear dimensional reduction. Expert Syst. Appl. Diego H. Milone, Georgina Stegmayer, Laura Kamenetzky, Mariana G. Lopez, Fernando Carrari
2013	J	`jnl`	Compressing arrays of classifiers using Volterra-neural network: application to face recognition. Neural Comput. Appl. Mariano Rubiolo, Georgina Stegmayer, Diego H. Milone
2013	J	`jnl`	Feature selection for face recognition based on multi-objective evolutionary wrappers. Expert Syst. Appl. Leandro Daniel Vignolo, Diego H. Milone, Jacob Scharcanski
2013	J	`jnl`	Genetic wavelet packets for speech recognition. Expert Syst. Appl. Leandro Daniel Vignolo, Diego H. Milone, Hugo Leonardo Rufiner
2012	J	`jnl`	A Biologically Inspired Validity Measure for Comparison of Clustering Methods over Metabolic Data Sets. IEEE ACM Trans. Comput. Biol. Bioinform. Georgina Stegmayer, Diego H. Milone, Laura Kamenetzky, Mariana G. Lopez, Fernando Carrari
2012	J	`jnl`	An evolutionary approach to metabolic pathways search. Inteligencia Artif. Matias Fernando Gerard, Diego H. Milone, Georgina Stegmayer
2012	B	`conf`	An evolutionary wrapper for feature selection in face recognition applications. SMC Leandro Daniel Vignolo, Diego H. Milone, Carlos A. R. Behaine, Jacob Scharcanski
2012	J	`jnl`	Bioinspired sparse spectro-temporal representation of speech for robust classification. Comput. Speech Lang. César Ernesto Martínez, John C. Goddard, Diego H. Milone, Hugo Leonardo Rufiner
2012	J	`jnl`	Data Mining Over Biological Datasets: An Integrated Approach Based on Computational Intelligence. IEEE Comput. Intell. Mag. Georgina Stegmayer, Matias Gerard, Diego H. Milone
2011	—	`conf`	An ICA-based method for the segmentation of pigmented skin lesions in macroscopic images. EMBC Pablo Gautério Cavalcanti, Jacob Scharcanski, Leandro E. Di Persia, Diego H. Milone
2011	J	`jnl`	Correlated Postfiltering and Mutual Information in Pseudoanechoic Model Based Blind Source Separation. J. Signal Process. Syst. Leandro E. Di Persia, Diego H. Milone, Masuzo Yanagida
2011	J	`jnl`	Evolutionary Splines for Cepstral Filterbank Optimization in Phoneme Classification. EURASIP J. Adv. Signal Process. Leandro Daniel Vignolo, Hugo Leonardo Rufiner, Diego H. Milone, John C. Goddard
2011	J	`jnl`	Evolutionary cepstral coefficients. Appl. Soft Comput. Leandro Daniel Vignolo, Hugo Leonardo Rufiner, Diego H. Milone, John C. Goddard
2011	J	`jnl`	Spoken emotion recognition using hierarchical classifiers. Comput. Speech Lang. Enrique M. Albornoz, Diego H. Milone, Hugo Leonardo Rufiner
2010	J	`jnl`	*omeSOM: a software for clustering and visualization of transcriptional and metabolite data mined from interspecific crosses of crop plants. BMC Bioinform. Diego H. Milone, Georgina Stegmayer, Laura Kamenetzky, Mariana G. Lopez, Je Min Lee, James J. Giovannoni, Fernando Carrari
2010	B	`conf`	Compressing a neural network classifier using a Volterra-Neural Network model. IJCNN Mariano Rubiolo, Georgina Stegmayer, Diego H. Milone
2010	J	`jnl`	Denoising and recognition using hidden Markov models with observation distributions modeled by hidden Markov trees. Pattern Recognit. Diego H. Milone, Leandro E. Di Persia, María Eugenia Torres
2010	J	`jnl`	Minimum classification error learning for sequential data in the wavelet domain. Pattern Recognit. Diego Tomassi, Diego H. Milone, Liliana Forzani
2009	J	`jnl`	Array of Multilayer Perceptrons with No-class Resampling Training for Face Recognition. Inteligencia Artif. D. Capello, César Ernesto Martínez, Diego H. Milone, Georgina Stegmayer
2009	—	`conf`	Artificial Life Contest - A Tool for Informal Teaching of Artificial Intelligence. CSEDU (1) Diego H. Milone, Georgina Stegmayer, Daniel Beber
2009	—	`conf`	Genetic Optimization of Cepstrum Filterbank for Phoneme Classification. BIOSIGNALS Leandro Daniel Vignolo, Hugo Leonardo Rufiner, Diego H. Milone, John C. Goddard
2009	J	`jnl`	Indeterminacy Free Frequency-Domain Blind Separation of Reverberant Audio Sources. IEEE Trans. Speech Audio Process. Leandro E. Di Persia, Diego H. Milone, Masuzo Yanagida
2009	J	`jnl`	Minimum Classification Error Training of Hidden Markov Models for Sequential Data in the Wavelet Domain. Inteligencia Artif. Diego Tomassi, Diego H. Milone, Liliana Forzani
2009	—	`conf`	Multiple Feature Extraction and Hierarchical Classifiers for Emotions Recognition. COST 2102 Training School Enrique M. Albornoz, Diego H. Milone, Hugo Leonardo Rufiner
2009	J	`jnl`	Métodos de agrupamiento no supervisado para la integración de datos genómicos y metabólicos de múltiples líneas de introgresión. Inteligencia Artif. Diego H. Milone, Georgina Stegmayer, Matias Gerard, Laura Kamenetzky, Mariana G. Lopez, Fernando Carrari
2009	B	`conf`	Neural network model for integration and visualization of introgressed genome and metabolite data. IJCNN Georgina Stegmayer, Diego H. Milone, Laura Kamenetzky, Mariana G. Lopez, Fernando Carrari
2008	J	`jnl`	Learning Hidden Markov Models with Hidden Markov Trees as Observation Distributions. Inteligencia Artif. Diego H. Milone, Leandro E. Di Persia
2008	J	`jnl`	Perceptual evaluation of blind source separation for robust speech recognition. Signal Process. Leandro E. Di Persia, Diego H. Milone, Hugo Leonardo Rufiner, Masuzo Yanagida
2007	J	`jnl`	Adaptive learning of polynomial networks, genetic programming, backpropagation and Bayesian methods, series on genetic and evolutionary computation. Genet. Program. Evolvable Mach. Diego H. Milone
2007	—	`conf`	An EM Algorithm to Learn Sequences in the Wavelet Domain. MICAI Diego H. Milone, Leandro E. Di Persia
2007	—	`conf`	Auditory Cortical Representations of Speech Signals for Phoneme Classification. MICAI Hugo Leonardo Rufiner, César Ernesto Martínez, Diego H. Milone, John C. Goddard
2007	J	`jnl`	Objective quality evaluation in blind source separation for speech recognition in a real room. Signal Process. Leandro E. Di Persia, Masuzo Yanagida, Hugo Leonardo Rufiner, Diego H. Milone
2003	J	`jnl`	Prosodic and accentual information for automatic speech recognition. IEEE Trans. Speech Audio Process. Diego H. Milone, Antonio J. Rubio
2002	B	`conf`	Evolutionary algorithm for speech segmentation. IEEE Congress on Evolutionary Computation Diego H. Milone, Juan Julián Merelo, Hugo Leonardo Rufiner
2001	A	`conf`	A new technique based on augmented language models to improve the performance of spoken dialogue systems. INTERSPEECH Ramón López-Cózar, Diego H. Milone