Cesar E. Martínez

Denoising sound signals in a bioinspired non-negative spectro-temporal domain

Diego H. Milone, César Ernesto Martínez, Hugo Leonardo Rufiner, 2015, Digit. Signal Process..

Genetic wrapper approach for automatic diagnosis of speech disorders related to Autism

Diego H. Milone, D. H. Milone, E. M. Albornoz, 2013, 2013 IEEE 14th International Symposium on Computational Intelligence and Informatics (CINTI).

Discriminative power of acoustic features for jaw movement classification in cattle and sheep

Diego H. Milone, José O. Chelotti, H. Rufiner, 2020, Bioacoustics.

Anatomical Priors for Image Segmentation via Post-Processing with Denoising Autoencoders

Enzo Ferrante, Agostina J. Larrazabal, César E. Martínez, 2019, MICCAI.

A Brief Analysis of U-Net and Mask R-CNN for Skin Lesion Segmentation

E. M. Albornoz, Enrique M. Albornoz, César E. Martínez, 2019, 2019 IEEE International Work Conference on Bioinspired Intelligence (IWOBI).

Array of Multilayer Perceptrons with No-class Resampling Training for Face Recognition

Georgina Stegmayer, Diego H. Milone, César Ernesto Martínez, 2009, Inteligencia Artif..

Video-oculography eye tracking towards clinical applications: A review

Cecilia E. Garcia Cena, César Ernesto Martínez, Agostina J. Larrazabal, 2019, Comput. Biol. Medicine.

Development and evaluation of an automatic software for management zone delineation

E. M. Albornoz, Enrique M. Albornoz, Alejandra C. Kemerer, 2017, Precision Agriculture.

Augmented and virtual reality mirror therapy system for hand rehabilitation in stroke patients

E. M. Albornoz, Cesar E. Martínez, Agustin A. Spahn, 2022, 2022 IEEE 22nd International Symposium on Computational Intelligence and Informatics and 8th IEEE International Conference on Recent Achievements in Mechatronics, Automation, Computer Science and Robotics (CINTI-MACRo).

Bioinspired sparse spectro-temporal representation of speech for robust classification

Diego H. Milone, César Ernesto Martínez, Hugo Leonardo Rufiner, 2012, Comput. Speech Lang..

Auditory Cortical Representations of Speech Signals for Phoneme Classification

Diego H. Milone, César Ernesto Martínez, Hugo Leonardo Rufiner, 2007, MICAI.

Exploring feature extraction methods for infant mood classification

Leandro Daniel Vignolo, Enrique Marcelo Albornoz, César Ernesto Martínez, 2019, AI Commun..

An approach to robust phoneme classification by modeling the auditory cortical representation of speech

Diego H. Milone, J. Goddard, Cesar E. Martínez, 2009 .

Multimodal Emotion Recognition Using Deep Networks

Hugo Leonardo Rufiner, C. Fadil, R. Alvarez, 2015 .