César Ernesto Martínez

According to our database, César Ernesto Martínez authored at least 20 papers between 2002 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

Maximum Entropy on Erroneous Predictions (MEEP): Improving model calibration for medical image segmentation.

Agostina J. Larrazabal, César Ernesto Martínez, José Dolz, Enzo Ferrante

CoRR, 2021

Orthogonal Ensemble Networks for Biomedical Image Segmentation.

Agostina J. Larrazabal, César Ernesto Martínez, Jose Dolz, Enzo Ferrante

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Automatic Extraction of Heat Maps and Goal Instances of a Basketball Game Using Video Processing.

Gerónimo Eberle, Jimena Bourlot, César Ernesto Martínez, Enrique M. Albornoz

Proceedings of the Computer Science - CACIC 2021 - 27th Argentine Congress, 2021

2020

Post-DAE: Anatomically Plausible Segmentation via Post-Processing With Denoising Autoencoders.

Agostina J. Larrazabal, César Ernesto Martínez, Ben Glocker, Enzo Ferrante

IEEE Trans. Medical Imaging, 2020

2019

Video-oculography eye tracking towards clinical applications: A review.

Agostina J. Larrazabal, Cecilia E. Garcia Cena, César Ernesto Martínez

Comput. Biol. Medicine, 2019

Exploring feature extraction methods for infant mood classification.

Leandro Daniel Vignolo, Enrique M. Albornoz, César Ernesto Martínez

AI Commun., 2019

Anatomical Priors for Image Segmentation via Post-processing with Denoising Autoencoders.

Agostina J. Larrazabal, César Ernesto Martínez, Enzo Ferrante

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Eye corners tracking for head movement estimation.

Agostina J. Larrazabal, Cecilia E. Garcia Cena, César Ernesto Martínez

Proceedings of the IEEE International Work Conference on Bioinspired Intelligence, 2019

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

Erick Alfaro, Ximena Bolaños Fonseca, Enrique M. Albornoz, César Ernesto Martínez, Saúl Calderón Ramírez

Proceedings of the IEEE International Work Conference on Bioinspired Intelligence, 2019

2018

Feature Set Optimisation for Infant Cry Classification.

Leandro Daniel Vignolo, Enrique Marcelo Albornoz, César Ernesto Martínez

Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2018, 2018

Furnariidae Species Classification Using Extreme Learning Machines and Spectral Information.

Enrique M. Albornoz, Leandro Daniel Vignolo, Juan Andrés Sarquis, César Ernesto Martínez

Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2018, 2018

2015

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

César Ernesto Martínez, John C. Goddard, Leandro E. Di Persia, Diego H. Milone, Hugo Leonardo Rufiner

Digit. Signal Process., 2015

2014

Segmentation of pigmented skin lesions using Non-negative Matrix Factorization.

Pablo Gautério Cavalcanti, Jacob Scharcanski, César Ernesto Martínez, Leandro E. Di Persia

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2014

2012

Bioinspired sparse spectro-temporal representation of speech for robust classification.

César Ernesto Martínez, John C. Goddard, Diego H. Milone, Hugo Leonardo Rufiner

Comput. Speech Lang., 2012

2009

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

D. Capello, César Ernesto Martínez, Diego H. Milone, Georgina Stegmayer

Inteligencia Artif., 2009

2007

Iterative Contextual Recurrent Classification of Chromosomes.

César Ernesto Martínez, Alfons Juan, Francisco Casacuberta

Neural Process. Lett., 2007

Auditory Cortical Representations of Speech Signals for Phoneme Classification.

Hugo Leonardo Rufiner, César Ernesto Martínez, Diego H. Milone, John C. Goddard

Proceedings of the MICAI 2007: Advances in Artificial Intelligence, 2007

2005

On the use of speech recognition in computer assisted translation.

Luis Rodríguez, Jorge Civera, Enrique Vidal, Francisco Casacuberta, César Ernesto Martínez

Proceedings of the INTERSPEECH 2005, 2005

2003

Chromosome Classification Using Continuous Hidden Markov Models.

César Ernesto Martínez, Héctor García, Alfons Juan, Francisco Casacuberta

Proceedings of the Pattern Recognition and Image Analysis, First Iberian Conference, 2003

2002

Using Recurrent Neural Networks for Automatic Chromosome Classification.

César Ernesto Martínez, Alfons Juan, Francisco Casacuberta

Proceedings of the Artificial Neural Networks, 2002