Gustavo J. Meschino

发表

Solving the over segmentation problem in applications of Watershed Transform

Mariela A. González, Gustavo J. Meschino, Virginia L. Ballarin, 2013 .

Mammographic Density Estimation Through Permutation Entropy

Gustavo J. Meschino, Adriana P. Antonelli, Virginia L. Ballarin, 2018, IFMBE Proceedings.

Fuzzy Tree Studio: A Tool for the Design of the Scorecard for the Management of Protected Areas

Gustavo J. Meschino, Marcela Nabte, Sebastián Gesualdo, 2014, Soft Computing for Business Intelligence.

Tissue discrimination in magnetic resonance imaging of the rotator cuff

Gustavo J. Meschino, Virginia L. Ballarin, Diego S. Comas, 2016 .

Técnicas espaciales, frecuenciales y morfológicas para restauración de huellas dactilares deterioradas

Gustavo J. Meschino, Virginia L. Ballarin, Juan Ignacio Pastore, 2003 .

Automatic design of interpretable fuzzy predicate systems for clustering using self-organizing maps

Gustavo J. Meschino, Virginia L. Ballarin, Lucía Isabel Passoni, 2015, Neurocomputing.

Linguistic Interpretation of Mathematical Morphology

Gustavo J. Meschino, Virginia L. Ballarin, Marcel Brun, 2013 .

Enhancement Techniques in fingerprints as a tool in Dactyloscopy

Gustavo J. Meschino, Emilce Graciela Moler, Eduardo Blotta, 2003 .

Improvements in the Visualization of Segmented Areas of Patterns of Dynamic Laser Speckle

Gustavo J. Meschino, Héctor Rabal, Marcelo Trivi, 2012, WSOM.

Type-2 Fuzzy Logic in Decision Support Systems

Gustavo J. Meschino, Virginia L. Ballarin, Juan Ignacio Pastore, 2014, Soft Computing for Business Intelligence.

Using SOM as a Tool for Automated Design of Clustering Systems Based on Fuzzy Predicates

Gustavo J. Meschino, Virginia L. Ballarin, Lucía Isabel Passoni, 2012, WSOM.

Dynamic speckle image segmentation using self-organizing maps

Christian Weber, Gustavo J. Meschino, Héctor Rabal, 2016 .

Discovering knowledge from data clustering using automatically-defined interval type-2 fuzzy predicates

Gustavo J. Meschino, Virginia L. Ballarin, Ann Nowé, 2017, Expert Syst. Appl..

Automatic Design of Binary W-Operators Using Artificial Feed-Forward Neural Networks Based on the Weighted Mean Square Error Cost Function

Gustavo J. Meschino, Virginia L. Ballarin, Marcel Brun, 2012, CIARP.

Optimización de Redes Eléctricas Mediante la Aplicación de Algoritmos Genéticos

Gustavo J. Meschino, Juan Antonio Suárez, Guillermo F di Mauro, 2009 .

Automatic fuzzy inference system development for marker-based watershed segmentation

Gustavo J. Meschino, Virginia L. Ballarin, M A Gonzalez, 2007 .

Dynamic laser speckle: decision models with computational intelligence techniques

Gustavo J. Meschino, Héctor Rabal, Marcelo Trivi, 2010, Speckle: International Conference on Speckle Metrology.

Interpretable interval type-2 fuzzy predicates for data clustering: A new automatic generation method based on self-organizing maps

Gustavo J. Meschino, Virginia L. Ballarin, Juan Ignacio Pastore, 2017, Knowl. Based Syst..

Improved Particle Swarm Optimization algorithm applied to rigid registration in medical images

Gustavo J. Meschino, Virginia L. Ballarin, Ramiro Isa Jara, 2017 .

Unsupervised learning segmentation for dynamic speckle activity images pdf

Gustavo J. Meschino, Héctor Rabal, Marcelo Trivi, 2014, ArXiv.

Permutation entropy: Texture characterization in images

Gustavo J. Meschino, Virginia L. Ballarin, Adriana P. Antonelli, 2017, 2017 XVII Workshop on Information Processing and Control (RPIC).

Magnetic resonance volumetric techniques: a new segmentation method based on interval type-2 fuzzy logic and clinical applications

Gustavo J. Meschino, Virginia L. Ballarin, Juan Ignacio Pastore, 2016 .

A Comparative Study of Reinforcement Learning Algorithms Applied to Medical Image Registration

Gustavo J. Meschino, Virginia L. Ballarin, Ramiro F. Isa-Jara, 2019 .

Optimization of arterial age prediction models based in pulse wave

Gustavo J. Meschino, Lucía Isabel Passoni, Adriana G. Scandurra, 2007 .