José Martínez Sotoca

Orcid: 0000-0002-3957-2589

According to our database1, José Martínez Sotoca authored at least 58 papers between 2001 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2022
Improved perception of ceramic molds through augmented reality.
Multim. Tools Appl., 2022

Procedural modeling of plant ecosystems maximizing vegetation cover.
Multim. Tools Appl., 2022

Virtual Reality versus Desktop Experience in a Dangerous Goods Simulator.
Int. J. Serious Games, 2022

2021
A Multi-agent Specification for the Tetris Game.
Proceedings of the Distributed Computing and Artificial Intelligence, 2021

2020
Multitemporal Mosaicing for Sentinel-3/FLEX Derived Level-2 Product Composites.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

A game engine to make games as multi-agent systems.
Adv. Eng. Softw., 2020

A Game Logic Specification Proposal for 2D Video Games.
Proceedings of the Trends and Innovations in Information Systems and Technologies, 2020

A First Step to Specify Arcade Games as Multi-agent Systems.
Proceedings of the Trends and Innovations in Information Systems and Technologies, 2020

Un lenguaje para la especificación de la lógica de juegos(A language for specifying game logic).
Proceedings of the VI Congreso de la Sociedad Española para las Ciencias del Videojuego, 2020

2019
Depth estimation improvement in 3D integral imaging using an edge removal approach.
Pattern Anal. Appl., 2019

Analyzing autostereoscopic environment configurations for the design of videogames.
Multim. Syst., 2019

Depth and All-in-Focus Image Estimation in Synthetic Aperture Integral Imaging Under Partial Occlusions.
IEEE Access, 2019

2017
Multidimensional Optical Sensing and Imaging System (MOSIS): From Macroscales to Microscales.
Proc. IEEE, 2017

Combining Defocus and Photoconsistency for Depth Map Estimation in 3D Integral Imaging.
Proceedings of the Pattern Recognition and Image Analysis - 8th Iberian Conference, 2017

Hacia la configuración óptima de entornos autoestereoscópicos para desarrollo de videojuegos.
Proceedings of the 4th Congreso de la Sociedad Española para las Ciencias del Videojuego, 2017

2014
Synthetic content generation for auto-stereoscopic displays.
Multim. Tools Appl., 2014

Modelling contextual constraints in probabilistic relaxation for multi-class semi-supervised learning.
Knowl. Based Syst., 2014

2013
Effect of Denoising in Band Selection for Regression Tasks in Hyperspectral Datasets.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2013

View Synthesis for Real Scene Visualisation on Autostereoscopic Displays.
Proceedings of the Pattern Recognition and Image Analysis - 6th Iberian Conference, 2013

2012
Filter-Type Variable Selection Based on Information Measures for Regression Tasks.
Entropy, 2012

2011
On the Importance of the Grid Size for Gender Recognition using Full Body Static Images.
Proceedings of the VISAPP 2011, 2011

Back Propagation with Balanced MSE Cost Function and Nearest Neighbor Editing for Handling Class Overlap and Class Imbalance.
Proceedings of the Advances in Computational Intelligence, 2011

Resampling Methods versus Cost Functions for Training an MLP in the Class Imbalance Context.
Proceedings of the Advances in Neural Networks - ISNN 2011, 2011

Semi-Supervised Learning from a Translation Model between Data Distributions.
Proceedings of the IJCAI 2011, 2011

Semi-supervised Probabilistic Relaxation for Image Segmentation.
Proceedings of the Pattern Recognition and Image Analysis - 5th Iberian Conference, 2011

Feature Selection in Regression Tasks Using Conditional Mutual Information.
Proceedings of the Pattern Recognition and Image Analysis - 5th Iberian Conference, 2011

Semi-supervised Classification by Probabilistic Relaxation.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2011

2010
Supervised feature selection by clustering using conditional mutual information-based distances.
Pattern Recognit., 2010

Cost-Sensitive Neural Networks and Editing Techniques for Imbalance Problems.
Proceedings of the Advances in Pattern Recognition, 2010

Edited Nearest Neighbor Rule for Improving Neural Networks Classifications.
Proceedings of the Advances in Neural Networks, 2010

A Semi-supervised Gaussian Mixture Model for Image Segmentation.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

2009
The Multi-Class Imbalance Problem: Cost Functions with Modular and Non-Modular Neural Networks.
Proceedings of the Sixth International Symposium on Neural Networks, 2009

Clustering-Based Feature Selection in Semi-supervised Problems.
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009

2008
From Narrow to Broad Band Design and Selection in Hyperspectral Images.
Proceedings of the Image Analysis and Recognition, 5th International Conference, 2008

An Empirical Study for the Multi-class Imbalance Problem with Neural Networks.
Proceedings of the Progress in Pattern Recognition, 2008

2007
Band Selection in Multispectral Images by Minimization of Dependent Information.
IEEE Trans. Syst. Man Cybern. Part C, 2007

Clustering-Based Hyperspectral Band Selection Using Information Measures.
IEEE Trans. Geosci. Remote. Sens., 2007

An analysis of how training data complexity affects the nearest neighbor classifiers.
Pattern Anal. Appl., 2007

Affine Illumination Compensation for Multispectral Images.
Proceedings of the Image Analysis, 15th Scandinavian Conference, 2007

Improving the Performance of the RBF Neural Networks Trained with Imbalanced Samples.
Proceedings of the Computational and Ambient Intelligence, 2007

Comparison of Unsupervised Band Selection Methods for Hyperspectral Imaging.
Proceedings of the Pattern Recognition and Image Analysis, Third Iberian Conference, 2007

When Overlapping Unexpectedly Alters the Class Imbalance Effects.
Proceedings of the Pattern Recognition and Image Analysis, Third Iberian Conference, 2007

2006
Experimental study on prototype optimisation algorithms for prototype-based classification in vector spaces.
Pattern Recognit., 2006

A meta-learning framework for pattern classification by means of data complexity measures.
Inteligencia Artif., 2006

Hyperspectral Data Selection from Mutual Information Between Image Bands.
Proceedings of the Structural, 2006

On the Use of Different Classification Rules in an Editing Task.
Proceedings of the Structural, 2006

Combined Effects of Class Imbalance and Class Overlap on Instance-Based Classification.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

Improving the Classification Accuracy of RBF and MLP Neural Networks Trained with Imbalanced Samples.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

Clustering-based multispectral band selection using mutual information.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Automatic Band Selection in Multispectral Images Using Mutual Information-Based Clustering.
Proceedings of the Progress in Pattern Recognition, 2006

A Method for Detection and Modeling of the Human Spine Based on Principal Curvatures.
Proceedings of the Progress in Pattern Recognition, 2006

2005
Data Characterization for Effective Prototype Selection.
Proceedings of the Pattern Recognition and Image Analysis, Second Iberian Conference, 2005

2004
Efficient nearest neighbor classification with data reduction and fast search algorithms.
Proceedings of the IEEE International Conference on Systems, 2004

Attribute Relevance in Multiclass Data Sets Using the Naive Bayes Rule.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

Unsupervised Band Selection for Multispectral Images using Information Theory.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

2003
Estimating Feature Weights For Distance-Based Classification.
Proceedings of the Pattern Recognition in Information Systems, 2003

Geometric Properties of the 3D Spine Curve.
Proceedings of the Pattern Recognition and Image Analysis, First Iberian Conference, 2003

2001
Approximated Tracking of Multiple Non-rigid Objects using Adaptive Quantization and Resampling Techniques.
Proceedings of the IASTED International Conference on Visualization, 2001


  Loading...