Olivia Mendoza

Orcid: 0000-0002-9321-2322

According to our database1, Olivia Mendoza authored at least 53 papers between 2005 and 2022.

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

Timeline

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Bibliography

2022
Interpretable Mamdani neuro-fuzzy model through context awareness and linguistic adaptation.
Expert Syst. Appl., 2022

Hierarchical Decision Granules Optimization through the Principle of Justifiable Granularity.
Computación y Sistemas, 2022

2020
Design of an interval Type-2 fuzzy model with justifiable uncertainty.
Inf. Sci., 2020

2019
General Type-2 Fuzzy Sugeno Integral for Edge Detection.
J. Imaging, 2019

2018
Optimization of Ensemble Neural Networks with Type-1 and Interval Type-2 Fuzzy Integration for Forecasting the Taiwan Stock Exchange.
Proceedings of the Advances in Data Analysis with Computational Intelligence Methods, 2018

2017
Particle Swarm Optimization of Ensemble Neural Networks with Type-1 and Type-2 Fuzzy Integration for the Taiwan Stock Exchange.
Proceedings of the Nature-Inspired Design of Hybrid Intelligent Systems, 2017

Choquet Integral and Interval Type-2 Fuzzy Choquet Integral for Edge Detection.
Proceedings of the Nature-Inspired Design of Hybrid Intelligent Systems, 2017

General Type-2 Fuzzy Edge Detection in the Preprocessing of a Face Recognition System.
Proceedings of the Nature-Inspired Design of Hybrid Intelligent Systems, 2017

Semantic Capture Analysis in Word Embedding Vectors Using Convolutional Neural Network.
Proceedings of the Recent Advances in Information Systems and Technologies, 2017

2016
An improved sobel edge detection method based on generalized type-2 fuzzy logic.
Soft Comput., 2016

Fuzzy Sets in Dynamic Adaptation of Parameters of a Bee Colony Optimization for Controlling the Trajectory of an Autonomous Mobile Robot.
Sensors, 2016

Method for Higher Order polynomial Sugeno Fuzzy Inference Systems.
Inf. Sci., 2016

Optimization of interval type-2 fuzzy systems for image edge detection.
Appl. Soft Comput., 2016

General Type-2 fuzzy edge detectors applied to face recognition systems.
Proceedings of the 2016 Annual Conference of the North American Fuzzy Information Processing Society, 2016

Comparison between Choquet and Sugeno integrals as aggregation operators for pattern recognition.
Proceedings of the 2016 Annual Conference of the North American Fuzzy Information Processing Society, 2016

Comparison between Choquet and Sugeno integrals as aggregation operators for modular neural networks.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

General type-2 fuzzy edge detector applied on face recognition system using neural networks.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

2015
Face Recognition with a Sobel Edge Detector and the Choquet Integral as Integration Method in a Modular Neural Networks.
Proceedings of the Design of Intelligent Systems Based on Fuzzy Logic, 2015

Color Image Edge Detection Method Based on Interval Type-2 Fuzzy Systems.
Proceedings of the Design of Intelligent Systems Based on Fuzzy Logic, 2015

Response integration in modular neural networks using Choquet Integral with Interval type 2 Sugeno measures.
Proceedings of the 2015 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) held jointly with 2015 5th World Conference on Soft Computing (WConSC), 2015

Edge detection method based on Interval type-2 fuzzy systems for color images.
Proceedings of the 2015 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) held jointly with 2015 5th World Conference on Soft Computing (WConSC), 2015

The Theta/Beta Ratio as an Indicator of Evolution in Pediatric Patients Treated for Attention-Deficit/Hyperactivity Disorder (ADHD) - A Retrospective Study.
Proceedings of the BIOSIGNALS 2015, 2015

2014
Face Recognition with Choquet Integral in Modular Neural Networks.
Proceedings of the Recent Advances on Hybrid Approaches for Designing Intelligent Systems, 2014

Edge-Detection Method for Image Processing Based on Generalized Type-2 Fuzzy Logic.
IEEE Trans. Fuzzy Syst., 2014

Choquet Integral with Interval Type 2 Sugeno Measures as an Integration Method for Modular Neural Networks.
Proceedings of the Recent Developments and New Direction in Soft-Computing Foundations and Applications, 2014

Optimization by Cuckoo Search of Interval Type-2 Fuzzy Logic Systems for Edge Detection.
Proceedings of the Recent Developments and New Direction in Soft-Computing Foundations and Applications, 2014

2013
Interval Type-2 Fuzzy System for Image Edge Detection Quality Evaluation Applied to Synthetic and Real Images.
Proceedings of the Recent Advances on Hybrid Intelligent Systems, 2013

A visual toolbox for modeling and testing multi-net neural systems.
Comput. Appl. Eng. Educ., 2013

Fuzzy operators for quality evaluation in images edge detection.
Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013

Generalized type-2 fuzzy logic in response integration of modular neural networks.
Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013

2011
An Interval Type-2 Fuzzy Neural Network for Chaotic Time Series Prediction with Cross-Validation and Akaike Test.
Proceedings of the Soft Computing for Intelligent Control and Mobile Robotics, 2011

Face Recognition With an Improved Interval Type-2 Fuzzy Logic Sugeno Integral and Modular Neural Networks.
IEEE Trans. Syst. Man Cybern. Part A, 2011

2010
Comparison of Fuzzy Edge Detectors Based on the Image Recognition Rate as Performance Index Calculated with Neural Networks.
Proceedings of the Soft Computing for Recognition Based on Biometrics, 2010

An improved method for edge detection based on interval type-2 fuzzy logic.
Expert Syst. Appl., 2010

Neural networks recognition rate as index to compare the performance of fuzzy edge detectors.
Proceedings of the International Joint Conference on Neural Networks, 2010

Evolutionary optimization of type-2 fuzzy systems based on the level of uncertainty.
Proceedings of the FUZZ-IEEE 2010, 2010

2009
A hybrid approach for image recognition combining type-2 fuzzy logic, modular neural networks and the Sugeno integral.
Inf. Sci., 2009

Interval type-2 fuzzy logic for edges detection in digital images.
Int. J. Intell. Syst., 2009

Interval type-2 fuzzy logic and modular neural networks for face recognition applications.
Appl. Soft Comput., 2009

Application of interval type-2 fuzzy logic for estimating module relevance in Sugeno integration of modular neural networks.
Proceedings of the FUZZ-IEEE 2009, 2009

The Use of Interval Type-2 Fuzzy Logic as a General Method for Edge Detection.
Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 2009

Universal Approximation of a Class of Interval Type-2 Fuzzy Neural Networks Illustrated with the Case of Non-linear Identification.
Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 2009

2008
Interval Type-2 Fuzzy Logic for Module Relevance Estimation in Sugeno Integration of Modular Neural Networks.
Proceedings of the Soft Computing for Hybrid Intelligent Systems, 2008

A new evolutionary method with fuzzy logic for combining Particle Swarm Optimization and Genetic Algorithms: The case of neural networks optimization.
Proceedings of the International Joint Conference on Neural Networks, 2008

Estimating module relevance with Sugeno integration of modular neural networks using Interval Type-2 Fuzzy logic.
Proceedings of the International Joint Conference on Neural Networks, 2008

2007
The Fuzzy Sugeno Integral as a Decision Operator in the Recognition of Images with Modular Neural Networks.
Proceedings of the Hybrid Intelligent Systems - Analysis and Design, 2007

Fuzzy Inference Systems Type-1 and Type-2 for Digital Images Edge Detection.
Eng. Lett., 2007

A hybrid modular neural network architecture with fuzzy Sugeno integration for time series forecasting.
Appl. Soft Comput., 2007

Type-2 Fuzzy Systems for Improving Training Data and Decision Making in Modular Neural Networks for Image Recognition.
Proceedings of the International Joint Conference on Neural Networks, 2007

Type-2 Fuzzy Logic for Improving Training Data and Response Integration in Modular Neural Networks for Image Recognition.
Proceedings of the Foundations of Fuzzy Logic and Soft Computing, 2007

A New Method for Edge Detection in Image Processing Using Interval Type-2 Fuzzy Logic.
Proceedings of the 2007 IEEE International Conference on Granular Computing, 2007

2006
An Intelligent System for Pattern Recognition and Time Series Prediction using Modular Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2006

2005
An Intelligent System for Modeling and Simulation with Modular Neural Networks.
Proceedings of the 2005 International Conference on Artificial Intelligence, 2005


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