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Semantic Capture Analysis in Word Embedding Vectors Using Convolutional Neural Network
Recent Advances in Information Systems and Technologies, p.106-114
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Type-2 Fuzzy Logic for Improving Training Data and Response Integration in Modular Neural Networks for Image Recognition
Foundations of Fuzzy Logic and Soft Computing, p.604-612
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A new evolutionary method with fuzzy logic for combining Particle Swarm Optimization and Genetic Algorithms: The case of neural networks optimization
2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence), 2008, Vol.10, p.1536-1543
2008
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Estimating module relevance with Sugeno integration of modular neural networks using Interval Type-2 Fuzzy logic
2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence), 2008, Vol.10, p.1329-1335
2008
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General type-2 fuzzy edge detector applied on face recognition system using neural networks
2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2016, p.2325-2330
2016
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Comparison between Choquet and Sugeno integrals as aggregation operators for modular neural networks
2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2016, p.2331-2336
2016
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General Type-2 fuzzy edge detectors applied to face recognition systems
2016 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS), 2016, p.1-6
2016
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Comparison between Choquet and Sugeno integrals as aggregation operators for pattern recognition
2016 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS), 2016, p.1-6
2016
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Interval type-2 fuzzy integral to improve the performance of edge detectors based on the gradient measure
2012 Annual Meeting of the North American Fuzzy Information Processing Society (NAFIPS), 2012, p.1-6
2012
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Fuzzy operators for quality evaluation in images edge detection
2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS), 2013, p.1182-1187
2013
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Generalized type-2 fuzzy logic in response integration of modular neural networks
2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS), 2013, p.1331-1336
2013
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Optimization method for membership functions of type-2 fuzzy systems based on the level of uncertainty applied to the response integration of modular neural network for multimodal biometrics
2012 Annual Meeting of the North American Fuzzy Information Processing Society (NAFIPS), 2012, p.1-6
2012
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Response integration in modular neural networks using Choquet Integral with Interval type 2 Sugeno measures
2015 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) held jointly with 2015 5th World Conference on Soft Computing (WConSC), 2015, p.1-6
2015
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Interval type-2 fuzzy logic for image edge detection quality evaluation
2012 Annual Meeting of the North American Fuzzy Information Processing Society (NAFIPS), 2012, p.1-6
2012
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A New Method for Edge Detection in Image Processing Using Interval Type-2 Fuzzy Logic
2007 IEEE International Conference on Granular Computing (GRC 2007), 2007, p.151-151
2007
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Modular Neural Networks and Type-2 Fuzzy Logic for Face Recognition
NAFIPS 2007 - 2007 Annual Meeting of the North American Fuzzy Information Processing Society, 2007, p.622-627
2007
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Type-2 Fuzzy Systems for Improving Training Data and Decision Making in Modular Neural Networks for Image Recognition
2007 International Joint Conference on Neural Networks, 2007, p.2931-2935
2007
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Application of interval type-2 fuzzy logic for estimating module relevance in Sugeno integration of modular neural networks
2009 IEEE International Conference on Fuzzy Systems, 2009, p.2120-2125
2009
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An Intelligent System for Pattern Recognition and Time Series Prediction using Modular Neural Networks
The 2006 IEEE International Joint Conference on Neural Network Proceedings, 2006, p.4071-4077
2006
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Design and Implementation of a Fuzzy-Based Gain Scheduling Obstacle Avoidance Algorithm
2013 12th Mexican International Conference on Artificial Intelligence, 2013, p.45-49
2013
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