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06/07/2022
PyTSK: A Python Toolbox for TSK Fuzzy Systems
This paper presents PyTSK, a Python toolbox for developing Takagi-Sugeno...
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02/08/2021
Curse of Dimensionality for TSK Fuzzy Neural Networks: Explanation and Solutions
Takagi-Sugeno-Kang (TSK) fuzzy system with Gaussian membership functions...
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11/30/2020
FCM-RDpA: TSK Fuzzy Regression Model Construction Using Fuzzy C-Means Clustering, Regularization, DropRule, and Powerball AdaBelief
To effectively optimize Takagi-Sugeno-Kang (TSK) fuzzy systems for regre...
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02/27/2020
Supervised Enhanced Soft Subspace Clustering (SESSC) for TSK Fuzzy Classifiers
Fuzzy c-means based clustering algorithms are frequently used for Takagi...
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11/10/2019
In Vitro Fertilization (IVF) Cumulative Pregnancy Rate Prediction from Basic Patient Characteristics
Tens of millions of women suffer from infertility worldwide each year. I...
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08/22/2019
Multi-Task Deep Learning with Dynamic Programming for Embryo Early Development Stage Classification from Time-Lapse Videos
Time-lapse is a technology used to record the development of embryos dur...
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08/01/2019
Optimize TSK Fuzzy Systems for Big Data Classification Problems: Bag of Tricks
Takagi-Sugeno-Kang (TSK) fuzzy systems are flexible and interpretable ma...
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08/08/2018
EEG-Based Driver Drowsiness Estimation Using Convolutional Neural Networks
Deep learning, including convolutional neural networks (CNNs), has start...
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04/30/2018