PyTSK: A Python Toolbox for TSK Fuzzy Systems

1 code implementation • 7 Jun 2022 • Yuqi Cui, Dongrui Wu, Xue Jiang, Yifan Xu

This paper presents PyTSK, a Python toolbox for developing Takagi-Sugeno-Kang (TSK) fuzzy systems.

Clustering

Curse of Dimensionality for TSK Fuzzy Neural Networks: Explanation and Solutions

no code implementations • 8 Feb 2021 • Yuqi Cui, Dongrui Wu, Yifan Xu

We show that two defuzzification operations, LogTSK and HTSK, the latter of which is first proposed in this paper, can avoid the saturation.

FCM-RDpA: TSK Fuzzy Regression Model Construction Using Fuzzy C-Means Clustering, Regularization, DropRule, and Powerball AdaBelief

2 code implementations • 30 Nov 2020 • Zhenhua Shi, Dongrui Wu, Chenfeng Guo, Changming Zhao, Yuqi Cui, Fei-Yue Wang

To effectively optimize Takagi-Sugeno-Kang (TSK) fuzzy systems for regression problems, a mini-batch gradient descent with regularization, DropRule, and AdaBound (MBGD-RDA) algorithm was recently proposed.

Clustering regression

Supervised Enhanced Soft Subspace Clustering (SESSC) for TSK Fuzzy Classifiers

1 code implementation • 27 Feb 2020 • Yuqi Cui, Huidong Wang, Dongrui Wu

Fuzzy c-means based clustering algorithms are frequently used for Takagi-Sugeno-Kang (TSK) fuzzy classifier antecedent parameter estimation.

Clustering

In Vitro Fertilization (IVF) Cumulative Pregnancy Rate Prediction from Basic Patient Characteristics

no code implementations • 10 Nov 2019 • Bo Zhang, Yuqi Cui, Meng Wang, Jingjing Li, Lei Jin, Dongrui Wu

Tens of millions of women suffer from infertility worldwide each year.

Clustering

Multi-Task Deep Learning with Dynamic Programming for Embryo Early Development Stage Classification from Time-Lapse Videos

no code implementations • 22 Aug 2019 • Zihan Liu, Bo Huang, Yuqi Cui, Yifan Xu, Bo Zhang, Lixia Zhu, Yang Wang, Lei Jin, Dongrui Wu

Accurate classification of embryo early development stages can provide embryologists valuable information for assessing the embryo quality, and hence is critical to the success of IVF.

General Classification

Optimize TSK Fuzzy Systems for Classification Problems: Mini-Batch Gradient Descent with Uniform Regularization and Batch Normalization

1 code implementation • 1 Aug 2019 • Yuqi Cui, Jian Huang, Dongrui Wu

Takagi-Sugeno-Kang (TSK) fuzzy systems are flexible and interpretable machine learning models; however, they may not be easily optimized when the data size is large, and/or the data dimensionality is high.

General Classification Interpretable Machine Learning

OMG - Emotion Challenge Solution

no code implementations • 30 Apr 2018 • Yuqi Cui, Xiao Zhang, Yang Wang, Chenfeng Guo, Dongrui Wu

This short paper describes our solution to the 2018 IEEE World Congress on Computational Intelligence One-Minute Gradual-Emotional Behavior Challenge, whose goal was to estimate continuous arousal and valence values from short videos.

regression