On the public citation graph

Fully Interpretable Stacking Fuzzy Classifier and its Stochastic Configuration Based Learning for High-Dimensional Data

https://doi.org/10.2139/ssrn.4782232
0 signed · 39 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-0-387-73003-5_196openalex-extracted
Gaussian Mixture Models
inferredcites →https://doi.org/10.1007/s00500-008-0323-yopenalex-extracted
KEEL: a software tool to assess evolutionary algorithms for data mining problems
inferredcites →https://doi.org/10.1007/s10994-009-5152-4openalex-extracted
A theory of learning from different domains
inferredcites →https://doi.org/10.1016/0098-3004(84)90020-7openalex-extracted
FCM: The fuzzy c-means clustering algorithm
inferredcites →https://doi.org/10.1016/j.artmed.2009.05.003openalex-extracted
An interpretable fuzzy rule-based classification methodology for medical diagnosis
inferredcites →https://doi.org/10.1016/j.ast.2022.107559openalex-extracted
Extended fuzzy first-order and second-moment method based on equivalent regularization for estimating failure credibility
inferredcites →https://doi.org/10.1016/j.ins.2016.03.050openalex-extracted
A novel multi-task TSK fuzzy classifier and its enhanced version for labeling-risk-aware multi-task classification
inferredcites →https://doi.org/10.1016/j.ins.2021.07.019openalex-extracted
A fuzzy association rule-based classifier for imbalanced classification problems
inferredcites →https://doi.org/10.1016/j.ins.2022.03.045openalex-extracted
Evolving multi-label fuzzy classifier
inferredcites →https://doi.org/10.1016/j.ins.2022.11.161openalex-extracted
A supervised fuzzy measure learning algorithm for combining classifiers
inferredcites →https://doi.org/10.1016/j.ins.2023.03.071openalex-extracted
A rule-based deep fuzzy system with nonlinear fuzzy feature transform for data classification
inferredcites →https://doi.org/10.1016/j.ins.2024.120132openalex-extracted
A holistic global-local stochastic configuration network modeling framework with antinoise awareness for efficient semi-supervised regression
inferredcites →https://doi.org/10.1016/j.ins.2024.120195openalex-extracted
Multi-task stochastic configuration network with autonomous linking and its application in wastewater treatment processes
inferredcites →https://doi.org/10.1016/j.knosys.2023.110292openalex-extracted
Motor imagery classification via stacking-based Takagi–Sugeno–Kang fuzzy classifier ensemble
inferredcites →https://doi.org/10.1109/fuzzy.2009.5277380openalex-extracted
Complexity, interpretability and explanation capability of fuzzy rule-based classifiers
inferredcites →https://doi.org/10.1109/sas.2013.6493568openalex-extracted
Fuzzy logic in heart rate and blood pressure measuring system
inferredcites →https://doi.org/10.1109/tcyb.2017.2734043openalex-extracted
Stochastic Configuration Networks: Fundamentals and Algorithms
inferredcites →https://doi.org/10.1109/tcyb.2018.2857815openalex-extracted
Fuzzy Broad Learning System: A Novel Neuro-Fuzzy Model for Regression and Classification
inferredcites →https://doi.org/10.1109/tcyb.2019.2925883openalex-extracted
2-D Stochastic Configuration Networks for Image Data Analytics
inferredcites →https://doi.org/10.1109/tcyb.2019.2927309openalex-extracted
Robust Adaptive Tracking Control for Hypersonic Vehicle Based on Interval Type-2 Fuzzy Logic System and Small-Gain Approach
inferredcites →https://doi.org/10.1109/tcyb.2020.3016972openalex-extracted
A Deep-Ensemble-Level-Based Interpretable Takagi–Sugeno–Kang Fuzzy Classifier for Imbalanced Data
inferredcites →https://doi.org/10.1109/tcyb.2021.3070578openalex-extracted
Type-2 Fuzzy Broad Learning System
inferredcites →https://doi.org/10.1109/tfuzz.2004.841728openalex-extracted
From a Gaussian mixture model to additive fuzzy systems
inferredcites →https://doi.org/10.1109/tfuzz.2016.2604003openalex-extracted
Deep TSK Fuzzy Classifier With Stacked Generalization and Triplely Concise Interpretability Guarantee for Large Data
inferredcites →https://doi.org/10.1109/tfuzz.2017.2729507openalex-extracted
Deep Takagi–Sugeno–Kang Fuzzy Classifier With Shared Linguistic Fuzzy Rules
inferredcites →https://doi.org/10.1109/tfuzz.2017.2785244openalex-extracted
Design of Reinforced Interval Type-2 Fuzzy C-Means-Based Fuzzy Classifier
inferredcites →https://doi.org/10.1109/tfuzz.2019.2919481openalex-extracted
A Novel Deep Fuzzy Classifier by Stacking Adversarial Interpretable TSK Fuzzy Sub-classifiers with Smooth Gradient Information
inferredcites →https://doi.org/10.1109/tfuzz.2021.3098339openalex-extracted
Deep Fuzzy Rule-Based Classification System With Improved Wang–Mendel Method
inferredcites →https://doi.org/10.1109/tfuzz.2021.3126116openalex-extracted
Multiclass Fuzzily Weighted Adaptive-Boosting-Based Self-Organizing Fuzzy Inference Ensemble Systems for Classification
inferredcites →https://doi.org/10.1109/tfuzz.2022.3215725openalex-extracted
A New Random Forest Ensemble of Intuitionistic Fuzzy Decision Trees
inferredcites →https://doi.org/10.1109/tfuzz.2022.3223700openalex-extracted
A Fully Interpretable First-Order TSK Fuzzy System and Its Training With Negative Entropic and Rule-Stability-Based Regularization
inferredcites →https://doi.org/10.1109/tfuzz.2024.3363623openalex-extracted
A Temporal Multi-View Fuzzy Classifier for Fusion Identification on Epileptic Brain Network
inferredcites →https://doi.org/10.1109/tnnls.2014.2341655openalex-extracted
On Equivalence of FIS and ELM for Interpretable Rule-Based Knowledge Representation
inferredcites →https://doi.org/10.1109/tpami.2020.2991050openalex-extracted
Maximum Density Divergence for Domain Adaptation
inferredcites →https://doi.org/10.1111/j.2517-6161.1977.tb01600.xopenalex-extracted
Maximum Likelihood from Incomplete Data Via the EM Algorithm
inferredcites →https://doi.org/10.2307/2005411openalex-extracted
Linear Algebra and Its Applications
inferredcites →https://doi.org/10.5555/1046920.1194903openalex-extracted
Combining Information Extraction Systems Using Voting and Stacked Generalization
inferredcites →https://doi.org/10.5555/2188385.2188410openalex-extracted
A kernel two-sample test
inferredcites →https://doi.org/10.9781/ijimai.2016.419openalex-extracted
Statistical Comparisons of the Top 10 Algorithms in Data Mining for Classification Task
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.