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https://doi.org/10.2139/ssrn.4669089
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Outgoing claims: the papers this work cites, builds on, or argues with.
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A cooperative coevolutionary approach to function optimization
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A plant-wide industrial process control problem
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Sample-weighted clustering methods
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Multi-model adaptive soft sensor modeling method using local learning and online support vector regression for nonlinear time-variant batch processes
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Evolutionary optimization based pseudo labeling for semi-supervised soft sensor development of industrial processes
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Development of semi-supervised multiple-output soft-sensors with Co-training and tri-training MPLS and MRVM
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Fuzzy control optimized by PSO for vibration suppression of beams
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Probabilistic characterisation of model error using Gaussian mixture model—With application to Charpy impact energy prediction for alloy steel
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Quality prediction and analysis for large-scale processes based on multi-level principal component modeling strategy
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Ensemble model of wastewater treatment plant based on rich diversity of principal component determining by genetic algorithm for status monitoring
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Mode-cloud data analytics based transfer learning for soft sensor of manufacturing industry with incremental learning ability
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Neural networks-based hybrid beneficial variable selection and modeling for soft sensing
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Building energy consumption prediction using multilayer perceptron neural network-assisted models; comparison of different optimization algorithms
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Intelligent Manufacturing in the Context of Industry 4.0: A Review
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Intelligent Manufacturing for the Process Industry Driven by Industrial Artificial Intelligence
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Distance based resampling of imbalanced classes: With an application example of speech quality assessment
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A soft-sensor for sustainable operation of coagulation and flocculation units
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Semi-supervised support vector regression based on self-training with label uncertainty: An application to virtual metrology in semiconductor manufacturing
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Text classification method based on self-training and LDA topic models
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A comprehensive survey on regularization strategies in machine learning
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Large scale evolutionary optimization using cooperative coevolution
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Decomposition-based evolutionary algorithm for large scale constrained problems
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A new multi-objective particle swarm optimization algorithm based on decomposition
inferredcites →https://doi.org/10.1016/j.ins.2022.11.019openalex-extracted
Co-evolutionary competitive swarm optimizer with three-phase for large-scale complex optimization problem
inferredcites →https://doi.org/10.1016/j.ins.2023.119253openalex-extracted
Cooperative coevolutionary competition swarm optimizer with perturbation for high-dimensional multi-objective optimization
inferredcites →https://doi.org/10.1016/j.jprocont.2004.04.006openalex-extracted
Optimal selection of soft sensor inputs for batch distillation columns using principal component analysis
inferredcites →https://doi.org/10.1016/j.jprocont.2018.01.008openalex-extracted
Semisupervised learning for probabilistic partial least squares regression model and soft sensor application
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A consistency regularization based semi-supervised learning approach for intelligent fault diagnosis of rolling bearing
inferredcites →https://doi.org/10.1016/j.measurement.2021.109330openalex-extracted
Deep learning through LSTM classification and regression for transmission line fault detection, diagnosis and location in large-scale multi-machine power systems
inferredcites →https://doi.org/10.1016/j.measurement.2021.109788openalex-extracted
Semisupervised dynamic soft sensor based on complementary ensemble empirical mode decomposition and deep learning
inferredcites →https://doi.org/10.1016/j.measurement.2022.111823openalex-extracted
Soft sensor based on localized semi-supervised relevance vector machine for penicillin fermentation process with asymmetric data
inferredcites →https://doi.org/10.1016/j.measurement.2023.113036openalex-extracted
Pseudo label estimation based on label distribution optimization for industrial semi-supervised soft sensor
inferredcites →https://doi.org/10.1016/j.neucom.2012.01.006openalex-extracted
DCPE co-training for classification
inferredcites →https://doi.org/10.1016/j.neucom.2012.12.056openalex-extracted
Fast and simple gradient-based optimization for semi-supervised support vector machines
inferredcites →https://doi.org/10.1016/j.neucom.2017.04.018openalex-extracted
An efficient instance selection algorithm for k nearest neighbor regression
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Evolutionary extreme learning machine
inferredcites →https://doi.org/10.1016/j.swevo.2011.08.003openalex-extracted
An introduction and survey of estimation of distribution algorithms
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A brief introduction to weakly supervised learning
inferredcites →https://doi.org/10.1109/lgrs.2015.2402167openalex-extracted
Feature Extraction Using Weighted Training Samples
inferredcites →https://doi.org/10.1109/tase.2023.3290352openalex-extracted
Principal Component-Based Semi-Supervised Extreme Learning Machine for Soft Sensing
inferredcites →https://doi.org/10.1109/tcst.2016.2579609openalex-extracted
A Probabilistic Just-in-Time Learning Framework for Soft Sensor Development With Missing Data
inferredcites →https://doi.org/10.1109/tcyb.2014.2332003openalex-extracted
SEG-SSC: A Framework Based on Synthetic Examples Generation for Self-Labeled Semi-Supervised Classification
inferredcites →https://doi.org/10.1109/tgrs.2007.895416openalex-extracted
Semi-Supervised Graph-Based Hyperspectral Image Classification
inferredcites →https://doi.org/10.1109/tii.2009.2025124openalex-extracted
Data-Driven Soft Sensor Approach for Quality Prediction in a Refining Process
inferredcites →https://doi.org/10.1109/tii.2019.2938890openalex-extracted
Hierarchical Quality-Relevant Feature Representation for Soft Sensor Modeling: A Novel Deep Learning Strategy
inferredcites →https://doi.org/10.1109/tkde.2007.190644openalex-extracted
Semisupervised Regression with Cotraining-Style Algorithms
inferredcites →https://doi.org/10.1109/tkde.2009.187openalex-extracted
Combating the Small Sample Class Imbalance Problem Using Feature Selection
inferredcites →https://doi.org/10.1109/tpami.2006.82openalex-extracted
Selection of generative models in classification
inferredcites →https://doi.org/10.1109/tpami.2008.235openalex-extracted
SemiBoost: Boosting for Semi-Supervised Learning
inferredcites →https://doi.org/10.1126/science.1127647openalex-extracted
Reducing the Dimensionality of Data with Neural Networks
inferredcites →https://doi.org/10.1145/1007730.1007741openalex-extracted
Feature selection for text categorization on imbalanced data
inferredcites →https://doi.org/10.1145/1706591.1706599openalex-extracted
A discriminative model for semi-supervised learning
inferredcites →https://doi.org/10.1145/3578938openalex-extracted
Efficient Deep Learning: A Survey on Making Deep Learning Models Smaller, Faster, and Better
inferredcites →https://doi.org/10.1360/sst-2021-0405openalex-extracted
Perspectives on industrial-internet-driven intelligent optimizedmanufacturing mode for process industries
inferredcites →https://doi.org/10.1364/ao.43.000227openalex-extracted
Feature reduction and morphological processing for hyperspectral image data
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