Feature selection and regularization of interpretable soft sensors using evolutionary multi-objective optimization design procedures

Ensemble learning by means of a multi-objective optimization design approach for dealing with imbalanced data sets

(2020) Victor Henrique Alves Ribeiro et al.   EXPERT SYSTEMS WITH APPLICATIONS

Multi-objective ensembles of echo state networks and extreme learning machines for streamflow series forecasting

(2020) Victor Henrique Alves Ribeiro et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Stacked Enhanced Auto-Encoder for Data-Driven Soft Sensing of Quality Variable

(2020) Xiaofeng Yuan et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

A novel two-stage forecasting model based on error factor and ensemble method for multi-step wind power forecasting

(2019) Yan Hao et al.   APPLIED ENERGY

Just-in-time learning based soft sensor with variable selection and weighting optimized by evolutionary optimization for quality prediction of nonlinear processes

(2019) Bei Pan et al.   CHEMICAL ENGINEERING RESEARCH & DESIGN

A holistic multi-objective optimization design procedure for ensemble member generation and selection

(2019) Victor Henrique Alves Ribeiro et al.   APPLIED SOFT COMPUTING

Machine Learning-Based Soft Sensors for the Estimation of Laundry Moisture Content in Household Dryer Appliances

(2019) Giuliano Zambonin et al.   Energies

A novel ensemble model of different mother wavelets for wind speed multi-step forecasting

(2018) Hui Liu et al.   APPLIED ENERGY

Multi-objective ensemble forecasting with an application to power transformers

(2018) Abdolrahman Peimankar et al.   APPLIED SOFT COMPUTING

A novel evolutionary multi-objective ensemble learning approach for forecasting currency exchange rates

(2018) Lam Thu Bui et al.   DATA & KNOWLEDGE ENGINEERING

Ensemble of optimized echo state networks for remaining useful life prediction

(2018) Marco Rigamonti et al.   NEUROCOMPUTING

Research and application of ensemble forecasting based on a novel multi-objective optimization algorithm for wind-speed forecasting

(2017) Zongxi Qu et al.   ENERGY CONVERSION AND MANAGEMENT

Multi-objective evolutionary feature selection for online sales forecasting

(2017) F. Jiménez et al.   NEUROCOMPUTING

Multiobjective Deep Belief Networks Ensemble for Remaining Useful Life Estimation in Prognostics

(2017) Chong Zhang et al.   IEEE Transactions on Neural Networks and Learning Systems

Active probabilistic sample selection for intelligent soft sensing of industrial processes

(2016) Zhiqiang Ge   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

A Survey on Evolutionary Computation Approaches to Feature Selection

(2016) Bing Xue et al.   IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION

Micro-optofluidic switch realized by 3D printing technology

(2016) Fabiana Cairone et al.   Microfluidics and Nanofluidics

Recent advances in differential evolution – An updated survey

(2016) Swagatam Das et al.   Swarm and Evolutionary Computation

Surrogate-assisted multi-objective model selection for support vector machines

(2015) Alejandro Rosales-Pérez et al.   NEUROCOMPUTING

Spatio-temporal adaptive soft sensor for nonlinear time-varying and variable drifting processes based on moving window LWPLS and time difference model

(2015) Xiaofeng Yuan et al.   Asia-Pacific Journal of Chemical Engineering

Physical programming for preference driven evolutionary multi-objective optimization

(2014) Gilberto Reynoso-Meza et al.   APPLIED SOFT COMPUTING

Local Partial Least Squares Based Online Soft Sensing Method for Multi-output Processes with Adaptive Process States Division

(2014) Weiming Shao et al.   CHINESE JOURNAL OF CHEMICAL ENGINEERING

Controller tuning using evolutionary multi-objective optimisation: Current trends and applications

(2014) Gilberto Reynoso-Meza et al.   CONTROL ENGINEERING PRACTICE

Active learning strategy for smart soft sensor development under a small number of labeled data samples

(2014) Zhiqiang Ge   JOURNAL OF PROCESS CONTROL

Evolutionary multi-objective generation of recurrent neural network ensembles for time series prediction

(2014) Christopher Smith et al.   NEUROCOMPUTING

Novel Just-In-Time Learning-Based Soft Sensor Utilizing Non-Gaussian Information

(2013) Lei Xie et al.   IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY

A few useful things to know about machine learning

(2012) Pedro Domingos   COMMUNICATIONS OF THE ACM

A comparative study of just-in-time-learning based methods for online soft sensor modeling

(2010) Zhiqiang Ge et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Data-driven Soft Sensors in the process industry

(2009) Petr Kadlec et al.   COMPUTERS & CHEMICAL ENGINEERING

PROMETHEE: A comprehensive literature review on methodologies and applications

(2009) Majid Behzadian et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH