Citation Impact
Citing Papers
A hybrid classifier combining SMOTE with PSO to estimate 5-year survivability of breast cancer patients
2013
Evaluation Measures for Models Assessment over Imbalanced Data Sets
2013
The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation
2020 Standout
The Precision-Recall Plot Is More Informative than the ROC Plot When Evaluating Binary Classifiers on Imbalanced Datasets
2015 Standout
Information Technology and Product/Service Innovation: A Brief Assessment and Some Suggestions for Future Research
2013
A systematic study of the class imbalance problem in convolutional neural networks
2018 Standout
An efficient algorithm coupled with synthetic minority over-sampling technique to classify imbalanced PubChem BioAssay data
2013
A TRIZ-inspired bat algorithm for gene selection in cancer classification
2019
Diagnosis of Obstructive Sleep Apnea in Adults: A Clinical Practice Guideline From the American College of Physicians
2014
A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models
2019 Standout
An empirical study of a hybrid imbalanced-class DT-RST classification procedure to elucidate therapeutic effects in uremia patients
2016
A PSO-based multi-objective multi-label feature selection method in classification
2017
A review on genetic algorithm: past, present, and future
2020 Standout
Determining and forecasting drought susceptibility in southwestern Iran using multi-criteria decision-making (MCDM) coupled with CA-Markov model
2021 Standout
A Comprehensive Survey on Particle Swarm Optimization Algorithm and Its Applications
2015 Standout
2021 Guideline for the Prevention of Stroke in Patients With Stroke and Transient Ischemic Attack: A Guideline From the American Heart Association/American Stroke Association
2021 Standout
Universal structure modeling approach to customer satisfaction index
2013
An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics
2013 Standout
Stochastic Optimization: a Review
2002
Product services for a resource-efficient and circular economy – a review
2013 Standout
Two-echelon multiple-vehicle location–routing problem with time windows for optimization of sustainable supply chain network of perishable food
2014
Artificial intelligence and business models in the sustainable development goals perspective: A systematic literature review
2020 Standout
Improving renewable energy policy planning and decision-making through a hybrid MCDM method
2019 Standout
A new metaheuristic algorithm based on shark smell optimization
2014
A bottom‐up approach to discover transition rules of cellular automata using ant intelligence
2008
Learning from Imbalanced Data
2009 Standout
A review of data mining applications for quality improvement in manufacturing industry
2011
Application of planning models in the agri-food supply chain: A review
2008 Standout
Dynamic scheduling for flexible job shop with new job insertions by deep reinforcement learning
2020 Standout
Multi-criteria decision making approaches for supplier evaluation and selection: A literature review
2009 Standout
Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental analysis of power
2009 Standout
The state-of-the-art integrations and applications of the analytic hierarchy process
2017 Standout
Integrated analytic hierarchy process and its applications – A literature review
2007 Standout
A short-term load forecasting model of natural gas based on optimized genetic algorithm and improved BP neural network
2014 Standout
On the 2-tuples based genetic tuning performance for fuzzy rule based classification systems in imbalanced data-sets
2010
Discussion on the paper by Spiegelhalter, Best, Carlin and van der Linde
2002 Standout
An optimization approach for managing fresh food quality throughout the supply chain
2009 Standout
Analysis of an evolutionary RBFN design algorithm, CO2RBFN, for imbalanced data sets
2010
Synthesizing information systems knowledge: A typology of literature reviews
2014 Standout
A comprehensive review of big data analytics throughout product lifecycle to support sustainable smart manufacturing: A framework, challenges and future research directions
2018 Standout
Improved estimation of electricity demand function by integration of fuzzy system and data mining approach
2008
Evolving neural network using real coded genetic algorithm for daily rainfall–runoff forecasting
2008
Application of data mining techniques in customer relationship management: A literature review and classification
2008 Standout
Multi-objective optimisation of high-speed electrical discharge machining process using a Taguchi fuzzy-based approach
2006
Using the theory of inventive problem solving to brainstorm innovative ideas for assessing varieties of phone-cameras
2015
Using PLS path modeling in new technology research: updated guidelines
2016 Standout
Development of an intelligent customer‐supplier relationship management system: the application of case‐based reasoning
2003
An adaptive neuro-fuzzy inference system (ANFIS) model for wire-EDM
2008 Standout
The digital transformation of innovation and entrepreneurship: Progress, challenges and key themes
2019 Standout
HYBRID MULTIPLE CRITERIA DECISION MAKING METHODS: A REVIEW OF APPLICATIONS IN ENGINEERING
2016
A genetic algorithm for cellular manufacturing design and layout
2006
Optimizing multiple qualities in as‐spun polypropylene yarn by neural networks and genetic algorithms
2006
A review of applications of Analytic Hierarchy Process in operations management
2012
Improving imbalanced learning through a heuristic oversampling method based on k-means and SMOTE
2018 Standout
Data mining to improve personnel selection and enhance human capital: A case study in high-technology industry
2006 Standout
Artificial hummingbird algorithm: A new bio-inspired optimizer with its engineering applications
2021 Standout
Effective data generation for imbalanced learning using conditional generative adversarial networks
2017 Standout
Particle Swarm Optimization: A Comprehensive Survey
2022 Standout
Learning from class-imbalanced data: Review of methods and applications
2016 Standout
A hierarchical AHP/DEA methodology for the facilities layout design problem
2003
About the Use of TRIZ for Product-Service Development
2009
Addressing data complexity for imbalanced data sets: analysis of SMOTE-based oversampling and evolutionary undersampling
2010
Educational data mining: A survey and a data mining-based analysis of recent works
2013 Standout
Comprehensive Review of Artificial Neural Network Applications to Pattern Recognition
2019 Standout
Discovering medical quality of total hip arthroplasty by rough set classifier with imbalanced class
2011
A review on time series forecasting techniques for building energy consumption
2017 Standout
Fuzzy multiple criteria decision-making techniques and applications – Two decades review from 1994 to 2014
2015 Standout
Recent trends in modeling of deteriorating inventory
2001 Standout
The sequence of strategies when establishing Taiwanese restaurant in Thailand
2020
Digital Innovation Management: Reinventing Innovation Management Research in a Digital World
2017 Standout
Optimization of correlated multiple responses of ultrasonic machining (USM) process
2010
Analytic hierarchy process: An overview of applications
2004 Standout
Evolutionary Fuzzy ARTMAP Neural Networks for Classification of Semiconductor Defects
2014
Multiscale Convolutional Neural Networks for Fault Diagnosis of Wind Turbine Gearbox
2018 Standout
SMOTE–IPF: Addressing the noisy and borderline examples problem in imbalanced classification by a re-sampling method with filtering
2014
A future land use simulation model (FLUS) for simulating multiple land use scenarios by coupling human and natural effects
2017 Standout
Designing a sustainable supply chain network integrated with vehicle routing: A comparison of hybrid swarm intelligence metaheuristics
2018
Multi-response design of Nd:YAG laser drilling of Ni-based superalloy sheets using Taguchi’s quality loss function, multivariate statistical methods and artificial intelligence
2010
Achieving sustainable performance in a data-driven agriculture supply chain: A review for research and applications
2019 Standout
Inventive problem-solving map of innovative carbon emission strategies for solar energy-based transportation investment projects
2022 Standout
Integrating data envelopment analysis and analytic hierarchy for the facility layout design in manufacturing systems
2004
A state-of the-art survey of TOPSIS applications
2012 Standout
A discretization algorithm based on Class-Attribute Contingency Coefficient
2007
Triz Methodology and Applications
2019
A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches
2011 Standout
Feature selection of unreliable data using an improved multi-objective PSO algorithm
2015
Data mining techniques and applications – A decade review from 2000 to 2011
2012 Standout
Using expert technology to select unstable slicing machine to control wafer slicing quality via fuzzy AHP
2007
Generalizing from a Few Examples
2020 Standout
Works of Chao‐Ton Su being referenced
Knowledge Mining from Trained Neural Networks
2002
An inventory model with deteriorating items under inflation when a delay in payment is permissible
2000
A novel approach for optimizing the optical performance of the broadband tap coupler
2003
Data Mining Techniques for Assisting the Diagnosis of Pressure Ulcer Development in Surgical Patients
2011
An improved particle swarm optimization for feature selection
2012
Improvement of Process Capability Through Neural Networks and Robust Design: A Case Study
2002
Systematic layout planning: a study on semiconductor wafer fabrication facilities
2000
Optimization of TQFP molding process using neuro-fuzzy-GA approach
2003
Applying neural network approach to achieve robust design for dynamic quality characteristics
1998
Implementation of a customer satisfaction program: a case study
2002
Applying electromagnetism-like mechanism for feature selection
2010
Linking innovative product development with customer knowledge: a data-mining approach
2005
Did your efforts really win customers’ satisfaction?
2003
Optimizing the IC wire bonding process using a neural networks/genetic algorithms approach
2003
An enhanced knowledge representation for decision-tree based learning adaptive scheduling
2003
An extended Chi2 algorithm for discretization of real value attributes
2005
Real-time scheduling for a smart factory using a reinforcement learning approach
2018
Prediagnosis of Obstructive Sleep Apnea via Multiclass MTS
2012
Simultaneous optimisation of the broadband tap coupler optical performance based on neural networks and exponential desirability functions
2004
Knowledge acquisition through information granulation for imbalanced data
2005
Particle swarm optimization for feature selection with application in obstructive sleep apnea diagnosis
2011
A case study on the application of Fuzzy QFD in TRIZ for service quality improvement
2007
A comparison of search techniques for minimizing assembly time in printed wiring assembly
2000
Multi-objective machine-component grouping in cellular manufacturing: A genetic algorithm
1998
An Evaluation of the Robustness of MTS for Imbalanced Data
2007
Analysing optimum push/pull junction point location using multiple criteria decision‐making for multistage stochastic production system
2012
Applying robust multi-response quality engineering for parameter selection using a novel neural–genetic algorithm
2003
A new particle swarm feature selection method for classification
2013
The optimization of multi‐response problems in the Taguchi method
1997
Systematic improvement in service quality through TRIZ methodology: An exploratory study
2008