Citation Impact
Citing Papers
Sentiment analysis algorithms and applications: A survey
2014 Standout
Recommendation systems: Principles, methods and evaluation
2015
Analysis of preprocessing vs. cost-sensitive learning for imbalanced classification. Open problems on intrinsic data characteristics
2011
Concept learning via granular computing: A cognitive viewpoint
2014 Standout
An efficient algorithm coupled with synthetic minority over-sampling technique to classify imbalanced PubChem BioAssay data
2013
Machine Learning: Algorithms, Real-World Applications and Research Directions
2021 Standout
An empirical study of a hybrid imbalanced-class DT-RST classification procedure to elucidate therapeutic effects in uremia patients
2016
A Comprehensive Review of YOLO Architectures in Computer Vision: From YOLOv1 to YOLOv8 and YOLO-NAS
2023 Standout
An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics
2013 Standout
Document-level sentiment classification: An empirical comparison between SVM and ANN
2012
A survey on opinion mining and sentiment analysis: Tasks, approaches and applications
2015 Standout
Data-Based Techniques Focused on Modern Industry: An Overview
2014
Cross-Border Electronic Commerce: Distance Effects and Express Delivery in European Union Markets
2017 Standout
Assessing Euro 2020 Strategy Using Multi-criteria Decision Making Methods: VIKOR and TOPSIS
2018 Standout
Learning from Imbalanced Data
2009 Standout
A hierarchical model of the impact of RFID practices on retail supply chain performance
2013
Internet of things and supply chain management: a literature review
2017 Standout
Distributed recommender for peer-to-peer knowledge sharing
2010
RWO-Sampling: A random walk over-sampling approach to imbalanced data classification
2014
A mathematical model for concept granular computing systems
2010
On the 2-tuples based genetic tuning performance for fuzzy rule based classification systems in imbalanced data-sets
2010
Analysis of an evolutionary RBFN design algorithm, CO2RBFN, for imbalanced data sets
2010
A new similarity function for selecting neighbors for each target item in collaborative filtering
2012
Optimizing shipping-fee schedules to maximize e-tailer profits
2013
An empirical study of the classification performance of learners on imbalanced and noisy software quality data
2011
Machine Learning and Deep Learning in smart manufacturing: The Smart Grid paradigm
2021 Standout
Incorporating context into recommender systems: an empirical comparison of context-based approaches
2012
A google wave-based fuzzy recommender system to disseminate information in University Digital Libraries 2.0
2011
A hybrid recommender system for the selective dissemination of research resources in a Technology Transfer Office
2011
A quality based recommender system to disseminate information in a university digital library
2013
Collaborative filtering with ordinal scale-based implicit ratings for mobile music recommendations
2010
Recent advances on SVM based fault diagnosis and process monitoring in complicated industrial processes
2015
Recommender systems survey
2013 Standout
20 years of Electronic Commerce Research
2021 Standout
Learning from class-imbalanced data: Review of methods and applications
2016 Standout
Recommendation system based on deep learning methods: a systematic review and new directions
2019 Standout
Hybridizing principles of TOPSIS with case-based reasoning for business failure prediction
2010
A hybrid online-product recommendation system: Combining implicit rating-based collaborative filtering and sequential pattern analysis
2012
Data Mining and Analytics in the Process Industry: The Role of Machine Learning
2017
Discovering medical quality of total hip arthroplasty by rough set classifier with imbalanced class
2011
Deep learning and its applications to machine health monitoring
2018 Standout
Learning management knowledge for manufacturing systems in the early stages using time series data
2006
Opinion mining using principal component analysis based ensemble model for e-commerce application
2014
Applications of machine learning to machine fault diagnosis: A review and roadmap
2020 Standout
SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary
2018 Standout
Video Analysis in Sports by Lightweight Object Detection Network under the Background of Sports Industry Development
2022
Improving concept design of divertor support system for FAST tokamak using TRIZ theory and AHP approach
2013
A state-of the-art survey of TOPSIS applications
2012 Standout
An Evaluation of the Robustness of MTS for Imbalanced Data
2007
Multiple criteria decision-making techniques and their applications – a review of the literature from 2000 to 2014
2015 Standout
Recommender system application developments: A survey
2015 Standout
A New Deep Transfer Learning Based on Sparse Auto-Encoder for Fault Diagnosis
2017 Standout
Forecasting SMEs' credit risk in supply chain finance with an enhanced hybrid ensemble machine learning approach
2019 Standout
The Role of AI, Machine Learning, and Big Data in Digital Twinning: A Systematic Literature Review, Challenges, and Opportunities
2021 Standout
A Survey of Recommendation Systems: Recommendation Models, Techniques, and Application Fields
2022 Standout
A non-parametric learning algorithm for small manufacturing data sets
2006
A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches
2011 Standout
Works of Long‐Sheng Chen being referenced
Using a Text Mining Approach to Hear Voices of Customers from Social Media toward the Fast-Food Restaurant Industry
2020
Using SVM based method for equipment fault detection in a thermal power plant
2010
An innovative approach for RFID product functions development
2011
Knowledge acquisition through information granulation for imbalanced data
2005
Integrating independent component analysis and support vector machine for multivariate process monitoring
2010
A neural network based information granulation approach to shorten the cellular phone test process
2006
A neural network based approach for sentiment classification in the blogosphere
2011
A novel process monitoring approach with dynamic independent component analysis
2009
An association-based case reduction technique for case-based reasoning
2008
Using Functional Virtual Population as assistance to learn scheduling knowledge in dynamic manufacturing environments
2003
Developing recommender systems with the consideration of product profitability for sellers
2007
Intelligent ICA–SVM fault detector for non-Gaussian multivariate process monitoring
2009
An information granulation based data mining approach for classifying imbalanced data
2008