Citation Impact
Citing Papers
Improving Models of Slipping, Guessing, and Moment-By-Moment Learning with Estimates of Skill Difficulty.
2011
Ensembling Predictions of Student Post-Test Scores for an Intelligent Tutoring System
2011
Towards Sensor-Free Affect Detection in Cognitive Tutor Algebra.
2012
Factorization Models for Forecasting Student Performance
2011
Analysis of Neighbourhoods in Multi-layered Dynamic Social Networks
2012
Single-cell transcriptome landscape of circulating CD4+ T cell populations in autoimmune diseases
2024 StandoutNobel
The role of artificial intelligence in achieving the Sustainable Development Goals
2020 Standout
Introduction to the special issue on learning from multi-label data
2012
An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics
2013 Standout
Monte Carlo approximation in incomplete information, sequential auction games
2003
Notes on Equilibria in Symmetric Games
2004
Online sparse class imbalance learning on big data
2016
A survey on FinTech
2017 Standout
A Systematic Review on Educational Data Mining
2017 Standout
Generic normal cloud model
2014 Standout
Last-Minute Bidding and the Rules for Ending Second-Price Auctions: Evidence from eBay and Amazon Auctions on the Internet
2002 StandoutNobel
Educational data mining and learning analytics for 21st century higher education: A review and synthesis
2019 Standout
Multilayer networks
2014 Standout
Short-Term Load Forecasting for Industrial Customers Based on TCN-LightGBM
2020 Standout
A Comprehensive Survey on Transfer Learning
2020 Standout
Human Digital Twin for Fitness Management
2020
2016 Standout
Sentiment analysis on massive open online course evaluations: A text mining and deep learning approach
2020 Standout
Collapse and reorganization patterns of social knowledge representation in evolving semantic networks
2012
Improving imbalanced learning through a heuristic oversampling method based on k-means and SMOTE
2018 Standout
Learning from class-imbalanced data: Review of methods and applications
2016 Standout
Learning from imbalanced data: open challenges and future directions
2016 Standout
Educational data mining: A survey and a data mining-based analysis of recent works
2013 Standout
Cost-Sensitive Online Classification
2013
Evolutionary games on graphs
2007 Standout
Classification assessment methods
2018 Standout
A Tutorial on Multilabel Learning
2015 Standout
LightGBM: A Highly Efficient Gradient Boosting Decision Tree
2017 Standout
Imbalanced classification in sparse and large behaviour datasets
2017
SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary
2018 Standout
Unveiling Hidden Implicit Similarities for Cross-Domain Recommendation
2019
A Review on Multi-Label Learning Algorithms
2013 Standout
A systematic review and taxonomy of explanations in decision support and recommender systems
2017
The Role of AI, Machine Learning, and Big Data in Digital Twinning: A Systematic Literature Review, Challenges, and Opportunities
2021 Standout
Works of Shou-De Lin being referenced
Interesting instance discovery in multi-relational data
2004
Feature Engineering and Classifier Ensemble for KDD Cup 2010
2010
A Ranking-based KNN Approach for Multi-Label Classification
2012
Designing the market game for a trading agent competition
2001
Learning to improve area-under-FROC for imbalanced medical data classification using an ensemble method
2008
Generalized <italic>k</italic>-Labelsets Ensemble for Multi-Label and Cost-Sensitive Classification
2013
Cost-Sensitive Multi-Label Learning for Audio Tag Annotation and Retrieval
2011
A General Framework for Implicit and Explicit Social Recommendation
2018
Learning-based concept-hierarchy refinement through exploiting topology, content and social information
2011
A modified random walk framework for handling negative ratings and generating explanations
2013