Citation Impact
Citing Papers
Exploiting the Cost (In)sensitivity of Decision Tree Splitting Criteria
2000
Ensembling Predictions of Student Post-Test Scores for an Intelligent Tutoring System
2011
Analysis and visualization of classifier performance: comparison under imprecise class and cost distributions
1997
The Precision-Recall Plot Is More Informative than the ROC Plot When Evaluating Binary Classifiers on Imbalanced Datasets
2015 Standout
A systematic study of the class imbalance problem in convolutional neural networks
2018 Standout
Machine learning for molecular and materials science
2018 StandoutNature
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
Learning Bayesian network structures by searching for the best ordering with genetic algorithms
1996
An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics
2013 Standout
Collective Mining of Bayesian Networks from Distributed Heterogeneous Data
2004
New Applications of Ensembles of Classifiers
2003
Learning from Imbalanced Data
2009 Standout
Object tracking
2006 Standout
Robust Classification for Imprecise Environments
2001
Correlation-based Feature Selection for Machine Learning
1998 Standout
An introduction to ROC analysis
2005 Standout
Naive Bayesian Classifier for Rapid Assignment of rRNA Sequences into the New Bacterial Taxonomy
2007 Standout
Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental analysis of power
2009 Standout
Top 10 algorithms in data mining
2007 Standout
Relationships between Diversity of Classification Ensembles and Single-Class Performance Measures
2011
Cost-sensitive boosting for classification of imbalanced data
2007 Standout
Lazy Learning of Bayesian Rules
2000
A survey on Image Data Augmentation for Deep Learning
2019 Standout
Maximum entropy modeling of species geographic distributions
2005 Standout
A few useful things to know about machine learning
2012 Standout
Variational Mode Decomposition
2014 Standout
Discretization for naive-Bayes learning: managing discretization bias and variance
2008
CLASSIFICATION OF IMBALANCED DATA: A REVIEW
2009 Standout
A measure of spatial stratified heterogeneity
2016 Standout
AUC: a misleading measure of the performance of predictive distribution models
2007 Standout
Statistical pattern recognition: a review
2000 Standout
Improving imbalanced learning through a heuristic oversampling method based on k-means and SMOTE
2018 Standout
Idiot's Bayes—Not So Stupid After All?
2001
Effective data generation for imbalanced learning using conditional generative adversarial networks
2017 Standout
Battery Lifetime Prognostics
2020 Standout
Learning from class-imbalanced data: Review of methods and applications
2016 Standout
SMOTE: Synthetic Minority Over-sampling Technique
2002 Standout
Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence
2023 Standout
On the Optimality of the Simple Bayesian Classifier under Zero-One Loss
1997 Standout
Educational data mining: A survey and a data mining-based analysis of recent works
2013 Standout
Bayesian Network Classifiers
1997 Standout
Machine Learning for the Detection of Oil Spills in Satellite Radar Images
1998
Clustering by fast search and find of density peaks
2014 StandoutScience
Finding the Best Classification Threshold in Imbalanced Classification
2016
Ant colony optimization
2006 Standout
Data Mining: Practical Machine Learning Tools and Techniques
2011 Standout
Performance of some variable selection methods when multicollinearity is present
2005 Standout
Oil spill detection by satellite remote sensing
2005 Standout
Ant colony optimization for learning Bayesian networks
2002
Data clustering: 50 years beyond K-means
2009 Standout
Machine learning in automated text categorization
2002 Standout
A survey on feature selection methods
2013 Standout
Data mining: concepts and techniques
2012 Standout
A Simple Generalisation of the Area Under the ROC Curve for Multiple Class Classification Problems
2001 Standout
Selection of relevant features and examples in machine learning
1997 Standout
A Survey on Human Activity Recognition using Wearable Sensors
2012 Standout
Gene Selection for Cancer Classification using Support Vector Machines
2002 Standout
A review of feature selection techniques in bioinformatics
2007 Standout
KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation
2021
Data mining with big data
2013 Standout
Structural Topic Models for Open‐Ended Survey Responses
2014 Standout
A Survey on Knowledge Graphs: Representation, Acquisition, and Applications
2021 Standout
Works of Moninder Singh being referenced
AI Explainability 360: An Extensible Toolkit for Understanding Data and Machine Learning Models
2020
Learning goal oriented Bayesian networks for telecommunications risk management
1996
Winning the KDD Cup Orange Challenge with ensemble selection
2009
Learning Bayesian networks from incomplete data
1997
Efficient learning of selective Bayesian network classifiers
1996
K-means clustering of proportional data using L1 distance
2008
Construction of Bayesian network structures from data: A brief survey and an efficient algorithm
1995