Machine Learning for the Detection of Oil Spills in Satellite Radar Images
Machine Learning - Special issue on applications of machine learning and the knowledge discovery process
Robust classification systems for imprecise environments
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
MetaCost: a general method for making classifiers cost-sensitive
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Data Mining and Knowledge Discovery
The Case against Accuracy Estimation for Comparing Induction Algorithms
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Robust Classification for Imprecise Environments
Machine Learning
AI '01 Proceedings of the 14th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
Concept-Learning in the Presence of Between-Class and Within-Class Imbalances
AI '01 Proceedings of the 14th Biennial Conference of the Canadian Society on Computational Studies of Intelligence: Advances in Artificial Intelligence
A Study on the Effect of Class Distribution Using Cost-Sensitive Learning
DS '02 Proceedings of the 5th International Conference on Discovery Science
"In vivo" spam filtering: a challenge problem for KDD
ACM SIGKDD Explorations Newsletter
Editorial: special issue on learning from imbalanced data sets
ACM SIGKDD Explorations Newsletter - Special issue on learning from imbalanced datasets
Learning to detect malicious executables in the wild
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Learning to predict train wheel failures
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Wrapper-based computation and evaluation of sampling methods for imbalanced datasets
UBDM '05 Proceedings of the 1st international workshop on Utility-based data mining
Cost-sensitive classifier evaluation
UBDM '05 Proceedings of the 1st international workshop on Utility-based data mining
Training Cost-Sensitive Neural Networks with Methods Addressing the Class Imbalance Problem
IEEE Transactions on Knowledge and Data Engineering
The relationship between Precision-Recall and ROC curves
ICML '06 Proceedings of the 23rd international conference on Machine learning
ROC graphs with instance-varying costs
Pattern Recognition Letters - Special issue: ROC analysis in pattern recognition
Maximizing classifier utility when training data is costly
ACM SIGKDD Explorations Newsletter
Learning to Detect and Classify Malicious Executables in the Wild
The Journal of Machine Learning Research
Minimax Regret Classifier for Imprecise Class Distributions
The Journal of Machine Learning Research
Classification of intrusion detection alerts using abstaining classifiers
Intelligent Data Analysis
Pointwise exact bootstrap distributions of cost curves
Proceedings of the 25th international conference on Machine learning
A New Performance Evaluation Method for Two-Class Imbalanced Problems
SSPR & SPR '08 Proceedings of the 2008 Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
B-ROC curves for the assessment of classifiers over imbalanced data sets
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
On multi-class cost-sensitive learning
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
SMOTE: synthetic minority over-sampling technique
Journal of Artificial Intelligence Research
Auto claim fraud detection using Bayesian learning neural networks
Expert Systems with Applications: An International Journal
Capturing heuristics and intelligent methods for improving micro-array data classification
IDEAL'07 Proceedings of the 8th international conference on Intelligent data engineering and automated learning
Cost-sensitive classifier evaluation using cost curves
PAKDD'08 Proceedings of the 12th Pacific-Asia conference on Advances in knowledge discovery and data mining
A contextual data mining approach toward assisting the treatment of anxiety disorders
IEEE Transactions on Information Technology in Biomedicine - Special section on new and emerging technologies in bioinformatics and bioengineering
Learning without default: a study of one-class classification and the low-default portfolio problem
AICS'09 Proceedings of the 20th Irish conference on Artificial intelligence and cognitive science
Maximum Likelihood in Cost-Sensitive Learning: Model Specification, Approximations, and Upper Bounds
The Journal of Machine Learning Research
eXiT*CBR: A framework for case-based medical diagnosis development and experimentation
Artificial Intelligence in Medicine
A unifying view on dataset shift in classification
Pattern Recognition
An alternative to ROC and AUC analysis of classifiers
IDA'11 Proceedings of the 10th international conference on Advances in intelligent data analysis X
Evaluating misclassifications in imbalanced data
ECML'06 Proceedings of the 17th European conference on Machine Learning
Severe class imbalance: why better algorithms aren't the answer
ECML'05 Proceedings of the 16th European conference on Machine Learning
Effectiveness evaluation of data mining based IDS
ICDM'06 Proceedings of the 6th Industrial Conference on Data Mining conference on Advances in Data Mining: applications in Medicine, Web Mining, Marketing, Image and Signal Mining
A comparison study of cost-sensitive classifier evaluations
BI'12 Proceedings of the 2012 international conference on Brain Informatics
Predictive model performance: offline and online evaluations
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
A granular neural network: Performance analysis and application to re-granulation
International Journal of Approximate Reasoning
A cost-sensitive decision tree approach for fraud detection
Expert Systems with Applications: An International Journal
The Journal of Machine Learning Research
Double-base asymmetric AdaBoost
Neurocomputing
Machine Learning
Cost-sensitive three-way email spam filtering
Journal of Intelligent Information Systems
ROC analysis of classifiers in machine learning: A survey
Intelligent Data Analysis
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