SMILES: A Multi-purpose Learning System
JELIA '02 Proceedings of the European Conference on Logics in Artificial Intelligence
Comparing Naive Bayes, Decision Trees, and SVM with AUC and Accuracy
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Impact Studies and Sensitivity Analysis in Medical Data Mining with ROC-based Genetic Learning
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Subgroup Discovery with CN2-SD
The Journal of Machine Learning Research
A study of the behavior of several methods for balancing machine learning training data
ACM SIGKDD Explorations Newsletter - Special issue on learning from imbalanced datasets
Using AUC and Accuracy in Evaluating Learning Algorithms
IEEE Transactions on Knowledge and Data Engineering
A support vector method for multivariate performance measures
ICML '05 Proceedings of the 22nd international conference on Machine learning
The relationship between Precision-Recall and ROC curves
ICML '06 Proceedings of the 23rd international conference on Machine learning
Learning probabilistic decision trees for AUC
Pattern Recognition Letters - Special issue: ROC analysis in pattern recognition
Multi-paradigm learning of declarative models: Thesis
AI Communications
Introducing possibilistic logic in ILP for dealing with exceptions
Artificial Intelligence
Maximizing the area under the ROC curve by pairwise feature combination
Pattern Recognition
Maximizing area under ROC curve for biometric scores fusion
Pattern Recognition
Cost-Sensitive Decision Trees with Pre-pruning
CAI '07 Proceedings of the 20th conference of the Canadian Society for Computational Studies of Intelligence on Advances in Artificial Intelligence
ECML '07 Proceedings of the 18th European conference on Machine Learning
Hinge Rank Loss and the Area Under the ROC Curve
ECML '07 Proceedings of the 18th European conference on Machine Learning
A Simple Lexicographic Ranker and Probability Estimator
ECML '07 Proceedings of the 18th European conference on Machine Learning
PKDD 2007 Proceedings of the 11th European conference on Principles and Practice of Knowledge Discovery in Databases
Efficient AUC Optimization for Classification
PKDD 2007 Proceedings of the 11th European conference on Principles and Practice of Knowledge Discovery in Databases
ECML PKDD '08 Proceedings of the 2008 European Conference on Machine Learning and Knowledge Discovery in Databases - Part I
Approximation of the Optimal ROC Curve and a Tree-Based Ranking Algorithm
ALT '08 Proceedings of the 19th international conference on Algorithmic Learning Theory
Naive Bayes for optimal ranking
Journal of Experimental & Theoretical Artificial Intelligence
Genetic programming for protein related text classification
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Terrain Segmentation with On-Line Mixtures of Experts for Autonomous Robot Navigation
MCS '09 Proceedings of the 8th International Workshop on Multiple Classifier Systems
Job Offer Management: How Improve the Ranking of Candidates
ISMIS '09 Proceedings of the 18th International Symposium on Foundations of Intelligent Systems
Constructing new and better evaluation measures for machine learning
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
AUC: a statistically consistent and more discriminating measure than accuracy
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Repairing concavities in ROC curves
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
IEEE Transactions on Information Theory
Why fuzzy decision trees are good rankers
IEEE Transactions on Fuzzy Systems
A symbolic fault-prediction model based on multiobjective particle swarm optimization
Journal of Systems and Software
RSD: relational subgroup discovery through first-order feature construction
ILP'02 Proceedings of the 12th international conference on Inductive logic programming
Medical data mining: insights from winning two competitions
Data Mining and Knowledge Discovery
Analysis of time series data with predictive clustering trees
KDID'06 Proceedings of the 5th international conference on Knowledge discovery in inductive databases
Detecting data misuse by applying context-based data linkage
Proceedings of the 2010 ACM workshop on Insider threats
PKDD'05 Proceedings of the 9th European conference on Principles and Practice of Knowledge Discovery in Databases
An imbalanced data rule learner
PKDD'05 Proceedings of the 9th European conference on Principles and Practice of Knowledge Discovery in Databases
Reinventing machine learning with ROC analysis
IBERAMIA-SBIA'06 Proceedings of the 2nd international joint conference, and Proceedings of the 10th Ibero-American Conference on AI 18th Brazilian conference on Advances in Artificial Intelligence
Pruning terminology extracted from a specialized corpus for CV ontology acquisition
OTM'06 Proceedings of the 2006 international conference on On the Move to Meaningful Internet Systems: AWeSOMe, CAMS, COMINF, IS, KSinBIT, MIOS-CIAO, MONET - Volume Part II
Evolving neural networks with maximum AUC for imbalanced data classification
HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part I
Training classifiers for unbalanced distribution and cost-sensitive domains with ROC analysis
PKAW'06 Proceedings of the 9th Pacific Rim Knowledge Acquisition international conference on Advances in Knowledge Acquisition and Management
Multi-objective evolutionary optimization for generating ensembles of classifiers in the ROC space
Proceedings of the 14th annual conference on Genetic and evolutionary computation
A hybrid approach to managing job offers and candidates
Information Processing and Management: an International Journal
Lexical knowledge acquisition using spontaneous descriptions in texts
NLDB'12 Proceedings of the 17th international conference on Applications of Natural Language Processing and Information Systems
A survey of cost-sensitive decision tree induction algorithms
ACM Computing Surveys (CSUR)
Building a generic graph-based descriptor set for use in drug discovery
AusDM '09 Proceedings of the Eighth Australasian Data Mining Conference - Volume 101
Pattern Recognition
ROC analysis of classifiers in machine learning: A survey
Intelligent Data Analysis
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