Learning When Negative Examples Abound

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

Asymmetric Missing-data Problems: Overcoming the Lack of Negative Data in Preference Ranking

Information Retrieval

Scoring the Data Using Association Rules

Applied Intelligence

A Case Study for Learning from Imbalanced Data Sets

AI '01 Proceedings of the 14th Biennial Conference of the Canadian Society on Computational Studies of Intelligence: Advances in Artificial Intelligence

Supporting maintenance of legacy software with data mining techniques

CASCON '00 Proceedings of the 2000 conference of the Centre for Advanced Studies on Collaborative research

Supporting Software Maintenance by Mining Software Update Records

ICSM '01 Proceedings of the IEEE International Conference on Software Maintenance (ICSM'01)

Improved Rooftop Detection in Aerial Images with Machine Learning

Machine Learning

Mining with rarity: a unifying framework

ACM SIGKDD Explorations Newsletter - Special issue on learning from imbalanced datasets

Extreme re-balancing for SVMs: a case study

ACM SIGKDD Explorations Newsletter - Special issue on learning from imbalanced datasets

Classification and knowledge discovery in protein databases

Journal of Biomedical Informatics - Special issue: Biomedical machine learning

An experimental investigation of the impact of aggregation on the performance of data mining with logistic regression

Information and Management

Mining information extraction rules from datasheets without linguistic parsing

IEA/AIE'2005 Proceedings of the 18th international conference on Innovations in Applied Artificial Intelligence

Focusing on non-respondents: Response modeling with novelty detectors

Expert Systems with Applications: An International Journal

Improvement of the Parzen classifier in small training sample size situations

Intelligent Data Analysis

FAST: a roc-based feature selection metric for small samples and imbalanced data classification problems

Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining

Reducing False Alarm of Video-Based Smoke Detection by Support Vector Machine

PAISI, PACCF and SOCO '08 Proceedings of the IEEE ISI 2008 PAISI, PACCF, and SOCO international workshops on Intelligence and Security Informatics

Using Intuitionistic Fuzzy Sets in Text Categorization

ICAISC '08 Proceedings of the 9th international conference on Artificial Intelligence and Soft Computing

Minimizing the Imbalance Problem in Chromatographic Profile Classification with One-Class Classifiers

ICIAR '08 Proceedings of the 5th international conference on Image Analysis and Recognition

Imbalanced SVM Learning with Margin Compensation

ISNN '08 Proceedings of the 5th international symposium on Neural Networks: Advances in Neural Networks

An evolutionary approach to constructive induction for link discovery

Proceedings of the 11th Annual conference on Genetic and evolutionary computation

An evolutionary approach to constructive induction for link discovery

Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers

Classification of Imbalanced Data Sets by Using the Hybrid Re-sampling Algorithm Based on Isomap

ISICA '09 Proceedings of the 4th International Symposium on Advances in Computation and Intelligence

Constructing response model using ensemble based on feature subset selection

Expert Systems with Applications: An International Journal

An experimental investigation of the impact of aggregation on the performance of data mining with logistic regression

Information and Management

COG: local decomposition for rare class analysis

Data Mining and Knowledge Discovery

A rule-based scheme for filtering examples from majority class in an imbalanced training set

MLDM'03 Proceedings of the 3rd international conference on Machine learning and data mining in pattern recognition

Using XCS to describe continuous-valued problem spaces

IWLCS'03-05 Proceedings of the 2003-2005 international conference on Learning classifier systems

On the importance of data balancing for symbolic regression

IEEE Transactions on Evolutionary Computation

Automatic Moderation of Online Discussion Sites

International Journal of Electronic Commerce

The class imbalance problem in TLC image classification

ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part II

Improved response modeling based on clustering, under-sampling, and ensemble

Expert Systems with Applications: An International Journal

EUS SVMs: ensemble of under-sampled SVMs for data imbalance problems

ICONIP'06 Proceedings of the 13 international conference on Neural Information Processing - Volume Part I

Predicting the need for CT imaging in children with minor head injury using an ensemble of Naive Bayes classifiers

Artificial Intelligence in Medicine

DBSMOTE: Density-Based Synthetic Minority Over-sampling TEchnique

Applied Intelligence

Pedicle detection in planar radiographs based on image descriptors

ICIAR'12 Proceedings of the 9th international conference on Image Analysis and Recognition - Volume Part II

BRACID: a comprehensive approach to learning rules from imbalanced data

Journal of Intelligent Information Systems

DBFS: An effective Density Based Feature Selection scheme for small sample size and high dimensional imbalanced data sets

Data & Knowledge Engineering

How busy is my supervisor?: Detecting the visits in the office of my supervisor using a sensor network

Proceedings of the 5th International Conference on PErvasive Technologies Related to Assistive Environments

How lonely is your grandma?: detecting the visits to assisted living elderly from wireless sensor network data

Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication