ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
Feature Selection for Ensembles: A Hierarchical Multi-Objective Genetic Algorithm Approach
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
A multistrategy approach for digital text categorization from imbalanced documents
ACM SIGKDD Explorations Newsletter - Special issue on learning from imbalanced datasets
Sentiment analysis in multiple languages: Feature selection for opinion classification in Web forums
ACM Transactions on Information Systems (TOIS)
Feature-based classifier ensembles for diagnosing multiple faults in rotating machinery
Applied Soft Computing
Multi-objective Feature Selection with NSGA II
ICANNGA '07 Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part I
Outlier Detection: An Approximate Reasoning Approach
RSEISP '07 Proceedings of the international conference on Rough Sets and Intelligent Systems Paradigms
Improving Features Subset Selection Using Genetic Algorithms for Iris Recognition
ANNPR '08 Proceedings of the 3rd IAPR workshop on Artificial Neural Networks in Pattern Recognition
Optimal Features Subset Selection Using Genetic Algorithms for Iris Recognition
ICIAR '08 Proceedings of the 5th international conference on Image Analysis and Recognition
Optimal features subset selection and classification for iris recognition
Journal on Image and Video Processing - Regular
Hierarchical Learning in Classification of Structured Objects
RSCTC '08 Proceedings of the 6th International Conference on Rough Sets and Current Trends in Computing
Partial Similarity of Objects, or How to Compare a Centaur to a Horse
International Journal of Computer Vision
Creating Human Activity Recognition Systems Using Pareto-based Multiobjective Optimization
AVSS '09 Proceedings of the 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance
IEEE Transactions on Information Technology in Biomedicine - Special section on body sensor networks
Domain knowledge assimilation by learning complex concepts
Transactions on rough sets VIII
Layered approximation approach to knowledge elicitation in machine learning
RSCTC'10 Proceedings of the 7th international conference on Rough sets and current trends in computing
Feature selection for multi-purpose predictive models: a many-objective task
PPSN'10 Proceedings of the 11th international conference on Parallel problem solving from nature: Part I
Iris recognition using genetic algorithms and asymmetrical SVMs
Machine Graphics & Vision International Journal
Selection of optimal features for iris recognition
ISNN'05 Proceedings of the Second international conference on Advances in neural networks - Volume Part II
Eliciting domain knowledge in handwritten digit recognition
PReMI'05 Proceedings of the First international conference on Pattern Recognition and Machine Intelligence
Domain knowledge assimilation by learning complex concepts
RSCTC'06 Proceedings of the 5th international conference on Rough Sets and Current Trends in Computing
A multi-objective memetic algorithm for intelligent feature extraction
EMO'05 Proceedings of the Third international conference on Evolutionary Multi-Criterion Optimization
An Approach to Pattern Recognition Based on Hierarchical Granular Computing
Fundamenta Informaticae - To Andrzej Skowron on His 70th Birthday
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This paper discusses the use of genetic algorithm for feature selection for handwriting recognition. Its novelty lies in the use of a multi-objective genetic algorithms where sensitivity analysis and neural network are employed to allow the use of a representative database to evaluate fitness and the use of a validation database to identify the subsets of selected features that provide a good generalization. Comprehensive experiments on the NIST database confirm the effectiveness of the proposed strategy.