MCS '01 Proceedings of the Second International Workshop on Multiple Classifier Systems
Feature Subsets for Classifier Combination: An Enumerative Experiment
MCS '01 Proceedings of the Second International Workshop on Multiple Classifier Systems
Genetic Algorithms for Multi-classifier System Configuration: A Case Study in Character Recognition
MCS '01 Proceedings of the Second International Workshop on Multiple Classifier Systems
Trainable Multiple Classifier Schemes for Handwritten Character Recognition
MCS '02 Proceedings of the Third International Workshop on Multiple Classifier Systems
Exploiting Reliability for Dynamic Selection of Classifiers by Means of Genetic Algorithms
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
An evolutionary optimization approach for 3D human head model classification
MIR '03 Proceedings of the 5th ACM SIGMM international workshop on Multimedia information retrieval
Sensor fusion weighting measures in Audio-Visual Speech Recognition
ACSC '04 Proceedings of the 27th Australasian conference on Computer science - Volume 26
A genetic integrated fuzzy classifier
Pattern Recognition Letters - Special issue: Advances in pattern recognition
A probabilistic classifier system and its application in data mining
Evolutionary Computation
An integrated fuzzy cells-classifier
Image and Vision Computing
Maximum-entropy estimated distribution model for classification problems
International Journal of Hybrid Intelligent Systems
Ensembling evidential k-nearest neighbor classifiers through multi-modal perturbation
Applied Soft Computing
Using the RRT algorithm to optimize classification systems for handwritten digits and letters
Proceedings of the 2008 ACM symposium on Applied computing
Combining One Class Fuzzy KNN's
WILF '07 Proceedings of the 7th international workshop on Fuzzy Logic and Applications: Applications of Fuzzy Sets Theory
Fusers Based on Classifier Response and Discriminant Function --- Comparative Study
HAIS '08 Proceedings of the 3rd international workshop on Hybrid Artificial Intelligence Systems
A New Approach to Improving ICA-Based Models for the Classification of Microarray Data
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part III
Particle swarm optimization based multi-prototype ensembles
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Microarray data classification based on ensemble independent component selection
Computers in Biology and Medicine
Sequential genetic search for ensemble feature selection
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Genetic algorithms in classifier fusion
Applied Soft Computing
Feature Membership Functions in Voronoi-Based Zoning
AI*IA '09: Proceedings of the XIth International Conference of the Italian Association for Artificial Intelligence Reggio Emilia on Emergent Perspectives in Artificial Intelligence
Feature selection in heterogeneous structure of ensembles: a genetic algorithm approach
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Genetic algorithm optimized feature transformation: a comparison with different classifiers
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartII
Using genetic algorithms for data mining optimization in an educational web-based system
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartII
Context awareness system modeling and classifier combination
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
Evolutionary ensemble based pattern recognition by data context definition
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
Exploiting diversity in ensembles: improving the performance on unbalanced datasets
MCS'07 Proceedings of the 7th international conference on Multiple classifier systems
Cooperative coevolutionary ensemble learning
MCS'07 Proceedings of the 7th international conference on Multiple classifier systems
Evolutionary multiobjective optimization for generating an ensemble of fuzzy rule-based classifiers
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartI
Selecting features from multiple feature sets for SVM committee-based screening of human larynx
Expert Systems with Applications: An International Journal
Automatic induction of projection pursuit indices
IEEE Transactions on Neural Networks
Text-independent speaker identification using VQ-HMM model based multiple classifier system
MICAI'10 Proceedings of the 9th Mexican international conference on Artificial intelligence conference on Advances in soft computing: Part II
The design of evolutionary multiple classifier system for the classification of microarray data
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part III
A novel ensemble algorithm for biomedical classification based on Ant Colony Optimization
Applied Soft Computing
T-Test model for context aware classifier
ICNC'06 Proceedings of the Second international conference on Advances in Natural Computation - Volume Part I
A face detection using multiple detectors for external environment
FSKD'06 Proceedings of the Third international conference on Fuzzy Systems and Knowledge Discovery
Self-adaptive classifier fusion for expression-insensitive face recognition
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
PReMI'05 Proceedings of the First international conference on Pattern Recognition and Machine Intelligence
Feature extraction and evolution based pattern recognition
ICIC'06 Proceedings of the 2006 international conference on Intelligent Computing - Volume Part I
Combination of multiple nearest neighbor classifiers based on feature subset clustering method
ICMLC'05 Proceedings of the 4th international conference on Advances in Machine Learning and Cybernetics
Adaptive classifier combination for visual information processing using data context-awareness
IDA'05 Proceedings of the 6th international conference on Advances in Intelligent Data Analysis
Adaptive classifier selection on hierarchical context modeling for robust vision systems
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
Ultrasonic liver tissue characterization by feature fusion
Expert Systems with Applications: An International Journal
A new ensemble method for gold mining problems: Predicting technology transfer
Electronic Commerce Research and Applications
ReinSel: A class-based mechanism for feature selection in ensemble of classifiers
Applied Soft Computing
A generic classifier-ensemble approach for biomedical named entity recognition
PAKDD'12 Proceedings of the 16th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part I
EEM: evolutionary ensembles model for activity recognition in Smart Homes
Applied Intelligence
Classifier ensemble optimization for human activity recognition in smart homes
Proceedings of the 7th International Conference on Ubiquitous Information Management and Communication
Classifier fusion with interval-valued weights
Pattern Recognition Letters
Bio-Interactive Healthcare Service System Using Lifelog Based Context Computing
Wireless Personal Communications: An International Journal
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We suggest two simple ways to use a genetic algorithm (GA) to design a multiple-classifier system. The first GA version selects disjoint feature subsets to be used by the individual classifiers, whereas the second version selects (possibly) overlapping feature subsets, and also the types of the individual classifiers. The two GAs have been tested with four real data sets: heart, Satimage, letters, and forensic glasses. We used three-classifier systems and basic types of individual classifiers (the linear and quadratic discriminant classifiers and the logistic classifier). The multiple-classifier systems designed with the two GAs were compared against classifiers using: all features; the best feature subset found by the sequential backward selection method; and the best feature subset found by a CA. The GA design can be made less prone to overtraining by including penalty terms in the fitness function accounting for the number of features used.