How to Make Stacking Better and Faster While Also Taking Care of an Unknown Weakness

Is Combining Classifiers with Stacking Better than Selecting the Best One?

Machine Learning

Ensemble methods for spoken emotion recognition in call-centres

Speech Communication

Local voting of weak classifiers

International Journal of Knowledge-based and Intelligent Engineering Systems

Pruning extensions to stacking

Intelligent Data Analysis

On diversity and accuracy of homogeneous and heterogeneous ensembles

International Journal of Hybrid Intelligent Systems

Combining Classifiers through Triplet-Based Belief Functions

ECML PKDD '08 Proceedings of the 2008 European Conference on Machine Learning and Knowledge Discovery in Databases - Part I

Classification models for the prediction of clinicians' information needs

Journal of Biomedical Informatics

Locally application of cascade generalization for classification problems

Intelligent Decision Technologies

Classifier Combination Using a Class-indifferent Method

Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence

MLP, Gaussian Processes and Negative Correlation Learning for Time Series Prediction

MCS '09 Proceedings of the 8th International Workshop on Multiple Classifier Systems

Unsupervised Hierarchical Weighted Multi-segmenter

MCS '09 Proceedings of the 8th International Workshop on Multiple Classifier Systems

Taxonomy for characterizing ensemble methods in classification tasks: A review and annotated bibliography

Computational Statistics & Data Analysis

Activity recognition from accelerometer data

IAAI'05 Proceedings of the 17th conference on Innovative applications of artificial intelligence - Volume 3

Troika - An improved stacking schema for classification tasks

Information Sciences: an International Journal

Towards a theoretical framework for ensemble classification

IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence

GA-stacking: Evolutionary stacked generalization

Intelligent Data Analysis

Reranking for stacking ensemble learning

ICONIP'10 Proceedings of the 17th international conference on Neural information processing: theory and algorithms - Volume Part I

Using intelligence techniques to predict postoperative morbidity of endovascular aneurysm repair

ACIIDS'11 Proceedings of the Third international conference on Intelligent information and database systems - Volume Part I

Testing ensembles for intrusion detection: On the identification of mutated network scans

CISIS'11 Proceedings of the 4th international conference on Computational intelligence in security for information systems

Classification by cluster analysis: a new meta-learning based approach

MCS'11 Proceedings of the 10th international conference on Multiple classifier systems

Rule stacking: an approach for compressing an ensemble of rule sets into a single classifier

DS'11 Proceedings of the 14th international conference on Discovery science

Linear combination of component results in information retrieval

Data & Knowledge Engineering

StackTIS: A stacked generalization approach for effective prediction of translation initiation sites

Computers in Biology and Medicine

Error-sensitive grading for model combination

ECML'05 Proceedings of the 16th European conference on Machine Learning

Improving bagging performance through multi-algorithm ensembles

PAKDD'11 Proceedings of the 15th international conference on New Frontiers in Applied Data Mining

Intelligent Postoperative Morbidity Prediction of Heart Disease Using Artificial Intelligence Techniques

Journal of Medical Systems

Linear classifier combination and selection using group sparse regularization and hinge loss

Pattern Recognition Letters

An investigation into the application of ensemble learning for entailment classification

Information Processing and Management: an International Journal

Applying Ant Colony Optimization to configuring stacking ensembles for data mining

Expert Systems with Applications: An International Journal

Classification of major construction materials in construction environments using ensemble classifiers

Advanced Engineering Informatics