Albert Hung-Ren Ko

According to our database1, Albert Hung-Ren Ko authored at least 23 papers between 2006 and 2015.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2015
A dominance-based stepwise approach for sensor placement optimization.
Appl. Soft Comput., 2015

2014
A Classifier-free Ensemble Selection Method based on Data Diversity in Random Subspaces.
CoRR, 2014

2013
Performance of distributed multi-agent multi-state reinforcement spectrum management using different exploration schemes.
Expert Syst. Appl., 2013

Single Classifier-based Multiple Classification Scheme for weak classifiers: An experimental comparison.
Expert Syst. Appl., 2013

Single Classifier Based Multiple Classifications.
Proceedings of the Multiple Classifier Systems, 11th International Workshop, 2013

2011
A coverage dominance approach for sensor deployment optimization.
Proceedings of the 14th International Conference on Information Fusion, 2011

A novel measure for data stream anomaly detection in a bio-surveillance system.
Proceedings of the 14th International Conference on Information Fusion, 2011

2010
Topography-Aware Sensor Deployment Optimization with CMA-ES.
Proceedings of the Parallel Problem Solving from Nature, 2010

2009
Leave-One-Out-Training and Leave-One-Out-Testing Hidden Markov Models for a Handwritten Numeral Recognizer: The Implications of a Single Classifier and Multiple Classifications.
IEEE Trans. Pattern Anal. Mach. Intell., 2009

Ensemble of HMM classifiers based on the clustering validity index for a handwritten numeral recognizer.
Pattern Anal. Appl., 2009

Compound Diversity Functions for Ensemble Selection.
Int. J. Pattern Recognit. Artif. Intell., 2009

Evaluation of Different Strategies to Optimize an HMM-Based Character Recognition System.
Proceedings of the 10th International Conference on Document Analysis and Recognition, 2009

2008
From dynamic classifier selection to dynamic ensemble selection.
Pattern Recognit., 2008

The implication of data diversity for a classifier-free ensemble selection in random subspaces.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

A new HMM training and testing scheme.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

2007
Pairwise fusion matrix for combining classifiers.
Pattern Recognit., 2007

A New Dynamic Ensemble Selection Method for Numeral Recognition.
Proceedings of the Multiple Classifier Systems, 7th International Workshop, 2007

Applying Pairwise Fusion Matrix on Fusion Functions for Classifier Combination.
Proceedings of the Multiple Classifier Systems, 7th International Workshop, 2007

A New HMM-Based Ensemble Generation Method for Numeral Recognition.
Proceedings of the Multiple Classifier Systems, 7th International Workshop, 2007

K-Nearest Oracle for Dynamic Ensemble Selection.
Proceedings of the 9th International Conference on Document Analysis and Recognition (ICDAR 2007), 2007

2006
Combining Diversity and Classification Accuracy for Ensemble Selection in Random Subspaces.
Proceedings of the International Joint Conference on Neural Networks, 2006

A New Objective Function for Ensemble Selection in Random Subspaces.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Evolving ensemble of classifiers in random subspace.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006


  Loading...