| Author |
Title |
Year |
Publication |
Volume |
Pages  |
| Mohammad Ali Bagheri; Qigang Gao; Sergio Escalera |
A Genetic-based Subspace Analysis Method for Improving Error-Correcting Output Coding |
2013 |
Pattern Recognition |
46 |
2830-2839 |
| Mohammad Ali Bagheri; Qigang Gao; Sergio Escalera |
Generic Subclass Ensemble: A Novel Approach to Ensemble Classification |
2014 |
22nd International Conference on Pattern Recognition |
|
1254 - 1259 |
| Mohammad Ali Bagheri; Qigang Gao; Sergio Escalera |
Combining Local and Global Learners in the Pairwise Multiclass Classification |
2015 |
Pattern Analysis and Applications |
18 |
845-860 |
| Mohammad Ali Bagheri; Qigang Gao; Sergio Escalera |
Error Correcting Output Codes for multiclass classification: Application to two image vision problems |
2012 |
16th symposium on Artificial Intelligence & Signal Processing |
|
508-513 |
| Mohammad Ali Bagheri; Qigang Gao; Sergio Escalera |
Three-Dimensional Design of Error Correcting Output Codes |
2012 |
8th International Conference on Machine Learning and Data Mining |
|
29- |
| Mohammad Ali Bagheri; Qigang Gao; Sergio Escalera |
Efficient pairwise classification using Local Cross Off strategy |
2012 |
25th Canadian Conference on Artificial Intelligence |
7310 |
25-36 |
| Mohammad Ali Bagheri; Qigang Gao; Sergio Escalera |
Action Recognition by Pairwise Proximity Function Support Vector Machines with Dynamic Time Warping Kernels |
2016 |
29th Canadian Conference on Artificial Intelligence |
9673 |
3-14 |
| Mohammad Ali Bagheri; Qigang Gao; Sergio Escalera |
Logo recognition Based on the Dempster-Shafer Fusion of Multiple Classifiers |
2013 |
26th Canadian Conference on Artificial Intelligence |
7884 |
1-12 |
| Mohammad Ali Bagheri; Qigang Gao; Sergio Escalera |
Support Vector Machines with Time Series Distance Kernels for Action Classification |
2016 |
IEEE Winter Conference on Applications of Computer Vision |
|
1-7 |
