| An Adaptive Multiview Active Learning Approach for Spectral–Spatial Classification of Hyperspectral Images | 0 | 0.34 | 2020 |
| Active-Metric Learning for Classification of Remotely Sensed Hyperspectral Images. | 7 | 0.48 | 2016 |
| Machine Learning Meta-Analysis Of Large Metagenomic Datasets: Tools And Biological Insights | 2 | 0.66 | 2016 |
| Multimetric Active Learning for Classification of Remote Sensing Data. | 2 | 0.36 | 2016 |
| An Active Learning Framework for Hyperspectral Image Classification Using Hierarchical Segmentation. | 4 | 0.41 | 2016 |
| Genetic algorithm-based method for mitigating label noise issue in ECG signal classification. | 9 | 0.47 | 2015 |
| Ensemble Multiple Kernel Active Learning For Classification of Multisource Remote Sensing Data | 17 | 0.56 | 2015 |
| Combining active and metric learning for hyperspectral image classification | 0 | 0.34 | 2014 |
| Incorporating edge information into best merge region-growing segmentation | 1 | 0.35 | 2014 |
| A Framework for Land Cover Classification Using Discrete Return LiDAR Data: Adopting Pseudo-Waveform and Hierarchical Segmentation | 8 | 0.55 | 2014 |
| Large-Scale Image Classification Using Active Learning. | 6 | 0.46 | 2014 |
| SVM Active Learning Approach for Image Classification Using Spatial Information | 42 | 1.40 | 2014 |
| An approach for classifying large scale images. | 2 | 0.36 | 2012 |
| Active Learning Methods for Biophysical Parameter Estimation. | 12 | 0.56 | 2012 |
| SVR active learning for product quality control | 2 | 0.40 | 2012 |
| Improving active learning methods using spatial information | 5 | 0.48 | 2011 |
| Support Vector Machine Active Learning Through Significance Space Construction | 30 | 1.20 | 2011 |
| Gaussian process regression within an active learning scheme | 4 | 0.59 | 2011 |
| Active learning methods for electrocardiographic signal classification. | 26 | 1.02 | 2010 |
| Model-based active learning for SVM classification of remote sensing images | 2 | 0.40 | 2010 |
| Gaussian Process Approach to Buried Object Size Estimation in GPR Images | 1 | 0.35 | 2010 |
| Clustering of Hyperspectral Images Based on Multiobjective Particle Swarm Optimization | 56 | 1.67 | 2009 |
| Automatic Analysis of GPR Images: A Pattern-Recognition Approach | 42 | 2.71 | 2009 |
| Swarm Intelligence for Unsupervised Classification of Hyperspectral Images | 1 | 0.35 | 2009 |
| Automatic Detection and Classification of Buried Objects in GPR Images Using Genetic Algorithms and Support Vector Machines | 4 | 0.56 | 2008 |
