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Few-shot Learning for Efficient and Effective Machine Learning Model Adaptation

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Few-shot Learning for Efficient and Effective Machine Learning Model Adaptation

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Combining Unsupervised Feature Learning and Riesz Wavelets for Histopathology Image Representation: Application to Identifying Anaplastic Medulloblastoma

Semi-supervised and unsupervised kernel-based novelty detection with application to remote sensing images

Semi-Supervised Method for Multi-Category Emotion Recognition in Tweets

Automatic Feature Learning for Spatio-Spectral Image Classification With Sparse SVM

Semi-Supervised Novelty Detection using SVM entire solution path

Non-Linear Domain Adaptation with Boosting

Semi-Supervised and Unsupervised Novelty Detection using Nested Support Vector Machines

Supervised and unsupervised Web-based language model domain adaptation

Supervised and unsupervised Web-based language model domain adaptation

Open-Ended Learning of Visual and Multi-Modal Patterns

Semi-Supervised Method for Multi-Category Emotion Recognition in Tweets

Automatic Feature Learning for Spatio-Spectral Image Classification With Sparse SVM

Combining Unsupervised Feature Learning and Riesz Wavelets for Histopathology Image Representation: Application to Identifying Anaplastic Medulloblastoma

Semi-supervised and unsupervised kernel-based novelty detection with application to remote sensing images

Open-Ended Learning of Visual and Multi-Modal Patterns

Supervised and unsupervised Web-based language model domain adaptation

Semi-Supervised Novelty Detection using SVM entire solution path

Non-Linear Domain Adaptation with Boosting

Semi-Supervised and Unsupervised Novelty Detection using Nested Support Vector Machines

Supervised and unsupervised Web-based language model domain adaptation