Overcoming the limits of cross-sensitivity: Pattern recognition methods for chemiresistive gas sensor array
As information acquisition terminals for artificial olfaction, chemiresistive gas sensors are
often troubled by their cross-sensitivity, and reducing their cross-response to ambient gases …
often troubled by their cross-sensitivity, and reducing their cross-response to ambient gases …
Machine learning-augmented surface-enhanced spectroscopy toward next-generation molecular diagnostics
The world today is witnessing the significant role and huge demand for molecular detection
and screening in healthcare and medical diagnosis, especially during the outbreak of …
and screening in healthcare and medical diagnosis, especially during the outbreak of …
Manifold transfer subspace learning based on double relaxed discriminative regression
Z Liu, F Zhu, K Zhang, Z Lai, H Huo - Artificial Intelligence Review, 2023 - Springer
By leveraging the labeled data samples of the source domain to learn the unlabeled data
samples of the target domain, unsupervised domain adaptation (DA) has achieved …
samples of the target domain, unsupervised domain adaptation (DA) has achieved …
Large margin distribution multi-class supervised novelty detection
As one of state-of-the-art supervised novelty detection models, support vector machine-
supervised novelty detection (SVM-SND) can recognize whether a test instance is a novelty …
supervised novelty detection (SVM-SND) can recognize whether a test instance is a novelty …
Joint metric learning-based class-specific representation for image set classification
With the rapid advances in digital imaging and communication technologies, recently image
set classification has attracted significant attention and has been widely used in many real …
set classification has attracted significant attention and has been widely used in many real …
[HTML][HTML] Multi-scale Feature Fusion and Transformer Network for urban green space segmentation from high-resolution remote sensing images
Accurate extraction of urban green space is critical for preserving urban ecological balance
and enhancing urban life quality. However, due to the complex urban green space …
and enhancing urban life quality. However, due to the complex urban green space …
Constraint-weighted support vector ordinal regression to resist constraint noises
Ordinal regression (OR) is a crucial in machine learning. Usual assumption is that all
training instances are perfectly denoted. However, when this assumption does not hold, the …
training instances are perfectly denoted. However, when this assumption does not hold, the …
Automatic detection of abnormal eeg signals using wavenet and lstm
Neurological disorders have an extreme impact on global health, affecting an estimated one
billion individuals worldwide. According to the World Health Organization (WHO), these …
billion individuals worldwide. According to the World Health Organization (WHO), these …
Domain adaptive learning based on equilibrium distribution and dynamic subspace approximation
Nowadays, big data analysis has become an important approach in social information
network. However, the social information may not be distributed independently and …
network. However, the social information may not be distributed independently and …
Toward robust discriminative projections learning against adversarial patch attacks
As one of the most popular supervised dimensionality reduction methods, linear discriminant
analysis (LDA) has been widely studied in machine learning community and applied to …
analysis (LDA) has been widely studied in machine learning community and applied to …