Abstract: Hyperspectral image (HSI) classification faces persistent challenges arising from high spectral dimensionality, complex spatial-spectral dependencies, and limited labeled samples. Although ...
ABSTRACT: Automatic detection of cognitive distortions from short written text could support large-scale mental-health screening and digital cognitive-behavioural therapy (CBT). Many recent approaches ...
The South Dakota High School Activities Association (SDHSAA) discussed a new model for classifying teams at its Board of Directors meeting on Jan. 21, but Executive Director Dan Swartos said the new ...
Enterprises, eager to ensure any AI models they use adhere to safety and safe-use policies, fine-tune LLMs so they do not respond to unwanted queries. However, much of the safeguarding and red teaming ...
In microbiome studies, addressing the unique characteristics of sequence data—such as compositionality, zero inflation, overdispersion, high dimensionality, and non-normality—is crucial for accurate ...
Abstract: Generative modeling, representation learning, and classification are three core problems in machine learning (ML), yet their state-of-the-art (SoTA) solutions remain largely disjoint. In ...
Abstract: With the advent of cloud computing, traditional machine learning (ML) are migrating into cloud-based ML day by day following the concept of machine learning as a cloud service, which enables ...
1 Department of Mathematics, Meru University of Science & Technology (MUST), Meru, Kenya. 2 Department of Mathematics, Pan African University Institute of Basic Sciences Technology and Innovations ...
The actively maintained SLiCEs codebase now lives at datasig-ac-uk/SLiCEs. For new projects, this is the recommended repository. Compared to this repository, the new codebase is designed as a ...
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