Machine learning is an integral part of high stakes decision making in a broad swath of human-computer interactions. You apply for a job. You submit a loan application. Algorithms determine who ...

How can digital tools bridge health care gaps in developing regions, enabling rapid scaling of early dementia screening, and ...

Ground-breaking, GPU-free machine learning now installs in minutes on Ubuntu, Red Hat Enterprise Linux, and Fedora, complete ...

By introducing a novel top-k queue-based contrastive learning strategy, the framework significantly improves the model’s accuracy in distinguishing challenging positive and negative samples and its ...

Keywords: contrastive learning, self-supervised learning, neurodegenerative disorders, deep learning, structural magnetic resonance imaging, Alzheimer's disease, frontotemporal lobar degeneration ...

Morphological profiling has recently demonstrated remarkable potential for identifying the biological activities of small molecules. Alongside the fully supervised and self-supervised machine learning ...

Keywords: active learning, contrastive learning, clustering, semi-supervised learning, human-in-the-loop Citation: Roda H and Geva AB (2024) Semi-supervised active learning using convolutional ...

First, to bridge the gap when applying contrastive learning to intrusion detection data, we proposed a heuristic method to build contrastive tasks based on random masking of network packet sequences, ...