A new study published in Scientific Reports has introduced a promising diagnostic tool that could dramatically shorten the long wait times many families face when seeking evaluations for autism and ...

Recently, contrastive learning (CL) has shown excellent performance in the hyperspectral image (HSI) classification. However, existing CL-based methods face two specific challenges: 1) multiview ...

Considering that the chemical reaction space can be hierarchically organized and the classification labels are freely accessible, we propose a framework called knowledge-induced hierarchical ...

Everyone learns languages differently. Here’s what to think about when looking for a language learning app — and which apps you should try first.

The framework, Information-Contrastive Learning (I-Con), connects diverse machine learning (ML) methods, offering researchers a structured system for innovation.

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help scientists ...

She noticed similarities between clustering and contrastive learning, another machine-learning method. As she explored the math behind both, she realized they could be explained using the same ...

Self-supervised learning (SSL) offers an alternative for training machine learning models without data-labels. Methods: We investigated if the SSL models can be applied to distinguish between ...

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

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