Abstract: Multi-label classification represented by hierarchical classification (HC) plays an important role in current large-scale problems, which can acquire a more accurate expression of data that ...

Read more about AI-driven air quality system promises faster, more reliable urban health warnings on Devdiscourse ...

Airtable is applying its data-first design philosophy to AI agents with the debut of Superagent on Tuesday. It's a standalone research agent that deploys teams of specialized AI agents working in ...

In this episode, TechCrunch’s editor-in-chief Connie Loizos and StrictlyVC’s Alex Gove sit down with Winston Weinberg, co-founder and CEO of Harvey, the legal AI startup that’s quietly become one of ...

When I first started working with multi-agent collaboration (MAC) systems, they felt like something out of science fiction. It’s a group of autonomous digital entities that negotiate, share context, ...

The brighter the color, the higher the spectral weight. Left panel: weak interaction, γ=0.5; Right panel: moderate interaction, γ=4.0. Since the discovery of the Mott insulator-metal phase transition, ...

I have read the paper and it seemed to be a single-label multi-classification problem. But the code use BCE and sigmoid instead of crossEntropy and softmax. So does it mean that the patient may have ...

I tried applying label smoothing to my multi-label classification problem—given that my dataset is noisy and unbalanced, I thought it might help—but I ran into issue #40258 ...

BERLIN, May 5 (Reuters) - Far-right party Alternative for Germany filed a lawsuit on Monday challenging a decision last week by Germany's domestic intelligence agency to classify the party as an ...