Tag: active learning

A five-year, $2 million NSF-funded collaboration led by Binghamton University is bringing evidence-based teaching practices to faculty across the SUNY ...

A new comparative study finds that ensemble classifiers outperform deep learning models for smart contract vulnerability detection, while uncertainty-based active ...

An AI-assisted framework called NeuroFAIR Curator systematically enriches metadata, screens quality, prioritizes samples for review, and boosts FAIR readiness of ...

Researchers at Cranfield University have developed WAAM-ViD, an angle-invariant deep learning pipeline and public benchmark dataset that monitors melt pool ...

A systematic review of 45 studies finds that flipped and blended learning significantly enhance student engagement in science and engineering ...

Researchers have built a self-calibrating, physics-aware active learning workflow that finds well-matched microstrip patch antenna designs across four substrates and ...

A new hybrid reliability method called AK-FOCM combines active learning Kriging with first order control variates to estimate rare failure ...

A quasi-experimental study of second-year dental students found that a blended active-learning model combining flipped materials, problem-based discussion, and microteaching ...

Researchers in Mexico have built an AI pipeline combining SAM2, Florence2 and Stable Diffusion XL to detect and segment cracks ...

Researchers combined Gaussian process machine learning with expert judgment to optimize laser annealing of silicon suboxide battery anodes, achieving near-identical ...