A recent report recommends 10 ways to address the growing need for robust security assessments of AI applications.

The artificial intelligence industry faces a fundamental paradox. While machines can now process data at massive scales, the learning remains surprisingly inefficient, facing the challenge of ...

In the multi-modal emotion recognition scenario, Zhu et al. (2020) proposed a sentiment analysis model based on improved ResNet to analyze and improve the accuracy of image emotion classification.

Multi-label text classification (MLTC) assigns multiple relevant labels to a text. While deep learning models have achieved state-of-the-art results in this area, they require large amounts of labeled ...

Accurate and automated sound classification enables a strong groundwork for diverse advanced deep learning applications within the audio and music domain. This study focuses on the application of ...

In this paper, we use BigEarthNet-MM (Sumbul et al., 2021) dataset for both self-supervised training and classification task evaluation, which is the most common multi-label scene classification ...