Many ML-based approaches have been proposed to automatically detect,
loc...
Deep learning (DL) models have become increasingly popular in identifyin...
International maritime crime is becoming increasingly sophisticated, oft...
Incorporating auxiliary modalities such as images into event detection m...
In the context of mobile sensing environments, various sensors on mobile...
Model architectures such as wav2vec 2.0 and HuBERT have been proposed to...
Interpretable machine learning seeks to understand the reasoning process...
Software vulnerabilities existing in a program or function of computer
s...
Software vulnerabilities (SVs) have become a common, serious and crucial...
Interpretable machine learning offers insights into what factors drive a...
There has been an increasing interest in incorporating Artificial
Intell...
Identifying vulnerabilities in the source code is essential to protect t...
Self-supervised learning methods such as wav2vec 2.0 have shown promisin...
We focus on the realistic maximization of the uplink minimum
signal-to-i...
We introduce the asprilo [1] framework to facilitate experimental studie...