Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

Are you passionate about cutting-edge research that bridges the digital and physical worlds? The School of Internet of Things at XJTLU is seeking talented researchers to join our innovative project on ...

Companies and researchers can use aggregated, anonymized LinkedIn data to spot trends in the job market. This means looking ...

Abstract: The analysis of transaction data is often impeded by challenges such as noise, inconsistencies, high dimensionality, and missing values, which obscure valuable insights. Existing ...

Abstract: Data preprocessing is crucial in side-channel analysis (SCA) to handle high-dimensional traces containing noise and redundancy. While traditional methods like Principal Component Analysis ...

A large amount of time and resources have been invested in making Python the most suitable first programming language for those getting started with data science. Along with the simplicity of learning ...