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: 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 complete end-to-end AI/ML + NLP + GenAI system that automates recruitment through intelligent resume parsing, candidate-job matching, scoring, and a interactive web interface. mini_project/ ├── app/ ...

Abstract: The demand for remote biometric technologies to monitor drowsiness levels is expected to increase in the future of autonomous driving. Facial skin is constantly exposed to the outside world ...

This repository is a replication-focused adaptation of the EMNLP 2023 model for multimodal aphasia type detection, configured for a custom AphasiaBank-derived corpus.