4 papers
Structured Visual Target Learning For Cross-Subject eeg-to-image retrieval
Salini Yadav, Taveena Lotey, Mickaël Coustaty +2
Cross-subject EEG-to-image retrieval requires a neural represen- tation trained on source subjects to remain aligned with a visual embedding space for an unseen subject. Whereas ex…
What Does the Brain See? Multiview Neural Representations to Demystify the Brain-Visual Alignment
Salini Yadav, Taveena Lotey, Pravendra Singh +1
Zero-shot visual decoding from electroencephalography (EEG) aims to infer visual semantics from non-invasive neural recordings, but remains challenging due to the low signal-to-noi…
HeartBeatAI: An Interpretable and Robust Deep Learning Framework for Multi-Label ECG Arrhythmia Detection
Shubham Gupta, Nikhil Panwar, Partha Pratim Roy
While Deep Learning (DL) enhances automated electrocardiogram (ECG) analysis, clinical deployment is hindered by class imbalance and the generalization gap. This paper presents Hea…
EEG-Based Mental Imagery Task Adaptation via Ensemble of Weight-Decomposed Low-Rank Adapters
Taveena Lotey, Aman Verma, Partha Pratim Roy
Electroencephalography (EEG) is widely researched for neural decoding in Brain Computer Interfaces (BCIs) as it is non-invasive, portable, and economical. However, EEG signals suff…