6 citations · 6 across the 2 of their papers we have counts for
3 papers
Deep representation of EEG data from Spatio-Spectral Feature Images
Nikesh Bajaj, Jesús Requena Carrión, Francesco Bellotti
Unlike conventional data such as natural images, audio and speech, raw multi-channel Electroencephalogram (EEG) data are difficult to interpret. Modern deep neural networks have sh…
PhyAAt: Physiology of Auditory Attention to Speech Dataset
Nikesh Bajaj, Jesús Requena Carrión, Francesco Bellotti
Auditory attention to natural speech is a complex brain process. Its quantification from physiological signals can be valuable to improving and widening the range of applications o…
Fraud detection in telephone conversations for financial services using linguistic features
Nikesh Bajaj, Tracy Goodluck Constance, Marvin Rajwadi +6
Detecting the elements of deception in a conversation is one of the most challenging problems for the AI community. It becomes even more difficult to design a transparent system, w…