activity
20182022
most citedEEG based Emotion Recognition: A Tutorial and Review

484 citations · 532 across the 5 of their papers we have counts for

collaborators

8 papers

cs.CV20226 cited

An Overview of Violence Detection Techniques: Current Challenges and Future Directions

Nadia Mumtaz, Naveed Ejaz, Shabana Habib +4

The Big Video Data generated in today's smart cities has raised concerns from its purposeful usage perspective, where surveillance cameras, among many others are the most prominent…

eess.SP2022484 cited

EEG based Emotion Recognition: A Tutorial and Review

Xiang Li, Yazhou Zhang, Prayag Tiwari +6

Emotion recognition technology through analyzing the EEG signal is currently an essential concept in Artificial Intelligence and holds great potential in emotional health care, hum…

eess.SP202115 cited

Deep Learning for Depression Recognition with Audiovisual Cues: A Review

Lang He, Mingyue Niu, Prayag Tiwari +9

With the acceleration of the pace of work and life, people have to face more and more pressure, which increases the possibility of suffering from depression. However, many patients…

cs.CL202125 cited

Structural block driven - enhanced convolutional neural representation for relation extraction

Dongsheng Wang, Prayag Tiwari, Sahil Garg +2

In this paper, we propose a novel lightweight relation extraction approach of structural block driven - convolutional neural learning. Specifically, we detect the essential sequent…

quant-ph20202 cited

Kernel Method based on Non-Linear Coherent State

Prayag Tiwari, Shahram Dehdashti, Abdul Karim Obeid +2

In this paper, by mapping datasets to a set of non-linear coherent states, the process of encoding inputs in quantum states as a non-linear feature map is re-interpreted. As a resu…

cs.IR2020

Quantum-like Structure in Multidimensional Relevance Judgements

Sagar Uprety, Prayag Tiwari, Shahram Dehdashti +4

A large number of studies in cognitive science have revealed that probabilistic outcomes of certain human decisions do not agree with the axioms of classical probability theory. Th…