most citedMultimodal Stress Detection Using Facial Landmarks and Biometric Signals

4 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV20234 cited

Multimodal Stress Detection Using Facial Landmarks and Biometric Signals

Majid Hosseini, Morteza Bodaghi, Ravi Teja Bhupatiraju +2

The development of various sensing technologies is improving measurements of stress and the well-being of individuals. Although progress has been made with single signal modalities…

cs.LG2023

LiteLSTM Architecture Based on Weights Sharing for Recurrent Neural Networks

Nelly Elsayed, Zag ElSayed, Anthony S. Maida

Long short-term memory (LSTM) is one of the robust recurrent neural network architectures for learning sequential data. However, it requires considerable computational power to lea…

cs.CV20231 cited

Deep Axial Hypercomplex Networks

Nazmul Shahadat, Anthony S. Maida

Over the past decade, deep hypercomplex-inspired networks have enhanced feature extraction for image classification by enabling weight sharing across input channels. Recent works m…

cs.CV2023

Enhancing ResNet Image Classification Performance by using Parameterized Hypercomplex Multiplication

Nazmul Shahadat, Anthony S. Maida

Recently, many deep networks have introduced hypercomplex and related calculations into their architectures. In regard to convolutional networks for classification, these enhanceme…

cs.NE20161 cited

Training a Hidden Markov Model with a Bayesian Spiking Neural Network

Amirhossein Tavanaei, Anthony S Maida

It is of some interest to understand how statistically based mechanisms for signal processing might be integrated with biologically motivated mechanisms such as neural networks. Th…