21 citations · 22 across the 6 of their papers we have counts for
6 papers
XAI-BayesHAR: A novel Framework for Human Activity Recognition with Integrated Uncertainty and Shapely Values
Anand Dubey, Niall Lyons, Avik Santra +1
Human activity recognition (HAR) using IMU sensors, namely accelerometer and gyroscope, has several applications in smart homes, healthcare and human-machine interface systems. In…
Uncertainty-based Meta-Reinforcement Learning for Robust Radar Tracking
Julius Ott, Lorenzo Servadei, Gianfranco Mauro +3
Nowadays, Deep Learning (DL) methods often overcome the limitations of traditional signal processing approaches. Nevertheless, DL methods are barely applied in real-life applicatio…
Utilizing Explainable AI for improving the Performance of Neural Networks
Huawei Sun, Lorenzo Servadei, Hao Feng +3
Nowadays, deep neural networks are widely used in a variety of fields that have a direct impact on society. Although those models typically show outstanding performance, they have…
Cross-modal Learning of Graph Representations using Radar Point Cloud for Long-Range Gesture Recognition
Souvik Hazra, Hao Feng, Gamze Naz Kiprit +5
Gesture recognition is one of the most intuitive ways of interaction and has gathered particular attention for human computer interaction. Radar sensors possess multiple intrinsic…
A Matched-filter based method in the Synthetic Aperture Radar Images Using FMCW radar
Moein Movafagh, Avik Santra, Daniel Oloumi
The stretch processing architecture is commonly used for frequency modulated continuous wave (FMCW) radar due to its inexpensive hardware, low sampling rate, and simple architectur…
COVIDLite: A depth-wise separable deep neural network with white balance and CLAHE for detection of COVID-19
Manu Siddhartha, Avik Santra
Background and Objective:Currently, the whole world is facing a pandemic disease, novel Coronavirus also known as COVID-19, which spread in more than 200 countries with around 3.3…