research
∙
11/07/2022
XAI-BayesHAR: A novel Framework for Human Activity Recognition with Integrated Uncertainty and Shapely Values
Human activity recognition (HAR) using IMU sensors, namely accelerometer...
share
research
∙
11/02/2022
XAI-Increment: A Novel Approach Leveraging LIME Explanations for Improved Incremental Learning
Explainability of neural network prediction is essential to understand f...
research
∙
10/26/2022
Uncertainty-based Meta-Reinforcement Learning for Robust Radar Tracking
Nowadays, Deep Learning (DL) methods often overcome the limitations of t...
research
∙
10/24/2022
MEET: A Monte Carlo Exploration-Exploitation Trade-off for Buffer Sampling
Data selection is essential for any data-based optimization technique, s...
research
∙
10/07/2022
Utilizing Explainable AI for improving the Performance of Neural Networks
Nowadays, deep neural networks are widely used in a variety of fields th...
research
∙
03/31/2022
Cross-modal Learning of Graph Representations using Radar Point Cloud for Long-Range Gesture Recognition
Gesture recognition is one of the most intuitive ways of interaction and...
research
∙
10/12/2021
Label-Aware Ranked Loss for robust People Counting using Automotive in-cabin Radar
In this paper, we introduce the Label-Aware Ranked loss, a novel metric ...
research
∙
06/19/2020
