11 citations · 56 across the 19 of their papers we have counts for
22 papers
Perturbation on Feature Coalition: Towards Interpretable Deep Neural Networks
Xuran Hu, Mingzhe Zhu, Zhenpeng Feng +2
The inherent "black box" nature of deep neural networks (DNNs) compromises their transparency and reliability. Recently, explainable AI (XAI) has garnered increasing attention from…
Graph Fourier Transform Enhancement through Envelope Extensions
Ali Bagheri Bardi, Taher Yazdanpanah, Milos Dakovic +1
Many real-world networks are characterized by directionality; however, the absence of an appropriate Fourier basis hinders the effective implementation of graph signal processing t…
Fourier Analysis of Signals on Directed Acyclic Graphs (DAG) Using Graph Zero-Padding
Ljubisa Stankovic, Milos Dakovic, Ali Bagheri Bardi +2
Directed acyclic graphs (DAGs) are used for modeling causal relationships, dependencies, and flows in various systems. However, spectral analysis becomes impractical in this settin…
Eigenvalues of Symmetric Non-normalized Discrete Trigonometric Transforms
Ali Bagheri Bardi, Milos Dakovic, Taher Yazdanpanah +1
A comprehensive approach to the spectrum characterization (derivation of eigenvalues and the corresponding multiplicities) for non-normalized, symmetric discrete trigonometric tran…
Cluster-CAM: Cluster-Weighted Visual Interpretation of CNNs' Decision in Image Classification
Zhenpeng Feng, Hongbing Ji, Milos Dakovic +3
Despite the tremendous success of convolutional neural networks (CNNs) in computer vision, the mechanism of CNNs still lacks clear interpretation. Currently, class activation mappi…
Distance and Position Estimation in Visible Light Systems with RGB LEDs
Ilker Demirel, Sinan Gezici
In this manuscript, distance and position estimation problems are investigated for visible light positioning (VLP) systems with red-green-blue (RGB) light emitting diodes (LEDs). T…