5 citations · 9 across the 8 of their papers we have counts for
8 papers
Widely Linear Matched Filter: A Lynchpin towards the Interpretability of Complex-valued CNNs
Qingchen Wang, Zhe Li, Zdenka Babic +3
A recent study on the interpretability of real-valued convolutional neural networks (CNNs) {Stankovic_Mandic_2023CNN} has revealed a direct and physically meaningful link with the…
Manifold-based Shapley for SAR Recognization Network Explanation
Xuran Hu, Mingzhe Zhu, Yuanjing Liu +2
Explainable artificial intelligence (XAI) holds immense significance in enhancing the deep neural network's transparency and credibility, particularly in some risky and high-cost s…
SAR Despeckling via Regional Denoising Diffusion Probabilistic Model
Xuran Hu, Ziqiang Xu, Zhihan Chen +3
Speckle noise poses a significant challenge in maintaining the quality of synthetic aperture radar (SAR) images, so SAR despeckling techniques have drawn increasing attention. Desp…
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…
Fair and skill-diverse student group formation via constrained k-way graph partitioning
Alexander Jenkins, Imad Jaimoukha, Ljubisa Stankovic +1
Forming the right combination of students in a group promises to enable a powerful and effective environment for learning and collaboration. However, defining a group of students i…