Ljubisa Stankovic

ORCID

Publication Activity (10 Years)

Years Active: 1993-2024
Publications (10 Years): 88

Top Venues

CoRR

Signal Process.

ICASSP

Digit. Signal Process.

Publications

Zhenpeng Feng, Hongbing Ji, Milos Dakovic, Xiyang Cui, Mingzhe Zhu, Ljubisa Stankovic
Cluster-CAM: Cluster-weighted visual interpretation of CNNs' decision in image classification. Neural Networks 178 (2024)
Harry J. Davies, Ghena Hammour, Marek Zylinski, Amir Nassibi, Ljubisa Stankovic, Danilo P. Mandic
The Deep-Match Framework: R-Peak Detection in Ear-ECG. IEEE Trans. Biomed. Eng. 71 (7) (2024)
Ali Bagheri Bardi, Taher Yazdanpanah, Milos Dakovic, Ljubisa Stankovic
Graph Fourier Transform Enhancement through Envelope Extensions. CoRR (2024)
Qingchen Wang, Zhe Li, Zdenka Babic, Wei Deng, Ljubisa Stankovic, Danilo P. Mandic
Widely Linear Matched Filter: A Lynchpin towards the Interpretability of Complex-valued CNNs. CoRR (2024)
Ali Bagheri Bardi, Milos Dakovic, Taher Yazdanpanah, Ljubisa Stankovic
Eigenvalues of symmetric non-normalized discrete trigonometric transforms. Signal Process. 218 (2024)
Xuran Hu, Mingzhe Zhu, Yuanjing Liu, Zhenpeng Feng, Ljubisa Stankovic
Manifold-based Shapley for SAR Recognization Network Explanation. CoRR (2024)
Ali Bagheri Bardi, Milos Dakovic, Taher Yazdanpanah, Fatemeh Zarei, Ljubisa Stankovic
The Schur decomposition of discrete Sine and Cosine transformations of type IV. Digit. Signal Process. 144 (2024)
Mingzhe Zhu, Xuran Hu, Zhenpeng Feng, Ljubisa Stankovic
Unveiling SAR target recognition networks: Adaptive Perturbation Interpretation for enhanced understanding. Neurocomputing 600 (2024)
Fatemeh Zarei, Ali Bagheri Bardi, Taher Yazdanpanah, Milos Dakovic, Milos Brajovic, Ljubisa Stankovic
A robust eigenbasis generation system for the discrete Fourier transform. Digit. Signal Process. 155 (2024)
Xuran Hu, Ziqiang Xu, Zhihan Chen, Zhengpeng Feng, Mingzhe Zhu, Ljubisa Stankovic
SAR Despeckling via Regional Denoising Diffusion Probabilistic Model. CoRR (2024)
Ljubisa Stankovic, Milos Dakovic, Ali Bagheri Bardi, Milos Brajovic, Isidora Stankovic
Fourier Analysis of Signals on Directed Acyclic Graphs (DAG) Using Graph Zero-Padding. CoRR (2023)
Bruno Scalzo, Ljubisa Stankovic, Milos Dakovic, Anthony G. Constantinides, Danilo P. Mandic
A class of doubly stochastic shift operators for random graph signals and their boundedness. Neural Networks 158 (2023)
Ljubisa Stankovic, Danilo P. Mandic
Understanding the Basis of Graph Convolutional Neural Networks via an Intuitive Matched Filtering Approach [Lecture Notes]. IEEE Signal Process. Mag. 40 (2) (2023)
Arie N. Arya, Yao Lei Xu, Ljubisa Stankovic, Danilo P. Mandic
Hierarchical Graph Learning for Stock Market Prediction Via a Domain-Aware Graph Pooling Operator. ICASSP (2023)
Ljubisa Stankovic, Danilo P. Mandic
Convolutional Neural Networks Demystified: A Matched Filtering Perspective-Based Tutorial. IEEE Trans. Syst. Man Cybern. Syst. 53 (6) (2023)
Zhenpeng Feng, Xiyang Cui, Hongbing Ji, Mingzhe Zhu, Ljubisa Stankovic
VS-CAM: Vertex Semantic Class Activation Mapping to Interpret Vision Graph Neural Network. Neurocomputing 533 (2023)
Zhenpeng Feng, Milos Dakovic, Hongbing Ji, Xianda Zhou, Mingzhe Zhu, Xiyang Cui, Ljubisa Stankovic
Interpretation of Latent Codes in InfoGAN with SAR Images. Remote. Sens. 15 (5) (2023)
Zhenpeng Feng, Hongbing Ji, Milos Dakovic, Xiyang Cui, Mingzhe Zhu, Ljubisa Stankovic
Cluster-CAM: Cluster-Weighted Visual Interpretation of CNNs' Decision in Image Classification. CoRR (2023)
Zhenpeng Feng, Hongbing Ji, Milos Dakovic, Mingzhe Zhu, Ljubisa Stankovic
Analytical interpretation of the gap of CNN's cognition between SAR and optical target recognition. Neural Networks 165 (2023)
Alexander Jenkins, Imad Jaimoukha, Ljubisa Stankovic, Danilo P. Mandic
Fair and skill-diverse student group formation via constrained k-way graph partitioning. CoRR (2023)
Alvaro Arroyo, Bruno Scalzo, Ljubisa Stankovic, Danilo P. Mandic
Dynamic Portfolio Cuts: A Spectral Approach to Graph-Theoretic Diversification. ICASSP (2022)
Zhenpeng Feng, Xiyang Cui, Hongbing Ji, Mingzhe Zhu, Ljubisa Stankovic
VS-CAM: Vertex Semantic Class Activation Mapping to Interpret Vision Graph Neural Network. CoRR (2022)
Shengxi Li, Xinyi Zhao, Ljubisa Stankovic, Danilo P. Mandic
Demystifying CNNs for Images by Matched Filters. CoRR (2022)
Mingzhe Zhu, Zhenpeng Feng, Ljubisa Stankovic, Linlin Ding, Jingyuan Fan, Xianda Zhou
A probe-feature for specific emitter identification using axiom-based grad-CAM. Signal Process. 201 (2022)
Huang Bai, Ljubisa Stankovic, Xiumei Li
Construction of unit norm tight frames inspired by the Paulsen problem. Digit. Signal Process. 127 (2022)
Zhenpeng Feng, Milos Dakovic, Hongbing Ji, Mingzhe Zhu, Ljubisa Stankovic
Analytical Interpretation of Latent Codes in InfoGAN with SAR Images. CoRR (2022)
Isidora Stankovic, Milos Brajovic, Jonatan Lerga, Milos Dakovic, Ljubisa Stankovic
Image denoising using RANSAC and compressive sensing. Multim. Tools Appl. 81 (30) (2022)
Yao Lei Xu, Kriton Konstantinidis, Shengxi Li, Ljubisa Stankovic, Danilo P. Mandic
Low-Complexity Attention Modelling via Graph Tensor Networks. ICASSP (2022)
Ljubisa Stankovic
On the sparsity bound for the existence of a unique solution in compressive sensing by the Gershgorin theorem. Signal Process. 190 (2022)
Milos Brajovic, Isidora Stankovic, Milos Dakovic, Ljubisa Stankovic
The DCT domain sparsity-assisted detection and recovery of impulsively disturbed samples. Multim. Tools Appl. 80 (4) (2021)
Ljubisa Stankovic, Milos Brajovic, Isidora Stankovic, Jonatan Lerga, Milos Dakovic
RANSAC-Based Signal Denoising Using Compressive Sensing. Circuits Syst. Signal Process. 40 (8) (2021)
Zhenpeng Feng, Mingzhe Zhu, Ljubisa Stankovic, Hongbing Ji
Self-Matching CAM: A Novel Accurate Visual Explanation of CNNs for SAR Image Interpretation. Remote. Sens. 13 (9) (2021)
Ljubisa Stankovic
On the Sparsity Bound for the Existence of a Unique Solution in Compressive Sensing by the Gershgorin Theorem. CoRR (2021)
Ljubisa Stankovic, Milos Brajovic, Danilo P. Mandic, Isidora Stankovic, Milos Dakovic
Improved Coherence Index-Based Bound in Compressive Sensing. IEEE Signal Process. Lett. 28 (2021)
Bruno Scalzo, Alvaro Arroyo, Ljubisa Stankovic, Danilo P. Mandic
Nonstationary Portfolios: Diversification in the Spectral Domain. ICASSP (2021)
Zhenpeng Feng, Hongbing Ji, Ljubisa Stankovic, Jingyuan Fan, Mingzhe Zhu
SC-SM CAM: An Efficient Visual Interpretation of CNN for SAR Images Target Recognition. Remote. Sens. 13 (20) (2021)
Ljubisa Stankovic, Milos Brajovic, Isidora Stankovic, Cornel Ioana, Milos Dakovic
Reconstruction Error in Nonuniformly Sampled Approximately Sparse Signals. IEEE Geosci. Remote. Sens. Lett. 18 (1) (2021)
Ljubisa Stankovic, Danilo P. Mandic
Understanding the Basis of Graph Convolutional Neural Networks via an Intuitive Matched Filtering Approach. CoRR (2021)
Alen Salkanovic, Sandi Ljubic, Ljubisa Stankovic, Jonatan Lerga
Analysis of Cryptography Algorithms Implemented in Android Mobile Application. Inf. Technol. Control. 50 (4) (2021)
Ljubisa Stankovic, Milos Brajovic, Danilo P. Mandic, Isidora Stankovic, Milos Dakovic
Improved Coherence Index-Based Bound in Compressive Sensing. CoRR (2021)
Ljubisa Stankovic, Danilo P. Mandic
Convolutional Neural Networks Demystified: A Matched Filtering Perspective Based Tutorial. CoRR (2021)
Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic, Milos Brajovic, Bruno Scalzo, Shengxi Li, Anthony G. Constantinides
Graph Signal Processing - Part III: Machine Learning on Graphs, from Graph Topology to Applications. CoRR (2020)
Milos Brajovic, Ljubisa Stankovic, Milos Dakovic
Decomposition of multichannel multicomponent nonstationary signals by combining the eigenvectors of autocorrelation matrix using genetic algorithm. Digit. Signal Process. 102 (2020)
Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic, Milos Brajovic, Bruno Scalzo, Shengxi Li, Anthony G. Constantinides
Data Analytics on Graphs Part I: Graphs and Spectra on Graphs. Found. Trends Mach. Learn. 13 (1) (2020)
Ljubisa Stankovic, Milos Dakovic, Danilo P. Mandic, Milos Brajovic, Bruno Scalzo Dees, Anthony G. Constantinides
A Low-Dimensionality Method for Data-Driven Graph Learning. ICASSP (2020)
Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic, Ilya Kisil
Demystifying the Coherence Index in Compressive Sensing [Lecture Notes]. IEEE Signal Process. Mag. 37 (1) (2020)
Ljubisa Stankovic, Milos Brajovic, Isidora Stankovic, Jonatan Lerga, Milos Dakovic
RANSAC-Based Signal Denoising Using Compressive Sensing. CoRR (2020)
Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic, Bruno Scalzo, Milos Brajovic, Ervin Sejdic, Anthony G. Constantinides
Vertex-frequency graph signal processing: A comprehensive review. Digit. Signal Process. 107 (2020)
Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic, Milos Brajovic, Bruno Scalzo, Shengxi Li, Anthony G. Constantinides
Data Analytics on Graphs Part III: Machine Learning on Graphs, from Graph Topology to Applications. Found. Trends Mach. Learn. 13 (4) (2020)
Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic, Milos Brajovic, Bruno Scalzo, Shengxi Li, Anthony G. Constantinides
Data Analytics on Graphs Part II: Signals on Graphs. Found. Trends Mach. Learn. 13 (2-3) (2020)
Bruno Scalzo Dees, Ljubisa Stankovic, Anthony G. Constantinides, Danilo P. Mandic
Portfolio Cuts: A Graph-Theoretic Framework to Diversification. ICASSP (2020)
Ljubisa Stankovic
The Support Uncertainty Principle and the Graph Rihaczek Distribution: Revisited and Improved. IEEE Signal Process. Lett. 27 (2020)
Isidora Stankovic, Milos Brajovic, Milos Dakovic, Ljubisa Stankovic, Cornel Ioana
Quantization Effect in Nonuniform Nonsparse Signal Reconstruction. MECO (2020)
Ljubisa Stankovic
The Support Uncertainty Principle and the Graph Rihaczek Distribution: Revisited and Improved. CoRR (2020)
Ljubisa Stankovic, Milos Brajovic, Milos Dakovic, Danilo P. Mandic
On the decomposition of multichannel nonstationary multicomponent signals. Signal Process. 167 (2020)
Isidora Stankovic, Milos Brajovic, Milos Dakovic, Cornel Ioana, Ljubisa Stankovic
Bit-depth quantization and reconstruction error in digital images. Signal Image Video Process. 14 (8) (2020)
Isidora Stankovic, Milos Brajovic, Milos Dakovic, Cornel Ioana, Ljubisa Stankovic
Quantization in Compressive Sensing: A Signal Processing Approach. IEEE Access 8 (2020)
Milos Brajovic, Isidora Stankovic, Ljubisa Stankovic, Milos Dakovic
Decomposition of Two-Component Multivariate Signals with Overlapped Domains of Support. ISPA (2019)
Ljubisa Stankovic, Milos Dakovic
Compressive Sensing Inspired Multivariate Median. Circuits Syst. Signal Process. 38 (5) (2019)
Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic, Ilya Kisil
An Intuitive Derivation of the Coherence Index Relation in Compressive Sensing. CoRR (2019)
Ljubisa Stankovic, Ervin Sejdic, Srdjan Stankovic, Milos Dakovic, Irena Orovic
A Tutorial on Sparse Signal Reconstruction and Its Applications in Signal Processing. Circuits Syst. Signal Process. 38 (3) (2019)
Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic, Bruno Scalzo, Milos Brajovic, Ervin Sejdic, Anthony G. Constantinides
Vertex-Frequency Graph Signal Processing. CoRR (2019)
Isidora Stankovic, Milos Brajovic, Milos Dakovic, Cornel Ioana, Ljubisa Stankovic
Quantization in Compressive Sensing: A Signal Processing Approach. CoRR (2019)
Bruno Scalzo Dees, Ljubisa Stankovic, Milos Dakovic, Anthony G. Constantinides, Danilo P. Mandic
A Unifying Analysis of Shift Operators on a Graph. CoRR (2019)
Bruno Scalzo Dees, Ljubisa Stankovic, Milos Dakovic, Anthony G. Constantinides, Danilo P. Mandic
Unitary Shift Operators on a Graph. CoRR (2019)
Isidora Stankovic, Cornel Ioana, Milos Brajovic, Milos Dakovic, Ljubisa Stankovic
Time-Varying Cross-Range in Wideband Sonar Imaging. ISPA (2019)
Ljubisa Stankovic, Milos Brajovic, Milos Dakovic, Danilo P. Mandic
On the Decomposition of Multivariate Nonstationary Multicomponent Signals. CoRR (2019)
Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic, Milos Brajovic, Bruno Scalzo Dees, Tony Constantinides
Graph Signal Processing - Part I: Graphs, Graph Spectra, and Spectral Clustering. CoRR (2019)
Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic, Milos Brajovic, Bruno Scalzo, Anthony G. Constantinides
Graph Signal Processing - Part II: Processing and Analyzing Signals on Graphs. CoRR (2019)
Bruno Scalzo Dees, Ljubisa Stankovic, Anthony G. Constantinides, Danilo P. Mandic
Portfolio Cuts: A Graph-Theoretic Framework to Diversification. CoRR (2019)
Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic, Ilia Kisil, Ervin Sejdic, Anthony G. Constantinides
Understanding the Basis of Graph Signal Processing via an Intuitive Example-Driven Approach [Lecture Notes]. IEEE Signal Process. Mag. 36 (6) (2019)
Ljubisa Stankovic, Milos Brajovic
Analysis of the Reconstruction of Sparse Signals in the DCT Domain Applied to Audio Signals. IEEE ACM Trans. Audio Speech Lang. Process. 26 (7) (2018)
Ljubisa Stankovic, Ervin Sejdic, Milos Dakovic
Reduced Interference Vertex-Frequency Distributions. IEEE Signal Process. Lett. 25 (9) (2018)
Ljubisa Stankovic, Ervin Sejdic, Milos Dakovic
Vertex-Frequency Energy Distributions. IEEE Signal Process. Lett. 25 (3) (2018)
Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic, Milos Brajovic
Time-frequency decomposition of multivariate multicomponent signals. Signal Process. 142 (2018)
Milos Brajovic, Ljubisa Stankovic, Milos Dakovic, Danilo P. Mandic
Additive noise influence on the bivariate two-component signal decomposition. MECO (2018)
Srdjan Stankovic, Irena Orovic, Ljubisa Stankovic
Polynomial Fourier domain as a domain of signal sparsity. Signal Process. 130 (2017)
Milos Dakovic, Isidora Stankovic, Milos Brajovic, Ljubisa Stankovic
Sparse signal reconstruction based on random search procedure. MIPRO (2017)
Srdjan Stankovic, Stefan Vujovic, Irena Orovic, Milos Dakovic, Ljubisa Stankovic
Combination of gradient based and single iteration reconstruction algorithms for sparse signals. EUROCON (2017)
Milos Dakovic, Ljubisa Stankovic, Budimir Lutovac, Isidora Stankovic
On the fixed-point rounding in the DFT. EUROCON (2017)
Ljubisa Stankovic, Milos Brajovic, Milos Dakovic, Danilo P. Mandic
Two-component bivariate signal decomposition based on time-frequency analysis. DSP (2017)
Ljubisa Stankovic, Milos Dakovic, Srdjan Stankovic, Irena Orovic
Conditions for Unique Reconstruction of Sparse Signals Using Compressive Sensing Methods. CoRR (2017)
Milos Dakovic, Ljubisa Stankovic, Budimir Lutovac, Ervin Sejdic, Tomislav B. Sekara
A resistive circuits analysis using graph spectral decomposition. MECO (2017)
Milos Dakovic, Ljubisa Stankovic, Ervin Sejdic
Windowing methods for graph signal localization. DSP (2017)
Ljubisa Stankovic, Milos Dakovic, Stefan Vujovic
Reconstruction of Sparse Signals in Impulsive Disturbance Environments. Circuits Syst. Signal Process. 36 (2) (2017)
Milos Brajovic, Milos Dakovic, Ljubisa Stankovic
Convexity of the ℓ1-norm based sparsity measure with respect to the missing samples as variables. MECO (2016)
Ljubisa Stankovic
On the STFT Inversion Redundancy. IEEE Trans. Circuits Syst. II Express Briefs (3) (2016)
Stefan Vujovic, Isidora Stankovic, Milos Dakovic, Ljubisa Stankovic
Comparison of a gradient-based and LASSO (ISTA) algorithm for sparse signal reconstruction. MECO (2016)
Ljubisa Stankovic, Isidora Stankovic
Reconstruction of Sparse and Nonsparse Signals from a Reduced Set of Samples. CoRR (2015)
Ljubisa Stankovic, Milos Dakovic, Thayananthan Thayaparan, Vesna Popovic-Bugarin
Inverse radon transform-based micro-doppler analysis from a reduced set of observations. IEEE Trans. Aerosp. Electron. Syst. 51 (2) (2015)
Alireza Ahrabian, David Looney, Ljubisa Stankovic, Danilo P. Mandic
Synchrosqueezing-based time-frequency analysis of multivariate data. Signal Process. 106 (2015)
Srdjan Stankovic, Ljubisa Stankovic, Irena Orovic
Relationship between the robust statistics theory and sparse compressive sensed signals reconstruction. IET Signal Process. 8 (3) (2014)
Srdjan Stankovic, Irena Orovic, Ljubisa Stankovic
Compressive Sensing of Polynomial Phase Signals. CoRR (2014)
Ljubisa Stankovic, Srdjan Stankovic, Milos Dakovic
From the STFT to the Wigner Distribution [Lecture Notes]. IEEE Signal Process. Mag. 31 (3) (2014)
Ljubisa Stankovic, Milos Dakovic, Stefan Vujovic
Adaptive variable step algorithm for missing samples recovery in sparse signals. IET Signal Process. 8 (3) (2014)
Igor Djurovic, Ljubisa Stankovic
Quasi-maximum-likelihood estimator of polynomial phase signals. IET Signal Process. 8 (4) (2014)
Igor Djurovic, Ljubisa Stankovic, Marko Simeunovic
Robust time-frequency representation based on the signal normalization and concentration measures. Signal Process. 104 (2014)
Ljubisa Stankovic, Igor Djurovic, Srdjan Stankovic, Marko Simeunovic, Slobodan Djukanovic, Milos Dakovic
Instantaneous frequency in time-frequency analysis: Enhanced concepts and performance of estimation algorithms. Digit. Signal Process. 35 (2014)
Ljubisa Stankovic
On the ISAR Image Analysis and Recovery with Unavailable or Heavily Corrupted Data. CoRR (2014)
Srdjan Stankovic, Irena Orovic, Ljubisa Stankovic
An automated signal reconstruction method based on analysis of compressive sensed signals in noisy environment. Signal Process. 104 (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ljubisa Stankovic