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ORCIDDanilo P. Mandic
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- affiliation: Imperial College London, UK
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2020 – today
- 2022
[j204]Hongjian Xiao, Danilo P. Mandic
:
Variational Embedding Multiscale Sample Entropy: A Tool for Complexity Analysis of Multichannel Systems. Entropy 24(1): 26 (2022)- [j203]Ales Procházka, Jindrich Charvát, Oldrich Vysata, Danilo P. Mandic:
Incremental deep learning for reflectivity data recognition in stomatology. Neural Comput. Appl. 34(9): 7081-7089 (2022) - [j202]Xing Zhang, Yili Xia, Chunguo Li, Luxi Yang, Danilo P. Mandic:
A full second-order statistical analysis of strictly linear and widely linear estimators with MSE and Gaussian entropy criteria. Signal Process. 192: 108403 (2022) - [i56]Rohan Tangri, Danilo P. Mandic, Anthony G. Constantinides:
Pearl: Parallel Evolutionary and Reinforcement Learning Library. CoRR abs/2201.09568 (2022) - [i55]Zehua Chen, Xu Tan, Ke Wang, Shifeng Pan, Danilo P. Mandic, Lei He, Sheng Zhao:
InferGrad: Improving Diffusion Models for Vocoder by Considering Inference in Training. CoRR abs/2202.03751 (2022) - 2021
- [j201]Yassin Khalifa, Danilo P. Mandic, Ervin Sejdic:
A review of Hidden Markov models and Recurrent Neural Networks for event detection and localization in biomedical signals. Inf. Fusion 69: 52-72 (2021) - [j200]Dongpo Xu, Shengdong Zhang, Huisheng Zhang, Danilo P. Mandic:
Convergence of the RMSProp deep learning method with penalty for nonconvex optimization. Neural Networks 139: 17-23 (2021) - [j199]Ariel Ruiz-Garcia, Jürgen Schmidhuber, Vasile Palade, Clive Cheong Took, Danilo P. Mandic:
Deep neural network representation and Generative Adversarial Learning. Neural Networks 139: 199-200 (2021) - [j198]Giuseppe Giovanni Calvi, Bruno Scalzo Dees, Danilo P. Mandic:
A lower bound on the tensor rank based on its maximally square matrix unfolding. Signal Process. 180: 107862 (2021) - [j197]Zhe Li, Wei Deng, Zhanyu Zhu, Danilo P. Mandic:
A layer-wise distribution analysis of the WLMMSE-SIC MIMO receiver for rectilinear or quasi-rectilinear signals. Signal Process. 189: 108230 (2021) - [j196]Ljubisa Stankovic, Milos Brajovic, Danilo P. Mandic, Isidora Stankovic, Milos Dakovic:
Improved Coherence Index-Based Bound in Compressive Sensing. IEEE Signal Process. Lett. 28: 1110-1114 (2021) - [j195]Engin Cemal Mengüç, Salim Çinar, Min Xiang, Danilo P. Mandic:
Online Censoring Based Weighted-Frequency Fourier Linear Combiner for Estimation of Pathological Hand Tremors. IEEE Signal Process. Lett. 28: 1460-1464 (2021) - [j194]Mónica F. Bugallo, Anthony G. Constantinides, Danilo P. Mandic, Alan V. Oppenheim, Roberto B. Togneri:
Innovation Starts With Education [From the Guest Editors]. IEEE Signal Process. Mag. 38(3): 11-13 (2021) - [j193]Shengxi Li, Zeyang Yu, Danilo P. Mandic:
A Universal Framework for Learning the Elliptical Mixture Model. IEEE Trans. Neural Networks Learn. Syst. 32(7): 3181-3195 (2021) - [j192]Zhe Li, Rui Pu, Yili Xia, Wenjiang Pei, Danilo P. Mandic:
A Full Second-Order Analysis of the Widely Linear MVDR Beamformer for Noncircular Signals. IEEE Trans. Signal Process. 69: 4257-4268 (2021) - [c209]Ghena Hammour, Danilo P. Mandic:
Hearables: Making Sense from Motion Artefacts in Ear-EEG for Real-Life Human Activity Classification. EMBC 2021: 6889-6893 - [c208]Yao Lei Xu, Danilo P. Mandic:
Recurrent Graph Tensor Networks: A Low-Complexity Framework for Modelling High-Dimensional Multi-Way Sequences. EUSIPCO 2021: 1795-1799 - [c207]Mahmoud Mahfouz, Tucker Balch, Manuela Veloso, Danilo P. Mandic:
Learning to classify and imitate trading agents in continuous double auction markets. ICAIF 2021: 21:1-21:8 - [c206]Kriton Konstantinidis, Shengxi Li, Danilo P. Mandic:
Kernel Learning with Tensor Networks. ICASSP 2021: 2920-2924 - [c205]Jean P. Chereau, Bruno Scalzo, Danilo P. Mandic:
Robust PCA Through Maximum Correntropy Power Iterations. ICASSP 2021: 4985-4989 - [c204]Bruno Scalzo, Alvaro Arroyo, Ljubisa Stankovic, Danilo P. Mandic:
Nonstationary Portfolios: Diversification in the Spectral Domain. ICASSP 2021: 5155-5159 - [c203]Bruno Scalzo Dees, Yao Lei Xu, Anthony G. Constantinides, Danilo P. Mandic:
Graph Theory for Metro Traffic Modelling. IJCNN 2021: 1-5 - [c202]Yao Lei Xu, Giuseppe Giovanni Calvi, Danilo P. Mandic:
Tensor-Train Recurrent Neural Networks for Interpretable Multi-Way Financial Forecasting. IJCNN 2021: 1-5 - [c201]Danilo P. Mandic:
Hearables: From in-ear Recording of Vital Signs and Neural Function to Doctorless Hospitals. MECO 2021: 1 - [i54]Ljubisa Stankovic, Milos Brajovic, Danilo P. Mandic, Isidora Stankovic, Milos Dakovic:
Improved Coherence Index-Based Bound in Compressive Sensing. CoRR abs/2103.06804 (2021) - [i53]Shengxi Li, Danilo P. Mandic:
Von Mises-Fisher Elliptical Distribution. CoRR abs/2103.07948 (2021) - [i52]Yao Lei Xu, Kriton Konstantinidis, Danilo P. Mandic:
Tensor Networks for Multi-Modal Non-Euclidean Data. CoRR abs/2103.14998 (2021) - [i51]Yao Lei Xu, Giuseppe Giovanni Calvi, Danilo P. Mandic:
Tensor-Train Recurrent Neural Networks for Interpretable Multi-Way Financial Forecasting. CoRR abs/2105.04983 (2021) - [i50]Bruno Scalzo Dees, Yao Lei Xu, Anthony G. Constantinides, Danilo P. Mandic:
Graph Theory for Metro Traffic Modelling. CoRR abs/2105.04991 (2021) - [i49]Ljubisa Stankovic, Danilo P. Mandic:
Understanding the Basis of Graph Convolutional Neural Networks via an Intuitive Matched Filtering Approach. CoRR abs/2108.10751 (2021) - [i48]Ljubisa Stankovic, Danilo P. Mandic:
Convolutional Neural Networks Demystified: A Matched Filtering Perspective Based Tutorial. CoRR abs/2108.11663 (2021) - [i47]Ilya Kisil, Giuseppe Giovanni Calvi, Kriton Konstantinidis, Yao Lei Xu, Danilo P. Mandic:
Reducing Computational Complexity of Tensor Contractions via Tensor-Train Networks. CoRR abs/2109.00626 (2021) - [i46]Harry J. Davies, Ghena Hammour, Danilo P. Mandic:
An Apparatus for the Simulation of Breathing Disorders: Physically Meaningful Generation of Surrogate Data. CoRR abs/2109.06699 (2021) - [i45]Mahmoud Mahfouz, Tucker Balch, Manuela Veloso, Danilo P. Mandic:
Learning to Classify and Imitate Trading Agents in Continuous Double Auction Markets. CoRR abs/2110.01325 (2021) - [i44]Ilya Kisil, Giuseppe Giovanni Calvi, Bruno Scalzo Dees, Danilo P. Mandic:
HOTTBOX: Higher Order Tensor ToolBOX. CoRR abs/2111.15662 (2021) - 2020
- [j191]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: 102802 (2020) - [j190]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): 1-157 (2020) - [j189]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): 158-331 (2020) - [j188]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): 332-530 (2020) - [j187]Anh-Huy Phan, Masao Yamagishi, Danilo P. Mandic, Andrzej Cichocki:
Quadratic programming over ellipsoids with applications to constrained linear regression and tensor decomposition. Neural Comput. Appl. 32(11): 7097-7120 (2020) - [j186]Harry J. Davies, Ian Williams, Nicholas S. Peters, Danilo P. Mandic:
In-Ear SpO2: A Tool for Wearable, Unobtrusive Monitoring of Core Blood Oxygen Saturation. Sensors 20(17): 4879 (2020) - [j185]Ljubisa Stankovic, Milos Brajovic, Milos Dakovic, Danilo P. Mandic:
On the decomposition of multichannel nonstationary multicomponent signals. Signal Process. 167 (2020) - [j184]Vinay Chakravarthi Gogineni, Sayed Pouria Talebi, Stefan Werner, Danilo P. Mandic:
Fractional-Order Correntropy Adaptive Filters for Distributed Processing of $\alpha$-Stable Signals. IEEE Signal Process. Lett. 27: 1884-1888 (2020) - [j183]Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic, Ilya Kisil:
Demystifying the Coherence Index in Compressive Sensing [Lecture Notes]. IEEE Signal Process. Mag. 37(1): 152-162 (2020) - [j182]Sayed Pouria Talebi, Stefan Werner, Danilo P. Mandic:
Quaternion-Valued Distributed Filtering and Control. IEEE Trans. Autom. Control. 65(10): 4246-4257 (2020) - [j181]Takashi Nakamura, Yousef D. Alqurashi, Mary J. Morrell, Danilo P. Mandic:
Hearables: Automatic Overnight Sleep Monitoring With Standardized In-Ear EEG Sensor. IEEE Trans. Biomed. Eng. 67(1): 203-212 (2020) - [j180]Xing Zhang, Bruno Scalzo Dees, Chunguo Li, Yili Xia, Luxi Yang, Danilo P. Mandic:
Analysis of Least Stochastic Entropy Adaptive Filters for Noncircular Gaussian Signals. IEEE Trans. Circuits Syst. II Express Briefs 67-II(7): 1364-1368 (2020) - [j179]Vinay Chakravarthi Gogineni, Sayed Pouria Talebi, Stefan Werner, Danilo P. Mandic:
Fractional-Order Correntropy Filters for Tracking Dynamic Systems in α-Stable Environments. IEEE Trans. Circuits Syst. 67-II(12): 3557-3561 (2020) - [j178]Anh-Huy Phan, Andrzej Cichocki, Ivan V. Oseledets, Giuseppe Giovanni Calvi, Salman Ahmadi-Asl, Danilo P. Mandic:
Tensor Networks for Latent Variable Analysis: Higher Order Canonical Polyadic Decomposition. IEEE Trans. Neural Networks Learn. Syst. 31(6): 2174-2188 (2020) - [j177]Anh-Huy Phan, Andrzej Cichocki, André Uschmajew, Petr Tichavský, George Luta, Danilo P. Mandic:
Tensor Networks for Latent Variable Analysis: Novel Algorithms for Tensor Train Approximation. IEEE Trans. Neural Networks Learn. Syst. 31(11): 4622-4636 (2020) - [j176]Min Xiang, Yili Xia, Danilo P. Mandic:
Performance Analysis of Deficient Length Quaternion Least Mean Square Adaptive Filters. IEEE Trans. Signal Process. 68: 65-80 (2020) - [j175]Engin Cemal Mengüç, Nurettin Acir, Danilo P. Mandic:
Widely Linear Quaternion-Valued Least-Mean Kurtosis Algorithm. IEEE Trans. Signal Process. 68: 5914-5922 (2020) - [j174]Xing Zhang, Yili Xia, Chunguo Li, Luxi Yang, Danilo P. Mandic:
Complex Properness Inspired Blind Adaptive Frequency-Dependent I/Q Imbalance Compensation for Wideband Direct-Conversion Receivers. IEEE Trans. Wirel. Commun. 19(9): 5982-5992 (2020) - [c200]Shengxi Li, Zeyang Yu, Min Xiang, Danilo P. Mandic:
Solving General Elliptical Mixture Models through an Approximate Wasserstein Manifold. AAAI 2020: 4658-4666 - [c199]Davide Bacciu, Danilo P. Mandic:
Tensor Decompositions in Deep Learning. ESANN 2020: 441-450 - [c198]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: 5340-5344 - [c197]Bruno Scalzo Dees, Ljubisa Stankovic, Anthony G. Constantinides, Danilo P. Mandic:
Portfolio Cuts: A Graph-Theoretic Framework to Diversification. ICASSP 2020: 8454-8458 - [c196]Zehua Chen, Bruno Scalzo Dees, Danilo P. Mandic:
A Probabilistic Beat-to-Beat Filtering Model for Continuous and Accurate Blood Pressure Estimation. IJCNN 2020: 1-6 - [c195]Shengxi Li, Zeyang Yu, Min Xiang, Danilo P. Mandic:
Reciprocal Adversarial Learning via Characteristic Functions. NeurIPS 2020 - [c194]Zhe Li, Wei Deng, Wenjiang Pei, Yili Xia, Chao Zhu, Danilo P. Mandic:
SINR Analysis Of Mimo Systems With Widely Linear MMSE Receivers For The Reception Of Real-Valued Constellations. PIMRC 2020: 1-5 - [c193]Hao Cheng, Yili Xia, Yongming Huang, Luxi Yang, Zixiang Xiong, Danilo P. Mandic:
Improperness Based SINR Analysis of GFDM Systems Under Joint Tx and Rx I/Q Imbalance. WCNC 2020: 1-6 - [c192]Hao Cheng, Yili Xia, Zhaohua Lu, Yongming Huang, Wenjiang Pei, Luxi Yang, Danilo P. Mandic:
Design of Improper Constellations for Optimal Data Rates in Downlink NOMA Systems. WCSP 2020: 436-441 - [i43]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 abs/2001.00426 (2020) - [i42]Alexandros Haliassos, Kriton Konstantinidis, Danilo P. Mandic:
Supervised Learning for Non-Sequential Data with the Canonical Polyadic Decomposition. CoRR abs/2001.10109 (2020) - [i41]Davide Bacciu, Danilo P. Mandic:
Tensor Decompositions in Deep Learning. CoRR abs/2002.11835 (2020) - [i40]Thiernithi Variddhisaï, Danilo P. Mandic:
Methods of Adaptive Signal Processing on Graphs Using Vertex-Time Autoregressive Models. CoRR abs/2003.05729 (2020) - [i39]Shengxi Li, Zeyang Yu, Min Xiang, Danilo P. Mandic:
Reciprocal Adversarial Learning via Characteristic Functions. CoRR abs/2006.08413 (2020) - [i38]Zhe Li, Rui Pu, Yili Xia, Wenjiang Pei, Danilo P. Mandic:
A Full Second-Order Analysis of the Widely Linear MVDR Beamformer for Noncircular Signals. CoRR abs/2008.04145 (2020) - [i37]Yao Lei Xu, Danilo P. Mandic:
Recurrent Graph Tensor Networks. CoRR abs/2009.08727 (2020) - [i36]Yao Lei Xu, Kriton Konstantinidis, Danilo P. Mandic:
Multi-Graph Tensor Networks. CoRR abs/2010.13209 (2020) - [i35]Yassin Khalifa, Danilo P. Mandic, Ervin Sejdic:
A Review of Hidden Markov Models and Recurrent Neural Networks for Event Detection and Localization in Biomedical Signals. CoRR abs/2012.06104 (2020)
2010 – 2019
- 2019
- [j173]Yili Xia, Bin Zhang, Wenjiang Pei, Danilo P. Mandic:
Bidimensional Multivariate Empirical Mode Decomposition With Applications in Multi-Scale Image Fusion. IEEE Access 7: 114261-114270 (2019) - [j172]Sofie Therese Hansen, Apit Hemakom, Mads Gylling Safeldt, Lærke Karen Krohne, Kristoffer Hougaard Madsen, Hartwig R. Siebner, Danilo P. Mandic, Lars Kai Hansen:
Unmixing Oscillatory Brain Activity by EEG Source Localization and Empirical Mode Decomposition. Comput. Intell. Neurosci. 2019: 5618303:1-5618303:15 (2019) - [j171]Zhe Li, Yili Xia, Wenjiang Pei, Danilo P. Mandic:
A cost-effective nonlinear self-interference canceller in full-duplex direct-conversion transceivers. Signal Process. 158: 4-14 (2019) - [j170]Alexander E. Stott, Bruno Scalzo Dees, Ilia Kisil, Danilo P. Mandic:
A class of multidimensional NIPALS algorithms for quaternion and tensor partial least squares regression. Signal Process. 160: 316-327 (2019) - [j169]Sayed Pouria Talebi, Stefan Werner, Danilo P. Mandic:
Complex-Valued Nonlinear Adaptive Filters With Applications in $\alpha$-Stable Environments. IEEE Signal Process. Lett. 26(9): 1315-1319 (2019) - [j168]Min Xiang, Yili Xia, Danilo P. Mandic:
Complementary Cost Functions for Complex and Quaternion Widely Linear Estimation. IEEE Signal Process. Lett. 26(9): 1344-1348 (2019) - [j167]Danilo P. Mandic, Sithan Kanna, Yili Xia, Ahmad Moniri, Adrià Junyent-Ferré, Anthony G. Constantinides:
A Data Analytics Perspective of Power Grid Analysis-Part 1: The Clarke and Related Transforms [Lecture Notes]. IEEE Signal Process. Mag. 36(2): 110-116 (2019) - [j166]Sithan Kanna, Ahmad Moniri, Yili Xia, Anthony G. Constantinides, Danilo P. Mandic:
A Data Analytics Perspective of Power Grid Analysis-Part 2: Teaching Old Power Systems New Tricks [Lecture Notes]. IEEE Signal Process. Mag. 36(3): 110-117 (2019) - [j165]Danilo P. Mandic, Petar M. Djuric, Andrzej Cichocki, Clive Cheong Took, Saeid Sanei, Lajos Hanzo:
Quo Vadis ICASSP: Echoes of 2019 ICASSP in Brighton, United Kingdom: Signal Processing Meets the Needs of Modern Humankind [Conference Highlights]. IEEE Signal Process. Mag. 36(5): 127-134 (2019) - [j164]Victor Solo, Maria Sabrina Greco, Danilo P. Mandic, Petar M. Djuric, Andreas Spanias, Mónica F. Bugallo:
Innovation Starts With Education: ICASSP 2019 Education Panel [SP Forum]. IEEE Signal Process. Mag. 36(5): 135-147 (2019) - [j163]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): 133-145 (2019) - [j162]Min Xiang, Bruno Scalzo Dees, Danilo P. Mandic:
Multiple-Model Adaptive Estimation for 3-D and 4-D Signals: A Widely Linear Quaternion Approach. IEEE Trans. Neural Networks Learn. Syst. 30(1): 72-84 (2019) - [j161]Danilo P. Mandic, Clive Cheong Took:
Reply to "Comments on 'The Quaternion LMS Algorithm for Adaptive Filtering of Hypercomplex Processes'". IEEE Trans. Signal Process. 67(7): 1959 (2019) - [j160]Xing Zhang, Yili Xia, Chunguo Li, Luxi Yang, Danilo P. Mandic:
Analysis of the Unconstrained Frequency-Domain Block LMS for Second-Order Noncircular Inputs. IEEE Trans. Signal Process. 67(15): 3970-3984 (2019) - [j159]Tohru Nitta, Masaki Kobayashi, Danilo P. Mandic:
Hypercomplex Widely Linear Estimation Through the Lens of Underpinning Geometry. IEEE Trans. Signal Process. 67(15): 3985-3994 (2019) - [j158]Yili Xia, Song Tao, Zhe Li, Min Xiang, Wenjiang Pei, Danilo P. Mandic:
Full Mean Square Performance Bounds on Quaternion Estimators for Improper Data. IEEE Trans. Signal Process. 67(15): 4093-4106 (2019) - [j157]Hao Cheng, Yili Xia, Yongming Huang, Luxi Yang, Danilo P. Mandic:
Joint Channel Estimation and Tx/Rx I/Q Imbalance Compensation for GFDM Systems. IEEE Trans. Wirel. Commun. 18(2): 1304-1317 (2019) - [c191]Longhao Yuan, Chao Li, Danilo P. Mandic, Jianting Cao, Qibin Zhao:
Tensor Ring Decomposition with Rank Minimization on Latent Space: An Efficient Approach for Tensor Completion. AAAI 2019: 9151-9158 - [c190]Takashi Nakamura, Harry J. Davies, Danilo P. Mandic:
Scalable automatic sleep staging in the era of Big Data. EMBC 2019: 2265-2268 - [c189]Harry J. Davies, Takashi Nakamura, Danilo P. Mandic:
A Transition Probability Based Classification Model for Enhanced N1 Sleep stage Identification During Automatic Sleep Stage Scoring. EMBC 2019: 3641-3644 - [c188]Ghena Hammour, Metin Yarici, Wilhelm von Rosenberg, Danilo P. Mandic:
Hearables: Feasibility and Validation of In-Ear Electrocardiogram. EMBC 2019: 5777-5780 - [c187]Zeyang Yu, Shengxi Li, Danilo P. Mandic:
Widely Linear Complex-Valued Autoencoder: Dealing with Noncircularity in Generative-Discriminative Models. ICANN (1) 2019: 339-350 - [c186]Sayed Pouria Talebi, Stefan Werner, Shengxi Li, Danilo P. Mandic:
Tracking Dynamic Systems in α-Stable Environments. ICASSP 2019: 4853-4857 - [c185]Thiernithi Variddhisaï, Min Xiang, Scott C. Douglas, Danilo P. Mandic:
Quaternion-Valued Adaptive Filtering via Nesterov's Extrapolation. ICASSP 2019: 4868-4872 - [c184]Xing Zhang, Bruno Scalzo Dees, Chunguo Li, Yili Xia, Luxi Yang, Danilo P. Mandic:
Simultaneous DFT and IDFT through Widely Linear CLMS. ICASSP 2019: 7750-7754 - [c183]Ahmad Moniri, Anthony G. Constantinides, Danilo P. Mandic:
Smart DSP for a Smarter Power Grid: Teaching Power System Analysis through Signal Processing. ICASSP 2019: 7883-7887 - [c182]Giuseppe Giovanni Calvi, Vladimir Lucic, Danilo P. Mandic:
Support Tensor Machine for Financial Forecasting. ICASSP 2019: 8152-8156 - [c181]Ilya Kisil, Giuseppe Giovanni Calvi, Bruno Scalzo Dees, Danilo P. Mandic:
Tensor Decompositions and Practical Applications: A Hands-on Tutorial. INNSBDDL (Tutorials) 2019: 69-97 - [i34]Zeyang Yu, Shengxi Li, Danilo P. Mandic:
Widely Linear Complex-valued Autoencoder: Dealing with Noncircularity in Generative-Discriminative Models. CoRR abs/1903.02014 (2019) - [i33]Giuseppe Giovanni Calvi, Ahmad Moniri, Mahmoud Mahfouz, Zeyang Yu, Qibin Zhao, Danilo P. Mandic:
Tucker Tensor Layer in Fully Connected Neural Networks. CoRR abs/1903.06133 (2019) - [i32]Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic, Ilya Kisil:
An Intuitive Derivation of the Coherence Index Relation in Compressive Sensing. CoRR abs/1903.11136 (2019) - [i31]Ljubisa Stankovic, Milos Brajovic, Milos Dakovic, Danilo P. Mandic:
On the Decomposition of Multivariate Nonstationary Multicomponent Signals. CoRR abs/1904.00403 (2019) - [i30]Shengxi Li, Zeyang Yu, Min Xiang, Danilo P. Mandic:
A general solver to the elliptical mixture model through an approximate Wasserstein manifold. CoRR abs/1906.03700 (2019) - [i29]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 abs/1907.03467 (2019) - [i28]Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic, Bruno Scalzo, Milos Brajovic, Ervin Sejdic, Anthony G. Constantinides:
Vertex-Frequency Graph Signal Processing. CoRR abs/1907.03471 (2019) - [i27]Bruno Scalzo Dees, Ljubisa Stankovic, Milos Dakovic, Anthony G. Constantinides, Danilo P. Mandic:
A Unifying Analysis of Shift Operators on a Graph. CoRR abs/1908.01596 (2019) - [i26]Bruno Scalzo Dees, Ljubisa Stankovic, Milos Dakovic, Anthony G. Constantinides, Danilo P. Mandic:
Unitary Shift Operators on a Graph. CoRR abs/1909.05767 (2019) - [i25]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 abs/1909.10325 (2019) - [i24]Bruno Scalzo Dees, Ljubisa Stankovic, Anthony G. Constantinides, Danilo P. Mandic:
Portfolio Cuts: A Graph-Theoretic Framework to Diversification. CoRR abs/1910.05561 (2019) - [i23]Jean P. Chereau, Bruno Scalzo Dees, Danilo P. Mandic:
Robust Principal Component Analysis Based On Maximum Correntropy Power Iterations. CoRR abs/1910.11374 (2019) - [i22]Bruno Scalzo Dees, Danilo P. Mandic:
A Statistically Identifiable Model for Tensor-Valued Gaussian Random Variables. CoRR abs/1911.02915 (2019) - [i21]Bruno Scalzo Dees, Anthony G. Constantinides, Danilo P. Mandic:
Graph Theory and Metro Traffic Modelling. CoRR abs/1912.05964 (2019) - 2018
- [j156]David Looney, Tricia Adjei, Danilo P. Mandic:
A Novel Multivariate Sample Entropy Algorithm for Modeling Time Series Synchronization. Entropy 20(2): 82 (2018) - [j155]Mihaela A. M. Constantinescu, Su-Lin Lee, Sabine Ernst, Apit Hemakom, Danilo P. Mandic, Guang-Zhong Yang:
Probabilistic guidance for catheter tip motion in cardiac ablation procedures. Medical Image Anal. 47: 1-14 (2018) - [j154]Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic, Milos Brajovic:
Time-frequency decomposition of multivariate multicomponent signals. Signal Process.