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Danilo P. Mandic
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- affiliation: Imperial College London, UK
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2020 – today
- 2025
- [j240]Qiankun Diao, Dongpo Xu
, Shuning Sun
Optimizing beamforming in quaternion signal processing using projected gradient descent algorithm. Signal Process. 227: 109738 (2025) - 2024
- [j239]Yiming Jiang, Jinlan Liu, Dongpo Xu, Danilo P. Mandic:
UAdam: Unified Adam-Type Algorithmic Framework for Nonconvex Optimization. Neural Comput. 36(9): 1912-1938 (2024) - [j238]Sichao Fu
Finding core labels for maximizing generalization of graph neural networks. Neural Networks 180: 106635 (2024) - [j237]Libor Pastika
Artificial intelligence-enhanced electrocardiography derived body mass index as a predictor of future cardiometabolic disease. npj Digit. Medicine 7(1) (2024) - [j236]Yuqing Liang, Dongpo Xu
Almost sure convergence of stochastic composite objective mirror descent for non-convex non-smooth optimization. Optim. Lett. 18(9): 2113-2131 (2024) - [j235]Ildar Rakhmatulin, Minh-Son Dao, Amir Nassibi
Exploring Convolutional Neural Network Architectures for EEG Feature Extraction. Sensors 24(3): 877 (2024) - [j234]Qiankun Diao
Price's Theorem for Quaternion Variables. IEEE Signal Process. Lett. 31: 1424-1428 (2024) - [j233]Danilo Comminiello
Demystifying the Hypercomplex: Inductive biases in hypercomplex deep learning [Hypercomplex Signal and Image Processing]. IEEE Signal Process. Mag. 41(3): 59-71 (2024) - [j232]Clive Cheong Took
Augmented Statistics of Quaternion Random Variables: A lynchpin of quaternion learning machines [Hypercomplex Signal and Image Processing]. IEEE Signal Process. Mag. 41(3): 72-87 (2024) - [j231]Harry J. Davies
The Deep-Match Framework: R-Peak Detection in Ear-ECG. IEEE Trans. Biomed. Eng. 71(7): 2014-2021 (2024) - [j230]Marek Zylinski
Deployment of Artificial Intelligence Models on Edge Devices: A Tutorial Brief. IEEE Trans. Circuits Syst. II Express Briefs 71(3): 1738-1743 (2024) - [j229]Shengxi Li, Xuelong Li, Leonardo Chiariglione, Jiebo Luo, Wenwu Wang, Zhengyuan Yang, Danilo P. Mandic, Hamido Fujita:
Introduction to the Special Issue on AI-Generated Content for Multimedia. IEEE Trans. Circuits Syst. Video Technol. 34(8): 6809-6813 (2024) - [j228]Chuang Liu
Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35(10): 14903-14917 (2024) - [j227]Isidora Stankovic
Matched Filtering on Directed Graphs. IEEE Trans. Syst. Man Cybern. Syst. 54(9): 5857-5861 (2024) - [c244]Giorgos Iacovides
FinLlama: LLM-Based Financial Sentiment Analysis for Algorithmic Trading. ICAIF 2024: 134-141 - [c243]Mike Thornton, Jonas Auernheimer, Constantin Jehn, Danilo P. Mandic, Tobias Reichenbach:
Detecting Gamma-Band Responses to the Speech Envelope for the ICASSP 2024 Auditory EEG Decoding Signal Processing Grand Challenge. ICASSP Workshops 2024: 55-56 - [c242]Harry J. Davies, Yuyang Miao, Amir Nassibi, Morteza Khaleghimeybodi, Danilo P. Mandic:
Segmented Error Minimisation (Semi) for Robust Training of Deep Learning Models with Non-Linear Shifts in Reference Data. ICASSP 2024: 5215-5219 - [c241]Andrea Cini, Danilo P. Mandic, Cesare Alippi:
Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting. ICML 2024 - [c240]Pauline Bourigault, Dongpo Xu, Danilo P. Mandic:
Quaternion Recurrent Neural Network with Real-Time Recurrent Learning and Maximum Correntropy Criterion. IJCNN 2024: 1-8 - [c239]Yuyang Miao, Haolin Li, Danilo P. Mandic:
GPINN: Physics-Informed Neural Network with Graph Embedding. IJCNN 2024: 1-8 - [c238]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. IJCNN 2024: 1-8 - [c237]Sayed Pouria Talebi, Danilo P. Mandic:
On the Dynamics of Multiagent Nonlinear Filtering and Learning. MLSP 2024: 1-6 - [i88]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 abs/2401.16729 (2024) - [i87]Mike Thornton, Jonas Auernheimer, Constantin Jehn, Danilo P. Mandic, Tobias Reichenbach:
Detecting gamma-band responses to the speech envelope for the ICASSP 2024 Auditory EEG Decoding Signal Processing Grand Challenge. CoRR abs/2401.17380 (2024) - [i86]Pauline Bourigault, Dongpo Xu, Danilo P. Mandic:
Quaternion recurrent neural network with real-time recurrent learning and maximum correntropy criterion. CoRR abs/2402.14227 (2024) - [i85]Thanos Konstantinidis, Giorgos Iacovides, Mingxue Xu, Tony G. Constantinides, Danilo P. Mandic:
FinLlama: Financial Sentiment Classification for Algorithmic Trading Applications. CoRR abs/2403.12285 (2024) - [i84]Nina Moutonnet, Steven White, Benjamin P. Campbell, Danilo P. Mandic, Gregory Scott:
Clinical translation of machine learning algorithms for seizure detection in scalp electroencephalography: a systematic review. CoRR abs/2404.15332 (2024) - [i83]Danilo Comminiello, Eleonora Grassucci, Danilo P. Mandic, Aurelio Uncini:
Demystifying the Hypercomplex: Inductive Biases in Hypercomplex Deep Learning. CoRR abs/2405.07024 (2024) - [i82]Harry J. Davies, James Monsen, Danilo P. Mandic:
Interpretable Pre-Trained Transformers for Heart Time-Series Data. CoRR abs/2407.20775 (2024) - [i81]Edoardo Occhipinti, Marek Zylinski, Harry J. Davies, Amir Nassibi, Matteo Bermond, Patrik Bachtiger, Nicholas S. Peters, Danilo P. Mandic:
In-ear ECG Signal Enhancement with Denoising Convolutional Autoencoders. CoRR abs/2409.05891 (2024) - [i80]Zeyang Yu, Shengxi Li, Danilo P. Mandic:
CF-GO-Net: A Universal Distribution Learner via Characteristic Function Networks with Graph Optimizers. CoRR abs/2409.12610 (2024) - [i79]Mingxue Xu, Sadia Sharmin, Danilo P. Mandic:
Geometry is All You Need: A Unified Taxonomy of Matrix and Tensor Factorization for Compression of Generative Language Models. CoRR abs/2410.03040 (2024) - [i78]Yuyang Miao, Zehua Chen, Chang Li, Danilo P. Mandic:
RespDiff: An End-to-End Multi-scale RNN Diffusion Model for Respiratory Waveform Estimation from PPG Signals. CoRR abs/2410.04366 (2024) - [i77]Giorgos Iacovides, Wuyang Zhou, Danilo P. Mandic:
Towards LLM-guided Efficient and Interpretable Multi-linear Tensor Network Rank Selection. CoRR abs/2410.10728 (2024) - 2023
- [j226]Harry J. Davies
Rapid extraction of respiratory waveforms from photoplethysmography: A deep corr-encoder approach. Biomed. Signal Process. Control. 85: 104992 (2023) - [j225]Sayed Pouria Talebi
Filtering Structures for α-Stable Systems. IEEE Control. Syst. Lett. 7: 553-558 (2023) - [j224]Jinlan Liu
Last-iterate convergence analysis of stochastic momentum methods for neural networks. Neurocomputing 527: 27-35 (2023) - [j223]Yao Lei Xu, Kriton Konstantinidis, Danilo P. Mandic:
Graph-Regularized Tensor Regression: A Domain-Aware Framework for Interpretable Modeling of Multiway Data on Graphs. Neural Comput. 35(8): 1404-1429 (2023) - [j222]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: 83-88 (2023) - [j221]Shengxi Li
Reciprocal GAN Through Characteristic Functions (RCF-GAN). IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 2246-2263 (2023) - [j220]Ghena Hammour
An In-Ear PPG-Based Blood Glucose Monitor: A Proof-of-Concept Study. Sensors 23(6): 3319 (2023) - [j219]Marek Zylinski
Design and Implementation of an Atrial Fibrillation Detection Algorithm on the ARM Cortex-M4 Microcontroller. Sensors 23(17): 7521 (2023) - [j218]Zhu Qing, Jingen Ni, Zhe Li
Performance analysis of the augmented complex-valued least mean kurtosis algorithm. Signal Process. 203: 108792 (2023) - [j217]Engin Cemal Mengüç
A Class of Online Censoring Based Quaternion-Valued Least Mean Square Algorithms. IEEE Signal Process. Lett. 30: 244-248 (2023) - [j216]Ljubisa Stankovic
Understanding the Basis of Graph Convolutional Neural Networks via an Intuitive Matched Filtering Approach [Lecture Notes]. IEEE Signal Process. Mag. 40(2): 155-165 (2023) - [j215]Harry J. Davies
In-Ear SpO₂ for Classification of Cognitive Workload. IEEE Trans. Cogn. Dev. Syst. 15(2): 950-958 (2023) - [j214]Shengxi Li
Von Mises-Fisher Elliptical Distribution. IEEE Trans. Neural Networks Learn. Syst. 34(12): 11006-11012 (2023) - [j213]Ljubisa Stankovic
Convolutional Neural Networks Demystified: A Matched Filtering Perspective-Based Tutorial. IEEE Trans. Syst. Man Cybern. Syst. 53(6): 3614-3628 (2023) - [j212]Shuning Sun
Convex Quaternion Optimization for Signal Processing: Theory and Applications. IEEE Trans. Signal Process. 71: 4106-4115 (2023) - [c236]Matteo Bermond, Harry J. Davies, Edoardo Occhipinti, Amir Nassibi
Reducing racial bias in SpO2 estimation: The effects of skin pigmentation. EMBC 2023: 1-5 - [c235]Harry J. Davies, Marek Zylinski, Matteo Bermond, Zhuang Liu, Morteza Khaleghimeybodi, Danilo P. Mandic:
Feasibility of Transfer Learning from Finger PPG to In-Ear PPG. EMBC 2023: 1-4 - [c234]Ghena Hammour, Giuseppe Atzori, Ciro della Monica, Kiran K. G. Ravindran, Victoria Revell, Derk-Jan Dijk, Danilo P. Mandic:
Hearables: Automatic Sleep Scoring from Single-Channel Ear-EEG in Older Adults. EMBC 2023: 1-4 - [c233]Haozhe Tian
Hearables: Heart Rate Variability from Ear Electrocardiogram and Ear Photoplethysmogram (Ear-ECG and Ear-PPG). EMBC 2023: 1-5 - [c232]Marek Zylinski, Edoardo Occhipinti, Danilo P. Mandic:
Generalization Error of a Regression Model for Non-Invasive Blood Pressure Monitoring using a Single Photoplethysmography (PPG) Signal. EMBC 2023: i-iv - [c231]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: 1-5 - [c230]Aaman Rebello, Kriton Konstantinidis, Yao Lei Xu, Danilo P. Mandic:
Tensor Completion for Efficient and Accurate Hyperparameter Optimisation in Large-Scale Statistical Learning. ICASSP 2023: 1-5 - [c229]Mike Thornton, Danilo P. Mandic, Tobias Reichenbach:
Relating EEG Recordings to Speech Using Envelope Tracking and The Speech-FFR. ICASSP 2023: 1-2 - [c228]Hongjian Xiao, Ling Li
ClassA Entropy for the Analysis of Structural Complexity of Physiological Signals. ICASSP 2023: 1-5 - [c227]Thanos Konstantinidis, Arnau Bonet Farres, Yao Lei Xu, Tony Constantinides, Danilo P. Mandic:
Financial News Classification Model for NLP-based Bond Portfolio Construction. DSP 2023: 1-5 - [c226]Thanos Konstantinidis, Maya Golan, Yao Lei Xu, Tony Constantinides, Danilo P. Mandic:
Text Mining for Sentiment Analysis in Bond Portfolio Construction. DSP 2023: 1-5 - [c225]Thanos Konstantinidis, Yao Lei Xu, Tony Constantinides, Danilo P. Mandic:
A comparative study on ML-based approaches for Main Entity Detection in Financial Reports. DSP 2023: 1-5 - [c224]Haohe Liu, Zehua Chen, Yi Yuan, Xinhao Mei, Xubo Liu, Danilo P. Mandic, Wenwu Wang, Mark D. Plumbley:
AudioLDM: Text-to-Audio Generation with Latent Diffusion Models. ICML 2023: 21450-21474 - [c223]Shamahil Ibunu, Karl Moore, Clive Cheong Took, Danilo P. Mandic:
Weight sharing for single-channel LMS. SSP 2023: 185-189 - [e3]Chrisina Jayne, Danilo P. Mandic, Richard J. Duro:
International Neural Network Society Workshop on Deep Learning Innovations and Applications, INNS DLIA@IJCNN 2023, Gold Coast, Australia, 23 June 2023. Procedia Computer Science 222, Elsevier 2023 [contents] - [i76]Alexander Jenkins, Imad Jaimoukha, Ljubisa Stankovic, Danilo P. Mandic:
Fair and skill-diverse student group formation via constrained k-way graph partitioning. CoRR abs/2301.09984 (2023) - [i75]Haohe Liu, Zehua Chen, Yi Yuan, Xinhao Mei, Xubo Liu, Danilo P. Mandic, Wenwu Wang, Mark D. Plumbley:
AudioLDM: Text-to-Audio Generation with Latent Diffusion Models. CoRR abs/2301.12503 (2023) - [i74]Yao Lei Xu, Kriton Konstantinidis, Danilo P. Mandic:
Graph Tensor Networks: An Intuitive Framework for Designing Large-Scale Neural Learning Systems on Multiple Domains. CoRR abs/2303.13565 (2023) - [i73]Yiming Jiang, Jinlan Liu, Dongpo Xu, Danilo P. Mandic:
UAdam: Unified Adam-Type Algorithmic Framework for Non-Convex Stochastic Optimization. CoRR abs/2305.05675 (2023) - [i72]Shuning Sun, Qiankun Diao, Dongpo Xu, Pauline Bourigault, Danilo P. Mandic:
Convex Quaternion Optimization for Signal Processing: Theory and Applications. CoRR abs/2305.06879 (2023) - [i71]Yuyang Miao, Harry J. Davies, Danilo P. Mandic:
Amplitude-Independent Machine Learning for PPG through Visibility Graphs and Transfer Learning. CoRR abs/2305.14062 (2023) - [i70]Andrea Cini, Danilo P. Mandic, Cesare Alippi:
Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting. CoRR abs/2305.19183 (2023) - [i69]Mingxue Xu, Yao Lei Xu, Danilo P. Mandic:
TensorGPT: Efficient Compression of the Embedding Layer in LLMs based on the Tensor-Train Decomposition. CoRR abs/2307.00526 (2023) - [i68]Sayed Pouria Talebi, Danilo P. Mandic:
On the dynamics of multi agent nonlinear filtering and learning. CoRR abs/2309.03557 (2023) - [i67]Alexander Jenkins, Zehua Chen, Fu Siong Ng, Danilo P. Mandic:
Improving Diffusion Models for ECG Imputation with an Augmented Template Prior. CoRR abs/2310.15742 (2023) - [i66]Danilo P. Mandic, Sayed Pouria Talebi, Clive Cheong Took, Yili Xia, Dongpo Xu, Min Xiang, Pauline Bourigault
The HR-Calculus: Enabling Information Processing with Quaternion Algebra. CoRR abs/2311.16771 (2023) - [i65]Mike Thornton, Danilo P. Mandic, Tobias Reichenbach:
Decoding Envelope and Frequency-Following EEG Responses to Continuous Speech Using Deep Neural Networks. CoRR abs/2312.09768 (2023) - 2022
- [j211]Clive Cheong Took
Weight sharing for LMS algorithms: Convolutional neural networks inspired multichannel adaptive filtering. Digit. Signal Process. 127: 103580 (2022) - [j210]Hongjian Xiao, Danilo P. Mandic
Variational Embedding Multiscale Sample Entropy: A Tool for Complexity Analysis of Multichannel Systems. Entropy 24(1): 26 (2022) - [j209]Hongjian Xiao
Multivariate Multiscale Cosine Similarity Entropy and Its Application to Examine Circularity Properties in Division Algebras. Entropy 24(9): 1287 (2022) - [j208]Ales Procházka
Incremental deep learning for reflectivity data recognition in stomatology. Neural Comput. Appl. 34(9): 7081-7089 (2022) - [j207]Katarzyna Powezka
A Pilot Study of Heart Rate Variability Synchrony as a Marker of Intraoperative Surgical Teamwork and Its Correlation to the Length of Procedure. Sensors 22(22): 8998 (2022) - [j206]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) - [j205]Engin Cemal Mengüç
Online censoring based complex-valued adaptive filters. Signal Process. 200: 108638 (2022) - [j204]Ilya Kisil, Giuseppe Giovanni Calvi, Kriton Konstantinidis, Yao Lei Xu, Danilo P. Mandic:
Accelerating Tensor Contraction Products via Tensor-Train Decomposition [Tips & Tricks]. IEEE Signal Process. Mag. 39(5): 63-70 (2022) - [j203]Harry J. Davies
Wearable In-Ear PPG: Detailed Respiratory Variations Enable Classification of COPD. IEEE Trans. Biomed. Eng. 69(7): 2390-2400 (2022) - [j202]Alexandros Haliassos
Supervised Learning for Nonsequential Data: A Canonical Polyadic Decomposition Approach. IEEE Trans. Neural Networks Learn. Syst. 33(10): 5162-5176 (2022) - [c222]Michele Lo Giudice, Nadia Mammone, Cosimo Ieracitano, Umberto Aguglia, Danilo P. Mandic, Francesco Carlo Morabito:
Explainable Deep Learning Classification of Respiratory Sound for Telemedicine Applications. AII 2022: 391-403 - [c221]Harry J. Davies, Ian Williams, Danilo P. Mandic:
Tracking Cognitive Workload in Gaming with In-Ear $\text{SpO}_{2}$. EMBC 2022: 4913-4916 - [c220]Jacobo Roa-Vicens, Yao Lei Xu, Ricardo Silva, Danilo P. Mandic:
Graph and tensor-train recurrent neural networks for high-dimensional models of limit order books. ICAIF 2022: 207-213 - [c219]Kriton Konstantinidis, Yao Lei Xu, Qibin Zhao, Danilo P. Mandic:
Variational Bayesian Tensor Networks with Structured Posteriors. ICASSP 2022: 3638-3642 - [c218]Yao Lei Xu, Kriton Konstantinidis, Shengxi Li, Ljubisa Stankovic, Danilo P. Mandic:
Low-Complexity Attention Modelling via Graph Tensor Networks. ICASSP 2022: 3928-3932 - [c217]Alvaro Arroyo, Bruno Scalzo, Ljubisa Stankovic, Danilo P. Mandic:
Dynamic Portfolio Cuts: A Spectral Approach to Graph-Theoretic Diversification. ICASSP 2022: 5468-5472 - [c216]Hongjian Xiao, Theerasak Chanwimalueang, Danilo P. Mandic:
Multivariate Multiscale Cosine Similarity Entropy. ICASSP 2022: 5997-6001 - [c215]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. ICASSP 2022: 8432-8436 - [c214]Sayed Pouria Talebi, Stefan Werner
A Joint Particle Filter for Quaternion-Valued $\alpha$-Stable Signals via the Characteristic Function. SAM 2022: 390-394 - [c213]Edoardo Occhipinti, Harry J. Davies, Ghena Hammour, Danilo P. Mandic:
Hearables: Artefact removal in Ear-EEG for continuous 24/7 monitoring. IJCNN 2022: 1-6 - [c212]Sayed Pouria Talebi, Stefan Werner
Fractional-Order Learning Systems. IJCNN 2022: 1-6 - [c211]Yichong Leng, Zehua Chen, Junliang Guo, Haohe Liu, Jiawei Chen, Xu Tan, Danilo P. Mandic, Lei He, Xiangyang Li, Tao Qin, Sheng Zhao, Tie-Yan Liu:
BinauralGrad: A Two-Stage Conditional Diffusion Probabilistic Model for Binaural Audio Synthesis. NeurIPS 2022 - [i64]Rohan Tangri, Danilo P. Mandic, Anthony G. Constantinides:
Pearl: Parallel Evolutionary and Reinforcement Learning Library. CoRR abs/2201.09568 (2022) - [i63]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) - [i62]Yichong Leng, Zehua Chen, Junliang Guo, Haohe Liu, Jiawei Chen, Xu Tan, Danilo P. Mandic, Lei He, Xiang-Yang Li, Tao Qin, Sheng Zhao, Tie-Yan Liu:
BinauralGrad: A Two-Stage Conditional Diffusion Probabilistic Model for Binaural Audio Synthesis. CoRR abs/2205.14807 (2022) - [i61]Dongpo Xu
Last-iterate convergence analysis of stochastic momentum methods for neural networks. CoRR abs/2205.14811 (2022) - [i60]Chuang Liu, Xueqi Ma, Yibing Zhan, Liang Ding, Dapeng Tao, Bo Du, Wenbin Hu, Danilo P. Mandic:
Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural Networks. CoRR abs/2207.08629 (2022) - [i59]Shengxi Li, Xinyi Zhao, Ljubisa Stankovic, Danilo P. Mandic:
Demystifying CNNs for Images by Matched Filters. CoRR abs/2210.08521 (2022) - [i58]Yuyang Miao
Hyper-GST: Predict Metro Passenger Flow Incorporating GraphSAGE, Hypergraph, Social-meaningful Edge Weights and Temporal Exploitation. CoRR abs/2211.04988 (2022) - [i57]Yao Lei Xu, Kriton Konstantinidis, Danilo P. Mandic:
Graph-Regularized Tensor Regression: A Domain-Aware Framework for Interpretable Multi-Way Financial Modelling. CoRR abs/2211.05581 (2022) - [i56]Harry J. Davies, Danilo P. Mandic:
Rapid Extraction of Respiratory Waveforms from Photoplethysmography: A Deep Encoder Approach. CoRR abs/2212.12578 (2022) - [i55]Zehua Chen, Yihan Wu, Yichong Leng, Jiawei Chen, Haohe Liu, Xu Tan, Yang Cui, Ke Wang, Lei He, Sheng Zhao, Jiang Bian, Danilo P. Mandic:
ResGrad: Residual Denoising Diffusion Probabilistic Models for Text to Speech. CoRR abs/2212.14518 (2022) - 2021
- [j201]Yassin Khalifa
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
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
Improved Coherence Index-Based Bound in Compressive Sensing. IEEE Signal Process. Lett. 28: 1110-1114 (2021) - [j195]Engin Cemal Mengüç
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
Innovation Starts With Education [From the Guest Editors]. IEEE Signal Process. Mag. 38(3): 11-13 (2021) - [j193]Shengxi Li
A Universal Framework for Learning the Elliptical Mixture Model. IEEE Trans. Neural Networks Learn. Syst. 32(7): 3181-3195 (2021) - [j192]Zhe Li
A Full Second-Order Analysis of the Widely Linear MVDR Beamformer for Noncircular Signals. IEEE Trans. Signal Process. 69: 4257-4268 (2021) - [c210]Ghena Hammour
Hearables: Making Sense from Motion Artefacts in Ear-EEG for Real-Life Human Activity Classification. EMBC 2021: 6889-6893 - [c209]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 - [c208]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 - [c207]Kriton Konstantinidis, Shengxi Li, Danilo P. Mandic:
Kernel Learning with Tensor Networks. ICASSP 2021: 2920-2924 - [c206]Jean P. Chereau, Bruno Scalzo, Danilo P. Mandic:
Robust PCA Through Maximum Correntropy Power Iterations. ICASSP 2021: 4985-4989 - [c205]Bruno Scalzo, Alvaro Arroyo, Ljubisa Stankovic, Danilo P. Mandic:
Nonstationary Portfolios: Diversification in the Spectral Domain. ICASSP 2021: 5155-5159 - [c204]Bruno Scalzo Dees, Yao Lei Xu, Anthony G. Constantinides, Danilo P. Mandic:
Graph Theory for Metro Traffic Modelling. IJCNN 2021: 1-5 - [c203]Yao Lei Xu, Giuseppe Giovanni Calvi, Danilo P. Mandic:
Tensor-Train Recurrent Neural Networks for Interpretable Multi-Way Financial Forecasting. IJCNN 2021: 1-5 - [c202]Alejandro Cuevas, Sebastián López, Danilo P. Mandic, Felipe A. Tobar:
Bayesian autoregressive spectral estimation. LA-CCI 2021: 1-7 - [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
Vertex-frequency graph signal processing: A comprehensive review. Digit. Signal Process. 107: 102802 (2020) - [j190]Ljubisa Stankovic, Danilo P. Mandic, Milos Dakovic
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
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
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
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
In-Ear SpO2: A Tool for Wearable, Unobtrusive Monitoring of Core Blood Oxygen Saturation. Sensors 20(17): 4879 (2020) - [j185]Ljubisa Stankovic
On the decomposition of multichannel nonstationary multicomponent signals. Signal Process. 167 (2020) - [j184]Vinay Chakravarthi Gogineni
Fractional-Order Correntropy Adaptive Filters for Distributed Processing of $\alpha$-Stable Signals. IEEE Signal Process. Lett. 27: 1884-1888 (2020) - [j183]Ljubisa Stankovic
Demystifying the Coherence Index in Compressive Sensing [Lecture Notes]. IEEE Signal Process. Mag. 37(1): 152-162 (2020) - [j182]Sayed Pouria Talebi
Quaternion-Valued Distributed Filtering and Control. IEEE Trans. Autom. Control. 65(10): 4246-4257 (2020) - [j181]Takashi Nakamura
Hearables: Automatic Overnight Sleep Monitoring With Standardized In-Ear EEG Sensor. IEEE Trans. Biomed. Eng. 67(1): 203-212 (2020) - [j180]Xing Zhang
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
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
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
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
Performance Analysis of Deficient Length Quaternion Least Mean Square Adaptive Filters. IEEE Trans. Signal Process. 68: 65-80 (2020) - [j175]Engin Cemal Mengüç
Widely Linear Quaternion-Valued Least-Mean Kurtosis Algorithm. IEEE Trans. Signal Process. 68: 5914-5922 (2020) - [j174]Xing Zhang
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
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
Bidimensional Multivariate Empirical Mode Decomposition With Applications in Multi-Scale Image Fusion. IEEE Access 7: 114261-114270 (2019) - [j172]Sofie Therese 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
A cost-effective nonlinear self-interference canceller in full-duplex direct-conversion transceivers. Signal Process. 158: 4-14 (2019) - [j170]Alexander E. Stott
A class of multidimensional NIPALS algorithms for quaternion and tensor partial least squares regression. Signal Process. 160: 316-327 (2019) - [j169]Sayed Pouria Talebi
Complex-Valued Nonlinear Adaptive Filters With Applications in $\alpha$-Stable Environments. IEEE Signal Process. Lett. 26(9): 1315-1319 (2019) - [j168]Min Xiang
Complementary Cost Functions for Complex and Quaternion Widely Linear Estimation. IEEE Signal Process. Lett. 26(9): 1344-1348 (2019) - [j167]Danilo P. Mandic
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
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
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
Innovation Starts With Education: ICASSP 2019 Education Panel [SP Forum]. IEEE Signal Process. Mag. 36(5): 135-147 (2019) - [j163]Ljubisa Stankovic
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
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
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
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
Hypercomplex Widely Linear Estimation Through the Lens of Underpinning Geometry. IEEE Trans. Signal Process. 67(15): 3985-3994 (2019) - [j158]Yili Xia
Full Mean Square Performance Bounds on Quaternion Estimators for Improper Data. IEEE Trans. Signal Process. 67(15): 4093-4106 (2019) - [j157]Hao Cheng
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
Scalable automatic sleep staging in the era of Big Data. EMBC 2019: 2265-2268 - [c189]Harry J. Davies
A Transition Probability Based Classification Model for Enhanced N1 Sleep stage Identification During Automatic Sleep Stage Scoring. EMBC 2019: 3641-3644 - [c188]Ghena Hammour
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
Tracking Dynamic Systems in α-Stable Environments. ICASSP 2019: 4853-4857 - [c185]Thiernithi Variddhisaï, Min Xiang, Scott C. Douglas
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
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. 142: 468-479 (2018) - [j153]Yili Xia, Scott C. Douglas
Performance analysis of the deficient length augmented CLMS algorithm for second order noncircular complex signals. Signal Process. 144: 214-225 (2018) - [j152]Min Xiang
Simultaneous diagonalisation of the covariance and complementary covariance matrices in quaternion widely linear signal processing. Signal Process. 148: 193-204 (2018) - [j151]Yili Xia
A perspective on CLMS as a deficient length augmented CLMS: Dealing with second order noncircularity. Signal Process. 149: 236-245 (2018) - [j150]Alexander E. Stott
Widely linear complex partial least squares for latent subspace regression. Signal Process. 152: 350-362 (2018) - [j149]Sayed Pouria Talebi
Distributed Adaptive Filtering of α-Stable Signals. IEEE Signal Process. Lett. 25(10): 1450-1454 (2018) - [j148]Sithan Kanna, Wilhelm von Rosenberg, Valentin Goverdovsky, Anthony G. Constantinides, Danilo P. Mandic
Bringing Wearable Sensors into the Classroom: A Participatory Approach [SP Education]. IEEE Signal Process. Mag. 35(3): 110-130 (2018) - [j147]Takashi Nakamura
In-Ear EEG Biometrics for Feasible and Readily Collectable Real-World Person Authentication. IEEE Trans. Inf. Forensics Secur. 13(3): 648-661 (2018) - [j146]Yili Xia
Maximum Likelihood Parameter Estimation of Unbalanced Three-Phase Power Signals. IEEE Trans. Instrum. Meas. 67(3): 569-581 (2018) - [j145]Yili Xia
Augmented Performance Bounds on Strictly Linear and Widely Linear Estimators With Complex Data. IEEE Trans. Signal Process. 66(2): 507-514 (2018) - [j144]Min Xiang
Performance Analysis of Quaternion-Valued Adaptive Filters in Nonstationary Environments. IEEE Trans. Signal Process. 66(6): 1566-1579 (2018) - [j143]Zhe Li
An Augmented Nonlinear LMS for Digital Self-Interference Cancellation in Full-Duplex Direct-Conversion Transceivers. IEEE Trans. Signal Process. 66(15): 4065-4078 (2018) - [j142]Hao Cheng
A Normalized Complex LMS Based Blind I/Q Imbalance Compensator for GFDM Receivers and Its Full Second-Order Performance Analysis. IEEE Trans. Signal Process. 66(17): 4701-4712 (2018) - [c180]Shota Saito, Danilo P. Mandic, Hideyuki Suzuki:
Hypergraph p-Laplacian: A Differential Geometry View. AAAI 2018: 3984-3991 - [c179]Athanasios Konstantinidis, Bruno Scalzo Dees, Giuseppe Giovanni Calvi, Danilo P. Mandic:
Text Mining - A Key Lynchpin in the Investment Process: A Survey. APPIS 2018: 181-193 - [c178]Giuseppe Giovanni Calvi, Ilia Kisil, Danilo P. Mandic:
Feature Fusion via Tensor Network Summation. EUSIPCO 2018: 2623-2627 - [c177]Ilia Kisil, Ahmad Moniri, Danilo P. Mandic:
Tensor Ensemble Learning for Multidimensional Data. GlobalSIP 2018: 1358-1362 - [c176]Apit Hemakom, Valentin Goverdovsky, Danilo P. Mandic:
EAR-EEG for Detecting Inter-Brain Synchronisation in Continuous Cooperative Multi-Person Scenarios. ICASSP 2018: 911-915 - [c175]Bruno Scalzo Dees, Scott C. Douglas
Complementary Complex-Valued Spectrum for Real-Valued Data: Real Time Estimation of the Panorama Through Circularity-Preserving Dft. ICASSP 2018: 3999-4003 - [c174]Scott C. Douglas
Affine-Projection Least-Mean-Magnitude-Phase Algorithms Using a Posteriori Updates. ICASSP 2018: 4154-4158 - [c173]Zhe Li, Wenjiang Pei, Yili Xia, Kai Wang, Danilo P. Mandic:
Widely Linear CLMS Based Cancelation of Nonlinear Self -Interference in Full-Duplex Direct-Conversion Transceivers. ICASSP 2018: 4329-4333 - [c172]Bruno Scalzo Dees, Yili Xia, Scott C. Douglas
Correntropy-Based Adaptive Filtering of Noncircular Complex Data. ICASSP 2018: 4339-4343 - [c171]Ilia Kisil, Giuseppe Giovanni Calvi, Andrzej Cichocki, Danilo P. Mandic:
Common and Individual Feature Extraction Using Tensor Decompositions: a Remedy for the Curse of Dimensionality? ICASSP 2018: 6299-6303 - [c170]Zhe Li, Wei Deng, Wenjiang Pei, Yili Xia, Danilo P. Mandic:
Refreshing Digital Communications Curriculum with RFID Technology: A Participatory Approach. DSP 2018: 1-5 - [c169]Ahmad Moniri, Ilia Kisil, Anthony G. Constantinides, Danilo P. Mandic:
Refreshing DSP Courses through Biopresence in the Curriculum: A Successful Paradigm. DSP 2018: 1-4 - [c168]Takashi Nakamura, Yousef D. Alqurashi
Automatic detection of drowsiness using in-ear EEG. IJCNN 2018: 1-6 - [c167]Milos Brajovic, Ljubisa Stankovic, Milos Dakovic
Additive noise influence on the bivariate two-component signal decomposition. MECO 2018: 1-4 - [i20]Shengxi Li, Zeyang Yu, Danilo P. Mandic:
A universal framework for learning based on the elliptical mixture model (EMM). CoRR abs/1805.08045 (2018) - [i19]Longhao Yuan, Chao Li, Danilo P. Mandic, Jianting Cao, Qibin Zhao:
Rank Minimization on Tensor Ring: A New Paradigm in Scalable Tensor Decomposition and Completion. CoRR abs/1805.08468 (2018) - [i18]Anh Huy Phan, Andrzej Cichocki, Ivan V. Oseledets, Salman Ahmadi-Asl, Giuseppe Giovanni Calvi, Danilo P. Mandic:
Tensor Networks for Latent Variable Analysis: Higher Order Canonical Polyadic Decomposition. CoRR abs/1809.00535 (2018) - [i17]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. CoRR abs/1809.02288 (2018) - 2017
- [j141]Mosabber Uddin Ahmed
A Multivariate Multiscale Fuzzy Entropy Algorithm with Application to Uterine EMG Complexity Analysis. Entropy 19(1): 2 (2017) - [j140]Theerasak Chanwimalueang
Cosine Similarity Entropy: Self-Correlation-Based Complexity Analysis of Dynamical Systems. Entropy 19(12): 652 (2017) - [j139]Andrzej Cichocki, Anh Huy Phan
Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 2 Applications and Future Perspectives. Found. Trends Mach. Learn. 9(6): 431-673 (2017) - [j138]Naveed ur Rehman
Translation invariant multi-scale signal denoising based on goodness-of-fit tests. Signal Process. 131: 220-234 (2017) - [j137]Min Xiang, Clive Cheong Took, Danilo P. Mandic:
Cost-effective quaternion minimum mean square error estimation: From widely linear to four-channel processing. Signal Process. 136: 81-91 (2017) - [j136]Yili Xia, Danilo P. Mandic:
Complementary Mean Square Analysis of Augmented CLMS for Second-Order Noncircular Gaussian Signals. IEEE Signal Process. Lett. 24(9): 1413-1417 (2017) - [j135]Sayed Pouria Talebi
Distributed Particle Filtering of α-Stable Signals. IEEE Signal Process. Lett. 24(12): 1862-1866 (2017) - [j134]Zhe Li, Yili Xia, Wenjiang Pei, Kai Wang, Yongming Huang, Danilo P. Mandic:
Noncircular Measurement and Mitigation of I/Q Imbalance for OFDM-Based WLAN Transmitters. IEEE Trans. Instrum. Meas. 66(3): 383-393 (2017) - [j133]Yili Xia, Danilo P. Mandic:
A Full Mean Square Analysis of CLMS for Second-Order Noncircular Inputs. IEEE Trans. Signal Process. 65(21): 5578-5590 (2017) - [c166]Alexander E. Stott, Sithan Kanna, Danilo P. Mandic, William T. Pike:
An online NIPALS algorithm for Partial Least Squares. ICASSP 2017: 4177-4181 - [c165]Scott C. Douglas
Single-channel Wiener filtering of deterministic signals in stochastic noise using the panorama. ICASSP 2017: 4182-4186 - [c164]Sayed Pouria Talebi
Cost-effective diffusion Kalman filtering with implicit measurement exchanges. ICASSP 2017: 4411-4415 - [c163]Sithan Kanna, Danilo P. Mandic:
Stability of distributed extended Kalman filters. DSP 2017: 1-5 - [c162]Zhe Li, Yili Xia, Wenjiang Pei, Kai Wang, Danilo P. Mandic:
A DFT enhanced complex LMS for digital adaptive spur cancellation. DSP 2017: 1-5 - [c161]Ljubisa Stankovic, Milos Brajovic, Milos Dakovic, Danilo P. Mandic:
Two-component bivariate signal decomposition based on time-frequency analysis. DSP 2017: 1-5 - [c160]Thiernithi Variddhisaï, Danilo P. Mandic:
On an RLS-like LMS adaptive filter. DSP 2017: 1-5 - [c159]Yili Xia, Lulu Qiao, Qi Yang, Wenjiang Pei, Danilo P. Mandic:
Widely linear adaptive frequency estimation for unbalanced three-phase power systems with multiple noisy measurements. DSP 2017: 1-5 - [c158]Min Xiang, Scott C. Douglas
The quaternion least mean magnitude phase adaptive filtering algorithm. DSP 2017: 1-5 - [c157]Takashi Nakamura, Tricia Adjei, Yousef Alqurashi
Complexity science for sleep stage classification from EEG. IJCNN 2017: 4387-4394 - [i16]Thiernithi Variddhisaï, Danilo P. Mandic:
Online Multilinear Dictionary Learning for Sequential Compressive Sensing. CoRR abs/1703.02492 (2017) - [i15]Min Xiang, Shirin Enshaeifar, Alexander Stott, Clive Cheong Took, Yili Xia, Danilo P. Mandic:
Diagonalisation of covariance matrices in quaternion widely linear signal processing. CoRR abs/1705.00058 (2017) - [i14]Takashi Nakamura, Valentin Goverdovsky, Danilo P. Mandic:
In-ear EEG biometrics for feasible and readily collectable real-world person authentication. CoRR abs/1705.03742 (2017) - [i13]Andrzej Cichocki, Anh Huy Phan, Qibin Zhao, Namgil Lee, Ivan V. Oseledets, Masashi Sugiyama, Danilo P. Mandic:
Tensor Networks for Dimensionality Reduction and Large-Scale Optimizations. Part 2 Applications and Future Perspectives. CoRR abs/1708.09165 (2017) - [i12]Zhe Li, Yili Xia, Wenjiang Pei, Kai Wang, Danilo P. Mandic:
An Augmented Nonlinear Complex LMS for Digital Self-Interference Cancellation in Full-Duplex Direct-Conversion Transceivers. CoRR abs/1710.04381 (2017) - [i11]Shota Saito, Danilo P. Mandic, Hideyuki Suzuki:
Hypergraph p-Laplacian: A Differential Geometry View. CoRR abs/1711.08171 (2017) - 2016
- [j132]Youngjoo Kim
Motor Imagery Classification Using Mu and Beta Rhythms of EEG with Strong Uncorrelating Transform Based Complex Common Spatial Patterns. Comput. Intell. Neurosci. 2016: 1489692:1-1489692:13 (2016) - [j131]Andrzej Cichocki, Namgil Lee, Ivan V. Oseledets
Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 1 Low-Rank Tensor Decompositions. Found. Trends Mach. Learn. 9(4-5): 249-429 (2016) - [j130]Yelena Tonoyan, David Looney, Danilo P. Mandic, Marc M. Van Hulle
Discriminating Multiple Emotional States from EEG Using a Data-Adaptive, Multiscale Information-Theoretic Approach. Int. J. Neural Syst. 26(2): 1650005:1-1650005:15 (2016) - [j129]Ali N. Akansu, Dmitry Malioutov, Daniel P. Palomar
Introduction to the Issue on Financial Signal Processing and Machine Learning for Electronic Trading. IEEE J. Sel. Top. Signal Process. 10(6): 979-981 (2016) - [j128]Apit Hemakom, Theerasak Chanwimalueang, Alicia Carrion
Financial Stress Through Complexity Science. IEEE J. Sel. Top. Signal Process. 10(6): 1112-1126 (2016) - [j127]Sithan Kanna, Danilo P. Mandic:
Steady-State Behavior of General Complex-Valued Diffusion LMS Strategies. IEEE Signal Process. Lett. 23(5): 722-726 (2016) - [j126]Dongpo Xu
Optimization in Quaternion Dynamic Systems: Gradient, Hessian, and Learning Algorithms. IEEE Trans. Neural Networks Learn. Syst. 27(2): 249-261 (2016) - [j125]Guoxu Zhou
Group Component Analysis for Multiblock Data: Common and Individual Feature Extraction. IEEE Trans. Neural Networks Learn. Syst. 27(11): 2426-2439 (2016) - [j124]Huisheng Zhang, Danilo P. Mandic:
Is a Complex-Valued Stepsize Advantageous in Complex-Valued Gradient Learning Algorithms? IEEE Trans. Neural Networks Learn. Syst. 27(12): 2730-2735 (2016) - [j123]Sayed Pouria Talebi
A Distributed Quaternion Kalman Filter With Applications to Smart Grid and Target Tracking. IEEE Trans. Signal Inf. Process. over Networks 2(4): 477-488 (2016) - [c156]Zhiqiang Zhang
Blind source separation and artefact cancellation for single channel bioelectrical signal. BSN 2016: 177-182 - [c155]Ehsan Yavari, Ashikur Rahman, Jia Xu, Danilo P. Mandic, Olga Boric-Lubecke:
Synchrosqueezing an effective method for analyzing Doppler radar physiological signals. EMBC 2016: 263-266 - [c154]Apit Hemakom, Valentin Goverdovsky, Lisa Aufegger, Danilo P. Mandic:
Quantifying cooperation in choir singing: Respiratory and cardiac synchronisation. ICASSP 2016: 719-723 - [c153]Theerasak Chanwimalueang, Lisa Aufegger, Wilhelm von Rosenberg, Danilo P. Mandic:
Modelling stress in public speaking: Evolution of stress levels during conference presentations. ICASSP 2016: 814-818 - [c152]Shirin Enshaeifar
Novel quaternion matrix factorisations. ICASSP 2016: 3946-3950 - [c151]Min Xiang, Sithan Kanna, Scott C. Douglas
Performance advantage of quaternion widely linear estimation: An approximate uncorrelating transform approach. ICASSP 2016: 4348-4352 - [c150]Scott C. Douglas
Stability analysis of the least-mean-magnitude-phase algorithm. ICASSP 2016: 4935-4939 - [c149]Sayed Pouria Talebi
A distributed quaternion Kalman filter with applications to fly-by-wire systems. DSP 2016: 30-34 - [c148]Alicia Carrion Garcia
Modelling economic stress through financial systemic balance index. DSP 2016: 565-569 - [c147]Yili Xia, Kai Wang, Wenjiang Pei, Zoran Blazic, Danilo P. Mandic:
A least squares enhanced smart DFT technique for frequency estimation of unbalanced three-phase power systems. IJCNN 2016: 2762-2766 - [i10]Sayed Pouria Talebi, Danilo P. Mandic:
A Quaternion Frequency and Phasor Estimator for Three-Phase Power Distribution Networks. CoRR abs/1603.07653 (2016) - [i9]Andrzej Cichocki, Namgil Lee, Ivan V. Oseledets, Anh Huy Phan, Qibin Zhao, Danilo P. Mandic:
Low-Rank Tensor Networks for Dimensionality Reduction and Large-Scale Optimization Problems: Perspectives and Challenges PART 1. CoRR abs/1609.00893 (2016) - [i8]Anh Huy Phan, Andrzej Cichocki, André Uschmajew, Petr Tichavský, Gheorghe Luta, Danilo P. Mandic:
Tensor Networks for Latent Variable Analysis. Part I: Algorithms for Tensor Train Decomposition. CoRR abs/1609.09230 (2016) - 2015
- [j122]Jonas Duun-Henriksen
EEG Signal Quality of a Subcutaneous Recording System Compared to Standard Surface Electrodes. J. Sensors 2015: 341208:1-341208:9 (2015) - [j121]Dongpo Xu
Convergence analysis of an augmented algorithm for fully complex-valued neural networks. Neural Networks 69: 44-50 (2015) - [j120]Naveed ur Rehman
Multi-Scale Pixel-Based Image Fusion Using Multivariate Empirical Mode Decomposition. Sensors 15(5): 10923-10947 (2015) - [j119]Alireza Ahrabian, David Looney, Ljubisa Stankovic
Synchrosqueezing-based time-frequency analysis of multivariate data. Signal Process. 106: 331-341 (2015) - [j118]Alireza Ahrabian, Danilo P. Mandic:
Selective Time-Frequency Reassignment Based on Synchrosqueezing. IEEE Signal Process. Lett. 22(11): 2039-2043 (2015) - [j117]Felipe A. Tobar, Danilo P. Mandic:
Design of Positive-Definite Quaternion Kernels. IEEE Signal Process. Lett. 22(11): 2117-2121 (2015) - [j116]Andrzej Cichocki
Tensor Decompositions for Signal Processing Applications: From two-way to multiway component analysis. IEEE Signal Process. Mag. 32(2): 145-163 (2015) - [j115]Danilo P. Mandic, Sithan Kanna, Anthony G. Constantinides:
On the Intrinsic Relationship Between the Least Mean Square and Kalman Filters [Lecture Notes]. IEEE Signal Process. Mag. 32(6): 117-122 (2015) - [j114]Syed Muhammad Umer Abdullah
A Multivariate Empirical Mode DecompositionBased Approach to Pansharpening. IEEE Trans. Geosci. Remote. Sens. 53(7): 3974-3984 (2015) - [j113]Yili Xia, Zoran Blazic, Danilo P. Mandic:
Complex-Valued Least Squares Frequency Estimation for Unbalanced Power Systems. IEEE Trans. Instrum. Meas. 64(3): 638-648 (2015) - [j112]Clive Cheong Took, Scott C. Douglas
Maintaining the Integrity of Sources in Complex Learning Systems: Intraference and the Correlation Preserving Transform. IEEE Trans. Neural Networks Learn. Syst. 26(3): 500-509 (2015) - [j111]Yili Xia, Cyrus Jahanchahi, Danilo P. Mandic:
Quaternion-Valued Echo State Networks. IEEE Trans. Neural Networks Learn. Syst. 26(4): 663-673 (2015) - [j110]Yili Xia, Cyrus Jahanchahi, Tohru Nitta, Danilo P. Mandic:
Performance Bounds of Quaternion Estimators. IEEE Trans. Neural Networks Learn. Syst. 26(12): 3287-3292 (2015) - [j109]Sithan Kanna, Dahir H. Dini, Yili Xia, S. Y. Hui
Distributed Widely Linear Kalman Filtering for Frequency Estimation in Power Networks. IEEE Trans. Signal Inf. Process. over Networks 1(1): 45-57 (2015) - [j108]Dongpo Xu
The Theory of Quaternion Matrix Derivatives. IEEE Trans. Signal Process. 63(6): 1543-1556 (2015) - [j107]Alireza Ahrabian, Danilo P. Mandic:
A Class of Multivariate Denoising Algorithms Based on Synchrosqueezing. IEEE Trans. Signal Process. 63(9): 2196-2208 (2015) - [j106]Felipe A. Tobar, Petar M. Djuric
Unsupervised State-Space Modeling Using Reproducing Kernels. IEEE Trans. Signal Process. 63(19): 5210-5221 (2015) - [c146]Wilhelm von Rosenberg, Theerasak Chanwimalueang, Valentin Goverdovsky, Danilo P. Mandic:
Smart helmet: Monitoring brain, cardiac and respiratory activity. EMBC 2015: 1829-1832 - [c145]Yu-Te Wang, Masaki Nakanishi, Simon Lind Kappel
Developing an online steady-state visual evoked potential-based brain-computer interface system using EarEEG. EMBC 2015: 2271-2274 - [c144]Wilhelm von Rosenberg, Theerasak Chanwimalueang, David Looney, Danilo P. Mandic:
Vital signs from inside a helmet: A multichannel face-lead study. ICASSP 2015: 982-986 - [c143]Guoxu Zhou, Andrzej Cichocki
Common components analysis via linked blind source separation. ICASSP 2015: 2150-2154 - [c142]Thiannithi Thanthawaritthisai, Felipe A. Tobar, Anthony G. Constantinides, Danilo P. Mandic:
The widely linear quaternion recursive total least squares. ICASSP 2015: 3357-3361 - [c141]Danilo P. Mandic, Sithan Kanna, Scott C. Douglas
Mean square analysis of the CLMS and ACLMS for non-circular signals: The approximate uncorrelating transform approach. ICASSP 2015: 3531-3535 - [c140]Apit Hemakom, Alireza Ahrabian, David Looney, Naveed ur Rehman
Nonuniformly sampled trivariate empirical mode decomposition. ICASSP 2015: 3691-3695 - [c139]Sayed Pouria Talebi
A quaternion frequency estimator for three-phase power systems. ICASSP 2015: 3956-3960 - [c138]Theerasak Chanwimalueang, Wilhelm von Rosenberg, Danilo P. Mandic:
Enabling R-peak detection in wearable ECG: Combining matched filtering and Hilbert transform. DSP 2015: 134-138 - [c137]Sayed Pouria Talebi
Real-time estimation of quaternion impropriety. DSP 2015: 557-561 - [c136]Sayed Pouria Talebi
A non-linear state space frequency estimator for three-phase power systems. IJCNN 2015: 1-7 - [c135]Sithan Kanna, Min Xiang, Danilo P. Mandic:
Real-time detection of rectilinear sources for wireless communication signals. ISWCS 2015: 541-545 - [c134]Faisal Farooq, David Looney, Danilo P. Mandic, Preben Kidmose
EarEEG based visual P300 Brain-Computer Interface. NER 2015: 98-101 - 2014
- [j105]Min-Sung Koh, Danilo P. Mandic, Anthony G. Constantinides:
Theory of Digital filter banks Realized via multivariate Empirical mode Decomposition. Adv. Data Sci. Adapt. Anal. 6(1) (2014) - [j104]Yih-Fang Huang, Shalinee Kishore, Visa Koivunen, Danilo P. Mandic, Lang Tong:
Introduction to the Issue on Signal Processing in Smart Electric Power Grid. IEEE J. Sel. Top. Signal Process. 8(6): 1019-1021 (2014) - [j103]Cyrus Jahanchahi, Sithan Kanna, Danilo P. Mandic:
Complex dual channel estimation: Cost effective widely linear adaptive filtering. Signal Process. 104: 33-42 (2014) - [j102]Naveed ur Rehman
Dynamically-Sampled Bivariate Empirical Mode Decomposition. IEEE Signal Process. Lett. 21(7): 857-861 (2014) - [j101]Felipe A. Tobar, Danilo P. Mandic:
Quaternion Reproducing Kernel Hilbert Spaces: Existence and Uniqueness Conditions. IEEE Trans. Inf. Theory 60(9): 5736-5749 (2014) - [j100]Bukhari Che Ujang, Cyrus Jahanchahi, Clive Cheong Took, Danilo P. Mandic:
Adaptive Convex Combination Approach for the Identification of Improper Quaternion Processes. IEEE Trans. Neural Networks Learn. Syst. 25(1): 172-182 (2014) - [j99]Felipe A. Tobar, Sun-Yuan Kung, Danilo P. Mandic:
Multikernel Least Mean Square Algorithm. IEEE Trans. Neural Networks Learn. Syst. 25(2): 265-277 (2014) - [j98]Cyrus Jahanchahi, Danilo P. Mandic:
A Class of Quaternion Kalman Filters. IEEE Trans. Neural Networks Learn. Syst. 25(3): 533-544 (2014) - [j97]Akira Hirose, Igor N. Aizenberg, Danilo P. Mandic:
Guest Editorial Special Issue on Complex- and Hypercomplex-Valued Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 25(9): 1597-1599 (2014) - [c133]Yili Xia, Kai Wang, Wenjiang Pei, Danilo P. Mandic:
A balancing voltage transformation for robust frequency estimation in unbalanced power systems. APSIPA 2014: 1-6 - [c132]Felipe A. Tobar, Marcos E. Orchard, Danilo P. Mandic, Anthony G. Constantinides:
Estimation of financial indices volatility using a model with time-varying parameters. CIFEr 2014: 318-324 - [c131]Ling Li
EEG-based brain connectivity analysis of states of unawareness. EMBC 2014: 1002-1005 - [c130]Simon Lind Kappel
A method for quantitative assessment of artifacts in EEG, and an empirical study of artifacts. EMBC 2014: 1686-1690 - [c129]Valentin Goverdovsky, David Looney, Preben Kidmose
Multimodal physiological sensor for motion artefact rejection. EMBC 2014: 2753-2756 - [c128]Scott C. Douglas
Autoconvolution and panorama: Augmenting second-order signal analysis. ICASSP 2014: 384-388 - [c127]Alireza Ahrabian, Danilo P. Mandic:
Estimation of phase synchrony using the synchrosqueezing transform. ICASSP 2014: 759-763 - [c126]David Looney, Valentin Goverdovsky, Preben Kidmose
Subspace denoising of EEG artefacts via multivariate EMD. ICASSP 2014: 4688-4692 - [c125]Sayed Pouria Talebi
A Quaternion Least Mean Phase adaptive estimator. ICASSP 2014: 6419-6423 - [c124]Felipe A. Tobar, Danilo P. Mandic:
A particle filtering based kernel HMM predictor. ICASSP 2014: 7969-7973 - [c123]Cyrus Jahanchahi, Sithan Kanna, Danilo P. Mandic:
A theoretical bound for the performance advantage of quaternion widely linear estimation. DSP 2014: 254-258 - [c122]Clive Cheong Took, Scott C. Douglas
The correlation preserving transform resolves phase ambiguity in complex decorrelating transforms. SAM 2014: 73-76 - [c121]Sithan Kanna, Scott C. Douglas
A real time tracker of complex circularity. SAM 2014: 129-132 - [c120]Yili Xia, Cyrus Jahanchahi, Dongpo Xu
The HC calculus, quaternion derivatives and caylay-hamilton form of quaternion adaptive filters and learning systems. IJCNN 2014: 3395-3401 - [c119]Yelena Tonoyan, David Looney, Danilo P. Mandic, Marc M. Van Hulle:
Predicting subject performance level from EEG signal complexity when engaged in BCI paradigm. MLSP 2014: 1-5 - [p1]David Looney, Preben Kidmose, Mary J. Morrell, Danilo P. Mandic:
Ear-EEG: Continuous Brain Monitoring. Brain-Computer Interface Research (3) 2014: 63-71 - [i7]Andrzej Cichocki, Danilo P. Mandic, Anh Huy Phan, Cesar F. Caiafa, Guoxu Zhou, Qibin Zhao, Lieven De Lathauwer:
Tensor Decompositions for Signal Processing Applications From Two-way to Multiway Component Analysis. CoRR abs/1403.4462 (2014) - [i6]Dongpo Xu, Danilo P. Mandic:
Quaternion Gradient and Hessian. CoRR abs/1406.3587 (2014) - [i5]Sithan Kanna, Dahir H. Dini, Yili Xia, Ron Shu-Yuen Hui, Danilo P. Mandic:
Distributed Widely Linear Frequency Estimation in Unbalanced Three Phase Power Systems. CoRR abs/1410.0617 (2014) - 2013
- [j96]Naveed ur Rehman
Emd via mEMD: multivariate noise-Aided Computation of Standard EMD. Adv. Data Sci. Adapt. Anal. 5(2) (2013) - [j95]Bo Peng, Wei Liu
Design of oversampled generalised discrete Fourier transform filter banks for application to subband-based blind source separation. IET Signal Process. 7(9): 843-853 (2013) - [j94]Qibin Zhao, Cesar F. Caiafa
Higher Order Partial Least Squares (HOPLS): A Generalized Multilinear Regression Method. IEEE Trans. Pattern Anal. Mach. Intell. 35(7): 1660-1673 (2013) - [j93]Cyrus Jahanchahi, Clive Cheong Took, Danilo P. Mandic:
A class of quaternion valued affine projection algorithms. Signal Process. 93(7): 1712-1723 (2013) - [j92]Jesús Navarro-Moreno, Rosa M. Fernández-Alcalá
Prediction of wide-sense stationary quaternion random signals. Signal Process. 93(9): 2573-2580 (2013) - [j91]Alireza Ahrabian, Naveed ur Rehman
Bivariate Empirical Mode Decomposition for Unbalanced Real-World Signals. IEEE Signal Process. Lett. 20(3): 245-248 (2013) - [j90]Pablo Aguilera, Sergio Cruces
Blind Separation of Dependent Sources With a Bounded Component Analysis Deflationary Algorithm. IEEE Signal Process. Lett. 20(7): 709-712 (2013) - [j89]Danilo P. Mandic, Naveed ur Rehman
Empirical Mode Decomposition-Based Time-Frequency Analysis of Multivariate Signals: The Power of Adaptive Data Analysis. IEEE Signal Process. Mag. 30(6): 74-86 (2013) - [j88]Preben Kidmose
A Study of Evoked Potentials From Ear-EEG. IEEE Trans. Biomed. Eng. 60(10): 2824-2830 (2013) - [j87]Dahir H. Dini, Danilo P. Mandic:
Widely Linear Modeling for Frequency Estimation in Unbalanced Three-Phase Power Systems. IEEE Trans. Instrum. Meas. 62(2): 353-363 (2013) - [j86]Yili Xia, Danilo P. Mandic:
Augmented MVDR Spectrum-Based Frequency Estimation for Unbalanced Power Systems. IEEE Trans. Instrum. Meas. 62(7): 1917-1926 (2013) - [j85]Dahir H. Dini, Petar M. Djuric
The Augmented Complex Particle Filter. IEEE Trans. Signal Process. 61(17): 4341-4346 (2013) - [c118]Preben Kidmose
Ear-EEG from generic earpieces: A feasibility study. EMBC 2013: 543-546 - [c117]Tomasz M. Rutkowski
EEG epileptic seizures separation with multivariate empirical mode decomposition for diagnostic purposes. EMBC 2013: 7128-7131 - [c116]Cyrus Jahanchahi, Danilo P. Mandic:
An adaptive diffusion quaternion LMS algorithm for distributed networks of 3D and 4D vector sensors. EUSIPCO 2013: 1-5 - [c115]Clive Cheong Took, Scott C. Douglas
On intraference and its implications in complex-valued signal processing. ICASSP 2013: 3934-3937 - [c114]Felipe A. Tobar, Danilo P. Mandic:
The quaternion kernel least squares. ICASSP 2013: 6128-6132 - [c113]Wenjun Er, Danilo P. Mandic:
Dynamical complexity analysis of multivariate financial data. ICASSP 2013: 8732-8736 - [c112]Dahir H. Dini, Danilo P. Mandic:
Exploiting Sparsity in Widely Linear Estimation. ISWCS 2013: 1-5 - [i4]Hiromu Mori, Yoshihiro Matsumoto, Zbigniew R. Struzik, Koichi Mori, Shoji Makino, Danilo P. Mandic, Tomasz M. Rutkowski:
Multi-command Tactile and Auditory Brain Computer Interface based on Head Position Stimulation. CoRR abs/1301.6357 (2013) - [i3]Moonjeong Chang, Nozomu Nishikawa, Zbigniew R. Struzik, Koichi Mori, Shoji Makino, Danilo P. Mandic, Tomasz M. Rutkowski:
Comparison of P300 Responses in Auditory, Visual and Audiovisual Spatial Speller BCI Paradigms. CoRR abs/1301.6360 (2013) - [i2]Dahir H. Dini, Sithan Kanna, Danilo P. Mandic:
Distributed Widely Linear Complex Kalman Filtering. CoRR abs/1311.4369 (2013) - 2012
- [j84]Bo Peng, Wei Liu
Reducing permutation error in subband-based convolutive blind separation. IET Signal Process. 6(1): 34-44 (2012) - [j83]Dahir H. Dini, Cyrus Jahanchahi, Danilo P. Mandic:
Kalman filtering for widely linear complex and quaternion valued bearings only tracking. IET Signal Process. 6(5): 435-445 (2012) - [j82]Ling Li
Modelling of brain consciousness based on collaborative adaptive filters. Neurocomputing 76(1): 36-43 (2012) - [j81]Alireza Ahrabian, Clive Cheong Took, Danilo P. Mandic:
Algorithmic Trading Using Phase Synchronization. IEEE J. Sel. Top. Signal Process. 6(4): 399-403 (2012) - [j80]Beth Jelfs
An adaptive approach for the identification of improper complex signals. Signal Process. 92(2): 335-344 (2012) - [j79]Mosabber Uddin Ahmed
Multivariate Multiscale Entropy Analysis. IEEE Signal Process. Lett. 19(2): 91-94 (2012) - [j78]Yili Xia, Scott C. Douglas
Adaptive Frequency Estimation in Smart Grid Applications: Exploiting Noncircularity and Widely Linear Adaptive Estimators. IEEE Signal Process. Mag. 29(5): 44-54 (2012) - [j77]Yili Xia, Danilo P. Mandic:
Widely Linear Adaptive Frequency Estimation of Unbalanced Three-Phase Power Systems. IEEE Trans. Instrum. Meas. 61(1): 74-83 (2012) - [j76]Marco Leo
Identification of Defective Areas in Composite Materials by Bivariate EMD Analysis of Ultrasound. IEEE Trans. Instrum. Meas. 61(1): 221-232 (2012) - [j75]Dahir H. Dini, Danilo P. Mandic:
Class of Widely Linear Complex Kalman Filters. IEEE Trans. Neural Networks Learn. Syst. 23(5): 775-786 (2012) - [j74]Clive Cheong Took, Scott C. Douglas
On Approximate Diagonalization of Correlation Matrices in Widely Linear Signal Processing. IEEE Trans. Signal Process. 60(3): 1469-1473 (2012) - [c111]Danilo P. Mandic, Ali H. Sayed:
Session TP2b: Cooperative adaptation and learning (invited). ACSCC 2012: 1501-1502 - [c110]Dahir H. Dini, Danilo P. Mandic:
Cooperative adaptive estimation of distributed noncircular complex signals. ACSCC 2012: 1518-1522 - [c109]Preben Kidmose
Auditory evoked responses from Ear-EEG recordings. EMBC 2012: 586-589 - [c108]Ling Li
Phase-based brain consciousness analysis. EMBC 2012: 1032-1035 - [c107]Anh Huy Phan
On Revealing Replicating Structures in Multiway Data: A Novel Tensor Decomposition Approach. LVA/ICA 2012: 297-305 - [c106]Bukhari Che Ujang, Clive Cheong Took, Danilo P. Mandic:
On quaternion analyticity: Enabling quaternion-valued nonlinear adaptive filtering. ICASSP 2012: 2117-2120 - [c105]Scott C. Douglas
A family of least-squares magnitude phase algorithms. ICASSP 2012: 3769-3772 - [c104]Cyrus Jahanchahi, Clive Cheong Took, Danilo P. Mandic:
On gradient calculation in quaternion adaptive filtering. ICASSP 2012: 3773-3776 - [c103]Mosabber Uddin Ahmed
Multivariate entropy analysis with data-driven scales. ICASSP 2012: 3901-3904 - [c102]Dahir H. Dini, Yili Xia, Scott C. Douglas
Widely linear state space models for frequency estimation in unbalanced three-phase systems. SAM 2012: 9-12 - [c101]Felipe A. Tobar, Anthony Kuh, Danilo P. Mandic:
A novel augmented complex valued kernel LMS. SAM 2012: 473-476 - [i1]Qibin Zhao, Cesar F. Caiafa, Danilo P. Mandic, Zenas C. Chao, Yasuo Nagasaka, Naotaka Fujii, Liqing Zhang, Andrzej Cichocki:
Higher-Order Partial Least Squares (HOPLS): A Generalized Multi-Linear Regression Method. CoRR abs/1207.1230 (2012) - 2011
- [j73]Tomasz M. Rutkowski
Emotional empathy transition patterns from human brain responses in interactive communication situations - Brain-computer and machine interactive interfacing approach. AI Soc. 26(3): 301-315 (2011) - [j72]Clive Cheong Took, Danilo P. Mandic, Fuzhen Zhang
On the unitary diagonalisation of a special class of quaternion matrices. Appl. Math. Lett. 24(11): 1806-1809 (2011) - [j71]Tomasz M. Rutkowski
Interactive component extraction from fEEG, fNIRS and peripheral biosignals for affective brain-machine interfacing paradigms. Comput. Hum. Behav. 27(5): 1512-1518 (2011) - [j70]Cheolsoo Park, David Looney, Marc M. Van Hulle, Danilo P. Mandic:
The complex local mean decomposition. Neurocomputing 74(6): 867-875 (2011) - [j69]Clive Cheong Took, Danilo P. Mandic:
Augmented second-order statistics of quaternion random signals. Signal Process. 91(2): 214-224 (2011) - [j68]Danilo P. Mandic, Cyrus Jahanchahi, Clive Cheong Took:
A Quaternion Gradient Operator and Its Applications. IEEE Signal Process. Lett. 18(1): 47-50 (2011) - [j67]Dahir H. Dini, Danilo P. Mandic, Simon J. Julier:
A Widely Linear Complex Unscented Kalman Filter. IEEE Signal Process. Lett. 18(11): 623-626 (2011) - [j66]Yili Xia, Danilo P. Mandic, Ali H. Sayed:
An Adaptive Diffusion Augmented CLMS Algorithm for Distributed Filtering of Noncircular Complex Signals. IEEE Signal Process. Lett. 18(11): 659-662 (2011) - [j65]Yili Xia, Beth Jelfs
An Augmented Echo State Network for Nonlinear Adaptive Filtering of Complex Noncircular Signals. IEEE Trans. Neural Networks 22(1): 74-83 (2011) - [j64]Bukhari Che Ujang, Clive Cheong Took, Danilo P. Mandic:
Quaternion-Valued Nonlinear Adaptive Filtering. IEEE Trans. Neural Networks 22(8): 1193-1206 (2011) - [j63]Soroush Javidi, Clive Cheong Took, Danilo P. Mandic:
Fast Independent Component Analysis Algorithm for Quaternion Valued Signals. IEEE Trans. Neural Networks 22(12): 1967-1978 (2011) - [j62]Naveed ur Rehman
Filter Bank Property of Multivariate Empirical Mode Decomposition. IEEE Trans. Signal Process. 59(5): 2421-2426 (2011) - [c100]Clive Cheong Took, Cyrus Jahanchahi, Danilo P. Mandic:
A unifying framework for the analysis of quaternion valued adaptive filters. ACSCC 2011: 1771-1774 - [c99]Ling Li
Power independent EMG based gesture recognition for robotics. EMBC 2011: 793-796 - [c98]Mosabber Uddin Ahmed
Multivariate multiscale entropy for brain consciousness analysis. EMBC 2011: 810-813 - [c97]Cheolsoo Park, David Looney, Danilo P. Mandic:
Estimating human response to taste using EEG. EMBC 2011: 6331-6334 - [c96]David Looney, Cheolsoo Park, Preben Kidmose
An in-the-ear platform for recording electroencephalogram. EMBC 2011: 6882-6885 - [c95]Yili Xia, Ling Li
A collaborative filtering approach for quasi-brain-death EEG analysis. ICASSP 2011: 645-648 - [c94]Soroush Javidi, Clive Cheong Took, Cyrus Jahanchahi, Nicolas Le Bihan
Blind extraction of improper quaternion sources. ICASSP 2011: 3708-3711 - [c93]David Looney, Danilo P. Mandic:
Augmented complex matrix factorisation. ICASSP 2011: 4072-4075 - [c92]Scott C. Douglas
The least-mean-magnitude-phase algorithm with applications to communications systems. ICASSP 2011: 4152-4155 - [c91]Yili Xia, Scott C. Douglas
Widely linear adaptive frequency estimation in three-phase power systems under unbalanced voltage sag conditions. IJCNN 2011: 1700-1705 - [c90]Mingxuan Wang, Clive Cheong Took, Danilo P. Mandic:
A class of fast quaternion valued variable stepsize stochastic gradient learning algorithms for vector sensor processes. IJCNN 2011: 2783-2786 - [c89]Qibin Zhao, Cesar F. Caiafa, Danilo P. Mandic, Liqing Zhang, Tonio Ball, Andreas Schulze-Bonhage, Andrzej Cichocki:
Multilinear Subspace Regression: An Orthogonal Tensor Decomposition Approach. NIPS 2011: 1269-1277 - 2010
- [j61]Christos Boukis, Danilo P. Mandic, Anthony G. Constantinides, Lazaros Polymenakos:
A modified Armijo rule for the online selection of learning rate of the LMS algorithm. Digit. Signal Process. 20(3): 630-639 (2010) - [j60]Tomasz M. Rutkowski
Emd Approach to Multichannel EEG Data - the amplitude and Phase Components Clustering Analysis. J. Circuits Syst. Comput. 19(1): 215-229 (2010) - [j59]Bukhari Che Ujang, Clive Cheong Took, Danilo P. Mandic:
Split quaternion nonlinear adaptive filtering. Neural Networks 23(3): 426-434 (2010) - [j58]Yili Xia, Clive Cheong Took, Danilo P. Mandic:
An augmented affine projection algorithm for the filtering of noncircular complex signals. Signal Process. 90(6): 1788-1799 (2010) - [j57]Wai Yie Leong
Noisy Component Extraction (NoiCE). IEEE Trans. Circuits Syst. I Regul. Pap. 57-I(3): 664-671 (2010) - [j56]Soroush Javidi, Danilo P. Mandic, Andrzej Cichocki
Complex Blind Source Extraction From Noisy Mixtures Using Second-Order Statistics. IEEE Trans. Circuits Syst. I Regul. Pap. 57-I(7): 1404-1416 (2010) - [j55]Naveed ur Rehman
Empirical mode decomposition for trivariate signals. IEEE Trans. Signal Process. 58(3): 1059-1068 (2010) - [j54]Clive Cheong Took, Danilo P. Mandic:
Quaternion-valued stochastic gradient-based adaptive IIR filtering. IEEE Trans. Signal Process. 58(7): 3895-3901 (2010) - [j53]Clive Cheong Took, Danilo P. Mandic:
A quaternion widely linear adaptive filter. IEEE Trans. Signal Process. 58(8): 4427-4431 (2010) - [j52]Beth Jelfs
Characterisation of Signal Modality: Exploiting Signal Nonlinearity in Machine Learning and Signal Processing. J. Signal Process. Syst. 61(1): 105-115 (2010) - [c88]Marco Leo
Defective Areas Identification in Aircraft Components by Bivariate EMD Analysis of Ultrasound Signals. ANNPR 2010: 219-230 - [c87]Cyrus Jahanchahi, Clive Cheong Took, Danilo P. Mandic:
The widely linear quaternion recursive least squares filter. CIP 2010: 87-92 - [c86]Mosabber Uddin Ahmed, Danilo P. Mandic:
Image fusion based on Fast and Adaptive Bidimensional Empirical Mode Decomposition. FUSION 2010: 1-6 - [c85]Scott C. Douglas
Performance analysis of the conventional complex LMS and augmented complex LMS algorithms. ICASSP 2010: 3794-3797 - [c84]Qi-Wei Shi, Wei Zhou, Jianting Cao, Danilo P. Mandic, Toshihisa Tanaka, Tomasz M. Rutkowski
An Auditory Oddball Based Brain-Computer Interface System Using Multivariate EMD. ICIC (2) 2010: 140-148 - [c83]Cyrus Jahanchahi, Clive Cheong Took, Danilo P. Mandic:
On HR calculus, quaternion valued stochastic gradient, and adaptive three dimensional wind forecasting. IJCNN 2010: 1-5 - [c82]David Looney, Cheolsoo Park, Yili Xia, Preben Kidmose
Towards estimating selective auditory attention from EEG using a novel time-frequency-synchronisation framework. IJCNN 2010: 1-5 - [c81]Naveed ur Rehman
Quadrivariate Empirical Mode Decomposition. IJCNN 2010: 1-7 - [c80]Clive Cheong Took, Danilo P. Mandic, Kazuyuki Aihara:
Quaternion-valued short term forecasting of wind profile. IJCNN 2010: 1-6 - [c79]Bukhari Che Ujang, Clive Cheong Took, Danilo P. Mandic:
Identification of improper processes by variable tap-length complex-valued adaptive filters. IJCNN 2010: 1-6 - [c78]Yili Xia, Soroush Javidi, Danilo P. Mandic:
A Regularised Normalised Augmented Complex Least Mean Square algorithm. ISWCS 2010: 355-359
2000 – 2009
- 2009
- [j51]Christos Boukis, Danilo P. Mandic, Anthony G. Constantinides:
A class of stochastic gradient algorithms with exponentiated error cost functions. Digit. Signal Process. 19(2): 201-212 (2009) - [j50]Clive Cheong Took, Danilo P. Mandic:
The Quaternion LMS Algorithm for Adaptive Filtering of Hypercomplex Processes. IEEE Trans. Signal Process. 57(4): 1316-1327 (2009) - [j49]David Looney, Danilo P. Mandic:
Multiscale Image Fusion Using Complex Extensions of EMD. IEEE Trans. Signal Process. 57(4): 1626-1630 (2009) - [j48]Clive Cheong Took, Danilo P. Mandic:
Adaptive IIR filtering of noncircular complex signals. IEEE Trans. Signal Process. 57(10): 4111-4118 (2009) - [c77]Tomasz M. Rutkowski
Multichannel spectral pattern separation - An EEG processing application -. ICASSP 2009: 373-376 - [c76]Danilo P. Mandic, Susanne Still, Scott C. Douglas
Duality between widely linear and dual channel adaptive filtering. ICASSP 2009: 1729-1732 - [c75]Bukhari Che Ujang, Clive Cheong Took, Aleksandar Kavcic, Danilo P. Mandic:
A split quaternion nonlinear adaptive filter. ICASSP 2009: 1745-1748 - [c74]Clive Cheong Took, Danilo P. Mandic, Jacob Benesty
Study of the quaternion LMS and four-channel LMS algorithms. ICASSP 2009: 3109-3112 - [c73]Naveed ur Rehman
Qualitative analysis of rotational modes within three dimensional empirical mode decomposition. ICASSP 2009: 3449-3452 - [c72]Anthony Kuh, Danilo P. Mandic:
Applications of complex augmented kernels to wind profile prediction. ICASSP 2009: 3581-3584 - [c71]David Looney, Naveed ur Rehman
Conditioning multimodal information for smart environments. ICDSC 2009: 1-8 - [c70]Danilo P. Mandic:
Complex valued recurrent neural networks for noncircular complex signals. IJCNN 2009: 1987-1992 - [c69]Xiujie Huang, Aleksandar Kavcic, Xiao Ma, Danilo P. Mandic:
Upper bounds on the capacities of non-controllable finite-state channels using dynamic programming methods. ISIT 2009: 2346-2350 - 2008
- [j47]Danilo P. Mandic, Phebe Vayanos, Mo Chen, Su Lee Goh:
Online Detection of the Modality of Complex-Valued Real World Signals. Int. J. Neural Syst. 18(2): 67-74 (2008) - [j46]Deniz Erdogmus, Danilo P. Mandic, Toshihisa Tanaka
Advances in blind signal processing. Neurocomputing 71(10-12): 2069-2070 (2008) - [j45]Wai Yie Leong
Blind source extraction: Standard approaches and extensions to noisy and post-nonlinear mixing. Neurocomputing 71(10-12): 2344-2355 (2008) - [j44]Maciej Pedzisz, Danilo P. Mandic:
A Homomorphic Neural Network for Modeling and Prediction. Neural Comput. 20(4): 1042-1064 (2008) - [j43]Danilo P. Mandic, Wlodzislaw Duch
Preface. Neural Networks 21(6): 797-798 (2008) - [j42]Wai Yie Leong
Post-Nonlinear Blind Extraction in the Presence of Ill-Conditioned Mixing. IEEE Trans. Circuits Syst. I Regul. Pap. 55-I(9): 2631-2638 (2008) - [j41]Mo Chen, Temujin Gautama, Danilo P. Mandic:
An Assessment of Qualitative Performance of Machine Learning Architectures: Modular Feedback Networks. IEEE Trans. Neural Networks 19(1): 183-189 (2008) - [c68]David Looney, Danilo P. Mandic:
A machine learning enhanced empirical mode decomposition. ICASSP 2008: 1897-1900 - [c67]Mo Chen, Danilo P. Mandic, Preben Kidmose
Qualitative assessment of intrinsic mode functions of empirical mode decomposition. ICASSP 2008: 1905-1908 - [c66]Wai Yie Leong
Cascaded approach for microsleep data extraction. ICASSP 2008: 2045-2048 - [c65]Danilo P. Mandic, Phebe Vayanos, Soroush Javidi, Beth Jelfs
Online tracking of the degree of nonlinearity within complex signals. ICASSP 2008: 2061-2064 - [c64]David Looney, Danilo P. Mandic:
Fusion of visual and thermal images using complex extension of EMD. ICDSC 2008: 1-8 - [c63]Tomasz M. Rutkowski
EMD Approach to Multichannel EEG Data - The Amplitude and Phase Synchrony Analysis Technique. ICIC (1) 2008: 122-129 - [c62]Tomasz M. Rutkowski
Clustering of Spectral Patterns Based on EMD Components of EEG Channels with Applications to Neurophysiological Signals Separation. ICONIP (1) 2008: 453-460 - 2007
- [j40]Su Lee Goh, Danilo P. Mandic:
An Augmented Extended Kalman Filter Algorithm for Complex-Valued Recurrent Neural Networks. Neural Comput. 19(4): 1039-1055 (2007) - [j39]Su Lee Goh, Danilo P. Mandic:
An augmented CRTRL for complex-valued recurrent neural networks. Neural Networks 20(10): 1061-1066 (2007) - [j38]Ramaswamy Palaniappan
Biometrics from Brain Electrical Activity: A Machine Learning Approach. IEEE Trans. Pattern Anal. Mach. Intell. 29(4): 738-742 (2007) - [j37]Toshihisa Tanaka
Complex Empirical Mode Decomposition. IEEE Signal Process. Lett. 14(2): 101-104 (2007) - [j36]Wei Liu
Analysis and Online Realization of the CCA Approach for Blind Source Separation. IEEE Trans. Neural Networks 18(5): 1505-1510 (2007) - [j35]Su Lee Goh, Danilo P. Mandic:
Stochastic Gradient-Adaptive Complex-Valued Nonlinear Neural Adaptive Filters With a Gradient-Adaptive Step Size. IEEE Trans. Neural Networks 18(5): 1511-1516 (2007) - [j34]Danilo P. Mandic, Su Lee Goh, Kazuyuki Aihara:
Sequential Data Fusion via Vector Spaces: Fusion of Heterogeneous Data in the Complex Domain. J. VLSI Signal Process. 48(1-2): 99-108 (2007) - [j33]Ramaswamy Palaniappan
EEG Based Biometric Framework for Automatic Identity Verification. J. VLSI Signal Process. 49(2): 243-250 (2007) - [j32]Tomasz M. Rutkowski
A Multimodal Approach to Communicative Interactivity Classification. J. VLSI Signal Process. 49(2): 317-328 (2007) - [j31]Martin Golz, David Sommer, Mo Chen, Udo Trutschel, Danilo P. Mandic:
Feature Fusion for the Detection of Microsleep Events. J. VLSI Signal Process. 49(2): 329-342 (2007) - [c61]Tomasz M. Rutkowski
Modelling the Communication Atmosphere: A Human Centered Multimedia Approach to Evaluate Communicative Situations. Artifical Intelligence for Human Computing 2007: 155-169 - [c60]Wai Yie Leong
Blind Extraction of Noisy Events using Nonlinear Predictor. ICASSP (2) 2007: 657-660 - [c59]Danilo P. Mandic, Phebe Vayanos, Christos Boukis, Beth Jelfs
Collaborative Adaptive Learning using Hybrid Filters. ICASSP (3) 2007: 921-924 - [c58]Muhammad Altaf, Temujin Gautama, Toshihisa Tanaka, Danilo P. Mandic:
Rotation Invariant Complex Empirical Mode Decomposition. ICASSP (3) 2007: 1009-1012 - [c57]Beth Jelfs
A Class of Adaptively Regularised PNLMS Algorithms. DSP 2007: 19-22 - [c56]Christos Boukis, Danilo P. Mandic, Anthony G. Constantinides:
A Generalised Mixed Norm Stochastic Gradient Algorithm. DSP 2007: 27-30 - [c55]Beth Jelfs
A Unifying Approach to the Derivation of the Class of PNLMS Algorithms. DSP 2007: 35-38 - [c54]David Looney, Danilo P. Mandic, Tomasz M. Rutkowski
Regularised Adaptive Fir Filters for Image Denoising. DSP 2007: 55-58 - [c53]George Souretis, Danilo P. Mandic, Massimo Grisseli, Toshihisa Tanaka, Marc M. Van Hulle:
Blood Volume Signal Analysis with Empirical Mode Decomposition. DSP 2007: 147-150 - [c52]Wai Yie Leong
Blind Extraction of Microsleep Events. DSP 2007: 207-210 - [c51]Wai Yie Leong
Noisy Component Extraction (Noice). ISCAS 2007: 3243-3246 - [c50]Phebe Vayanos, Mo Chen, Beth Jelfs
Exploiting Nonlinearity in Adaptive Signal Processing. NOLISP 2007: 57-77 - [c49]Armelle Wautier, Lionel Husson, Ionut-Dan Plai, Danilo P. Mandic:
Algorithms for BER-Constrained Variable-Length Equalizers driven by Channel Response Knowledge over Frequency-Selective Radio Channel. VTC Spring 2007: 1761-1765 - [e2]Joaquim Marques de Sá, Luís A. Alexandre, Wlodzislaw Duch, Danilo P. Mandic:
Artificial Neural Networks - ICANN 2007, 17th International Conference, Porto, Portugal, September 9-13, 2007, Proceedings, Part I. Lecture Notes in Computer Science 4668, Springer 2007, ISBN 978-3-540-74689-8 [contents] - [e1]Joaquim Marques de Sá, Luís A. Alexandre, Wlodzislaw Duch, Danilo P. Mandic:
Artificial Neural Networks - ICANN 2007, 17th International Conference, Porto, Portugal, September 9-13, 2007, Proceedings, Part II. Lecture Notes in Computer Science 4669, Springer 2007, ISBN 978-3-540-74693-5 [contents] - 2006
- [j30]Wai Yie Leong
An Implementation of Nonlinear Multiuser Detection in Rayleigh Fading Channel. EURASIP J. Wirel. Commun. Netw. 2006 (2006) - [j29]Wei Liu
A normalised kurtosis-based algorithm for blind source extraction from noisy measurements. Signal Process. 86(7): 1580-1585 (2006) - [j28]Christos Boukis, Danilo P. Mandic, Anthony G. Constantinides, Lazaros C. Polymenakos:
A novel algorithm for the adaptation of the pole of Laguerre filters. IEEE Signal Process. Lett. 13(7): 429-432 (2006) - [j27]Wei Liu
Blind Second-Order Source Extraction of Instantaneous Noisy Mixtures. IEEE Trans. Circuits Syst. II Express Briefs 53-II(9): 931-935 (2006) - [j26]Allan Kardec Barros
Introductory Note. J. VLSI Signal Process. 45(1-2): 5-6 (2006) - [c48]André Borges Cavalcante, Danilo P. Mandic, Tomasz M. Rutkowski
Speech Enhancement Based on the Response Features of Facilitated EI Neurons. ICA 2006: 585-592 - [c47]Su Lee Goh, Danilo P. Mandic:
An Augmented Extended Kalman Filter Algorithm for Complex-Valued Recurrent Neural Networks. ICASSP (5) 2006: 561-564 - [c46]Wei Liu
A Normalised Kurtosis Based Blind Source Extraction Algorithm for Noisy Mixtures. ICASSP (5) 2006: 641-644 - [c45]Anthony Kuh, Danilo P. Mandic:
Sequential Detection Using Least Squares Temporal Difference Methods. ICASSP (5) 2006: 701-704 - [c44]Wei Liu
An analysis of the CCA approach for blind source separation and its adaptive realization. ISCAS 2006 - [c43]Wei Liu
Blind source extraction of instantaneous noisy mixtures using a linear predictor. ISCAS 2006 - [c42]Beth Jelfs
An Online Method for Detecting Nonlinearity Within a Signal. KES (3) 2006: 1216-1223 - [c41]Tomasz M. Rutkowski, François B. Vialatte, Andrzej Cichocki, Danilo P. Mandic, Allan Kardec Barros
Auditory Feedback for Brain Computer Interface Management - An EEG Data Sonification Approach. KES (3) 2006: 1232-1239 - [c40]Yoshikazu Washizawa, Toshihisa Tanaka, Danilo P. Mandic, Andrzej Cichocki:
A Flexible Method for Envelope Estimation in Empirical Mode Decomposition. KES (3) 2006: 1248-1255 - [c39]Anthony Kuh, Chaopin Zhu, Danilo P. Mandic:
Sensor Network Localization Using Least Squares Kernel Regression. KES (3) 2006: 1280-1287 - [c38]Mo Chen, David Sommer, Su Lee Goh, Temujin Gautama, Dragan Obradovic, Martin Golz, Mary J. Morrell, Hui Wang, Danilo P. Mandic:
A Novel Tool for Sequential Fusion of Nonlinear Features: A Sleep Psychology Application. MFI 2006: 474-478 - 2005
- [j25]Su Lee Goh, Danilo P. Mandic:
Nonlinear adaptive prediction of complex-valued signals by complex-valued PRNN. IEEE Trans. Signal Process. 53(5): 1827-1836 (2005) - [c37]Danilo P. Mandic, Dragan Obradovic, Anthony Kuh, Tülay Adali, Udo Trutschel, Martin Golz, Philippe De Wilde
Data Fusion for Modern Engineering Applications: An Overview. ICANN (2) 2005: 715-721 - [c36]Ramaswamy Palaniappan, Danilo P. Mandic:
Energy of Brain Potentials Evoked During Visual Stimulus: A New Biometric? ICANN (2) 2005: 735-740 - [c35]Tomasz M. Rutkowski, Danilo P. Mandic:
Communicative Interactivity - A Multimodal Communicative Situation Classification Approach. ICANN (2) 2005: 741-746 - [c34]David Sommer, Mo Chen, Martin Golz, Udo Trutschel, Danilo P. Mandic:
Fusion of State Space and Frequency- Domain Features for Improved Microsleep Detection. ICANN (2) 2005: 753-759 - [c33]Su Lee Goh, Danilo P. Mandic:
A class of gradient-adaptive step size algorithms for complex-valued nonlinear neural adaptive filters. ICASSP (5) 2005: 253-256 - [c32]Wei Liu
Semi-blind source separation for convolutive mixtures based on frequency invariant transformation. ICASSP (5) 2005: 285-288 - [c31]Mo Chen, Danilo P. Mandic, Temujin Gautama, Marc M. Van Hulle:
On nonlinear modular neural filters. ICASSP (5) 2005: 317-320 - [c30]Wei Liu
A class of novel blind source extraction algorithms based on a linear predictor. ISCAS (4) 2005: 3599-3602 - 2004
- [j24]Gavin C. Cawley, Nicola L. C. Talbot, Robert J. Foxall, Stephen R. Dorling, Danilo P. Mandic:
Heteroscedastic kernel ridge regression. Neurocomputing 57: 105-124 (2004) - [j23]Temujin Gautama, Danilo P. Mandic, Marc M. Van Hulle:
A non-parametric test for detecting the complex-valued nature of time series. Int. J. Knowl. Based Intell. Eng. Syst. 8(2): 99-106 (2004) - [j22]Su Lee Goh, Danilo P. Mandic:
A Complex-Valued RTRL Algorithm for Recurrent Neural Networks. Neural Comput. 16(12): 2699-2713 (2004) - [j21]Maria G. Jafari, Jonathon A. Chambers, Danilo P. Mandic:
A novel adaptive learning rate sequential blind source separation algorithm. Signal Process. 84(4): 801-804 (2004) - [j20]Danilo P. Mandic:
A generalized normalized gradient descent algorithm. IEEE Signal Process. Lett. 11(2): 115-118 (2004) - [j19]Temujin Gautama, Danilo P. Mandic, Marc M. Van Hulle:
A novel method for determining the nature of time series. IEEE Trans. Biomed. Eng. 51(5): 728-736 (2004) - [c29]Mo Chen, Danilo P. Mandic:
Quality assessment of hybrid nonlinear filters. ICASSP (5) 2004: 785-788 - 2003
- [j18]Andrew I. Hanna, Danilo P. Mandic:
On "an improved approach for nonlinear system identification using neural networks". J. Frankl. Inst. 340(5): 363-370 (2003) - [j17]Andrew I. Hanna, Danilo P. Mandic:
A complex-valued nonlinear neural adaptive filter with a gradient adaptive amplitude of the activation function. Neural Networks 16(2): 155-159 (2003) - [j16]Su Lee Goh, Danilo P. Mandic:
Recurrent neural networks with trainable amplitude of activation functions. Neural Networks 16(8): 1095-1100 (2003) - [j15]Andrew I. Hanna, Danilo P. Mandic:
A Data Reusing Nonlinear Gradient Descent Algorithm for a Class of Complex Valued Neural Adaptive Filters. Neural Process. Lett. 17(1): 85-91 (2003) - [j14]Temujin Gautama, Danilo P. Mandic, Marc M. Van Hulle:
Signal Nonlinearity in fMRI: A Comparison between BOLD and MION. IEEE Trans. Medical Imaging 22(5): 636-644 (2003) - [j13]Andrew I. Hanna, Danilo P. Mandic:
A fully adaptive normalized nonlinear gradient descent algorithm for complex-valued nonlinear adaptive filters. IEEE Trans. Signal Process. 51(10): 2540-2549 (2003) - [c28]Gavin C. Cawley, Nicola L. C. Talbot, Robert J. Foxall, Stephen R. Dorling, Danilo P. Mandic:
Approximately unbiased estimation of conditional variance in heteroscedastic kernel ridge regression. ESANN 2003: 209-214 - [c27]Temujin Gautama, Danilo P. Mandic, Marc M. Van Hulle:
A differential entropy based method for determining the optimal embedding parameters of a signal. ICASSP (6) 2003: 29-32 - [c26]Christos Boukis, Danilo P. Mandic, Eftychios V. Papoulis, Anthony G. Constantinides:
A gradient adaptive step size algorithm for IIR filters. ICASSP (6) 2003: 85-88 - [c25]Danilo P. Mandic, Eftychios V. Papoulis, Christos Boukis:
A normalized mixed-norm adaptive filtering algorithm robust under impulsive noise interference. ICASSP (6) 2003: 333-336 - [c24]Andrew I. Hanna, Ian Yates, Danilo P. Mandic:
Analysis of the class of complex-valued error adaptive normalised nonlinear gradient descent algorithms. ICASSP (2) 2003: 705-708 - [c23]Su Lee Goh, Danilo P. Mandic:
A Data-Reusing Gradient Descent Algorithm for Complex-Valued Recurrent Neural Networks. KES 2003: 340-350 - [c22]Maria G. Jafari, Danilo P. Mandic, Jonathon A. Chambers:
A Fast Converging Sequential Blind Source Separation Algorithm for Cyclostationary Sources. KES 2003: 1343-1349 - [c21]Temujin Gautama, Danilo P. Mandic, Marc M. Van Hulle:
A Non-parametric Test for Detecting the Complex-Valued Nature of Time Series. KES 2003: 1364-1371 - [c20]Danilo P. Mandic, Andrzej Cichocki
An on-line algorithm for blind source extraction based on nonlinear prediction approach. NNSP 2003: 429-438 - [c19]Su Lee Goh, Danilo P. Mandic:
Nonlinear adaptive prediction using a complex-valued PRNN. NNSP 2003: 779-788 - 2002
- [j12]Alex S. Palmer, Moe Razaz, Danilo P. Mandic:
A spatially-adaptive neural network approach to regularized image restoration. J. Intell. Fuzzy Syst. 13(2-4): 177-185 (2002) - [j11]Danilo P. Mandic:
Data-Reusing Recurrent Neural Adaptive Filters. Neural Comput. 14(11): 2693-2707 (2002) - [j10]Andrew I. Hanna, Danilo P. Mandic:
Nonlinear FIR adaptive filters with a gradient adaptive amplitude in the nonlinearity. IEEE Signal Process. Lett. 9(8): 253-255 (2002) - [c18]Robert J. Foxall, Gavin C. Cawley, Nicola L. C. Talbot, Stephen R. Dorling, Danilo P. Mandic:
Heteroscedastic regularised kernel regression for prediction of episodes of poor air quality. ESANN 2002: 19-24 - [c17]Robert J. Foxall, Gavin C. Cawley, Stephen R. Dorling, Danilo P. Mandic:
Error Functions for Prediction of Episodes of Poor Air Quality. ICANN 2002: 1031-1036 - [c16]Andrew I. Hanna, Danilo P. Mandic:
A normalised complex backpropagation algorithm. ICASSP 2002: 977-980 - [c15]Warren Sherliker, Igor R. Krcmar, Milorad M. Bozic, Danilo P. Mandic:
On sensitivity of neural adaptive filters with respect to the slope parameter of a neuron activation function. ICASSP 2002: 1061-1064 - [c14]Danilo P. Mandic, Andrew I. Hanna, Dai I. Kim:
A general adaptive normalised nonlinear-gradient descent algorithm for nonlinear adaptive filters. ICASSP 2002: 1353-1356 - [c13]Djemal H. Kolonic, Danilo P. Mandic, Ben Milner, Richard W. Harvey
On the derivation of the optimal payload size for packet based transmission over a binary symmetrical communication channel. ICASSP 2002: 4120-4123 - [c12]Christos Boukis, Danilo P. Mandic:
A global gradient descent algorithm for hierarchical FIR adaptive filters. DSP 2002: 1285-1288 - [c11]Christos Boukis, Danilo P. Mandic, Anthony G. Constantinides:
A hierarchical feedforward adaptive filter for system identification. NNSP 2002: 269-278 - [c10]Woon Chong Siaw, Su Lee Goh, Andrew I. Hanna, Christos Boukis, Danilo P. Mandic:
Fully adaptive neural nonlinear FIR filters. NNSP 2002: 279-288 - [c9]Alex S. Palmer, Moe Razaz, Danilo P. Mandic:
Spatially Adaptive Image Restoration by Neural Network Filtering. SBRN 2002: 184-191 - 2001
- [j9]Danilo P. Mandic, Andrew I. Hanna, Moe Razaz:
A normalized gradient descent algorithm for nonlinear adaptive filters using a gradient adaptive step size. IEEE Signal Process. Lett. 8(11): 295-297 (2001) - [c8]Igor R. Krcmar, Danilo P. Mandic:
A fully adaptive normalized nonlinear gradient descent algorithm for nonlinear system identification. ICASSP 2001: 3493-3496 - [c7]Robert J. Foxall, Igor R. Krcmar, Gavin C. Cawley, Stephen R. Dorling, Danilo P. Mandic:
Nonlinear modelling of air pollution time series. ICASSP 2001: 3505-3508 - 2000
- [j8]Danilo P. Mandic, Jonathon A. Chambers:
Relationships Between the A Priori and A Posteriori Errors in Nonlinear Adaptive Neural Filters. Neural Comput. 12(6): 1285-1292 (2000) - [j7]Danilo P. Mandic, Jonathon A. Chambers:
Towards the Optimal Learning Rate for Backpropagation. Neural Process. Lett. 11(1): 1-5 (2000) - [j6]Danilo P. Mandic, Jonathon A. Chambers:
A normalised real time recurrent learning algorithm. Signal Process. 80(9): 1909-1916 (2000) - [j5]Danilo P. Mandic, Jonathon A. Chambers:
On the choice of parameters of the cost function in nested modular RNN's. IEEE Trans. Neural Networks Learn. Syst. 11(2): 315-322 (2000) - [j4]Danilo P. Mandic, Jonathon A. Chambers:
Advanced RNN Based NARMA Predictors. J. VLSI Signal Process. 26(1-2): 105-117 (2000) - [c6]Jonathon A. Chambers, Warren Sherliker, Danilo P. Mandic:
A normalized gradient algorithm for an adaptive recurrent perceptron. ICASSP 2000: 396-399 - [c5]Danilo P. Mandic, Jonathon A. Chambers, Milorad M. Bozic:
On global asymptotic stability of fully connected recurrent neural networks. ICASSP 2000: 3406-3409 - [c4]Mark Fisher, Danilo P. Mandic, J. Andrew Bangham, Richard W. Harvey
Visualising error surfaces for adaptive filters and other purposes. ICASSP 2000: 3522-3525 - [c3]Richard W. Harvey
Some potential pitfalls with s to z-plane mappings. ICASSP 2000: 3530-3533 - [c2]Danilo P. Mandic, Richard W. Harvey
On the Choice of Tactile Code. IEEE International Conference on Multimedia and Expo (I) 2000: 195-198
1990 – 1999
- 1999
- [j3]Danilo P. Mandic, Jonathon A. Chambers:
Relating the Slope of the Activation Function and the Learning Rate Within a Recurrent Neural Network. Neural Comput. 11(5): 1069-1077 (1999) - [j2]Danilo P. Mandic, Jonathon A. Chambers:
Exploiting inherent relationships in RNN architectures. Neural Networks 12(10): 1341-1345 (1999) - [j1]Danilo P. Mandic, Jonathon A. Chambers:
Toward an optimal PRNN-based nonlinear predictor. IEEE Trans. Neural Networks 10(6): 1435-1442 (1999) - [c1]Danilo P. Mandic, Jonathon A. Chambers:
Global asymptotic convergence of nonlinear relaxation equations realised through a recurrent perceptron. ICASSP 1999: 1037-1040
Coauthor Index
Bruno Scalzo Dees
aka: Bruno Scalzo
aka: Bruno Scalzo
Ilia Kisil
aka: Ilya Kisil
aka: Ilya Kisil
[i66] [j206] [c214] [j192] [j180] [j176] [j174] [c194] [c193] [c192] [i38] [j173] [j171] [j168] [j167] [j166] [j160] [j158] [j157] [c184] [j153] [j152] [j151] [j146] [j145] [j143] [j142] [c173] [c172] [c170] [j136] [j134] [j133] [c164] [c162] [c159] [i15] [i12] [j126] [c149] [c147] [j113] [j111] [j110] [j109] [c133] [c120] [i5] [j86] [j82] [j78] [j77] [c102] [j66] [j65] [c95] [c91] [j58] [c82] [c78]
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