Standout Papers
- Complex Valued Nonlinear Adaptive Filters: Noncircularity, Widely Linear and Neural Models (2009)
- Tensor Decompositions for Signal Processing Applications: From two-way to multiway component analysis (2015)
Citation Impact
Citing Papers
Recent advances in physical reservoir computing: A review
2019 Standout
mixOmics: An R package for ‘omics feature selection and multiple data integration
2017 Standout
Forecasting of ozone episode days by cost-sensitive neural network methods
2009
Recent advances in wearable sensors and portable electronics for sleep monitoring
2021
Estimation of the global prevalence and burden of obstructive sleep apnoea: a literature-based analysis
2019 Standout
Early-warning signals for critical transitions
2009 StandoutNature
Method of respiratory rate measurement using a unique wearable platform and an adaptive optical-based approach
2020
Nonlinear dynamical analysis of EEG and MEG: Review of an emerging field
2005
Optimisation and data mining techniques for the screening of epileptic patients
2009
Deep Learning: A Comprehensive Overview on Techniques, Taxonomy, Applications and Research Directions
2021 Standout
End-to-end design of wearable sensors
2022 Standout
Image Fusion With Guided Filtering
2013 Standout
Ground-level ozone prediction by support vector machine approach with a cost-sensitive classification scheme
2008
Deep Learning‐Based Crack Damage Detection Using Convolutional Neural Networks
2017 Standout
Taking the Human Out of the Loop: A Review of Bayesian Optimization
2015 Standout
An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics
2013 Standout
Tensor rank learning in CP decomposition via convolutional neural network
2018
A review on empirical mode decomposition in fault diagnosis of rotating machinery
2012 Standout
Comparison of two new short-term wind-power forecasting systems
2008
Hybridizing the fifth generation mesoscale model with artificial neural networks for short-term wind speed prediction
2008
A Survey on Analysis and Design of Model-Based Fuzzy Control Systems
2006 Standout
Tensors for Data Mining and Data Fusion
2016
Artificial intelligence for fault diagnosis of rotating machinery: A review
2018 Standout
Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction
2017 Standout
Tensor Decomposition for Signal Processing and Machine Learning
2017 Standout
Bivariate empirical mode decomposition and its contribution to wind turbine condition monitoring
2011
Prognostics and health management design for rotary machinery systems—Reviews, methodology and applications
2013 Standout
Medical image fusion: A survey of the state of the art
2014
Model Compression and Hardware Acceleration for Neural Networks: A Comprehensive Survey
2020 Standout
Deep neural networks: A promising tool for fault characteristic mining and intelligent diagnosis of rotating machinery with massive data
2015 Standout
Generic Uniqueness Conditions for the Canonical Polyadic Decomposition and INDSCAL
2015
Data-driven Soft Sensors in the process industry
2009 Standout
Slowing down as an early warning signal for abrupt climate change
2008
Tensor-factorized neural networks
2017
Multimodal Data Fusion: An Overview of Methods, Challenges, and Prospects
2015
A Randomized Block Sampling Approach to Canonical Polyadic Decomposition of Large-Scale Tensors
2015
Energy consumption prediction of office buildings based on echo state networks
2016
A review of data-driven building energy consumption prediction studies
2017 Standout
A formal study of the nonlinearity and consistency of the Empirical Mode Decomposition
2011
Crude oil price forecasting based on internet concern using an extreme learning machine
2018
Multivariate empirical mode decomposition and application to multichannel filtering
2011
Dimension reduction techniques for the integrative analysis of multi-omics data
2016
Parallel Algorithms for Constrained Tensor Factorization via Alternating Direction Method of Multipliers
2015
Variational Mode Decomposition
2014 Standout
A review on the forecasting of wind speed and generated power
2008 Standout
Lab-on-Skin: A Review of Flexible and Stretchable Electronics for Wearable Health Monitoring
2017 Standout
New Uniqueness Conditions for the Canonical Polyadic Decomposition of Third-Order Tensors
2015
Wireless Communications and Applications Above 100 GHz: Opportunities and Challenges for 6G and Beyond
2019 Standout
Empirical Wavelet Transform
2013 Standout
Statistical methods versus neural networks in transportation research: Differences, similarities and some insights
2010
Radar Signal Processing for Elderly Fall Detection: The future for in-home monitoring
2016
Deep belief network based deterministic and probabilistic wind speed forecasting approach
2016 Standout
Machinery health prognostics: A systematic review from data acquisition to RUL prediction
2017 Standout
Tensorlab 3.0 — Numerical optimization strategies for large-scale constrained and coupled matrix/tensor factorization
2016
Enhanced probabilistic neural network with local decision circles: A robust classifier
2010
Joint Radar and Communication Design: Applications, State-of-the-Art, and the Road Ahead
2020 Standout
Battery Lifetime Prognostics
2020 Standout
Learning from class-imbalanced data: Review of methods and applications
2016 Standout
Long short-term memory neural network for traffic speed prediction using remote microwave sensor data
2015 Standout
The Synchrosqueezing algorithm for time-varying spectral analysis: Robustness properties and new paleoclimate applications
2012
Coupled Canonical Polyadic Decompositions and (Coupled) Decompositions in Multilinear Rank-$(L_r,n,L_r,n,1)$ Terms---Part I: Uniqueness
2015
Identification and control of the AWS using neural network models
2008
Exact Tensor Completion Using t-SVD
2016 Standout
Synchronization in complex networks
2008 Standout
A Vision of 6G Wireless Systems: Applications, Trends, Technologies, and Open Research Problems
2019 Standout
Wave energy utilization: A review of the technologies
2009 Standout
Soft, curved electrode systems capable of integration on the auricle as a persistent brain–computer interface
2015
Review of adaptation mechanisms for data-driven soft sensors
2010
Applications of 2D MXenes in energy conversion and storage systems
2018 Standout
Multiscale Convolutional Neural Networks for Fault Diagnosis of Wind Turbine Gearbox
2018 Standout
Current methods and advances in forecasting of wind power generation
2011 Standout
Boundary extension for Hilbert–Huang transform inspired by gray prediction model
2011
Wearable and flexible sensors for user-interactive health-monitoring devices
2018
Exact line and plane search for tensor optimization
2015
Structured Data Fusion
2015
Robust performance degradation assessment methods for enhanced rolling element bearing prognostics
2003
Fusing Hyperspectral and Multispectral Images via Coupled Sparse Tensor Factorization
2018 Standout
Multi-step forecasting for wind speed using a modified EMD-based artificial neural network model
2011 Standout
Parallel Randomly Compressed Cubes : A scalable distributed architecture for big tensor decomposition
2014
Matrix-Vector Nonnegative Tensor Factorization for Blind Unmixing of Hyperspectral Imagery
2016
Recent Progress in Flexible Wearable Sensors for Vital Sign Monitoring
2020
A survey on concept drift adaptation
2014 Standout
Bivariate Empirical Mode Decomposition
2007
Multibeam Digital Array Receiver Using a 16-Point Multiplierless DFT Approximation
2018
Artificial Neural Networks-Based Machine Learning for Wireless Networks: A Tutorial
2019 Standout
Multimodal Machine Learning: A Survey and Taxonomy
2018 Standout
Multivariate EMD and full spectrum based condition monitoring for rotating machinery
2011
Locally recurrent neural networks for wind speed prediction using spatial correlation
2007
A new forecasting model with wrapper-based feature selection approach using multi-objective optimization technique for chaotic crude oil time series
2020 Standout
A modified learning algorithm for the multilayer neural network with multi-valued neurons based on the complex QR decomposition
2011
Heteroscedastic Gaussian process regression
2005
Wind speed forecasting for wind farms: A method based on support vector regression
2015
Tensor–tensor products with invertible linear transforms
2015
Fuzzy Identification Using Fuzzy Neural Networks With Stable Learning Algorithms
2004
Deep learning in agriculture: A survey
2018 Standout
Data mining techniques and applications – A decade review from 2000 to 2011
2012 Standout
Works of Danilo P. Mandic being referenced
Approximately Unbiased Estimation of Conditional Variance in Heteroscedastic Kernel Ridge Regression
2003
Recurrent Neural Networks for Prediction: Learning Algorithms,Architectures and Stability
2001
Hearables: Multimodal physiological in-ear sensing
2017
A Novel Method for Determining the Nature of Time Series
2004
Smart Helmet: Wearable Multichannel ECG and EEG
2016
On the choice of parameters of the cost function in nested modular RNN's
2000
The In-the-Ear Recording Concept: User-Centered and Wearable Brain Monitoring
2012
Indications of nonlinear structures in brain electrical activity
2003
Application of empirical mode decomposition in removing fidgeting interference in doppler radar life signs monitoring devices
2009
An Augmented Echo State Network for Nonlinear Adaptive Filtering of Complex Noncircular Signals
2010
A novel in-ear sensor to determine sleep latency during the Multiple Sleep Latency Test in healthy adults with and without sleep restriction
2018
Higher Order Partial Least Squares (HOPLS): A Generalized Multilinear Regression Method
2012
Wearable In-Ear Encephalography Sensor for Monitoring Sleep. Preliminary Observations from Nap Studies
2016
Complex Empirical Mode Decomposition
2007
Multiscale Image Fusion Using Complex Extensions of EMD
2009
Algorithmic Trading Using Phase Synchronization
2011
Quaternion-Valued Echo State Networks
2014
The delay vector variance method for detecting determinism and nonlinearity in time series
2003
Maximum likelihood cost functions for neural network models of air quality data
2003
ONLINE DETECTION OF THE MODALITY OF COMPLEX-VALUED REAL WORLD SIGNALS
2008
A normalized gradient descent algorithm for nonlinear adaptive filters using a gradient adaptive step size
2001
Tensor Decompositions for Signal Processing Applications: From two-way to multiway component analysis
2015 Standout
Design of oversampled generalised discrete Fourier transform filter banks for application to subband‐based blind source separation
2013
Complex Valued Nonlinear Adaptive Filters: Noncircularity, Widely Linear and Neural Models
2009 Standout
Empirical Mode Decomposition for Trivariate Signals
2009
Blind source extraction: Standard approaches and extensions to noisy and post-nonlinear mixing
2008
Complex-valued prediction of wind profile using augmented complex statistics
2008
Complex-valued forecasting of wind profile
2005
Signal Processing Techniques for Knowledge Extraction and Information Fusion
2008
In-Ear SpO2: A Tool for Wearable, Unobtrusive Monitoring of Core Blood Oxygen Saturation
2020
Qualitative assessment of intrinsic mode functions of empirical mode decomposition
2008