Citation Impact
Citing Papers
Message-passing algorithms for compressed sensing
2009 Standout
A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
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Strategies for subtypes—dealing with the diversity of breast cancer: highlights of the St Gallen International Expert Consensus on the Primary Therapy of Early Breast Cancer 2011
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Biological Processes Associated with Breast Cancer Clinical Outcome Depend on the Molecular Subtypes
2008
The Precision-Recall Plot Is More Informative than the ROC Plot When Evaluating Binary Classifiers on Imbalanced Datasets
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Sparse Subspace Clustering: Algorithm, Theory, and Applications
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Fuzzy basis functions, universal approximation, and orthogonal least-squares learning
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Triple-negative breast cancer: challenges and opportunities of a heterogeneous disease
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Tumor Metastasis: Molecular Insights and Evolving Paradigms
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A Kernel-Based Two-Class Classifier for Imbalanced Data Sets
2007
Neural-network construction and selection in nonlinear modeling
2003
Extreme Learning Machine for Regression and Multiclass Classification
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Evaluation of Factors Related to Late Recurrence - Later than 10 Years after the Initial Treatment - in Primary Breast Cancer
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Dictionary learning for integrative, multimodal and scalable single-cell analysis
2023 Standout
The immune contexture in human tumours: impact on clinical outcome
2012 Standout
On the efficiency of the orthogonal least squares training method for radial basis function networks
1996
Robust Face Recognition via Sparse Representation
2009 Standout
Sparse MRI: The application of compressed sensing for rapid MR imaging
2007 Standout
Orthogonal least squares learning algorithm for radial basis function networks
1991 Standout
Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries
2006 Standout
The Adaptive Lasso and Its Oracle Properties
2006 Standout
Signal Recovery From Random Measurements Via Orthogonal Matching Pursuit
2007 Standout
Subspace Pursuit for Compressive Sensing Signal Reconstruction
2009 Standout
An iterative thresholding algorithm for linear inverse problems with a sparsity constraint
2004 Standout
Learning from Imbalanced Data
2009 Standout
Differential Evolution: A Survey of the State-of-the-Art
2010 Standout
Regularization Paths for Generalized Linear Models via Coordinate Descent.
2010 Standout
Nonlinear black-box modeling in system identification: a unified overview
1995
Atomic Decomposition by Basis Pursuit
2001 Standout
A tutorial on support vector regression
2004 Standout
Direct parameter estimation for linear and non-linear structures
1992
From Sparse Solutions of Systems of Equations to Sparse Modeling of Signals and Images
2009 Standout
ANFIS: adaptive-network-based fuzzy inference system
1993 Standout
A wavelet-based approach for model and parameter identification of non-linear systems
2001
Compressed sensing
2006 Standout
Image Super-Resolution Via Sparse Representation
2010 Standout
Influence of the Discretization Methods on the Distribution of Relaxation Times Deconvolution: Implementing Radial Basis Functions with DRTtools
2015 Standout
Sparse conjugate directions pursuit with application to fixed-size kernel models
2011
Robust principal component analysis?
2011 Standout
Adaptive greedy approximations
1997
Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
2010 Standout
Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization
2010 Standout
Regression Shrinkage and Selection via The Lasso: A Retrospective
2011 Standout
Extended model set, global data and threshold model identification of severely non-linear systems
1989
On the uniqueness of overcomplete dictionaries, and a practical way to retrieve them
2005
Stable signal recovery from incomplete and inaccurate measurements
2006 Standout
Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?
2006 Standout
A review on time series forecasting techniques for building energy consumption
2017 Standout
Differential Evolution and Levenberg Marquardt Trained Neural Network Scheme for Nonlinear System Identification
2008
An Introduction To Compressive Sampling
2008 Standout
Atomic Decomposition by Basis Pursuit
1998 Standout
$rm K$-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation
2006 Standout
Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) network
2020 Standout
Non-linear systems identification using radial basis functions
1990
Optimally sparse representation in general (nonorthogonal) dictionaries via ℓ 1 minimization
2003 Standout
Past, present and future of nonlinear system identification in structural dynamics
2005 Standout
Image Super-Resolution Using Deep Convolutional Networks
2015 Standout
Decoding by Linear Programming
2005 Standout
Practical identification of NARMAX models using radial basis functions
1990
Asymptotic Analysis of MAP Estimation via the Replica Method and Applications to Compressed Sensing
2012
Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
2006 Standout
Greed is Good: Algorithmic Results for Sparse Approximation
2004 Standout
Works of Wan Luo being referenced
Orthogonal least squares methods and their application to non-linear system identification
1989