Citation Impact
Citing Papers
The approximation power of moving least-squares
1998
Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples
2006 Standout
Salp Swarm Algorithm: A bio-inspired optimizer for engineering design problems
2017 Standout
Rare-Variant Association Testing for Sequencing Data with the Sequence Kernel Association Test
2011 Standout
Surrogate docking: structure-based virtual screening at high throughput speed
2005
Multiresolution Monogenic Signal Analysis Using the Riesz–Laplace Wavelet Transform
2009
Point Set Registration: Coherent Point Drift
2010 Standout
Semiparametric Regression of Multidimensional Genetic Pathway Data: Least‐Squares Kernel Machines and Linear Mixed Models
2007
ilastik: interactive machine learning for (bio)image analysis
2019 Standout
Multidimensional digital image representations using generalized Kaiser–Bessel window functions
1990
An overview of statistical learning theory
1999 Standout
Deformable Medical Image Registration: A Survey
2013
An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics
2013 Standout
A rigorous framework for optimization of expensive functions by surrogates
1999
The Whale Optimization Algorithm
2016 Standout
Topology optimization approaches
2013 Standout
Machine Learning for Medical Imaging
2017
Multiuser MIMO-OFDM for Next-Generation Wireless Systems
2007
Influence of partially known parameter on flaw characterization in Eddy Current Testing by using a random walk MCMC method based on metamodeling
2014 Standout
On the k-NN performance in a challenging scenario of imbalance and overlapping
2007
Marine Predators Algorithm: A nature-inspired metaheuristic
2020 Standout
The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains
2013 Standout
Surrogate-based analysis and optimization
2005 Standout
Radial basis functions and level set method for structural topology optimization
2005
Aspects of adaptive hierarchical RBF metamodels for optimization
2012
Multi-Verse Optimizer: a nature-inspired algorithm for global optimization
2015 Standout
Networks for approximation and learning
1990 Standout
Fractional Splines and Wavelets
2000
Gaussian Processes for Machine Learning
2005 Standout
Approximation theory of the MLP model in neural networks
1999
Sampling-50 years after Shannon
2000 Standout
Advances and Challenges in Space-time Modelling of Natural Events
2012
Recent advances in surrogate-based optimization
2009 Standout
Regularization Networks and Support Vector Machines
2000
Regularization Theory and Neural Networks Architectures
1995
A new meta-heuristic algorithm for continuous engineering optimization: harmony search theory and practice
2004
Approximation from Shift-Invariant Subspaces of L 2 (ℝ d )
1994
Deep vs. shallow networks: An approximation theory perspective
2016
Anomaly Detection Based on Sensor Data in Petroleum Industry Applications
2015
Gaussian filters for nonlinear filtering problems
2000 Standout
Extended-Connectivity Fingerprints
2010 Standout
Octree-based, automatic building façade generation from LiDAR data
2014
Infrared and visible image fusion methods and applications: A survey
2018 Standout
Variational Mode Decomposition
2014 Standout
Shape matching and object recognition using shape contexts
2002 Standout
A Survey of Projection-Based Model Reduction Methods for Parametric Dynamical Systems
2015 Standout
Radial basis functions
2000
Influence of the Discretization Methods on the Distribution of Relaxation Times Deconvolution: Implementing Radial Basis Functions with DRTtools
2015 Standout
Moth-flame optimization algorithm: A novel nature-inspired heuristic paradigm
2015 Standout
The Lifting Scheme: A Construction of Second Generation Wavelets
1998 Standout
Review of Metamodeling Techniques in Support of Engineering Design Optimization
2006 Standout
Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score
2003 StandoutNobel
Next Generation 5G Wireless Networks: A Comprehensive Survey
2016 Standout
Artificial hummingbird algorithm: A new bio-inspired optimizer with its engineering applications
2021 Standout
Grey Wolf Optimizer
2014 Standout
Error estimates and condition numbers for radial basis function interpolation
1995
Approximation from shift-invariant subspaces of 𝐿₂(𝐑^{𝐝})
1994
The Arithmetic Optimization Algorithm
2021 Standout
Nonuniform fast fourier transforms using min-max interpolation
2003 Standout
Understanding deep learning (still) requires rethinking generalization
2021 Standout
Sparse Approximate Solutions to Linear Systems
1995 Standout
Quasi-interpolation with translates of a function having noncompact support
1992
Mine blast algorithm: A new population based algorithm for solving constrained engineering optimization problems
2012 Standout
Approximation of Functions.
1987
ORBIT: Optimization by Radial Basis Function Interpolation in Trust-Regions
2008
Theory and applications of the multiquadric-biharmonic method 20 years of discovery 1968–1988
1990
Piecewise polynomial, positive definite and compactly supported radial functions of minimal degree
1995 Standout
Optimization by Direct Search: New Perspectives on Some Classical and Modern Methods
2003 Standout
Comparative studies of metamodelling techniques under multiple modelling criteria
2001 Standout
From Laser Scanning to Finite Element Analysis of Complex Buildings by Using a Semi-Automatic Procedure
2015 Standout
Aquila Optimizer: A novel meta-heuristic optimization algorithm
2021 Standout
Recent progress in unconstrained nonlinear optimization without derivatives
1997
Adaptive Metamodels for Crack Characterization in Eddy-Current Testing
2011
A Comprehensive Survey on Internet of Things (IoT) Toward 5G Wireless Systems
2019 Standout
Time series forecasting of petroleum production using deep LSTM recurrent networks
2018 Standout
DGM: A deep learning algorithm for solving partial differential equations
2018 Standout
On approximate approximations using Gaussian kernels
1996
Greedy function approximation: A gradient boosting machine.
2001 Standout
Wavelets for fault diagnosis of rotary machines: A review with applications
2013 Standout
Deep Learning in Medical Image Analysis
2017 Standout
Teaching–learning-based optimization: A novel method for constrained mechanical design optimization problems
2011 Standout
An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach
2011 Standout
Works of Martin Buhmann being referenced
On radial basis approximation on periodic grids
1992
A new class of radial basis functions with compact support
2000
Radial Basis Functions
2003
Identifying Linear Combinations of Ridge Functions
1999
Multiply monotone functions for cardinal interpolation
1991
On quasi-interpolation by radial basis functions with scattered centres
1995
Advanced Problems in Constructive Approximation
2003
Convergence of Univariate Quasi-Interpolation Using Multiquadrics
1988
Discrete least squares approximation and prewavelets from radial function spaces
1993
Multivariate interpolation in odd-dimensional euclidean spaces using multiquadrics
1990
Spline prewavelets for non-uniform knots
1992
On Quasi-interpolation with Radial Basis Functions
1993
Radial functions on compact support
1998
Approximation Theory and Optimization: Tributes to M. J. D. Powell
2009
Multivariate cardinal interpolation with radial-basis functions
1990
Radial basis functions theory and implementations
2003