Citation Impact
Citing Papers
Automatic Classification of Heartbeats Using ECG Morphology and Heartbeat Interval Features
2004 Standout
Learning capability and storage capacity of two-hidden-layer feedforward networks
2003
Logistic regression and artificial neural network classification models: a methodology review
2002 Standout
The application of neural networks in predicting the outcome of in- vitro fertilization
1997 Standout
Extreme Learning Machine for Regression and Multiclass Classification
2011 Standout
Deep learning for small and big data in psychiatry
2020
Discovering faster matrix multiplication algorithms with reinforcement learning
2022 StandoutNatureNobel
An overview of statistical learning theory
1999 Standout
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
2021 Standout
Gene selection and classification of microarray data using random forest
2006 Standout
The Vapnik–Chervonenkis dimension of graph and recursive neural networks
2018
Deep learning in neural networks: An overview
2014 Standout
Modeling and Simulation of Genetic Regulatory Systems: A Literature Review
2002 Standout
Machine learning: Trends, perspectives, and prospects
2015 StandoutScience
Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope
2001 Standout
Neural Systems as Nonlinear Filters
2000
Semidefinite programming relaxations for semialgebraic problems
2003 Standout
Computation in gene networks
2003
Model-Based Clustering, Discriminant Analysis, and Density Estimation
2002 Standout
Pattern Recognition and Neural Networks
1996 Standout
Pattern Recognition and Machine Learning
2007 Standout
Semantic linking through spaces for cyber-physical-socio intelligence: A methodology
2011 Standout
Extreme learning machine: Theory and applications
2006 Standout
Kernel Methods for Pattern Analysis
2004 Standout
Boosting the margin: a new explanation for the effectiveness of voting methods
1998 Standout
CLASSIFICATION AND REGRESSION TREES: A POWERFUL YET SIMPLE TECHNIQUE FOR ECOLOGICAL DATA ANALYSIS
2000 Standout
A tutorial on support vector regression
2004 Standout
Gaussian Processes for Machine Learning
2005 Standout
Mathematical problems for the next century
1998
BIOMOD – a platform for ensemble forecasting of species distributions
2009 Standout
Discussion on the paper by Spiegelhalter, Best, Carlin and van der Linde
2002 Standout
Genetic network inference: from co-expression clustering to reverse engineering
2000
A Tutorial on Support Vector Machines for Pattern Recognition
1998 Standout
Estimating the Support of a High-Dimensional Distribution
2001 Standout
The sample complexity of pattern classification with neural networks: the size of the weights is more important than the size of the network
1998
Deep Learning on Graphs: A Survey
2020 Standout
On the combinatorial and algebraic complexity of quantifier elimination
1996
Shape matching and object recognition using shape contexts
2002 Standout
Statistical pattern recognition: a review
2000 Standout
Incoherence-Optimal Matrix Completion
2015
Bioinformatics and Computational Biology Solutions Using R and Bioconductor
2005 Standout
Probabilistic Principal Component Analysis
1999 Standout
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
2010 Standout
Understanding deep learning (still) requires rethinking generalization
2021 Standout
Bayesian Network Classifiers
1997 Standout
Exact Tensor Completion Using t-SVD
2016 Standout
Geometry and Complexity Theory
2017
Dynamical recognizers: real-time language recognition by analog computers
1998
Real-Time Computing Without Stable States: A New Framework for Neural Computation Based on Perturbations
2002 Standout
Optimal detection of sparse principal components in high dimension
2013
Data Mining: Practical Machine Learning Tools and Techniques
2011 Standout
A survey of computational complexity results in systems and control
2000
The global k-means clustering algorithm
2002 Standout
Factor analysis applied to regional geochemical data: problems and possibilities
2002 Standout
Improved Boosting Algorithms Using Confidence-rated Predictions
1999 Standout
MatchIt: Nonparametric Preprocessing for Parametric Causal Inference
2011 Standout
Comparison of Discrimination Methods for the Classification of Tumors Using Gene Expression Data
2002 Standout
New Support Vector Algorithms
2000 Standout
Data mining: concepts and techniques
2012 Standout
Structural risk minimization over data-dependent hierarchies
1998
Greedy function approximation: A gradient boosting machine.
2001 Standout
Computation Beyond the Turing Limit
1995 Science
Most Tensor Problems Are NP-Hard
2013 Standout
Definition and Classification of Power System Stability IEEE/CIGRE Joint Task Force on Stability Terms and Definitions
2004 Standout
Support Vector Data Description
2003 Standout
Generalized Additive Models for Location, Scale and Shape
2005 Standout
Works of Pascal Koiran being referenced
Neural Networks with Quadratic VC Dimension
1995
Hidden Cliques and the Certification of the Restricted Isometry Property
2014
Computing over the reals with addition and order
1994
A weak version of the Blum, Shub and Smale model
2002
On real Turing machines that toss coins
1995
Computability with low-dimensional dynamical systems
1994
Vapnik-Chervonenkis dimension of recurrent neural networks
1998
A Polynomial Time Algorithm for Diophantine Equations in One Variable
1999
Closed-form analytic maps in one and two dimensions can simulate universal turing machines
1999
Arithmetic circuits: The chasm at depth four gets wider
2012
Neural Networks with Quadratic VC Dimension
1997
A family of universal recurrent networks
1996
A Weak Version of the Blum, Shub, and Smale Model
1997
Deciding stability and mortality of piecewise affine dynamical systems
2001
Approximation and Learning of Convex Superpositions
1997