Citation Impact
Citing Papers
Building Support Vector Machines with Reduced Classifier Complexity
2006
Conjugate relation between loss functions and uncertainty sets in classification problems
2013
On Over-fitting in Model Selection and Subsequent Selection Bias in Performance Evaluation
2010
Frequentist uncertainty estimates for deep learning.
2018
General Polynomial Time Decomposition Algorithms
2007
Statistical Consistency of Kernel Canonical Correlation Analysis
2007
The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation
2021 Standout
A review of uncertainty quantification in deep learning: Techniques, applications and challenges
2021 Standout
Object Detection with Discriminatively Trained Part-Based Models
2009 Standout
Quantum machine learning
2017 StandoutNature
Extreme Learning Machine for Regression and Multiclass Classification
2011 Standout
Trends in extreme learning machines: A review
2014 Standout
A Small Sphere and Large Margin Approach for Novelty Detection Using Training Data with Outliers
2009
SoilGrids250m: Global gridded soil information based on machine learning
2017 Standout
Man vs. computer: Benchmarking machine learning algorithms for traffic sign recognition
2012 Standout
A new learning paradigm: Learning using privileged information
2009
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
2021 Standout
A Proof that Artificial Neural Networks Overcome the Curse of Dimensionality in the Numerical Approximation of Black–Scholes Partial Differential Equations
2023
Machine learning: Trends, perspectives, and prospects
2015 StandoutScience
Modeling wine preferences by data mining from physicochemical properties
2009 Standout
Anomaly Detection Through a Bayesian Support Vector Machine
2010
Efficient support vector data descriptions for novelty detection
2011
Quantum Machine Learning: What Quantum Computing Means to Data Mining
2014
Optimization for Machine Learning
2011
Artificial intelligence for fault diagnosis of rotating machinery: A review
2018 Standout
Training a Support Vector Machine in the Primal
2007
Data fusion and machine learning for industrial prognosis: Trends and perspectives towards Industry 4.0
2018
Convexity, Classification, and Risk Bounds
2006
Learning from Imbalanced Data
2009 Standout
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 Standout
An Insight into Extreme Learning Machines: Random Neurons, Random Features and Kernels
2014
Support vector machines in remote sensing: A review
2010 Standout
Pegasos: primal estimated sub-gradient solver for SVM
2010
A tutorial on support vector regression
2004 Standout
Gaussian Processes for Machine Learning
2005 Standout
Learning on the border
2007
Ontology learning algorithm for similarity measuring and ontology mapping using linear programming
2017 Standout
Recent advances in surrogate-based optimization
2009 Standout
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications
2021 Standout
On Early Stopping in Gradient Descent Learning
2007
Estimating the Support of a High-Dimensional Distribution
2001 Standout
A Comprehensive Survey on Transfer Learning
2020 Standout
A maximum margin and minimum volume hyper-spheres machine with pinball loss for imbalanced data classification
2015
Determination and prediction on “three zones” of coal spontaneous combustion in a gob of fully mechanized caving face
2017 Standout
Generative Adversarial Active Learning for Unsupervised Outlier Detection
2019
Quantile Regression Forests
2006
LIBSVM
2011 Standout
Safety in numbers: Learning categories from few examples with multi model knowledge transfer
2010
Support vector machines under adversarial label contamination
2015
Is Extreme Learning Machine Feasible? A Theoretical Assessment (Part II)
2014
Feature vector regression with efficient hyperparameters tuning and geometric interpretation
2016
Yahoo! for Amazon: Sentiment Extraction from Small Talk on the Web
2007 Standout
Is Extreme Learning Machine Feasible? A Theoretical Assessment (Part I)
2014
Statistical behavior and consistency of classification methods based on convex risk minimization
2004
Widely Linear Kernels for Complex-valued Kernel Activation Functions
2019
Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
2010 Standout
Domain Anomaly Detection in Machine Perception: A System Architecture and Taxonomy
2013
Incomplete Multiview Spectral Clustering With Adaptive Graph Learning
2018 Standout
Data-Driven Intelligent Transportation Systems: A Survey
2011 Standout
Early detection and classification of plant diseases with Support Vector Machines based on hyperspectral reflectance
2010 Standout
Battery Lifetime Prognostics
2020 Standout
Learning from class-imbalanced data: Review of methods and applications
2016 Standout
Electric Load Forecasting
2007
Long short-term memory neural network for traffic speed prediction using remote microwave sensor data
2015 Standout
Understanding deep learning (still) requires rethinking generalization
2021 Standout
On hyperparameter optimization of machine learning algorithms: Theory and practice
2020 Standout
Physics-informed machine learning
2021 Standout
Robustness and Outlier Detection in Chemometrics
2006
T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction
2019 Standout
Multi-View Clustering via Deep Matrix Factorization
2017
A Comprehensive Survey of Loss Functions in Machine Learning
2020
Reliable Fault Diagnosis for Low-Speed Bearings Using Individually Trained Support Vector Machines With Kernel Discriminative Feature Analysis
2014
Recent advances in convolutional neural networks
2017 Standout
Anomaly detection
2009 Standout
Medical Health Big Data Classification Based on KNN Classification Algorithm
2019 Standout
Activation functions in deep learning: A comprehensive survey and benchmark
2022 Standout
Applications of machine learning to machine fault diagnosis: A review and roadmap
2020 Standout
Regularization and Variable Selection Via the Elastic Net
2005 Standout
A Survey of Fault Diagnosis and Fault-Tolerant Techniques—Part I: Fault Diagnosis With Model-Based and Signal-Based Approaches
2015 Standout
Data-Driven Zero-Sum Neuro-Optimal Control for a Class of Continuous-Time Unknown Nonlinear Systems With Disturbance Using ADP
2015 Standout
A survey on concept drift adaptation
2014 Standout
A survey of transfer learning
2016 Standout
New facial expression recognition based on FSVM and KNN
2015
A review of novelty detection
2014 Standout
A tutorial on ν‐support vector machines
2005
A Review of Further Directions for Artificial Intelligence, Machine Learning, and Deep Learning in Smart Logistics
2020 Standout
Survey on Fall Detection and Fall Prevention Using Wearable and External Sensors
2014 Standout
Principal component analysis
2014 Standout
Works of Ingo Steinwart being referenced
A Classification Framework for Anomaly Detection
2005
Sparseness of support vector machines
2003
Sparseness of Support Vector Machines---Some Asymptotically Sharp Bounds
2003
How SVMs can estimate quantiles and the median
2007
QP Algorithms with Guaranteed Accuracy and Run Time for Support Vector Machines
2006
Training SVMs without offset
2009
Optimal learning rates for least squares SVMs using Gaussian kernels
2011
Fully adaptive density-based clustering
2015
Estimating conditional quantiles with the help of the pinball loss
2011
Mercer’s Theorem on General Domains: On the Interaction between Measures, Kernels, and RKHSs
2012
Consistency of Support Vector Machines and Other Regularized Kernel Classifiers
2005
Learning from dependent observations
2008
On the Existence of Continuous Modifications of Vector-Valued Random Fields
2003
Support Vector Machines are Universally Consistent
2002
Consistency and robustness of kernel based regression
2005
Fast rates for support vector machines using Gaussian kernels
2007
An Explicit Description of the Reproducing Kernel Hilbert Spaces of Gaussian RBF Kernels
2006
Robust learning from bites for data mining
2007
On Robustness Properties of Convex Risk Minimization Methods for Pattern Recognition
2003
On the optimal parameter choice for v-support vector machines
2003