Citation Impact
Citing Papers
LIBLINEAR: A Library for Large Linear Classification
2008 Standout
Working Set Selection Using Second Order Information for Training Support Vector Machines
2005 Standout
System for Automated Geoscientific Analyses (SAGA) v. 2.1.4
2015 Standout
No-Reference Image Quality Assessment in the Spatial Domain
2012 Standout
The Precision-Recall Plot Is More Informative than the ROC Plot When Evaluating Binary Classifiers on Imbalanced Datasets
2015 Standout
Blind Image Quality Assessment: From Natural Scene Statistics to Perceptual Quality
2011 Standout
Object Detection with Discriminatively Trained Part-Based Models
2009 Standout
Computational capabilities of recurrent NARX neural networks
1997
Multi-voxel pattern analysis in human hippocampal subfields
2012 StandoutNobel
The Perseus computational platform for comprehensive analysis of (prote)omics data
2016 Standout
Trends in extreme learning machines: A review
2014 Standout
How machine learning can help select capping layers to suppress perovskite degradation
2020 StandoutNobel
SoilGrids250m: Global gridded soil information based on machine learning
2017 Standout
SwissADME: a free web tool to evaluate pharmacokinetics, drug-likeness and medicinal chemistry friendliness of small molecules
2017 Standout
Detecting Representations of Recent and Remote Autobiographical Memories in vmPFC and Hippocampus
2012 StandoutNobel
Gene selection and classification of microarray data using random forest
2006 Standout
Imagine All the People: How the Brain Creates and Uses Personality Models to Predict Behavior
2013 StandoutNobel
Deep learning in neural networks: An overview
2014 Standout
Financial time series forecasting using support vector machines
2003 Standout
Data fusion and machine learning for industrial prognosis: Trends and perspectives towards Industry 4.0
2018
Training a Single Sigmoidal Neuron Is Hard
2002
Convexity, Classification, and Risk Bounds
2006
Algorithms at Work: The New Contested Terrain of Control
2019 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
The Pascal Visual Object Classes Challenge: A Retrospective
2014 Standout
The WEKA data mining software
2009 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
A Comprehensive Survey on Transfer Learning
2020 Standout
Determination and prediction on “three zones” of coal spontaneous combustion in a gob of fully mechanized caving face
2017 Standout
Quantile Regression Forests
2006
LIBSVM
2011 Standout
Safety in numbers: Learning categories from few examples with multi model knowledge transfer
2010
Rank Entropy-Based Decision Trees for Monotonic Classification
2011
Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
2010 Standout
Machinery health prognostics: A systematic review from data acquisition to RUL prediction
2017 Standout
Cueing, feature discovery, and one-class learning for synthetic aperture radar automatic target recognition
1995
Effective data generation for imbalanced learning using conditional generative adversarial networks
2017 Standout
Power to the People: The Role of Humans in Interactive Machine Learning
2014
Machine Learning in Agriculture: A Review
2018 Standout
Fault diagnostics of roller bearing using kernel based neighborhood score multi-class support vector machine
2007
A Tutorial on Multilabel Learning
2015 Standout
Anomaly detection
2009 Standout
Medical Health Big Data Classification Based on KNN Classification Algorithm
2019 Standout
Applications of machine learning to machine fault diagnosis: A review and roadmap
2020 Standout
High-dimensional and large-scale anomaly detection using a linear one-class SVM with deep learning
2016 Standout
Random forest classifier for remote sensing classification
2005 Standout
A survey on feature selection methods
2013 Standout
A Survey of Fault Diagnosis and Fault-Tolerant Techniques—Part I: Fault Diagnosis With Model-Based and Signal-Based Approaches
2015 Standout
Heart Disease Identification Method Using Machine Learning Classification in E-Healthcare
2020 Standout
A survey on concept drift adaptation
2014 Standout
A Review on Multi-Label Learning Algorithms
2013 Standout
A survey of transfer learning
2016 Standout
New facial expression recognition based on FSVM and KNN
2015
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
2015 Standout
Deep Feature Extraction and Classification of Hyperspectral Images Based on Convolutional Neural Networks
2016 Standout
Greek long-term energy consumption prediction using artificial neural networks
2009 Standout
Support Vector Data Description
2003 Standout
Neural networks for the prediction and forecasting of water resources variables: a review of modelling issues and applications
2000 Standout
Works of Don Hush being referenced
A Classification Framework for Anomaly Detection
2005
QP Algorithms with Guaranteed Accuracy and Run Time for Support Vector Machines
2006
Training SVMs without offset
2009
Algorithms for optimal dyadic decision trees
2010
Learning from dependent observations
2008
Polynomial-Time Decomposition Algorithms for Support Vector Machines
2003
Training a Sigmoidal Node Is Hard
1999
Interactive Machine Learning in Data Exploitation
2013
Bounds on the complexity of recurrent neural network implementations of finite state machines
1996
Network constraints and multi-objective optimization for one-class classification
1996