Citation Impact
Citing Papers
Learning to Forget: Continual Prediction with LSTM
2000 Standout
Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion
2010 Standout
Building Support Vector Machines with Reduced Classifier Complexity
2006
Understanding the difficulty of training deep feedforward neural networks
2010 Standout
No-Reference Image Quality Assessment in the Spatial Domain
2012 Standout
MetaboAnalyst: a web server for metabolomic data analysis and interpretation
2009 Standout
A Novel Connectionist System for Unconstrained Handwriting Recognition
2009 Standout
Blind Image Quality Assessment: From Natural Scene Statistics to Perceptual Quality
2011 Standout
The neural basis of cognitive development: A constructivist manifesto
1997
Quantum machine learning
2017 StandoutNature
Learning long-term dependencies with gradient descent is difficult
1994 Standout
Individual differences in reasoning: Implications for the rationality debate?
2000 Standout
Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy
2005 Standout
Extreme Learning Machine for Regression and Multiclass Classification
2011 Standout
The connection between regularization operators and support vector kernels
1998
A survey on deep learning in medical image analysis
2017 Standout
Robust growing neural gas algorithm with application in cluster analysis
2004
Deep learning
2015 StandoutNatureNobel
Representation Learning: A Review and New Perspectives
2013 Standout
Generalized Fragment Picking in Rosetta: Design, Protocols and Applications
2011 StandoutNobel
An automated tool for detection of FLAIR-hyperintense white-matter lesions in Multiple Sclerosis
2011 Standout
Temporal-Kernel Recurrent Neural Networks
2009 StandoutNobel
Gene selection and classification of microarray data using random forest
2006 Standout
Deep learning in neural networks: An overview
2014 Standout
Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review
2017 Standout
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
2016 Standout
Federated Learning in Mobile Edge Networks: A Comprehensive Survey
2020 Standout
Differential Evolution: A Survey of the State-of-the-Art
2010 Standout
An End-to-End Trainable Neural Network for Image-Based Sequence Recognition and Its Application to Scene Text Recognition
2016 Standout
Extreme learning machine: Theory and applications
2006 Standout
Support vector machines in remote sensing: A review
2010 Standout
Where Do Features Come From?
2013 StandoutNobel
Machine Learning in Medicine
2015 Standout
A tutorial on support vector regression
2004 Standout
Development itself is the key to understanding developmental disorders
1998 Standout
Imperfect Preventive-Maintenance
1979
Many-Layered Learning
2002
Neural network-based face detection
1998 Standout
Optimal Maintenance Policy with Imperfect Preventive Maintenance
1981
A Tutorial on Support Vector Machines for Pattern Recognition
1998 Standout
Optimal maintenance—replacement policy under imperfect maintenance
1992
Estimating the Support of a High-Dimensional Distribution
2001 Standout
Remaining useful life estimation – A review on the statistical data driven approaches
2010 Standout
A Comprehensive Survey on Transfer Learning
2020 Standout
Cost optimization of maintenance scheduling for a system with assured reliability
1992
LIBSVM
2011 Standout
Deep learning for AI
2021 StandoutNobel
Yahoo! for Amazon: Sentiment Extraction from Small Talk on the Web
2007 Standout
Statistical pattern recognition: a review
2000 Standout
Segmentation of multiple sclerosis lesions using support vector machines
2003
Optimal maintenance and replacement policy for a deteriorating system with increased mean downtime
1992
A Review of Recurrent Neural Networks: LSTM Cells and Network Architectures
2019 Standout
Sequential imperfect preventive maintenance policies
1988
Long Short-Term Memory
1997 Standout
Quantum generalisation of feedforward neural networks
2017
Secondary structure prediction with support vector machines
2003
Imperfect maintenance
1996 Standout
Can threshold networks be trained directly?
2006
Classification of hyperspectral remote sensing images with support vector machines
2004 Standout
A Survey of Data Mining and Machine Learning Methods for Cyber Security Intrusion Detection
2015 Standout
Gradient-based learning applied to document recognition
1998 Standout
OpenPose: Realtime Multi-Person 2D Pose Estimation Using Part Affinity Fields
2019 Standout
A survey of maintenance policies of deteriorating systems
2002 Standout
Optimal Age-Policy with Imperfect Preventive Maintenance
1981
Works of T. Downs being referenced
Exact simplification of support vector solutions
2002
Using random weights to train multilayer networks of hard-limiting units
1992
Support Vector methods in learning and feature extraction
1998
The use of random weights for the training of multilayer networks of neurons with Heaviside characteristics
1995
Two Criteria for Preventive Maintenance
1978
A method of training multi-layer networks with heaviside characteristics using internal representations
2002
Boosting the HONG network
2003
General cost functions for support vector regression.
1998
Constructive higher-order network that is polynomial time
1993