Citation Impact
Citing Papers
Slow, Decorrelated Features for Pretraining Complex Cell-like Networks
2009
Dropout: a simple way to prevent neural networks from overfitting
2014 StandoutNobel
Rectified Linear Units Improve Restricted Boltzmann Machines
2010 StandoutNobel
Learning with Local and Global Consistency
2003 Standout
Random Features for Large-Scale Kernel Machines
2007 Standout
Fast and Scalable Local Kernel Machines
2010
Non-Local Manifold Parzen Windows
2005
Learning a Nonlinear Embedding by Preserving Class Neighbourhood Structure
2007 StandoutNobel
Efficient Learning of Deep Boltzmann Machines
2010
Deep Boltzmann machines
2009 StandoutNobel
Large Scale Transductive SVMs
2006
Understanding the difficulty of training deep feedforward neural networks
2010 Standout
Transformation Pursuit for Image Classification
2014
Differential expression analysis for sequence count data
2010 Standout
LAMMPS - a flexible simulation tool for particle-based materials modeling at the atomic, meso, and continuum scales
2021 Standout
The Precision-Recall Plot Is More Informative than the ROC Plot When Evaluating Binary Classifiers on Imbalanced Datasets
2015 Standout
The GeneMANIA prediction server: biological network integration for gene prioritization and predicting gene function
2010 Standout
Fast and Accurate Modeling of Molecular Atomization Energies with Machine Learning
2012 Standout
Decoding Neuronal Ensembles in the Human Hippocampus
2009 StandoutNobel
Optimizing the fMRI data-processing pipeline using prediction and reproducibility performance metrics: I. A preliminary group analysis
2004
Circular analysis in systems neuroscience: the dangers of double dipping
2009 Standout
A performance evaluation of local descriptors
2005 Standout
Barren plateaus in quantum neural network training landscapes
2018 Standout
A Fast Learning Algorithm for Deep Belief Nets
2006 StandoutNobel
Application of support vector machines to 1H NMR data of fish oils: methodology for the confirmation of wild and farmed salmon and their origins
2007
The Perseus computational platform for comprehensive analysis of (prote)omics data
2016 Standout
A survey on deep learning in medical image analysis
2017 Standout
How machine learning can help select capping layers to suppress perovskite degradation
2020 StandoutNobel
Decoding mental states from brain activity in humans
2006 Standout
Deep learning
2015 StandoutNatureNobel
Representation Learning: A Review and New Perspectives
2013 Standout
Neuroscience-Inspired Artificial Intelligence
2017 StandoutNobel
SwissADME: a free web tool to evaluate pharmacokinetics, drug-likeness and medicinal chemistry friendliness of small molecules
2017 Standout
Learning multiple layers of representation
2007 StandoutNobel
Detecting Representations of Recent and Remote Autobiographical Memories in vmPFC and Hippocampus
2012 StandoutNobel
To recognize shapes, first learn to generate images
2007 StandoutNobel
Support vector machines for temporal classification of block design fMRI data
2005
Imagine All the People: How the Brain Creates and Uses Personality Models to Predict Behavior
2013 StandoutNobel
Modeling Natural Images Using Gated MRFs
2013 StandoutNobel
Deep learning in neural networks: An overview
2014 Standout
Deep, Big, Simple Neural Nets for Handwritten Digit Recognition
2010 Standout
Fingerprinting food: current technologies for the detection of food adulteration and contamination
2012 Standout
Taking the Human Out of the Loop: A Review of Bayesian Optimization
2015 Standout
Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review
2017 Standout
Extreme learning machine: Theory and applications
2006 Standout
The WEKA data mining software
2009 Standout
A tutorial on support vector regression
2004 Standout
Reducing the Dimensionality of Data with Neural Networks
2006 StandoutScienceNobel
Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups
2012 StandoutNobel
A better way to learn features
2011 StandoutNobel
Parallel Multistream Training of High-Dimensional Neural Network Potentials
2019
An Efficient Learning Procedure for Deep Boltzmann Machines
2012 StandoutNobel
LIBSVM
2011 Standout
Deep learning for AI
2021 StandoutNobel
Shape matching and object recognition using shape contexts
2002 Standout
Wound Healing: A Cellular Perspective
2018 Standout
A trainable feature extractor for handwritten digit recognition
2006
Recent advances in convolutional neural networks
2017 Standout
Anomaly detection
2009 Standout
Learning to represent visual input
2009 StandoutNobel
Unsupervised Outlier Detection and Semi-Supervised Learning ; CU-CS-976-04
2004
Learning Deep Generative Models
2015
Deep learning for visual understanding: A review
2015
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
2015 Standout
An introduction to kernel-based learning algorithms
2001 Standout
A Parallel Mixture of SVMs for Very Large Scale Problems
2002
Rapid identification of slow healing wounds
2015
Works of Dennis DeCoste being referenced
HD-CNN: Hierarchical Deep Convolutional Neural Networks for Large Scale Visual Recognition
2015
A Modified Finite Newton Method for Fast Solution of Large Scale Linear SVMs
2005
Building Support Vector Machines with Reduced Classifier Complexity
2006
Fast query-optimized kernel machine classification via incremental approximate nearest support vectors
2003
Machine Learning for Science: State of the Art and Future Prospects
2001 Science
Training Invariant Support Vector Machines
2002