Citation Impact
Citing Papers
EIE
2016
Skeletonization: A Technique for Trimming the Fat from a Network via Relevance Assessment
1988
Dynamic behavior of constrained back propagation networks
1990 StandoutNobel
Optimal Brain Damage
1989
Two Distributed-State Models For Generating High-Dimensional Time Series
2011 StandoutNobel
Neural networks in geophysical applications
2000
Symbolic and Neural Learning Algorithms: An Experimental Comparison
1991
Pruning algorithms-a survey
1993
Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning
2018 Standout
Machine learning for molecular and materials science
2018 StandoutNature
A Fast Learning Algorithm for Deep Belief Nets
2006 StandoutNobel
Deep learning and process understanding for data-driven Earth system science
2019 StandoutNature
Neuroscience-Inspired Artificial Intelligence
2017 StandoutNobel
A simple procedure for pruning back-propagation trained neural networks
1990
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
2021 Standout
Using Deep Learning for Image-Based Plant Disease Detection
2016 Standout
Deep learning in neural networks: An overview
2014 Standout
Flat Minima
1997
Machine learning: Trends, perspectives, and prospects
2015 StandoutScience
Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review
2017 Standout
Machine learning for data-driven discovery in solid Earth geoscience
2019 StandoutScience
Deep Multitask Learning for Railway Track Inspection
2016 Standout
Perturbation response in feedforward networks
1994
A Practical Bayesian Framework for Backpropagation Networks
1992 Standout
Knowledge-based artificial neural networks
1994
Lifelong robot learning
1995
Federated Learning in Mobile Edge Networks: A Comprehensive Survey
2020 Standout
Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms
1998 Standout
MoleculeNet: a benchmark for molecular machine learning
2017 Standout
Artificial Neural Network Modeling of the Rainfall‐Runoff Process
1995 Standout
Model Compression and Hardware Acceleration for Neural Networks: A Comprehensive Survey
2020 Standout
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 Standout
Deep learning with coherent nanophotonic circuits
2017 Standout
Extracting comprehensible models from trained neural networks
1996
Nonlinear principal component analysis using autoassociative neural networks
1991 Standout
Neural networks for short-term load forecasting: a review and evaluation
2001 Standout
Forecasting with artificial neural networks:
1998 Standout
Neuro-fuzzy modeling and control
1995 Standout
Model Compression and Acceleration for Deep Neural Networks: The Principles, Progress, and Challenges
2018
Shifting Inductive Bias with Success-Story Algorithm, Adaptive Levin Search, and Incremental Self-Improvement
1997
Improving generalization with active learning
1994
Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?
2016 Standout
Simplifying Neural Networks by Soft Weight-Sharing
1992 StandoutNobel
Deep learning with long short-term memory networks for financial market predictions
2017 Standout
Bayesian Compressive Sensing
2008 Standout
Digital Reticular Chemistry
2020 StandoutNobel
Noise injection into inputs in back-propagation learning
1992
Efficient Processing of Deep Neural Networks: A Tutorial and Survey
2017 Standout
Much ado about nothing? Exchange rate forecasting: Neural networks vs. linear models using monthly and weekly data
1996
Structure Learning in Conditional Probability Models via an Entropic Prior and Parameter Extinction
1999
A survey of deep neural network architectures and their applications
2016 Standout
Extracting Refined Rules from Knowledge-Based Neural Networks
1993
KNOWLEDGE TRANSFER IN DEEP CONVOLUTIONAL NEURAL NETS
2008
Multitask Learning
1997 Standout
Factors of Transferability for a Generic ConvNet Representation
2015
Deep learning and its applications to machine health monitoring
2018 Standout
Recent advances in convolutional neural networks
2017 Standout
A New Convolutional Neural Network-Based Data-Driven Fault Diagnosis Method
2017 Standout
Extracting refined rules from knowledge-based neural networks
1993
Improving Generalization with Active Learning
1994
A Survey on Transfer Learning
2009 Standout
Applications of machine learning to machine fault diagnosis: A review and roadmap
2020 Standout
Neural-network-based fuzzy logic control and decision system
1991
Dynamic Node Creation in Backpropagation Networks
1989
Object Detection in 20 Years: A Survey
2023 Standout
Deep Learning for Generic Object Detection: A Survey
2019 Standout
Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions
2005 Standout
Extracting Hidden Context
1998
Artificial neural networks (the multilayer perceptron)—a review of applications in the atmospheric sciences
1998 Standout
Data mining: concepts and techniques
2012 Standout
A survey on concept drift adaptation
2014 Standout
Recent advances in artificial intelligence and machine learning for nonlinear relationship analysis and process control in drinking water treatment: A review
2020 Standout
Deep learning with convolutional neural networks for EEG decoding and visualization
2017 Standout
Neural Networks and the Bias/Variance Dilemma
1992 Standout
Deep Learning in Medical Image Analysis
2017 Standout
FPGA-Based Accelerators of Deep Learning Networks for Learning and Classification: A Review
2018
Deep learning in agriculture: A survey
2018 Standout
From generic to specific deep representations for visual recognition
2015
Works of Lorien Pratt being referenced
Discriminability-Based Transfer between Neural Networks
1992
Comparing Biases for Minimal Network Construction with Back-Propagation
1988
Direct transfer of learned information among neural networks
1991
A Survey of Transfer Between Connectionist Networks
1996