Citation Impact
Citing Papers
Training RBMs Based on the Signs of the CD Approximation of the Log-likelihood Derivatives
2011
Rainfall–runoff modelling using Long Short-Term Memory (LSTM) networks
2018 Standout
Electrocardiogram generation with a bidirectional LSTM-CNN generative adversarial network
2019 Standout
Recent advances in physical reservoir computing: A review
2019 Standout
Understanding managers’ attitudes and behavioral intentions towards using artificial intelligence for organizational decision-making
2021 Standout
Scoring functions for protein–protein interactions
2013 StandoutNobel
Multiobjective Hybrid Optimization and Training of Recurrent Neural Networks
2008
Constructive Autoassociative Neural Network for Facial Recognition
2014
Large-Scale Transportation Network Congestion Evolution Prediction Using Deep Learning Theory
2015
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
The dual role of fragments in fragment‐assembly methods for de novo protein structure prediction
2011 StandoutNobel
Trends in extreme learning machines: A review
2014 Standout
Deep learning and process understanding for data-driven Earth system science
2019 StandoutNature
Neuroscience-Inspired Artificial Intelligence
2017 StandoutNobel
Using Deep Learning for Image-Based Plant Disease Detection
2016 Standout
Deep learning in neural networks: An overview
2014 Standout
Machine learning: Trends, perspectives, and prospects
2015 StandoutScience
Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review
2017 Standout
Deep learning for sensor-based activity recognition: A survey
2018 Standout
Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction
2017 Standout
Pareto-Based Multiobjective Machine Learning: An Overview and Case Studies
2008
A review of unsupervised feature learning and deep learning for time-series modeling
2014
Federated Learning in Mobile Edge Networks: A Comprehensive Survey
2020 Standout
MoleculeNet: a benchmark for molecular machine learning
2017 Standout
A novel method for intelligent fault diagnosis of rolling bearings using ensemble deep auto-encoders
2017 Standout
Entropy and Correntropy Against Minimum Square Error in Offline and Online Three-Day Ahead Wind Power Forecasting
2009
Digitalization and AI in European Agriculture: A Strategy for Achieving Climate and Biodiversity Targets?
2021 Standout
Deep neural networks: A promising tool for fault characteristic mining and intelligent diagnosis of rotating machinery with massive data
2015 Standout
Deep learning with coherent nanophotonic circuits
2017 Standout
Nonlinearly Activated Neural Network for Solving Time-Varying Complex Sylvester Equation
2013 Standout
Accelerating a Recurrent Neural Network to Finite-Time Convergence for Solving Time-Varying Sylvester Equation by Using a Sign-Bi-power Activation Function
2012
Design and Analysis of FTZNN Applied to the Real-Time Solution of a Nonstationary Lyapunov Equation and Tracking Control of a Wheeled Mobile Manipulator
2017 Standout
Operator adaptation in evolutionary computation and its application to structure optimization of neural networks
2003
A Deep Learning Approach for Intrusion Detection Using Recurrent Neural Networks
2017 Standout
An effective multivariate time series classification approach using echo state network and adaptive differential evolution algorithm
2015
Deep learning for healthcare: review, opportunities and challenges
2017 Standout
Big Data Analytics in Intelligent Transportation Systems: A Survey
2018 Standout
Weighting Efficient Accuracy and Minimum Sensitivity for Evolving Multi-Class Classifiers
2011
Deep learning with long short-term memory networks for financial market predictions
2017 Standout
A systematic literature review on machine learning applications for sustainable agriculture supply chain performance
2020 Standout
Hierarchical Neural Networks for Image Interpretation
2003
Digital Reticular Chemistry
2020 StandoutNobel
Weighted dynamic time warping for time series classification
2010
Learning from class-imbalanced data: Review of methods and applications
2016 Standout
Evolutionary multi-objective generation of recurrent neural network ensembles for time series prediction
2014
A survey of deep neural network architectures and their applications
2016 Standout
Comprehensive Review of Artificial Neural Network Applications to Pattern Recognition
2019 Standout
Deep learning and its applications to machine health monitoring
2018 Standout
A New Convolutional Neural Network-Based Data-Driven Fault Diagnosis Method
2017 Standout
Evolutionary Fuzzy ARTMAP Neural Networks for Classification of Semiconductor Defects
2014
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
Bi-modal derivative adaptive activation function sigmoidal feedforward artificial neural networks
2017
Multiobjective Evolution of Biped Robot Gaits Using Advanced Continuous Ant-Colony Optimized Recurrent Neural Networks
2017 Standout
A vision-based motion capture and recognition framework for behavior-based safety management
2013 Standout
Time series forecasting of petroleum production using deep LSTM recurrent networks
2018 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
Training restricted Boltzmann machines: An introduction
2013
Deep learning with convolutional neural networks for EEG decoding and visualization
2017 Standout
Artificial Neural Networks-Based Machine Learning for Wireless Networks: A Tutorial
2019 Standout
A New Deep Transfer Learning Based on Sparse Auto-Encoder for Fault Diagnosis
2017 Standout
Deep Learning in Medical Image Analysis
2017 Standout
Bi-modal derivative activation function for sigmoidal feedforward networks
2014
A Cycle Deep Belief Network Model for Multivariate Time Series Classification
2017
Deep learning for time series classification: a review
2019 Standout
Deep learning in agriculture: A survey
2018 Standout
Works of Michael Hüsken being referenced
Balancing learning and evolution
2002
Recurrent neural networks for time series classification
2003
Empirical evaluation of the improved Rprop learning algorithms
2003