Citation Impact
Citing Papers
Learning Efficient Convolutional Networks through Network Slimming
2017 Standout
Recent advances in physical reservoir computing: A review
2019 Standout
Time Series Classification in Reservoir- and Model-Space
2017
Oculopharyngeal Muscular Dystrophy
1999
The muscular dystrophies
2002 Standout
Weight perturbation: an optimal architecture and learning technique for analog VLSI feedforward and recurrent multilayer networks
1992
Management of biological sewage sludge: Fertilizer nitrogen recovery as the solution to fertilizer crisis
2022 Standout
Multiplication-free radial basis function network
1996
To recognize shapes, first learn to generate images
2007 StandoutNobel
Deep Learning‐Based Crack Damage Detection Using Convolutional Neural Networks
2017 Standout
Future Intelligent and Secure Vehicular Network Toward 6G: Machine-Learning Approaches
2019 Standout
Soil moisture forecasting by a hybrid machine learning technique: ELM integrated with ensemble empirical mode decomposition
2018
Big Data Deep Learning: Challenges and Perspectives
2014
A non-iterative decomposition-ensemble learning paradigm using RVFL network for crude oil price forecasting
2017
Artificial intelligence for fault diagnosis of rotating machinery: A review
2018 Standout
Nonlinear identification using a B-spline neural network and chaotic immune approaches
2009
Probabilistic Knowledge Transfer for Lightweight Deep Representation Learning
2020
Federated Learning in Mobile Edge Networks: A Comprehensive Survey
2020 Standout
Extremely Low Bit Neural Network: Squeeze the Last Bit Out With ADMM
2018
Investigating Echo-State Networks Dynamics by Means of Recurrence Analysis
2016
Artificial Neural Network Modeling of the Rainfall‐Runoff Process
1995 Standout
Model Compression and Hardware Acceleration for Neural Networks: A Comprehensive Survey
2020 Standout
Piecewise Polynomial Activation Functions for Feedforward Neural Networks
2019
Online Detection of Broken Rotor Bars in Induction Motors by Wavelet Packet Decomposition and Artificial Neural Networks
2009
Using neural networks to represent potential surfaces as sums of products
2006
Fatigue crack growth estimation by relevance vector machine
2012
Nonlinearly Activated Neural Network for Solving Time-Varying Complex Sylvester Equation
2013 Standout
A Deep Learning Approach for Intrusion Detection Using Recurrent Neural Networks
2017 Standout
A Survey on Testing and Monitoring Methods for Stator Insulation Systems of Low-Voltage Induction Machines Focusing on Turn Insulation Problems
2008
Energy consumption prediction of office buildings based on echo state networks
2016
RMAF: Relu-Memristor-Like Activation Function for Deep Learning
2020
A review of data-driven building energy consumption prediction studies
2017 Standout
Random vector functional link network for short-term electricity load demand forecasting
2016 Standout
Robust H//sub∞/ controller design with recurrent neural network for linear synchronous motor drive
2003
Nonlinear system identification in structural dynamics: 10 more years of progress
2016 Standout
A simple and efficient architecture for trainable activation functions
2019
ARMA based approaches for forecasting the tuple of wind speed and direction
2010 Standout
Knowledge Distillation: A Survey
2021 Standout
Approximation by Fully Complex Multilayer Perceptrons
2003
Support vector machine techniques for nonlinear equalization
2000
Grey-box identification of a non-linear solar array structure using cubic splines
2014
Review on deep learning applications in frequency analysis and control of modern power system
2021 Standout
Applications of neural networks to digital communications – a survey
2000
Remaining useful life predictions for turbofan engine degradation using semi-supervised deep architecture
2018 Standout
Low-Complexity Approximate Convolutional Neural Networks
2018
Deep Learning for RF Device Fingerprinting in Cognitive Communication Networks
2018
Speech-music discrimination using deep visual feature extractors
2018
A systematic literature review on machine learning applications for sustainable agriculture supply chain performance
2020 Standout
Molecular Docking: Shifting Paradigms in Drug Discovery
2019 Standout
A review on the forecasting of wind speed and generated power
2008 Standout
Application of evolutionary algorithm to design minimal phase digital filters with non-standard amplitude characteristics and finite bit word length
2011
Opportunities and Challenges of Wireless Sensor Networks in Smart Grid
2010 Standout
AI techniques in induction machines diagnosis including the speed ripple effect
1998
An Edge Traffic Flow Detection Scheme Based on Deep Learning in an Intelligent Transportation System
2020 Standout
A Survey on Wind Turbine Condition Monitoring and Fault Diagnosis—Part I: Components and Subsystems
2015 Standout
Machinery health prognostics: A systematic review from data acquisition to RUL prediction
2017 Standout
Enhanced probabilistic neural network with local decision circles: A robust classifier
2010
Maximum Length Weighted Nearest Neighbor approach for electricity load forecasting
2015
Adaptive Activation Functions for Deep Networks
2016
An Introduction to Deep Learning for the Physical Layer
2017 Standout
Speed Control for PMSM Servo System Using Predictive Functional Control and Extended State Observer
2011 Standout
A locally recurrent fuzzy neural network with application to the wind speed prediction using spatial correlation
2006
Comparison of Embedded System Design for Industrial Applications
2011 Standout
Randomness in neural networks: an overview
2017
A comprehensive evaluation of random vector functional link networks
2015
A review on time series forecasting techniques for building energy consumption
2017 Standout
A Survey on IoT Security: Application Areas, Security Threats, and Solution Architectures
2019 Standout
On representing chemical environments
2013 Standout
Multigait soft robot
2011 Standout
Current methods and advances in forecasting of wind power generation
2011 Standout
Condition Monitoring and Fault Diagnosis of Electrical Motors—A Review
2005 Standout
A novel machine learning-based approach for prediction of nitrogen content in hydrochar from hydrothermal carbonization of sewage sludge
2021
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
Locally recurrent neural networks for long-term wind speed and power prediction
2005
Comparison of Parallel Genetic Algorithm and Particle Swarm Optimization for Real-Time UAV Path Planning
2012 Standout
Object Detection With Deep Learning: A Review
2019 Standout
A Survey of Deep Learning and Its Applications: A New Paradigm to Machine Learning
2019 Standout
Multi-step forecasting for wind speed using a modified EMD-based artificial neural network model
2011 Standout
Extreme learning machines: a survey
2011 Standout
Reservoir Computing with an Ensemble of Time-Delay Reservoirs
2017
Communication channel equalization using complex-valued minimal radial basis function neural networks
2002
A Lite Distributed Semantic Communication System for Internet of Things
2020 Standout
Locally recurrent neural networks for wind speed prediction using spatial correlation
2007
A new forecasting model with wrapper-based feature selection approach using multi-objective optimization technique for chaotic crude oil time series
2020 Standout
Fuzziness based semi-supervised learning approach for intrusion detection system
2016
Using and designing massively parallel computers for artificial neural networks
1992
Deep Reinforcement Learning Assisted Federated Learning Algorithm for Data Management of IIoT
2021 Standout
Deep learning for time series classification: a review
2019 Standout
Application of AI tools in fault diagnosis of electrical machines and drives-an overview
2003
Neural networks for the prediction and forecasting of water resources variables: a review of modelling issues and applications
2000 Standout
Stabilizing and robustifying the learning mechanisms of artificial neural networks in control engineering applications
2000
Advances in Diagnostic Techniques for Induction Machines
2008 Standout
A Pulsed Neural Network With On-Chip Learning and Its Practical Applications
2007
Works of Aurelio Uncini being referenced
Learning from Distributed Data Sources Using Random Vector Functional-Link Networks
2015
Group sparse regularization for deep neural networks
2017
Multilayer feedforward networks with adaptive spline activation function
1999
Regularising neural networks using flexible multivariate activation function
2003
Prediction of telephone calls load using Echo State Network with exogenous variables
2015
Blind signal processing by complex domain adaptive spline neural networks
2003
Fast neural networks without multipliers
1993
On-line learning algorithms for locally recurrent neural networks
1999
Kafnets: Kernel-based non-parametric activation functions for neural networks
2019
FLEXIBLE NONLINEAR BLIND SIGNAL SEPARATION IN THE COMPLEX DOMAIN
2008
Neural network architectures for fault diagnosis and parameter recognition in induction machines
2002
A new IIR-MLP learning algorithm for on-line signal processing
2002
Semi-supervised Echo State Networks for Audio Classification
2016
Causal back propagation through time for locally recurrent neural networks
2002
GCG genetic expansions in Italian patients with oculopharyngeal muscular dystrophy
2000
Widely Linear Kernels for Complex-valued Kernel Activation Functions
2019
Complex-valued neural networks with adaptive spline activation function for digital-radio-links nonlinear equalization
1999
On-line learning algorithms for neural networks with IIR synapses
2002
Non linear satellite radio links equalized using blind neural networks
1991
finite wordlength digital filter design using an annealing algorithm
2003
A neural network approach to data predistortion with memory in digital radio systems
2002
Distributed learning for Random Vector Functional-Link networks
2015
Multi-layer perceptrons with discrete weights
1990
Learning and Approximation Capabilities of Adaptive Spline Activation Function Neural Networks
1998
Music classification using extreme learning machines
2013
A semi-supervised random vector functional-link network based on the transductive framework
2015
Complex-valued neural networks with nonparametric activation functions
2020
Fully Decentralized Semi-supervised Learning via Privacy-preserving Matrix Completion
2016