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Insights on the different convergences in Extreme Learning Machine

Neurocomputing (Amsterdam), 2024-09, Vol.599, p.128061, Article 128061

2024

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Investigating latent representations and generalization in deep neural networks for tabular data

Neurocomputing (Amsterdam), 2024-09, Vol.597, p.127967, Article 127967

2024

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Optimal training of Mean Variance Estimation neural networks

Neurocomputing (Amsterdam), 2024-09, Vol.597, p.127929, Article 127929

2024

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Scalable bio-inspired training of Deep Neural Networks with FastHebb

Neurocomputing (Amsterdam), 2024-08, Vol.595, p.127867, Article 127867

2024

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Directional cooperative networks

Neurocomputing (Amsterdam), 2024-08, Vol.593, p.127788, Article 127788

2024

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Survey of continuous deep learning methods and techniques used for incremental learning

Neurocomputing (Amsterdam), 2024-05, Vol.582, p.127545, Article 127545

2024

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Meta-learning to calibrate Gaussian processes with deep kernels for regression uncertainty estimation

Neurocomputing (Amsterdam), 2024-04, Vol.579, p.127441, Article 127441

2024

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Distance profile layer for binary classification and density estimation

Neurocomputing (Amsterdam), 2024-04, Vol.579, p.127436, Article 127436

2024

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Guaranteed cost tracking control of constrained input nonlinear uncertain systems using event-based ADP

Neurocomputing (Amsterdam), 2024-03, Vol.572, p.127179, Article 127179

2024

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Model-free intelligent critic design with error analysis for neural tracking control

Neurocomputing (Amsterdam), 2024-03, Vol.572, p.127198, Article 127198

2024

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4Ward: A relayering strategy for efficient training of arbitrarily complex directed acyclic graphs

Neurocomputing (Amsterdam), 2024-02, Vol.568, p.127058, Article 127058

2024

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Decentralized optimal control of large-scale partially unknown nonlinear mismatched interconnected systems based on dynamic event-triggered control

Neurocomputing (Amsterdam), 2024-02, Vol.568, p.127013, Article 127013

2024

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Robust learning of parsimonious deep neural networks

Neurocomputing (Amsterdam), 2024-01, Vol.566, p.127011, Article 127011

2024

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Neuron importance based verification of neural networks via divide and conquer

Neurocomputing (Amsterdam), 2024-01, Vol.565, p.126995, Article 126995

2024

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Optimal bipartite consensus for discrete-time multi-agent systems with event-triggered mechanism based on adaptive dynamic programming

Neurocomputing (Amsterdam), 2024-01, Vol.564, p.126965, Article 126965

2024

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Multi-scroll and coexisting attractors in a Hopfield neural network under electromagnetic induction and external stimuli

Neurocomputing (Amsterdam), 2024-01, Vol.564, p.126961, Article 126961

2024

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Dynamic compensator-based near-optimal control for unknown nonaffine systems via integral reinforcement learning

Neurocomputing (Amsterdam), 2024-01, Vol.564, p.126973, Article 126973

2024

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Noise is the fatal poison: A Noise-aware Network for noisy dataset classification

Neurocomputing (Amsterdam), 2024-01, Vol.563, p.126829, Article 126829

2024

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A review of Graph Neural Networks for Electroencephalography data analysis

Neurocomputing (Amsterdam), 2023-12, Vol.562, p.126901, Article 126901

2023

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Computationally efficient neural hybrid automaton framework for learning complex dynamics

Neurocomputing (Amsterdam), 2023-12, Vol.562, p.126879, Article 126879

2023

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Neural Network-Based Sliding Mode Controllers Applied to Robot Manipulators: A Review

Neurocomputing (Amsterdam), 2023-12, Vol.562, p.126896, Article 126896

2023

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Adaptive control for output projective synchronization of fractional-order hybrid coupled neural networks with mismatched dimensions

Neurocomputing (Amsterdam), 2023-11, Vol.558, p.126738, Article 126738

2023

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Comprehensive review on vehicle Detection, classification and counting on highways

Neurocomputing (Amsterdam), 2023-11, Vol.556, p.126627, Article 126627

2023

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Constraint guided gradient descent: Training with inequality constraints with applications in regression and semantic segmentation

Neurocomputing (Amsterdam), 2023-11, Vol.556, p.126636, Article 126636

2023

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Contrastively enforcing distinctiveness for multi-label image classification

Neurocomputing (Amsterdam), 2023-10, Vol.555, p.126605, Article 126605

2023

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Insights on the different convergences in Extreme Learning Machine

Investigating latent representations and generalization in deep neural networks for tabular data

Optimal training of Mean Variance Estimation neural networks

Scalable bio-inspired training of Deep Neural Networks with FastHebb

Directional cooperative networks

Survey of continuous deep learning methods and techniques used for incremental learning

Meta-learning to calibrate Gaussian processes with deep kernels for regression uncertainty estimation

Distance profile layer for binary classification and density estimation

Guaranteed cost tracking control of constrained input nonlinear uncertain systems using event-based ADP

Model-free intelligent critic design with error analysis for neural tracking control

4Ward: A relayering strategy for efficient training of arbitrarily complex directed acyclic graphs

Decentralized optimal control of large-scale partially unknown nonlinear mismatched interconnected systems based on dynamic event-triggered control

Robust learning of parsimonious deep neural networks

Neuron importance based verification of neural networks via divide and conquer

Optimal bipartite consensus for discrete-time multi-agent systems with event-triggered mechanism based on adaptive dynamic programming

Multi-scroll and coexisting attractors in a Hopfield neural network under electromagnetic induction and external stimuli

Dynamic compensator-based near-optimal control for unknown nonaffine systems via integral reinforcement learning

Noise is the fatal poison: A Noise-aware Network for noisy dataset classification

A review of Graph Neural Networks for Electroencephalography data analysis

Computationally efficient neural hybrid automaton framework for learning complex dynamics

Neural Network-Based Sliding Mode Controllers Applied to Robot Manipulators: A Review

Adaptive control for output projective synchronization of fractional-order hybrid coupled neural networks with mismatched dimensions

Comprehensive review on vehicle Detection, classification and counting on highways

Constraint guided gradient descent: Training with inequality constraints with applications in regression and semantic segmentation

Contrastively enforcing distinctiveness for multi-label image classification

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