yusuke1997/dblp-id-title huggingface dataset:
Editorial IEEE Transactions on Neural Networks: Editorial Report and Passing the Baton Jacek M. Zurada (left) and Marios M. Polycarpou
State Abstraction via Deep Supervised Hash Learning
A neurocomputational model of figure-ground discrimination and target tracking
Complex Robotic Manipulation via Graph-Based Hindsight Goal Generation
Incremental Incomplete Concept-Cognitive Learning Model: A Stochastic Strategy
Recursive Neural Networks for Density Estimation Over Generalized Random Graphs
Localized Multiple Kernel Learning With Dynamical Clustering and Matrix Regularization
SRN: Side-Output Residual Network for Object Reflection Symmetry Detection and Beyond
Supervised neural networks for the classification of structures
Temporal Autoregressive Matrix Factorization for High-Dimensional Time Series Prediction of OSS
Nonlinear System Modeling With Random Matrices: Echo State Networks Revisited
LCwmcaR: Learning Cross-Window Cross-Modality Correlation-Aware Representation for Human Activity Recognition
Adaptive control using neural networks and approximate models
Event-Triggered Mixed Nonzero-Sum Game Optimal Control for Modular Robotic Manipulator Performing Coordinated Operation Tasks
On the weight convergence of Elman networks
Borrowing channel assignment strategies based on heuristic techniques for cellular systems
Power Quality Analysis Using a Hybrid Model of the Fuzzy Min-Max Neural Network and Clustering Tree
Multiagent Soft Actor-Critic Based Hybrid Motion Planner for Mobile Robots
Multilayer Potts Perceptrons With Levenberg-Marquardt Learning
Distribution Modeling of Nonlinear Inverse Controllers Under a Bayesian Framework
Item Relationship Graph Neural Networks for E-Commerce
Defocus Blur Detection Attack via Mutual-Referenced Feature Transfer
Spatio-Temporal Graph Representation Learning for Fraudster Group Detection
Adaptive Synaptic Scaling in Spiking Networks for Continual Learning and Enhanced Robustness
Asynchronous self-organizing maps
Multiscale Curvelet Scattering Network
Multigranularity Surrogate Modeling for Evolutionary Multiobjective Optimization With Expensive Constraints
CASNet: A Cross-Attention Siamese Network for Video Salient Object Detection
Relevance-Based Feature Extraction for Hyperspectral Images
PID Controller-Based Stochastic Optimization Acceleration for Deep Neural Networks
Neural Network Gaussian Processes by Increasing Depth
Dynamic Modeling Cross-Modal Interactions in Two-Phase Prediction for Entity-Relation Extraction
An Advanced Optimal Tracking Control for Nonlinear Discrete-Time Systems Based on (N + 1)-Step Gradient Learning
Interactive Lexical and Semantic Graphs for Semisupervised Relation Extraction
Training-Free Deep Generative Networks for Compressed Sensing of Neural Action Potentials
Globally Adaptive Neural Network Output-Feedback Control for Uncertain Nonlinear Systems
Neural network using longitudinal modes of an injection laser with external feedback
Predicting miRNA-Disease Associations Through Deep Autoencoder With Multiple Kernel Learning
Adaptive Neural Control for MIMO Pure-Feedback Nonlinear Systems With Periodic Disturbances
Design and analysis of a general recurrent neural network model for time-varying matrix inversion
Robust Environmental Sound Recognition With Sparse Key-Point Encoding and Efficient Multispike Learning
SEPARATE: a machine learning method based on semi-global partitions
Sparse approximation through boosting for learning large scale kernel machines
Hidden control neural architecture modeling of nonlinear time varying systems and its applications
Neural Network Controller Development and Implementation for Spark Ignition Engines With High EGR Levels
Neural-network-based adaptive leader-following control for multiagent systems with uncertainties
Identifying Appropriate Intellectual Property Protection Mechanisms for Machine Learning Models: A Systematization of Watermarking, Fingerprinting, Model Access, and Attacks
Hue Guidance Network for Single Image Reflection Removal
Modified Sparse Linear-Discriminant Analysis via Nonconvex Penalties
Trial-and-error correlation learning
Sampled-Data Synchronization Analysis of Markovian Neural Networks With Generally Incomplete Transition Rates
Neuromorphic walking gait control
Fast and Efficient Second-Order Method for Training Radial Basis Function Networks
Identification and decentralized adaptive control using dynamical neural networks with application to robotic manipulators
A reinforcement discrete neuro-adaptive control for unknown piezoelectric actuator systems with dominant hysteresis
Maximum Correntropy Filtering for Complex Networks With Uncertain Dynamical Bias: Enabling Componentwise Event-Triggered Transmission
Task Similarity Estimation Through Adversarial Multitask Neural Network
A Novel Learning Algorithm to Optimize Deep Neural Networks: Evolved Gradient Direction Optimizer (EVGO)
Neural Network Design for Impedance Modeling of Power Electronic Systems Based on Latent Features
Physics-Informed Neural Networks for Solving Forward and Inverse Problems in Complex Beam Systems
Hierarchical Contrastive Learning for Semantic Segmentation
Large Margin Partial Label Machine
4S-DT: Self-Supervised Super Sample Decomposition for Transfer Learning With Application to COVID-19 Detection
Causal Discovery on Discrete Data via Weighted Normalized Wasserstein Distance
One Size Fits All: A Unified Traffic Predictor for Capturing the Essential Spatial-Temporal Dependency
WalkGAN: Network Representation Learning With Sequence-Based Generative Adversarial Networks
Physics-Informed Explainable Continual Learning on Graphs
Neural Network Implementation Using Bit Streams
Block-Wise Partner Learning for Model Compression
A Dirichlet process mixture of generalized Dirichlet distributions for proportional data modeling
Semi-Supervised Dimension Reduction Using Trace Ratio Criterion
A new neural network for solving linear and quadratic programming problems
Self-Organizing Approximation-Based Control for Higher Order Systems
Substructural Regularization With Data-Sensitive Granularity for Sequence Transfer Learning
A constructive approach for finding arbitrary roots of polynomials by neural networks
New Delay-Dependent Stability Criteria for Neural Networks With Time-Varying Delay Using Delay-Decomposition Approach
Balanced Decoupled Spatial Convolution for CNNs
Multidimensional Pruning and Its Extension: A Unified Framework for Model Compression
RGP: Neural Network Pruning Through Regular Graph With Edges Swapping
Model Compression Hardens Deep Neural Networks: A New Perspective to Prevent Adversarial Attacks
Image-Specific Classification With Local and Global Discriminations
Multimodal Degradation Prognostics Based on Switching Kalman Filter Ensemble
FEM-based neural-network approach to nonlinear modeling with application to longitudinal vehicle dynamics control
Thresholding neural network for adaptive noise reduction
Social Neighborhood Graph and Multigraph Fusion Ranking for Multifeature Image Retrieval
Event-Triggered Generalized Dissipativity Filtering for Neural Networks With Time-Varying Delays
An analysis of noise in recurrent neural networks: convergence and generalization
Learning Multiple Parameters for Kernel Collaborative Representation Classification
Turing Instability and Hopf Bifurcation in 2-D Coupled Cellular Neural Networks
Efficient Implementation of Second-Order Stochastic Approximation Algorithms in High-Dimensional Problems
Robust Rank-One Matrix Completion via Explicit Regularizer
Communication-Efficient Split Learning via Adaptive Feature-Wise Compression
Composite-Learning-Based Adaptive Neural Control for Dual-Arm Robots With Relative Motion
A Survey of Modulation Classification Using Deep Learning: Signal Representation and Data Preprocessing
Learning by natural gradient on noncompact matrix-type pseudo-Riemannian manifolds
Error Minimized Extreme Learning Machine With Growth of Hidden Nodes and Incremental Learning
Adaptive Learning Rate Methods for Complex-Valued Neural Networks
Domain Adaptation as Optimal Transport on Grassmann Manifolds
Dynamic Event-Based Control for Stochastic Optimal Regulation of Nonlinear Networked Control Systems
Stability Criteria for Recurrent Neural Networks With Time-Varying Delay Based on Secondary Delay Partitioning Method
Multibranch CNN With MLP-Mixer-Based Feature Exploration for High-Performance Disease Diagnosis
Analysis of the effects of quantization in multilayer neural networks using a statistical model
Automated Social Text Annotation With Joint Multilabel Attention Networks
Support Vector Machines for Nonlinear Kernel ARMA System Identification
Tactile Transfer Learning and Object Recognition With a Multifingered Hand Using Morphology Specific Convolutional Neural Networks
Flow Adversarial Networks: Flowrate Prediction for Gas-Liquid Multiphase Flows Across Different Domains
Set-Membership Estimation for Complex Networks Subject to Linear and Nonlinear Bounded Attacks
A novel training scheme for multilayered perceptrons to realize proper generalization and incremental learning
Guest Editorial Robust Learning of Spatio-Temporal Point Processes: Modeling, Algorithm, and Applications
A New Method for Data Stream Mining Based on the Misclassification Error
Neural mechanisms of scene segmentation: recordings from the visual cortex suggest basic circuits for linking field models
Major-Minor Long Short-Term Memory for Word-Level Language Model
Training Generative Adversarial Networks via Stochastic Nash Games
Global Stabilization of Fractional-Order Memristor-Based Neural Networks With Time Delay
Event-Triggered Asynchronous Guaranteed Cost Control for Markov Jump Discrete-Time Neural Networks With Distributed Delay and Channel Fading
Adaptive Kernel Value Caching for SVM Training
Vector Quantization-Based Clustered Federated Learning With Global Feature Anchors for Improved Representation and Generalization
Self-organizing network for optimum supervised learning
Adaptive Dynamic Output Feedback Neural Network Control of Uncertain MIMO Nonlinear Systems With Prescribed Performance
Neural Network Filtering Control Design for Nontriangular Structure Switched Nonlinear Systems in Finite Time
Hyperbolic Binary Neural Network
Predictor-Based Neural Dynamic Surface Control for Uncertain Nonlinear Systems in Strict-Feedback Form
Finite- and Fixed-Time Cluster Synchronization of Nonlinearly Coupled Delayed Neural Networks via Pinning Control
MCMC: Multi-Constrained Model Compression via One-Stage Envelope Reinforcement Learning
Intelligent Visual Recognition and Classification of Cork Tiles With Neural Networks
LGGNet: Learning From Local-Global-Graph Representations for Brain-Computer Interface
Learning Deep Landmarks for Imbalanced Classification
Recurrent Neural Networks Are Universal Approximators With Stochastic Inputs
Event/Self-Triggered Control for Leader-Following Consensus Over Unreliable Network With DoS Attacks
Local Learning Enabled Iterative Linear Quadratic Regulator for Constrained Trajectory Planning
K-winners-take-all circuit with O(N) complexity
FRCL-MNER: A Finer Grained Rank-Based Contrastive Learning Framework for Multimodal NER
A new design method for the complex-valued multistate Hopfield associative memory
Simplifying mixture models through function approximation
Neural-Network-Based Robust Optimal Tracking Control for MIMO Discrete-Time Systems With Unknown Uncertainty Using Adaptive Critic Design
Adaptive critic designs
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain
Individual Stable Space: An Approach to Face Recognition Under Uncontrolled Conditions
Bounds on the number of samples needed for neural learning
Exploring Brain Effective Connectivity Networks Through Spatiotemporal Graph Convolutional Models
Classifying Stress From Heart Rate Variability Using Salivary Biomarkers as Reference
Bi-Level Spectral Feature Selection
Deformation-Resilient Multigranularity Learning for Unaligned RGB-T Semantic Segmentation
Solving Nonstationary Classification Problems With Coupled Support Vector Machines
Top-k Feature Selection Framework Using Robust 0-1 Integer Programming
Random Sketching for Neural Networks With ReLU
RBFNN-based hole identification system in conducting plates
Clipping in Neurocontrol by Adaptive Dynamic Programming
Dynamical Modeling and Qualitative Analysis of a Delayed Model for CD8 T Cells in Response to Viral Antigens
Robust Stochastic Gradient Descent With Student-t Distribution Based First-Order Momentum
Complex-Valued Recurrent Correlation Neural Networks
Optimal Control of Propagating Fronts by Using Level Set Methods and Neural Approximations
Weight decay and resolution effects in feedforward artificial neural networks
Switched-Observer-Based Adaptive Neural Control of MIMO Switched Nonlinear Systems With Unknown Control Gains
Advancing Hyperspectral and Multispectral Image Fusion: An Information-Aware Transformer-Based Unfolding Network
Safe Physics-Informed Machine Learning for Optimal Predefined-Time Stabilization: A Lyapunov-Based Approach
Observer-Based Quasi-Synchronization of Delayed Dynamical Networks With Parameter Mismatch Under Impulsive Effect
Decentralized Dimensionality Reduction for Distributed Tensor Data Across Sensor Networks
Stable dynamic backpropagation learning in recurrent neural networks
IEEE Transactions on Neural Networks and Learning Systems Special Issue on Causal Discovery and Causality-Inspired Machine Learning
Memory-Dependent Computation and Learning in Spiking Neural Networks Through Hebbian Plasticity
Cutting plane method for continuously constrained kernel-based regression
Dual-Path Deep Fusion Network for Face Image Hallucination
Biased Random Forest For Dealing With the Class Imbalance Problem
Sparse Distributed Memory Using Rank-Order Neural Codes
Filter Pruning Based on Information Capacity and Independence
A Segmented Iterative Learning Scheme-Based Distributed Fault Estimation for Switched Interconnected Nonlinear Systems
A Survey on Evolutionary Neural Architecture Search
Fast Inference Predictive Coding: A Novel Model for Constructing Deep Neural Networks
Graph-Based Bayesian Optimization for Large-Scale Objective-Based Experimental Design
Event-Triggered Guarantee Cost Control for Partially Unknown Stochastic Systems via Explorized Integral Reinforcement Learning Strategy
Terminal Sliding Mode-Based Consensus Tracking Control for Networked Uncertain Mechanical Systems on Digraphs
Passivity and Output Synchronization of Complex Dynamical Networks With Fixed and Adaptive Coupling Strength
Data-Based Robust Multiobjective Optimization of Interconnected Processes: Energy Efficiency Case Study in Papermaking
Observer-Based Robust Coordinated Control of Multiagent Systems With Input Saturation
LINFINITY Analysis and State-Feedback Control of Hopfield Networks
Stability analysis of discrete-time recurrent neural networks
Learning Binary Hash Codes Based on Adaptable Label Representations
Real-Time Semantic Segmentation via a Densely Aggregated Bilateral Network
Learning Stable Multilevel Dictionaries for Sparse Representations
Visualized Analysis of Mixed Numeric and Categorical Data Via Extended Self-Organizing Map
An Accelerated Linearly Convergent Stochastic L-BFGS Algorithm
Distributed Policy Space Response Oracles in Two-Player Zero-Sum Games
A theoretical study of linear and nonlinear equalization in nonlinear magnetic storage channels
Support Vector Data Descriptions and k-Means Clustering: One Class?
Predictive modular neural networks for unsupervised segmentation of switching time series: the data allocation problem
Distributed Fault-Tolerant Control of Multiagent Systems: An Adaptive Learning Approach
Certifiable Robustness to Adversarial State Uncertainty in Deep Reinforcement Learning
Complex Support Vector Machines for Regression and Quaternary Classification
An extended ASLD trading system to enhance portfolio management
Parareal Neural Networks Emulating a Parallel-in-Time Algorithm
Notes on the simulation of evolution
A VLSI neural processor for image data compression using self-organization networks
Efficient algorithms for function approximation with piecewise linear sigmoidal networks
Unsupervised Learning of Categorical Data With Competing Models
Temporal album
Differentiation-Free Multiswitching Neuroadaptive Control of Strict-Feedback Systems
Boosting Convolutional Neural Networks With Middle Spectrum Grouped Convolution
Large-Margin Label-Calibrated Support Vector Machines for Positive and Unlabeled Learning
Multi-aspect target discrimination using hidden Markov models and neural networks
A comparison of the von Mises and Gaussian basis functions for approximating spherical acoustic scatter
Robust Dynamic Sliding-Mode Control Using Adaptive RENN for Magnetic Levitation System
DefendFL: A Privacy-Preserving Federated Learning Scheme Against Poisoning Attacks
Finite-Time Stability Control of Uncertain Nonlinear Systems With Self-Limiting Control Terms
Learning Context Restrained Correlation Tracking Filters via Adversarial Negative Instance Generation
Analysis and synthesis of a class of discrete-time neural networks described on hypercubes
Optimizing Spatial Filters by Minimizing Within-Class Dissimilarities in Electroencephalogram-Based Brain-Computer Interface
Enhancing Chinese Character Representation With Lattice-Aligned Attention
An improved algorithm for learning long-term dependency problems in adaptive processing of data structures
FastAdaBelief: Improving Convergence Rate for Belief-Based Adaptive Optimizers by Exploiting Strong Convexity
A New Neuro-FDS Definition for Indirect Adaptive Control of Unknown Nonlinear Systems Using a Method of Parameter Hopping
Comparison Between Analog and Digital Neural Network Implementations for Range-Finding Applications
Theoretical analysis of evolutionary algorithms with an infinite population size in continuous space. Part II: Analysis of the diversification role of crossover
Kernel-Based Least Squares Temporal Difference With Gradient Correction
Inhibitory synapses in neural networks with sigmoidal nonlinearities
Cooperative information maximization with Gaussian activation functions for self-organizing maps
Explicit Representation and Customized Fault Isolation Framework for Learning Temporal and Spatial Dependencies in Industrial Processes
Learning Pattern Recognition Through Quasi-Synchronization of Phase Oscillators
Metric Learning-Guided Least Squares Classifier Learning
Robust Stabilization of Delayed Neural Networks: Dissipativity-Learning Approach
Silicon Modeling of the Mihalaş-Niebur Neuron
On the initialization and optimization of multilayer perceptrons
A neural-network learning theory and a polynomial time RBF algorithm
Extending the Peak Bandwidth of Parameters for Softmax Selection in Reinforcement Learning
Feature selection with redundancy-constrained class separability
Distributed Observer-Based Leader-Follower Consensus of Multiple Euler-Lagrange Systems
Two-Way Concept-Cognitive Learning via Concept Movement Viewpoint
Adaptive Dynamic Programming for Finite-Horizon Optimal Control of Discrete-Time Nonlinear Systems With varepsilon-Error Bound
GUIDE: Training Deep Graph Neural Networks via Guided Dropout Over Edges
Stability for Neural Networks With Time-Varying Delays via Some New Approaches
Recurrent Neural Networks Training With Stable Bounding Ellipsoid Algorithm
Robust Incremental Broad Learning System for Data Streams of Uncertain Scale
Indefinite Kernel Logistic Regression With Concave-Inexact-Convex Procedure
Parameter Efficient Neural Networks With Singular Value Decomposed Kernels
Automated fault diagnosis in nonlinear multivariable systems using a learning methodology
Analog VLSI implementation for stereo correspondence between 2-D images
Cross-View Approximation on Grassmann Manifold for Multiview Clustering
Adaptive Neural Network Nonparametric Identifier With Normalized Learning Laws
Extended Robust Exponential Stability of Fuzzy Switched Memristive Inertial Neural Networks With Time-Varying Delays on Mode-Dependent Destabilizing Impulsive Control Protocol
Multistability Analysis of Quaternion-Valued Neural Networks With Time Delays
Design, Analysis, and Application of a Discrete Error Redefinition Neural Network for Time-Varying Quadratic Programming
Multi-Projection Fusion and Refinement Network for Salient Object Detection in 360° Omnidirectional Image
CRL: An Efficient Autonomous Exploration Framework for Large-Scale Environments With Contrastive-Driven Reinforcement Learning
Global Mittag-Leffler Stabilization of Fractional-Order Memristive Neural Networks
Ricci Curvature-Based Graph Sparsification for Continual Graph Representation Learning
Redundancy is Not What You Need: An Embedding Fusion Graph Auto-Encoder for Self-Supervised Graph Representation Learning
Hyperspectral Images Super-Resolution via Learning High-Order Coupled Tensor Ring Representation
Kernel Error Path Algorithm
Adaptive Synchronization Between Two Different Chaotic Neural Networks With Time Delay
Plug-and-Play Model-Agnostic Counterfactual Policy Synthesis for Deep Reinforcement Learning-Based Recommendation
A Derivative-Free Riemannian Powell's Method, Minimizing Hartley-Entropy-Based ICA Contrast
Parallel Coordinate Descent Newton Method for Efficient L 1 -Regularized Loss Minimization
Online Self-Training Driven Attention-Guided Self-Mimicking Network for Semantic Segmentation
A novel continuous-time neural network for realizing associative memory
A Class of Sparsely Connected Autoassociative Morphological Memories for Large Color Images
Deep PLS: A Lightweight Deep Learning Model for Interpretable and Efficient Data Analytics
Dynamic programming approach to optimal weight selection in multilayer neural networks
Efficient Multitemplate Learning for Structured Prediction
Multilevel Contrastive Graph Masked Autoencoders for Unsupervised Graph-Structure Learning
Fast Independent Component Analysis Algorithm for Quaternion Valued Signals
The upper bound neural network and a class of consistent labeling problems
Probabilistic Low-Rank Multitask Learning
A Two-Layer Mixture Model of Gaussian Process Functional Regressions and Its MCMC EM Algorithm
Fast training algorithms for multilayer neural nets
Estimating Sensorimotor Mapping From Stimuli to Behaviors to Infer C. elegans Movements by Neural Transmission Ability Through Connectome Databases
Question-Guided Erasing-Based Spatiotemporal Attention Learning for Video Question Answering
Designing and Implementation of Stable Sinusoidal Rough-Neural Identifier
An R-Convolution Graph Kernel Based on Fast Discrete-Time Quantum Walk
Quantum Cryptanalysis on a Multivariate Cryptosystem Based on Clipped Hopfield Neural Network
OSNN: An Online Semisupervised Neural Network for Nonstationary Data Streams
A Method of Face Recognition Based on Fuzzy c-Means Clustering and Associated Sub-NNs
Unified Development of Multiplicative Algorithms for Linear and Quadratic Nonnegative Matrix Factorization
Deep Learning in Microscopy Image Analysis: A Survey
Mutual Information-Driven Subject-Invariant and Class-Relevant Deep Representation Learning in BCI
Quantized CNN: A Unified Approach to Accelerate and Compress Convolutional Networks
Manifoldron: Direct Space Partition via Manifold Discovery
Growing self-reconstruction maps
Bayesian Weight Decay on Bounded Approximation for Deep Convolutional Neural Networks
Random Forest Classifier for Zero-Shot Learning Based on Relative Attribute
Comments on local minima free conditions in multilayer perceptrons
Consensus Analysis of Multiagent Networks via Aggregated and Pinning Approaches
A global gradient-noise covariance expression for stationary real Gaussian inputs
Hessian matrix estimation in hybrid systems based on an embedded FFNN
On the Duality Between Belief Networks and Feed-Forward Neural Networks
A network of coincidence detector neurons with periodic and chaotic dynamics
DiamondNet: A Neural-Network-Based Heterogeneous Sensor Attentive Fusion for Human Activity Recognition
Fractional Extreme Value Adaptive Training Method: Fractional Steepest Descent Approach
Parallel Online Temporal Difference Learning for Motor Control
Rumor Detection With Hierarchical Representation on Bipartite Ad Hoc Event Trees