yusuke1997/dblp-id-title huggingface dataset:
Blind equalization using a predictive radial basis function neural network
Adaptive Neural Network Dynamic Surface Control for a Class of Time-Delay Nonlinear Systems With Hysteresis Inputs and Dynamic Uncertainties
Training a network with ternary weights using the CHIR algorithm
Leader-Follower Bipartite Output Synchronization on Signed Digraphs Under Adversarial Factors via Data-Based Reinforcement Learning
Hybrid Dimensionality Reduction Method Based on Support Vector Machine and Independent Component Analysis
Composing Synergistic Macro Actions for Reinforcement Learning Agents
Spurious Valleys in the Error Surface of Recurrent Networks - Analysis and Avoidance
Digital Implementation of a Biological Astrocyte Model and Its Application
A Neurodynamic Optimization Approach to Bilevel Quadratic Programming
A Novel Approach to the Problem of Non-uniqueness of the Solution in Hierarchical Clustering
Multidimensional Refinement Graph Convolutional Network With Robust Decouple Loss for Fine-Grained Skeleton-Based Action Recognition
Adversarial Danger Identification on Temporally Dynamic Graphs
Nonlinear Regularization Path for Quadratic Loss Support Vector Machines
Invertible Residual Blocks in Deep Learning Networks
Multisynchronization of Coupled Heterogeneous Genetic Oscillator Networks via Partial Impulsive Control
Long-Run Behavior Estimation of Temporal Boolean Networks With Multiple Data Losses
Dynamical Analysis of the Hindmarsh-Rose Neuron With Time Delays
Adaptive Tracking Control for Perturbed Strict-Feedback Nonlinear Systems Based on Optimized Backstepping Technique
A Survey on Knowledge Graphs: Representation, Acquisition, and Applications
A Comprehensive Survey on Community Detection With Deep Learning
Single Finger Trajectory Prediction From Intracranial Brain Activity Using Block-Term Tensor Regression With Fast and Automatic Component Extraction
The cascade-correlation learning: a projection pursuit learning perspective
Incremental Reinforcement Learning in Continuous Spaces via Policy Relaxation and Importance Weighting
A Unified Analysis of AdaGrad With Weighted Aggregation and Momentum Acceleration
New recursive-least-squares algorithms for nonlinear active control of sound and vibration using neural networks
On the implementation of frontier-to-root tree automata in recursive neural networks
Equilibrium capacity of analog feedback neural networks
Stability Analysis of Recurrent Neural Networks With Time-Varying Delay by Flexible Terminal Interpolation Method
Meta-Reinforcement Learning With Dynamic Adaptiveness Distillation
Efficient Deep Spiking Multilayer Perceptrons With Multiplication-Free Inference
Domain Adaptation With Neural Embedding Matching
GBPG-Net: Global Background Prior-Guided Rain and Snow Image Restoration
Modified Primal-Dual Neural Networks for Motion Control of Redundant Manipulators With Dynamic Rejection of Harmonic Noises
Leveraging Imitation Learning on Pose Regulation Problem of a Robotic Fish
EGVD: Event-Guided Video Deraining
On the regularization of forgetting recursive least square
Graph-Based Dissimilarity Measurement for Cluster Analysis of Any-Type-Attributed Data
Neuromorphic Control of Stepping Pattern Generation: A Dynamic Model With Analog Circuit Implementation
Identifying the Topology of a Coupled FitzHugh-Nagumo Neurobiological Network via a Pinning Mechanism
Knowledge Distillation Meets Label Noise Learning: Ambiguity-Guided Mutual Label Refinery
An introduction to kernel-based learning algorithms
Distributed Finite-Time Cooperative Control of Multiple High-Order Nonholonomic Mobile Robots
Density-Driven Generalized Regression Neural Networks (DD-GRNN) for Function Approximation
Alien attractors and memory annihilation of structured sets in Hopfield networks
An optimal tracking neuro-controller for nonlinear dynamic systems
Real-Time Robot Path Planning Based on a Modified Pulse-Coupled Neural Network Model
Observability of Automata Networks: Fixed and Switching Cases
A Hybrid Neuromorphic Object Tracking and Classification Framework for Real-Time Systems
HybridSNN: Combining Bio-Machine Strengths by Boosting Adaptive Spiking Neural Networks
Cooperative Fault-Tolerant Control for a Class of Nonlinear MASs by Resilient Learning Approach
A Discrete-Time Recurrent Neural Network for Solving Rank-Deficient Matrix Equations With an Application to Output Regulation of Linear Systems
A neural-network approach to nonparametric and robust classification procedures
A Telescopic Binary Learning Machine for Training Neural Networks
Context-Aware Proposal-Boundary Network With Structural Consistency for Audiovisual Event Localization
Kernel Proposal Network for Arbitrary Shape Text Detection
Local Embedding Learning via Landmark-Based Dynamic Connections
Concept Drift and Anomaly Detection in Graph Streams
When Broad Learning System Meets Label Noise Learning: A Reweighting Learning Framework
Dynamical Channel Pruning by Conditional Accuracy Change for Deep Neural Networks
Neural Network Circuits for Bionic Associative Memory and Temporal Order Memory Based on DNA Strand Displacement
Mixtures of Conditional Random Fields for Improved Structured Output Prediction
Bipartite Differential Neural Network for Unsupervised Image Change Detection
Reinforcement and backpropagation training for an optical neural network using self-lensing effects
Optimization in Quaternion Dynamic Systems: Gradient, Hessian, and Learning Algorithms
STDNet: Rethinking Disentanglement Learning With Information Theory
Learning Time Series Associated Event Sequences With Recurrent Point Process Networks
Hierarchical Bidirected Graph Convolutions for Large-Scale 3-D Point Cloud Place Recognition
PP-NAS: Searching for Plug-and-Play Blocks on Convolutional Neural Networks
MR-NTD: Manifold Regularization Nonnegative Tucker Decomposition for Tensor Data Dimension Reduction and Representation
Comprehensive SNN Compression Using ADMM Optimization and Activity Regularization
Long Short-Term Financial Time Series Forecasting Based on Residual Multiscale TCN Sparse Expert Network and Informer
Optimal Output Regulation for Heterogeneous Multiagent Systems via Adaptive Dynamic Programming
Analysis of Artificial Neural Networks for Pattern-Based Adaptive Control
Multilayer neural networks for reduced-rank approximation
Extended Polynomial Growth Transforms for Design and Training of Generalized Support Vector Machines
Learning to Predict Sequences of Human Visual Fixations
Sparse Modal Additive Model
Nash Equilibrium in Multiplayer Graphical Games via Reinforcement Learning and Distributed Observers
Performance Guaranteed Consensus Tracking Control of Nonlinear Multiagent Systems: A Finite-Time Function-Based Approach
Generalization in probabilistic RAM nets
Adaptive Iterative Learning Fault-Tolerant Control for State Constrained Nonlinear Systems With Randomly Varying Iteration Lengths
SPGMVC: Multiview Clustering via Partitioning the Signed Prototype Graph
Support vector machines for spam categorization
Saliency-Aware Nonparametric Foreground Annotation Based on Weakly Labeled Data
Topological Data Analysis in Graph Neural Networks: Surveys and Perspectives
Generalized Contextual Bandits With Latent Features: Algorithms and Applications
Adaptive Neural Control of Underactuated Surface Vessels With Prescribed Performance Guarantees
Analysis of Survival Data Having Time-Dependent Covariates
Uncorrelated Multilinear Discriminant Analysis With Regularization and Aggregation for Tensor Object Recognition
Embedding Prior Knowledge Within Compressed Sensing by Neural Networks
GREnet: Gradually REcurrent Network With Curriculum Learning for 2-D Medical Image Segmentation
Processing Short-Term and Long-Term Information With a Combination of Polynomial Approximation Techniques and Time-Delay Neural Networks
Adaptive Optimal Control for Stochastic Multiplayer Differential Games Using On-Policy and Off-Policy Reinforcement Learning
Permutation Coding Technique for Image Recognition Systems
Modeling of nonlinear nonstationary dynamic systems with a novel class of artificial neural networks
Finite-Time Output Synchronization of Multiple Weighted Reaction-Diffusion Neural Networks With Adaptive Output Couplings
A hybrid neural-genetic multimodel parameter estimation algorithm
General Plane-Based Clustering With Distribution Loss
Dynamic Uncertain Causality Graph for Knowledge Representation and Reasoning: Utilization of Statistical Data and Domain Knowledge in Complex Cases
Causal Disentanglement: A Generalized Bearing Fault Diagnostic Framework in Continuous Degradation Mode
Multi-Level Fuzzy Min-Max Neural Network Classifier
Manifold Warp Segmentation of Human Action
A neural net for extracting knowledge from natural language data bases
Price Trailing for Financial Trading Using Deep Reinforcement Learning
Leveraging Semi-Supervised Learning and Meta-Learning for Re-Identification in Few-Shot Spatiotemporal Anomaly Detection
Spatio-Temporal Contextual Learning for Single Object Tracking on Point Clouds
Learning in certainty-factor-based multilayer neural networks for classification
Stochastic Integrated Actor-Critic for Deep Reinforcement Learning
Synchronization of Markovian Coupled Neural Networks With Nonidentical Node-Delays and Random Coupling Strengths
Generalization Performance of Regularized Ranking With Multiscale Kernels
Entropic Dynamic Time Warping Kernels for Co-Evolving Financial Time Series Analysis
Cooperative Tracking Control of Nonlinear Multiagent Systems Using Self-Structuring Neural Networks
Joint Metric Learning-Based Class-Specific Representation for Image Set Classification
Barrier Function-Based Adaptive Control for Uncertain Strict-Feedback Systems Within Predefined Neural Network Approximation Sets
Online Stochastic DCA With Applications to Principal Component Analysis
Gaussian Kernel Width Optimization for Sparse Bayesian Learning
Memristor-Based Cellular Nonlinear/Neural Network: Design, Analysis, and Applications
Multiple neural-network-based adaptive controller using orthonormal activation function neural networks
An Online Active Broad Learning Approach for Real-Time Safety Assessment of Dynamic Systems in Nonstationary Environments
A study of pattern recovery in recurrent correlation associative memories
Complete Synchronization of Boolean Networks
Discretized-Vapnik-Chervonenkis Dimension for Analyzing Complexity of Real Function Classes
An optoelectronic implementation of the adaptive resonance neural network
Inverse Optimal Adaptive Neural Control for State-Constrained Nonlinear Systems
Exploring Multiconnectivity and Subdivision Functions of Brain Network via Heterogeneous Graph Network for Cognitive Disorder Identification
Image Regression With Structure Cycle Consistency for Heterogeneous Change Detection
Semisupervised Progressive Representation Learning for Deep Multiview Clustering
Global Synchronization Criteria of Linearly Coupled Neural Network Systems With Time-Varying Coupling
Airline Passenger Profiling Based on Fuzzy Deep Machine Learning
0.8 μm CMOS implementation of weighted-order statistic image filter based on cellular neural network architecture
Epoch-Evolving Gaussian Process Guided Learning for Classification
Modified Noise-Immune Fuzzy Neural Network for Solving the Quadratic Programming With Equality Constraint Problem
Guaranteed recall of all training pairs for bidirectional associative memory
Complete Stability of Neural Networks With Extended Memristors
Comments on "A self-organizing network for hyperellipsoidal clustering (HEC)" [and reply]
Lidar detection of underwater objects using a neuro-SVM-based architecture
Reservoir Computing Approaches for Representation and Classification of Multivariate Time Series
Consensus-Based Distributed Cooperative Learning From Closed-Loop Neural Control Systems
Divide-and-conquer learning and modular perceptron networks
Asymptotically Optimal Contextual Bandit Algorithm Using Hierarchical Structures
Incremental Deep Neural Network Learning Using Classification Confidence Thresholding
Brain-Inspired Learning, Perception, and Cognition: A Comprehensive Review
Confidence-Based PU Learning With Instance-Dependent Label Noise
Semantic and Correlation Disentangled Graph Convolutions for Multilabel Image Recognition
Data-Core-Based Fuzzy Min-Max Neural Network for Pattern Classification
Hierarchical Quality Monitoring for Large-Scale Industrial Plants With Big Process Data
Device-Performance-Driven Heterogeneous Multiparty Learning for Arbitrary Images
Domain Adaption via Feature Selection on Explicit Feature Map
Scale-Wise Semantic Alignment Enhanced Multigrained Adaptive Fusion for Virtual Try-On
Exponential Stabilization of Semi-Markov Reaction-Diffusion Memristive NNs via Event-Based Spatially Pointwise-Piecewise Switching Control
Completely Automated CNN Architecture Design Based on Blocks
Robust Adaptive Learning Control of Space Robot for Target Capturing Using Neural Network
Entropy Minimization Versus Diversity Maximization for Domain Adaptation
Inverse-Free Discrete ZNN Models Solving for Future Matrix Pseudoinverse via Combination of Extrapolation and ZeaD Formulas
Measuring Disentanglement: A Review of Metrics
A Survey on Knowledge Editing of Neural Networks
Consensus Clustering With Co-Association Matrix Optimization
A Simplified Dual Neural Network for Quadratic Programming With Its KWTA Application
Distance-Aware Learning for Inductive Link Prediction on Temporal Networks
Grid-Centric Traffic Scenario Perception for Autonomous Driving: A Comprehensive Review
Unsupervised Visible-Infrared ReID via Pseudo-Label Correction and Modality-Level Alignment
Whole-Process Privacy-Preserving and Sybil-Resilient Consensus for Multiagent Networks
Dual-Affinity Style Embedding Network for Semantic-Aligned Image Style Transfer
Improving the performance of Kanerva's associate memory
NN-Based Adaptive Tracking Control of Uncertain Nonlinear Systems Disturbed by Unknown Covariance Noise
Generalization Bounds of Multitask Learning From Perspective of Vector-Valued Function Learning
An HMM-based speech-to-video synthesizer
Nonlinear system modeling via knot-optimizing B-spline networks
Tchebichef Transform Domain-Based Deep Learning Architecture for Image Super-Resolution
A New Method for Design and Reduction of Neuro-Fuzzy Classification Systems
Understanding How Pretraining Regularizes Deep Learning Algorithms
SynapNet: A Complementary Learning System Inspired Algorithm With Real-Time Application in Multimodal Perception
Temporal and Heterogeneous Graph Neural Network for Remaining Useful Life Prediction
Graph Neural Networks for Graph Drawing
Differentially Private Consensus for Second-Order Multiagent Systems With Quantized Communication
Multistage Graph Convolutional Network With Spatial Attention for Multivariate Time Series Imputation
Communication-Efficient Nonconvex Federated Learning With Error Feedback for Uplink and Downlink
An Empirical Evaluation of the Fuzzy Kernel Perceptron
Fast Discriminant Analysis With Adaptive Reconstruction Structure Preserving
Corrections to "On the Local Minima Free Condition of the Backpropagation Learning"
A neural network for linear matrix inequality problems
Corrigendum to "Stability Analysis and the Stabilization of a Class of Discrete-Time Dynamic Neural Networks"
A Deep Connection Between the Vapnik-Chervonenkis Entropy and the Rademacher Complexity
Qualitative Measurements of Policy Discrepancy for Return-Based Deep Q-Network
A general methodology for designing globally convergent optimization neural networks
Bridging the Cross-Modality Semantic Gap in Visual Question Answering
Dirichlet Process Mixture of Generalized Inverted Dirichlet Distributions for Positive Vector Data With Extended Variational Inference
Class-Imbalanced Deep Learning via a Class-Balanced Ensemble
SeReNe: Sensitivity-Based Regularization of Neurons for Structured Sparsity in Neural Networks
MR-Transformer: Multiresolution Transformer for Multivariate Time Series Prediction
Iterative Weighted Group Thresholding Method for Group Sparse Recovery
A multilayered perceptron approach to prediction of the SEC's investigation targets
Broad Learning With Reinforcement Learning Signal Feedback: Theory and Applications
Optimal unsupervised motor learning for dimensionality reduction of nonlinear control systems
Neural-Network-Based Adaptive DSC Design for Switched Fractional-Order Nonlinear Systems
Exploiting Neighbor Effect: Conv-Agnostic GNN Framework for Graphs With Heterophily
Guide Subspace Learning for Unsupervised Domain Adaptation
IWDA: Importance Weighting for Drift Adaptation in Streaming Supervised Learning Problems
Hybrid-Input Convolutional Neural Network-Based Underwater Image Quality Assessment
Multivalued associative memories based on recurrent networks
Finite-Time Synchronization of Neural Networks With Proportional Delays for RGB-D Image Protection
Incomplete Data Meets Uncoupled Case: A Challenging Task of Multiview Clustering
Neural Adaptive Distributed Formation Control of Nonlinear Multi-UAVs With Unmodeled Dynamics
Robust Zeroing Neural-Dynamics and Its Time-Varying Disturbances Suppression Model Applied to Mobile Robot Manipulators
Unsupervised Multitarget Domain Adaptation With Dictionary-Bridged Knowledge Exploitation
Letter on Convergence of In-Parameter-Linear Nonlinear Neural Architectures With Gradient Learnings
Conditional fuzzy clustering in the design of radial basis function neural networks
Local Classifier Weighting by Quadratic Programming
Survey of neural network technology for automatic target recognition
Large Scale Nonlinear Control System Fine-Tuning Through Learning
Curvilinear component analysis: a self-organizing neural network for nonlinear mapping of data sets
Computation of synchronized periodic solution in a BAM network with two delays
Structure of the high-order Boltzmann machine from independence maps
Neural-Adaptive Control of Single-Master-Multiple-Slaves Teleoperation for Coordinated Multiple Mobile Manipulators With Time-Varying Communication Delays and Input Uncertainties
Nonlinear blind source separation using a radial basis function network
Learning long-term dependencies with gradient descent is difficult
Guest Editorial Introduction to the Special Issue on Adaptive Learning Systems in Communication Networks
Sequence Learning in a Single Trial: A Spiking Neurons Model Based on Hippocampal Circuitry
Hopfield/ART-1 neural network-based fault detection and isolation
Kernelized Sparse Bayesian Matrix Factorization
Extrapolative Delay Compensation Through Facilitating Synapses and Its Relation to the Flash-Lag Effect
Tuning of the structure and parameters of a neural network using an improved genetic algorithm
Random neural networks with state-dependent firing neurons
Basins of attraction in fully asynchronous discrete-time discrete-state dynamic networks
Joint Structured Bipartite Graph and Row-Sparse Projection for Large-Scale Feature Selection
A comparison between habituation and conscience mechanism in self-organizing maps
Ridge polynomial networks
General statistical inference for discrete and mixed spaces by an approximate application of the maximum entropy principle
A Novel Automatic Generation Control Method Based on the Large-Scale Electric Vehicles and Wind Power Integration Into the Grid
Guest Editorial Special Section on Visual Saliency Computing and Learning
Denoising Multiscale Spectral Graph Wavelet Neural Networks for Gas Utilization Ratio Prediction in Blast Furnace
On the Impact of Approximate Computation in an Analog DeSTIN Architecture
Sketch Kernel Ridge Regression Using Circulant Matrix: Algorithm and Theory
Constraint Verification With Kernel Machines
A Spatial-Spectral Relation-Guided Fusion Network for Multisource Optical RS Image Classification
TFA-Net: A Deep Learning-Based Time-Frequency Analysis Tool
Disturbance-Aware Neuro-Optimal System Control Using Generative Adversarial Control Networks
Accurate and Fast Off and Online Fuzzy ARTMAP-Based Image Classification With Application to Genetic Abnormality Diagnosis
Dynamic Probabilistic Pruning: A General Framework for Hardware-Constrained Pruning at Different Granularities
Multiple Influences Maximization Under Dynamic Link Strength in Multi-Agent Systems: The Competitive and Cooperative Cases
Geometric Deep Learning for the Rubik's Cube Group
Developing a Local Least-Squares Support Vector Machines-Based Neuro-Fuzzy Model for Nonlinear and Chaotic Time Series Prediction
Pruning Networks With Cross-Layer Ranking & k-Reciprocal Nearest Filters
Region growing with pulse-coupled neural networks: an alternative to seeded region growing
fpgaConvNet: Mapping Regular and Irregular Convolutional Neural Networks on FPGAs
Neuromorphic learning of continuous-valued mappings from noise-corrupted data
An Assessment of Qualitative Performance of Machine Learning Architectures: Modular Feedback Networks
Graph Theory-Based Pinning Synchronization of Stochastic Complex Dynamical Networks
A Boolean Hebb rule for binary associative memory design
Self-Organizing Type-2 Fuzzy Double Loop Recurrent Neural Network for Uncertain Nonlinear System Control
On the selection of weight decay parameter for faulty networks
Empowering the Diversity and Individuality of Option: Residual Soft Option Critic Framework
A noise suppressing distance measure for competitive learning neural networks
Maximum Information Exploitation Using Broad Learning System for Large-Scale Chaotic Time-Series Prediction
Distributed Stochastic Gradient Tracking Algorithm With Variance Reduction for Non-Convex Optimization
Convergence of Adaptive Stochastic Mirror Descent
Latency Adjustable Transformer Encoder for Language Understanding
An accelerator for neural networks with pulse-coded model neurons
Extended Hopfield models for combinatorial optimization
CoT: Contourlet Transformer for Hierarchical Semantic Segmentation
Robust Dynamic Material Handling via Adaptive Constrained Evolutionary Reinforcement Learning
Hidden Bursting Firings and Bifurcation Mechanisms in Memristive Neuron Model With Threshold Electromagnetic Induction
An Improved Algebraic Criterion for Global Exponential Stability of Recurrent Neural Networks With Time-Varying Delays
Adaptive Finite-Time Neural Network Control of Nonlinear Systems With Multiple Objective Constraints and Application to Electromechanical System
An Accelerated Approach on Adaptive Gradient Neural Network for Solving Time-Dependent Linear Equations: A State-Triggered Perspective
Structure-Aware Graph Attention Diffusion Network for Protein-Ligand Binding Affinity Prediction
Jerk-Level Zhang Neurodynamics Equivalency of Bound Constraints, Equation Constraints, and Objective Indices for Cyclic Motion of Robot-Arm Systems
Generalized neural trees for pattern classification
Learnable Graph Convolutional Network With Semisupervised Graph Information Bottleneck
A Novel Connectivity-Preserving Control Design for Rendezvous Problem of Networked Uncertain Nonlinear Systems
Frame-Level Teacher-Student Learning With Data Privacy for EEG Emotion Recognition
Symmetries and discriminability in feedforward network architectures
System Stability of Learning-Based Linear Optimal Control With General Discounted Value Iteration
Feature Extraction for Change-Point Detection Using Stationary Subspace Analysis
Continuous Dropout
A-Optimality Orthogonal Forward Regression Algorithm Using Branch and Bound
Vertex Cover of Networks and Its Related Optimization Problems: An Overview
Discriminative Feature Selection via Employing Smooth and Robust Hinge Loss
Robust Single-Hidden Layer Feedforward Network-Based Pattern Classifier
A Semantic-Aware Attention and Visual Shielding Network for Cloth-Changing Person Re-Identification
Adaptive blind signal and image processing: learning algorithms and applications [Book Review]
FDGNet: Frequency Disentanglement and Data Geometry for Domain Generalization in Cross-Scene Hyperspectral Image Classification
Integration of Multikinds Imputation With Covariance Adaptation Based on Evidence Theory
Which Samples Should Be Learned First: Easy or Hard?
Statistical analysis of the parameters of a neuro-genetic algorithm
Markovian architectural bias of recurrent neural networks
Game of Drones: Multi-UAV Pursuit-Evasion Game With Online Motion Planning by Deep Reinforcement Learning