yusuke1997/dblp-id-title huggingface dataset:
Fractional Hopfield Neural Networks: Fractional Dynamic Associative Recurrent Neural Networks
Distributed Fault-Tolerant Containment Control Protocols for the Discrete-Time Multiagent Systems via Reinforcement Learning Method
Image Deblurring by Exploring In-Depth Properties of Transformer
Neural-Network-Based Adaptive Finite-Time Output Feedback Control for Spacecraft Attitude Tracking
Opportunistic Behavior in Motivated Learning Agents
RCDNet: An Interpretable Rain Convolutional Dictionary Network for Single Image Deraining
Low-Shot Unsupervised Visual Anomaly Detection via Sparse Feature Representation
Autonomous learning of sequential tasks: experiments and analyses
Class-Wise Subspace Alignment-Based Unsupervised Adaptive Land Cover Classification in Scene-Level Using Deep Siamese Network
Optimal Tracking Control of Nonlinear Multiagent Systems Using Internal Reinforce Q-Learning
Eliminating Primacy Bias in Online Reinforcement Learning by Self-Distillation
Comparison Analysis: Granger Causality and New Causality and Their Applications to Motor Imagery
Adaptive Locality Guidance: Using Locality Guidance to Initialize the Learning of Vision Transformers on Tiny Datasets
Visual Navigation With Multiple Goals Based on Deep Reinforcement Learning
Inhomogeneous Diffusion-Induced Network for Multiview Semi-Supervised Classification
Global Mittag-Leffler Stability of the Delayed Fractional-Coupled Reaction-Diffusion System on Networks Without Strong Connectedness
Transfer Adaptation Learning: A Decade Survey
Cluster-Aware Few-Shot Molecular Property Prediction With Factor Disentanglement
Label-less Learning for Emotion Cognition
Global analysis of Oja's flow for neural networks
Sequential Fusion Estimation for Multirate Complex Networks With Uniform Quantization: A Zonotopic Set-Membership Approach
ZNNs With a Varying-Parameter Design Formula for Dynamic Sylvester Quaternion Matrix Equation
A Weighting Method for Feature Dimension by Semisupervised Learning With Entropy
Generalization properties of modular networks: implementing the parity function
Entropic One-Class Classifiers
Fast Multilabel Feature Selection via Global Relevance and Redundancy Optimization
Real-Time Recurrent Neural State Estimation
A Recurrent Neural-Network-Based Sensor and Actuator Fault Detection and Isolation for Nonlinear Systems With Application to the Satellite's Attitude Control Subsystem
Barrier Function-Based Neural Adaptive Control With Locally Weighted Learning and Finite Neuron Self-Growing Strategy
Knowledge-Augmented Deep Learning and its Applications: A Survey
Autobalanced Multitask Node Embedding Framework for Intelligent Education
Meta-Scaler: A Meta-Learning Framework for the Selection of Scaling Techniques
Learning Relation-Enhanced Hierarchical Solver for Math Word Problems
A multistage neural network for color constancy and color induction
Evaluation of Neural Network Robust Reliability Using Information-Gap Theory
DiffusionVMR: Diffusion Model for Joint Video Moment Retrieval and Highlight Detection
New Generation Deep Learning for Video Object Detection: A Survey
Neural Network-Based Distributed Cooperative Learning Control for Multiagent Systems via Event-Triggered Communication
A gradual noisy chaotic neural network for solving the broadcast scheduling problem in packet radio networks
Feature Selection Based on Structured Sparsity: A Comprehensive Study
EDropout: Energy-Based Dropout and Pruning of Deep Neural Networks
Decentralized Personalized Federated Learning Based on a Conditional "Sparse-to-Sparser" Scheme
A Critical Review of Inductive Logic Programming Techniques for Explainable AI
Uncertainty Quantification in Estimating Blood Alcohol Concentration From Transdermal Alcohol Level With Physics-Informed Neural Networks
Noniterative Sparse LS-SVM Based on Globally Representative Point Selection
Multi-Label Contrastive Learning for Abstract Visual Reasoning
Advocating for the Silent: Enhancing Federated Generalization for Nonparticipating Clients
Identifying Outliers via Local Granular-Ball Density
Neural-Network-Based State Feedback Control of a Nonlinear Discrete-Time System in Nonstrict Feedback Form
TRCLA: A Transfer Learning Approach to Reduce Negative Transfer for Cellular Learning Automata
A Survey of Stochastic Computing Neural Networks for Machine Learning Applications
Neuro-Evolutionary Direct Policy Search for Multiobjective Optimal Control
TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks
Robust Nonnegative Patch Alignment for Dimensionality Reduction
Learning long-term dependencies in NARX recurrent neural networks
Universal approximation using incremental constructive feedforward networks with random hidden nodes
Developmental Network-2: The Autonomous Generation of Optimal Internal-Representation Hierarchy
An Iterative Method for Unsupervised Robust Anomaly Detection Under Data Contamination
A Novel Local-Global Graph Convolutional Method for Point Cloud Semantic Segmentation
Habituation in the KIII olfactory model with chemical sensor arrays
Self-organizing mixture networks for probability density estimation
Deep Graph Translation
A Collaborative Neurodynamic Approach to Multiobjective Optimization
Transferable Linear Discriminant Analysis
Two-Microphone Separation of Speech Mixtures
Robust Transcoding Sensory Information With Neural Spikes
Fixed-Time Control and Estimation of Discontinuous Fuzzy Neural Networks: Novel Lyapunov Method of Fixed-Time Stability
Convolutional Neural Networks as Asymmetric Volterra Models Based on Generalized Orthonormal Basis Functions
Mapping Tracking Control to Cascading Optimization in Discrete Strict-Feedback Systems: A Hierarchical Learning Approach
TAM: Targeted Analysis Model With Reinforcement Learning on Short Texts
Universality and Approximation Bounds for Echo State Networks With Random Weights
On-line learning with minimal degradation in feedforward networks
Neuromorphic Artificial Touch for Categorization of Naturalistic Textures
Nonlinear Topological Component Analysis: Application to Age-Invariant Face Recognition
Learning Cross-Domain Features With Dual-Path Signal Transformer
Deep Learning Model Compression With Rank Reduction in Tensor Decomposition
Intermittent Sampled-Data Control for Local Stabilization of Neural Networks Subject to Actuator Saturation: A Work-Interval-Dependent Functional Approach
High-Order Measurements for Residual Classifiers
Human-in-the-Loop Consensus Control for Multiagent Systems With External Disturbances
Implementation of adaptive critic-based neurocontrollers for turbogenerators in a multimachine power system
MRM-Lasso: A Sparse Multiview Feature Selection Method via Low-Rank Analysis
Graph Reasoning With Supervised Contrastive Learning for Legal Judgment Prediction
Compressing Deep Neural Networks With Sparse Matrix Factorization
GAReID: Grouped and Attentive High-Order Representation Learning for Person Re-Identification
Neural-Network-Based Adaptive Event-triggered Control for Spacecraft Attitude Tracking
Evaluate the Malignancy of Pulmonary Nodules Using the 3-D Deep Leaky Noisy-OR Network
Discontinuous Observers Design for Finite-Time Consensus of Multiagent Systems With External Disturbances
Interaction-and-Response Network for Distantly Supervised Relation Extraction
Minimizing risk using prediction uncertainty in neural network estimation fusion and its application to papermaking
Underexposed Image Correction via Hybrid Priors Navigated Deep Propagation
LIF and Simplified SRM Neurons Encode Signals Into Spikes via a Form of Asynchronous Pulse Sigma-Delta Modulation
Multistage Competitive Opinion Maximization With Q-Learning-Based Method in Social Networks
Random Polynomial Neural Networks: Analysis and Design
Brain Emotion Perception Inspired EEG Emotion Recognition With Deep Reinforcement Learning
Theoretical Exploration of Flexible Transmitter Model
Missile guidance law design using adaptive cerebellar model articulation controller
A Minimax Probability Machine for Nondecomposable Performance Measures
Architecture and statistical model of a pulse-mode digital multilayer neural network
Characteristics of Hebbian-type associative memories having faulty interconnections
Unified Simultaneous Clustering and Feature Selection for Unlabeled and Labeled Data
Event-Based Visual Flow
Event-Triggered Adaptive Optimal Control With Output Feedback: An Adaptive Dynamic Programming Approach
On μ-Pseudo Almost Periodic Solutions for Clifford-Valued Neutral Type Neural Networks With Delays in the Leakage Term
A Nonlinear Control Method Based on ANFIS and Multiple Models for a Class of SISO Nonlinear Systems and Its Application
An Efficient and Adaptive Granular-Ball Generation Method in Classification Problem
A Collective Neurodynamic Optimization Approach to Nonnegative Matrix Factorization
Residual Sketch Learning for a Feature-Importance-Based and Linguistically Interpretable Ensemble Classifier
Intrinsic Graph Learning With Discrete Constrained Diffusion-Fusion
Dynamic Recognition of Speakers for Consent Management by Contrastive Embedding Replay
Template-Free Try-On Image Synthesis via Semantic-Guided Optimization
Defending Against Neural Network Model Inversion Attacks via Data Poisoning
Contrastive Adversarial Domain Adaptation Networks for Speaker Recognition
Knowledge-Leverage-Based TSK Fuzzy System Modeling
A neural network model for monotone linear asymmetric variational inequalities
Site-Invariant Meta-Modulation Learning for Multisite Autism Spectrum Disorders Diagnosis
From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural Networks
Knowledge-Guided Semantic Transfer Network for Few-Shot Image Recognition
Accelerated Proximal Subsampled Newton Method
Adaptive Observation-Based Efficient Reinforcement Learning for Uncertain Systems
Cooperative Adaptive Output Regulation for Lower Triangular Nonlinear Multi-Agent Systems Subject to Jointly Connected Switching Networks
A Fault-Tolerant Regularizer for RBF Networks
Identification and control of a nonlinear discrete-time system based on its linearization: a unified framework
MCES: A Novel Monte Carlo Evaluative Selection Approach for Objective Feature Selections
A successive overrelaxation backpropagation algorithm for neural-network training
Finite-Time Synchronization of Reaction-Diffusion Inertial Memristive Neural Networks via Gain-Scheduled Pinning Control
Adaptive Constrained Optimal Control Design for Data-Based Nonlinear Discrete-Time Systems With Critic-Only Structure
Solving Complex-Valued Time-Varying Linear Matrix Equations via QR Decomposition With Applications to Robotic Motion Tracking and on Angle-of-Arrival Localization
Reply to "Comments on "The Extreme Learning Machine""
Robust PAC m : Training Ensemble Models Under Misspecification and Outliers
Neural Network Training With Levenberg-Marquardt and Adaptable Weight Compression
Master-Slave Deep Architecture for Top-K Multiarmed Bandits With Nonlinear Bandit Feedback and Diversity Constraints
Prediction Reweighting for Domain Adaptation
Exploration With Task Information for Meta Reinforcement Learning
Data-Driven Control for Relative Degree Systems via Iterative Learning
Adaptive NN Optimal Consensus Fault-Tolerant Control for Stochastic Nonlinear Multiagent Systems
Handling Over-Smoothing and Over-Squashing in Graph Convolution With Maximization Operation
Locally Weighted Interpolating Growing Neural Gas
Encoding nondeterministic fuzzy tree automata into recursive neural networks
Robust Formation Control for Cooperative Underactuated Quadrotors via Reinforcement Learning
Observer-Based Adaptive Neural Network Control for Nonlinear Stochastic Systems With Time Delay
An Enhanced Fuzzy Min-Max Neural Network for Pattern Classification
Development and application of an integrated neural system for an HDCL
The Rosenblatt Bayesian Algorithm Learning in a Nonstationary Environment
Decirculation Process in Neural Network Dynamics
Synchronization of Linearly Coupled Networks With Delays via Aperiodically Intermittent Pinning Control
Quality Evaluation of Triples in Knowledge Graph by Incorporating Internal With External Consistency
Stochastic Mirror Descent on Overparameterized Nonlinear Models
Multivariate Time Series Forecasting Using Multiscale Recurrent Networks With Scale Attention and Cross-Scale Guidance
Unsupervised Fusion Feature Matching for Data Bias in Uncertainty Active Learning
Robust global exponential stability of Cohen-Grossberg neural networks with time delays
Comments on "The multisynapse neural network and its application to fuzzy Clustering"
Differential Game-Based Deep Reinforcement Learning in Underwater Target Hunting Task
Guest Editorial Data-Based Control, Modeling, and Optimization
Bayesian Dictionary Learning on Robust Tubal Transformed Tensor Factorization
Robust Temporal Link Prediction in Dynamic Complex Networks via Stable Gated Models With Reinforcement Learning
A nodal link perceptron network with applications to control of a nonholonomic system
Simple Exponential Family PCA
Quantum Imitation Learning
Feedforward networks training speed enhancement by optimal initialization of the synaptic coefficients
L 1/2 Regularization: A Thresholding Representation Theory and a Fast Solver
Approximating maximum clique with a Hopfield network
Minimizing Nearest Neighbor Classification Error for Nonparametric Dimension Reduction
Reinforcement Learning-Based Fixed-Time Trajectory Tracking Control for Uncertain Robotic Manipulators With Input Saturation
Semisupervised Multicategory Classification With Imperfect Model
A Sequential Learning Algorithm for Complex-Valued Self-Regulating Resource Allocation Network-CSRAN
Mixed-Granularity Implicit Representation for Continuous Hyperspectral Compressive Reconstruction
A four-quadrant subthreshold mode multiplier for analog neural-network applications
Enhancing Synchronizability of Diffusively Coupled Dynamical Networks: A Survey
Improving Knowledge Distillation With a Customized Teacher
Beyond Homophily and Homogeneity Assumption: Relation-Based Frequency Adaptive Graph Neural Networks
Distributed Optimization for Second-Order Discrete-Time Multiagent Systems With Set Constraints
Hierarchical Similarity Transformations Between Gaussian Mixtures
Robust Support Vector Regression for Uncertain Input and Output Data
A Stochastic Quasi-Newton Method for Large-Scale Nonconvex Optimization With Applications
Reproducing Kernel Hilbert Space Approach for the Online Update of Radial Bases in Neuro-Adaptive Control
Biologically inspired means for rank-order encoding images: a quantitative analysis
Neural-network-based robust fault diagnosis in robotic systems
Partially Shared Latent Factor Learning With Multiview Data
Learning Robust Predictive Control: A Spatial-Temporal Game Theoretic Approach
Finding Features for Real-Time Premature Ventricular Contraction Detection Using a Fuzzy Neural Network System
Event-Triggered Multigradient Recursive Reinforcement Learning Tracking Control for Multiagent Systems
Error Surface of Recurrent Neural Networks
Nonlinear Decoupling Control With PI λ D μ Neural Network for MIMO Systems
Online Learning Algorithms Can Converge Comparably Fast as Batch Learning
FAT: Frequency-Aware Transformation for Bridging Full-Precision and Low-Precision Deep Representations
Watermarking Deep Neural Networks in Image Processing
Knowledge-Based Reasoning Network for Relation Detection
Event-Driven Video Restoration With Spiking-Convolutional Architecture
Event-Triggered Communication Network With Limited-Bandwidth Constraint for Multi-Agent Reinforcement Learning
Hierarchical Spiking-Based Model for Efficient Image Classification With Enhanced Feature Extraction and Encoding
Multigranularity Fuzzy Autoencoder for Discriminative Feature Selection in High-Dimensional Data
Guest Editorial Special Issue on Discriminative Learning for Model Optimization and Statistical Inference
Fault Identification in Distributed Sensor Networks Based on Universal Probabilistic Modeling
Higher-Order-Statistics-Based Radial Basis Function Networks for Signal Enhancement
A Recursive Approach to Quantized ${H_{\infty}}$ State Estimation for Genetic Regulatory Networks Under Stochastic Communication Protocols
Probability Density Rank-Based Quantization for Convex Universal Learning Machines
A new approach to perceptron training
A Comprehensive Review of Continuous-/Discontinuous-Time Fractional-Order Multidimensional Neural Networks
Joint Learning of Neural Transfer and Architecture Adaptation for Image Recognition
Neural Network Adaptive Tracking Control of Uncertain MIMO Nonlinear Systems With Output Constraints and Event-Triggered Inputs
Multi-View Graph Learning by Joint Modeling of Consistency and Inconsistency
Evolving Deep Neural Networks via Cooperative Coevolution With Backpropagation
Data-Based Model-Free Predictive Control System Under the Design Philosophy of MPC and Zeroing Neurodynamics for Robotic Arm Pose Tracking
State Estimation of Switched Time-Delay Complex Networks With Strict Decreasing LKF
A Bias and Variance Analysis for Multistep-Ahead Time Series Forecasting
Paralleled hardware annealing for optimal solutions on electronic neural networks
Entropy-based generation of supervised neural networks for classification of structured patterns
A general framework for adaptive processing of data structures
Face recognition/detection by probabilistic decision-based neural network
Asymmetrical Contrastive Learning Network via Knowledge Distillation for No-Service Rail Surface Defect Detection
ACL-QL: Adaptive Conservative Level in Q-Learning for Offline Reinforcement Learning
Quantized Iterative Learning Consensus Tracking of Digital Networks With Limited Information Communication
Dual-Correction-Adaptation Network for Noisy Knowledge Transfer
TODO-Net: Temporally Observed Domain Contrastive Network for 3-D Early Action Prediction
Neural network payload estimation for adaptive robot control
A Two-Stage Selective Experience Replay for Double-Actor Deep Reinforcement Learning
HCG: Streaming DCNN Accelerator With a Hybrid Computational Granularity Scheme on FPGA
Exploring the Temporal Consistency of Arbitrary Style Transfer: A Channelwise Perspective
PSAQ-ViT V2: Toward Accurate and General Data-Free Quantization for Vision Transformers
Feature-Based Interpolation and Geodesics in the Latent Spaces of Generative Models
Errata to "Flexible neuro-fuzzy systems"
Trend Time-Series Modeling and Forecasting With Neural Networks
Neural recognition in a pyramidal structure
Webly Supervised Knowledge-Embedded Model for Visual Reasoning
Low-Rank Tensor Train Coefficient Array Estimation for Tensor-on-Tensor Regression
Approximation capability in C(R¯ n ) by multilayer feedforward networks and related problems
A nonlinear regulator design in the presence of system uncertainties using multilayered neural network
Tangent Hyperplane Kernel Principal Component Analysis for Denoising
High-Performance Mixed-Signal Neurocomputing With Nanoscale Floating-Gate Memory Cell Arrays
Self-Supervised Tracking via Target-Aware Data Synthesis
Music Recommendation via Hypergraph Embedding
Pinning Stabilizer Design for Probabilistic Boolean Control Networks via Condensation Digraph
Learning Social Relations and Spatiotemporal Trajectories for Next Check-in Inference
Leverage Variational Graph Representation for Model Poisoning on Federated Learning
Convolutional Sparse Autoencoders for Image Classification
On the sample complexity of PAC learning half-spaces against the uniform distribution
Efficient Object Recognition Using Boundary Representation and Wavelet Neural Network
Subarchitecture Ensemble Pruning in Neural Architecture Search
Learning Rate Dropout
Neural Networks and Learning Systems Come Together
Analysis of speedup as function of block size and cluster size for parallel feed-forward neural networks on a Beowulf cluster
Learning With Incremental Instances and Features
Analysis of input-output clustering for determining centers of RBFN
Exponential stability analysis for delayed neural networks with switching parameters: average dwell time approach
From Ensemble Clustering to Subspace Clustering: Cluster Structure Encoding
Integrating Relational Knowledge With Text Sequences for Script Event Prediction
Incorporating Mean Template Into Finite Mixture Model for Image Segmentation
Adaptive fuzzy leader clustering of complex data sets in pattern recognition
Robust Object Tracking by Nonlinear Learning
Constructive learning of recurrent neural networks: limitations of recurrent cascade correlation and a simple solution
RDLNet: A Regularized Descriptor Learning Network
Deep Networks are Effective Encoders of Periodicity
k-nearest neighbors directed noise injection in multilayer perceptron training
Use of bias term in projection pursuit learning improves approximation and convergence properties
Transmission of vector quantized data over a noisy channel
On the construction and training of reformulated radial basis function neural networks
Robust stability analysis of adaptation algorithms for single perceptron
Sensitivity Analysis of the Split-Complex Valued Multilayer Perceptron Due to the Errors of the i.i.d. Inputs and Weights
Octopus-Inspired Microgripper for Deformation-Controlled Biological Sample Manipulation
Fixed-Time Synchronization of Competitive Neural Networks With Multiple Time Scales
Artificial Electrical Morris-Lecar Neuron
Presupervised and post-supervised prototype classifier design
Multiresolution forecasting for futures trading using wavelet decompositions
Discrete-Time Adaptive Backstepping Nonlinear Control via High-Order Neural Networks
An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series
A hierarchical multiple-view approach to three-dimensional object recognition
Exploiting Sparse Self-Representation and Particle Swarm Optimization for CNN Compression
Guest Editorial Learning in Neuromorphic Systems and Cyborg Intelligence
Noninvasive Blood Glucose Monitoring Using Spatiotemporal ECG and PPG Feature Fusion and Weight-Based Choquet Integral Multimodel Approach
Matching Distributions Algorithms Based on the Earth Mover's Distance for Ordinal Quantification
Finite-Time Stability Analysis for Markovian Jump Memristive Neural Networks With Partly Unknown Transition Probabilities
Neural-Network-Based Adaptive Control of Uncertain MIMO Singularly Perturbed Systems With Full-State Constraints
Transductive Zero-Shot Action Recognition via Visually Connected Graph Convolutional Networks
Joint Learning of Multiple Sparse Matrix Gaussian Graphical Models
A Facial Landmark Detection Method Based on Deep Knowledge Transfer
The selection of weight accuracies for Madalines
An Entropy Weighted Nonnegative Matrix Factorization Algorithm for Feature Representation
Convergence and objective functions of some fault/noise-injection-based online learning algorithms for RBF networks
A modified HME architecture for text-dependent speaker identification
Variational Gaussian process classifiers
Learning rules for neuro-controller via simultaneous perturbation
Identification of Nonlinear Systems With Unknown Time Delay Based on Time-Delay Neural Networks
Performance analysis for a K-winners-take-all analog neural network: basic theory
Distributed Event-Triggered Adaptive Control for Cooperative Output Regulation of Heterogeneous Multiagent Systems Under Switching Topology
A Survey on Causal Reinforcement Learning
SVR Versus Neural-Fuzzy Network Controllers for the Sagittal Balance of a Biped Robot
Diverse Imitation Learning via Self-Organizing Generative Models
Compound binomial processes in neural integration
Variational Discriminative Stacked Auto-Encoder: Feature Representation Using a Prelearned Discriminator, and Its Application to Industrial Process Monitoring
Modal-Regression-Based Broad Learning System for Robust Regression and Classification
Morphological Convolutional Neural Network Architecture for Digit Recognition
RD-OpenMax: Rethinking OpenMax for Robust Realistic Open-Set Recognition
Generalization Performance of Fisher Linear Discriminant Based on Markov Sampling
DHI-GAN: Improving Dental-Based Human Identification Using Generative Adversarial Networks
Unsupervised Feature Selection With Extended OLSDA via Embedding Nonnegative Manifold Structure