yusuke1997/dblp-id-title huggingface dataset:
Convergence-Rate-Based Event-Triggered Mechanisms for Quasi-Synchronization of Delayed Nonlinear Systems on Time Scales
How to improve fuzzy-neural system modeling by means of qualitative simulation
Discriminative Least Squares Regression for Multiclass Classification and Feature Selection
Data Generators for Learning Systems Based on RBF Networks
A White-Box Testing for Deep Neural Networks Based on Neuron Coverage
Zero-Shot Relation Classification Through Inference on Category Attributes
Global Sensitivity Estimates for Neural Network Classifiers
Multiobjective Algebraic Synthesis of Neural Control Systems by Implicit Model Following
Optimal Control for Unknown Discrete-Time Nonlinear Markov Jump Systems Using Adaptive Dynamic Programming
A generic systolic array building block for neural networks with on-chip learning
Proportional-Integral State Estimator for Quaternion-Valued Neural Networks With Time-Varying Delays
RSME: Respiration-Driven Synchronized Motion Estimator for Real-Time Thoracic 3-D CT Reconstruction Using Low-Rank Motion Fields and Dose-Free Surface Imaging
Design of Probabilistic Boolean Networks Based on Network Structure and Steady-State Probabilities
Guest Editorial Neural Networks Council Awards
Noisy recurrent neural networks: the continuous-time case
GeSeNet: A General Semantic-Guided Network With Couple Mask Ensemble for Medical Image Fusion
Gabor wavelet associative memory for face recognition
Graph Soft Actor-Critic Reinforcement Learning for Large-Scale Distributed Multirobot Coordination
The Robustness of Outputs With Respect to Disturbances for Boolean Control Networks
Model Approximation for Switched Genetic Regulatory Networks
H ∞ Output Tracking Control of Discrete-Time Nonlinear Systems via Standard Neural Network Models
Clustering Hidden Markov Models With Variational Bayesian Hierarchical EM
CRPN-SFNet: A High-Performance Object Detector on Large-Scale Remote Sensing Images
Local Means Binary Networks for Image Super-Resolution
Deep Echo State Q-Network (DEQN) and Its Application in Dynamic Spectrum Sharing for 5G and Beyond
Implicit Weight Learning for Multi-View Clustering
Competitive learning with floating-gate circuits
A performance analysis of two approximate adaptive designs
CSTS: Exploring Class-Specific and Task-Shared Embedding Representation for Few-Shot Learning
Stability and Guaranteed Cost Analysis of Time-Triggered Boolean Networks
Neural Approximation-Based Adaptive Control for a Class of Nonlinear Nonstrict Feedback Discrete-Time Systems
Consensus Tracking Control of Switched Stochastic Nonlinear Multiagent Systems via Event-Triggered Strategy
Deep CNN-Based Blind Image Quality Predictor
Feature Distillation in Deep Attention Network Against Adversarial Examples
Nonrigid Point Set Registration With Robust Transformation Learning Under Manifold Regularization
Riemannian Curvature of Deep Neural Networks
Deep Learning-Based Model Predictive Control for Continuous Stirred-Tank Reactor System
Riemannian Dictionary Learning and Sparse Coding for Positive Definite Matrices
Sample selection via clustering to construct support vector-like classifiers
Analysis of the back-propagation algorithm with momentum
Adaptive Neural Control Design for Nonlinear Distributed Parameter Systems With Persistent Bounded Disturbances
A CMOS Classifier Circuit Using Neural Networks With Novel Architecture
Composite Neighbor-Aware Convolutional Metric Networks for Hyperspectral Image Classification
Hierarchical Adversarial Inverse Reinforcement Learning
Twin-Incoherent Self-Expressive Locality-Adaptive Latent Dictionary Pair Learning for Classification
Classification of underground pipe scanned images using feature extraction and neuro-fuzzy algorithm
Feedback Optimal Control of Distributed Parameter Systems by Using Finite-Dimensional Approximation Schemes
Robust Visual Tracking via Multitask Sparse Correlation Filters Learning
Asynchronous Event-Based Hebbian Epipolar Geometry
Bidirectional Relationship Inferring Network for Referring Image Localization and Segmentation
Amortized Bayesian Model Comparison With Evidential Deep Learning
Robust k-Means-Type Clustering for Noisy Data
EEG-Based Spatio-Temporal Convolutional Neural Network for Driver Fatigue Evaluation
Laplacian Echo State Network for Multivariate Time Series Prediction
Event-Triggered Approximate Optimal Path-Following Control for Unmanned Surface Vehicles With State Constraints
Deep Cellular Recurrent Network for Efficient Analysis of Time-Series Data With Spatial Information
Implementing Any Nonlinear Quantum Neuron
Understanding Neural Networks and Individual Neuron Importance via Information-Ordered Cumulative Ablation
Nonlinear adaptive control of interconnected systems using neural networks
Enhanced Sparsity Prior Model for Low-Rank Tensor Completion
Optimal and Autonomous Control Using Reinforcement Learning: A Survey
Generalized Zero-Shot Learning With Multiple Graph Adaptive Generative Networks
NDRAM: nonlinear dynamic recurrent associative memory for learning bipolar and nonbipolar correlated patterns
Soft Margin Multiple Kernel Learning
A Probabilistic Formulation for Meta-Weight-Net
Cross-Subject and Cross-Modal Transfer for Generalized Abnormal Gait Pattern Recognition
Massive Ultrasonic Data Compression Using Wavelet Packet Transformation Optimized by Convolutional Autoencoders
A New Powered Lower Limb Prosthesis Control Framework Based on Adaptive Dynamic Programming
Fine-Grained Entity Recognition via Large Language Models
Semiparametric ARX neural-network models with an application to forecasting inflation
A Cell-Based Fast Memetic Algorithm for Automated Convolutional Neural Architecture Design
Multi-agent modeling of multiple FX-markets by neural networks
Half-Quadratic Minimization for Unsupervised Feature Selection on Incomplete Data
A fast multilayer neural-network training algorithm based on the layer-by-layer optimizing procedures
Temporally sequenced intelligent block-matching and motion-segmentation using locally coupled networks
Impulsive Effects on Quasi-Synchronization of Neural Networks With Parameter Mismatches and Time-Varying Delay
Connections Between Score Matching, Contrastive Divergence, and Pseudolikelihood for Continuous-Valued Variables
Intelligent Tracking Control for a Class of Uncertain High-Order Nonlinear Systems
HVLF: A Holistic Visual Localization Framework Across Diverse Scenes
Shared Feature Extraction for Nearest Neighbor Face Recognition
Separating the vertices of N-cubes by hyperplanes and its application to artificial neural networks
Pattern Classification With Class Probability Output Network
Adaptive Multimodel Knowledge Transfer Matrix Machine for EEG Classification
Generalization in multi-layer networks of Sigma-pi units
Stability and statistical properties of second-order bidirectional associative memory
Robust Neuro-Optimal Control of Underactuated Snake Robots With Experience Replay
Differential-Critic GAN: Generating What You Want by a Cue of Preferences
Multiple Guidance Network for Industrial Product Surface Inspection With One Labeled Target Sample
Beneficial Perturbation Network for Designing General Adaptive Artificial Intelligence Systems
A Stochastic Spiking Neural Network for Virtual Screening
A methodology for constructing fuzzy algorithms for learning vector quantization
Qualitative Adaptive Reward Learning With Success Failure Maps: Applied to Humanoid Robot Walking
CSLM: Convertible Short-Term and Long-Term Memory in Differential Neural Computers
An RNN-Based Algorithm for Decentralized-Partial-Consensus Constrained Optimization
New Adversarial Image Detection Based on Sentiment Analysis
An Adaptive Region-Based Transformer for Nonrigid Medical Image Registration With a Self-Constructing Latent Graph
Multilayer associative neural networks (MANN's): storage capacity versus perfect recall
T2FELA: Type-2 Fuzzy Extreme Learning Algorithm for Fast Training of Interval Type-2 TSK Fuzzy Logic System
Tensorizing GAN With High-Order Pooling for Alzheimer's Disease Assessment
QBox: Partial Transfer Learning With Active Querying for Object Detection
Enhancing LGMD's Looming Selectivity for UAV With Spatial-Temporal Distributed Presynaptic Connections
Implementation of pulse-coupled neural networks in a CNAPS environment
Artificial Endocrine Controller for Power Management in Robotic Systems
Linear Deconfounded Score Method: Scoring DAGs With Dense Unobserved Confounding
Modeling complex environmental data
Augmented Hopfield network for mixed-integer programming
Parameter Distribution Balanced CNNs
Enhanced FMAM based on empirical kernel map
Reachable Set Estimation of Delayed Markovian Jump Neural Networks Based on an Improved Reciprocally Convex Inequality
From Bi-Level to One-Level: A Framework for Structural Attacks to Graph Anomaly Detection
Stability Analysis of Fractional Bidirectional Associative Memory Neural Networks With Multiple Proportional Delays and Distributed Delays
A multichip aVLSI system emulating orientation selectivity of primary visual cortical cells
Some extensions of a new method to analyze complete stability of neural networks
Data-Driven Modeling for UGI Gasification Processes via an Enhanced Genetic BP Neural Network With Link Switches
GRLC: Graph Representation Learning With Constraints
Medical-VLBERT: Medical Visual Language BERT for COVID-19 CT Report Generation With Alternate Learning
Iterative Algorithm for Joint Zero Diagonalization With Application in Blind Source Separation
Learning to Perform Trajectory Generation From Low-Quality Demonstrations
Variational Inference With ARD Prior for NIRS Diffuse Optical Tomography
Deep Multimodal Transfer Learning for Cross-Modal Retrieval
Regularization in matrix relevance learning
Incorporating Privileged Information Through Metric Learning
The evidence framework applied to support vector machines
Flexible Label-Induced Manifold Broad Learning System for Multiclass Recognition
Variable Gain Impulsive Synchronization for Discrete-Time Delayed Neural Networks and Its Application in Digital Secure Communication
A New Discrete-Continuous Algorithm for Radial Basis Function Networks Construction
Robust to Rank Selection: Low-Rank Sparse Tensor-Ring Completion
On the convergence rate performance of the normalized least-mean-square adaptation
An optimum multilayer perceptron neural receiver for signal detection
Granular Ball Sampling for Noisy Label Classification or Imbalanced Classification
Data Clustering via Uncorrelated Ridge Regression
Dynamic Event-Triggered State Estimation for Markov Jump Neural Networks With Partially Unknown Probabilities
Analysis and synthesis of feedforward neural networks using discrete affine wavelet transformations
Optimizing the kernel in the empirical feature space
GMM Enabled by Multimodal Information Fusion Network for Detection and Motion Planning of Robotic Liquid Pouring
Perceptual adaptive insensitivity for support vector machine image coding
A new error function at hidden layers for past training of multilayer perceptrons
Learning Geotemporal Nonstationary Failure and Recovery of Power Distribution
Distributed State Estimation for Discrete-Time Sensor Networks With Randomly Varying Nonlinearities and Missing Measurements
Fully Deformable Network for Multiview Face Image Synthesis
Approximate Low-Rank Projection Learning for Feature Extraction
Blur Identification by Multilayer Neural Network Based on Multivalued Neurons
Linear Discriminant Analysis for Signatures
Interpolation-Based Contrastive Learning for Few-Label Semi-Supervised Learning
Analysis on the Convergence Time of Dual Neural Network-Based WTA
New Results on Rapid Dynamical Pattern Recognition via Deterministic Learning From Sampling Sequences
An unsupervised probabilistic net for health inequalities analysis
Exponential Synchronization of Linearly Coupled Neural Networks With Impulsive Disturbances
Accurate Maximum-Margin Training for Parsing With Context-Free Grammars
AutoMER: Spatiotemporal Neural Architecture Search for Microexpression Recognition
Two algorithms for neural-network design and training with application to channel equalization
SRSC: Selective, Robust, and Supervised Constrained Feature Representation for Image Classification
A Weighted Voting Model of Associative Memory
A Fixed-Time Projection Neural Network for Solving L₁-Minimization Problem
Iterative Learning Control of Constrained Systems With Varying Trial Lengths Under Alignment Condition
Sparse Additive Machine With the Correntropy-Induced Loss
Deterministic Convergence Analysis and Application of Elman Neural Network via Sparse Mechanism and Entropy Error Function
Guest Editorial Special Issue on Adaptive Learning and Control for Autonomous Vehicles
Finite-Time Distributed Average Tracking for Second-Order Nonlinear Systems
HResFormer: Hybrid Residual Transformer for Volumetric Medical Image Segmentation
Weakly Supervised Temporal Action Localization With Bidirectional Semantic Consistency Constraint
Entity Summarization via Exploiting Description Complementarity and Salience
Algorithmic aspects of a neuron for coherent wave synapse realizations
Exploiting Propagation Delay in Underwater Acoustic Communication Networks via Deep Reinforcement Learning
Decoupled ARX and RBF Neural Network Modeling Using PCA and GA Optimization for Nonlinear Distributed Parameter Systems
Estimating the Ultimate Bound and Positively Invariant Set for a Class of Hopfield Networks
Capsule Networks With Residual Pose Routing
A Fast and Efficient Method for Training Categorical Radial Basis Function Networks
A new supervised learning algorithm for multilayered and interconnected neural networks
A Maximum Margin Approach for Semisupervised Ordinal Regression Clustering
Neural techniques for combinatorial optimization with applications
Curriculum-Based Deep Reinforcement Learning for Quantum Control
Source Separation and Clustering of Phase-Locked Subspaces
The self-trapping attractor neural network-part II: properties of a sparsely connected model storing multiple memories
Self-Teaching Video Object Segmentation
Link Prediction Based on Stochastic Information Diffusion
Surrogate-Assisted and Filter-Based Multiobjective Evolutionary Feature Selection for Deep Learning
Learning Generative Models Using Denoising Density Estimators
Attentive Siamese Networks for Automatic Modulation Classification Based on Multitiming Constellation Diagrams
Forward Stagewise Additive Model for Collaborative Multiview Boosting
Iterative Learning Model-Free Control for Networked Systems With Dual-Direction Data Dropouts and Actuator Faults
Linear independence of internal representations in multilayer perceptrons
Automatic target detection using entropy optimized shared-weight neural networks
Output Reachable Set Estimation and Verification for Multilayer Neural Networks
DSANet: Dynamic and Structure-Aware GCN for Sparse and Incomplete Point Cloud Learning
Local-Global Geometric Information and View Complementarity Introduced Multiview Metric Learning
Computation of Adalines' sensitivity to weight perturbation
Parallel distributed detection of feature trajectories in multiple discontinuous motion image sequences
Robust Pole Assignment for Synthesizing Feedback Control Systems Using Recurrent Neural Networks
Accelerated Learning Control for Point-to-Point Tracking Systems
Redundancy-Free Self-Supervised Relational Learning for Graph Clustering
Dual Adversarial Autoencoders for Clustering
Online Orthogonal Dictionary Learning Based on Frank-Wolfe Method
Learning Deep Gradient Descent Optimization for Image Deconvolution
Deep Reinforcement Learning for Load Shedding Against Short-Term Voltage Instability in Large Power Systems
Further Result on Guaranteed H ∞ Performance State Estimation of Delayed Static Neural Networks
Hider: A Hyperspectral Image Denoising Transformer With Spatial-Spectral Constraints for Hybrid Noise Removal
Safety-Aware Semi-Supervised Classification
Nonlinear dynamical factor analysis for state change detection
Correlated inhibitory and excitatory inputs to the coincidence detector: analytical solution
Hierarchical intelligent control for robotic motion
Layer-Wise Training of Graph Neural Networks With Self-Supervised Learning
Neural-Network-Based Adaptive Fixed-Time Control for a 2-DOF Helicopter System With Input Quantization and Output Constraints
Real-Time Decoding of Snapshot Compressive Imaging Using Tensor FISTA-Net
VAE-Based Interpretable Latent Variable Model for Process Monitoring
New Delay-Dependent Stability Criteria for Neural Networks With Two Additive Time-Varying Delay Components
Discriminative semi-supervised feature selection via manifold regularization
Segment Any Cell: A SAM-Based Auto-Prompting Fine-Tuning Framework for Nuclei Segmentation
Dynamics of selective recall in an associative memory model with one-to-many associations
UniPoll: A Unified Social Media Poll Generation Framework via Multiobjective Optimization
Fully Distributed Nash Equilibrium Seeking: A Double-Layer Adaptive Approach
Detection of spurious states of neural networks
Fuzzy Associative Conjuncted Maps Network
Differential Refinement Network for Zero-Shot Learning
Energy Function and Energy Evolution on Neuronal Populations
Connectivity and performance tradeoffs in the cascade correlation learning architecture
Robust Exponential Stability of Uncertain Delayed Neural Networks With Stochastic Perturbation and Impulse Effects
DCT-Yager FNN: A Novel Yager-Based Fuzzy Neural Network With the Discrete Clustering Technique
Exponential Synchronization Control of Reaction-Diffusion Fuzzy Memristive Neural Networks: Hardy-Poincarè Inequality
Observer-Based Decentralized Control for Non-Strict-Feedback Fractional-Order Nonlinear Large-Scale Systems With Unknown Dead Zones
Learning Temporal Features With Alternated Similarity and Proximity Attention for Time-Series Prediction
Optimized Approximation Algorithm in Neural Networks Without Overfitting
Neural Adaptive Intermittent Output Feedback Control for Autonomous Underwater Vehicles With Full-State Quantitative Designs
Equilibria of Perceptrons for Simple Contingency Problems
Crossover enhancements in GEFREX
Blind Attention Geometric Restraint Neural Network for Single Image Dynamic/Defocus Deblurring
Quantized Minimum Error Entropy Criterion
Distilling Ordinal Relation and Dark Knowledge for Facial Age Estimation
Evolving Dual-Threshold Bienenstock-Cooper-Munro Learning Rules in Echo State Networks
Optimal Critic Learning for Robot Control in Time-Varying Environments
Robust Federated Learning: Maximum Correntropy Aggregation Against Byzantine Attacks
A mixture model for population codes of Gabor filters
Multilateral Telecoordinated Control of Multiple Robots With Uncertain Kinematics
Asymptotic and Finite-Time Cluster Synchronization of Coupled Fractional-Order Neural Networks With Time Delay
Active Learning for Deep Visual Tracking
Multi-Behavior Graph Neural Networks for Recommender System
An Explainable and Generalizable Recurrent Neural Network Approach for Differentiating Human Brain States on EEG Dataset
Safe Approximate Dynamic Programming via Kernelized Lipschitz Estimation
Learning and convergence analysis of neural-type structured networks
Lattice algebra approach to single-neuron computation
Gaussian networks for direct adaptive control
Cumulant-based parameter estimation using structured networks
Learn to Adapt for Self-Supervised Monocular Depth Estimation
Sparse Principal Component Analysis via Rotation and Truncation
Learning a No-Reference Quality Assessment Model of Enhanced Images With Big Data
SCCAM: Supervised Contrastive Convolutional Attention Mechanism for Ante-Hoc Interpretable Fault Diagnosis With Limited Fault Samples
Efficient Discrete Clustering With Anchor Graph
Efficient Sparse Generalized Multiple Kernel Learning
Crowd Counting Based on Multiscale Spatial Guided Perception Aggregation Network
Detecting application-level failures in component-based Internet services
Modeling and Control of Hybrid 3-D Gaits of Snake-Like Robots
Cluster Synchronization Control for Discrete-Time Complex Dynamical Networks: When Data Transmission Meets Constrained Bit Rate
Fast Multiscale Neighbor Embedding
Self Supervised Progressive Network for High Performance Video Object Segmentation
Neuro-Fuzzy Quantification of Personal Perceptions of Facial Images Based on a Limited Data Set
An approach to stability criteria of neural-network control systems
Conformal Symplectic Optimization for Stable Reinforcement Learning
Vector-entropy optimization-based neural-network approach to image reconstruction from projections
Patch Alignment Manifold Matting
D 2 Fed: Federated Semi-Supervised Learning With Dual-Role Additive Local Training and Dual-Perspective Global Aggregation
Underwater target classification in changing environments using an adaptive feature mapping
Feature Extraction With Deep Neural Networks by a Generalized Discriminant Analysis
Bilateral Cross-Modality Graph Matching Attention for Feature Fusion in Visual Question Answering
Lyapunov-Based Safe Reinforcement Learning for Microgrid Energy Management
Data-Driven Tabulation for Chemistry Integration Using Recurrent Neural Networks
General Robot Kinematics Decomposition Without Intermediate Markers
Links between PPCA and subspace methods for complete Gaussian density estimation
Learning All-In Collaborative Multiview Binary Representation for Clustering
Leader-Following Practical Cluster Synchronization for Networks of Generic Linear Systems: An Event-Based Approach
Out-of-Distribution Detection by Cross-Class Vicinity Distribution of In-Distribution Data
Weaknesses and drawbacks of a password authentication scheme using neural networks for multiserver architecture
Deep Neural Network Self-Distillation Exploiting Data Representation Invariance
Neural network learning algorithms for tracking minor subspace in high-dimensional data stream
A Novel Adaptive NN Prescribed Performance Control for Stochastic Nonlinear Systems
Emotional Multiagent Reinforcement Learning in Spatial Social Dilemmas
Enumeration of linear threshold functions from the lattice of hyperplane intersections
Refining Graph Structure for Incomplete Multi-View Clustering
Reinforcement learning for an ART-based fuzzy adaptive learning control network
Finite-Time and Fixed-Time Synchronization of Delayed Memristive Neural Networks via Adaptive Aperiodically Intermittent Adjustment Strategy
Gradient Matching Federated Domain Adaptation for Brain Image Classification
Hybrid Adjusting Variables-Dependent Event-Based Finite-Time State Estimation for Two-Time-Scale Markov Jump Complex Networks
Argus: Leveraging Multiview Images for Improved 3-D Scene Understanding With Large Language Models
Feature-Level Attention-Guided Multitask CNN for Fault Diagnosis and Working Conditions Identification of Rolling Bearing
Reconstruction-Based Anomaly Localization via Knowledge-Informed Self-Training
A neural network-based approximation method for discrete-time nonlinear servomechanism problem
Bounded Influence Support Vector Regression for Robust Single-Model Estimation
Change Detection in Synthetic Aperture Radar Images Based on Deep Neural Networks
A Plug-in Method for Representation Factorization in Connectionist Models
Scene Recognition by Manifold Regularized Deep Learning Architecture
A method to determine the required number of neural-network training repetitions
Learning Feature Embedding Refiner for Solving Vehicle Routing Problems
Two-Time Scale Tracking Control of Flexible Robots With Primal-Dual Inverse Reinforcement Learning
Spatiotemporal System Identification With Continuous Spatial Maps and Sparse Estimation
Adaptive Computation Algorithm for RBF Neural Network
Local Feature Weighting in Nearest Prototype Classification
Dual-Level Knowledge Distillation via Knowledge Alignment and Correlation
Silicon models of lateral inhibition
Knowledge-Based Prediction of Network Controllability Robustness
Eigenpaxels and a neural-network approach to image classification
Safety-Aware Pursuit-Evasion Games in Unknown Environments Using Gaussian Processes and Finite-Time Convergent Reinforcement Learning
Deep Representation-Based Domain Adaptation for Nonstationary EEG Classification
A Hybrid Pareto Mixture for Conditional Asymmetric Fat-Tailed Distributions