yusuke1997/dblp-id-title huggingface dataset:
An analysis of neural models for walking control
Robust Symbol Detection Based on Quaternion Neural Networks in Wireless Polarization-Shift-Keying Communications
A Survey on Brain Effective Connectivity Network Learning
Adaptive NN Tracking Control for Uncertain MIMO Nonlinear System With Time-Varying State Constraints and Disturbances
Clifford Support Vector Machines for Classification, Regression, and Recurrence
Multiscale Subgraph Adversarial Contrastive Learning
Pattern sequence recognition using a time-varying Hopfield network
Image-Text Surgery: Efficient Concept Learning in Image Captioning by Generating Pseudopairs
Dynamic Uncertain Causality Graph for Knowledge Representation and Probabilistic Reasoning: Statistics Base, Matrix, and Application
Hierarchical overlapped SOM's for pattern classification
Steepest descent algorithms for neural network controllers and filters
TRG-Net: An Interpretable and Controllable Rain Generator
Connections Between Nuclear-Norm and Frobenius-Norm-Based Representations
Practical Time-Varying Formation Tracking for Second-Order Nonlinear Multiagent Systems With Multiple Leaders Using Adaptive Neural Networks
QTT-DLSTM: A Cloud-Edge-Aided Distributed LSTM for Cyber-Physical-Social Big Data
Deep and Shallow Architecture of Multilayer Neural Networks
Deterministic Learning for Maximum-Likelihood Estimation Through Neural Networks
Financial model calibration using consistency hints
Semisupervised Change Detection Based on Bihierarchical Feature Aggregation and Extraction Network
Stigmergic Independent Reinforcement Learning for Multiagent Collaboration
A Hybrid Constructive Algorithm for Single-Layer Feedforward Networks Learning
Analog and digital FPGA implementation of BRIN for optimization problems
A local minimum for the 2-3-1 XOR network
Confusion Region Mining for Crowd Counting
Cognition-Driven Structural Prior for Instance-Dependent Label Transition Matrix Estimation
Iterative Multiview Subspace Learning for Unpaired Multiview Clustering
Robust nonlinear system identification using neural-network models
Rethinking Appearance-Based Deep Gait Recognition: Reviews, Analysis, and Insights From Gait Recognition Evolution
On the Effectiveness of Adversarial Training Against Backdoor Attacks
Exploring Duality in Visual Question-Driven Top-Down Saliency
Guest Editorial: Special Issue on Deep Representation and Transfer Learning for Smart and Connected Health
Target Controllability in Multilayer Networks via Minimum-Cost Maximum-Flow Method
Neural-Response-Based Extreme Learning Machine for Image Classification
A Unifying Objective Function of Independent Component Analysis for Ordering Sources by Non-Gaussianity
Nonlinear Identification With Local Model Networks Using GTLS Techniques and Equality Constraints
Circular backpropagation networks embed vector quantization
Continuous-Time Adaptive Critics
Robust Supervised Spline Embedding
Condensed Vector Machines: Learning Fast Machine for Large Data
Rapid Detection of Small Oscillation Faults via Deterministic Learning
Adaptive Weighted Ranking-Oriented Label Distribution Learning
Improving convergence and solution quality of Hopfield-type neural networks with augmented Lagrange multipliers
A neural network model which combines unsupervised and supervised learning
A Synthetic Minority Oversampling Technique Based on Gaussian Mixture Model Filtering for Imbalanced Data Classification
The application of neural networks to the papermaking industry
A softmin-based neural model for causal reasoning
Facial expression recognition in JAFFE dataset based on Gaussian process classification
Manifold Criterion Guided Transfer Learning via Intermediate Domain Generation
Analysis of the convergence properties of topology preserving neural networks
Commonality Autoencoder: Learning Common Features for Change Detection From Heterogeneous Images
Competitive neural trees for pattern classification
Multidimensional wavelet frames
Simple and Fast Calculation of the Second-Order Gradients for Globalized Dual Heuristic Dynamic Programming in Neural Networks
Unsupervised Feature Selection via Controllable Adaptive Graph Learning and Discriminative Feature Learning
Synchronization of an Inertial Neural Network With Time-Varying Delays and Its Application to Secure Communication
Weighted learning of bidirectional associative memories by global minimization
Neural network for quadratic optimization with bound constraints
Fuzzy lattice neural network (FLNN): a hybrid model for learning
Adaptive Pinning Control of Deteriorated Nonlinear Coupling Networks With Circuit Realization
Partition-based and sharp uniform error bounds
Robust error measure for supervised neural network learning with outliers
When to Switch: Planning and Learning for Partially Observable Multi-Agent Pathfinding
DisP+V: A Unified Framework for Disentangling Prototype and Variation From Single Sample per Person
A Novel Estimation Algorithm Based on Data and Low-Order Models for Virtual Unmodeled Dynamics
Anti-Attack Event-Triggered Control for Nonlinear Multi-Agent Systems With Input Quantization
Orthogonal least squares learning algorithm for radial basis function networks
Synchronization in an Array of Output-Coupled Boolean Networks With Time Delay
Virtual Classification: Modulating Domain-Specific Knowledge for Multidomain Crowd Counting
SinKD: Sinkhorn Distance Minimization for Knowledge Distillation
Improvement of the neighborhood based Levenberg-Marquardt algorithm by local adaptation of the learning coefficient
Scale-Invariant Amplitude Spectrum Modulation for Visual Saliency Detection
Discriminative Deep Quantization Hashing for Face Image Retrieval
A Shape-Constrained Neural Data Fusion Network for Health Index Construction and Residual Life Prediction
Quantized Magnetic Domain Wall Synapse for Efficient Deep Neural Networks
Understanding Adversarial Robustness From Feature Maps of Convolutional Layers
Errata to "fuzzy-neural network with general parameter adaptation for modeling of nonlinear time-series"
Exploiting application locality to design low-complexity, highly performing, and power-aware embedded classifiers
MetaSeg: Content-Aware Meta-Net for Omni-Supervised Semantic Segmentation
Passivity and Stability Analysis of Reaction-Diffusion Neural Networks With Dirichlet Boundary Conditions
Conditional Generative Denoising Autoencoder
Modified Kolmogorov's Neural Network in the Identification of Hammerstein and Wiener Systems
On Attracting Basins of Multiple Equilibria of a Class of Cellular Neural Networks
Augmented Real-Valued Time-Delay Neural Network for Compensation of Distortions and Impairments in Wireless Transmitters
Toward Quantized Model Parallelism for Graph-Augmented MLPs Based on Gradient-Free ADMM Framework
Efficient Exploratory Learning of Inverse Kinematics on a Bionic Elephant Trunk
A BCM theory of meta-plasticity for online self-reorganizing fuzzy-associative learning
Data-Driven H ∞ Optimal Output Feedback Control for Linear Discrete-Time Systems Based on Off-Policy Q-Learning
Comments on 'Optimal training of thresholded linear correlation classifiers' [with reply]
Multiscale optimization in neural nets
PolicyMamba: Localized Policy Attention With State Space Model for Land Cover Classification
A Dynamic Event-Triggered Approach to Recursive Filtering for Complex Networks With Switching Topologies Subject to Random Sensor Failures
Neural-Learning-Based Control for a Constrained Robotic Manipulator With Flexible Joints
FCMAC-Yager: A Novel Yager-Inference-Scheme-Based Fuzzy CMAC
A Dual-Stream-Modulated Learning Framework for Illuminating and Super-Resolving Ultra-Dark Images
Deep Ring-Block-Wise Network for Hyperspectral Image Classification
A Novel Separating Hyperplane Classification Framework to Unify Nearest-Class-Model Methods for High-Dimensional Data
A Distributed Proximal Consensus Algorithm for Energy Saving in Ethylene Production
Performance analysis of a pipelined backpropagation parallel algorithm
A Distributional Perspective on Multiagent Cooperation With Deep Reinforcement Learning
Broad Critic Deep Actor Reinforcement Learning for Continuous Control
Enhancing Graph Reconstruction: Uniting Dual-Level Graph Structure With Graph Reinforcement Learning
BNAS: Efficient Neural Architecture Search Using Broad Scalable Architecture
Interactive visualization and analysis of hierarchical neural projections for data mining
Adaptive Data Embedding Framework for Multiclass Classification
Optimal Communication Network-Based H ∞ Quantized Control With Packet Dropouts for a Class of Discrete-Time Neural Networks With Distributed Time Delay
Accurate Estimation of ICA Weight Matrix by Implicit Constraint Imposition Using Lie Group
Exponential Synchronization of Memristive Neural Networks With Delays: Interval Matrix Method
Feature Selection Using a Neural Framework With Controlled Redundancy
Novel Discrete-Time Recurrent Neural Networks Handling Discrete-Form Time-Variant Multi-Augmented Sylvester Matrix Problems and Manipulator Application
CADM+: Confusion-Based Learning Framework With Drift Detection and Adaptation for Real-Time Safety Assessment
Assessing Short-Term Voltage Stability of Electric Power Systems by a Hierarchical Intelligent System
Neural network classification: a Bayesian interpretation
Building Sparse Multiple-Kernel SVM Classifiers
Location and stability of the high-gain equilibria of nonlinear neural networks
Neural Embedding Singular Value Decomposition for Collaborative Filtering
Application of adaptive constructive neural networks to image compression
Semisupervised Semantic Segmentation by Improving Prediction Confidence
Data-Based Identification and Control of Nonlinear Systems via Piecewise Affine Approximation
Neural network control of communications systems
Adaptive Dynamic Programming for a Class of Complex-Valued Nonlinear Systems
Adaptive Predictive Control Using Neural Network for a Class of Pure-Feedback Systems in Discrete Time
Dual Contrastive Learning Network for Graph Clustering
One-Step Multiview Clustering via Adaptive Graph Learning and Spectral Rotation
A neural-network architecture for syntax analysis
Modified RNN for Solving Comprehensive Sylvester Equation With TDOA Application
Joint solution of low, intermediate, and high-level vision tasks by evolutionary optimization: Application to computer vision at low SNR
Correlated Chained Gaussian Processes for Datasets With Multiple Annotators
FedSI: Federated Subnetwork Inference for Efficient Uncertainty Quantification
A Novel Feature Selection Method for High-Dimensional Mixed Decision Tables
Artificial Neural Networks for Modelling and Control of Nonlinear Systems [Book Reviews]
Efficient Bayesian Policy Reuse With a Scalable Observation Model in Deep Reinforcement Learning
Cross-Modal Attention With Semantic Consistence for Image-Text Matching
Neural Network-Based Event-Triggered State Feedback Control of Nonlinear Continuous-Time Systems
Adaptive Neural Network Output-Constraint Control for a Variable-Length Rotary Arm With Input Backlash Nonlinearity
A nonlinear projection method based on Kohonen's topology preserving maps
A remote password authentication scheme for multiserver architecture using neural networks
Accurate and Efficient Event-Based Semantic Segmentation Using Adaptive Spiking Encoder-Decoder Network
Learning to Detect Industrial Time-Series Anomalies From Imputation Consistency With Sparse Observations
Two Efficient Twin ELM Methods With Prediction Interval
MaskTrack: Auto-Labeling and Stable Tracking for Video Object Segmentation
A new approach to Kanerva's sparse distributed memory
Learning Social Spatio-Temporal Relation Graph in the Wild and a Video Benchmark
E-3SFC: Communication-Efficient Federated Learning With Double-Way Features Synthesizing
An L 1 -and-L 2 -Norm-Oriented Latent Factor Model for Recommender Systems
COMPOSE: A Semisupervised Learning Framework for Initially Labeled Nonstationary Streaming Data
Person Reidentification Based on Elastic Projections
Deep Sparse Tensor Filtering Network for Synthetic Aperture Radar Images Classification
Hierarchical Temporal Memory Based on Spin-Neurons and Resistive Memory for Energy-Efficient Brain-Inspired Computing
Quantizing for minimum average misclassification risk
Finite-Time Synchronization for Delayed Complex Dynamical Networks With Synchronizing or Desynchronizing Impulses
HGBER: Heterogeneous Graph Neural Network With Bidirectional Encoding Representation
Wavelet Differential Neural Network Observer
Command-Filtered Robust Adaptive NN Control With the Prescribed Performance for the 3-D Trajectory Tracking of Underactuated AUVs
Adaptive Noise-Learning Differential Neural Solution for Time-Dependent Equality-Constrained Quadratic Optimization
Exponential Synchronization of Coupled Inertial Neural Networks With Hybrid Delays and Stochastic Impulses
Distributional Drift Adaptation With Temporal Conditional Variational Autoencoder for Multivariate Time Series Forecasting
Unsupervised query-based learning of neural networks using selective-attention and self-regulation
TAG: Teacher-Advice Mechanism With Gaussian Process for Reinforcement Learning
Model Behavior Preserving for Class-Incremental Learning
Temporal updating scheme for probabilistic neural network with application to satellite cloud classification - further results
Split-Level Evolutionary Neural Architecture Search With Elite Weight Inheritance
A Unified Optimal Transport Framework for Cross-Modal Retrieval With Noisy Labels
Policy Improvement by a Model-Free Dyna Architecture
LSOTB-TIR: A Large-Scale High-Diversity Thermal Infrared Single Object Tracking Benchmark
Exponential Synchronization of Neural Networks With Discrete and Distributed Delays Under Time-Varying Sampling
Learning efficiency of redundant neural networks in Bayesian estimation
Fixed-Time Passivity and Synchronization of Multiweighted Coupled Memristive Neural Networks With Adaptive Couplings
Fairness Guarantees in a Neural Network Adaptive Congestion Control Framework
Local Linear Regression for Function Learning: An Analysis Based on Sample Discrepancy
Heteroassociations of spatio-temporal sequences with the bidirectional associative memory
Deep Spectral Clustering With Constrained Laplacian Rank
A Hierarchical Graph Neuron Scheme for Real-Time Pattern Recognition
New adaptive color quantization method based on self-organizing maps
An Exemplar-Based Multi-View Domain Generalization Framework for Visual Recognition
Robust Regression Estimation Based on Low-Dimensional Recurrent Neural Networks
Deep Reinforcement Learning: A Survey
Sparse Bayesian Extreme Learning Machine for Multi-classification
Partial Multilabel Learning Using Noise-Tolerant Broad Learning System With Label Enhancement and Dimensionality Reduction
Task decomposition and module combination based on class relations: a modular neural network for pattern classification
Relative Entropy Regularized Sample-Efficient Reinforcement Learning With Continuous Actions
Data-Driven Feedforward Learning With Force Ripple Compensation for Wafer Stages: A Variable-Gain Robust Approach
A Solution Path Algorithm for General Parametric Quadratic Programming Problem
Collective Behavior of a Small-World Recurrent Neural System With Scale-Free Distribution
Hash Bit Selection via Collaborative Neurodynamic Optimization With Discrete Hopfield Networks
Face recognition using kernel direct discriminant analysis algorithms
A Block EM Algorithm for Multivariate Skew Normal and Skew $t$ -Mixture Models
Fixed-Time Synchronization of Coupled Neural Networks With Discontinuous Activation and Mismatched Parameters
Predicting sun spots using a layered perceptron neural network
K-Means Clustering With Natural Density Peaks for Discovering Arbitrary-Shaped Clusters
A Highly Effective and Robust Membrane Potential-Driven Supervised Learning Method for Spiking Neurons
Discrete recurrent neural networks for grammatical inference
Global and Local Interactive Perception Network for Referring Image Segmentation
Further results on adaptive control for a class of nonlinear systems using neural networks
Stability Analysis for Delayed Neural Networks With an Improved General Free-Matrix-Based Integral Inequality
Behavior control of coherent-type neural networks by carrier-frequency modulation
Quasi-Lagrangian Neural Network for Convex Quadratic Optimization
Fuzzy wavelet neural network models for prediction and identification of dynamical systems
Motivated Optimal Developmental Learning for Sequential Tasks Without Using Rigid Time-Discounts
Multiscale Dynamic Curvelet Scattering Network
Fast-Solving Quasi-Optimal LS-S 3 VM Based on an Extended Candidate Set
DSP-based hierarchical neural network modulation signal classification
Tracking Control for Nonaffine Systems: A Self-Organizing Approximation Approach
A decentralized control of interconnected systems using neural networks
A general framework for learning rules from data
LSTM: A Search Space Odyssey
Guest Editorial Special Issue on Effective Feature Fusion in Deep Neural Networks
EmT: A Novel Transformer for Generalized Cross-Subject EEG Emotion Recognition
Chaotic neuron models and their VLSI circuit implementations
Finite-Time Consensus for Multiagent Systems With Cooperative and Antagonistic Interactions
A Class of Single-Class Minimax Probability Machines for Novelty Detection
An overview of statistical learning theory
An Active Repetitive Learning Control Method for Lateral Suspension Systems of High-Speed Trains
Adaptive Neural Network Based Control of Noncanonical Nonlinear Systems
Semantic-Aligned Code Summarization: Bridging the Gap Between Code and Natural Language Through Data Flow Analysis
Adaptive Convex Combination Approach for the Identification of Improper Quaternion Processes
PDE-Based Boundary Adaptive Consensus Control of Multiagent Systems With Input Constraints
Decorrelation of Neutral Vector Variables: Theory and Applications
Online Self-Triggered Transmission Control With Critic Learning for Discrete Nonlinear Systems
Human-Centered Saliency Detection
A Kernel Approach for Semisupervised Metric Learning
Solving Pseudomonotone Variational Inequalities and Pseudoconvex Optimization Problems Using the Projection Neural Network
Learning Unified Anchor Graph for Joint Clustering of Hyperspectral and LiDAR Data
Gabor-Like Image Filtering Using a Neural Microcircuit
Graph Exploration for Effective Multiagent Q-Learning
Nonsynaptic Error Backpropagation in Long-Term Cognitive Networks
Real-Time Network Latency Estimation With Pretrained Generative Models
How delays affect neural dynamics and learning
Probabilistic sequential independent components analysis
Generalized Linear Discriminant Analysis: A Unified Framework and Efficient Model Selection
Competitive Repetition Suppression (CoRe) Clustering: A Biologically Inspired Learning Model With Application to Robust Clustering
MNTZNN for Solving Hybrid Double-Deck Dynamic Nonlinear Equation System Applied to Robot Manipulator Control
Self-adaptive blind source separation based on activation functions adaptation
Negative Deterministic Information-Based Multiple Instance Learning for Weakly Supervised Object Detection and Segmentation
A simplification of the backpropagation-through-time algorithm for optimal neurocontrol
A unified neural-network-based speaker localization technique
Deformed Graph Laplacian for Semisupervised Learning
Distributed Adaptive Fault-Tolerant Time-Varying Formation Control of Unmanned Airships With Limited Communication Ranges Against Input Saturation for Smart City Observation
Robust Recurrent Kernel Online Learning
Improved Stability Analysis for Delayed Neural Networks
Learning Robust Discriminant Subspace Based on Joint L₂, ₚ- and L₂, ₛ-Norm Distance Metrics
Large Scale Time-Series Representation Learning via Simultaneous Low- and High-Frequency Feature Bootstrapping
Compositional Generative Mapping for Tree-Structured Data - Part II: Topographic Projection Model
A Semantic Change Detection Network Based on Boundary Detection and Task Interaction for High-Resolution Remote Sensing Images
A Gradient-Guided Evolutionary Neural Architecture Search
An effective method of pruning support vector machine classifiers
Efficient Reinforcement Learning via Probabilistic Trajectory Optimization
A new feedback neural network with supervised learning
Achieving Fair Load Balancing by Invoking a Learning Automata-Based Two-Time-Scale Separation Paradigm
Neural Network Control of Underactuated Surface Vehicles With Prescribed Trajectory Tracking Performance
Adaptive Exponential Synchronization of Multislave Time-Delayed Recurrent Neural Networks With Lévy Noise and Regime Switching
Finite-Time Stabilization and Adaptive Control of Memristor-Based Delayed Neural Networks
Learning a Low Tensor-Train Rank Representation for Hyperspectral Image Super-Resolution
Perturbed Progressive Learning for Semisupervised Defect Segmentation
Multilabel Transfer Learning Method With Dynamic Multimetric for Coupling Fault Diagnosis
A Consistent Model for Lazzaro Winner-Take-All Circuit With Invariant Subthreshold Behavior
Exponential Synchronization of Coupled Stochastic Memristor-Based Neural Networks With Time-Varying Probabilistic Delay Coupling and Impulsive Delay
Synchronization of Uncertain Coupled Neural Networks With Time-Varying Delay of Unknown Bound via Distributed Delayed Impulsive Control
Learning Harmonium Models With Infinite Latent Features
Subspace information criterion for nonquadratic regularizers-Model selection for sparse regressors
Kernel Adaptive Filtering Over Complex Networks
Robust Lidar-Based Localization Scheme for Unmanned Ground Vehicle via Multisensor Fusion
Extensions of Kmeans-Type Algorithms: A New Clustering Framework by Integrating Intracluster Compactness and Intercluster Separation
Graph Regularized Restricted Boltzmann Machine
Two-Stream Deep Hashing With Class-Specific Centers for Supervised Image Search
Regional Evaluation Study of VFTO Interference to Secondary Side Cables Based on Cloud Model and MARCOS
MonOri: Orientation-Guided PnP for Monocular 3-D Object Detection
Self-Supervised Spatiotemporal Clustering of Vehicle Emissions With Graph Convolutional Network
Model-Free λ-Policy Iteration for Discrete-Time Linear Quadratic Regulation
A Scoring Scheme for Online Feature Selection: Simulating Model Performance Without Retraining
GLGAN-VC: A Guided Loss-Based Generative Adversarial Network for Many-to-Many Voice Conversion
Lesion-Decoupling-Based Segmentation With Large-Scale Colon and Esophageal Datasets for Early Cancer Diagnosis
LFT: Neural Ordinary Differential Equations With Learnable Final-Time
Structural Regularized Support Vector Machine: A Framework for Structural Large Margin Classifier
New Spiking Cortical Model for Invariant Texture Retrieval and Image Processing
Explainable Uncertainty-Aware Convolutional Recurrent Neural Network for Irregular Medical Time Series
Resilient Model Free Adaptive Distributed LFC for Multi-Area Power Systems Against Jamming Attacks
Generative Dual-Adversarial Network With Spectral Fidelity and Spatial Enhancement for Hyperspectral Pansharpening
An Information Theoretic Approach of Designing Sparse Kernel Adaptive Filters
A Dimensionality-Reducible Operational Optimal Control for Wastewater Treatment Process
Functional equivalence between radial basis function networks and fuzzy inference systems
Deep Blind Hyperspectral Image Super-Resolution
Adaptive Neural Consensus Tracking Control for Nonlinear Multiagent Systems Using Integral Barrier Lyapunov Functionals
Discriminative Block-Diagonal Representation Learning for Image Recognition
Learning Granularity-Aware Affordances From Human-Object Interaction for Tool-Based Functional Dexterous Grasping
Fault-Tolerant Attitude Tracking Control Driven by Spiking NNs for Unmanned Aerial Vehicles
Seeking a Hierarchical Prototype for Multimodal Gesture Recognition
Person Re-identification by Multi-hypergraph Fusion
Artificial Neural Networks for Control of a Grid-Connected Rectifier/Inverter Under Disturbance, Dynamic and Power Converter Switching Conditions
Output Feedback Control for Set Stabilization of Boolean Control Networks
ChatABL: Abductive Learning via Natural Language Interaction With ChatGPT
Federated Learning Based on Model Discrepancy and Variance Reduction