yusuke1997/dblp-id-title huggingface dataset:
The Stability of Stochastic Coupled Systems With Time-Varying Coupling and General Topology Structure
Contextual Learning in Fourier Complex Field for VHR Remote Sensing Images
Fast-Converging Simulated Annealing for Ising Models Based on Integral Stochastic Computing
Dynamical behavior of autoassociative memory performing novelty filtering for signal enhancement
Surrogate-Assisted Hybrid-Model Estimation of Distribution Algorithm for Mixed-Variable Hyperparameters Optimization in Convolutional Neural Networks
Semisupervised Classification Through the Bag-of-Paths Group Betweenness
Hierarchical Training of Deep Neural Networks Using Early Exiting
New RNN Algorithms for Different Time-Variant Matrix Inequalities Solving Under Discrete-Time Framework
An Experimentation Platform for On-Chip Integration of Analog Neural Networks: A Pathway to Trusted and Robust Analog/RF ICs
Numerical Solutions of Stochastic Differential Equations (Kloeden, P.K. and Platen, E.; 2008) [Book reviews]
From Whole to Part: Reference-Based Representation for Clustering Categorical Data
Improved Stability and Stabilization Results for Stochastic Synchronization of Continuous-Time Semi-Markovian Jump Neural Networks With Time-Varying Delay
Robust radar target classifier using artificial neural networks
Permutation Jaccard Distance-Based Hierarchical Clustering to Estimate EEG Network Density Modifications in MCI Subjects
A Joint Intensity-Neuromorphic Event Imaging System With Bandwidth-Limited Communication Channel
Focus, Fusion, and Rectify: Context-Aware Learning for COVID-19 Lung Infection Segmentation
GenSoFNN: a generic self-organizing fuzzy neural network
Physics-Driven Anomaly Detection and Correction for Spectroscopic Parameter Estimation
Recurrent Neural Dynamics Models for Perturbed Nonstationary Quadratic Programs: A Control-Theoretical Perspective
Twin Neurons for Efficient Real-World Data Distribution in Networks of Neural Cliques: Applications in Power Management in Electronic Circuits
Detecting Wash Trade in Financial Market Using Digraphs and Dynamic Programming
A Statistical Physics Perspective: Understanding the Causality Behind Convolutional Neural Network Adversarial Vulnerability
Heterogeneous Prototype Learning From Contaminated Faces Across Domains via Disentangling Latent Factors
A recurrent neural network for solving nonlinear convex programs subject to linear constraints
Reconstructing Quantum States With Quantum Reservoir Networks
Adaptive probabilistic neural networks for pattern classification in time-varying environment
Ensemble Denoising Autoencoders Based on Broad Learning System for Time-Series Anomaly Detection
Backdoor Learning: A Survey
A Unified Self-Stabilizing Neural Network Algorithm for Principal and Minor Components Extraction
Select Your Own Counterparts: Self-Supervised Graph Contrastive Learning With Positive Sampling
Topic-Based Algorithm for Multilabel Learning With Missing Labels
Data Augmentation in Defect Detection of Sanitary Ceramics in Small and Non-i.i.d Datasets
Multiple Mittag-Leffler Stability of Almost Periodic Solutions for Fractional-Order Delayed Neural Networks: Distributed Optimization Approach
Several Extensions in Methods for Adaptive Output Feedback Control
Robust Principal Component Analysis via Joint Reconstruction and Projection
A Survey on Offline Reinforcement Learning: Taxonomy, Review, and Open Problems
Hybrid Reinforcement Learning for Power Transmission Network Self-Healing Considering Wind Power
Learning Dynamic Compact Memory Embedding for Deformable Visual Object Tracking
Region-Based Object Recognition by Color Segmentation Using a Simplified PCNN
Adaptive Neural Network Control for Full-State Constrained Robotic Manipulator With Actuator Saturation and Time-Varying Delays
Memristor Bridge Synapse-Based Neural Network and Its Learning
Content-based audio classification and retrieval by support vector machines
Output Feedback Q-Learning for Linear-Quadratic Discrete-Time Finite-Horizon Control Problems
Mixing Matrix Estimation From Sparse Mixtures With Unknown Number of Sources
Efficient Architecture Search for Continual Learning
Distributed Path Following of Multiple Under-Actuated Autonomous Surface Vehicles Based on Data-Driven Neural Predictors via Integral Concurrent Learning
Energy-to-Peak State Estimation for Switched Neutral-Type Neural Networks With Sector Condition via Sampled-Data Information
Zeroth-Order Method for Distributed Optimization With Approximate Projections
Delay-Independent Stability of Genetic Regulatory Networks
Spectral Super-Resolution via Deep Low-Rank Tensor Representation
Distributed Deep Learning With Gradient Compression for Big Remote Sensing Image Interpretation
A Spatial-Temporal Graph Model for Pronunciation Feature Prediction of Chinese Poetry
End-to-End Feature-Aware Label Space Encoding for Multilabel Classification With Many Classes
Universal approximation to nonlinear operators by neural networks with arbitrary activation functions and its application to dynamical systems
Stable and Efficient Policy Evaluation
Distribution Fitting for Combating Mode Collapse in Generative Adversarial Networks
A Neurodynamic Optimization Method for Recovery of Compressive Sensed Signals With Globally Converged Solution Approximating to l 0 Minimization
New nonleast-squares neural network learning algorithms for hypothesis testing
Inphase and Antiphase Synchronization in a Delay-Coupled System With Applications to a Delay-Coupled FitzHugh-Nagumo System
Predicting Best-Selling New Products in a Major Promotion Campaign Through Graph Convolutional Networks
Deep Rating and Review Neural Network for Item Recommendation
Heterogeneous Regularization-Based Tensor Subspace Clustering for Hyperspectral Band Selection
Output Feedback-Based Boundary Control of Uncertain Coupled Semilinear Parabolic PDE Using Neurodynamic Programming
Energy function for the one-unit Oja algorithm
Decision-Making With Speculative Opponent Models
Finite-Time Stability of Nonlinear Impulsive Systems With Applications to Neural Networks
Prototypical Learning Guided Context-Aware Segmentation Network for Few-Shot Anomaly Detection
OP-ELM: optimally pruned extreme learning machine
An Integrated Learning and Filtering Approach for Fault Diagnosis of a Class of Nonlinear Dynamical Systems
Neural Decomposition of Time-Series Data for Effective Generalization
Composite Learning Adaptive Tracking Control for Full-State Constrained Multiagent Systems Without Using the Feasibility Condition
Transferability-Guided Cross-Domain Cross-Task Transfer Learning
Information-State-Based Reinforcement Learning for the Control of Partially Observed Nonlinear Systems
New Insights Into Drug Repurposing for COVID-19 Using Deep Learning
A finite-element mesh generator based on growing neural networks
Constraint-Driven Causal Representation Learning for Vigilance Robust Estimation in Brain-Computer Interface
Topology and Content Co-Alignment Graph Convolutional Learning
Multilayer Sparsity-Based Tensor Decomposition for Low-Rank Tensor Completion
Variational Regularized 2-D Nonnegative Matrix Factorization
Anchor-Sharing and Cluster-Wise Contrastive Network for Multiview Representation Learning
Pseudo-Orthogonalization of Memory Patterns for Associative Memory
A Unified Framework for Multilingual Speech Recognition in Air Traffic Control Systems
Hierarchical Representation Learning in Graph Neural Networks With Node Decimation Pooling
Noise-Robust Federated Learning via Interclient Co-Distillation
The ensemble approach to neural-network learning and generalization
EaLDL: Element-Aware Lifelong Dictionary Learning for Multimode Process Monitoring
Reusable Reinforcement Learning via Shallow Trails
Learning Rates of Deep Nets for Geometrically Strongly Mixing Sequence
Self-Triggered Approximate Optimal Neuro-Control for Nonlinear Systems Through Adaptive Dynamic Programming
Competition and cooperation in neuronal processing
Prescribed Performance Fault-Tolerant Control for Uncertain Nonlinear MIMO System Using Actor-Critic Learning Structure
New stability conditions for Hopfield networks in partial simultaneous update mode
Finite-Horizon Optimal Control of Boolean Control Networks: A Unified Graph-Theoretical Approach
Biased Complementary-Label Learning Without True Labels
Exploring Correlations Among Tasks, Clusters, and Features for Multitask Clustering
Adaptive Optimal Control of Networked Nonlinear Systems With Stochastic Sensor and Actuator Dropouts Based on Reinforcement Learning
Rival-Model Penalized Self-Organizing Map
RBoost: Label Noise-Robust Boosting Algorithm Based on a Nonconvex Loss Function and the Numerically Stable Base Learners
Neurocomputing with time delay analysis for solving convex quadratic programming problems
Rapid Dynamical Pattern Classification via Deterministic Learning From Sampling Sequences
On fuzzy modeling using fuzzy neural networks with the back-propagation algorithm
Corrections to: "Estimator Design for Discrete-Time Switched Neural Networks With Asynchronous Switching and Time-Varying Delay"
When Dictionary Learning Meets Deep Learning: Deep Dictionary Learning and Coding Network for Image Recognition With Limited Data
Flexible Body Partition-Based Adversarial Learning for Visible Infrared Person Re-Identification
Event-Driven Intrinsic Plasticity for Spiking Convolutional Neural Networks
AD-NEv: A Scalable Multilevel Neuroevolution Framework for Multivariate Anomaly Detection
ECCA: Efficient Correntropy-Based Clustering Algorithm With Orthogonal Concept Factorization
Nonsingular Gradient Descent Algorithm for Interval Type-2 Fuzzy Neural Network
Neurocontrollers trained with rules extracted by a genetic assisted reinforcement learning system
Trainable Delays in Time Delay Neural Networks for Learning Delayed Dynamics
Local Convergence Analysis of FastICA and Related Algorithms
Graph Evolution-Based Vertex Extraction for Hyperspectral Anomaly Detection
Why Batch Normalization Damage Federated Learning on Non-IID Data?
Distributed Dissipative State Estimation for Markov Jump Genetic Regulatory Networks Subject to Round-Robin Scheduling
Global Exponential Stability of Bidirectional Associative Memory Neural Networks With Time Delays
Convergence Dynamics of Stochastic Cohen-Grossberg Neural Networks With Unbounded Distributed Delays
A fast iterative nearest point algorithm for support vector machine classifier design
Computing Time-Varying Quadratic Optimization With Finite-Time Convergence and Noise Tolerance: A Unified Framework for Zeroing Neural Network
Metafeature Selection via Multivariate Sparse-Group Lasso Learning for Automatic Hyperparameter Configuration Recommendation
Globally asymptotical stability of discrete-time analog neural networks
Temporal coding in a silicon network of integrate-and-fire neurons
Incomplete Multiview Clustering Based on Consensus Information
SimAD: A Simple Dissimilarity-Based Approach for Time-Series Anomaly Detection
A Survey of Computational Intelligence Techniques for Wind Power Uncertainty Quantification in Smart Grids
Distributed Neurodynamic Models for Solving a Class of System of Nonlinear Equations
Robust State Estimation for Uncertain Neural Networks With Time-Varying Delay
Diffusion network architectures for implementation of Gibbs samplers with applications to assignment problems
One-Class-at-a-Time Removal Sequence Planning Method for Multiclass Classification Problems
Understanding Convolutional Neural Networks From Excitations
Distributed Neural Networks Training for Robotic Manipulation With Consensus Algorithm
Contrastive Hebbian Feedforward Learning for Neural Networks
Common Nature of Learning Between Back-Propagation and Hopfield-Type Neural Networks for Generalized Matrix Inversion With Simplified Models
An Incremental Design of Radial Basis Function Networks
Sample Efficient Deep Reinforcement Learning With Online State Abstraction and Causal Transformer Model Prediction
Online Multi-Agent Forecasting With Interpretable Collaborative Graph Neural Networks
Scalable Nonparametric Low-Rank Kernel Learning Using Block Coordinate Descent
Back-propagation learning and nonidealities in analog neural network hardware
Online Adaptable Offline RL With Guidance Model
Threshold Complex-Valued Neural Associative Memory
Neural network application for direct feedback controllers
Regularized Instance Weighting Multiview Clustering via Late Fusion Alignment
Analogy-Detail Networks for Object Recognition
Implementing projection pursuit learning
Data-Driven Terminal Iterative Learning Consensus for Nonlinear Multiagent Systems With Output Saturation
HOT-GAN: Hilbert Optimal Transport for Generative Adversarial Network
The topographic organization and visualization of binary data using multivariate-Bernoulli latent variable models
ABNN: Adaptive-Gating Binary Neural Network With Dynamic Activation Quantization for Industrial Health Status Prediction
Reinforcement Learning-Based H∞ Control of 2-D Markov Jump Roesser Systems With Optimal Disturbance Attenuation
Function Approximation Using Combined Unsupervised and Supervised Learning
A convolutional learning system for object classification in 3-D lidar data
Greedy Projected Gradient-Newton Method for Sparse Logistic Regression
Deep Multimanifold Transformation-Based Multivariate Time Series Fault Detection
General fuzzy min-max neural network for clustering and classification
Probabilistic design of layered neural networks based on their unified framework
Scalable Label Distribution Learning for Multi-Label Classification
Performance enhancement using nonlinear preprocessing
FedSTS: A Stratified Client Selection Framework for Consistently Fast Federated Learning
Inverse Adversarial Diversity Learning for Network Ensemble
Global Plus Local Jointly Regularized Support Vector Data Description for Novelty Detection
A scalable optoelectronic neural system using free-space optical interconnects
Binary tree of SVM: a new fast multiclass training and classification algorithm
Weight adaptation and oscillatory correlation for image segmentation
Object Categorization Using Class-Specific Representations
Monotonic Quantile Network for Worst-Case Offline Reinforcement Learning
Robust adaptive spread-spectrum receiver with neural net preprocessing in non-Gaussian noise
Adaptively Customizing Activation Functions for Various Layers
Parameter-Efficient Deep Neural Networks With Bilinear Projections
Analysis and verification of an analog VLSI incremental outer-product learning system
An ordering algorithm for pattern presentation in fuzzy ARTMAP that tends to improve generalization performance
Neuromorphic Context-Dependent Learning Framework With Fault-Tolerant Spike Routing
Density Encoding Enables Resource-Efficient Randomly Connected Neural Networks
Temporal Network Embedding Enhanced With Long-Range Dynamics and Self-Supervised Learning
Continual Learning of Generative Models With Limited Data: From Wasserstein-1 Barycenter to Adaptive Coalescence
Delay-Slope-Dependent Stability Results of Recurrent Neural Networks
A Modified Probabilistic Neural Network for Partial Volume Segmentation in Brain MR Image
Data-Based System Modeling Using a Type-2 Fuzzy Neural Network With a Hybrid Learning Algorithm
Alleviate the Impact of Heterogeneity in Network Alignment From Community View
On the Optimal Expressive Power of ReLU DNNs and Its Application in Approximation With the Kolmogorov Superposition Theorem
A Theoretical Foundation of Goal Representation Heuristic Dynamic Programming
Bias to Balance: New-Knowledge-Preferred Few-Shot Class-Incremental Learning via Transition Calibration
Dynamic Analysis of Hybrid Impulsive Delayed Neural Networks With Uncertainties
Output Feedback Q-Learning Control for the Discrete-Time Linear Quadratic Regulator Problem
Fuzzy neural networks for machine maintenance in mass transit railway system
Discrete-Time Neural Inverse Optimal Control for Nonlinear Systems via Passivation
Task-Oriented Robot Cognitive Manipulation Planning Using Affordance Segmentation and Logic Reasoning
Learning exponential state-growth languages by hill climbing
Designing Fully Distributed Adaptive Event-Triggered Controllers for Networked Linear Systems With Matched Uncertainties
Fast initialization for cascade-correlation learning
Adaptive Tracking Control of State Constraint Systems Based on Differential Neural Networks: A Barrier Lyapunov Function Approach
Adversarial Kinetic Prototype Framework for Open Set Recognition
Adaptive Robust Stochastic Configuration Networks for Near-Infrared Multivariate Analysis
Neurodynamics of Cognition and Consciousness (Perlovsky, L.I. and Kozma, R., Eds.; 2007) [Book review]
Representation Learning and Reinforcement Learning for Dynamic Complex Motion Planning System
New Discrete-Time ZNN Models for Least-Squares Solution of Dynamic Linear Equation System With Time-Varying Rank-Deficient Coefficient
Different types of signal coupling in the visual cortex related to neural mechanisms of associative Processing and perception
On the approximation of stochastic processes by approximate identity neural networks
Bounded H infty Synchronization and State Estimation for Discrete Time-Varying Stochastic Complex Networks Over a Finite Horizon
A hierarchical self-organizing approach for learning the patterns of motion trajectories
Similarity Constraints-Based Structured Output Regression Machine: An Approach to Image Super-Resolution
A Concurrent Multiscale Detector for End-to-End Image Matching
Real-time collision-free motion planning of a mobile robot using a Neural Dynamics-based approach
Distributed Finite-Time Optimization of Second-Order Multiagent Systems With Unknown Velocities and Disturbances
Reliability characteristics of quadratic Hebbian-type associative memories in optical and electronic network implementations
XFlow: Cross-Modal Deep Neural Networks for Audiovisual Classification
Learning Poisson Systems and Trajectories of Autonomous Systems via Poisson Neural Networks
Non-Divergence of Stochastic Discrete Time Algorithms for PCA Neural Networks
Iterative generation of higher-order nets in polynomial time using linear programming
The geometrical learning of binary neural networks
A Simplified Adaptive Neural Network Prescribed Performance Controller for Uncertain MIMO Feedback Linearizable Systems
Robust Adaptive Control for a Small Unmanned Helicopter Using Reinforcement Learning
Distributed Optimization for Disturbed Second-Order Multiagent Systems Based on Active Antidisturbance Control
GenDet: Meta Learning to Generate Detectors From Few Shots
Reliable roll force prediction in cold mill using multiple neural networks
Intelligent Control of Flexible Hypersonic Flight Dynamics With Input Dead Zone Using Singular Perturbation Decomposition
Probabilistic approaches to fault detection in networked discrete event systems
Distributed Frank-Wolfe Solver for Stochastic Optimization With Coupled Inequality Constraints
Structure-Constrained Low-Rank Representation
Discriminative Fisher Embedding Dictionary Transfer Learning for Object Recognition
Hierarchical Theme and Topic Modeling
Divide and Retain: A Dual-Phase Modeling for Long-Tailed Visual Recognition
Whitening-Net: A Generalized Network to Diagnose the Faults Among Different Machines and Conditions
Graph Joint Representation Clustering via Penalized Graph Contrastive Learning
Feedback Solution to Optimal Switching Problems With Switching Cost
Delay-Dependent Stability Criteria for Generalized Neural Networks With Two Delay Components
Distance-Aware Attention Reshaping for Enhancing Generalization of Neural Solvers
Multistability of Two Kinds of Recurrent Neural Networks With Activation Functions Symmetrical About the Origin on the Phase Plane
Trajectory generation and modulation using dynamic neural networks
An Exact Reformulation of Feature-Vector-Based Radial-Basis-Function Networks for Graph-Based Observations
Decentralized Consensus Inference-Based Hierarchical Reinforcement Learning for Multiconstrained UAV Pursuit-Evasion Game
Probabilistic self-organizing maps for continuous data
A new k-winners-take-all neural network and its array architecture
Time-Frequency Representation and Convolutional Neural Network-Based Emotion Recognition
Distributed GNE Seeking Strategy for Second-Integrator Multiplayer Systems Over Directed Topologies
DashFusion: Dual-Stream Alignment With Hierarchical Bottleneck Fusion for Multimodal Sentiment Analysis
Energy-Efficient SVM Learning Control System for Biped Walking Robots
Adaptive Critic Learning for Constrained Optimal Event-Triggered Control With Discounted Cost
Self-Tuned Discrimination-Aware Method for Unsupervised Feature Selection
Label Distribution Learning by Exploiting Fuzzy Label Correlation
Stability of Singular Discrete-Time Neural Networks With State-Dependent Coefficients and Run-to-Run Control Strategies
Observer-Based Neural Control of N-Link Flexible-Joint Robots
Graph-Based Contrastive Learning for Description and Detection of Local Features
RMoR-Aion: Robust Multioutput Regression by Simultaneously Alleviating Input and Output Noises
Stability and approximator convergence in nonparametric nonlinear adaptive control
Harmonic competition: a self-organizing multiple criteria optimization
Self-Paced Co-Training of Graph Neural Networks for Semi-Supervised Node Classification
Principal Component Analysis With Complex Kernel: The Widely Linear Model
The Unified Task Assignment for Underwater Data Collection With Multi-AUV System: A Reinforced Self-Organizing Mapping Approach
PointWavelet: Learning in Spectral Domain for 3-D Point Cloud Analysis
Unsupervised Learning for Salient Object Detection via Minimization of Bilinear Factor Matrix Norm
Learning Disentangled Representation for Multimodal Cross-Domain Sentiment Analysis
A Timestamp-Based Inertial Best-Response Dynamics for Distributed Nash Equilibrium Seeking in Weakly Acyclic Games
A new approach to artificial neural networks
A Fast and Accurate Online Sequential Learning Algorithm for Feedforward Networks
Nonsingular Practical Fixed-Time Adaptive Output Feedback Control of MIMO Nonlinear Systems
Deterministic Convergence for Learning Control Systems Over Iteration-Dependent Tracking Intervals
The Bayesian ARTMAP
From Clustering to Cluster Explanations via Neural Networks
New Approach for the Identification and Validation of a Nonlinear F/A-18 Model by Use of Neural Networks
Error-minimizing dead zone for basis function networks
Federated Generalized Face Presentation Attack Detection
A Comprehensive Look at Coding Techniques on Riemannian Manifolds
ICFS Clustering With Multiple Representatives for Large Data
Improving option pricing with the product constrained hybrid neural network
Performance Evaluation of Probabilistic Methods Based on Bootstrap and Quantile Regression to Quantify PV Power Point Forecast Uncertainty
Performance-Guaranteed Fault-Tolerant Control for Uncertain Nonlinear Systems via Learning-Based Switching Scheme
Estimating Counterfactual Treatment Outcomes Over Time in Complex Multiagent Scenarios
Holographic Graph Neuron: A Bioinspired Architecture for Pattern Processing
AutoVMDPgram: An Effective Method for Fault Diagnosis of Rolling Bearing
An Interval Type-2 Neural Fuzzy System for Online System Identification and Feature Elimination
Robust Dimension Reduction for Clustering With Local Adaptive Learning
Proximal Online Gradient Is Optimum for Dynamic Regret: A General Lower Bound
Flexible Cross-Modal Hashing
Quantum Neural Network-Based EEG Filtering for a Brain-Computer Interface
Attention-Based Neural Architecture Search for Person Re-Identification
Two regularizers for recursive least squared algorithms in feedforward multilayered neural networks
Assisting Training of Deep Spiking Neural Networks With Parameter Initialization
Emotion-Semantic-Aware Dual Contrastive Learning for Epistemic Emotion Identification of Learner-Generated Reviews in MOOCs
Design and Comprehensive Analysis of a Noise-Tolerant ZNN Model With Limited-Time Convergence for Time-Dependent Nonlinear Minimization
Weighted Hermite Variable Projection Networks for Classifying Visually Evoked Potentials
Descent Algorithms on Oblique Manifold for Source-Adaptive ICA Contrast
Reproducing Kernel Hilbert Spaces With Odd Kernels in Price Prediction