yusuke1997/dblp-id-title huggingface dataset:
Design and Analysis of Multiscroll Memristive Hopfield Neural Network With Adjustable Memductance and Application to Image Encryption
A New Formulation for Feedforward Neural Networks
Noise Level Estimation for Model Selection in Kernel PCA Denoising
Model-Free Reinforcement Learning for Fully Cooperative Consensus Problem of Nonlinear Multiagent Systems
Gegenbauer Graph Neural Networks for Time-Varying Signal Reconstruction
H ∞ State Estimation for Neural Networks With General Activation Function and Mixed Time-Varying Delays
An iterative method for training multilayer networks with threshold functions
Design of a Neural Network Adaptive Controller via a Constrained Invariant Ellipsoids Technique
Q-Learning-Based Robust Control for Nonlinear Systems With Mismatched Perturbations
Hopfield neural network implementation of the optimal CDMA multiuser detector
Data-Driven Learning Control for Stochastic Nonlinear Systems: Multiple Communication Constraints and Limited Storage
Centroid Neural Network With a Divergence Measure for GPDF Data Clustering
Adaptive Neural Asymptotic Tracking of Uncertain Non-Strict Feedback Systems With Full-State Constraints via Command Filtered Technique
Analog implementation of pulse-coupled neural networks
Reinforced Two-Step-Ahead Weight Adjustment Technique for Online Training of Recurrent Neural Networks
Online Multi-View Learning With Knowledge Registration Units
Universal Approximation Abilities of a Modular Differentiable Neural Network
Temporal Output Discrepancy for Loss Estimation-Based Active Learning
High-Performance Reservoir Computing With Fluctuations in Linear Networks
Two-Stage Regularized Linear Discriminant Analysis for 2-D Data
FedTP: Federated Learning by Transformer Personalization
Admissible Delay Upper Bounds for Global Asymptotic Stability of Neural Networks With Time-Varying Delays
Deep Network With Irregular Convolutional Kernels and Self-Expressive Property for Classification of Hyperspectral Images
Open Set Domain Adaptation via Joint Alignment and Category Separation
MLPNN Training via a Multiobjective Optimization of Training Error and Stochastic Sensitivity
Multiple Kernel Clustering With Neighbor-Kernel Subspace Segmentation
Fuzzy basis functions, universal approximation, and orthogonal least-squares learning
Single-Channel Blind Separation Using Pseudo-Stereo Mixture and Complex 2-D Histogram
Convergent on-line algorithms for supervised learning in neural networks
Selection and Optimization of Temporal Spike Encoding Methods for Spiking Neural Networks
FedAUX: Leveraging Unlabeled Auxiliary Data in Federated Learning
Coupled Homogeneous Hopfield Neural Networks: Simplest Model Design, Synchronization, and Multiplierless Circuit Implementation
Robust Sensorimotor Representation to Physical Interaction Changes in Humanoid Motion Learning
A new criterion using information gain for action selection strategy in reinforcement learning
Fast triggering in high-energy physics experiments using hardware neural networks
Learning Rates of Regularized Regression With Multiple Gaussian Kernels for Multi-Task Learning
Class of Widely Linear Complex Kalman Filters
Lifelong Mixture of Variational Autoencoders
Evolution and development of neural controllers for locomotion, gradient-following, and obstacle-avoidance in artificial insects
Robust Unsupervised Deep Learning for Nonblind Image Deconvolution With Inaccurate Kernels
Evidential Deep Learning for Open-Set Active Domain Adaptation
Theta-modulated feedforward network generates rate and phase coded firing in the entorhino-hippocampal system
Parameter Selection for Linear Support Vector Regression
Surrogate-Assisted Particle Swarm Optimization for Evolving Variable-Length Transferable Blocks for Image Classification
Stock Trading Using RSPOP: A Novel Rough Set-Based Neuro-Fuzzy Approach
Robust and Communication-Efficient Federated Learning From Non-i.i.d. Data
A formal analysis of stopping criteria of decomposition methods for support vector machines
FADngs: Federated Learning for Anomaly Detection
LQR-Based Optimal Distributed Cooperative Design for Linear Discrete-Time Multiagent Systems
Highly Condensed All-MLP Architecture for Long-Term Human Motion Prediction
Learning Self-Growth Maps for Fast and Accurate Imbalanced Streaming Data Clustering
A self-learning call admission control scheme for CDMA cellular networks
A Fast Algorithm for Nonnegative Matrix Factorization and Its Convergence
Self-Organizing Interval Type-2 Fuzzy Neural Network Using Information Aggregation Method
Debiasing Graph Representation Learning Based on Information Bottleneck
Stability of fully asynchronous discrete-time discrete-state dynamic networks
A New Distance Metric for Unsupervised Learning of Categorical Data
A connectionist approach for rule-based inference using an improved relaxation method
Probabilistic Semi-Supervised Learning via Sparse Graph Structure Learning
Embedding Graph Auto-Encoder for Graph Clustering
On Optimal Learning With Random Features
Shrinkage Degree in L 2 -Rescale Boosting for Regression
Neural networks for routing of communication networks with unreliable components
Retinex Image Enhancement Based on Sequential Decomposition With a Plug-and-Play Framework
Towards Better Generalization of Deep Neural Networks via Non-Typicality Sampling Scheme
Adaptive Ho-Kashyap rules for perceptron training
Event-Triggered Neural Control of Nonlinear Systems With Rate-Dependent Hysteresis Input Based on a New Filter
Exploring and comparing the best "direct methods" for the efficient training of MLP-networks
Model-Free Optimal Tracking Control via Critic-Only Q-Learning
Super-Resolution Method for Face Recognition Using Nonlinear Mappings on Coherent Features
Hamiltonian Identification via Quantum Ensemble Classification
Event-Triggered Adaptive Containment Control for Heterogeneous Stochastic Nonlinear Multiagent Systems
Nonconvex Low-Rank Kernel Sparse Subspace Learning for Keyframe Extraction and Motion Segmentation
Approximate N -Player Nonzero-Sum Game Solution for an Uncertain Continuous Nonlinear System
RS-MAE: Region-State Masked Autoencoder for Neuropsychiatric Disorder Classifications Based on Resting-State fMRI
To Combat Multiclass Imbalanced Problems by Aggregating Evolutionary Hierarchical Classifiers
A Tensor-Based Online RPCA Model for Compressive Background Subtraction
Bayesian Learning for Spatial Filtering in an EEG-Based Brain-Computer Interface
A Novel Chaotic Neural Network With the Ability to Characterize Local Features and Its Application
A Wide-Deep-Sequence Model-Based Quality Prediction Method in Industrial Process Analysis
Closed-Loop Modulation of the Pathological Disorders of the Basal Ganglia Network
Shape-Constrained Sparse and Low-Rank Decomposition for Auroral Substorm Detection
Adaptive Fuzzy Neural Network Command Filtered Impedance Control of Constrained Robotic Manipulators With Disturbance Observer
Comments on "Convergence Analysis of Adaptive Exponential Functional Link Network"
Handwritten alphanumeric character recognition by the neocognitron
Linear and quadratic programming neural network analysis
Adaptive Fixed-Time Neural Control for Uncertain Nonlinear Multiagent Systems
The Hierarchical Fast Learning Artificial Neural Network (HieFLANN) - An Autonomous Platform for Hierarchical Neural Network Construction
Guest Editorial Special Issue on Complex- and Hypercomplex-Valued Neural Networks
RBF Networks Under the Concurrent Fault Situation
Neighborhood-Based Stopping Criterion for Contrastive Divergence
Adaptive Neural Quantized Control for a Class of MIMO Switched Nonlinear Systems With Asymmetric Actuator Dead-Zone
Model-Based Chance-Constrained Reinforcement Learning via Separated Proportional-Integral Lagrangian
Tensor-CSPNet: A Novel Geometric Deep Learning Framework for Motor Imagery Classification
Distributed State Estimation for Mixed Delays System Over Sensor Networks With Multichannel Random Attacks and Markov Switching Topology
Event-Sampled Output Feedback Control of Robot Manipulators Using Neural Networks
Off-Policy Interleaved $Q$ -Learning: Optimal Control for Affine Nonlinear Discrete-Time Systems
Adaptive Neural Control for a Class of Nonlinear Time-Varying Delay Systems With Unknown Hysteresis
Online Reinforcement Learning Control Designs With Acceleration Mechanism for Unknown Multiagent Systems Through Value Iteration
Training Deep Neural Network for Optimal Power Allocation in Islanded Microgrid Systems: A Distributed Learning-Based Approach
ReSmooth: Detecting and Utilizing OOD Samples When Training With Data Augmentation
A Survey on Federated Recommendation Systems
SRGC-Nets: Sparse Repeated Group Convolutional Neural Networks
Filter Sketch for Network Pruning
Constrained Quaternion-Variable Convex Optimization: A Quaternion-Valued Recurrent Neural Network Approach
Consensus-Based Cooperative Algorithms for Training Over Distributed Data Sets Using Stochastic Gradients
Painless Stochastic Conjugate Gradient for Large-Scale Machine Learning
Multilabel Convolutional Network With Feature Denoising and Details Supplement
Self-Organizing Maps [Book Reviews]
Multi-Agent Graph-Attention Deep Reinforcement Learning for Post-Contingency Grid Emergency Voltage Control
Enhanced Security and Privacy via Fragmented Federated Learning
An Inexact Sequential Quadratic Programming Method for Learning and Control of Recurrent Neural Networks
Approximate Orthogonal Sparse Embedding for Dimensionality Reduction
Brain-Inspired Experience Reinforcement Model for Bin Packing in Varying Environments
Infinite-dimensional multilayer perceptrons
Dynamical Behavior of Nonautonomous Stochastic Reaction-Diffusion Neural-Network Models
Rational Continuous Neural Network Identifier for Singular Perturbed Systems With Uncertain Dynamical Models
Adaptive acquisition and tracking for deep space array feed antennas
From Cluster Assumption to Graph Convolution: Graph-Based Semi-Supervised Learning Revisited
Multiclass Posterior Probability Support Vector Machines
Event-Based Adaptive NN Tracking Control of Nonlinear Discrete-Time Systems
Discriminative Graph Embedding for Label Propagation
Low-Rankness Guided Group Sparse Representation for Image Restoration
Reduced Pattern Training Based on Task Decomposition Using Pattern Distributor
Passivity of Directed and Undirected Complex Dynamical Networks With Adaptive Coupling Weights
Adversarial Algorithm Unrolling Network for Interpretable Mechanical Anomaly Detection
Using the Karhunen-Loe've transformation in the back-propagation training algorithm
Exact associative neural memory dynamics utilizing Boolean matrices
Support Vector Echo-State Machine for Chaotic Time-Series Prediction
Data-Efficient Off-Policy Learning for Distributed Optimal Tracking Control of HMAS With Unidentified Exosystem Dynamics
A Spatial-Channel-Temporal-Fused Attention for Spiking Neural Networks
Circular backpropagation networks for classification
A Fused CP Factorization Method for Incomplete Tensors
Taming Overconfident Prediction on Unlabeled Data From Hindsight
Trajectory Tracking on Uncertain Complex Networks via NN-Based Inverse Optimal Pinning Control
Implementations of artificial neural networks using current-mode pulse width modulation technique
Training Passive Photonic Reservoirs With Integrated Optical Readout
Nonbinary Associative Memory With Exponential Pattern Retrieval Capacity and Iterative Learning
Model Selection Criteria for Image Restoration
Genetic Algorithm-Based Sensor Allocation With Nonlinear Centralized Fusion Observable Degree
Classification of Imbalanced Data by Oversampling in Kernel Space of Support Vector Machines
Learning to Synthesize Compatible Fashion Items Using Semantic Alignment and Collocation Classification: An Outfit Generation Framework
Feature Encoding With Autoencoders for Weakly Supervised Anomaly Detection
Optimization of a Multilayer Neural Network by Using Minimal Redundancy Maximal Relevance-Partial Mutual Information Clustering With Least Square Regression
Controllability and Observability of Boolean Control Networks With Time-Variant Delays in States
Quasi-Synchronization of Discrete-Time-Delayed Heterogeneous-Coupled Neural Networks via Hybrid Impulsive Control
Privacy-Preserving Distributed ADMM With Event-Triggered Communication
Secure Communication Based on Quantized Synchronization of Chaotic Neural Networks Under an Event-Triggered Strategy
Large-Scale Meta-Heuristic Feature Selection Based on BPSO Assisted Rough Hypercuboid Approach
Diminishing Batch Normalization
Sparse Simultaneous Recurrent Deep Learning for Robust Facial Expression Recognition
Programming based learning algorithms of neural networks with self-feedback connections
Graph-Structure-Based Multigranular Belief Fusion for Human Activity Recognition
Local Synchronization of Directed Lur'e Networks With Coupling Delay via Distributed Impulsive Control Subject to Actuator Saturation
A two-phase optimization neural network
Hierarchical Semantic Graph Reasoning for Train Component Detection
Federated Aggregation With Interlayer Personalized Contribution: Preference-Based Optimization Between Performance and Privacy
Variational Bayes Ensemble Learning Neural Networks With Compressed Feature Space
Improving Visual Saliency Computing With Emotion Intensity
Programmable impulse neural circuits
Adaptive Bipartite Event-Triggered Time-Varying Output Formation Tracking of Heterogeneous Linear Multi-Agent Systems Under Signed Directed Graph
Distributed Parallel Support Vector Machines in Strongly Connected Networks
Estimation of speech embedded in a reverberant and noisy environment by independent component analysis and wavelets
Boosting Weak-to-Strong Agents in Multiagent Reinforcement Learning via Balanced PPO
Enhanced Deep Blind Hyperspectral Image Fusion
Pixel clustering by adaptive pixel moving and chaotic synchronization
Generalized Cross-Domain Industrial Process Monitoring via Adaptive Discriminative Transfer Dictionary Pair Learning With Attribute Embedding
TGIN: Translation-Based Graph Inference Network for Few-Shot Relational Triplet Extraction
Frameless Graph Knowledge Distillation
Differential Neural Network Identifier for Dynamical Systems With Time-Varying State Constraints
Optimal Power Management Based on Q-Learning and Neuro-Dynamic Programming for Plug-in Hybrid Electric Vehicles
Masked Autoencoder for Distribution Estimation on Small Structured Data Sets
Sliding Mode Stabilization of Memristive Neural Networks With Leakage Delays and Control Disturbance
Detecting Adversarial Examples by Input Transformations, Defense Perturbations, and Voting
Hierarchical AttentionShift for Pointly Supervised Instance Segmentation
Mutual-Collision-Avoidance Scheme Synthesized by Neural Networks for Dual Redundant Robot Manipulators Executing Cooperative Tasks
Neural Network Layer Algebra: A Framework to Measure Capacity and Compression in Deep Learning
Quaternion Factorization Machines: A Lightweight Solution to Intricate Feature Interaction Modeling
Complexity Explained (Erdi, P.; 2008) [Book review]
Hopfield neural networks for affine invariant matching
Stochastic Learning via Optimizing the Variational Inequalities
Overcoming Data Deficiency for Multi-Person Pose Estimation
Evolving Memristive Reservoir
Reformulated radial basis neural networks trained by gradient descent
Online Learning Control Using Adaptive Critic Designs With Sparse Kernel Machines
Semisupervised Learning Based on a Novel Iterative Optimization Model for Saliency Detection
A Continuous Remaining Useful Life Prediction Method With Multistage Attention Convolutional Neural Network and Knowledge Weight Constraint
A Real-Time Grasping Detection Network Architecture for Various Grasping Scenarios
Retargeted Least Squares Regression Algorithm
A Novel Graph-Based Trajectory Predictor With Pseudo-Oracle
Performance Improvement of Active Suspension Constrained System via Neural Network Identification
A contrast function for independent component analysis without permutation ambiguity
A unified framework for chaotic neural-network approaches to combinatorial optimization
Neural Network Output Optimization Using Interval Analysis
A Lightweight Pixel-Level Unified Image Fusion Network
Extracting Representative Information to Enhance Flexible Data Queries
Data-Driven Designs of Fault Detection Systems via Neural Network-Aided Learning
Neural-Network-Based Approximate Output Regulation of Discrete-Time Nonlinear Systems
Exploring Feature Representation Learning for Semi-Supervised Medical Image Segmentation
A fast algorithm for robust mixtures in the presence of measurement errors
UCFTS: A Unilateral Coupling Finite-Time Synchronization Scheme for Complex Networks
Value-Based Subgoal Discovery and Path Planning for Reaching Long-Horizon Goals
Adaptive Identifier for Uncertain Complex Nonlinear Systems Based on Continuous Neural Networks
Matrix-Regularized Multiple Kernel Learning via (r, ~p) Norms
UV-activated conductances allow for multiple time scale learning
Gain-Scheduled Finite-Time Synchronization for Reaction-Diffusion Memristive Neural Networks Subject to Inconsistent Markov Chains
Encoder-Decoder Full Residual Deep Networks for Robust Regression and Spatiotemporal Estimation
Random Orthogonal Additive Filters: A Solution to the Vanishing/Exploding Gradient of Deep Neural Networks
Toward Automatic Time-Series Forecasting Using Neural Networks
Deep Learning for Multigrade Brain Tumor Classification in Smart Healthcare Systems: A Prospective Survey
CRL: Collaborative Representation Learning by Coordinating Topic Modeling and Network Embeddings
Convolutional Sparse Support Estimator Network (CSEN): From Energy-Efficient Support Estimation to Learning-Aided Compressive Sensing
Sparse Tensor Discriminant Color Space for Face Verification
Density-based clustering with topographic maps
Multiclass Support Vector Machines With Example-Dependent Costs Applied to Plankton Biomass Estimation
Positive-Incentive Noise
VASE: Variational Assorted Surprise Exploration for Reinforcement Learning
Multiview Privileged Support Vector Machines
Fast and Accurate Hierarchical Clustering Based on Growing Multilayer Topology Training
Efficient Recovery of Low-Rank Matrix via Double Nonconvex Nonsmooth Rank Minimization
A new information processing measure for adaptive complex systems
Fast and Reliable Score-Based Generative Model for Parallel MRI
Stability of Analytic Neural Networks With Event-Triggered Synaptic Feedbacks
CiRLExplainer: Causality-Inspired Explainer for Graph Neural Networks via Reinforcement Learning
Bi-Stream Pose-Guided Region Ensemble Network for Fingertip Localization From Stereo Images
Very Sparse LSSVM Reductions for Large-Scale Data
DSIL-DDI: A Domain-Invariant Substructure Interaction Learning for Generalizable Drug-Drug Interaction Prediction
6-D Object Pose Estimation Based on Point Pair Matching for Robotic Grasp Detection
Distributed Adaptive Finite-Time Approach for Formation-Containment Control of Networked Nonlinear Systems Under Directed Topology
Improved Results on Fixed-/Preassigned-Time Synchronization for Memristive Complex-Valued Neural Networks
Dissipativity and Synchronization of Generalized BAM Neural Networks With Multivariate Discontinuous Activations
Optimal Formation of Multirobot Systems Based on a Recurrent Neural Network
Orthogonal Inductive Matrix Completion
Dynamical Behavior of Delayed Reaction-Diffusion Hopfield Neural Networks Driven by Infinite Dimensional Wiener Processes
A simple neuron servo
Axially Symmetric Data Clustering Through Dirichlet Process Mixture Models of Watson Distributions
Six-DOF Spacecraft Optimal Trajectory Planning and Real-Time Attitude Control: A Deep Neural Network-Based Approach
Discrete-Time Zhang Neural Network for Online Time-Varying Nonlinear Optimization With Application to Manipulator Motion Generation
Log-Sum-Exp Neural Networks and Posynomial Models for Convex and Log-Log-Convex Data
Theoretical Model for Mesoscopic-Level Scale-Free Self-Organization of Functional Brain Networks
StaRS: Learning a Stable Representation Space for Continual Relation Classification
Task Assignment for Multivehicle Systems Based on Collaborative Neurodynamic Optimization
Enhanced MLP performance and fault tolerance resulting from synaptic weight noise during training
Data Imputation Through the Identification of Local Anomalies
Fair Energy Scheduling for Vehicle-to-Grid Networks Using Adaptive Dynamic Programming
A neural network learning for adaptively extracting cross-correlation features between two high-dimensional data streams
Normalization and Solvability of Dynamic-Algebraic Boolean Networks
An Adaptive Deep Belief Network With Sparse Restricted Boltzmann Machines
A3C-GS: Adaptive Moment Gradient Sharing With Locks for Asynchronous Actor-Critic Agents
Convolutional Neural Network-Based Lane-Change Strategy via Motion Image Representation for Automated and Connected Vehicles
Robust Multitask Multiview Tracking in Videos
Lifelong-MonoDepth: Lifelong Learning for Multidomain Monocular Metric Depth Estimation
Self-Organizing Nebulous Growths for Robust and Incremental Data Visualization
SWAT: A Spiking Neural Network Training Algorithm for Classification Problems
Foley-Sammon optimal discriminant vectors using kernel approach
Joint Optimization for Pairwise Constraint Propagation
Markov and Semi-Markov Switching of Source Appearances for Nonstationary Independent Component Analysis
Semiglobal Consensus of a Class of Heterogeneous Multi-Agent Systems With Saturation
Fusion of Centroid-Based Clustering With Graph Clustering: An Expectation-Maximization-Based Hybrid Clustering
Learning in the multiple class random neural network
Point-DAE: Denoising Autoencoders for Self-Supervised Point Cloud Learning
Disturbance rejection in nonlinear systems using neural networks
Generalized Core Vector Machines
A New Grey Wolf Optimizer Tuned Extended Generalized Predictive Control for Distillation Process
Wavelet networks
Batch Mode Active Learning for Regression With Expected Model Change
Optimal Control of Nonlinear Continuous-Time Systems in Strict-Feedback Form
Asynchronous Dissipative State Estimation for Stochastic Complex Networks With Quantized Jumping Coupling and Uncertain Measurements
HRLSim: A High Performance Spiking Neural Network Simulator for GPGPU Clusters
A Survey on Reinforcement Learning for Recommender Systems
FDDH: Fast Discriminative Discrete Hashing for Large-Scale Cross-Modal Retrieval
Synchrony in Silicon: The Gamma Rhythm
Estimating optimal feature subsets using efficient estimation of high-dimensional mutual information
Convergence analysis of a discrete-time recurrent neural network to perform quadratic real optimization with bound constraints
Anomaly Detection With Bidirectional Consistency in Videos
Data-Knowledge-Driven Self-Organizing Fuzzy Neural Network
Optimal Convergence for Agnostic Kernel Learning With Random Features
A Shadow Imaging Bilinear Model and Three-Branch Residual Network for Shadow Removal
Analysis and design of primal-dual assignment networks
Mapping and hierarchical self-organizing neural networks for VLSI placement
Glove-TalkII-a neural-network interface which maps gestures to parallel formant speech synthesizer controls
Learning From Box Annotations for Referring Image Segmentation
Marginal Subspace Learning With Group Low-Rank for Unsupervised Domain Adaptation
Neural Network-Based Passive Filtering for Delayed Neutral-Type Semi-Markovian Jump Systems
Analyzing the Scaling of Connectivity in Neuromorphic Hardware and in Models of Neural Networks
Visual Recognition by Learning From Web Data via Weakly Supervised Domain Generalization
Local estimation of posterior class probabilities to minimize classification errors
Impulsive Multiconsensus of Second-Order Multiagent Networks Using Sampled Position Data
Decentralized Adaptive Optimal Tracking Control for Massive Autonomous Vehicle Systems With Heterogeneous Dynamics: A Stackelberg Game
Nonlinear measures: a new approach to exponential stability analysis for Hopfield-type neural networks
Passivity and Finite-Time Passivity for Multi-Weighted Fractional-Order Complex Networks With Fixed and Adaptive Couplings
Back pressure based multicast scheduling for fair bandwidth allocation
Kernel Component Analysis Using an Epsilon-Insensitive Robust Loss Function