yusuke1997/dblp-id-title huggingface dataset:
Fault Detection in Mechanical Systems With Friction Phenomena: An Online Neural Approximation Approach
Modeling Disease Progression via Multisource Multitask Learners: A Case Study With Alzheimer's Disease
Multilevel Reliable Guidance for Unpaired Multiview Clustering
Finite-Time Synchronization of Complex-Valued Memristive-Based Neural Networks via Hybrid Control
Pattern Formation in a Reaction-Diffusion BAM Neural Network With Time Delay: (k 1 , k 2 ) Mode Hopf-Zero Bifurcation Case
Synchronous Image-Label Diffusion Probability Model With Application to Stroke Lesion Segmentation on Non-Contrast CT
Boosting through optimization of margin distributions
Bag of Events: An Efficient Probability-Based Feature Extraction Method for AER Image Sensors
Control of perturbed systems using neural networks
The time dimension for scene analysis
Gated Value Network for Multilabel Classification
Analog VLSI circuits as physical structures for perception in early visual tasks
A recurrent log-linearized Gaussian mixture network
Adaptive Synchronization for Delayed Chaotic Memristor-Based Neural Networks
3D-DFM: Anchor-Free Multimodal 3-D Object Detection With Dynamic Fusion Module for Autonomous Driving
Efficient Algorithm for Training Interpolation RBF Networks With Equally Spaced Nodes
Joint and Direct Optimization for Dictionary Learning in Convolutional Sparse Representation
Distribution-Independent Domain Generalization for Multisource Remote Sensing Classification
SOKS: Automatic Searching of the Optimal Kernel Shapes for Stripe-Wise Network Pruning
Event-Triggered Stabilization of Neural Networks With Time-Varying Switching Gains and Input Saturation
A fuzzy clustering neural networks (FCNs) system design methodology
Reliability-Guided Hierarchical Memory Network for Scribble-Supervised Video Object Segmentation
Learning Complementary Spatial-Temporal Transformer for Video Salient Object Detection
A "nonnegative PCA" algorithm for independent component analysis
RandomBoost: Simplified Multiclass Boosting Through Randomization
Online Deterministic Annealing for Classification and Clustering
Mixture Subclass Discriminant Analysis Link to Restricted Gaussian Model and Other Generalizations
Impulsive-Based Almost Surely Synchronization for Neural Network Systems Subject to Deception Attacks
Variational Attention-Based Interpretable Transformer Network for Rotary Machine Fault Diagnosis
Guest Editorial Special Issue on Temporal Coding for Neural Information Processing
SaFIN: A Self-Adaptive Fuzzy Inference Network
Functional approximation by feed-forward networks: a least-squares approach to generalization
Sparse Representations for Object- and Ego-Motion Estimations in Dynamic Scenes
Scalable Digital Neuromorphic Architecture for Large-Scale Biophysically Meaningful Neural Network With Multi-Compartment Neurons
Adaptive Neural Quantized Control of MIMO Nonlinear Systems Under Actuation Faults and Time-Varying Output Constraints
Transient Stability-Constrained Unit Commitment Using Input Convex Neural Network
A Bi-Projection Neural Network for Solving Constrained Quadratic Optimization Problems
Approach and applications of constrained ICA
Chance-Constrained H ∞ State Estimation for Recursive Neural Networks Under Deception Attacks and Energy Constraints: The Finite-Horizon Case
Robust DLPP With Nongreedy ℓ 1 -Norm Minimization and Maximization
A Hybrid CMOS-Memristive Approach to Designing Deep Generative Models
Convolutional Dynamically Convergent Differential Neural Network for Brain Signal Classification
Explainable Fault Diagnosis Using Invertible Neural Networks - A Left Manifold-Based Solution
An Accelerated Finite-Time Convergent Neural Network for Visual Servoing of a Flexible Surgical Endoscope With Physical and RCM Constraints
Deep Fuzzy Min-Max Neural Network: Analysis and Design
DA-PFL: Dynamic Affinity Aggregation in Personalized Federated Learning Under Class Imbalance
Adversarial Information Bottleneck
Supplement and Suppression: Both Boundary and Nonboundary Are Helpful for Salient Object Detection
Constructing Ensembles of Classifiers by Means of Weighted Instance Selection
Extension neural network-type 2 and its applications
(δ, ε)-K Segmentation for Characterizing Well-Clusterable Sets
Iterative Dynamic Generic Learning for Face Recognition From a Contaminated Single-Sample Per Person
Toward Learning Joint Inference Tasks for IASS-MTS Using Dual Attention Memory With Stochastic Generative Imputation
A neural-network method for the nonlinear servomechanism problem
An Adaptive Image Segmentation Network for Surface Defect Detection
Bayesian Cycle-Consistent Generative Adversarial Networks via Marginalizing Latent Sampling
Self-Supervised Lie Algebra Representation Learning via Optimal Canonical Metric
Distributed Projection Neurodynamic Approaches in Continuous and Discrete Time for BP With Block Decomposition of Measurement Matrix
Stability analysis for stochastic Cohen-Grossberg neural networks with mixed time delays
Robust Admittance Control of Optimized Robot-Environment Interaction Using Reference Adaptation
Noise-Shaping Gradient Descent-Based Online Adaptation Algorithms for Digital Calibration of Analog Circuits
μARTMAP: use of mutual information for category reduction in Fuzzy ARTMAP
Adaptive Robust Low-Rank 2-D Reconstruction With Steerable Sparsity
Interactive Feature Embedding for Infrared and Visible Image Fusion
Privacy-Preserving Cost-Sensitive Learning
Neural Network-Based Fixed-Time Tracking and Containment Control of Second-Order Heterogeneous Nonlinear Multiagent Systems
Target Tracking Control of a Biomimetic Underwater Vehicle Through Deep Reinforcement Learning
Simple Proof of Convergence of the SMO Algorithm for Different SVM Variants
Learning Discriminative Subspaces on Random Contrasts for Image Saliency Analysis
Deep Low-Shot Learning for Biological Image Classification and Visualization From Limited Training Samples
Highly Efficient Active Learning With Tracklet-Aware Co-Cooperative Annotators for Person Re-Identification
Integrated pulse stream neural networks: results, issues, and pointers
Dynamic overload control for distributed call processors using the neural network method
Two coding strategies for bidirectional associative memory
Image-Based Model Parameter Optimization Using Model-Assisted Generative Adversarial Networks
Blind source separation by nonstationarity of variance: a cumulant-based approach
A Parametric Classification Rule Based on the Exponentially Embedded Family
Control of a nonholonomic mobile robot using neural networks
Smooth function approximation using neural networks
Stability Analysis of Multiplicative Update Algorithms and Application to Nonnegative Matrix Factorization
Robust Sensory Information Reconstruction and Classification With Augmented Spikes
Feature extraction using constrained approximation and suppression
Information Losses in Neural Classifiers From Sampling
Analog Programmable Distance Calculation Circuit for Winner Takes All Neural Network Realized in the CMOS Technology
Tree2Vector: Learning a Vectorial Representation for Tree-Structured Data
Targeted Collapse Regularized Autoencoder for Anomaly Detection: Black Hole at the Center
Comments about "Analysis of the convergence properties of topology preserving neural networks"
Modeling of Agent Cognition in Extensive Games via Artificial Neural Networks
Nonnegative Blind Source Separation by Sparse Component Analysis Based on Determinant Measure
Repairs to GLVQ: a new family of competitive learning schemes
An analog VLSI chip emulating sustained and transient response channels of the vertebrate retina
Contrastive Registration for Unsupervised Medical Image Segmentation
Neural tree density estimation for novelty detection
Asynchronous Distributed Learning From Constraints
Adaptive Control of a Class of Nonaffine Systems Using Neural Networks
Extending the Morphological Hit-or-Miss Transform to Deep Neural Networks
Scalable Proximal Jacobian Iteration Method With Global Convergence Analysis for Nonconvex Unconstrained Composite Optimizations
Neural-network prediction with noisy predictors
Comparative Convolutional Dynamic Multi-Attention Recommendation Model
Fixed-Time Stabilization of Discontinuous Neutral Neural Networks With Proportional Delays via New Fixed-Time Stability Lemmas
Enhanced Logical Stochastic Resonance in Synthetic Genetic Networks
Bayesian Multitask Classification With Gaussian Process Priors
Attention-Based Deep Spiking Neural Networks for Temporal Credit Assignment Problems
Slimming Neural Networks Using Adaptive Connectivity Scores
Efficient Approximations for Matrix-Based Rényi's Entropy on Sequential Data
An evaluation of the neocognitron
A Privacy-Preserving Semisupervised Algorithm Under Maximum Correntropy Criterion
Exploring Self-Repair in a Coupled Spiking Astrocyte Neural Network
LS-SVR as a Bayesian RBF Network
CoSeg: Cognitively Inspired Unsupervised Generic Event Segmentation
Meta Learning Task Representation in Multiagent Reinforcement Learning: From Global Inference to Local Inference
Feudal Latent Space Exploration for Coordinated Multi-Agent Reinforcement Learning
Editorial: the IEEE transactions on neural networks 2010 and beyond
Decoupled and Explainable Associative Memory for Effective Knowledge Propagation
Resilient Optimal Defensive Strategy of TSK Fuzzy-Model-Based Microgrids' System via a Novel Reinforcement Learning Approach
Redefining Neural Architecture Search of Heterogeneous Multinetwork Models by Characterizing Variation Operators and Model Components
On Recursive Edit Distance Kernels With Application to Time Series Classification
Quad-Q-learning
Optimal Switching of DC-DC Power Converters Using Approximate Dynamic Programming
Unified Model Solving Nine Types of Time-Varying Problems in the Frame of Zeroing Neural Network
LMI-Based Approach for Global Asymptotic Stability Analysis of Recurrent Neural Networks with Various Delays and Structures
Hybrid Neural Prediction and Optimized Adjustment for Coke Oven Gas System in Steel Industry
A modified bidirectional decoding strategy based on the BAM structure
Augmentation-Free Graph Contrastive Learning of Invariant-Discriminative Representations
Adaptive Neural Control of MIMO Nonlinear Systems With a Block-Triangular Pure-Feedback Control Structure
Adaptive Neural Network Control for a Class of Fractional-Order Nonstrict-Feedback Nonlinear Systems With Full-State Constraints and Input Saturation
Complex-Valued B-Spline Neural Networks for Modeling and Inverting Hammerstein Systems
Existence, learning, and replication of periodic motions in recurrent neural networks
LipSound2: Self-Supervised Pre-Training for Lip-to-Speech Reconstruction and Lip Reading
Robust Facial Landmark Detection by Multiorder Multiconstraint Deep Networks
Fuzzy multi-layer perceptron, inferencing and rule generation
L1-Norm Distance Minimization-Based Fast Robust Twin Support Vector k-Plane Clustering
Decentralized Event-Triggered Adaptive Control of Discrete-Time Nonzero-Sum Games Over Wireless Sensor-Actuator Networks With Input Constraints
A Supervised Learning Algorithm for Learning Precise Timing of Multiple Spikes in Multilayer Spiking Neural Networks
A Neural Network Based on the Metric Projector for Solving SOCCVI Problem
MultiFair: Model Fairness With Multiple Sensitive Attributes
Cell-Coupled Long Short-Term Memory With L-Skip Fusion Mechanism for Mood Disorder Detection Through Elicited Audiovisual Features
DSFuse: A Dual-Diffusion Structure for Feature Fidelity Infrared and Visible Image Fusion
Kronecker CP Decomposition With Fast Multiplication for Compressing RNNs
MG-SIN: Multigraph Sparse Interaction Network for Multitask Stance Detection
Two New Zhang Neural Networks for Solving Time-Varying Linear Equations and Inequalities Systems
Multithreaded Asynchronous Deep Reinforcement Learning With Multisensor Fusion for Robot Collision Avoidance
Self-Tuning Control With a Filter and a Neural Compensator for a Class of Nonlinear Systems
Improved Stability Criterion for Recurrent Neural Networks With Time-Varying Delays
Oscillatory neural networks for robotic yo-yo control
Federated Scientific Machine Learning for Approximating Functions and Solving Differential Equations With Data Heterogeneity
Synthesis of fault-tolerant feedforward neural networks using minimax optimization
Online Solution of Two-Player Zero-Sum Games for Continuous-Time Nonlinear Systems With Completely Unknown Dynamics
Adaptive Channel Allocation for Robust Differentiable Architecture Search
Deep Adaptive Input Normalization for Time Series Forecasting
Exponential stability of globally projected dynamic systems
Coverage-Based Designs Improve Sample Mining and Hyperparameter Optimization
IncTSVD: Incremental Tensor Singular Value Decomposition of Multidimensional Streaming Data
A MOS circuit for a nonmonotonic neural network with excellent retrieval capabilities
Dynamics of Winner-Take-All Competition in Recurrent Neural Networks With Lateral Inhibition
Event-Triggered Practical Prescribed Time Output Feedback Neuroadaptive Tracking Control Under Saturated Actuation
Neural Architecture Selection as a Nash Equilibrium With Batch Entanglement
Multimodal Fusion Network for 3-D Lane Detection
A Robust Mean-Field Actor-Critic Reinforcement Learning Against Adversarial Perturbations on Agent States
Tuning the structure and parameters of a neural network by using hybrid Taguchi-genetic algorithm
Adaptive Neural Network-Based Event-Triggered Control of Single-Input Single-Output Nonlinear Discrete-Time Systems
AO-DETR: Anti-Overlapping DETR for X-Ray Prohibited Items Detection
Fast support vector data descriptions for novelty detection
Least Squares Solutions of the HJB Equation With Neural Network Value-Function Approximators
Exponential Synchronization of Coupled Switched Neural Networks With Mode-Dependent Impulsive Effects
Multiple network fusion using fuzzy logic
Computing Primitive of Fully VCSEL-Based All-Optical Spiking Neural Network for Supervised Learning and Pattern Classification
GMILT: A Novel Transformer Network That Can Noninvasively Predict EGFR Mutation Status
Adaptive Neural Network Tracking Control With Disturbance Attenuation for Multiple-Input Nonlinear Systems
Adversarial Human Trajectory Learning for Trip Recommendation
Composite Learning Control of Overactuated Manned Submersible Vehicle With Disturbance/Uncertainty and Measurement Noise
Boolean Factor Analysis by Attractor Neural Network
Adversarial Spatiotemporal Contrastive Learning for Electrocardiogram Signals
Delay-Dependent Global Exponential Stability for Delayed Recurrent Neural Networks
Multistep Prediction of Dynamic Systems With Recurrent Neural Networks
Max-Margin-Based Discriminative Feature Learning
Data storage channel equalization using neural networks
A Novel Recurrent Neural Network for Solving Nonlinear Optimization Problems With Inequality Constraints
SAB Net: A Semantic Attention Boosting Framework for Semantic Segmentation
Variance-Constrained Recursive State Estimation for Time-Varying Complex Networks With Quantized Measurements and Uncertain Inner Coupling
Early Expression Detection via Online Multi-Instance Learning With Nonlinear Extension
Adaptive Neural Network Control for Fixed-Wing UAV With Disturbance Observer Under Switching Disturbance
On the Complexity of Neural Network Classifiers: A Comparison Between Shallow and Deep Architectures
Adaptive Unknown Input Estimation by Sliding Modes and Differential Neural Network Observer
Stereopsis by constraint learning feed-forward neural networks
A new clustering technique for function approximation
Gradient Descent-Barzilai Borwein-Based Neural Network Tracking Control for Nonlinear Systems With Unknown Dynamics
Robust adaptive neural network control for a class of uncertain MIMO nonlinear systems with input nonlinearities
Robust Synchronization of an Array of Coupled Stochastic Discrete-Time Delayed Neural Networks
Stability and Stabilization in Probability of Probabilistic Boolean Networks
Multiplicative Update Rules for Concurrent Nonnegative Matrix Factorization and Maximum Margin Classification
Proportional-Integral Observer-Based State Estimation for Markov Memristive Neural Networks With Sensor Saturations
Optimal linear compression under unreliable representation and robust PCA neural models
Shunting at Arbitrary Feature Levels via Spatial Disentanglement: Toward Selective Image Translation
Deep CNN Feature Resampling and Ensemble Based on Cross Validation for Image Classification
Accelerated Canonical Polyadic Decomposition Using Mode Reduction
Cooperative updating in the Hopfield model
Direct adaptive control of partially known nonlinear systems
Multi-Atlas Segmentation of Anatomical Brain Structures Using Hierarchical Hypergraph Learning
Double Successive Over-Relaxation Q-Learning With an Extension to Deep Reinforcement Learning
Deep Hyperspectral Image Sharpening
Delayed Feedback Control for Stabilization of Boolean Control Networks With State Delay
Hierarchical Decision and Control for Continuous Multitarget Problem: Policy Evaluation With Action Delay
Learning Disentangled Graph Convolutional Networks Locally and Globally
A Hybrid Learning Method for System Identification and Optimal Control
Permitted and Forbidden Sets in Discrete-Time Linear Threshold Recurrent Neural Networks
Locating Target Regions for Image Retrieval in an Unsupervised Manner
Learning and Guaranteed Cost Control With Event-Based Adaptive Critic Implementation
Back propagation through adjoints for the identification of nonlinear dynamic systems using recurrent neural models
Conditional Generative Models for Simulation of EMG During Naturalistic Movements
Parallel algorithms for finding a near-maximum independent set of a circle graph
Toward Disentangled and Controllable Deep Metric Learning With Human-Like Concept Decomposition
Few-Shot Continual Learning via Flat-to-Wide Approaches
Power Law in Deep Neural Networks: Sparse Network Generation and Continual Learning With Preferential Attachment
Neural Adaptive Backstepping Control of a Robotic Manipulator With Prescribed Performance Constraint
Adaptive Individual Q-Learning - A Multiagent Reinforcement Learning Method for Coordination Optimization
Complete Stability of Delayed Recurrent Neural Networks With New Wave-Type Activation Functions
Neural Networks for Improved Tracking
Intelligent Time-Scale Operator-Splitting Integration for Chemical Reaction Systems
Probabilistic Linear Discriminant Analysis With Vectorial Representation for Tensor Data
Deep Learning for Low-Light Vision: A Comprehensive Survey
Holographic reduced representations
Hyperspectral and SAR Image Classification via Multiscale Interactive Fusion Network
Bogdanov-Takens Singularity in Tri-Neuron Network With Time Delay
Shared Autoencoder Gaussian Process Latent Variable Model for Visual Classification
On the sample complexity of learning for networks of spiking neurons with nonlinear synaptic interactions
Optimized Structure of the Traffic Flow Forecasting Model With a Deep Learning Approach
Heat Transfer-Inspired Network for Image Super-Resolution Reconstruction
Debiasing and Distributed Estimation for High-Dimensional Quantile Regression
Learning-Based Robust Tracking Control of Quadrotor With Time-Varying and Coupling Uncertainties
The Twist Tensor Nuclear Norm for Video Completion
Self-Supervised Temporal Graph Learning With Temporal and Structural Intensity Alignment
Multiobjective Evolutionary Learning for Multitask Quality Prediction Problems in Continuous Annealing Process
Online Density Estimation of Nonstationary Sources Using Exponential Family of Distributions
Time-delay neural networks: representation and induction of finite-state machines
Discriminant analysis for fast multiclass data classification through regularized kernel function approximation
Globally Localized Multisource Domain Adaptation for Cross-Domain Fault Diagnosis With Category Shift
Latent Feature Kernels for Link Prediction on Sparse Graphs
Sampling Efficient Deep Reinforcement Learning Through Preference-Guided Stochastic Exploration
Semi-Global Bipartite Fault-Tolerant Containment Control for Heterogeneous Multiagent Systems With Antagonistic Communication Networks and Input Saturation
Handwritten digit recognition by neural networks with single-layer training
Finite-Time Adaptive Neural Control for a Class of Nonlinear Systems With Asymmetric Time-Varying Full-State Constraints
Capacitated Clustering via Majorization-Minimization and Collaborative Neurodynamic Optimization
Representation Learning on Heterostructures via Heterogeneous Anonymous Walks
Safe Intermittent Reinforcement Learning With Static and Dynamic Event Generators
K-Relations-Based Consensus Clustering With Entropy-Norm Regularizers
Fractional Tensor Recurrent Unit (fTRU): A Stable Forecasting Model With Long Memory
Silicon retina with correlation-based, velocity-tuned pixels
Comments on "Stochastic choice of basis functions in adaptive function approximation and the functional-link net" [and reply]
CM-GAN: A Cross-Modal Generative Adversarial Network for Imputing Completely Missing Data in Digital Industry
Improving the Quality of Self-Organizing Maps by Self-Intersection Avoidance
Label Propagation via Teaching-to-Learn and Learning-to-Teach
Exponential Synchronization of Memristor-Based Competitive Neural Networks With Reaction- Diffusions and Infinite Distributed Delays
Game-Theoretic Constrained Policy Optimization for Safe Reinforcement Learning
Radial Graph Convolutional Network for Visual Question Generation
Training Hard-Margin Support Vector Machines Using Greedy Stagewise Algorithm
On the Equivalence of Linear Discriminant Analysis and Least Squares Regression
Periodic Event-Triggered Synchronization for Discrete-Time Complex Dynamical Networks
Semisupervised Text Classification by Variational Autoencoder
Estimation of elliptical basis function parameters by the EM algorithm with application to speaker verification
Parallel Multistage Wide Neural Network
Rain Streaks Removal for Single Image via Kernel-Guided Convolutional Neural Network
Scene Graph Generation With Hierarchical Context
Effects of Two-Channel Noise and Packet Loss on Performance of Information Time Delay Systems
Upper bounds on the number of hidden neurons in feedforward networks with arbitrary bounded nonlinear activation functions
AFSPrompt: An Axiomatic Fuzzy Set Prompt Pipeline for Knowledge-Based VQA
Active Client Selection for Clustered Federated Learning
Stability and Dissipativity Analysis of Distributed Delay Cellular Neural Networks
A network of dynamically coupled chaotic maps for scene segmentation
Stability analysis of Hopfield-type neural networks
The generalized LASSO
Weakly Supervised Object Detection via Object-Specific Pixel Gradient
Adaptive Hardness-Driven Augmentation and Alignment Strategies for Multisource Domain Adaptations
Multitask Learning for Visual Question Answering
Constrained Center Loss for Convolutional Neural Networks
Learnable Central Similarity Quantization for Efficient Image and Video Retrieval
A negentropy minimization approach to adaptive equalization for digital communication systems
Targeted-BEHRT: Deep Learning for Observational Causal Inference on Longitudinal Electronic Health Records
Mimic nets
Stabilization of Mode-Dependent Impulsive Hybrid Systems Driven by DFA With Mixed-Mode Effects
Scene Segmentation With Dual Relation-Aware Attention Network
Developmental Resonance Network
Bidirectional Spatial-Temporal Adaptive Transformer for Urban Traffic Flow Forecasting
A general projection neural network for solving monotone variational inequalities and related optimization problems
Novel Cost-Sensitive Approach to Improve the Multilayer Perceptron Performance on Imbalanced Data
Equivalence between local exponential stability of the unique equilibrium point and global stability for Hopfield-type neural networks with two neurons
A Novel Dual Successive Projection-Based Model-Free Adaptive Control Method and Application to an Autonomous Car
Exponential Signal Reconstruction With Deep Hankel Matrix Factorization
Nonergodic Complexity of Proximal Inertial Gradient Descents
Open-ICL: Open-Set Modulation Classification via Incremental Contrastive Learning
Prediction With Unpredictable Feature Evolution