yusuke1997/dblp-id-title huggingface dataset:
Two efficient connectionist schemes for structure preserving dimensionality reduction
Neural Network Learning and Robust Stabilization of Nonlinear Systems With Dynamic Uncertainties
Using Directional Fibers to Locate Fixed Points of Recurrent Neural Networks
Analysis on the Number of Linear Regions of Piecewise Linear Neural Networks
A Quadratically Constrained MAP Classifier Using the Mixture of Gaussians Models as a Weight Function
Dynamics and the single spike
Multi-illuminant color reproduction for electronic cameras via CANFIS neuro-fuzzy modular network device characterization
Adaptive Neural Network Prescribed Performance Bounded- $H_{\infty}$ Tracking Control for a Class of Stochastic Nonlinear Systems
On the dynamical modeling with neural fuzzy networks
Dealing With Concept Drifts in Process Mining
Multimodal Batch-Wise Change Detection
Improving Tracking Accuracy for Repetitive Learning Systems by High-Order Extended State Observers
Observer-Based Neuro-Adaptive Optimized Control of Strict-Feedback Nonlinear Systems With State Constraints
MART: a multichannel ART-based neural network
Generating Semantic Adversarial Examples via Feature Manipulation in Latent Space
Multicriteria Similarity-Based Anomaly Detection Using Pareto Depth Analysis
Enhancing Weak Signal Transmission Through a Feedforward Network
A discrete dynamics model for synchronization of pulse-coupled oscillators
An argument for abandoning the travelling salesman problem as a neural-network benchmark
Graph Characterization via Ihara Coefficients
Consistent Arbitrary Style Transfer Using Consistency Training and Self-Attention Module
Modified Gram-Schmidt Method-Based Variable Projection Algorithm for Separable Nonlinear Models
Statistical active learning in multilayer perceptrons
Synchronization Criteria for Discontinuous Neural Networks With Mixed Delays via Functional Differential Inclusions
Solving Scalable Multiagent Routing Problems With Reinforcement Learning
Data-Based Hybrid Tension Estimation and Fault Diagnosis of Cold Rolling Continuous Annealing Processes
Landmine detection and classification with complex-valued hybrid neural network using scattering parameters dataset
Neuro-fuzzy chip to handle complex tasks with analog performance
Pose Error Prediction, Compensation Method, and Applicable Condition Determination of Parallel Motion Platform Based on Transfer Learning
Local routing algorithms based on Potts neural networks
Editorial Deep Learning for Anomaly Detection
Fast Yet Effective Machine Unlearning
RBF multiuser detector with channel estimation capability in a synchronous MC-CDMA system
Nonfragile Dissipative Synchronization for Markovian Memristive Neural Networks: A Gain-Scheduled Control Scheme
A self-organizing neural tree for large-set pattern classification
Why ResNet Works? Residuals Generalize
Marginalized Augmented Few-Shot Domain Adaptation
ReCNAS: Resource-Constrained Neural Architecture Search Based on Differentiable Annealing and Dynamic Pruning
Joint Estimation of Multiple Conditional Gaussian Graphical Models
TryonCM2: Try-on-Enhanced Fashion Compatibility Modeling Framework
Stability and Hopf Bifurcation in a Simplified BAM Neural Network With Two Time Delays
Personalized Federated Graph Learning on Non-IID Electronic Health Records
High speed paper currency recognition by neural networks
Industrial Data Imputation Based on Multiscale Spatiotemporal Information Embedding With Asymmetrical Transformer
Fault-Tolerant Adaptive Learning Control for Quadrotor UAVs With the Time-Varying CoG and Full-State Constraints
GRACE: Unveiling Gene Regulatory Networks With Causal Mechanistic Graph Neural Networks in Single-Cell RNA-Sequencing Data
Weakening the Dominant Role of Text: CMOSI Dataset and Multimodal Semantic Enhancement Network
Category-Based Deep CCA for Fine-Grained Venue Discovery From Multimodal Data
Discriminative Feature Extraction by a Neural Implementation of Canonical Correlation Analysis
TDSF-Net: Tensor Decomposition-Based Subspace Fusion Network for Multimodal Medical Image Classification
Imbalanced Data Classification via Cooperative Interaction Between Classifier and Generator
Boundary-Eliminated Pseudoinverse Linear Discriminant for Imbalanced Problems
A Further Study on Mining DNA Motifs Using Fuzzy Self-Organizing Maps
Qualitative analysis of the parallel and asynchronous modes of the Hamming network
Online Adaptive Optimal Control Algorithm Based on Weighted Policy Iteration
Adaptive Neural Output-Feedback Decentralized Control for Large-Scale Nonlinear Systems With Stochastic Disturbances
Progressive Training for Learning From Label Proportions
Drone's Objective Inference Using Policy Error Inverse Reinforcement Learning
Variational Inference for 3-D Localization and Tracking of Multiple Targets Using Multiple Cameras
QoS Differential Scheduling in Cognitive-Radio-Based Smart Grid Networks: An Adaptive Dynamic Programming Approach
Not All Instances Contribute Equally: Instance-Adaptive Class Representation Learning for Few-Shot Visual Recognition
Adaptive Iterative Learning Control for a Class of Nonlinear Strict-Feedback Systems With Unknown State Delays
A knowledge-base generating hierarchical fuzzy-neural controller
MGCNRF: Prediction of Disease-Related miRNAs Based on Multiple Graph Convolutional Networks and Random Forest
Event-Based Intermittent Formation Control of Multi-UAV Systems Under Deception Attacks
Neural-Network-Based Recursive State Estimation for Nonlinear Networked Systems With Binary-Encoding Mechanisms
Improper Complex-Valued Bhattacharyya Distance
Reinforcement Learning-Based Adaptive Optimal Control for Nonlinear Systems With Asymmetric Hysteresis
Dynamics analysis and analog associative memory of networks with LT neurons
Altruistic Collaborative Learning
Learning Multi-Agent Cooperation via Considering Actions of Teammates
Deep Learning of Partially Labeled Data for Quality Prediction Based on Stacked Target-Related Laplacian Autoencoder
Fuzzy ARTMAP: A neural network architecture for incremental supervised learning of analog multidimensional maps
Learning capability assessment and feature space optimization for higher-order neural networks
Leveraging Unsupervised Data and Domain Adaptation for Deep Regression in Low-Cost Sensor Calibration
Pairwise Two-Stream ConvNets for Cross-Domain Action Recognition With Small Data
Convergence Analyses on On-Line Weight Noise Injection-Based Training Algorithms for MLPs
Approximate Dynamic Programming: Combining Regional and Local State Following Approximations
Branch-Tuning: Balancing Stability and Plasticity for Continual Self-Supervised Learning
Using Taguchi's method of experimental design to control errors in layered perceptrons
Fully Decentralized Multiagent Communication via Causal Inference
AdaptiveClick: Click-Aware Transformer With Adaptive Focal Loss for Interactive Image Segmentation
On the Guaranteed Almost Equivalence Between Imitation Learning From Observation and Demonstration
Attribute-Guided Network for Cross-Modal Zero-Shot Hashing
RefConv: Reparameterized Refocusing Convolution for Powerful ConvNets
Accuracy Versus Simplification in an Approximate Logic Neural Model
Discrete Neural Computation: A Theoretical Foundation [Book Review]
High-Precision Dichotomous Image Segmentation With Frequency and Scale Awareness
Kernel Classifier Construction Using Orthogonal Forward Selection and Boosting With Fisher Ratio Class Separability Measure
Synaptic Weight Evolution and Charge Trapping Mechanisms in a Synaptic Pass-Transistor Operation With a Direct Potential Output
Robust Exemplar Extraction Using Structured Sparse Coding
Diagonal Recurrent Neural Network-Based Hysteresis Modeling
Convergence Conditions for Solving Robust Iterative Learning Control Problems Under Nonrepetitive Model Uncertainties
Generalization and PAC learning: some new results for the class of generalized single-layer networks
Weak Human Preference Supervision for Deep Reinforcement Learning
Automatic Face Naming by Learning Discriminative Affinity Matrices From Weakly Labeled Images
A neural network of smooth hinge functions
A UHD Aerial Photograph Categorization System by Learning a Noise-Tolerant Topology Kernel
Identifying a Probabilistic Boolean Threshold Network From Samples
Synchronization and State Estimation of a Class of Hierarchical Hybrid Neural Networks With Time-Varying Delays
A Diversity Framework for Dealing With Multiple Types of Concept Drift Based on Clustering in the Model Space
GNN Model for Time-Varying Matrix Inversion With Robust Finite-Time Convergence
Constrained-Cost Adaptive Dynamic Programming for Optimal Control of Discrete-Time Nonlinear Systems
Learning of a Decision-Maker's Preference Zone With an Evolutionary Approach
Exclusive Sparsity Norm Minimization With Random Groups via Cone Projection
Cognition-Oriented Multiagent Reinforcement Learning
Multiple-Model Adaptive Estimation for 3-D and 4-D Signals: A Widely Linear Quaternion Approach
Guest Editorial Special Issue on Learning Theories and Methods With Application to Digitized Process Manufacturing
An Asynchronous Recurrent Network of Cellular Automaton-Based Neurons and Its Reproduction of Spiking Neural Network Activities
Extended Invariant Risk Minimization for Machine Fault Diagnosis With Label Noise and Data Shift
Incremental Linear Discriminant Analysis: A Fast Algorithm and Comparisons
A gradual neural-network approach for frequency assignment in satellite communication systems
Dynamic Self-Organizing Neurons
Recursive least-squares backpropagation algorithm for stop-and-go decision-directed blind equalization
Collaborative Random Faces-Guided Encoders for Pose-Invariant Face Representation Learning
Instance Weighted Incremental Evolution Strategies for Reinforcement Learning in Dynamic Environments
A constructive algorithm for training cooperative neural network ensembles
Regularization networks: fast weight calculation via Kalman filtering
CoNoT: Coupled Nonlinear Transform-Based Low-Rank Tensor Representation for Multidimensional Image Completion
Limit Cycle of a Single-Neuron System With Smooth Continuous and Binary-Value Activation Functions and Its Circuitry Design
Comments on "Efficient and Robust Feature Extraction by Maximum Margin Criterion"
Discriminative components of data
SSTF-Unet: Spatial-Spectral Transformer-Based U-Net for High-Resolution Hyperspectral Image Acquisition
Event-Based Adaptive NN Fixed-Time Cooperative Formation for Multiagent Systems
Generalized deterministic annealing
Dual-Graph Global and Local Concept Factorization for Data Clustering
Toward On-Device Federated Learning: A Direct Acyclic Graph-Based Blockchain Approach
Self-Organizing MultiLayer Perceptron
MGRC: An End-to-End Multigranularity Reading Comprehension Model for Question Answering
Comments on "Principal component extraction using recursive least squares learning"
Finite-Time State Estimation for Coupled Markovian Neural Networks With Sensor Nonlinearities
State-space analysis of Boolean networks
Self-Adaptive Graph With Nonlocal Attention Network for Skeleton-Based Action Recognition
Neural-network hybrid control for antilock braking systems
Consensus Seeking in Large-Scale Multiagent Systems With Hierarchical Switching-Backbone Topology
Quantization via Distillation and Contrastive Learning
Direct Adaptive Preassigned Finite-Time Control With Time-Delay and Quantized Input Using Neural Network
Spiking Neural Network Model of Sound Localization Using the Interaural Intensity Difference
Combined genetic algorithm optimization and regularized orthogonal least squares learning for radial basis function networks
Adaptive Consensus Control for a Class of Nonlinear Multiagent Time-Delay Systems Using Neural Networks
Fixed-Time Stability of Nonlinear Impulsive Systems and its Application to Inertial Neural Networks
Synchronization Design of Boolean Networks Via the Semi-Tensor Product Method
Noah: Reinforcement-Learning-Based Rate Limiter for Microservices in Large-Scale E-Commerce Services
Hybrid Fuzzy Wavelet Neural Networks Architecture Based on Polynomial Neural Networks and Fuzzy Set/Relation Inference-Based Wavelet Neurons
Policy Iteration Algorithm for Optimal Control of Stochastic Logical Dynamical Systems
Equilibria and Their Bifurcations in a Recurrent Neural Network Involving Iterates of a Transcendental Function
SDN: Semantic Decoupling Network for Temporal Language Grounding
KGSNet: Key-Point-Guided Super-Resolution Network for Pedestrian Detection in the Wild
Stability properties of labeling recursive auto-associative memory
A Multitask Latent Feature Augmentation Method for Few-Shot Learning
Dynamic Subcluster-Aware Network for Few-Shot Skin Disease Classification
Mimicking the Brain's Cognition of Sarcasm From Multidisciplines for Twitter Sarcasm Detection
Growth and Success - Looking Forward to 2018 and Beyond
Symmetric RBF Classifier for Nonlinear Detection in Multiple-Antenna-Aided Systems
Regularized Class-Specific Subspace Classifier
Collaborative and Multilevel Feature Selection Network for Action Recognition
Recurrent correlation associative memories
Two-Level Complex-Valued Hopfield Neural Networks
HierSpeech++: Bridging the Gap Between Semantic and Acoustic Representation of Speech by Hierarchical Variational Inference for Zero-Shot Speech Synthesis
MVCNet: Multiview Contrastive Network for Unsupervised Representation Learning for 3-D CT Lesions
The Hierarchical Continuous Pursuit Learning Automation: A Novel Scheme for Environments With Large Numbers of Actions
A Novel Sequence-to-Sequence-Based Deep Learning Model for Multistep Load Forecasting
SMGEA: A New Ensemble Adversarial Attack Powered by Long-Term Gradient Memories
A polynomial network for predicting temperature distributions
Multiview Deep Learning-Based Molecule Design and Structural Optimization Accelerates Inhibitor Discover
Batch-Based Learning Consensus of Multiagent Systems With Faded Neighborhood Information
LMFFNet: A Well-Balanced Lightweight Network for Fast and Accurate Semantic Segmentation
Rich Embedding Features for One-Shot Semantic Segmentation
Global Exponential Stability for Complex-Valued Recurrent Neural Networks With Asynchronous Time Delays
Pinning Stabilization of Linearly Coupled Stochastic Neural Networks via Minimum Number of Controllers
Online Learning With Adaptive Rebalancing in Nonstationary Environments
Adaptive Deep Modeling of Users and Items Using Side Information for Recommendation
A Regularizer Approach for RBF Networks Under the Concurrent Weight Failure Situation
Monostability and Multistability for Almost-Periodic Solutions of Fractional-Order Neural Networks With Unsaturating Piecewise Linear Activation Functions
BP-SGCN: Behavioral Pseudo-Label Informed Sparse Graph Convolution Network for Pedestrian and Heterogeneous Trajectory Prediction
TrustGNN: Graph Neural Network-Based Trust Evaluation via Learnable Propagative and Composable Nature
Penalizing the Hard Example But Not Too Much: A Strong Baseline for Fine-Grained Visual Classification
Online Identification of Nonlinear Spatiotemporal Systems Using Kernel Learning Approach
Support Matrix Machine via Joint ℓ 2,1 and Nuclear Norm Minimization Under Matrix Completion Framework for Classification of Corrupted Data
Growing a hypercubical output space in a self-organizing feature map
Cross-Modality Feature Learning Through Generic Hierarchical Hyperlingual-Words
On stability of recurrent neural networks-an approach from volterra integro-differential equations
ADMM-Based Algorithm for Training Fault Tolerant RBF Networks and Selecting Centers
Self-organizing maps, vector quantization, and mixture modeling
Estimator-Based Reinforcement Learning Consensus Control for Multiagent Systems With Discontinuous Constraints
A Robust Initialization of Residual Blocks for Effective ResNet Training Without Batch Normalization
A communication architecture tailored for analog VLSI artificial neural networks: intrinsic performance and limitations
Unpaired Artistic Portrait Style Transfer via Asymmetric Double-Stream GAN
A Spiking Neural Simulator Integrating Event-Driven and Time-Driven Computation Schemes Using Parallel CPU-GPU Co-Processing: A Case Study
A flexible coefficient smooth transition time series model
Efficient l 1 -Norm-Based Low-Rank Matrix Approximations for Large-Scale Problems Using Alternating Rectified Gradient Method
Real-Time Indoor Localization for Smartphones Using Tensor-Generative Adversarial Nets
Generative Kernels for Tree-Structured Data
Dynamic Event-Triggered Formation Control for Heterogeneous Multiagent Systems With Nonautonomous Leader Agent
Memory-efficient fully coupled filtering approach for observational model building
Riemannian-Gradient-Based Learning on the Complex Matrix-Hypersphere
End-to-End Dialogue Generation Using a Single Encoder and a Decoder Cascade With a Multidimension Attention Mechanism
Generating Simple Cyclic Memristive Neural Network Circuit With Controllable Multiscroll Attractors and Multivariable Amplitude Control
Multiview Classification Through Learning From Interval-Valued Data
A Second-Order Projected Primal-Dual Dynamical System for Distributed Optimization and Learning
Incremental learning of complex temporal patterns
Distributed Controller Design and Analysis of Second-Order Signed Networks With Communication Delays
The use of neural nets to combine equalization with decoding for severe intersymbol interference channels
Dissipativity Analysis for Stochastic Memristive Neural Networks With Time-Varying Delays: A Discrete-Time Case
Uncertainty-Adjusted Recommendation via Matrix Factorization With Weighted Losses
A Deep Quality Monitoring Network for Quality-Related Incipient Faults
Fraction Dynamic-Surface-Based Neuroadaptive Finite-Time Containment Control of Multiagent Systems in Nonaffine Pure-Feedback Form
Generalization Bounds of ERM-Based Learning Processes for Continuous-Time Markov Chains
Stable adaptive neurocontrol for nonlinear discrete-time systems
Memory-Augmented Generative Adversarial Networks for Anomaly Detection
Observer-Based Fixed-Time Neural Control for a Class of Nonlinear Systems
Analog optimization with Wong's stochastic neural network
Regularized Label Relaxation Linear Regression
Learning and Representing Object Shape Through an Array of Orientation Columns
Fourier Domain Robust Denoising Decomposition and Adaptive Patch MRI Reconstruction
A new synaptic plasticity rule for networks of spiking neurons
A hybrid linear-neural model for time series forecasting
Graph Neural Networks With Adaptive Confidence Discrimination
Volterra models and three-layer perceptrons
VAG: A Uniform Model for Cross-Modal Visual-Audio Mutual Generation
Extended Hamiltonian Learning on Riemannian Manifolds: Numerical Aspects
Probabilistic Forecasting With Modified N-BEATS Networks
A novel recurrent neural network with one neuron and finite-time convergence for k-winners-take-all operation
Dynamic Event-Triggered-Based Adaptive Finite-Time Neural Control for Active Suspension Systems With Displacement Constraint
Neural Network-Based Adaptive Antiswing Control of an Underactuated Ship-Mounted Crane With Roll Motions and Input Dead Zones
EMLFCL: An Efficient Multilevel Fusion Contrastive Learning for Multiview Clustering
Unveiling the Tapestry: The Interplay of Generalization and Forgetting in Continual Learning
Instance-Level Constraint-Based Semisupervised Learning With Imposed Space-Partitioning
LABIN: Balanced Min Cut for Large-Scale Data
Exploiting discriminant information in nonnegative matrix factorization with application to frontal face verification
Multiagent Continual Coordination via Progressive Task Contextualization
Rethinking Training Strategy in Stereo Matching
Textual and Visual Content-Based Anti-Phishing: A Bayesian Approach
Meta Pairwise Relationship Distillation for Unsupervised Person Re-Identification
CTV-Net: Complex-Valued TV-Driven Network With Nested Topology for 3-D SAR Imaging
DPSNet: Multitask Learning Using Geometry Reasoning for Scene Depth and Semantics
Probabilistic, Recurrent, Fuzzy Neural Network for Processing Noisy Time-Series Data
Deep Multiview Module Adaption Transfer Network for Subject-Specific EEG Recognition
Learning From ISS-Modular Adaptive NN Control of Nonlinear Strict-Feedback Systems
Teacher-Explorer-Student Learning: A Novel Learning Method for Open Set Recognition
Spiking Neural Network Regularization With Fixed and Adaptive Drop-Keep Probabilities
Partition-Level Tensor Learning-Based Multiview Unsupervised Feature Selection
Performance analysis of the bidirectional associative memory and an improved model from the matched-filtering viewpoint
Uniform Tensor Clustering by Jointly Exploring Sample Affinities of Various Orders
Adaptive Neural Network Finite-Time Dynamic Surface Control for Nonlinear Systems
The digi-neocognitron: a digital neocognitron neural network model for VLSI
Extracting rules from trained neural networks
A constructive algorithm for binary neural networks: the oil-spot algorithm
Manifold Learning Based on Straight-Like Geodesics and Local Coordinates
Exponential Stability of Impulsive Timescale-Type Nonautonomous Neural Networks With Discrete Time-Varying and Infinite Distributed Delays
Image recovery and segmentation using competitive learning in a layered network
Back-propagation network and its configuration for blood vessel detection in angiograms
Adaptive Leader-Following Consensus for Multiple Euler-Lagrange Systems With an Uncertain Leader System
Spatially Covariant Image Registration With Text Prompts
Online Kernel Learning With Adaptive Bandwidth by Optimal Control Approach
Representing and computing regular languages on massively parallel networks
Maximum Joint Probability With Multiple Representations for Clustering
Finite-Sample Analysis of Deep CCA-Based Unsupervised Post-Nonlinear Multimodal Learning
Hierarchical Passivity Criterion for Delayed Neural Networks via A General Delay-Product-Type Lyapunov-Krasovskii Functional
A Projection Neural Network for Constrained Quadratic Minimax Optimization
Artificial Evolution Network: A Computational Perspective on the Expansibility of the Nervous System
Vehicle Detection From UAV Imagery With Deep Learning: A Review
Self-creating and organizing neural networks
On the Improvement of Neural Cryptography Using Erroneous Transmitted Information With Error Prediction
Deep Selective Fusion of Visible and Near-Infrared Images Using Unsupervised U-Net
Self-Guided Partial Graph Propagation for Incomplete Multiview Clustering
mCRF and mRD: Two Classification Methods Based on a Novel Multiclass Label Noise Filtering Learning Framework
The annealing robust backpropagation (ARBP) learning algorithm
Supervised Discriminative Sparse PCA for Com-Characteristic Gene Selection and Tumor Classification on Multiview Biological Data
A Multiplier Bootstrap Approach to Designing Robust Algorithms for Contextual Bandits
A One-Layer Recurrent Neural Network With a Discontinuous Hard-Limiting Activation Function for Quadratic Programming
Error Loss Networks
Adaptive Neural Finite-Time Control of Non-Strict Feedback Nonlinear Systems With Non-Symmetrical Dead-Zone
Neural networks for advanced control of robot manipulators
Linear and nonlinear projective nonnegative matrix factorization
Fast numerical integration of relaxation oscillator networks based on singular limit solutions
Three-Stage Global Channel Pruning for Resources-Limited Platform
An Uncertainty-Aware Transfer Learning-Based Framework for COVID-19 Diagnosis
SVM-Based Tree-Type Neural Networks as a Critic in Adaptive Critic Designs for Control
Cycle-Refined Multidecision Joint Alignment Network for Unsupervised Domain Adaptive Hyperspectral Change Detection
Robust Neural Network Motion Tracking Control of Piezoelectric Actuation Systems for Micro/Nanomanipulation
Guest Editorial Everyday Applications Of Neural Networks
Backpropagation in linear arrays-a performance analysis and optimization
Nonessentiality of Reservoir's Fading Memory for Universality of Reservoir Computing
An Information-Based Learning Approach to Dual Control
On the complexity of training neural networks with continuous activation functions
Neural Network-Based DOBC for a Class of Nonlinear Systems With Unmatched Disturbances
Collaborative Knowledge Distillation via Multiknowledge Transfer