yusuke1997/dblp-id-title huggingface dataset:
Drill the Cork of Information Bottleneck by Inputting the Most Important Data
Predicting neutron diffusion eigenvalues with a query-based adaptive neural architecture
Diffusion Source Inference for Large-Scale Complex Networks Based on Network Percolation
Deep Structured State Learning for Next-Period Recommendation
Optimizing Kernel Machines Using Deep Learning
A New Solution Path Algorithm in Support Vector Regression
Guest Editorial Special Issue on New Frontiers in Extremely Efficient Reservoir Computing
VLSI circuit placement with rectilinear modules using three-layer force-directed self-organizing maps
On a Neural Approximator to ODEs
COVNET: a cooperative coevolutionary model for evolving artificial neural networks
A comparison between neural-network forecasting techniques-case study: river flow forecasting
Negative Correlation Ensemble Learning for Ordinal Regression
Dimensionality Reduction in Multiple Ordinal Regression
Online Active Learning Ensemble Framework for Drifted Data Streams
SPANNER: A Self-Repairing Spiking Neural Network Hardware Architecture
Averaging, maximum penalized likelihood and Bayesian estimation for improving Gaussian mixture probability density estimates
Two Novel Noise-Suppression Projection Neural Networks With Fixed-Time Convergence for Variational Inequalities and Applications
NNG-Mix: Improving Semi-Supervised Anomaly Detection With Pseudo-Anomaly Generation
Synchronization Control for Discrete-Time-Delayed Dynamical Networks With Switching Topology Under Actuator Saturations
Incremental Generalized Discriminative Common Vectors for Image Classification
Approximation-Based Adaptive Tracking Control of Pure-Feedback Nonlinear Systems With Multiple Unknown Time-Varying Delays
An XGBoost-Based Fitted Q Iteration for Finding the Optimal STI Strategies for HIV Patients
Regularized Kernel Discriminant Analysis With a Robust Kernel for Face Recognition and Verification
Permutation Equivariant Graph Framelets for Heterophilous Graph Learning
Novel Inequalities to Global Mittag-Leffler Synchronization and Stability Analysis of Fractional-Order Quaternion-Valued Neural Networks
Neural-Network-Based Adaptive Fault-Tolerant Cooperative Control of Heterogeneous Multiagent Systems With Multiple Faults and DoS Attacks
Comments on "Accelerated learning algorithm for multilayer perceptrons: optimization layer by layer"
Massively parallel architectures for large scale neural network simulations
Predictive self-organizing map for vector quantization of migratory signals and its application to mobile communications
Blind separation of signals with mixed kurtosis signs using threshold activation functions
Evolutionary Dynamics Optimal Research-Oriented Tumor Immunity Architecture
On Extended Dissipativity of Discrete-Time Neural Networks With Time Delay
Stable neurovisual servoing for robot manipulators
Density-Dependent Quantized Least Squares Support Vector Machine for Large Data Sets
Real-Time Decentralized Neural Control via Backstepping for a Robotic Arm Powered by Industrial Servomotors
Design and implementation of multipattern generators in analog VLSI
SocialSift: Target Query Discovery on Online Social Media With Deep Reinforcement Learning
Robust Neurooptimal Control for a Robot via Adaptive Dynamic Programming
SmartDeal: Remodeling Deep Network Weights for Efficient Inference and Training
Adaptive Multistep Prediction With Sequence-to-Sequence (Seq2Seq) Models
Feedback Controller Design for the Synchronization of Boolean Control Networks
Classification With Truncated $\ell _{1}$ Distance Kernel
Synchronization of Markov Jump Neural Networks With Communication Constraints via Asynchronous Output Feedback Control
Cascade Fusion and Correlation Enhancement for Knowledge Distillation
Utilizing Unlabeled Data to Detect Electricity Fraud in AMI: A Semisupervised Deep Learning Approach
Concept Drift-Tolerant Transfer Learning in Dynamic Environments
FREL: A Stable Feature Selection Algorithm
Observer-Based Boundary Stabilization of Coupled Semilinear Reaction-Diffusion Neural Networks With Spatially Varying Coefficients via Event-Triggered Controller
Regularizing Scale-Adaptive Central Moment Sharpness for Neural Networks
Learning feedforward control using a Dilated B-spline network: frequency Domain Analysis and design
A universal learning rule that minimizes well-formed cost functions
Road Network-Guided Fine-Grained Urban Traffic Flow Inference
Design of the inverse function delayed neural network for solving combinatorial optimization problems
Sampled-Data Adaptive NN Tracking Control ofUncertainNonlinear Systems
Pruning Support Vector Machines Without Altering Performances
SFANet: A Spectrum-Aware Feature Augmentation Network for Visible-Infrared Person Reidentification
How initial conditions affect generalization performance in large networks
Talking Face Generation With Audio-Deduced Emotional Landmarks
Data Mining Based Full Ceramic Bearing Fault Diagnostic System Using AE Sensors
Enabling Visual Object Detection With Object Sounds via Visual Modality Recalling Memory
Multiview Spectral Clustering via Structured Low-Rank Matrix Factorization
Embedded Streaming Deep Neural Networks Accelerator With Applications
Proportional-Integral-Observer-Based Fusion Estimation for Artificial Neural Networks: Implementing a One-Bit Encoding Scheme
Sampled-Data Synchronization of Chaotic Lur'e Systems With Time Delays
A 3-D surface reconstruction approach based on postnonlinear ICA model
CORE: CORrelation-Guided Feature Enhancement for Few-Shot Image Classification
S 4 DL: Shift-Sensitive Spatial-Spectral Disentangling Learning for Hyperspectral Image Unsupervised Domain Adaptation
Probabilistic principal component subspaces: a hierarchical finite mixture model for data visualization
An Improved Dynamic Neurocontroller Based on Christoffel Symbols
Network Pruning Using Adaptive Exemplar Filters
Disparity Estimation by Pooling Evidence From Energy Neurons
Spectral Super-Resolution in Frequency Domain
Learning sensory maps with real-world stimuli in real time using a biophysically realistic learning rule
Modeling Uncertainty for Gaussian Splatting
Anomaly Detection of Time Series With Smoothness-Inducing Sequential Variational Auto-Encoder
ADP-Based Orbit Tracking Control for Deep Space Probe Flying Around Unknown Asteroid
Control of unknown nonlinear systems with efficient transient performance using concurrent exploitation and exploration
Backstepping Design of Adaptive Neural Fault-Tolerant Control for MIMO Nonlinear Systems
Manifold Preserving: An Intrinsic Approach for Semisupervised Distance Metric Learning
Event-Triggered Prescribed Settling Time Consensus Compensation Control for a Class of Uncertain Nonlinear Systems With Actuator Failures
Position-Aware Participation-Contributed Temporal Dynamic Model for Group Activity Recognition
Periodic Activation Function and a Modified Learning Algorithm for the Multivalued Neuron
Visual recognition of continuous hand postures
Inherently Interpretable Physics-Informed Neural Network for Battery Modeling and Prognosis
The Correspondence Between Deterministic and Stochastic Digital Neurons: Analysis and Methodology
Pixel-Centric Context Perception Network for Camouflaged Object Detection
Auto-associative memory with two-stage dynamics of nonmonotonic neurons
A Self-Learning Immune Co-Evolutionary Network for Multiple Escaping Targets Search With Random Observable Conditions
Transformation Invariant On-Line Target Recognition
Memristive Circuit Implementation of Caenorhabditis Elegans Mechanism for Neuromorphic Computing
Uncertainty-Aware Aggregation for Federated Open Set Domain Adaptation
A Vibration Control Method for Hybrid-Structured Flexible Manipulator Based on Sliding Mode Control and Reinforcement Learning
Federated Fine-Tuning on Heterogeneous LoRAs With Error-Compensated Aggregation
Decentralized Optimal Control of a Class of Interconnected Nonlinear Discrete-Time Systems by Using Online Hamilton-Jacobi-Bellman Formulation
Formation Tracking of Multiagent Systems With Time-Varying Actuator Faults and Its Application to Task-Space Cooperative Tracking of Manipulators
Industrial Process Monitoring Based on Dynamic Overcomplete Broad Learning Network
LRNAS: Differentiable Searching for Adversarially Robust Lightweight Neural Architecture
Q-ADER: An Effective Q-Learning for Recommendation With Diminishing Action Space
Output Feedback Control for Stochastic Nonlinear Systems With Nondifferentiable Measurement Function and Input Saturation
On Information Plane Analyses of Neural Network Classifiers - A Review
A very fast neural learning for classification using only new incoming datum
Reconstructible Nonlinear Dimensionality Reduction via Joint Dictionary Learning
Real-Time Object Detection With Reduced Region Proposal Network via Multi-Feature Concatenation
Late Fusion Multiview Clustering via Min-Max Optimization
Foundations of implementing the competitive layer model by Lotka-Volterra recurrent neural networks
The Risk of Federated Learning to Skew Fine-Tuning Features and Underperform Robustness
Neural Time-Aware Sequential Recommendation by Jointly Modeling Preference Dynamics and Explicit Feature Couplings
Global Robust Exponential Dissipativity of Uncertain Second-Order BAM Neural Networks With Mixed Time-Varying Delays
Adaptive Subspace Optimization Ensemble Method for High-Dimensional Imbalanced Data Classification
A Novel Neural Network for Generally Constrained Variational Inequalities
Improving procedures for evaluation of connectionist context-free language predictors
Adaptive Decision-Making for Automated Vehicles Under Roundabout Scenarios Using Optimization Embedded Reinforcement Learning
Deterministic nonmonotone strategies for effective training of multilayer perceptrons
Pose and Color-Gamut Guided Generative Adversarial Network for Pedestrian Image Synthesis
Training Spiking Neuronal Networks With Applications in Engineering Tasks
Few-Shot Object Detection With Self-Supervising and Cooperative Classifier
Neural network-based adaptive controller design of robotic manipulators with an observer
Class-Irrelevant Feature Removal for Few-Shot Image Classification
Tensor Networks for Latent Variable Analysis: Higher Order Canonical Polyadic Decomposition
Prediction Intervals for a Noisy Nonlinear Time Series Based on a Bootstrapping Reservoir Computing Network Ensemble
Theoretical investigation of the robustness of multilayer perceptrons: analysis of the linear case and extension to nonlinear networks
A robust neural controller for underwater robot manipulators
Noisy recurrent neural networks: the discrete-time case
Distributed Online Learning Algorithm for Noncooperative Games Over Unbalanced Digraphs
Dynamic neural control for a plasma etch process
Type-Dependent Average Dwell Time Method and Its Application to Delayed Neural Networks With Large Delays
Predicting subscriber dissatisfaction and improving retention in the wireless telecommunications industry
Novel weighting-delay-based stability criteria for recurrent neural networks with time-varying delay
Generative Adversarial Soft Actor-Critic
Incremental Design of Simplex Basis Function Model for Dynamic System Identification
Event-Based Motion Segmentation With Spatio-Temporal Graph Cuts
Classification in the Presence of Label Noise: A Survey
Qualitative analysis and synthesis of recurrent neural networks [Book Review]
Metaparametric Neural Networks for Survival Analysis
A Distance-Based Weighted Undersampling Scheme for Support Vector Machines and its Application to Imbalanced Classification
Contrastive Unfolding Deraining Network
Hyperspectral Image Denoising: From Model-Driven, Data-Driven, to Model-Data-Driven
Jointly Heterogeneous Palmprint Discriminant Feature Learning
Frequency Domain-Oriented Complex Graph Neural Networks for Graph Classification
The pre-image problem in kernel methods
Soft Sensing for Time Series With Irregular Sampling Internals Based on a Denoising Interval Attention LSTM Network
Grouped Spherical Data Modeling Through Hierarchical Nonparametric Bayesian Models and Its Application to fMRI Data Analysis
Event-Triggered Model-Free Adaptive Control for Nonlinear Multiagent Systems Under Jamming Attacks
A new model of self-organizing neural networks and its application in data projection
Neural-Network-Based Predefined-Time Adaptive Consensus in Nonlinear Multi-Agent Systems With Switching Topologies
Dynamic Co-Embedding Model for Temporal Attributed Networks
Boosting On-Policy Actor-Critic With Shallow Updates in Critic
Rotation-invariant neural pattern recognition system with application to coin recognition
Multiclass Feature Selection With Kernel Gram-Matrix-Based Criteria
IVS-Caffe - Hardware-Oriented Neural Network Model Development
Adaptive Neurodynamic Approach to Multiple Constrained Distributed Resource Allocation
Phase-Noise-Induced Resonance in Arrays of Coupled Excitable Neural Models
Neural Machine Translation With GRU-Gated Attention Model
The Impact of Arithmetic Representation on Implementing MLP-BP on FPGAs: A Study
Multiple-Instance Ordinal Regression
Training Recurrent Neurocontrollers for Robustness With Derivative-Free Kalman Filter
Learning Ordinal-Hierarchical Constraints for Deep Learning Classifiers
MLNE: Multi-Label Network Embedding
AAformer: Auto-Aligned Transformer for Person Re-Identification
The Application of Visual Saliency Models in Objective Image Quality Assessment: A Statistical Evaluation
A Maximum Entropy Framework for Semisupervised and Active Learning With Unknown and Label-Scarce Classes
Containment Control of Linear Multiagent Systems With Aperiodic Sampling and Measurement Size Reduction
Facial expression recognition using kernel canonical correlation analysis (KCCA)
Neural networks for engineering in medicine and biology
A Spatio-Spectral Fusion Method for Hyperspectral Images Using Residual Hyper-Dense Network
SALR: Sharpness-Aware Learning Rate Scheduler for Improved Generalization
Rethinking Image Skip Connections in StyleGAN2
Quantitative Analysis of Nonlinear Embedding
Local Coordinates Alignment With Global Preservation for Dimensionality Reduction
A Semismooth Newton Algorithm for High-Dimensional Nonconvex Sparse Learning
A digital hardware pulse-mode neuron with piecewise linear activation function
Local linear perceptrons for classification
Region-Object Relation-Aware Dense Captioning via Transformer
Low-Rank Plus Sparse Decomposition of Covariance Matrices Using Neural Network Parametrization
FBANet: An Effective Data Mining Method for Food Olfactory EEG Recognition
Design and Analysis of Data-Driven Learning Control: An Optimization-Based Approach
An Augmented Echo State Network for Nonlinear Adaptive Filtering of Complex Noncircular Signals
Master-Slave Synchronization of Delayed Neural Networks With Time-Varying Control
Robust Synchronization for 2-D Discrete-Time Coupled Dynamical Networks
Mixed H-Infinity and Passive Filtering for Discrete Fuzzy Neural Networks With Stochastic Jumps and Time Delays
Kernel-Based Distance Metric Learning for Supervised k-Means Clustering
Multiplane Convex Proximal Support Vector Machine
A new simple ∞OH neuron model as a biologically plausible principal component analyzer
Unifying Attribute and Structure Preservation for Enhanced Graph Contrastive Learning
When Heterophily Meets Heterogeneous Graphs: Latent Graphs Guided Unsupervised Representation Learning
Hierarchical Similarity Learning for Aliasing Suppression Image Super-Resolution
Unsupervised Network Quantization via Fixed-Point Factorization
CHIP: Channel-Wise Disentangled Interpretation of Deep Convolutional Neural Networks
Distance Metric Learning Using Privileged Information for Face Verification and Person Re-Identification
Rethinking Prior-Guided Face Super-Resolution: A New Paradigm With Facial Component Prior
A novel high-order associative memory system via discrete Taylor series
Design and Implementation of Deep Neural Network-Based Control for Automatic Parking Maneuver Process
A Hybrid CMOS-Memristor Spiking Neural Network Supporting Multiple Learning Rules
An Optimization Methodology for Neural Network Weights and Architectures
Minimizing the Effect of Process Mismatch in a Neuromorphic System Using Spike-Timing-Dependent Adaptation
On the geometric convergence of neural approximations
The design, fabrication, and test of a new VLSI hybrid analog-digital neural processing element
Consensus of Multiagent Systems With Distance-Dependent Communication Networks
Neural Honeypoint: An Active Defense Framework Against Model Inversion Attacks
Representation-Enhanced Status Replay Network for Multisource Remote-Sensing Image Classification
Stability Analysis for Neural Networks With Time-Varying Interval Delay
Using mutual information for selecting features in supervised neural net learning
Unsupervised Feature Selection via Orthogonal Basis Clustering and Local Structure Preserving
Staleness-Reduction Mini-Batch K-Means
Neural Projection Filter: Learning Unknown Dynamics Driven by Noisy Observations
Discrepancy-Guided Domain-Adaptive Data Augmentation
Deep Class-Wise Hashing: Semantics-Preserving Hashing via Class-Wise Loss
Toward Discriminating and Synthesizing Motion Traces Using Deep Probabilistic Generative Models
Influence of Imperfections on the Operational Correctness of DNN-kWTA Model
An Efficient Group Recommendation Model With Multiattention-Based Neural Networks
Physics-Guided Generative Adversarial Networks for Sea Subsurface Temperature Prediction
Knowledge Implementation and Transfer With an Adaptive Learning Network for Real-Time Power Management of the Plug-in Hybrid Vehicle
ViT-MVT: A Unified Vision Transformer Network for Multiple Vision Tasks
Mean-square convergence analysis of ADALINE training with minimum error entropy criterion
Real-time learning capability of neural networks
Constrained Empirical Risk Minimization Framework for Distance Metric Learning
Dynamically Spatiotemporal Regularized Correlation Tracking
An Adaptive Self-Stabilizing Algorithm for Minor Generalized Eigenvector Extraction and Its Convergence Analysis
Stability analysis of neural-network interconnected systems
Budget Online Learning Algorithm for Least Squares SVM
Visualization of neural-network gaps based on error analysis
Exploring Adversarial Attack in Spiking Neural Networks With Spike-Compatible Gradient
Representation of Nonlinear Random Transformations by Non-Gaussian Stochastic Neural Networks
A Distance Transformation Deep Forest Framework With Hybrid-Feature Fusion for CXR Image Classification
Joint Sparse Representation and Embedding Propagation Learning: A Framework for Graph-Based Semisupervised Learning
A neural network approach to statistical pattern classification by 'semiparametric' estimation of probability density functions
Prior-Based Tensor Approximation for Anomaly Detection in Hyperspectral Imagery
Robust stability analysis for stochastic neural networks with time-varying delay
Concurrent Learning Robust Adaptive Fault Tolerant Boundary Regulation of Hyperbolic Distributed Parameter Systems
Joint Principal Component and Discriminant Analysis for Dimensionality Reduction
Multiclass Sparse Centroids With Application to Fast Time Series Classification
Automatic Sparse Connectivity Learning for Neural Networks
Improving Robustness of Intent Detection Under Adversarial Attacks: A Geometric Constraint Perspective
Subtraction Gates: Another Way to Learn Long-Term Dependencies in Recurrent Neural Networks
Corrections to "Basins of Attraction in Fully Asynchronous Discrete-Time Discrete-State Dynamic Networks" [Mar 06 397-408]
Fast and Accurate Sparse Coding of Visual Stimuli With a Simple, Ultralow-Energy Spiking Architecture
High-order and multilayer perceptron initialization
Mimic and Fool: A Task-Agnostic Adversarial Attack
Balancing Learning Model Privacy, Fairness, and Accuracy With Early Stopping Criteria
Small is Beautiful: Compressing Deep Neural Networks for Partial Domain Adaptation
PHFS: Progressive Hierarchical Feature Selection Based on Adaptive Sample Weighting
Synchronization of Tree Parity Machines Using Nonbinary Input Vectors
Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning
Neighborhood Geometric Structure-Preserving Variational Autoencoder for Smooth and Bounded Data Sources
A Unified Entropy-Based Distance Metric for Ordinal-and-Nominal-Attribute Data Clustering
A Prediction-Sampling-Based Multilayer-Structured Latent Factor Model for Accurate Representation to High-Dimensional and Sparse Data
T-HyperGNNs: Hypergraph Neural Networks via Tensor Representations
Overcoming the Barrier of Incompleteness: A Hyperspectral Image Classification Full Model
Blind equalization of a noisy channel by linear neural network
Active Multilabel Crowd Consensus
Open-Ended Online Learning for Autonomous Visual Perception
Fault-tolerant training for optimal interpolative nets
Distributed Adaptive Tracking Synchronization for Coupled Reaction-Diffusion Neural Network
Sequential Label Enhancement
GenSafe: A Generalizable Safety Enhancer for Safe Reinforcement Learning Algorithms Based on Reduced Order Markov Decision Process Model
Reinforcement Learning-Based Nonautoregressive Solver for Traveling Salesman Problems
Lifelong Visual-Tactile Cross-Modal Learning for Robotic Material Perception
Faceted Text Segmentation via Multitask Learning
Heterogeneous Multilayer Generalized Operational Perceptron
Domain Adaptation From Multiple Sources: A Domain-Dependent Regularization Approach
SEAL: Semisupervised Adversarial Active Learning on Attributed Graphs
Exploiting Generalization in the Subspaces for Faster Model-Based Reinforcement Learning
Trajectory Tracking Control of Autonomous Ground Vehicles Using Adaptive Learning MPC
Adaptive Neural PD Control With Semiglobal Asymptotic Stabilization Guarantee
Data-Driven Safe Policy Optimization for Black-Box Dynamical Systems With Temporal Logic Specifications
An analysis of the gamma memory in dynamic neural networks
SMONAC: Supervised Multiobjective Negative Actor-Critic for Sequential Recommendation
Orthogonal projections applied to the assignment problem
Robust Student Network Learning
Exponentially Synchronous Results for Delayed Neural Networks With Leakage Delay via Switched Delay Idea and AED-ADT Method
Recurrent Correlation Associative Memories: A Feature Space Perspective
Driving Profile Modeling and Recognition Based on Soft Computing Approach
H ∞ Bipartite Synchronization of Double-Layer Markov Switched Cooperation-Competition Neural Networks: A Distributed Dynamic Event-Triggered Mechanism
GCRec: Graph-Augmented Capsule Network for Next-Item Recommendation
AttentionGAN: Unpaired Image-to-Image Translation Using Attention-Guided Generative Adversarial Networks
Dynamics of Generalized PCA and MCA Learning Algorithms
Canonical parameterization of excess motor degrees of freedom with self-organizing maps
Topology-Preserved Information Bottleneck for Multiview Anomaly Detection
An analytical framework for local feedforward networks
Improving Speech Emotion Recognition With Adversarial Data Augmentation Network
On the SVMpath Singularity
Jointly Learning the Hybrid CRF and MLR Model for Simultaneous Denoising and Classification of Hyperspectral Imagery
The Graph Neural Network Model
VLSI implementation of ART1 memories
Dynamical and Static Multisynchronization of Coupled Multistable Neural Networks via Impulsive Control
Accelerated Gradient Approach For Deep Neural Network-Based Adaptive Control of Unknown Nonlinear Systems
Numerical convergence and interpretation of the fuzzy c-shells clustering algorithm
Risk-neutral density extraction from option prices: improved pricing with mixture density networks
Decoupling Long- and Short-Term Patterns in Spatiotemporal Inference
Stochastic Optimal Control for Multivariable Dynamical Systems Using Expectation Maximization
NN-Based Reinforcement Learning Optimal Control for Inequality-Constrained Nonlinear Discrete-Time Systems With Disturbances
Smooth Multiple Kernel k-Means via Underlying Graph Filtering
Guest Editorial Learning in Nonstationary and Evolving Environments
A Dynamic-Varying Parameter Enhanced ZNN Model for Solving Time-Varying Complex-Valued Tensor Inversion With Its Application to Image Encryption
A Novel Composite Graph Neural Network