yusuke1997/dblp-id-title huggingface dataset:
A neural network filter to detect small targets in high clutter backgrounds
Efficient Predefined-Time Adaptive Neural Networks for Computing Time-Varying Tensor Moore-Penrose Inverse
Multiview Clustering With Propagating Information Bottleneck
Fick's Law Assisted Propagation for Semisupervised Learning
Local Stability and Convergence Analysis of Neural Network Controllers With Error Integral Inputs
Machine Learning for Structure Determination in Single-Particle Cryo-Electron Microscopy: A Systematic Review
Deep Ensemble Transformers for Dimensionality Reduction
Event-Based Robust Control for Uncertain Nonlinear Systems Using Adaptive Dynamic Programming
MAEMOT: Pretrained MAE-Based Antiocclusion 3-D Multiobject Tracking for Autonomous Driving
A Cheap Feature Selection Approach for the K-Means Algorithm
Cascade Superpixel Regularized Gabor Feature Fusion for Hyperspectral Image Classification
A neural architecture for pattern sequence verification through inferencing
Recurrent Neural Network for Non-Smooth Convex Optimization Problems With Application to the Identification of Genetic Regulatory Networks
Adaptive Intermittent Pinning Control for Synchronization of Delayed Nonlinear Memristive Neural Networks With Reaction-Diffusion Items
Comments on "Diagonal recurrent neural networks for dynamic systems control". Reproof of theorems 2 and 4 [and reply]
On the Real-World Adversarial Robustness of Real-Time Semantic Segmentation Models for Autonomous Driving
Nonautoregressive Encoder-Decoder Neural Framework for End-to-End Aspect-Based Sentiment Triplet Extraction
XTQA: Span-Level Explanations for Textbook Question Answering
A Deep Machine Learning Method for Classifying Cyclic Time Series of Biological Signals Using Time-Growing Neural Network
A Novel Hierarchical Cross-Stream Aggregation Neural Network for Semantic Segmentation of 3-D Dental Surface Models
A Tandem Learning Rule for Effective Training and Rapid Inference of Deep Spiking Neural Networks
How Can Anomalous-Diffusion Neural Networks Under Connectomics Generate Optimized Spatiotemporal Dynamics
Improving generalization performance using double backpropagation
Robust Adaptive Dynamic Programming of Two-Player Zero-Sum Games for Continuous-Time Linear Systems
Online Learning of a Dirichlet Process Mixture of Beta-Liouville Distributions Via Variational Inference
Constrained Null Space Component Analysis for Semiblind Source Separation Problem
PM₂.₅ Monitoring: Use Information Abundance Measurement and Wide and Deep Learning
Neural-network control of mobile manipulators
On-line learning of dynamical systems in the presence of model mismatch and disturbances
Double-Structured Sparsity Guided Flexible Embedding Learning for Unsupervised Feature Selection
Building Fake Review Detection Model Based on Sentiment Intensity and PU Learning
Simulated annealing and weight decay in adaptive learning: the SARPROP algorithm
Transductive Zero-Shot Hashing for Multilabel Image Retrieval
VB-Adapter: Variational Bayesian Adapter for Cross-Domain Speech Representation Learning
Nonsmooth Optimization-Based Model and Algorithm for Semisupervised Clustering
Knowledge Transfer and Reinforcement Based on Biunbiased Neural Network: A Novel Solution for Open-Set Fault Transfer Diagnosis
Hybrid Reinforcement Learning for Optimal Control of Non-Linear Switching System
Application of Neural Network to Hybrid Systems With Binary Inputs
Clifford-Valued Distributed Optimization Based on Recurrent Neural Networks
Adaptive Approximation for Multiple Sensor Fault Detection and Isolation of Nonlinear Uncertain Systems
Adversarial Caching Training: Unsupervised Inductive Network Representation Learning on Large-Scale Graphs
An improved algorithm for neural network classification of imbalanced training sets
Human expression recognition from motion using a radial basis function network architecture
Learning Semantic-Aligned Action Representation
A Review of Nuclei Detection and Segmentation on Microscopy Images Using Deep Learning With Applications to Unbiased Stereology Counting
A practical radial basis function equalizer
Exploring Contextual Knowledge-Enhanced Speech Recognition in Air Traffic Control Communication: A Comparative Study
Vector quantization of images using modified adaptive resonance algorithm for hierarchical clustering
Constrained Maximum Cross-Domain Likelihood for Domain Generalization
Geodesic Basis Function Neural Network
A neural network for shortest path computation
Microcode optimization with neural networks
Growing Hierarchical Probabilistic Self-Organizing Graphs
Deep LSAC for Fine-Grained Recognition
Skeleton-Based Human Motion Prediction With Privileged Supervision
A multilayer neural network with piecewise-linear structure and back-propagation learning
On the Robustness of Bayesian Neural Networks to Adversarial Attacks
An Off-Policy Reinforcement Learning-Based Adaptive Optimization Method for Dynamic Resource Allocation Problem
Neural Network for Nonsmooth, Nonconvex Constrained Minimization Via Smooth Approximation
Power-Type Varying-Parameter RNN for Solving TVQP Problems: Design, Analysis, and Applications
Approximate Policy Iteration With Deep Minimax Average Bellman Error Minimization
IBLF-Based Adaptive Neural Control of State-Constrained Uncertain Stochastic Nonlinear Systems
Universal Perceptron and DNA-Like Learning Algorithm for Binary Neural Networks: Non-LSBF Implementation
Backpropagation and ordered derivatives in the time scales calculus
Neural Networks as Geometric Chaotic Maps
Stroke Sequence-Dependent Deep Convolutional Neural Network for Online Handwritten Chinese Character Recognition
A New Graph Autoencoder-Based Consensus-Guided Model for scRNA-seq Cell Type Detection
Learning Semantics-Consistent Stripes With Self-Refinement for Person Re-Identification
Neural networks for process scheduling in real-time communication systems
A Unified Approach to Coreset Learning
Spectral Graph Optimization for Instance Reduction
Adaptive Exact Penalty Design for Optimal Resource Allocation
A Greedy Assist-as-Needed Controller for Upper Limb Rehabilitation
Inherent features of wavelets and pulse coupled networks
Multimodal Image Classification by Multiview Latent Pattern Extraction, Selection, and Correlation
Multiview Representation Learning via Information-Theoretic Optimization
Performance Enhancement of Learning Tracking Systems Over Fading Channels With Multiplicative and Additive Randomness
An Online Minimax Optimal Algorithm for Adversarial Multiarmed Bandit Problem
A review of Bayesian neural networks with an application to near infrared spectroscopy
On a Finitely Activated Terminal RNN Approach to Time-Variant Problem Solving
Bayesian Neighborhood Component Analysis
NGDE: A Niching-Based Gradient-Directed Evolution Algorithm for Nonconvex Optimization
Boundary Stabilization of Stochastic Delayed Cohen-Grossberg Neural Networks With Diffusion Terms
Two highly efficient second-order algorithms for training feedforward networks
Resilient Output Synchronization of Heterogeneous Multiagent Systems With DoS Attacks Under Distributed Event-/Self-Triggered Control
Digitally programmable analog building blocks for the implementation of artificial neural networks
Online Sequential Extreme Learning Machine With Kernels
Global Stability of Fractional Nonlinear Differential Systems With State-Dependent Delayed Impulses
A tight bound on concept learning
Learning Deep Context-Sensitive Decomposition for Low-Light Image Enhancement
Neural Network-Based Finite Horizon Stochastic Optimal Control Design for Nonlinear Networked Control Systems
Estimation of Graphlet Counts in Massive Networks
Stepsize Range and Optimal Value for Taylor-Zhang Discretization Formula Applied to Zeroing Neurodynamics Illustrated via Future Equality-Constrained Quadratic Programming
Memory Augmented Deep Recurrent Neural Network for Video Question Answering
Coupled Attribute Similarity Learning on Categorical Data
Experienced Gray Wolf Optimization Through Reinforcement Learning and Neural Networks
A Latent Manifold Markovian Dynamics Gaussian Process
Concurrent Subspace Width Optimization Method for RBF Neural Network Modeling
Multi-View Multi-Label Fine-Grained Emotion Decoding From Human Brain Activity
Explicit Metric-Based Multiconcept Multi-Instance Learning With Triplet and Superbag
Homotopy Methods Based on l 0 -Norm for Compressed Sensing
Graph-Based Class-Imbalance Learning With Label Enhancement
Masked and Inverse Dynamics Modeling for Data-Efficient Reinforcement Learning
Event-Based Output Quantized Synchronization Control for Multiple Delayed Neural Networks
Initial state training procedure improves dynamic recurrent networks with time-dependent weights
Global convergence of Oja's subspace algorithm for principal component extraction
A New Looped Functional to Synchronize Neural Networks With Sampled-Data Control
Graph Polish: A Novel Graph Generation Paradigm for Molecular Optimization
Improving Text-Based Person Retrieval by Excavating All-Round Information Beyond Color
Robust Label Propagation on Multiple Networks
Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds
Variational Transformer: A Framework Beyond the Tradeoff Between Accuracy and Diversity for Image Captioning
Adaptive Neural Tracking Control of Switched Stochastic Pure-Feedback Nonlinear Systems With Unknown Bouc-Wen Hysteresis Input
CARRNN: A Continuous Autoregressive Recurrent Neural Network for Deep Representation Learning From Sporadic Temporal Data
A gradual neural-network algorithm for jointly time-slot/code assignment problems in packet radio networks
The infinite hidden Markov random field model
Toward Unique and Unbiased Causal Effect Estimation From Data With Hidden Variables
Data-Driven Zero-Sum Neuro-Optimal Control for a Class of Continuous-Time Unknown Nonlinear Systems With Disturbance Using ADP
On solving constrained optimization problems with neural networks: a penalty method approach
Undamped Oscillations Generated by Hopf Bifurcations in Fractional-Order Recurrent Neural Networks With Caputo Derivative
Scalar equations for synchronous Boolean networks with biological applications
Real-Time Gesture Interface Based on Event-Driven Processing From Stereo Silicon Retinas
Semisupervised Classification With Cluster Regularization
Feedback Control by Online Learning an Inverse Model
Contrastive Learning Assisted-Alignment for Partial Domain Adaptation
User Preference-Based Dual-Memory Neural Model With Memory Consolidation Approach
A theoretical comparison of batch-mode, on-line, cyclic, and almost-cyclic learning
Adaptive Neural Network Backstepping Control of Fractional-Order Nonlinear Systems With Actuator Faults
A recurrent Newton algorithm and its convergence properties
Optimizing for In-Memory Deep Learning With Emerging Memory Technology
Clustering Through Hybrid Network Architecture With Support Vectors
CARVE-a constructive algorithm for real-valued examples
Weight shifting techniques for self-recovery neural networks
SSAT++: A Semantic-Aware and Versatile Makeup Transfer Network With Local Color Consistency Constraint
Editorial: Staying Healthy and Strong Together
A Lightweight Group Transformer-Based Time Series Reduction Network for Edge Intelligence and Its Application in Industrial RUL Prediction
A feedforward bidirectional associative memory
On Stabilization of Stochastic Cohen-Grossberg Neural Networks With Mode-Dependent Mixed Time-Delays and Markovian Switching
The linear separability problem: some testing methods
Tackling Learning Intractability Through Topological Organization and Regulation of Cortical Networks
A New Neuroadaptive Control Architecture for Nonlinear Uncertain Dynamical Systems: Beyond sigma- and e-Modifications
Dynamic Submodular-Based Learning Strategy in Imbalanced Drifting Streams for Real-Time Safety Assessment in Nonstationary Environments
Disturbance Observer-Based Adaptive Neural Network Output Feedback Control for Uncertain Nonlinear Systems
Passivity and Synchronization of Coupled Uncertain Reaction-Diffusion Neural Networks With Multiple Time Delays
Dynamic Moore-Penrose Inversion With Unknown Derivatives: Gradient Neural Network Approach
Adaptive Neural Consensus Observer Networks Design for a Class of Semilinear Parabolic PDE Systems
Neural Adaptive Dynamic Surface Asymptotic Tracking Control of Hydraulic Manipulators With Guaranteed Transient Performance
Spatio-Temporal Adaptation in the Unsupervised Development of Networked Visual Neurons
Cork quality classification system using a unified image processing and fuzzy-neural network methodology
SGKGE: Semantically Guided Knowledge Graph Embeddings via Complementary Latent Representations
Adaptive Filter Pruning via Sensitivity Feedback
Beyond Expectation: Deep Joint Mean and Quantile Regression for Spatiotemporal Problems
A class of physical modeling recurrent networks for analysis/synthesis of plucked string instruments
Breast Tumor Segmentation in DCE-MRI With Tumor Sensitive Synthesis
Communication-Efficient Hybrid Federated Learning for E-Health With Horizontal and Vertical Data Partitioning
Color image processing in a cellular neural-network environment
Nonlinear Model Predictive Control Based on Collective Neurodynamic Optimization
Global asymptotic stability analysis of bidirectional associative memory neural networks with time delays
Constructive feedforward ART clustering networks. I
Deep Semantic-Preserving Ordinal Hashing for Cross-Modal Similarity Search
Adaptive Learning in Tracking Control Based on the Dual Critic Network Design
Reduction of breast biopsies with a modified self-organizing map
Path Tracking Control of Autonomous Vehicles Subject to Deception Attacks via a Learning-Based Event-Triggered Mechanism
TNNLS Call for Reviewers and Special Issues
Unsupervised analysis of polyphonic music by sparse coding
Improving KPCA Online Extraction by Orthonormalization in the Feature Space
Generalization of adaptive neuro-fuzzy inference systems
Rapid Feedforward Computation by Temporal Encoding and Learning With Spiking Neurons
Robust Online Tensor Completion for IoT Streaming Data Recovery
Adaptive Sparse Memory Networks for Efficient and Robust Video Object Segmentation
Online Spatio-Temporal Learning in Deep Neural Networks
Community Detection via Multihop Nonnegative Matrix Factorization
Affinity Uncertainty-Based Hard Negative Mining in Graph Contrastive Learning
Robust Reconstructed Neural Network Based on Spectral Elastic Activation
One-Layer Continuous-and Discrete-Time Projection Neural Networks for Solving Variational Inequalities and Related Optimization Problems
TC3Net: Transformer and Convolution Coupled Contrastive Network for Single Image Super-Resolution
Two-Phase Construction of Multilayer Perceptrons Using Information Theory
Neural Network-Based Adaptive Tracking Control for Denitrification and Aeration Processes With Time Delays
Approximating Gaussian Mixture Model or Radial Basis Function Network With Multilayer Perceptron
Robust Initialization of a Jordan Network With Recurrent Constrained Learning
Insights Into the Robustness of Minimum Error Entropy Estimation
An Optimal Algorithm for the Stochastic Bandits While Knowing the Near-Optimal Mean Reward
Finite-Horizon $l_2-l_\infty$ Synchronization for Time-Varying Markovian Jump Neural Networks Under Mixed-Type Attacks: Observer-Based Case
Factor Analysis of Auto-Associative Neural Networks With Application in Speaker Verification
A Nonlinear Noise-Resistant Zeroing Neural Network Model for Solving Time-Varying Quaternion Generalized Lyapunov Equation and Applications to Color Image Processing
Compound Rank-k Projections for Bilinear Analysis
Forecasting volatility with neural regression: A contribution to model adequacy
Long-Term Fairness for Real-Time Decision Making: A Constrained Online Optimization Approach
A Triple-Double Convolutional Neural Network for Panchromatic Sharpening
Hybrid Multiobjective Evolutionary Design for Artificial Neural Networks
Efficient Learning of Transform-Domain LMS Filter Using Graph Laplacian
Dictionary Learning With Low-Rank Coding Coefficients for Tensor Completion
Spatiotemporal Sequence Prediction With Point Processes and Self-Organizing Decision Trees
Sparse Model Identification Using a Forward Orthogonal Regression Algorithm Aided by Mutual Information
Distributed Actor-Critic Algorithms for Multiagent Reinforcement Learning Over Directed Graphs
Network information criterion-determining the number of hidden units for an artificial neural network model
Variational Inference and Learning of Piecewise Linear Dynamical Systems
Digital implementation of hierarchical vector quantization
A smart pixel-based feedforward neural network
A Bi-Criteria Active Learning Algorithm for Dynamic Data Streams
Output Feedback Control of Micromechanical Gyroscopes Using Neural Networks and Disturbance Observer
A Jump-Gain Integral Recurrent Neural Network for Solving Noise-Disturbed Time-Variant Nonlinear Inequality Problems
Neural Network Compression Based on Tensor Ring Decomposition
The Heidelberg Spiking Data Sets for the Systematic Evaluation of Spiking Neural Networks
Guest Editorial: Special Issue on Graph Learning
GLCONet: Learning Multisource Perception Representation for Camouflaged Object Detection
iCVI-ARTMAP: Using Incremental Cluster Validity Indices and Adaptive Resonance Theory Reset Mechanism to Accelerate Validation and Achieve Multiprototype Unsupervised Representations
Data-Driven Dynamic Multiobjective Optimal Control: An Aspiration-Satisfying Reinforcement Learning Approach
Synchronization of Inertial Neural Networks With Time-Varying Delays via Quantized Sampled-Data Control
A categorizing associative memory using an adaptive classifier and sparse coding
Segmenting Objects in Day and Night: Edge-Conditioned CNN for Thermal Image Semantic Segmentation
Approximate reconstruction of PET data with a self-organizing neural network
Transductive Parameter-Free Propagation Framework for Few-Shot Distribution Rectification
Self-Organization in a Parametrically Coupled Logistic Map Network: A Model for Information Processing in the Visual Cortex
Optimal Impulsive Control Using Adaptive Dynamic Programming and its Application in Spacecraft Rendezvous
Tree Broad Learning System for Small Data Modeling
Online learning control by association and reinforcement
Neurocontrol of nonlinear dynamical systems with Kalman filter trained recurrent networks
Distributed Model-Free Adaptive Control for Learning Nonlinear MASs Under DoS Attacks
Multimodal Correlation-Aware Fusion Framework for Enhanced Machinery Health Prognosis With Unlabeled and Low-Quality Data Exploitation
Learning From Architectural Redundancy: Enhanced Deep Supervision in Deep Multipath Encoder-Decoder Networks
Classification of freeway traffic patterns for incident detection using constructive probabilistic neural networks
Intelligent Fault Diagnosis of Gearbox Under Variable Working Conditions With Adaptive Intraclass and Interclass Convolutional Neural Network
Adversarial Examples: Opportunities and Challenges
Enhancing Session-Based Recommendation With Multi-Interest Hyperbolic Representation Networks
L 1 -Norm Low-Rank Matrix Factorization by Variational Bayesian Method
An Efficient Method for Modeling Nonoccurring Behaviors by Negative Sequential Patterns With Loose Constraints
Deep Inception-Residual Laplacian Pyramid Networks for Accurate Single-Image Super-Resolution
Sentiment Analysis: Comprehensive Reviews, Recent Advances, and Open Challenges
Graph Information Aggregation Cross-Domain Few-Shot Learning for Hyperspectral Image Classification
Adaptive Iterative Learning Control for Linear Systems With Binary-Valued Observations
Self-Supervised Deep Multiview Spectral Clustering
Deterministic Learning and Rapid Dynamical Pattern Recognition
On reducing learning time in context-dependent mappings
Global Asymptotical Stability of Recurrent Neural Networks With Multiple Discrete Delays and Distributed Delays
Extended Dissipative Analysis for Neural Networks With Time-Varying Delays
Convex Formulation for Kernel PCA and Its Use in Semisupervised Learning
Novel direct and self-regulating approaches to determine optimum growing multi-experts network structure
Multistability of Neural Networks With Mexican-Hat-Type Activation Functions
A real-time neural system for color constancy
Cascaded Correlation Refinement for Robust Deep Tracking
Learning to Predict Eye Fixations via Multiresolution Convolutional Neural Networks
Verbal-Person Nets: Pose-Guided Multi-Granularity Language-to-Person Generation
Set-Membership State Estimation for Multirate Nonlinear Complex Networks Under FlexRay Protocols: A Neural-Network-Based Approach
Multisource Transfer Double DQN Based on Actor Learning
ArmBCIsys: Robot Arm BCI System With Time-Frequency Network for Multiobject Grasping
A ParaBoost Method to Image Quality Assessment
PS-Net: A Learning Strategy for Accurately Exposing the Professional Photoshop Inpainting
CCP-GNN: Competitive Covariance Pooling for Improving Graph Neural Networks
On the problem of correspondence in range data and some inelastic uses for elastic nets
Hyperseed: Unsupervised Learning With Vector Symbolic Architectures
Classification and Recall With Binary Hyperdimensional Computing: Tradeoffs in Choice of Density and Mapping Characteristics
Code-Aligned Autoencoders for Unsupervised Change Detection in Multimodal Remote Sensing Images
Finite-/Fixed-Time Synchronization of Delayed Coupled Discontinuous Neural Networks With Unified Control Schemes
Learning to Map Social Network Users by Unified Manifold Alignment on Hypergraph
SSGCNet: A Sparse Spectra Graph Convolutional Network for Epileptic EEG Signal Classification
Hyperellipsoidal Statistical Classifications in a Reproducing Kernel Hilbert Space
New WTOD Protocol-Based Fault Detection Filter Design for Interval Type-2 Fuzzy Systems via an Adaptive Differential Evolution Algorithm
Constructive neural-network learning algorithms for pattern classification
Tiny Machine Learning for Concept Drift
GraphHop: An Enhanced Label Propagation Method for Node Classification
A new wide range Euclidean distance circuit for neural network hardware implementations
Realizing Data Features by Deep Nets
The application of certainty factors to neural computing for rule discovery
The GroupMax Neural Network Approximation of Convex Functions
Fast Kronecker Product Kernel Methods via Generalized Vec Trick
Convergence of Cyclic and Almost-Cyclic Learning With Momentum for Feedforward Neural Networks
Clustered Nyström method for large scale manifold learning and dimension reduction
Principal feature classification
Asymptotic stability criteria for a two-neuron network with different time delays
Discriminative Multi-View Dynamic Image Fusion for Cross-View 3-D Action Recognition
Regularization Effect of Random Node Fault/Noise on Gradient Descent Learning Algorithm
Financial time series prediction using least squares support vector machines within the evidence framework
Dynamics of Learning in Multilayer Perceptrons Near Singularities
Shape indexing using self-organizing maps
Prescribed Performance Model-Free Adaptive Integral Sliding Mode Control for Discrete-Time Nonlinear Systems
Point Cloud Registration-Driven Robust Feature Matching for 3-D Siamese Object Tracking
Single Hidden Layer Neural Networks With Random Weights Based on Nondifferentiable Functions
Where Computation and Dynamics Meet: Heteroclinic Network-Based Controllers in Evolutionary Robotics
Generalization, discrimination, and multiple categorization using adaptive resonance theory
Fast Unsupervised Projection for Large-Scale Data
Competitive Learning With Pairwise Constraints
Local-Global Memory Neural Network for Medication Prediction
A single 1.5-V digital chip for a 10 6 synapse neural network
Toward Efficient Convolutional Neural Networks With Structured Ternary Patterns
A Correlation-Test-Based Validation Procedure for Identified Neural Networks
Learning vector quantization for the probabilistic neural network
Approximation bounds for smooth functions in C(R d ) by neural and mixture networks
Function Perturbation Impact on Feedback Stabilization of Boolean Control Networks
Automated labeling for unsupervised neural networks: a hierarchical approach