yusuke1997/dblp-id-title huggingface dataset:
Federated Learning With Only Positive Labels by Exploring Label Correlations
Real-Time Model Predictive Control Using a Self-Organizing Neural Network
Hierarchical Image Segmentation Using Correlation Clustering
Robust Integral of Neural Network and Error Sign Control of MIMO Nonlinear Systems
Shortcomings/Limitations of Blockwise Granger Causality and Advances of Blockwise New Causality
Latent Topic Text Representation Learning on Statistical Manifolds
Stochastic Stability of Delayed Neural Networks With Local Impulsive Effects
Exploiting Retraining-Based Mixed-Precision Quantization for Low-Cost DNN Accelerator Design
Implementation of an RBF neural network on embedded systems: real-time face tracking and identity verification
Event-Triggered Optimal Control With Performance Guarantees Using Adaptive Dynamic Programming
Adaptive Hybrid Optimization Learning-Based Accurate Motion Planning of Multi-Joint Arm
Unsupervised Adaptive Embedding for Dimensionality Reduction
Adaptive Learning Control of Switched Strict-Feedback Nonlinear Systems With Dead Zone Using NN and DOB
Guarding Graph Neural Networks for Unsupervised Graph Anomaly Detection
Curved Geometric Networks for Visual Anomaly Recognition
Multistate Temporal Difference Target for Model-Free Reinforcement Learning
Complete memory structures for approximating nonlinear discrete-time mappings
Adaptive Finite-Time Command Filtered Controller Design for Nonlinear Systems With Output Constraints and Input Nonlinearities
Effective Emotion Recognition by Learning Discriminative Graph Topologies in EEG Brain Networks
Hyperspectral Blind Unmixing Using a Double Deep Image Prior
Attack Detection and Approximation in Nonlinear Networked Control Systems Using Neural Networks
Relaxed Stability Criteria for Neural Networks With Time-Varying Delay Using Extended Secondary Delay Partitioning and Equivalent Reciprocal Convex Combination Techniques
Online Nonconvex Robust Tensor Principal Component Analysis
Learning-Based Slip Detection for Dexterous Manipulation Using GelStereo Sensing
Fault Detection and Diagnosis of Induction Motors Using Motor Current Signature Analysis and a Hybrid FMM-CART Model
Fusion PCAM R-CNN of Automatic Segmentation for Magnetic Flux Leakage Defects
Nonlinear Process Fault Diagnosis Based on Serial Principal Component Analysis
An Adaptive NN-Based Approach for Fault-Tolerant Control of Nonlinear Time-Varying Delay Systems With Unmodeled Dynamics
Fine-Grained Image Classification via Low-Rank Sparse Coding With General and Class-Specific Codebooks
Refocus the Attention for Parameter-Efficient Thermal Infrared Object Tracking
Observer-Based Discrete-Time Nonnegative Edge Synchronization of Networked Systems
Deep Logic Networks: Inserting and Extracting Knowledge From Deep Belief Networks
A Scalable Projective Scaling Algorithm for l p Loss With Convex Penalizations
Harmonic analysis of homogeneous networks
Hyperspectral Image Fusion via a Novel Generalized Tensor Nuclear Norm Regularization
An Ensemble Broad Learning Scheme for Semisupervised Vehicle Type Classification
A Biologically Inspired Spiking Neural Network for Sound Source Lateralization
A Theoretical Insight Into the Effect of Loss Function for Deep Semantic-Preserving Learning
Sequential Labeling With Structural SVM Under Nondecomposable Losses
Structured Doubly Stochastic Graph-Based Clustering
A Calibrator Fuzzy Ensemble for Highly-Accurate Robot Arm Calibration
An energy function-based design method for discrete hopfield associative memory with attractive fixed points
Errata to "BYY harmony learning, independent state space, and generalized apt financial analyses"
Objective Function and Learning Algorithm for the General Node Fault Situation
Learning Constrained Dynamic Correlations in Spatiotemporal Graphs for Motion Prediction
Scene segmentation using neuromorphic oscillatory networks
A theoretical investigation into the performance of the Hopfield model
Cooperative Fault-Tolerant Output Regulation for Multiagent Systems by Distributed Learning Control Approach
BiCoSS: Toward Large-Scale Cognition Brain With Multigranular Neuromorphic Architecture
Adaptive Cardiac Resynchronization Therapy Device Based on Spiking Neurons Architecture and Reinforcement Learning Scheme
A Class of Complex ICA Algorithms Based on the Kurtosis Cost Function
Rethinking 3-D LiDAR Point Cloud Segmentation
Contrastive Multiview Attribute Graph Clustering With Adaptive Encoders
Scalable Algorithms for Multi-Instance Learning
Solving Dynamic Traveling Salesman Problems With Deep Reinforcement Learning
Guest Editorial Special Issue on Information Theoretic Learning
Evolutionarily Stable Strategy of Networked Evolutionary Games
RBFleX-NAS: Training-Free Neural Architecture Search Using Radial Basis Function Kernel and Hyperparameter Detection
Reinforcement Learning From Hierarchical Critics
Speech Enhancement Based on Nonlinear Models Using Particle Filters
Clustering via kernel decomposition
When Does Online BP Training Converge?
Impulsive Multisynchronization of Coupled Multistable Neural Networks With Time-Varying Delay
Prune-Able Fuzzy ART Neural Architecture for Robot Map Learning and Navigation in Dynamic Environments
Breaking Neural Reasoning Architectures With Metamorphic Relation-Based Adversarial Examples
Online Passive-Aggressive Active Learning for Trapezoidal Data Streams
Neural Modeling of Episodic Memory: Encoding, Retrieval, and Forgetting
Self-organizing network services with evolutionary adaptation
Adaptive Importance Sampling to Accelerate Training of a Neural Probabilistic Language Model
Learning With Coefficient-Based Regularized Regression on Markov Resampling
A Progressive Subnetwork Searching Framework for Dynamic Inference
Nonlinear control structures based on embedded neural system models
Enhanced Data-Driven Optimal Terminal ILC Using Current Iteration Control Knowledge
GCNs-Net: A Graph Convolutional Neural Network Approach for Decoding Time-Resolved EEG Motor Imagery Signals
Exploring Complicated Search Spaces With Interleaving-Free Sampling
Minimax design of neural net controllers for highly uncertain plants
Variable Binding for Sparse Distributed Representations: Theory and Applications
Dynamic Graph Guided Progressive Partial View-Aligned Clustering
Manifold Regularized Reinforcement Learning
Towards more practical average bounds on supervised learning
An Adaptive Deep Metric Learning Loss Function for Class-Imbalance Learning via Intraclass Diversity and Interclass Distillation
Attention in Natural Language Processing
Pruning algorithms-a survey
Consensus in Networks of Multiagents With Cooperation and Competition Via Stochastically Switching Topologies
Backstepping wavelet neural network control for indirect field-oriented induction motor drive
Distributed-information neural control: the case of dynamic routing in traffic networks
Synchronization of Switched Neural Networks With Communication Delays via the Event-Triggered Control
Beyond Message-Passing: Generalization of Graph Neural Networks via Feature Perturbation for Semi-Supervised Node Classification
Vision-Based Topological Mapping and Navigation With Self-Organizing Neural Networks
CPG Network Optimization for a Biomimetic Robotic Fish via PSO
On the analysis of a recurrent neural network for solving nonlinear monotone variational inequality problems
Attention-Like Multimodality Fusion With Data Augmentation for Diagnosis of Mental Disorders Using MRI
Rethinking Pan-Sharpening in Closed-Loop Regularization
A Multiobjective Sparse Feature Learning Model for Deep Neural Networks
Gradient calculations for dynamic recurrent neural networks: a survey
Deep Incomplete Multiview Clustering via Local and Global Pseudo-Label Propagation
Exponential Convergence of Primal-Dual Dynamics Under General Conditions and Its Application to Distributed Optimization
Independent component analysis of Gabor features for face recognition
A New Neural Dynamic Classification Algorithm
Linguistic Decision Making for Robot Route Learning
A Hybrid Residual Dilated LSTM and Exponential Smoothing Model for Midterm Electric Load Forecasting
Pinning Synchronization of Directed Coupled Reaction-Diffusion Neural Networks With Sampled-Data Communications
Robot Learning System Based on Adaptive Neural Control and Dynamic Movement Primitives
Adaptive Output Feedback Control of Flexible-Joint Robots Using Neural Networks: Dynamic Surface Design Approach
Deep Multiview Adaptive Clustering With Semantic Invariance
Playing the Lottery With Concave Regularizers for Sparse Trainable Neural Networks
Weighted Error Entropy-Based Information Theoretic Learning for Robust Subspace Representation
Generating an Adaptive and Robust Walking Pattern for a Prosthetic Ankle-Foot by Utilizing a Nonlinear Autoregressive Network With Exogenous Inputs
Sparse ℓ 1 - and ℓ 2 -Center Classifiers
Multiview Clustering via Unified and View-Specific Embeddings Learning
Adaptive Boundary Control for Synchronization of Reaction-Diffusion Neural Networks With Random Time-Varying Delay
On the Convergence of Multiplicative Update Algorithms for Nonnegative Matrix Factorization
Distributed Training for Multi-Layer Neural Networks by Consensus
Modality Perception Learning-Based Determinative Factor Discovery for Multimodal Fake News Detection
Rank-k 2-D Multinomial Logistic Regression for Matrix Data Classification
Limbic System-Inspired Performance-Guaranteed Control for Nonlinear Multi-Agent Systems With Uncertainties
Knowledge-Routed Visual Question Reasoning: Challenges for Deep Representation Embedding
Distributed Minmax Strategy for Multiplayer Games: Stability, Robustness, and Algorithms
Ensemble Prototype Network For Weakly Supervised Temporal Action Localization
Natural Language Statistical Features of LSTM-Generated Texts
A robust nonlinear identification algorithm using PRESS statistic and forward regression
Global Negative Correlation Learning: A Unified Framework for Global Optimization of Ensemble Models
Sparse Multivariate Gaussian Mixture Regression
Fault Diagnosis of Hydraulic Systems Based on Deep Learning Model With Multirate Data Samples
Graph Neural Networks on SPD Manifolds for Motor Imagery Classification: A Perspective From the Time-Frequency Analysis
Supervised Learning Using Spike-Timing-Dependent Plasticity of Memristive Synapses
Learning Algorithm for Boltzmann Machines With Additive Weight and Bias Noise
StateNet: Deep State Learning for Robust Feature Matching of Remote Sensing Images
A Dynamic Gain Fixed-Time Robust ZNN Model for Time-Variant Equality Constrained Quaternion Least Squares Problem With Applications to Multiagent Systems
Mining Recurring Concepts in a Dynamic Feature Space
Randomized algorithms for stability and robustness analysis of high-speed communication networks
A Principle Design of Registration-Fusion Consistency: Toward Interpretable Deep Unregistered Hyperspectral Image Fusion
Class-Level Logit Perturbation
Short-Term Residential Load Forecasting Framework Based on Spatial-Temporal Fusion Adaptive Gated Graph Convolution Networks
Few-Shot Anomaly Detection via Category-Agnostic Registration Learning
An Algorithm for Finding the Most Similar Given Sized Subgraphs in Two Weighted Graphs
Distributed EM Algorithm for Gaussian Mixtures in Sensor Networks
LU-Optimality Conditions in Optimization Problems With Mechanical Work Objective Functionals
Mining Non-Redundant Co-Location Patterns
Bilaterally Normalized Scale-Consistent Sinkhorn Distance for Few-Shot Image Classification
First-Spike-Based Visual Categorization Using Reward-Modulated STDP
DDCNet: Advanced Decoupling of Degradation and Content for Adverse Weather Image Restoration
User Identification Across Multiple Social Networks Based on Naive Bayes Model
Adaptive Propagation Graph Convolutional Network
Multiagent Trust Region Policy Optimization
Optimizing Top-k Multiclass SVM via Semismooth Newton Algorithm
Foveation by a pulse-coupled neural network
Transductive Face Sketch-Photo Synthesis
A support vector machine formulation to PCA analysis and its kernel version
Limitations of neural networks for solving traveling salesman problems
Learning to Aggregate Multi-Scale Context for Instance Segmentation in Remote Sensing Images
Blind Image Deconvolution Through Support Vector Regression
Ranked Centroid Projection: A Data Visualization Approach With Self-Organizing Maps
Transfer Learning Algorithm With Knowledge Division Level
Sign Prediction and Volatility Dynamics With Hybrid Neurofuzzy Approaches
Object detection using pulse coupled neural networks
On the Role of Astroglial Syncytia in Self-Repairing Spiking Neural Networks
Rapid Sensor Fault Diagnosis for a Class of Nonlinear Systems via Deterministic Learning
Infinite Hidden Conditional Random Fields for Human Behavior Analysis
RadarFormer: End-to-End Human Perception With Through-Wall Radar and Transformers
MARML: Motif-Aware Deep Representation Learning in Multilayer Networks
Design of State-Dependent Switching Laws for Stability of Switched Stochastic Neural Networks With Time-Delays
Efficient Revised Simplex Method for SVM Training
A Robust Three-Way Classifier With Shadowed Granular Balls Based on Justifiable Granularity
Zero-Shot Learning With Attentive Region Embedding and Enhanced Semantics
Books in Brief
Multiclass Learning With Partially Corrupted Labels
Efficient Training of Supervised Spiking Neural Network via Accurate Synaptic-Efficiency Adjustment Method
Space Structure and Clustering of Categorical Data
Reinforcement Learning-Based Model-Free Controller for Feedback Stabilization of Robotic Systems
Custom Hardware Architectures for Deep Learning on Portable Devices: A Review
Diagonal recurrent neural networks for dynamic systems control
Multilabel Feature Selection via Shared Latent Sublabel Structure and Simultaneous Orthogonal Basis Clustering
Rival penalized competitive learning for clustering analysis, RBF net, and curve detection
Analysis and synthesis of a class of discrete-time neural networks with multilevel threshold neurons
PicSOM-self-organizing image retrieval with MPEG-7 content descriptors
Tuning Convolutional Spiking Neural Network With Biologically Plausible Reward Propagation
Spectral Super-Resolution via Model-Guided Cross-Fusion Network
CKDF-V2: Effectively Alleviating Representation Shift for Continual Learning With Small Memory
Acoustic-to-phonetic mapping using recurrent neural networks
Observability of Boolean Control Networks With State Time Delays
Learning Gaussian-Bernoulli RBMs Using Difference of Convex Functions Optimization
Progressive Stochastic Learning for Noisy Labels
Analysis of Fixed-Point and Coordinate Descent Algorithms for Regularized Kernel Methods
Multifeedback-Layer Neural Network
Fully Decoupled Neural Network Learning Using Delayed Gradients
DM-Fusion: Deep Model-Driven Network for Heterogeneous Image Fusion
Self-Supervised Self-Organizing Clustering Network: A Novel Unsupervised Representation Learning Method
Top- Partial Label Machine
Causal Feature Selection With Dual Correction
Unconstrained handwritten numeral recognition based on radial basis competitive and cooperative networks with spatio-temporal feature representation
Novel maximum-margin training algorithms for supervised neural networks
Density Distillation for Fast Nonparametric Density Estimation
MoNetV2: Enhanced Motion Network for Freehand 3-D Ultrasound Reconstruction
Observer-Based Output Feedback Event-Triggered Adaptive Control for Linear Multiagent Systems Under Switching Topologies
All fiber-optic neural network using coupled SOA based ring lasers
Network Together: Node Classification via Cross-Network Deep Network Embedding
Distributed Estimation of Support Vector Machines for Matrix Data
A fast U-D factorization-based learning algorithm with applications to nonlinear system modeling and identification
Neural-Dynamic-Method-Based Dual-Arm CMG Scheme With Time-Varying Constraints Applied to Humanoid Robots
Representative Task Self-Selection for Flexible Clustered Lifelong Learning
A novel approach to fault diagnosis in multicircuit transmission lines using fuzzy ARTmap neural networks
Optimal Switching and Control of Nonlinear Switching Systems Using Approximate Dynamic Programming
Adaptive Consensus Control of Nonlinear Multiagent Systems With Unknown Control Directions Under Stochastic Topologies
Non-Fragile H∞ Synchronization for Markov Jump Singularly Perturbed Coupled Neural Networks Subject to Double-Layer Switching Regulation
Stability of asymmetric Hopfield networks
ProtoCLIP: Prototypical Contrastive Language Image Pretraining
Blind multiuser detector for chaos-based CDMA using support vector machine
Neural Network Approaches for Noisy Language Modeling
Equivalence Probability and Sparsity of Two Sparse Solutions in Sparse Representation
Dictionary Learning-Based Subspace Structure Identification in Spectral Clustering
A Novel Topology Adaptation Strategy for Dynamic Sparse Training in Deep Reinforcement Learning
On Learning Label Noise Robust Networks via Regularization: A Topological View
Controlling chaos by GA-based reinforcement learning neural network
Multikernel Least Mean Square Algorithm
Game-Theoretic Inverse Reinforcement Learning: A Differential Pontryagin's Maximum Principle Approach
A Novel Framework for Learning Geometry-Aware Kernels
Actor-Critic Learning Control Based on ℓ 2 -Regularized Temporal-Difference Prediction With Gradient Correction
FuBay: An Integrated Fusion Framework for Hyperspectral Super-Resolution Based on Bayesian Tensor Ring
Local Coordinate Concept Factorization for Image Representation
Asynchronous Multiplex Communication Channels in 2-D Neural Network With Fluctuating Characteristics
A Stepwise Multivariate Granger Causality Method for Constructing Hierarchical Directed Brain Functional Network
Evolutionary Neural Architecture Search for Remote Sensing Image Classification
A CMOS binary pattern classifier based on Parzen's method
GBSVM: An Efficient and Robust Support Vector Machine Framework via Granular-Ball Computing
Packet Loss Rate Prediction Using the Sparse Basis Prediction Model
Walk-Steered Convolution for Graph Classification
Self-Organizing a Latent Hierarchy of Sketch Patterns for Controllable Sketch Synthesis
Fully Distributed Dynamic Event-Triggered Bipartite Formation Tracking for Multiagent Systems With Multiple Nonautonomous Leaders
Scalable and Parallel Deep Bayesian Optimization on Attributed Graphs
Analog neural network for support vector machine learning
Learning Sparse Kernel Classifiers for Multi-Instance Classification
Interpretable Cross-Modal Alignment Network for EEG Visual Decoding With Algorithm Unrolling
Fast Multiview Semi-Supervised Classification With Optimal Bipartite Graph
Extracting Rules From Neural Networks as Decision Diagrams
Integral Sliding Mode Fault-Tolerant Control for Uncertain Linear Systems Over Networks With Signals Quantization
Real-Time Keypoint Recognition Using Restricted Boltzmann Machine
A Deep Learning Approach to Competing Risks Representation in Peer-to-Peer Lending
Domain Generalization for Named Entity Boundary Detection via Metalearning
A complex mapping network for phase sensitive classification
Robustly Fitting and Forecasting Dynamical Data With Electromagnetically Coupled Artificial Neural Network: A Data Compression Method
Memory Attention Networks for Skeleton-Based Action Recognition
Rigorous a Posteriori Error Bounds for PDE-Defined PINNs
Iterative Gaussianization: From ICA to Random Rotations
Deep Reinforcement Learning for Cyber Security
The DSFPN, a new neural network for optical character recognition
Transductive Regression for Data With Latent Dependence Structure
ARISE: Graph Anomaly Detection on Attributed Networks via Substructure Awareness
An Efficient Representation-Based Method for Boundary Point and Outlier Detection
Passivity Analysis for Discrete-Time Stochastic Markovian Jump Neural Networks With Mixed Time Delays
Advanced search algorithms for information-theoretic learning with kernel-based estimators
Adaptive Control of Noncanonical Neural-Network Nonlinear Systems With Unknown Input Dead-Zone Characteristics
Online Multikernel Learning Method via Online Biconvex Optimization
Spectral Embedded Clustering: A Framework for In-Sample and Out-of-Sample Spectral Clustering
Gated Spiking Neural P Systems for Time Series Forecasting
Progressive Structure Preservation and Detail Refinement for Remote Sensing Single-Image Super-Resolution
Iterative Training Sample Augmentation for Enhancing Land Cover Change Detection Performance With Deep Learning Neural Network
On Mixed Data and Event Driven Design for Adaptive-Critic-Based Nonlinear H ∞ Control
Convergence Analysis of Saturated Iterative Learning Control Systems With Locally Lipschitz Nonlinearities
Generating and coding of fractal graphs by neural network and mathematical morphology methods
Iterative Learning Control for Output Tracking of Nonlinear Systems With Unavailable State Information
Robust Finite-Time Zeroing Neural Networks With Fixed and Varying Parameters for Solving Dynamic Generalized Lyapunov Equation
Exponential ϵ-regulation for multi-input nonlinear systems using neural networks
Machine Unlearning: Taxonomy, Metrics, Applications, Challenges, and Prospects
Deep Direct Reinforcement Learning for Financial Signal Representation and Trading
Security Versus Accuracy: Trade-Off Data Modeling to Safe Fault Classification Systems
Adaptive Method for Nonsmooth Nonnegative Matrix Factorization
Synchronization of Nonlinearly and Stochastically Coupled Markovian Switching Networks via Event-Triggered Sampling
Rollback Ensemble With Multiple Local Minima in Fine-Tuning Deep Learning Networks
A Cross-Domain Recommender System With Kernel-Induced Knowledge Transfer for Overlapping Entities
Neural Networks-Based Distributed Adaptive Control of Nonlinear Multiagent Systems
An Innovative Multisource Teacher Collaborative Framework for Self-Knowledge Distillation
On the efficiency of the orthogonal least squares training method for radial basis function networks
Learning to Model Graph Structural Information on MLPs via Graph Structure Self-Contrasting
Primal-Dual Fixed Point Algorithms Based on Adapted Metric for Distributed Optimization
GAMMA: Graph Attention Model for Multiple Agents to Solve Team Orienteering Problem With Multiple Depots
Learning Multi-Level Density Maps for Crowd Counting
Explicit Magnification Control of Self-Organizing Maps for "Forbidden" Data
Diverse Instance-Weighting Ensemble Based on Region Drift Disagreement for Concept Drift Adaptation
Distributed Optimal Attitude Synchronization Control of Multiple QUAVs via Adaptive Dynamic Programming
A unified approach to boundary perception: edges, textures, and illusory contours
A New Look and Convergence Rate of Federated Multitask Learning With Laplacian Regularization
Indirect adaptive control for synchronous Generator: comparison of MLP/RBF neural networks approach with Lyapunov stability analysis
Adaptive Graph Convolutional Network for Unsupervised Generalizable Tabular Representation Learning
A Universal Approximation Result for Difference of Log-Sum-Exp Neural Networks
Global convergence of delayed dynamical systems
Performing Feature Selection With Multilayer Perceptrons
Self-organizing maps for the skeletonization of sparse shapes
Training Reformulated Radial Basis Function Neural Networks Capable of Identifying Uncertainty in Data Classification
A Virtual-Label-Based Hierarchical Domain Adaptation Method for Time-Series Classification
Distributed Consensus Tracking for Multiple Uncertain Nonlinear Strict-Feedback Systems Under a Directed Graph
Semi-Supervised Detection Model Based on Adaptive Ensemble Learning for Medical Images
Feedforward sigmoidal networks - equicontinuity and fault-tolerance properties
Distributed Nash Equilibrium Seeking Dynamics With Discrete Communication
Coordination of Multiagents Interacting Under Independent Position and Velocity Topologies
Three-Stage Semisupervised Cross-Modal Hashing With Pairwise Relations Exploitation
Similarity-Agnostic Contrastive Learning With Alterable Self-Supervision
Identifying Autism Spectrum Disorder From Resting-State fMRI Using Deep Belief Network
Global optimization of a neural network-hidden Markov model hybrid
Self-calibration of a space robot