yusuke1997/dblp-id-title huggingface dataset:
Globality Meets Locality: An Anchor Graph Collaborative Learning Framework for Fast Multiview Subspace Clustering
Information Theoretic Subspace Clustering
Minimization of Fraction Function Penalty in Compressed Sensing
Analog CMOS implementation of a multilayer perceptron with nonlinear synapses
Bilinear Analysis for Kernel Selection and Nonlinear Feature Extraction
Sample-Based Neural Approximation Approach for Probabilistic Constrained Programs
Effects of kernel function on Nu support vector machines in extreme cases
Exponential H∞ synchronization of general discrete-time chaotic neural networks with or without time delays
Synchronization Rather Than Finite-Time Synchronization Results of Fractional-Order Multi-Weighted Complex Networks
A robust approach to independent component analysis of signals with high-level noise measurements
Laplacian Pyramid Neural Network for Dense Continuous-Value Regression for Complex Scenes
On the convergence of validity interval analysis
Formulating and Representing Multiagent Systems With Hypergraphs
Robust backstepping control of induction motors using neural networks
An inverse Hollis-Paulos artificial neural network
Adversarial Binary Mutual Learning for Semi-Supervised Deep Hashing
Position-Sensing Graph Neural Networks: Proactively Learning Nodes Relative Positions
Improving Uncertainty Quantification of Variance Networks by Tree-Structured Learning
Guest editorial special issue on intelligent multimedia processing
A Cost-Aware Utility-Maximizing Bidding Strategy for Auction-Based Federated Learning
Carrying Out CNN Channel Pruning in a White Box
Robust Finite-Time Stabilization of Fractional-Order Neural Networks With Discontinuous and Continuous Activation Functions Under Uncertainty
A symmetric linear neural network that learns principal components and their variances
A recurrent neural network for real-time semidefinite programming
Nearest-Neighbor Methods in Learning and Vision
Data-Driven Internal Model Learning Control for Nonlinear Systems
Distributed Complementary Binary Quantization for Joint Hash Table Learning
Rescaled Boosting in Classification
An Efficient Graph Learning System for Emotion Recognition Inspired by the Cognitive Prior Graph of EEG Brain Network
Memory-Event-Triggered Output Control of Neural Networks With Mixed Delays
Energy-Based Continuous Inverse Optimal Control
Comments on 'Bayes statistical behavior and valid generalization of pattern classifying neural networks' [with reply]
Code vector density in topographic mappings: Scalar case
Synaptic Scaling - An Artificial Neural Network Regularization Inspired by Nature
Backpropagation-Based Learning Techniques for Deep Spiking Neural Networks: A Survey
Adaptive Fuzzy Neural Network Control for a Constrained Robot Using Impedance Learning
Explicit Recursive and Adaptive Filtering in Reproducing Kernel Hilbert Spaces
Adaptive fuzzy c-shells clustering and detection of ellipses
Adaptive Gait Feature Learning Using Mixed Gait Sequence
Synchronization in Networks of Linearly Coupled Dynamical Systems via Event-Triggered Diffusions
Observer-Based Adaptive Neural Network Control for Nonlinear Systems in Nonstrict-Feedback Form
Abnormal Event Detection and Localization via Adversarial Event Prediction
Super-resolution of images based on local correlations
MVStream: Multiview Data Stream Clustering
What and Where: Learn to Plug Adapters via NAS for Multidomain Learning
Sparsity-Aware Distributed Learning for Gaussian Processes With Linear Multiple Kernel
Secure State Estimation for Artificial Neural Networks With Unknown-But-Bounded Noises: A Homomorphic Encryption Scheme
MEOL: A Maximum-Entropy Framework for Options Learning
Reduced-Order Neural Network Synthesis With Robustness Guarantees
DSE-Based Hardware Trojan Attack for Neural Network Accelerators on FPGAs
Nonlinear Model Predictive Control Based on a Self-Organizing Recurrent Neural Network
Quantized Kernel Recursive Least Squares Algorithm
HCL: A Hierarchical Contrastive Learning Framework for Zero-Shot Relation Extraction
Global Asymptotic Stability for Delayed Neural Networks Using an Integral Inequality Based on Nonorthogonal Polynomials
A Path-Integral-Based Reinforcement Learning Algorithm for Path Following of an Autoassembly Mobile Robot
LMI Conditions for Global Stability of Fractional-Order Neural Networks
Conventional modeling of the multilayer perceptron using polynomial basis functions
Population-Based Hyperparameter Tuning With Multitask Collaboration
A learning law for density estimation
Chest X-Ray Visual Saliency Modeling: Eye-Tracking Dataset and Saliency Prediction Model
Segmented-Memory Recurrent Neural Networks
Guest Editorial Special Section on Learning in Non-(geo)metric Spaces
Enhanced Robot Speech Recognition Using Biomimetic Binaural Sound Source Localization
Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy
Virtual Guidance-Based Coordinated Tracking Control of Multi-Autonomous Underwater Vehicles Using Composite Neural Learning
Improved delay-dependent stability condition of discrete recurrent neural networks with time-varying delays
Adaptive Neural Fixed-Time Tracking Control for High-Order Nonlinear Systems
Exactly Robust Kernel Principal Component Analysis
Neuro-Adaptive Force/Position Control With Prescribed Performance and Guaranteed Contact Maintenance
Inverse RL Scene Dynamics Learning for Nonlinear Predictive Control in Autonomous Vehicles
Fast Sparse Discriminative K-Means for Unsupervised Feature Selection
Deep Attention-Based Imbalanced Image Classification
Achieving the Social Optimum in a Nonconvex Cooperative Aggregative Game: A Distributed Stochastic Annealing Approach
Orthogonal Capsule Networks With Positional Information Preservation and Lightweight Feature Learning
Convergence analysis of canonical genetic algorithms
Statistical multimodal integration for audio-visual speech processing
Knowledge Verification From Data
Lag Synchronization of Switched Neural Networks via Neural Activation Function and Applications in Image Encryption
Status-Aware Signed Heterogeneous Network Embedding With Graph Neural Networks
Analysis and Simulation of a Mixed-Mode Neuron Architecture for Sensor Conditioning
Study of a Fast Discriminative Training Algorithm for Pattern Recognition
Equivalence between RAM-based neural networks and probabilistic automata
Analog implementation of ANN with inherent quadratic nonlinearity of the synapses
HQG-Net: Unpaired Medical Image Enhancement With High-Quality Guidance
Discriminating Tensor Spectral Clustering for High-Dimension-Low-Sample-Size Data
A computational model of auditory selective attention
Adaptive Event-Triggered Time-Varying Output Bipartite Formation Containment of Multiagent Systems Under Directed Graphs
A Globally Convergent MC Algorithm With an Adaptive Learning Rate
Algorithms for accelerated convergence of adaptive PCA
Neural and Adaptive Systems: Fundamentals Through Simulations
MUSIC: Accelerated Convergence for Distributed Optimization With Inexact and Exact Methods
Classifier Ensemble Based on Multiview Optimization for High-Dimensional Imbalanced Data Classification
Uncertain Data Clustering in Distributed Peer-to-Peer Networks
Nearest Neighbor Multivariate Time Series Forecasting
Multi-Task Weakly-Supervised Attention Network for Dementia Status Estimation With Structural MRI
FedLSC: Improving Communication Efficiency and Robustness in Federated Learning With Stragglers and Adversaries
Designing multilayer perceptrons from nearest-neighbor systems
TeKo: Text-Rich Graph Neural Networks With External Knowledge
An Adaptive Weighted Metric Learning Network Based on Fractional Domain Decoupling for Hyperspectral Change Detection
Achieving Better Category Separability for Hyperspectral Image Classification: A Spatial-Spectral Approach
Multiclass From Binary: Expanding One-Versus-All, One-Versus-One and ECOC-Based Approaches
Shared Predictive Cross-Modal Deep Quantization
Distributed Generalized Nash Equilibrium Seeking Algorithm Design for Aggregative Games Over Weight-Balanced Digraphs
Graph-Graph Similarity Network
S3INet: Semantic-Information Space Sharing Interaction Network for Arbitrary Shape Text Detection
A Structurally Regularized CNN Architecture via Adaptive Subband Decomposition
Chain-Structure Echo State Network With Stochastic Optimization: Methodology and Application
Adaptive Boundary Iterative Learning Control for an Euler-Bernoulli Beam System With Input Constraint
Pinning Consensus in Networks of Multiagents via a Single Impulsive Controller
Efficient Online Stream Clustering Based on Fast Peeling of Boundary Micro-Cluster
QRNN: q -Generalized Random Neural Network
Theoretical analysis of evolutionary algorithms with an infinite population size in continuous space. Part I: Basic properties of selection and mutation
Cluster-Based Input Weight Initialization for Echo State Networks
Efficient Variants of Wasserstein Distance in Hyperbolic Space via Space-Filling Curve Projection
Self-Growing Binary Activation Network: A Novel Deep Learning Model With Dynamic Architecture
Deterministic bit-stream digital neurons
Partial-Neurons-Based Passivity-Guaranteed State Estimation for Neural Networks With Randomly Occurring Time Delays
Robust combination of neural networks and hidden Markov models for speech recognition
Memcomputing Numerical Inversion With Self-Organizing Logic Gates
Robust Actor-Critic With Relative Entropy Regulating Actor
Modeling of Complex-Valued Wiener Systems Using B-Spline Neural Network
Edge-Based Decentralized Adaptive Pinning Synchronization of Complex Networks Under Link Attacks
Event-Driven Spiking Learning Algorithm Using Aggregated Labels
A Practical Contrastive Learning Framework for Single-Image Super-Resolution
Online Regression for Data With Changepoints Using Gaussian Processes and Reusable Models
The analysis of decomposition methods for support vector machines
A New Approach to Descriptors Generation for Image Retrieval by Analyzing Activations of Deep Neural Network Layers
Robust Principal Component Analysis: A Median of Means Approach
Relaxation of the stability condition of the complex-valued neural networks
Diffusion Model-Based Path Follower for a Salamander-Like Robot
Adaptive Approximation-Based Regulation Control for a Class of Uncertain Nonlinear Systems Without Feedback Linearizability
A Maximally Split and Relaxed ADMM for Regularized Extreme Learning Machines
ECBC: Efficient Convolution via Blocked Columnizing
Confidence estimation methods for neural networks: a practical comparison
On Model of Recurrent Neural Network on a Time Scale: Exponential Convergence and Stability Research
Information Processing Capacity of a Single-Node Reservoir Computer: An Experimental Evaluation
Kinodynamic Motion Planning With Continuous-Time Q-Learning: An Online, Model-Free, and Safe Navigation Framework
Sparse Bayesian Learning With Weakly Informative Hyperprior and Extended Predictive Information Criterion
Multiview Uncorrelated Locality Preserving Projection
Learning Markov Blankets From Multiple Interventional Data Sets
The Diversity Bonus: Learning From Dissimilar Clients in Personalized Federated Learning
Keep and Select: Improving Hierarchical Context Modeling for Multi-Turn Response Generation
Symmetric Complex-Valued Hopfield Neural Networks
PSECMAC: A Novel Self-Organizing Multiresolution Associative Memory Architecture
A Bio-Inspired Spiking Attentional Neural Network for Attentional Selection in the Listening Brain
Multiagent Reinforcement Learning With Heterogeneous Graph Attention Network
Graph-in-Graph Convolutional Network for Hyperspectral Image Classification
Tensor-Factorized Neural Networks
Learning Nonsparse Kernels by Self-Organizing Maps for Structured Data
Modulated Hebb-Oja learning Rule-a method for principal subspace analysis
Variable Sampling Approach to Mitigate Instability in Networked Control Systems With Delays
A neural network with asymmetric basis functions for feature extraction of ECG P waves
Branches Mutual Promotion for End-to-End Weakly Supervised Semantic Segmentation
Multipattern Mining Using Pattern-Level Contrastive Learning and Multipattern Activation Map
Distributed Adaptive-Neural Finite-Time Consensus Control for Stochastic Nonlinear Multiagent Systems Subject to Saturated Inputs
Public Behavior and Emotion Correlation Mining Driven by Aspect From News Corpus
On Learning Navigation Behaviors for Small Mobile Robots With Reservoir Computing Architectures
An Energy-Efficient Bayesian Neural Network Implementation Using Stochastic Computing Method
On the choice of parameters of the cost function in nested modular RNN's
A Novel Unsupervised Feature Selection for High-Dimensional Data Based on FCM and k-Nearest Neighbor Rough Sets
Neural Network With a Preference Sampling Paradigm for Imbalanced Data Classification
A Training Data Set Cleaning Method by Classification Ability Ranking for the $k$ -Nearest Neighbor Classifier
Multiple $\psi$ -Type Stability of Cohen-Grossberg Neural Networks With Both Time-Varying Discrete Delays and Distributed Delays
MOOD: Leveraging Out-of-Distribution Data to Enhance Imbalanced Semi-Supervised Learning
Hypergraph Structural Information Aggregation Generative Adversarial Networks for Diagnosis and Pathogenetic Factors Identification of Alzheimer's Disease With Imaging Genetic Data
Improved Design for Hardware Implementation of Graph-Based Large Margin Classifiers for Embedded Edge Computing
Off-Policy Reinforcement Learning for Synchronization in Multiagent Graphical Games
Probabilistic Slow Features for Behavior Analysis
Using multithreshold quadratic sigmoidal neurons to improve classification capability of multilayer perceptrons
Online Blind Source Separation Using Incremental Nonnegative Matrix Factorization With Volume Constraint
Neural Improvement Heuristics for Graph Combinatorial Optimization Problems
Generalized regression neural networks in time-varying environment
A Novel Time-Series Memory Auto-Encoder With Sequentially Updated Reconstructions for Remaining Useful Life Prediction
Online Unsupervised Domain Adaptation via Reducing Inter- and Intra-Domain Discrepancies
Mapping Dynamic Bayesian Networks to Alpha -Shapes: Application to Human Faces Identification Across Ages
A General Wrapper Approach to Selection of Class-Dependent Features
Parallel Programmable Asynchronous Neighborhood Mechanism for Kohonen SOM Implemented in CMOS Technology
Improving CNN Performance Accuracies With Min-Max Objective
HB-DSBM: Modeling the Dynamic Complex Networks From Community Level to Node Level
Auditable and Verifiable Federated Learning Based on Blockchain-Enabled Decentralization
State Estimation for Markovian Jump Neural Networks Under Probabilistic Bit Flips: Allocating Constrained Bit Rates
Robust adaptive control of nonaffine nonlinear plants with small input signal changes
Prior Knowledge Regularized Multiview Self-Representation and its Applications
Computationally Efficient Data-Driven Higher Order Optimal Iterative Learning Control
A Low-Latency DNN Accelerator Enabled by DFT-Based Convolution Execution Within Crossbar Arrays
Cumulative Permuted Fractional Entropy and its Applications
Error Bounds of Adaptive Dynamic Programming Algorithms for Solving Undiscounted Optimal Control Problems
Adaptive Position/Attitude Tracking Control of Aerial Robot With Unknown Inertial Matrix Based on a New Robust Neural Identifier
Adaptive neural network control for a class of low-triangular-structured nonlinear systems
Multi-Constraint Latent Representation Learning for Prognosis Analysis Using Multi-Modal Data
GrDHP: A General Utility Function Representation for Dual Heuristic Dynamic Programming
Structured Deep Neural Network-Based Backstepping Trajectory Tracking Control for Lagrangian Systems
Deep Graph-Based Multimodal Feature Embedding for Endomicroscopy Image Retrieval
One-Nearest Neighborhood Guides Inlier Estimation for Unsupervised Point Cloud Registration
Fractal Few-Shot Learning
Generalized Halanay Inequalities and Their Applications to Neural Networks With Unbounded Time-Varying Delays
Construction of Deep ReLU Nets for Spatially Sparse Learning
An Empirical Study on Adaptive Inference for Pretrained Language Model
A neuro-fuzzy scheme for simultaneous feature selection and fuzzy rule-based classification
Neural Network-Based Motion Control of an Underactuated Wheeled Inverted Pendulum Model
Multiple Representations-Based Face Sketch-Photo Synthesis
Self-Supervised Enhancement for Named Entity Disambiguation via Multimodal Graph Convolution
Competitive Normalized Least-Squares Regression
IAUnet: Global Context-Aware Feature Learning for Person Reidentification
Improving the dynamic response of neural network controllers using velocity reference feedback
Faster Stochastic Quasi-Newton Methods
A Probabilistic Zero-Shot Learning Method via Latent Nonnegative Prototype Synthesis of Unseen Classes
Combining Low-Rank and Deep Plug-and-Play Priors for Snapshot Compressive Imaging
Parameter-Free Consensus Embedding Learning for Multiview Graph-Based Clustering
Novel Stability Analysis for Recurrent Neural Networks With Multiple Delays via Line Integral-Type L-K Functional
Constraint satisfaction adaptive neural network and heuristics combined approaches for generalized job-shop scheduling
REaMA: Building Biomedical Relation Extraction Specialized Large Language Models Through Instruction Tuning
A complete proof of global exponential convergence of a neural network for quadratic optimization with bound constraints
Intraoperative Hypotension Prediction Based on Features Automatically Generated Within an Interpretable Deep Learning Model
Modal Regression-Based Graph Representation for Noise Robust Face Hallucination
Efficient classification for multiclass problems using modular neural networks
A framework for improved training of Sigma-Pi networks
Learning From Human Demonstrations for Wheel Mobile Manipulator: An Unscented Model Predictive Control Approach
A note on self-organizing semantic maps
Hypernetwork-Based Physics-Driven Personalized Federated Learning for CT Imaging
Support vector machines for histogram-based image classification
On the distribution of performance from multiple neural-network trials
A Conclusive Analysis of the Finite-Time Behavior of the Discretized Pursuit Learning Automaton
Global Sensitivity Analysis Approach for Input Selection and System Identification Purposes - A New Framework for Feedforward Neural Networks
A Comprehensive Study on Self-Learning Methods and Implications to Autonomous Driving
Distributed Algorithms for Linear Equations Over General Directed Networks
A Comprehensive Survey on Graph Neural Networks
Neuroadaptive Fault-Tolerant Control of Nonlinear Systems Under Output Constraints and Actuation Faults
Guidance Through Surrogate: Toward a Generic Diagnostic Attack
Finite-Time Stabilization of Delayed Memristive Neural Networks: Discontinuous State-Feedback and Adaptive Control Approach
Symmetric Predictive Estimator for Biologically Plausible Neural Learning
Centroid neural network for unsupervised competitive learning
A Model for $R(t)$ Elements and $R(t)$ -Based Spike-Timing-Dependent Plasticity With Basic Circuit Examples
Almost Sure Exponential Stability of Recurrent Neural Networks With Markovian Switching
Beyond Pairwise Matching: Person Reidentification via High-Order Relevance Learning
Curvature Consistent Network for Microscope Chip Image Super-Resolution
Distributed Synchronization Control of Nonaffine Multiagent Systems With Guaranteed Performance
Synchronization of Delayed Neural Networks via Integral-Based Event-Triggered Scheme
Cluster Validation Method for Determining the Number of Clusters in Categorical Sequences
Mean-Square Synchronization of Additive Time-Varying Delayed Markovian Jumping Neural Networks Under Multiple Stochastic Sampling
MGML: Multigranularity Multilevel Feature Ensemble Network for Remote Sensing Scene Classification
Efficient Variant of Algorithm FastICA for Independent Component Analysis Attaining the CramÉr-Rao Lower Bound
Adaptive Neural Control of Pure-Feedback Nonlinear Systems With Event-Triggered Communications
Boosting Temporal Graph Learning From Perspectives of Global and Local Structures
Learning-Based DoS Attack Power Allocation in Multiprocess Systems
Toward Faithful Neural Network Intrinsic Interpretation With Shapley Additive Self-Attribution
Maximum Correntropy Criterion-Based Hierarchical One-Class Classification
Development of Quantum Local Potential Function Networks Based on Quantum Assimilation and Subspace Division
Analysis of the Initial Values in Split-Complex Backpropagation Algorithm
Point-to-Set Metric-Gated Mixture of Experts for Multisource Domain Adaptation Fault Diagnosis
Analog VLSI model of binaural hearing
Rethink, Revisit, Revise: A Spiral Reinforced Self-Revised Network for Zero-Shot Learning
CONE: Convex-Optimized-Synaptic Efficacies for Temporally Precise Spike Mapping
Exponential stability and periodic oscillatory solution in BAM networks with delays
Editorial: The Blossoming of the IEEE Transactions on Neural Networks
Neural-Network-Based Adaptive Event-Triggered Asymptotically Consensus Tracking Control for Nonlinear Nonstrict-Feedback MASs: An Improved Dynamic Surface Approach
Common asymptotic behavior of solutions and almost periodicity for discontinuous, delayed, and impulsive neural networks
A Minimum Resource Neural Network Framework for Solving Multiconstraint Shortest Path Problems
Novel Z-Domain Precoding Method for Blind Separation of Spatially Correlated Signals
Adaptive Decentralized Neural Network Tracking Control for Uncertain Interconnected Nonlinear Systems With Input Quantization and Time Delay
Parallelly Adaptive Graph Convolutional Clustering Model
Guaranteed convergence in a class of Hopfield networks
Scaling Up Graph-Based Semisupervised Learning via Prototype Vector Machines
A Reinforcement Learning Approach to Price Cloud Resources With Provable Convergence Guarantees
Unsupervised Hyperspectral and Multispectral Images Fusion Based on Nonlinear Variational Probabilistic Generative Model
Deep Semantic Multimodal Hashing Network for Scalable Image-Text and Video-Text Retrievals
Can backpropagation error surface not have local minima
Online Motor Fault Detection and Diagnosis Using a Hybrid FMM-CART Model
Robust Stability of Cohen-Grossberg Neural Networks via State Transmission Matrix
Hyperspectral Anomaly Detection With Tensor Average Rank and Piecewise Smoothness Constraints
Developmental Perception of the Self and Action
A Survey on Learning-Based Approaches for Modeling and Classification of Human-Machine Dialog Systems
Low Tensor-Ring Rank Completion by Parallel Matrix Factorization
An asynchronous distributed architecture model for the Boltzmann machine control mechanism
Spatiotemporal Graph Convolution Multifusion Network for Urban Vehicle Emission Prediction
Relaxed Asymmetric Deep Hashing Learning: Point-to-Angle Matching
Mixed-Delay-Based Augmented Functional for Sampled-Data Synchronization of Delayed Neural Networks With Communication Delay
Event-Triggered Synchronization of Multiple Fractional-Order Recurrent Neural Networks With Time-Varying Delays
Circuit Implementation and Quasi-Stabilization of Delayed Inertial Memristor-Based Neural Networks
Inverting the Generator of a Generative Adversarial Network
Binary Set Embedding for Cross-Modal Retrieval
Adaptive Iterative Learning Control of Multiple Autonomous Vehicles With a Time-Varying Reference Under Actuator Faults
Biomimetic Hybrid Feedback Feedforward Neural-Network Learning Control
Hierarchical Feature Selection for Random Projection
Acquiring rule sets as a product of learning in a logical neural architecture
Referring Image Segmentation With Fine-Grained Semantic Funneling Infusion
Heuristic Heterogeneous Graph Reasoning Networks for Fact Verification
Development of an Adaptive Artifact Subspace Reconstruction Based on Hebbian/Anti-Hebbian Learning Networks for Enhancing BCI Performance
MOCCA: Multilayer One-Class Classification for Anomaly Detection
On Low-Rank Directed Acyclic Graphs and Causal Structure Learning
Self-sustained irregular activity in 2-D small-world networks of excitatory and inhibitory neurons
Learning Speaker-Specific Characteristics With a Deep Neural Architecture