yusuke1997/dblp-id-title huggingface dataset:
Frequency-based multilayer neural network with on-chip learning and enhanced neuron characteristics
Remote Estimator Design for Time-Delay Neural Networks Using Communication State Information
Reservoir Memory Machines as Neural Computers
SpeGCL: Self-Supervised Graph Spectrum Contrastive Learning Without Positive Samples
Communication-Efficient and Resilient Distributed Q-Learning
Fusing images with different focuses using support vector machines
Adversarial Entropy Optimization for Unsupervised Domain Adaptation
Exploiting Web Images for Multi-Output Classification: From Category to Subcategories
Bounded Neural Network Control for Target Tracking of Underactuated Autonomous Surface Vehicles in the Presence of Uncertain Target Dynamics
Modular recurrent neural networks for Mandarin syllable recognition
Self-Supervised Motion Perception for Spatiotemporal Representation Learning
Multiple Convolutional Recurrent Neural Networks for Fault Identification and Performance Degradation Evaluation of High-Speed Train Bogie
Incremental training of support vector machines
Multiview Subgraph Neural Networks: Self-Supervised Learning With Scarce Labeled Data
Pairwise Constraint Propagation-Induced Symmetric Nonnegative Matrix Factorization
Policy Correction and State-Conditioned Action Evaluation for Few-Shot Lifelong Deep Reinforcement Learning
Maximum likelihood training of probabilistic neural networks
Passivity of Switched Recurrent Neural Networks With Time-Varying Delays
Fine Perceptive GANs for Brain MR Image Super-Resolution in Wavelet Domain
Stability criteria for unsupervised temporal association networks
SPD Manifold Deep Metric Learning for Image Set Classification
On the discrete-time dynamics of a class of self-stabilizing MCA extraction algorithms
Prescribed-Time Human-in-the-Loop Optimal Synchronization Control for Multiagent Systems Under DoS Attacks via Reinforcement Learning
A Fast Wang kWTA With Application in Sealed-Bid Uniform Price Auction
Semisupervised Learning Using Negative Labels
Linear time maximum margin clustering
Minimax and Biobjective Portfolio Selection Based on Collaborative Neurodynamic Optimization
STFormer: Spatial-Temporal-Aware Transformer for Video Instance Segmentation
Nonlinear adaptive trajectory tracking using dynamic neural networks
Pinning Impulsive Synchronization of Stochastic Delayed Neural Networks via Uniformly Stable Function
Incomplete-Data Oriented Multiview Dimension Reduction via Sparse Low-Rank Representation
Single-Image 3-D Reconstruction: Rethinking Point Cloud Deformation
Quaternion-Valued Nonlinear Adaptive Filtering
A Novel Value Iteration Scheme With Adjustable Convergence Rate
On Efficient Learning Machine With Root-Power Mean Neuron in Complex Domain
Improved Inference for Imputation-Based Semisupervised Learning Under Misspecified Setting
Position Fusing and Refining for Clear Salient Object Detection
A Deep One-Class Neural Network for Anomalous Event Detection in Complex Scenes
Delay-Based Reservoir Computing: Noise Effects in a Combined Analog and Digital Implementation
Kernel-Based Decentralized Policy Evaluation for Reinforcement Learning
Needs, Pains, and Motivations in Autonomous Agents
Efficient Online Learning Algorithms Based on LSTM Neural Networks
Learning Data Streams With Changing Distributions and Temporal Dependency
Convergence of Neural Networks for Programming Problems via a Nonsmooth Lojasiewicz Inequality
Assessing Generalization Ability of Majority Vote Point Classifiers
An extension of the standard mixture model for image segmentation
Matrix Neurodynamic Approaches for Rank Minimization: Finite/Fixed-Time Convergence Technique
Adaptive neural control for output feedback nonlinear systems using a barrier Lyapunov function
Survey of clustering algorithms
Comprehensive Production Index Prediction Using Dual-Scale Deep Learning in Mineral Processing
An analysis of the GLVQ algorithm
Online Bayesian Learning With Natural Sequential Prior Distribution
Biologically Inspired Intensity and Depth Image Edge Extraction
Asymptotic level density for a class of vector quantization processes
Policy Iteration Adaptive Dynamic Programming Algorithm for Discrete-Time Nonlinear Systems
Solving Nonlinear Equality Constrained Multiobjective Optimization Problems Using Neural Networks
Multi-View Subspace Clustering via Structured Multi-Pathway Network
Robust Bilinear Probabilistic PCA Using a Matrix Variate t Distribution
Semisupervised Learning Using Bayesian Interpretation: Application to LS-SVM
Multicluster Class-Balanced Ensemble
Synchronization for the Realization-Dependent Probabilistic Boolean Networks
Semisupervised Kernel Matrix Learning by Kernel Propagation
A Memristive Multilayer Cellular Neural Network With Applications to Image Processing
On the use of separable Volterra networks to model discrete-time Volterra systems
Quantized Attention-Gated Kernel Reinforcement Learning for Brain-Machine Interface Decoding
Dual-Space Contrastive Learning for Open-World Semi-Supervised Classification
Large-Cone Nonnegative Matrix Factorization
Hierarchical Set-to-Set Representation for 3-D Cross-Modal Retrieval
Robust Corrupted Data Recovery and Clustering via Generalized Transformed Tensor Low-Rank Representation
Co-Exploring Structured Sparsification and Low-Rank Tensor Decomposition for Compact DNNs
Distortion tolerant pattern recognition based on self-organizing feature extraction
Semisupervised Feature Selection via Generalized Uncorrelated Constraint and Manifold Embedding
Federated Graph Anomaly Detection via Contrastive Self-Supervised Learning
Mind Reasoning Manners: Enhancing Type Perception for Generalized Zero-Shot Logical Reasoning Over Text
An Efficient Sparse Bayesian Learning Algorithm Based on Gaussian-Scale Mixtures
An Efficient Memristor-Based Circuit Implementation of Squeeze-and-Excitation Fully Convolutional Neural Networks
Learning capability and storage capacity of two-hidden-layer feedforward networks
Learning Rate for Convex Support Tensor Machines
Adaptive Neural Control of Nonlinear MIMO Systems With Time-Varying Output Constraints
Metro Passenger-Flow Representation via Dynamic Mode Decomposition and Its Application
Cluster number selection for a small set of samples using the Bayesian Ying-Yang model
Multiarmed Bandit Algorithms on Zynq System-on-Chip: Go Frequentist or Bayesian?
Robotic Manipulation in Dynamic Scenarios via Bounding-Box-Based Hindsight Goal Generation
Performance of the Alex AVX-2 MIMD architecture in learning the NetTalk database
Pattern-Based NN Control of a Class of Uncertain Nonlinear Systems
Hyperbolic Hopfield Neural Networks
TMLNN: triple-valued or multiple-valued logic neural network
Toward Certified Robustness of Distance Metric Learning
Finite-Time Neural Network-Based Hierarchical Sliding Mode Antiswing Control for Underactuated Dual Ship-Mounted Cranes With Unmatched Sea Wave Disturbances Suppression
H ∞ Static Output-Feedback Control Design for Discrete-Time Systems Using Reinforcement Learning
Generalization Analysis of CNNs for Classification on Spheres
Transfer Ordinal Label Learning
Diversified Regularization Enhanced Training for Effective Manipulator Calibration
Self-organizing nets for optimization
Output-Feedback Robust Control of Uncertain Systems via Online Data-Driven Learning
Dealing With the Issues Crucially Related to the Functionality and Reliability of NN-Associated Control for Nonlinear Uncertain Systems
Cooperative Output Regulation for Linear Multiagent Systems via Distributed Fixed-Time Event-Triggered Control
Using adaline neural network for performance improvement of smart antennas in TDD wireless communications
Constrained Clustering With Nonnegative Matrix Factorization
Detection of Backdoors in Trained Classifiers Without Access to the Training Set
Simultaneous Spectral Data Embedding and Clustering
Approximating the maximum weight clique using replicator dynamics
Neural Adaptive Control Technology [Books in Brief]
Reconciling Attribute and Structural Anomalies for Improved Graph Anomaly Detection
A Study on Truncated Newton Methods for Linear Classification
Multitarget Sparse Latent Regression
A Locally Weighted Project Regression Approach-Aided Nonlinear Constrained Tracking Control
Deep Into the Domain Shift: Transfer Learning Through Dependence Regularization
Asymptotic Stability of Delayed Boolean Networks With Random Data Dropouts
Semisupervised Negative Correlation Learning
Local-Global Structure-Aware Geometric Equivariant Graph Representation Learning for Predicting Protein-Ligand Binding Affinity
Communication-Efficient and Collision-Free Motion Planning of Underwater Vehicles via Integral Reinforcement Learning
When Sparse Neural Network Meets Label Noise Learning: A Multistage Learning Framework
Optimal solutions for cellular neural networks by paralleled hardware annealing
Query-based learning applied to partially trained multilayer perceptrons
Unsupervised Domain-Adaptive Object Detection via Localization Regression Alignment
Comments on "Constructive learning of recurrent neural networks: limitations of recurrent cascade correlation and a simple solution"
Computing with phase locked loops: choosing gains and delays
Improving EEG Decoding via Clustering-Based Multitask Feature Learning
Stability Analysis of Markovian Jumping Stochastic Cohen-Grossberg Neural Networks With Mixed Time Delays
Comments on "Theoretical analysis of evolutionary algorithms with an infinite population size in continuous space. I. Basic properties of selection and mutation" [and reply]
A Variable-Parameter Noise-Tolerant Zeroing Neural Network for Time-Variant Matrix Inversion With Guaranteed Robustness
Learning Improvement Heuristics for Solving Routing Problems
Prescribed Performance Path-Following Control for Rotor-Assisted Vehicles via an Improved Reinforcement Learning Mechanism
Vertebrae Labeling via End-to-End Integral Regression Localization and Multi-Label Classification Network
Overcoming Long-Term Catastrophic Forgetting Through Adversarial Neural Pruning and Synaptic Consolidation
Probabilistic neural-network structure determination for pattern classification
Generalized Nash Equilibrium Seeking for Noncooperative Game With Different Monotonicities by Adaptive Neurodynamic Algorithm
A Switching Approach to Designing Finite-Time Synchronization Controllers of Coupled Neural Networks
Efficient Implementation of the Backpropagation Algorithm in FPGAs and Microcontrollers
Decoupled Unbiased Teacher for Source-Free Domain Adaptive Medical Object Detection
Adaptive Neural Control for Robotic Manipulators With Output Constraints and Uncertainties
Characteristics of the Hopfield associative memory utilizing isomorphism relations
Fault Detection of Urban Wastewater Treatment Process Based on Combination of Deep Information and Transformer Network
Synchronous Spatiotemporal Graph Transformer: A New Framework for Traffic Data Prediction
Temporal-Interim Pose Synthesis and Distillation for Dynamic Human Pose Estimation
Image-Based Visual Servoing of Manipulators With Unknown Depth: A Recurrent Neural Network Approach
Multi-Instance Nonparallel Tube Learning
DLCNN: A Deep Logic Convolutional Network for Interpretable Fault Diagnosis of Hoist Mechanism on Ship-to-Shore Cranes
Spiking Adaptive Dynamic Programming Based on Poisson Process for Discrete-Time Nonlinear Systems
A Hierarchical Distributed Data-Driven Adaptive Learning Control for Nonaffine Nonlinear MASs
Bayes statistical behavior and valid generalization of pattern classifying neural networks
Distilling a Powerful Student Model via Online Knowledge Distillation
Learning Convolutional Sparse Coding on Complex Domain for Interferometric Phase Restoration
Properties and Performance of Imperfect Dual Neural Network-Based k WTA Networks
Improving Sparsity and Scalability in Regularized Nonconvex Truncated-Loss Learning Problems
Using additive noise in back-propagation training
Large-Scale Metric Learning: A Voyage From Shallow to Deep
Incremental PID Controller-Based Learning Rate Scheduler for Stochastic Gradient Descent
Synchronization on Complex Networks of Networks
On the Working Principle of the Hopfield Neural Networks and its Equivalence to the GADIA in Optimization
A Generalized Nesterov-Accelerated Second-Order Latent Factor Model for High-Dimensional and Incomplete Data
Hybrid intelligent systems for time series prediction using neural networks, fuzzy logic, and fractal theory
Efficient Multispike Learning for Spiking Neural Networks Using Probability-Modulated Timing Method
Mode Hypergraph Neural Network
Multiple Structure-View Learning for Graph Classification
Feature Selection Boosted by Unselected Features
A high-performance neural network for solving linear and quadratic programming problems
Absolute Exponential Stability of Recurrent Neural Networks With Generalized Activation Function
Stability Analysis of Genetic Regulatory Networks With Switching Parameters and Time Delays
Actor-Critic-Based Optimal Tracking for Partially Unknown Nonlinear Discrete-Time Systems
PreCNet: Next-Frame Video Prediction Based on Predictive Coding
Multitask Learning and Reinforcement Learning for Personalized Dialog Generation: An Empirical Study
Tensor Robust Kernel PCA for Multidimensional Data
Fast Multiview Clustering by Optimal Graph Mining
Web content management by self-organization
Extracting semantics from audio-visual content: the final frontier in multimedia retrieval
Continual Learning Using Bayesian Neural Networks
An efficient parameterization of dynamic neural networks for nonlinear system identification
Locality-Preserved Maximum Information Projection
Generic Neural Locomotion Control Framework for Legged Robots
Existence and uniqueness results for neural network approximations
Nonlinear blind equalization schemes using complex-valued multilayer feedforward neural networks
Cross-Scene Joint Classification of Multisource Data With Multilevel Domain Adaption Network
Combination of Transferable Classification With Multisource Domain Adaptation Based on Evidential Reasoning
Variational Bayesian Approach to Canonical Correlation Analysis
Visual Commonsense-Aware Representation Network for Video Captioning
Neural data fusion algorithms based on a linearly constrained least square method
A Hybrid Neurogenetic Approach for Stock Forecasting
Meta-Modulation: A General Learning Framework for Cross-Task Adaptation
Multistability of Switched Neural Networks With Gaussian Activation Functions Under State-Dependent Switching
A Novel Supertwisting Zeroing Neural Network With Application to Mobile Robot Manipulators
PMSGAN: Parallel Multistage GANs for Face Image Translation
Twenty Years of Mixture of Experts
The hysteretic Hopfield neural network
Position-Aware Relational Transformer for Knowledge Graph Embedding
Dual Consistency Constraint-Based Self-Supervised Representation Learning for Heterogeneous Graphs With Missing Attributes
Structural Minimax Probability Machine
Optimization neural network for solving flow problems
Smoothing Neural Network for Constrained Non-Lipschitz Optimization With Applications
On the Generalization Ability of Online Gradient Descent Algorithm Under the Quadratic Growth Condition
Information geometry of Boltzmann machines
Projection-Based Adaptive Neurocontrol With Switching Logic Deadzone Tuning
Stochastic Training of Neural Networks via Successive Convex Approximations
Short Sequence Classification Through Discriminable Linear Dynamical System
Robust Low-Rank Tensor Recovery With Regularized Redescending M-Estimator
Spatio-Temporal Interpolated Echo State Network for Meteorological Series Prediction
Real-time speech-driven face animation with expressions using neural networks
Coupled Memristor Oscillators for Neuromorphic Locomotion Control: Modeling and Analysis
Neural Network Output-Feedback Consensus Fault-Tolerant Control for Nonlinear Multiagent Systems With Intermittent Actuator Faults
Relaxed Fault-Tolerant Hardware Implementation of Neural Networks in the Presence of Multiple Transient Errors
Improved computation for Levenberg-Marquardt training
A Framework for Large-Scale Synthetic Graph Dataset Generation
An Adaptive-PSO-Based Self-Organizing RBF Neural Network
Critical Path-Based Backdoor Detection for Deep Neural Networks
Continual Learning With Unknown Task Boundary
Consensus of Stochastic Dynamical Multiagent Systems in Directed Networks via PI Protocols
Finding Optimal Paths Using Networks Without Learning - Unifying Classical Approaches
Backpropagation With $N$ -D Vector-Valued Neurons Using Arbitrary Bilinear Products
Searching for optimal frame patterns in an integrated TDMA communication system using mean field annealing
On the local minima free condition of backpropagation learning
An improved radial basis function network for visual autonomous road following
Distributed Stochastic Proximal Algorithm With Random Reshuffling for Nonsmooth Finite-Sum Optimization
Performance Analysis and Applications of Finite-Time ZNN Models With Constant/Fuzzy Parameters for TVQPEI
Spike Attention Coding for Spiking Neural Networks
Discrete-time backpropagation for training synaptic delay-based artificial neural networks
SGB-Net: Scalable Graph Broad Network
Training DCNN by Combining Max-Margin, Max-Correlation Objectives, and Correntropy Loss for Multilabel Image Classification
Stable neural-network-based adaptive control for sampled-data nonlinear systems
Variational Multiple-Instance Learning With Embedding Correlation Modeling for Hyperspectral Target Detection
The Cubic Dynamic Uncertain Causality Graph: A Methodology for Temporal Process Modeling and Diagnostic Logic Inference
Complementary Memtransistor-Based Multilayer Neural Networks for Online Supervised Learning Through (Anti-)Spike-Timing-Dependent Plasticity
Identification of complex shapes using a self organizing neural system
Fuzzy-Neural-Network Inherited Sliding-Mode Control for Robot Manipulator Including Actuator Dynamics
Selective retrieval of memory and concept sequences through neuro-windows
An instance of coincidence detection architecture relying on temporal coding
Effect of Input Noise and Output Node Stochastic on Wang's kWTA
Fault Detection and Diagnosis Based on Modeling and Estimation Methods
Knowledge-Driven Deep Unrolling for Robust Image Layer Separation
Cost-Sensitive Sequences of Bregman Divergences
Neural networks designed on approximate reasoning architecture and their applications
Estimator Design for Discrete-Time Switched Neural Networks With Asynchronous Switching and Time-Varying Delay
Descriptor Learning via Supervised Manifold Regularization for Multioutput Regression
UniHead: Unifying Multi-Perception for Detection Heads
Efficient Hybrid Training Method for Neuromorphic Hardware Using Analog Nonvolatile Memory
Blind extraction of singularly mixed source signals
Recursive dynamic node creation in multilayer neural networks
Channel-Aware Decoupling Network for Multiturn Dialog Comprehension
The Symplectic Adjoint Method: Memory-Efficient Backpropagation of Neural-Network-Based Differential Equations
Coupled Multimodal Emotional Feature Analysis Based on Broad-Deep Fusion Networks in Human-Robot Interaction
A new digital pulse-mode neuron with adjustable activation function
Adaptive Actor-Critic Design-Based Integral Sliding-Mode Control for Partially Unknown Nonlinear Systems With Input Disturbances
Gradient Monitored Reinforcement Learning
EDP: An Efficient Decomposition and Pruning Scheme for Convolutional Neural Network Compression
Adaptive neural control for a class of nonlinearly parametric time-delay systems
Domain Adaptation via Prompt Learning
Dual Attention-Based Encoder-Decoder: A Customized Sequence-to-Sequence Learning for Soft Sensor Development
Snippet-Aware Transformer With Multiple Action Elements for Skeleton-Based Action Segmentation
Analog soft-pattern-matching classifier using floating-gate MOS technology
Gaussian activation functions using Markov chains
Progressive Spatial Information-Guided Deep Aggregation Convolutional Network for Hyperspectral Spectral Super-Resolution
Protocol-Based Synchronization of Stochastic Jumping Inertial Neural Networks Under Image Encryption Application
HRCL: Hierarchical Relation Contrastive Learning for Low-Resource Relation Extraction
Characterization of Linearly Separable Boolean Functions: A Graph-Theoretic Perspective
Stochastic Resonance in Continuous and Spiking Neuron Models With Levy Noise
Augmenting Recurrent Neural Networks Resilience by Dropout
Adaptive Memory Broad Learning System for Unsupervised Time Series Anomaly Detection
SASAN: Shape-Adaptive Set Abstraction Network for Point-Voxel 3D Object Detection
Parallel, self-organizing, hierarchical neural networks with continuous inputs and outputs
Language-Driven Spatial-Semantic Cross-Attention for Face Attribute Recognition With Limited Labeled Data
Robust Self-Ensembling Network for Hyperspectral Image Classification
Cooperative Active Learning-Based Dual Control for Exploration and Exploitation in Autonomous Search
Topic-Based Instance and Feature Selection in Multilabel Classification
On the Correction of Anomalous Phase Oscillation in Entanglement Witnesses Using Quantum Neural Networks
Color Image Discriminant Models and Algorithms for Face Recognition
MGEL: Multigrained Representation Analysis and Ensemble Learning for Text Moderation
Consensus Problems Over Cooperation-Competition Random Switching Networks With Noisy Channels
Predicting drug dissolution profiles with an ensemble of boosted neural networks: a time series approach
Configuration of Continuous Piecewise-Linear Neural Networks
Multilevel category structure in the ART-2 network
L1-Norm Kernel Discriminant Analysis Via Bayes Error Bound Optimization for Robust Feature Extraction
Relaxed Exponential Stabilization for Coupled Memristive Neural Networks With Connection Fault and Multiple Delays via Optimized Elastic Event-Triggered Mechanism
Globally convergent algorithms with local learning rates
Visualization and self-organization of multidimensional data through equalized orthogonal mapping
Tailored Federated Learning With Adaptive Central Acceleration on Diversified Global Models
QC_SANE: Robust Control in DRL Using Quantile Critic With Spiking Actor and Normalized Ensemble
Global Predefined-Time Adaptive Neural Network Control for Disturbed Pure-Feedback Nonlinear Systems With Zero Tracking Error
Smart-Grid Backbone Network Real-Time Delay Reduction via Integer Programming
Learning With Auxiliary Less-Noisy Labels
Harmonization Shared Autoencoder Gaussian Process Latent Variable Model With Relaxed Hamming Distance
Guaranteeing Global Stability for Neuro-Adaptive Control of Unknown Pure-Feedback Nonaffine Systems via Barrier Functions
Low-Complexity Nonlinear Adaptive Filter Based on a Pipelined Bilinear Recurrent Neural Network
A general mean-based iterative winner-take-all neural network
DiffusionMOT: A Diffusion-Based Multiple Object Tracker
Online Learning Algorithm Based on Adaptive Control Theory
Kernel Masked Image Modeling Through the Lens of Theoretical Understanding
An Online Event-Triggered Near-Optimal Controller for Nash Solution in Interconnected System
Sub-symbolically managing pieces of symbolical functions for sorting
On-Line Node Fault Injection Training Algorithm for MLP Networks: Objective Function and Convergence Analysis
Refractory pulse counting Processes in stochastic neural computers
A hybrid approach of neural network and memory-based learning to data mining
Event-Triggered Fractional-Order Tracking Control for an Uncertain Nonlinear System With Output Saturation and Disturbances
Multiexperience-Assisted Efficient Multiagent Reinforcement Learning
New dynamical optimal learning for linear multilayer FNN
Proposal of a Control Algorithm for Multiagent Cooperation Using Spiking Neural Networks
Learning From Adaptive Neural Dynamic Surface Control of Strict-Feedback Systems
Eliminating the Permutation Ambiguity of Convolutive Blind Source Separation by Using Coupled Frequency Bins
Global Exponential Synchronization of Multiple Memristive Neural Networks With Time Delay via Nonlinear Coupling
A Hybrid Forward Algorithm for RBF Neural Network Construction
Lifelong Active Inference of Gait Control
Synchronization of Complex Dynamical Networks Subject to Noisy Sampling Interval and Packet Loss