yusuke1997/dblp-id-title huggingface dataset:
Predefined-Time Convergent Kinematic Control of Robotic Manipulators With Unknown Models Based on Hybrid Neural Dynamics and Human Behaviors
State-Feedback Filtering for Delayed Discrete-Time Complex-Valued Neural Networks
A nonlinear discriminant algorithm for feature extraction and data classification
A Local-Global Dual-Stream Network for Building Extraction From Very-High-Resolution Remote Sensing Images
Global Nonfragile Synchronization in Finite Time for Fractional-Order Discontinuous Neural Networks With Nonlinear Growth Activations
Finite-Time Convergent Recurrent Neural Network With a Hard-Limiting Activation Function for Constrained Optimization With Piecewise-Linear Objective Functions
MMV-Net: A Multiple Measurement Vector Network for Multifrequency Electrical Impedance Tomography
Solving systems of linear equations via gradient systems with discontinuous righthand sides: application to LS-SVM
AQE-RF: An Adaptive Quantifier Extension and Rule-Filtering Graph Network for Logical Reasoning of Text
Comments on "Classification ability of single hidden layer feedforward neural networks"
Learning with limited numerical precision using the cascade-correlation algorithm
Hair Segmentation Using Heuristically-Trained Neural Networks
Accuracy/Diversity and Ensemble MLP Classifier Design
Deep Multiview Collaborative Clustering
Nonstationary color tracking for vision-based human-computer interaction
Supervised Feature Selection via Collaborative Neurodynamic Optimization
A New Continuous-Time Equality-Constrained Optimization to Avoid Singularity
A Confident Information First Principle for Parameter Reduction and Model Selection of Boltzmann Machines
Robust Adaptive Dynamic Programming With an Application to Power Systems
Joint Label Inference and Discriminant Embedding
An Online Unsupervised Structural Plasticity Algorithm for Spiking Neural Networks
Spectral Clustering With Adaptive Neighbors for Deep Learning
Deep Neural Network Initialization With Decision Trees
Active Learning From Imbalanced Data: A Solution of Online Weighted Extreme Learning Machine
Error Analysis for Matrix Elastic-Net Regularization Algorithms
Singular Values for ReLU Layers
Co-Operative Coevolutionary Neural Networks for Mining Functional Association Rules
IncDet: In Defense of Elastic Weight Consolidation for Incremental Object Detection
Design, Analysis, and Representation of Novel Five-Step DTZD Algorithm for Time-Varying Nonlinear Optimization
A Mutually Supervised Graph Attention Network for Few-Shot Segmentation: The Perspective of Fully Utilizing Limited Samples
Efficient kNN Classification With Different Numbers of Nearest Neighbors
Decentralized Event-Driven Constrained Control Using Adaptive Critic Designs
Spatio-Temporal Learning With the Online Finite and Infinite Echo-State Gaussian Processes
Cross-Modal Object Tracking via Modality-Aware Fusion Network and a Large-Scale Dataset
Face recognition using artificial neural network group-based adaptive tolerance (GAT) trees
A Novel Unified and Self-Stabilizing Algorithm for Generalized Eigenpairs Extraction
A Latent Representation Generalizing Network for Domain Generalization in Cross-Scenario Monitoring
Adversarial Multiview Clustering Networks With Adaptive Fusion
Adversarial Learning With Multi-Modal Attention for Visual Question Answering
Invariance and neural nets
An MVMD-CCA Recognition Algorithm in SSVEP-Based BCI and Its Application in Robot Control
Collaborative Deconvolutional Neural Networks for Joint Depth Estimation and Semantic Segmentation
Meta-MolNet: A Cross-Domain Benchmark for Few Examples Drug Discovery
Exponential Synchronization for Markovian Stochastic Coupled Neural Networks of Neutral-Type via Adaptive Feedback Control
Weighted Piecewise LDA for Solving the Small Sample Size Problem in Face Verification
Stability of Complex-Valued Recurrent Neural Networks With Time-Delays
Deep Radiomic Analysis for Predicting Coronavirus Disease 2019 in Computerized Tomography and X-Ray Images
On self-organizing algorithms and networks for class-separability features
Convergence Study in Extended Kalman Filter-Based Training of Recurrent Neural Networks
Convergence of gradient method with momentum for two-Layer feedforward neural networks
Noise Robust Face Hallucination Based on Smooth Correntropy Representation
Universal Blind Image Quality Assessment Metrics Via Natural Scene Statistics and Multiple Kernel Learning
Residual Temporal Convolutional Network With Dual Attention Mechanism for Multilead-Time Interpretable Runoff Forecasting
Adaptive Neural Control for a Class of Strict-Feedback Nonlinear Systems With State Time Delays
Siamese Neural Networks for User Identity Linkage Through Web Browsing
Noise-Robust Projection Rule for Rotor and Matrix-Valued Hopfield Neural Networks
Event-Driven Stereo Visual Tracking Algorithm to Solve Object Occlusion
Bypassing Stationary Points in Training Deep Learning Models
Energy-Efficient FastICA Implementation for Biomedical Signal Separation
Formulation and integration of learning differential equations on the stiefel manifold
An Information-Theoretic-Cluster Visualization for Self-Organizing Maps
Use of Parallel Explanatory Models to Enhance Transparency of Neural Network Configurations for Cell Degradation Detection
Neural Learning Circuits Utilizing Nano-Crystalline Silicon Transistors and Memristors
Phase Synchronization Motion and Neural Coding in Dynamic Transmission of Neural Information
Self-Distillation for Randomized Neural Networks
MHSA-Net: Multihead Self-Attention Network for Occluded Person Re-Identification
A Weighted Heterogeneous Graph-Based Dialog System
RNN for Repetitive Motion Generation of Redundant Robot Manipulators: An Orthogonal Projection-Based Scheme
VLSI Implementation of a Bio-Inspired Olfactory Spiking Neural Network
Coding static natural images using spiking event times: do neurons Cooperate?
Coarse-Fine Nested Network for Weakly Supervised Group Activity Recognition
MultiplexSAGE: A Multiplex Embedding Algorithm for Inter-Layer Link Prediction
Event-Triggered Impulsive Fault-Tolerant Control for Memristor-Based RDNNs With Actuator Faults
Edge of Stability Echo State Network
MixedFusion: An Efficient Multimodal Data Fusion Framework for 3-D Object Detection and Tracking
Accelerating the training of feedforward neural networks using generalized Hebbian rules for initializing the internal representations
Robust Functional Manifold Clustering
Object Detection With Deep Learning: A Review
Recursive single-layer nets for output error dynamic models
On-line learning algorithms for locally recurrent neural networks
Robust Nonnegative Matrix Factorization With Self-Initiated Multigraph Contrastive Fusion
Optimized Distributed Filtering for Saturated Systems With Amplify-and-Forward Relays Over Sensor Networks: A Dynamic Event-Triggered Approach
The Q -Norm Complexity Measure and the Minimum Gradient Method: A Novel Approach to the Machine Learning Structural Risk Minimization Problem
Enhancing Function Approximation Abilities of Neural Networks by Training Derivatives
Adaptive Optimal Control of Highly Dissipative Nonlinear Spatially Distributed Processes With Neuro-Dynamic Programming
A network of networks processing model for image regularization
Artificial Neural Network Method for Solution of Boundary Value Problems With Exact Satisfaction of Arbitrary Boundary Conditions
Multilinear Compressive Learning
Joint Segmentation and Identification Feature Learning for Occlusion Face Recognition
Selecting Useful Groups of Features in a Connectionist Framework
Real-Time Vector Quantization and Clustering Based on Ordinary Differential Equations
Guest Editorial Special Issue on Neurodynamic Systems for Optimization and Applications
Spike-Timing-Dependent Plasticity With Activation-Dependent Scaling for Receptive Fields Development
A new evolutionary system for evolving artificial neural networks
Inverting feedforward neural networks using linear and nonlinear programming
Adaptive Scaling of Cluster Boundaries for Large-Scale Social Media Data Clustering
Prescribed Finite-Time Adaptive Neural Tracking Control for Nonlinear State-Constrained Systems: Barrier Function Approach
Client-Server Multitask Learning From Distributed Datasets
Memristor-Based Neural Network Circuit of Associative Memory With Overshadowing and Emotion Congruent Effect
Artificial neural networks for feature extraction and multivariate data projection
A Trustable Data-Driven Optimal Power Flow Computational Method With Robust Generalization Ability
Integer Echo State Networks: Efficient Reservoir Computing for Digital Hardware
Fuzzy kernel perceptron
Observer-Based Adaptive Synchronization Control of Unknown Discrete-Time Nonlinear Heterogeneous Systems
Sequential Projection-Based Metacognitive Learning in a Radial Basis Function Network for Classification Problems
l₂-l∞ State Estimation for Persistent Dwell-Time Switched Coupled Networks Subject to Round-Robin Protocol
Avoiding false local minima by proper initialization of connections
Feed-Forward Support Vector Machine Without Multipliers
Riemannian Manifold-Based Feature Space and Corresponding Image Clustering Algorithms
Fuzzy Graph Subspace Convolutional Network
Learning Better Registration to Learn Better Few-Shot Medical Image Segmentation: Authenticity, Diversity, and Robustness
Unsupervised Anomaly Detection With LSTM Neural Networks
Fusion of face and speech data for person identity verification
Fast Matrix Factorization With Nonuniform Weights on Missing Data
Deep Reinforcement Learning for Solving Vehicle Routing Problems With Backhauls
Optimization of Distributions Differences for Classification
Implementing Spiking Neural Networks for Real-Time Signal-Processing and Control Applications: A Model-Validated FPGA Approach
Interleaved Periodic Event-Triggered Communications-Based Distributed Formation Control for Cooperative Unmanned Surface Vessels
Convolutional Ordinal Regression Forest for Image Ordinal Estimation
Farewell Editorial A Heartfelt Thank You and Looking Into the New Era of TNNLS
Synchrony detection and amplification by silicon neurons with STDP synapses
Logical Topology Inference via CPGCN Joint Optimizing With Pedestrian Re-Id
PrivFR: Privacy-Enhanced Federated Recommendation With Shared Hash Embedding
Subsethood-product fuzzy neural inference system (SuPFuNIS)
Target Convergence Analysis of Cancer-Inspired Swarms for Early Disease Diagnosis and Targeted Collective Therapy
An End-to-End Deep Graph Clustering via Online Mutual Learning
Sequence Classification Restricted Boltzmann Machines With Gated Units
DSTCNet: Deep Spectro-Temporal-Channel Attention Network for Speech Emotion Recognition
Uncertain Interruptibility Multiobjective Flexible Job Shop via Deep Reinforcement Learning Based on Heterogeneous Graph Self-Attention
Is Extreme Learning Machine Feasible? A Theoretical Assessment (Part II)
Offline Modeling for Product Quality Prediction of Mineral Processing Using Modeling Error PDF Shaping and Entropy Minimization
Graph Contrastive Learning With Adaptive Proximity-Based Graph Augmentation
Physics-Informed Neural Networks With Weighted Losses by Uncertainty Evaluation for Accurate and Stable Prediction of Manufacturing Systems
SAMCL: Subgraph-Aligned Multiview Contrastive Learning for Graph Anomaly Detection
The Generalization Ability of Online SVM Classification Based on Markov Sampling
Fast orthogonal forward selection algorithm for feature subset selection
Model Construction of Boolean Network via Observed Data
STGlow: A Flow-Based Generative Framework With Dual-Graphormer for Pedestrian Trajectory Prediction
Self-Paced Clustering Ensemble
Decision trees can initialize radial-basis function networks
Collaborative Target Search With a Visual Drone Swarm: An Adaptive Curriculum Embedded Multistage Reinforcement Learning Approach
Spike-and-Slab Shrinkage Priors for Structurally Sparse Bayesian Neural Networks
Instance-Specific Loss-Weighted Decoding for Decomposition-Based Multiclass Classification
Robust Peak Detection for Holter ECGs by Self-Organized Operational Neural Networks
Exponential stabilization of neural networks with various activation functions and mixed time-varying delays
Geometric Multimodal Deep Learning With Multiscaled Graph Wavelet Convolutional Network
A clustering technique for digital communications channel equalization using radial basis function networks
Computational learning techniques for intraday FX trading using popular technical indicators
Dynamic security contingency screening and ranking using neural networks
The high-order Boltzmann machine: learned distribution and topology
Data-Driven Adaptive Disturbance Observers for Model-Free Trajectory Tracking Control of Maritime Autonomous Surface Ships
Large-Scale Multiagent System Tracking Control Using Mean Field Games
Multiagent-System-Based Attention Mechanism for Predicting Product Popularity: Handling Positive-Negative Diffusion Over Social Networks
mmPose-NLP: A Natural Language Processing Approach to Precise Skeletal Pose Estimation Using mmWave Radars
Guest Editorial How to Submit Letters
Deep Learning-Based NOMA System for Enhancement of 5G Networks: A Review
Iterative Privileged Learning
Neuroadaptive Control for Complicated Underactuated Systems With Simultaneous Output and Velocity Constraints Exerted on Both Actuated and Unactuated States
Analog neural nonderivative optimizers
Interactive Graph Learning for Multilevel Network Alignment
Demystifying and Mitigating Bias for Node Representation Learning
Video Prediction of Dynamic Physical Simulations With Pixel-Space Spatiotemporal Transformers
Route-and-Aggregate Decentralized Federated Learning Under Communication Errors
AnRAD: A Neuromorphic Anomaly Detection Framework for Massive Concurrent Data Streams
A training rule which guarantees finite-region stability for a class of closed-loop neural-network control systems
Consensus of Hybrid Multi-Agent Systems
A Decentralized Actor-Critic Algorithm With Entropy Regularization and Its Finite-Time Analysis
SOUL-Net: A Sparse and Low-Rank Unrolling Network for Spectral CT Image Reconstruction
Enhancing Graph Neural Networks for Out-of-Distribution Graph Detection
Compressing Features for Learning With Noisy Labels
Functional abilities of a stochastic logic neural network
Dynamic Infinite Mixed-Membership Stochastic Blockmodel
Large-Scale Heteroscedastic Regression via Gaussian Process
Online Training of an Opto-Electronic Reservoir Computer Applied to Real-Time Channel Equalization
Editorial: Renewal for the IEEE Transactions on Neural Networks
Quantifying the neighborhood preservation of self-organizing feature maps
Compact and Computationally Efficient Representation of Deep Neural Networks
Data-Driven-Based Cooperative Resilient Learning Method for Nonlinear MASs Under DoS Attacks
An associative RAM-based CAM and its application to broadband communications systems
Complexity-Reduced Scheme for Feature Extraction With Linear Discriminant Analysis
Numerical Spiking Neural P Systems
Dimensionality Reduction Using Similarity-Induced Embeddings
Neurons With Paraboloid Decision Boundaries for Improved Neural Network Classification Performance
A Neural Network Method for Detection of Obstructive Sleep Apnea and Narcolepsy Based on Pupil Size and EEG
A Unified Approach to Adaptive Neural Control for Nonlinear Discrete-Time Systems With Nonlinear Dead-Zone Input
An Efficient Iterative Approach to Explainable Feature Learning
A recurrent neural network for nonlinear optimization with a continuously differentiable objective function and bound constraints
Ensemble Manifold Rank Preserving for Acceleration-Based Human Activity Recognition
Bayesian retrieval in associative memories with storage errors
Relation-Aggregated Cross-Graph Correlation Learning for Fine-Grained Image-Text Retrieval
Improving Image Contrastive Clustering Through Self-Learning Pairwise Constraints
MGRW-Transformer: Multigranularity Random Walk Transformer Model for Interpretable Learning
Adaptive Prototypical Networks With Label Words and Joint Representation Learning for Few-Shot Relation Classification
Outperforming RBM Feature-Extraction Capabilities by "Dreaming" Mechanism
Finding Potential Support Vectors in Separable Classification Problems
Explaining Deep Graph Networks via Input Perturbation
Finite-Time Synchronization of Neural Networks With Infinite Discrete Time-Varying Delays and Discontinuous Activations
Learning Semisupervised Multilabel Fully Convolutional Network for Hierarchical Object Parsing
Learning Heterogeneous Spatial-Temporal Context for Skeleton-Based Action Recognition
Boltzmann Machines Reduction by High-Order Decimation
SMO-based pruning methods for sparse least squares support vector machines
A Fully Natural Gradient Scheme for Improving Inference of the Heterogeneous Multioutput Gaussian Process Model
LSTM recurrent networks learn simple context-free and context-sensitive languages
Regularizing Hyperspectral and Multispectral Image Fusion by CNN Denoiser
Ultrawideband Direction-of-Arrival Estimation Using Complex-Valued Spatiotemporal Neural Networks
Description-Enhanced Label Embedding Contrastive Learning for Text Classification
Multi-Valued and Universal Binary Neurons: Theory, Learning, and Applications [Book Review]
Invariant image classification using triple-correlation-based neural networks
A New Framework of Collaborative Learning for Adaptive Metric Distillation
A Unified and Biologically Plausible Relational Graph Representation of Vision Transformers
The Optimization of Control Parameters: Finite-Time Bipartite Synchronization of Memristive Neural Networks With Multiple Time Delays via Saturation Function
Approximate solution of the multiple watchman routes problem with restricted visibility range
An Improved Dual Neural Network for Solving a Class of Quadratic Programming Problems and Its k-Winners-Take-All Application
A New Recurrent Neural Network for Solving Convex Quadratic Programming Problems With an Application to the k -Winners-Take-All Problem
DL-ReSuMe: A Delay Learning-Based Remote Supervised Method for Spiking Neurons
Cross-Modal Clustering With Deep Correlated Information Bottleneck Method
Existence of binary invariant sets in feedback neural networks with application to synthesis
Template-Based Contrastive Distillation Pretraining for Math Word Problem Solving
Exploiting Operation Importance for Differentiable Neural Architecture Search
Interpretation of artificial neural networks by means of fuzzy rules
Corrections to "SO Dynamic Deformation for Building of 3-D Models"
AMARL: An Attention-Based Multiagent Reinforcement Learning Approach to the Min-Max Multiple Traveling Salesmen Problem
Oscillatory Dynamics and Regulatory Mechanisms of the p53-Per2 Network in DNA-Damaged Cells
Adaptive WTA With an Analog VLSI Neuromorphic Learning Chip
Finite-Time Passivity for Coupled Fractional-Order Neural Networks With Multistate or Multiderivative Couplings
Stability Analysis of Markovian Jump Stochastic BAM Neural Networks With Impulse Control and Mixed Time Delays
A general backpropagation algorithm for feedforward neural networks learning
An Algorithm for Clustering Categorical Data With Set-Valued Features
A Load-Balancing Self-Organizing Incremental Neural Network
Image Clustering Using an Augmented Generative Adversarial Network and Information Maximization
Guest Editorial: Special Issue on Explainable Representation Learning-Based Intelligent Inspection and Maintenance of Complex Systems
Unsupervised AER Object Recognition Based on Multiscale Spatio-Temporal Features and Spiking Neurons
Versatile Graph Neural Networks Toward Intuitive Human Activity Understanding
Self organization of a massive document collection
Learning similarity measure for natural image retrieval with relevance feedback
Improved Stability Criteria for Delayed Neural Networks Using a Quadratic Function Negative-Definiteness Approach
Synchronization of Arbitrarily Switched Boolean Networks
Structure-Preserved Self-Attention for Fusion Image Information in Multiple Color Spaces
STRAINet: Spatially Varying sTochastic Residual AdversarIal Networks for MRI Pelvic Organ Segmentation
Fast and Robust Object Detection Using Asymmetric Totally Corrective Boosting
Robust Approximate Dynamic Programming for Nonlinear Systems With Both Model Error and External Disturbance
Learning of stable states in stochastic asymmetric networks
Deep Multiview Clustering by Pseudo-Label Guided Contrastive Learning and Dual Correlation Learning
On solving systems of linear inequalities with artificial neural networks
Quantifying the Alignment of Graph and Features in Deep Learning
Gait Quality Aware Network: Toward the Interpretability of Silhouette-Based Gait Recognition
Broad Learning System: An Effective and Efficient Incremental Learning System Without the Need for Deep Architecture
Adaptive Visual and Auditory Map Alignment in Barn Owl Superior Colliculus and Its Neuromorphic Implementation
Learning and tuning fuzzy logic controllers through reinforcements
Constructing Optimal Prediction Intervals by Using Neural Networks and Bootstrap Method
Goal-Conditioned Hierarchical Reinforcement Learning With High-Level Model Approximation
Spatial and Temporal Downsampling in Event-Based Visual Classification
MH6D: Multi-Hypothesis Consistency Learning for Category-Level 6-D Object Pose Estimation
Robust and adaptive backstepping control for nonlinear systems using RBF neural networks
Denoising Adversarial Autoencoders
Modumer: Modulating Transformer for Image Restoration
A Gauss-Newton Method for the Synthesis of Periodic Outputs With Central Pattern Generators
Progressive learning and its application to robot impedance learning
Conditional Goal-Oriented Trajectory Prediction for Interacting Vehicles
Propagation of Collective Temporal Regularity in Noisy Hierarchical Networks
Adaptive Hashing With Sparse Matrix Factorization
Multi-Source Contribution Learning for Domain Adaptation
FPGA-Based Semisupervised Multifusion RDCNN of Process Robust VMD Data With Online Kernel RVFLN for Power Quality Events Recognition
Resource-Aware Time Series Imaging Classification for Wireless Link Layer Anomalies
Temporal Attention-Augmented Bilinear Network for Financial Time-Series Data Analysis
Neural networks in financial engineering: a study in methodology
Dual Information Enhanced Multiview Attributed Graph Clustering
An Adaptive Migration Collaborative Network for Multimodal Image Classification
A New Learning Algorithm for a Fully Connected Neuro-Fuzzy Inference System
Neural Control of Fast Nonlinear Systems- Application to a Turbocharged SI Engine With VCT
Deep Rank-Consistent Pyramid Model for Enhanced Crowd Counting
Exploring constructive cascade networks
Frobenius Norm-Based Robust Dynamic Neural Network for Time-Dependent Matrix Inversion
Elastic Net Nonparallel Hyperplane Support Vector Machine and Its Geometrical Rationality
Dual Attention Adversarial Attacks With Limited Perturbations
Stability of Recurrent Neural Networks With Time-Varying Delay via Flexible Terminal Method
Constructive neural networks with piecewise interpolation capabilities for function approximations
Visual Navigation and Landing Control of an Unmanned Aerial Vehicle on a Moving Autonomous Surface Vehicle via Adaptive Learning
Coarse-coded higher-order neural networks for PSRI object recognition
Maintaining the Integrity of Sources in Complex Learning Systems: Intraference and the Correlation Preserving Transform
Neuron Linear Transformation: Modeling the Domain Shift for Crowd Counting
A Unified Approach to Universal Prediction: Generalized Upper and Lower Bounds
Learning Anticipation via Spiking Networks: Application to Navigation Control
Adaptive Fuzzy-Neural-Network Control for Maglev Transportation System
Higher Order Polynomial Transformer for Fine-Grained Freezing of Gait Detection
Comments on 'Parallel algorithms for finding a near-maximum independent set of a circle graph' [with reply]
Implementation of self-organizing neural networks for visuo-motor control of an industrial robot
Toward Targeted Mining of RFM Patterns
Confidence interval prediction for neural network models
Decentralized Output Feedback Adaptive NN Tracking Control for Time-Delay Stochastic Nonlinear Systems With Prescribed Performance