yusuke1997/dblp-id-title huggingface dataset:
Dual-Rate Adaptive Optimal Tracking Control for Dense Medium Separation Process Using Neural Networks
Neural-network design for small training sets of high dimension
A Projection Neural Network to Nonsmooth Constrained Pseudoconvex Optimization
Generalized Nonconvex Approach for Low-Tubal-Rank Tensor Recovery
Robust Learning-Based Control for Uncertain Nonlinear Systems With Validation on a Soft Robot
Adaptive filter design using recurrent cerebellar model articulation controller
Learning Decision Boundaries for Multidimensional Anomaly Detection
Event-Triggered Constrained Optimal Control for Organic Rankine Cycle Systems via Safe Reinforcement Learning
On sequential construction of binary neural networks
Exponential Stability of Complex-Valued Memristive Recurrent Neural Networks
Few-Human-Interaction Reinforcement Learning for Autonomous Transbronchial Intervention
Morphological associative memories
Distributed Optimization of Graph Convolutional Network Using Subgraph Variance
Neuro-Optimal Trajectory Tracking With Value Iteration of Discrete-Time Nonlinear Dynamics
A Fast Graph Construction-Driven Rotating Machine Fault Diagnosis Method Using Edge Predictor
AL-SAR: Active Learning for Skeleton-Based Action Recognition
Dynamics of projective adaptive resonance theory model: the foundation of PART algorithm
Robust Neural Network Tracking Controller Using Simultaneous Perturbation Stochastic Approximation
Synaptic weight noise during multilayer perceptron training: fault tolerance and training improvements
Convergence under dynamical thresholds with delays
Toward Generalized Artificial Intelligence by Assessment Aggregation With Applications to Standard and Extreme Classifications
Pool-Based Sequential Active Learning for Regression
Adaptive Sparse Gaussian Process
Dynamic range and sensitivity adaptation in a silicon spiking neuron
Reaching Nirvana: Maximizing the Margin in Both Euclidean and Angular Spaces for Deep Neural Network Classification
DNRHP: Temporal Network Representation Learning via Hawkes Point Process
Efficient training of RBF neural networks for pattern recognition
Approximation capability to functions of several variables, nonlinear functionals, and operators by radial basis function neural networks
SeGMA: Semi-Supervised Gaussian Mixture Autoencoder
Vision-Based Learning for Drones: A Survey
Adaptive Bipartite Output Tracking Consensus in Switching Networks of Heterogeneous Linear Multiagent Systems Based on Edge Events
Optimal Adaptive Tracking Control of Partially Uncertain Nonlinear Discrete-Time Systems Using Lifelong Hybrid Learning
Analysis of the distance between two classes for tuning SVM hyperparameters
"Optimal" Hopfield network for combinatorial optimization with linear cost function
Marginalized Multiview Ensemble Clustering
Fast-Learning Adaptive-Subspace Self-Organizing Map: An Application to Saliency-Based Invariant Image Feature Construction
Guest Editorial: Special Issue on Theory, Algorithms, and Applications for Hybrid Intelligent Dynamic Optimization
Federated Graph Neural Networks: Overview, Techniques, and Challenges
Error-Triggered Adaptive Sparse Identification for Predictive Control and Its Application to Multiple Operating Conditions Processes
Mode-Mixed Effects Based Intralayer-Dependent Impulsive Synchronization for Multiple Mismatched Multilayer Neural Networks
Pseudo-Supervision Affinity Propagation for Efficient and Scalable Multiview Clustering
An Approach to Estimating Product Design Time Based on Fuzzy nu-Support Vector Machine
Finite-Time State Estimation for Recurrent Delayed Neural Networks With Component-Based Event-Triggering Protocol
Learning Ensembles of Neural Networks by Means of a Bayesian Artificial Immune System
Global $H_\infty $ Pinning Synchronization of Complex Networks With Sampled-Data Communications
Unsupervised Multimanifold Cross-Guided Diffusion Deformable Registration for Cardiac MRI
Online Anomaly Detection With Bandwidth Optimized Hierarchical Kernel Density Estimators
Structure-Aware Feature Disentanglement With Knowledge Transfer for Appearance-Changing Place Recognition
Robust and Collision-Free Formation Control of Multiagent Systems With Limited Information
Neural Joint Entropy Estimation
Learning Selective Sensor Fusion for State Estimation
Observer Design for Sampled-Data Systems via Deterministic Learning
Explore the Influence of Shallow Information on Point Cloud Registration
Identification and Control of Nonlinear Systems Using Neural Networks: A Singularity-Free Approach
Robust-EQA: Robust Learning for Embodied Question Answering With Noisy Labels
Analyzing Heterogeneous Networks With Missing Attributes by Unsupervised Contrastive Learning
Attention-Based Real Image Restoration
Detection and classification of underwater acoustic transients using neural networks
Host-Parasite: Graph LSTM-in-LSTM for Group Activity Recognition
Simple and robust methods for support vector expansions
Attention Enhanced Reinforcement Learning for Multi agent Cooperation
Anam-Net: Anamorphic Depth Embedding-Based Lightweight CNN for Segmentation of Anomalies in COVID-19 Chest CT Images
Self-Organizing and Self-Evolving Neurons: A New Neural Network for Optimization
Dynamic Surface Control Using Neural Networks for a Class of Uncertain Nonlinear Systems With Input Saturation
An optimal power-dispatching system using neural networks for the electrochemical process of zinc depending on varying prices of electricity
Active control of vibration using a neural network
Adaptive output feedback control of uncertain nonlinear systems using single-hidden-layer neural networks
Application of Hopfield network to saccades
Using Eye Gaze to Enhance Generalization of Imitation Networks to Unseen Environments
Optimal Synchronization Control of Multiagent Systems With Input Saturation via Off-Policy Reinforcement Learning
Structure Suture Learning-Based Robust Multiview Palmprint Recognition
Unambiguous and High-Fidelity Backdoor Watermarking for Deep Neural Networks
A Self-Supervised Heterogeneous Graph Attention Model Based on Adaptable Step-Size Metapaths
Adaptive Optimal Output Regulation of Time-Delay Systems via Measurement Feedback
Anatomy-Guided Spatio-Temporal Graph Convolutional Networks (AG-STGCNs) for Modeling Functional Connectivity Between Gyri and Sulci Across Multiple Task Domains
Subject-Independent Brain-Computer Interfaces Based on Deep Convolutional Neural Networks
Weighted Contrastive Learning With Hard Negative Mining for Positive and Unlabeled Learning
Deep Subdomain Adaptation Network for Image Classification
Finite-Horizon H ∞ State Estimation for Complex Networks With Uncertain Couplings and Packet Losses: Handling Amplify-and-Forward Relays
Toward Resolution-Invariant Person Reidentification via Projective Dictionary Learning
Efficient Deep Reinforcement Learning With Imitative Expert Priors for Autonomous Driving
Asynchronous Fault Detection for Memristive Neural Networks With Dwell-Time-Based Communication Protocol
A bio-inspired two-layer mixed-signal flexible programmable chip for early vision
Distribution-Free Probability Density Forecast Through Deep Neural Networks
High-Dimensional Function Approximation With Neural Networks for Large Volumes of Data
Hierarchical Multiagent Formation Control Scheme via Actor-Critic Learning
Approximate Optimal Control for Nonlinear Systems With Periodic Event-Triggered Mechanism
Information Theoretic Learning-Enhanced Dual-Generative Adversarial Networks With Causal Representation for Robust OOD Generalization
Partial Consistency for Stabilizing Undiscounted Reinforcement Learning
Eigenimage2Eigenimage (E2E): A Self-Supervised Deep Learning Network for Hyperspectral Image Denoising
Regularized Mixture Density Estimation With an Analytical Setting of Shrinkage Intensities
Selecting radial basis function network centers with recursive orthogonal least squares training
Interaction-Aware Graph Neural Networks for Fault Diagnosis of Complex Industrial Processes
Supervised Learning Based on Temporal Coding in Spiking Neural Networks
Self-organization of spiking neurons using action potential timing
Modeling High-Order Relationships: Brain-Inspired Hypergraph-Induced Multimodal-Multitask Framework for Semantic Comprehension
Model of an Excitatory Synapse Based on Stochastic Processes
Communication-Censored Distributed Stochastic Gradient Descent
Multichannel Orthogonal Transform-Based Perceptron Layers for Efficient ResNets
Attract-Repel Encoder: Learning Anomaly Representation Away From Landmarks
Optimal Evolution Strategy for Continuous Strategy Games on Complex Networks via Reinforcement Learning
Generalized Encoding and Decoding Operators for Lattice-Based Associative Memories
The Proximal Trajectory Algorithm in SVM Cross Validation
New Semi-Supervised Classification Method Based on Modified Cluster Assumption
Dependent Online Kernel Learning With Constant Number of Random Fourier Features
Effective Data-Aware Covariance Estimator From Compressed Data
Editorial A Successful Change From TNN to TNNLS and a Very Successful Year
Reinforcement Learning Based Optimal Tracking Control Under Unmeasurable Disturbances With Application to HVAC Systems
High-Performance Consensus Control in Networked Systems With Limited Bandwidth Communication and Time-Varying Directed Topologies
Hierarchical Reinforcement Learning With Universal Policies for Multistep Robotic Manipulation
A Convex Approach to Validation-Based Learning of the Regularization Constant
Rate of Convergence of the FOCUSS Algorithm
TIENet: A Tri-Interaction Enhancement Network for Multimodal Person Reidentification
SARF: Aliasing Relation-Assisted Self-Supervised Learning for Few-Shot Relation Reasoning
Terminal Sliding Mode Control of MEMS Gyroscopes With Finite-Time Learning
Global Exponential Synchronization of Coupled Delayed Memristive Neural Networks With Reaction-Diffusion Terms via Distributed Pinning Controls
Symmetry constraints for feedforward network models of gradient systems
Long-Term Influenza Outbreak Forecast Using Time-Precedence Correlation of Web Data
Toward Deep Adaptive Hinging Hyperplanes
Class-Imbalanced-Aware Distantly Supervised Named Entity Recognition
Observer-Based Adaptive Fault-Tolerant Tracking Control of Nonlinear Nonstrict-Feedback Systems
Recurrent neural nets as dynamical Boolean systems with application to associative memory
An adaptable neural-network model for recursive nonlinear traffic prediction and modeling of MPEG video sources
Generalizable and Discriminative Representations for Adversarially Robust Few-Shot Learning
Finite-Time Synchronization of Fractional-Order Memristive Fuzzy Neural Networks: Event-Based Control With Linear Measurement Error
A Reinforcement Learning Approach for Flexible Job Shop Scheduling Problem With Crane Transportation and Setup Times
Impulsive Stabilization and Impulsive Synchronization of Discrete-Time Delayed Neural Networks
Data-Driven Modeling Based on Volterra Series for Multidimensional Blast Furnace System
Another K-winners-take-all analog neural network
Kohonen's Map Approach for the Belief Mass Modeling
Seed to Prune: A Seeded Graph Neural Network for Two-View Correspondence Learning
Discretizing Continuous Action Space With Unimodal Probability Distributions for On-Policy Reinforcement Learning
LDA/SVM driven nearest neighbor classification
Multilayer perceptron-based DFE with lattice structure
Online Recorded Data-Based Composite Neural Control of Strict-Feedback Systems With Application to Hypersonic Flight Dynamics
Global Nonlinear Kernel Prediction for Large Data Set With a Particle Swarm-Optimized Interval Support Vector Regression
Constructive feedforward neural networks using Hermite polynomial activation functions
Seeing All From a Few: ℓ 1 -Norm-Induced Discriminative Prototype Selection
Existence and Uniform Stability Analysis of Fractional-Order Complex-Valued Neural Networks With Time Delays
Robust Deep Co-Saliency Detection With Group Semantic and Pyramid Attention
A Lagrangian Relaxation Approach for Binary Multiple Instance Classification
Sparse Index Tracking With K-Sparsity or ϵ-Deviation Constraint via ℓ 0 -Norm Minimization
A study on SMO-type decomposition methods for support vector machines
Neighboring State-Aware Policy for Deep Reinforcement Learning
Cross-Domain Graph Convolutions for Adversarial Unsupervised Domain Adaptation
Benchmarking the Robustness of Instance Segmentation Models
LMS learning algorithms: misconceptions and new results on converence
Robust Privacy-Preserving Recommendation Systems Driven by Multimodal Federated Learning
A Gated Recurrent Generative Transfer Learning Network for Fault Diagnostics Considering Imbalanced Data and Variable Working Conditions
A Deeply Supervised Convolutional Neural Network for Pavement Crack Detection With Multiscale Feature Fusion
Locally recurrent globally feedforward networks: a critical review of architectures
A Penalty Strategy Combined Varying-Parameter Recurrent Neural Network for Solving Time-Varying Multi-Type Constrained Quadratic Programming Problems
Weight assignment for adaptive image restoration by neural networks
Adaptive Unsupervised Feature Selection With Structure Regularization
Robust CDMA multiuser detection using a neural-network approach
Projection-Pursuit-Based Method for Blind Separation of Nonnegative Sources
Online Support Vector Machine Based on Convex Hull Vertices Selection
Multilayer perceptron, fuzzy sets, and classification
Scalable Linear Visual Feature Learning via Online Parallel Nonnegative Matrix Factorization
Memristor-Based Edge Computing of Blaze Block for Image Recognition
Stable neural controller design for unknown nonlinear systems using backstepping
Stability analysis of dynamical neural networks
Efficient hyperkernel learning using second-order cone programming
Representation and generalization properties of class-entropy networks
Spatial-Spectral Unified Adaptive Probability Graph Convolutional Networks for Hyperspectral Image Classification
Cost functions to estimate a posteriori probabilities in multiclass problems
Voronoi networks and their probability of misclassification
Complex-Valued Convolutional Gated Recurrent Neural Network for Ultrasound Beamforming
Adaptive Critic for Event-Triggered Unknown Nonlinear Optimal Tracking Design With Wastewater Treatment Applications
Global Synchronization of Coupled Fractional-Order Recurrent Neural Networks
An ART1 microchip and its use in multi-ART1 systems
Forward- and backpropagation in a silicon dendrite
Preferential Selective-Aware Graph Neural Network for Preventing Attacks in Interbank Credit Rating
Generalized neurofuzzy network modeling algorithms using Bezier-Bernstein polynomial functions and additive decomposition
A Unified Framework for Representation-Based Subspace Clustering of Out-of-Sample and Large-Scale Data
Improving Sample Efficiency of Reinforcement Learning With Background Knowledge From Large Language Models
Editorial Happy New Year!
A Nonfeasible Gradient Projection Recurrent Neural Network for Equality-Constrained Optimization Problems
Another Perspective of Over-Smoothing: Alleviating Semantic Over-Smoothing in Deep GNNs
A Class of Quaternion Kalman Filters
Supplier Selection Based on a Neural Network Model Using Genetic Algorithm
A probabilistic model for the fault tolerance of multilayer perceptrons
Design of two-dimensional recursive filters by using neural networks
A Unified Framework for Dynamics Modeling and Control Design Using Deep Learning With Side Information on Stabilizability
EMS: A Large-Scale Eye Movement Dataset, Benchmark, and New Model for Schizophrenia Recognition
A Dynamically Adjusted Mixed Emphasis Method for Building Boosting Ensembles
Growing Echo-State Network With Multiple Subreservoirs
Local Critic Training for Model-Parallel Learning of Deep Neural Networks
On the Dynamics of Hopfield Neural Networks on Unit Quaternions
Interpretable Graph Reservoir Computing With the Temporal Pattern Attention
A Novel Locally Linear KNN Method With Applications to Visual Recognition
Regression-Based Hyperparameter Learning for Support Vector Machines
A Novel Generator With Auxiliary Branch for Improving GAN Performance
An Event-Based Digital Time Difference Encoder Model Implementation for Neuromorphic Systems
Enhanced Scalable Graph Neural Network via Knowledge Distillation
Multiview Boosting With Information Propagation for Classification
Incremental Learning From Stream Data
Adaptive Reinforcement Learning Control Based on Neural Approximation for Nonlinear Discrete-Time Systems With Unknown Nonaffine Dead-Zone Input
Universal Perceptron and DNA-Like Learning Algorithm for Binary Neural Networks: LSBF and PBF Implementations
Data strip mining for the virtual design of pharmaceuticals with neural networks
DSFedCon: Dynamic Sparse Federated Contrastive Learning for Data-Driven Intelligent Systems
Sophisticated Merging Over Random Partitions: A Scalable and Robust Causal Discovery Approach
Contrastive Unsupervised Representation Learning With Optimize-Selected Training Samples
DigNet: Digging Clues From Local-Global Interactive Graph for Aspect-Level Sentiment Classification
Grouping synchronization in a pulse-coupled network of chaotic spiking oscillators
MEN: Mutual Enhancement Networks for Sign Language Recognition and Education
MSDLSR: Margin Scalable Discriminative Least Squares Regression for Multicategory Classification
A Predefined-Time Adaptive Zeroing Neural Network for Solving Time-Varying Linear Equations and Its Application to UR5 Robot
Novel hysteretic noisy chaotic neural network for broadcast scheduling problems in packet radio networks
Adversarial Examples: Attacks and Defenses for Deep Learning
Data-Based Optimal Switching and Control With Admissibility Guaranteed Q-Learning
Improved Delay-Dependent Asymptotic Stability Criteria for Delayed Neural Networks
Mode and Delay-Dependent Adaptive Exponential Synchronization in p th Moment for Stochastic Delayed Neural Networks With Markovian Switching
Neural Adaptive Self-Triggered Control for Uncertain Nonlinear Systems With Input Hysteresis
Multiple Actor-Critic Structures for Continuous-Time Optimal Control Using Input-Output Data
An evidential extension of the MRII training algorithm for detecting erroneous MADALINE responses
On the structure of strict sense Bayesian cost functions and its applications
Harnessing Side Information for Classification Under Label Noise
Going Deeper, Generalizing Better: An Information-Theoretic View for Deep Learning
Synchronization Control for Network Systems With Communication Constraints
EAD-GAN: A Generative Adversarial Network for Disentangling Affine Transforms in Images
Instance-Dependent Inaccurate Label Distribution Learning
Dynamic Energy Management System for a Smart Microgrid
Linear dependency between ε and the input noise in ε-support vector regression
Feature Combination and the kNN Framework in Object Classification
Long Short-Term Memory-Based Twin Support Vector Regression for Probabilistic Load Forecasting
Monotone and partially monotone neural networks
A modular CMOS design of a Hamming network
Zero-Shot Fault Diagnosis for Smart Process Manufacturing via Tensor Prototype Alignment
Hidden Order of Boolean Networks
Synaptic Learning With Augmented Spikes
Author's Reply
Online Selective Kernel-Based Temporal Difference Learning
Stable online evolutionary learning of NN-MLP
Feature Correlation-Guided Knowledge Transfer for Federated Self-Supervised Learning
Video-Based Multiphysiological Disentanglement and Remote Robust Estimation for Respiration
Reinforced GNNs for Multiple Instance Learning
Quaternion Projection Rule for Rotor Hopfield Neural Networks
Reply to "Comments on "Adaptive Neural Control for a Class of Nonlinearly Parametric Time-Delay Systems""
A Comprehensive Review of Stability Analysis of Continuous-Time Recurrent Neural Networks
Lag Synchronization of Unknown Chaotic Delayed Yang-Yang-Type Fuzzy Neural Networks With Noise Perturbation Based on Adaptive Control and Parameter Identification
Dispersive propagation skew effects in iterative neural networks
Integral BLF-Based Adaptive Neural Constrained Regulation for Switched Systems With Unknown Bounds on Control Gain
Accelerated Distributed Approximate Newton Method
Anisotropic noise injection for input variables relevance determination
Discrete-Time H 2 Neural Control Using Reinforcement Learning
Self-Supervised 3-D Semantic Representation Learning for Vision-and-Language Navigation
Discrete-Time Analogs for a Class of Continuous-Time Recurrent Neural Networks
Deep Reinforcement Learning in Human Activity Recognition: A Survey and Outlook
Nonparametric Mixtures of Gaussian Processes With Power-Law Behavior
Hierarchically structured unit-simplex transformations for parallel distributed optimization problems
A Collaborative Neurodynamic Approach to Multiple-Objective Distributed Optimization
DONet: Dual-Octave Network for Fast MR Image Reconstruction
Optimization of trading physics models of markets
Human-in-the-Loop Low-Shot Learning
Theory-Inspired Deep Network for Instantaneous-Frequency Extraction and Subsignals Recovery From Discrete Blind-Source Data
Glove-Based Hand Gesture Recognition for Diver Communication
Operator Control of Interneural Computing Machines
Embedded Hardware-Efficient Real-Time Classification With Cascade Support Vector Machines
A new synthesis approach for feedback neural networks based on the perceptron training algorithm
Sliding Mode Control Based on Reinforcement Learning for T-S Fuzzy Fractional-Order Multiagent System With Time-Varying Delays
Continual Learning of Recurrent Neural Networks by Locally Aligning Distributed Representations
Weakly Aligned Feature Fusion for Multimodal Object Detection
Analysis and Online Realization of the CCA Approach for Blind Source Separation
Errata to "on the use of separable volterra networks to model discrete-time volterra systems"
Image Manipulation Localization Using Attentional Cross-Domain CNN Features
Aitken-based acceleration methods for assessing convergence of multilayer neural networks
Difficulty-Guided Variant Degradation Learning for Blind Image Super-Resolution
Compensatory neurofuzzy systems with fast learning algorithms
Distributed Online Constrained Optimization With Feedback Delays
Best Approximation of Gaussian Neural Networks With Nodes Uniformly Spaced
PsyCOP-a psychologically motivated connectionist system for object perception
Backdoor Attacks and Countermeasures in Natural Language Processing Models: A Comprehensive Security Review
Hysteretic Noisy Chaotic Neural Networks for Resource Allocation in OFDMA System
Improving on Deterministic Approximate Bayesian Inferences for Mixture Distributions
Method for Determining the Optimal Number of Clusters Based on Agglomerative Hierarchical Clustering
Command Filtered Neuroadaptive Fault-Tolerant Control for Nonlinear Systems With Input Saturation and Unknown Control Direction
A Game-Theoretic Approach to Design Secure and Resilient Distributed Support Vector Machines
Statistical analysis of network traffic for adaptive faults detection
Self-Weighted Unsupervised LDA
Multiattentive Perception and Multilayer Transfer Network Using Knowledge Distillation for RGB-D Indoor Scene Parsing
Global exponential stability of neural networks with globally Lipschitz continuous activations and its application to linear variational inequality problem
A Novel Public Sentiment Analysis Method Based on an Isomerism Learning Model via Multiphase Processing
Neural Network Adaptive Output Feedback Control for Intensive Care Unit Sedation and Intraoperative Anesthesia
Multitask Representation Learning With Multiview Graph Convolutional Networks
Synchronization of Stochastic Dynamical Networks Under Impulsive Control With Time Delays
Deep End-to-End One-Class Classifier
Lagrange Stability of Memristive Neural Networks With Discrete and Distributed Delays
Robust Joint Graph Sparse Coding for Unsupervised Spectral Feature Selection
Hierarchical Singleton-Type Recurrent Neural Fuzzy Networks for Noisy Speech Recognition
Deep Graph Reinforcement Learning for Solving Multicut Problem
Hybrid Quantum Deep Learning With Superpixel Encoding for Earth Observation Data Classification
Multiview Subspace Clustering via Co-Training Robust Data Representation