yusuke1997/dblp-id-title huggingface dataset:
MSAFF: Multi-Way Soft Attention Fusion Framework With the Large Foundation Models for the Diagnosis of Alzheimer's Disease
Practical optoelectronic neural network realizations based on the fault tolerance of the backpropagation algorithm
Multimodal Dual-Embedding Networks for Malware Open-Set Recognition
On-line retrainable neural networks: improving the performance of neural networks in image analysis problems
Guest Editorial Special Issue on Neural Networks for Feedback Control Systems
Toward the Optimization of Normalized Graph Laplacian
Topology Preservation and Cooperative Learning in Identification of Multiple Model Systems
Random Sampler M-Estimator Algorithm With Sequential Probability Ratio Test for Robust Function Approximation Via Feed-Forward Neural Networks
Satellite Pose Set Estimation by Uncertainty-Guided Conformal Keypoint Detection
Multiview Clustering via Block Diagonal Graph Filtering
Stochastic Strongly Convex Optimization via Distributed Epoch Stochastic Gradient Algorithm
Silicon auditory processors as computer peripherals
A transient-chaotic autoassociative network (TCAN) based on Lee oscillators
A Hybrid Technique for Blind Separation of Non-Gaussian and Time-Correlated Sources Using a Multicomponent Approach
Three-Dimensional View Relationship-Based Context-Aware Emotion Recognition
Nonsmooth Neural Network for Convex Time-Dependent Constraint Satisfaction Problems
Discriminative Regression With Adaptive Graph Diffusion
Self-organizing feature maps with self-adjusting learning parameters
An Optimization-Based Method for Feature Ranking in Nonlinear Regression Problems
Robust and Effective: A Deep Matrix Factorization Framework for Classification
Max-Ordinal Learning
Adaptive Dropout Method Based on Biological Principles
DAGCN: Dynamic and Adaptive Graph Convolutional Network for Salient Object Detection
Empirical risk minimization for support vector classifiers
Context-Aware REpresentation: Jointly Learning Item Features and Selection From Triplets
PHNNs: Lightweight Neural Networks via Parameterized Hypercomplex Convolutions
An Improved Result on Dissipativity and Passivity Analysis of Markovian Jump Stochastic Neural Networks With Two Delay Components
Optimal Scale Combination Selection Integrating Three-Way Decision With Hasse Diagram
Comparison of floating gate neural network memory cells in standard VLSI CMOS technology
Learning to Learn Variational Quantum Algorithm
Intralayer Synchronization and Interlayer Quasisynchronization in Multiplex Networks of Nonidentical Layers
Role Exchange-Based Self-Training Semi-Supervision Framework for Complex Medical Image Segmentation
Contrastive Learning-Based Dual Dynamic GCN for SAR Image Scene Classification
Adaptive Practical Nonlinear Model Predictive Control for Echo State Network Models
Reinforcement Learning-Based Differential Evolution With Cooperative Coevolution for a Compensatory Neuro-Fuzzy Controller
Backpropagation neural nets with one and two hidden layers
Constructing Sparse Kernel Machines Using Attractors
Signal detection using the radial basis function coupled map lattice
Event-Triggered Adaptive Control of Uncertain Nonlinear Systems With Composite Condition
Event-Based H ∞ State Estimation for Time-Varying Stochastic Dynamical Networks With State- and Disturbance-Dependent Noises
Novel Adaptive Strategies for Synchronization of Linearly Coupled Neural Networks With Reaction-Diffusion Terms
Visuomotor Navigation for Embodied Robots With Spatial Memory and Semantic Reasoning Cognition
TADC: A Topic-Aware Dynamic Convolutional Neural Network for Aspect Extraction
Improved conditions for global exponential stability of recurrent neural networks with time-varying delays
New Criteria for Stability of Neutral-Type Neural Networks With Multiple Time Delays
Towards Fairness-Aware Federated Learning
Multiview Large Margin Distribution Machine
Cumulant GAN
Improving Offline Reinforcement Learning With in-Sample Advantage Regularization for Robot Manipulation
Convergence of Nonautonomous Cohen-Grossberg-Type Neural Networks With Variable Delays
Spike timing dependent plasticity (STDP) can ameliorate process variations in neuromorphic VLSI
Hundreds Guide Millions: Adaptive Offline Reinforcement Learning With Expert Guidance
Implementing online natural gradient learning: problems and solutions
Focus Affinity Perception and Super-Resolution Embedding for Multifocus Image Fusion
Full Information Control for Switched Neural Networks Subject to Fault and Disturbance
A Quick Assessment of Topology Preservation for SOM Structures
A Hybrid System Based on Dynamic Selection for Time Series Forecasting
Projective Synchronization of Delayed Neural Networks With Mismatched Parameters and Impulsive Effects
Self-Supervised Autoregressive Domain Adaptation for Time Series Data
A Hybrid ART-GRNN Online Learning Neural Network With a varepsilon -Insensitive Loss Function
An adaptive tracking controller using neural networks for a class of nonlinear systems
Tracking Control for Linear Discrete-Time Networked Control Systems With Unknown Dynamics and Dropout
Learning to Learn Adaptive Classifier-Predictor for Few-Shot Learning
Stability analysis of bidirectional associative memory networks with time delays
Distributed Adaptive Flocking Control for Large-Scale Multiagent Systems
A Rotational Motion Perception Neural Network Based on Asymmetric Spatiotemporal Visual Information Processing
Locally Weighted Online Approximation-Based Control for Nonaffine Systems
An iterative pruning algorithm for feedforward neural networks
On Global Dissipativity of Nonautonomous Neural Networks With Multiple Proportional Delays
Statistical Loss and Analysis for Deep Learning in Hyperspectral Image Classification
Generalized Self-Organizing Maps for Automatic Determination of the Number of Clusters and Their Multiprototypes in Cluster Analysis
Synchronization of Stochastic Neural Networks Using Looped-Lyapunov Functional and Its Application to Secure Communication
Discriminative Hierarchical K-Means Tree for Large-Scale Image Classification
Distributed Adaptive Output Feedback Consensus for Nonlinear Stochastic Multiagent Systems by Reference Generator Approach
Dynamic neural controllers for induction motor
Repetitive Impedance Learning-Based Physically Human-Robot Interactive Control
Communication-Efficient Federated Deep Learning With Layerwise Asynchronous Model Update and Temporally Weighted Aggregation
Tuned Compositional Feature Replays for Efficient Stream Learning
GMConv: Modulating Effective Receptive Fields for Convolutional Kernels
Zhang Neural Network Versus Gradient Neural Network for Solving Time-Varying Linear Inequalities
Understanding the Distributions of Aggregation Layers in Deep Neural Networks
Learning Transferred Weights From Co-Occurrence Data for Heterogeneous Transfer Learning
Neural-network-based adaptive hybrid-reflectance model for 3-D surface reconstruction
Uncertainty-Guided Discriminative Priors Mining for Flexible Unsupervised Spectral Reconstruction
TraverseNet: Unifying Space and Time in Message Passing for Traffic Forecasting
Unsupervised Feature Selection With Flexible Optimal Graph
Recurrent neural-network training by a learning automaton approach for trajectory learning and control system design
Robot Brains. Circuits and Systems for Conscious Machines (P. Haikonen; 2007) [Book review]
Prefixed-Time Local Intermittent Sampling Synchronization of Stochastic Multicoupling Delay Reaction-Diffusion Dynamic Networks
GenURL: A General Framework for Unsupervised Representation Learning
Optimal Learning Output Tracking Control: A Model-Free Policy Optimization Method With Convergence Analysis
Zeroing polynomials using modified constrained neural network approach
Trellis codes, receptive fields, and fault tolerant, self-repairing neural networks
Two digital circuits for a fully parallel stochastic neural network
Endmember-Guided Unmixing Network (EGU-Net): A General Deep Learning Framework for Self-Supervised Hyperspectral Unmixing
Multiple model regression estimation
Consensus in Continuous-Time Multiagent Systems Under Discontinuous Nonlinear Protocols
Incremental Support Vector Learning for Ordinal Regression
A Lagrangian network for kinematic control of redundant robot manipulators
Robust Structured Graph Clustering
Region Stabilization of Switched Neural Networks With Multiple Modes and Multiple Equilibria: A Pole Assignment Method
Identification and control of dynamical systems using the self-organizing map
Quantum-Inspired Multidirectional Associative Memory With a Self-Convergent Iterative Learning
Temporal-Frequency Attention Focusing for Time Series Extrinsic Regression via Auxiliary Task
Neural Probabilistic Graphical Model for Face Sketch Synthesis
A local linearized least squares algorithm for training feedforward neural networks
Dualityfree Methods for Stochastic Composition Optimization
Novel Multiclass Classifiers Based on the Minimization of the Within-Class Variance
Neighborhood sequential and random training techniques for CMAC
Recursive Reasoning With Reduced Complexity and Intermittency for Nonequilibrium Learning in Stochastic Games
Semi-Supervised Multiscale Dynamic Graph Convolution Network for Hyperspectral Image Classification
Balancing Transferability and Discriminability for Unsupervised Domain Adaptation
Identification and control of dynamical systems using neural networks
Novel heterostructure device for electronic pulse-mode neural circuits
Reinforcement Learning With Sparse-Executing Action via Sparsity Regularization
Face membership authentication using SVM classification tree generated by membership-based LLE data partition
Complex Dual-Tree Pyramid Scattering Transformer
DMAE-EEG: A Pretraining Framework for EEG Spatiotemporal Representation Learning
Masked GAN for Unsupervised Depth and Pose Prediction With Scale Consistency
Continual Learning With Knowledge Distillation: A Survey
Existence and Uniqueness of Pseudo Almost-Periodic Solutions of Recurrent Neural Networks With Time-Varying Coefficients and Mixed Delays
Reinforcement learning to train a cooperative network with both discrete and continuous output neurons
A Robust Multi-Virtual-Agent Inverse Reinforcement Learning Approach With Data Aggregation for Perturbed Environments
Pressure- and Work-Limited Neuroadaptive Control for Mechanical Ventilation of Critical Care Patients
Finite-Time Tracking Control for a Class of Uncertain Strict-Feedback Nonlinear Systems With State Constraints: A Smooth Control Approach
Nonparametric Bayesian Correlated Group Regression With Applications to Image Classification
Improving Multispike Learning With Plastic Synaptic Delays
Converting High-Performance and Low-Latency SNNs Through Explicit Modeling of Residual Error in ANNs
Sparse Density Estimation on the Multinomial Manifold
Integration of Semantic and Episodic Memories
Robust Distributed Learning Against Both Distributional Shifts and Byzantine Attacks
Tree-Based Kernel for Graphs With Continuous Attributes
Boosting Pseudo-Labeling With Curriculum Self-Reflection for Attributed Graph Clustering
On a natural homotopy between linear and nonlinear single-layer networks
Performance Bounds of Quaternion Estimators
Gaussian Process Regression With Interpretable Sample-Wise Feature Weights
Neural-network feature selector
Topology-Based Hierarchical Clustering of Self-Organizing Maps
Prototypical Graph Contrastive Learning
A new winners-take-all architecture in artificial neural networks
Composite Antidisturbance Control for Non-Gaussian Stochastic Systems via Information-Theoretic Learning Technique
Learning polynomial feedforward neural networks by genetic programming and backpropagation
Design of a Data-Driven Predictive Controller for Start-up Process of AMT Vehicles
Bioinspired Approach to Modeling Retinal Ganglion Cells Using System Identification Techniques
Generating Face Images With Attributes for Free
Learning Understandable Neural Networks With Nonnegative Weight Constraints
A Comparison of Algorithms for Learning Hidden Variables in Bayesian Factor Graphs in Reduced Normal Form
Fast self-organizing feature map algorithm
Hierarchical Approximate Policy Iteration With Binary-Tree State Space Decomposition
Fine-Grained Image Classification Using Modified DCNNs Trained by Cascaded Softmax and Generalized Large-Margin Losses
Adaptive Statistic Tracking Control Based on Two-Step Neural Networks With Time Delays
Simplified neural networks for solving linear least squares and total least squares problems in real time
Discretize Relaxed Solution of Spectral Clustering via a Nonheuristic Algorithm
Complete Stability Analysis With Respect to Delay for Neural Networks
Design and Analysis of Two Prescribed-Time and Robust ZNN Models With Application to Time-Variant Stein Matrix Equation
Deep Attentive Video Summarization With Distribution Consistency Learning
Traffic management of a satellite communication network using stochastic optimization
A neuromorphic depth-from-motion vision model with STDP adaptation
Pattern Representation in Feature Extraction and Classifier Design: Matrix Versus Vector
Hierarchical Self-Attention Network for Industrial Data Series Modeling With Different Sampling Rates Between the Input and Output Sequences
Boosting Zero-Shot Learning via Contrastive Optimization of Attribute Representations
Optimized Neural Network Parameters Using Stochastic Fractal Technique to Compensate Kalman Filter for Power System-Tracking-State Estimation
The Deep Promotion Time Cure Model
A Simple Method for Solving the SVM Regularization Path for Semidefinite Kernels
Probabilistic Neural Network With Complex Exponential Activation Functions in Image Recognition
Reinforcement Learning-Based Fault-Tolerant Control of Uncertain Strict-Feedback Nonlinear Systems With Intermittent Actuator Faults
Bridging Task-Specific and Task-Interactive Features With Opportune Branching and Adaptive Attention for Object Detection
Stage-Wise Magnitude-Based Pruning for Recurrent Neural Networks
D2CFR: Minimize Counterfactual Regret With Deep Dueling Neural Network
Combining support vector machine learning with the discrete cosine transform in image compression
Deep Graph Multi-View Representation Learning With Self-Augmented View Fusion
Asynchronous Spatiotemporal Spike Metric for Event Cameras
Design and Application of a Variable Selection Method for Multilayer Perceptron Neural Network With LASSO
A VLSI array of low-power spiking neurons and bistable synapses with spike-timing dependent plasticity
Further Results on Delay-Dependent Stability Criteria of Neural Networks With Time-Varying Delays
A Continuous Volatility Forecasting Model Based on Neural Differential Equations and Scale-Similarity
Automatic Analysis of Facial Expressions Based on Deep Covariance Trajectories
Noise-Induced Stabilization of the Recurrent Neural Networks With Mixed Time-Varying Delays and Markovian-Switching Parameters
An Occlusion Compensation Learning Framework for Improving the Rendering Quality of Light Field
Separation of speech from interfering sounds based on oscillatory correlation
Training Lightweight Deep Convolutional Neural Networks Using Bag-of-Features Pooling
Power Attributed Graph Embedding and Clustering
Kinematic Control of Redundant Manipulators Using Neural Networks
Pair-v-SVR: A Novel and Efficient Pairing nu-Support Vector Regression Algorithm
Bidirectional Extreme Learning Machine for Regression Problem and Its Learning Effectiveness
Bearing-Based Adaptive Neural Formation Scaling Control for Autonomous Surface Vehicles With Uncertainties and Input Saturation
Symmetric Nonnegative Matrix Factorization: Algorithms and Applications to Probabilistic Clustering
Effective Streaming Low-Tubal-Rank Tensor Approximation via Frequent Directions
An Interacting Multiple Model for Trajectory Prediction of Intelligent Vehicles in Typical Road Traffic Scenario
Multisample Online Learning for Probabilistic Spiking Neural Networks
Parkinson's Disease Classification and Clinical Score Regression via United Embedding and Sparse Learning From Longitudinal Data
The Global Kernel k -Means Algorithm for Clustering in Feature Space
Anchor Association Learning for Unsupervised Video Person Re-Identification
Neural Dynamic Fault-Tolerant Scheme for Collaborative Motion Planning of Dual-Redundant Robot Manipulators
Shot-noise-limited performance of optical neural networks
Geometric Matching for Cross-Modal Retrieval
Dissipativity-Based Resilient Filtering of Periodic Markovian Jump Neural Networks With Quantized Measurements
Two Projection Neural Networks With Reduced Model Complexity for Nonlinear Programming
Latent Code Augmentation Based on Stable Diffusion for Data-Free Substitute Attacks
Model transitions in descending FLVQ
Neural networks for identification of nonlinear systems under random piecewise polynomial disturbances
Approximate Confidence and Prediction Intervals for Least Squares Support Vector Regression
Capabilities of a four-layered feedforward neural network: four layers versus three
Near Optimal Event-Triggered Control of Nonlinear Discrete-Time Systems Using Neurodynamic Programming
Neural Observer and Adaptive Neural Control Design for a Class of Nonlinear Systems
A programmable analog neural network processor
Differential Evolution Algorithm for Fast Gains Learning in a High-Gain Controller
Neurocontroller alternatives for "fuzzy" ball-and-beam systems with nonuniform nonlinear friction
Learning Tracking Over Unknown Fading Channels Based on Iterative Estimation
Yet another algorithm which can generate topography map
A Unified Framework for Data Visualization and Coclustering
Dynamic Graph Representation Learning via Coupling-Process Model
CATRO: Channel Pruning via Class-Aware Trace Ratio Optimization
Fuzzy algorithms for learning vector quantization
Second-order neural nets for constrained optimization
CMAC-based adaptive critic self-learning control
A Self-Paced Regularization Framework for Multilabel Learning
A tighter bound for the echo state property
Exact Passive-Aggressive Algorithms for Ordinal Regression Using Interval Labels
Bio-Motivated Two-Level Event-Triggered Controller for Nonlinear Systems
Zeroing Neural Network for Solving Time-Varying Linear Equation and Inequality Systems
Spatiotemporal Imputation of Traffic Emissions With Self-Supervised Diffusion Model
PRF-Net: A Progressive Remote Sensing Image Registration and Fusion Network
Learning Aggregated Transmission Propagation Networks for Haze Removal and Beyond
Novel Discretized Zeroing Neural Network Models for Time-Varying Optimization Aided With Predictor-Corrector Methods
LLP-GAN: A GAN-Based Algorithm for Learning From Label Proportions
Reinforcement Learning-Based Nearly Optimal Control for Constrained-Input Partially Unknown Systems Using Differentiator
VC-Dimension of Univariate Decision Trees
Self-Constructing Chebyshev Fuzzy Neural Complementary Sliding Mode Control and its Application
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning
Label-Aware Distribution Calibration for Long-Tailed Classification
Historical Decision-Making Regularized Maximum Entropy Reinforcement Learning
Editorial: A New Era for the IEEE Transactions on Neural Networks
Fourier-Neural-Network-Based Learning Control for a Class of Nonlinear Systems With Flexible Components
EEG-Based Motor Imagery Recognition Framework via Multisubject Dynamic Transfer and Iterative Self-Training
Transfer Learning-Motivated Intelligent Fault Diagnosis Designs: A Survey, Insights, and Perspectives
Face recognition using LDA-based algorithms
Privacy Enhancing Machine Learning via Removal of Unwanted Dependencies
Global Exponential Stability and Synchronization for Discrete-Time Inertial Neural Networks With Time Delays: A Timescale Approach
Delay-independent stability in bidirectional associative memory networks
A Learning Framework for n-Bit Quantized Neural Networks Toward FPGAs
Attention-Based Road Registration for GPS-Denied UAS Navigation
Data-Driven Adaptive Consensus Learning From Network Topologies
Convergence analysis of a deterministic discrete time system of Oja's PCA learning algorithm
Fusionformer: A Novel Adversarial Transformer Utilizing Fusion Attention for Multivariate Anomaly Detection
Suboptimal Scheduling in Switched Systems With Continuous-Time Dynamics: A Least Squares Approach
Observer-based direct adaptive fuzzy-neural control for nonaffine nonlinear systems
Precision constrained stochastic resonance in a feedforward neural network
Mutation-based genetic neural network
Regularized Negative Correlation Learning for Neural Network Ensembles
A Convolutional Neural Network Approach for Objective Video Quality Assessment
Predictive Approach for User Long-Term Needs in Content-Based Image Suggestion
Guiding Hidden Layer Representations for Improved Rule Extraction From Neural Networks
Encoding strategy for maximum noise tolerance bidirectional associative memory
Leader-Follower Output Synchronization of Linear Heterogeneous Systems With Active Leader Using Reinforcement Learning
Global Stabilization for a Class of Stochastic Nonlinear Time-Delay Systems With Unknown Measurement Drifts and Its Application
Evolutionary Fuzzy ARTMAP Neural Networks for Classification of Semiconductor Defects
Dual-Decoupling With Frequency-Spatial Domains for Image Manipulation Localization
Diversifying Collaborative Filtering via Graph Spreading Network and Selective Sampling
Coevolutionary Neural Solution for Nonconvex Optimization With Noise Tolerance
A New Projection-Based Neural Network for Constrained Variational Inequalities
Stability Analysis for Delayed Neural Networks Considering Both Conservativeness and Complexity
A Neurodynamic Approach for Real-Time Scheduling via Maximizing Piecewise Linear Utility
Iterative Learning Control for Discrete-Time Systems With Full Learnability
ERNN: A Biologically Inspired Feedforward Neural Network to Discriminate Emotion From EEG Signal
Bayes-optimality motivated linear and multilayered perceptron-based dimensionality reduction
SOMKE: Kernel Density Estimation Over Data Streams by Sequences of Self-Organizing Maps
PCNN Mechanism and its Parameter Settings
Learning Heterogeneous Relation Graph and Value Regularization Policy for Visual Navigation
Large developing receptive fields using a distributed and locally reprogrammable address-event receiver
A Dual-Masked Deep Structural Clustering Network With Adaptive Bidirectional Information Delivery
Geometric Bioinspired Networks for Recognition of 2-D and 3-D Low-Level Structures and Transformations
Maximum Margin Multiple Instance Clustering With Applications to Image and Text Clustering
MuLHiTA: A Novel Multiclass Classification Framework With Multibranch LSTM and Hierarchical Temporal Attention for Early Detection of Mental Stress
RPI-GGCN: Prediction of RNA-Protein Interaction Based on Interpretability Gated Graph Convolution Neural Network and Co-Regularized Variational Autoencoders
DRLIE: Flexible Low-Light Image Enhancement via Disentangled Representations
Optimal Tracking Control for a Class of Nonlinear Discrete-Time Systems With Time Delays Based on Heuristic Dynamic Programming
Improved Dual Correlation Reduction Network With Affinity Recovery
STDAN: Deformable Attention Network for Space-Time Video Super-Resolution
RegNet: Self-Regulated Network for Image Classification
A New Approach to Knowledge-Based Design of Recurrent Neural Networks
Editorial: Another Successful Year and Looking Forward to 2020
Learning a Probabilistic Topology Discovering Model for Scene Categorization
Lattice point sets for deterministic learning and approximate optimization problems
AEVAE: Adaptive Evolutionary Autoencoder for Anomaly Detection in Time Series
Dual-Channel Adaptive Scale Hypergraph Encoders With Cross-View Contrastive Learning for Knowledge Tracing
Adaptive Filter Design Using Type-2 Fuzzy Cerebellar Model Articulation Controller
Structure and properties of generalized adaptive neural filters for signal enhancement
Insights Into Multiple/Single Lower Bound Approximation for Extended Variational Inference in Non-Gaussian Structured Data Modeling
Editorial: A Successful Year and Looking Forward to 2017 and Beyond
Neural and statistical classifiers-taxonomy and two case studies