yusuke1997/dblp-id-title huggingface dataset:
SP-GAN: Self-Growing and Pruning Generative Adversarial Networks
The Field of Values of a Matrix and Neural Networks
An Event-Triggering Approach to Recursive Filtering for Complex Networks With State Saturations and Random Coupling Strengths
Programming Time-Multiplexed Reconfigurable Hardware Using a Scalable Neuromorphic Compiler
Fast Multiview Anchor-Graph Clustering
Causal Inference on Multidimensional Data Using Free Probability Theory
Multitask Learning for Joint Diagnosis of Multiple Mental Disorders in Resting-State fMRI
Some queries on "Comments on 'Approximation capability in C(R¯ n ) by multilayer feedforward networks and related problems'"
Image Super-Resolution via Adaptive ℓ p (0<p<1) Regularization and Sparse Representation
Multimodal Mutual Information Maximization: A Novel Approach for Unsupervised Deep Cross-Modal Hashing
A multilevel neural network for A/D conversion
Deep Clustering With Sample-Assignment Invariance Prior
Exploiting Data Topology in Visualization and Clustering of Self-Organizing Maps
Progressive Multigranularity Information Propagation for Coupled Aspect-Opinion Extraction
Modeling Self-Representation Label Correlations for Textual Aspects and Emojis Recommendation
An Experimental Study on Nonlinear Function Computation for Neural/Fuzzy Hardware Design
Visually Guided Sound Source Separation With Audio-Visual Predictive Coding
Adaptive Neural Output-Feedback Controller Design of Switched Nonlower Triangular Nonlinear Systems With Time Delays
An Improved Frequent Directions Algorithm for Low-Rank Approximation via Block Krylov Iteration
ADP-Based Event-Triggered Constrained Optimal Control on Spatiotemporal Process: Application to Temperature Field in Roller Kiln
Deep Ensemble Machine for Video Classification
Bayesian support vector regression using a unified loss function
Cascaded Attention: Adaptive and Gated Graph Attention Network for Multiagent Reinforcement Learning
New Criteria for Global Robust Stability of Delayed Neural Networks With Norm-Bounded Uncertainties
Practical and Robust Federated Learning With Highly Scalable Regression Training
Robust Multiview Subspace Learning With Nonindependently and Nonidentically Distributed Complex Noise
Optimal Adaptive Control of Uncertain Nonlinear Continuous-Time Systems With Input and State Delays
Enhancing Narrative Commonsense Reasoning With Multilevel Causal Knowledge
Weakly Supervised Complets Ranking for Deep Image Quality Modeling
Auxiliary Tasks Enhanced Dual-Affinity Learning for Weakly Supervised Semantic Segmentation
A neural-network model for learning domain rules based on its activation function characteristics
Multidimensional Measure Matching for Crowd Counting
iPool - Information-Based Pooling in Hierarchical Graph Neural Networks
Implementation issues of neuro-fuzzy hardware: going toward HW/SW codesign
Stability Analysis of Distributed Delay Neural Networks Based on Relaxed Lyapunov-Krasovskii Functionals
Two-Dimensional Quaternion PCA and Sparse PCA
Face recognition by independent component analysis
Identification and Control for Singularly Perturbed Systems Using Multitime-Scale Neural Networks
Bipolar spectral associative memories
On the Additive Properties of the Fat-Shattering Dimension
Self-Organizing Spiking Neural Model for Learning Fault-Tolerant Spatio-Motor Transformations
SPCNet: Deep Self-Paced Curriculum Network Incorporated With Inductive Bias
Transputers and neural networks: an analysis of implementation constraints and performance
Errata to "learning efficiency of redundant neural networks in bayesian estimation"
PIRNet: Personality-Enhanced Iterative Refinement Network for Emotion Recognition in Conversation
Sampling-Based Event-Triggered Exponential Synchronization for Reaction-Diffusion Neural Networks
An Efficient Parameter-Free Learning Automaton Scheme
A Priori Guaranteed Evolution Within the Neural Network Approximation Set and Robustness Expansion via Prescribed Performance Control
Recognizing Natural Images From EEG With Language-Guided Contrastive Learning
RKHS Bayes Discriminant: A Subspace Constrained Nonlinear Feature Projection for Signal Detection
Evolutionary computation and the vega risk of American put options
A generalized LMI-based approach to the global asymptotic stability of delayed cellular neural networks
Nesting One-Against-One Algorithm Based on SVMs for Pattern Classification
Broad Colorization
Explainable Intelligent Fault Diagnosis for Nonlinear Dynamic Systems: From Unsupervised to Supervised Learning
Synchronization of the Networked System With Continuous and Impulsive Hybrid Communications
TFDet: Target-Aware Fusion for RGB-T Pedestrian Detection
Toward Fine-Grained 3-D Visual Grounding Through Referring Textual Phrases
A parallel improvement algorithm for the bipartite subgraph problem
Large-Scale Nyström Kernel Matrix Approximation Using Randomized SVD
A Multi-Scale Progressive Collaborative Attention Network for Remote Sensing Fusion Classification
Hierarchical-Bayesian-Based Sparse Stochastic Configuration Networks for Construction of Prediction Intervals
Cluster Synchronization of Multiple Fractional-Order Recurrent Neural Networks With Time-Varying Delays
Tracking Algorithms for Multiagent Systems
Effects of moving the center's in an RBF network
Solution Path for Pin-SVM Classifiers With Positive and Negative τ Values
Decentralized Adaptive Neural Inverse Optimal Control of Nonlinear Interconnected Systems
An adaptive H ∞ controller design for bank-to-turn missiles using ridge Gaussian neural networks
Effects of Subsystem and Coupling on Synchronization of Multiple Neural Networks With Delays via Impulsive Coupling
Hierarchical Weight Averaging for Deep Neural Networks
CLRNet: A Cross Locality Relation Network for Crowd Counting in Videos
Globally Stable Adaptive Backstepping Neural Network Control for Uncertain Strict-Feedback Systems With Tracking Accuracy Known a Priori
Singularities of Three-Layered Complex-Valued Neural Networks With Split Activation Function
Canonical Correlation Analysis on Data With Censoring and Error Information
Improved Linear Convergence of Training CNNs With Generalizability Guarantees: A One-Hidden-Layer Case
AMITE: A Novel Polynomial Expansion for Analyzing Neural Network Nonlinearities
IPGAN: Generating Informative Item Pairs by Adversarial Sampling
Single net indirect learning architecture
Bayesian-Learning-Based Diffusion Least Mean Square Algorithms Over Networks
Generalizable Offline Multiobjective Reinforcement Learning via Preference-Conditioned Diffuser
Adaptive Decentralized Control for Interconnected Time-Delay Uncertain Nonlinear Systems With Different Unknown Control Directions and Deferred Full-State Constraints
Range image segmentation using a relaxation oscillator network
Resilient Optimal Defensive Strategy of Micro-Grids System via Distributed Deep Reinforcement Learning Approach Against FDI Attack
Simultaneous perturbation learning rule for recurrent neural networks and its FPGA implementation
Part-Based Semantic Transform for Few-Shot Semantic Segmentation
Actor-Critic Learning Control With Regularization and Feature Selection in Policy Gradient Estimation
Enhanced Spatial Feature Learning for Weakly Supervised Object Detection
Stochastic Conjugate Gradient Algorithm With Variance Reduction
Learning With Kernel Smoothing Models and Low-Discrepancy Sampling
Working Set Selection Using Functional Gain for LS-SVM
A Reinforcement Learning-Based Pantograph Control Strategy for Improving Current Collection Quality in High-Speed Railways
Neural network applications for jamming state information generator
Neural associative memory storing gray-coded gray-scale images
Vibration Suppression of a High-Rise Building With Adaptive Iterative Learning Control
Antidecay LSTM for Siamese Tracking With Adversarial Learning
Randomized Gradient-Free Method for Multiagent Optimization Over Time-Varying Networks
Counterfactual Dual-Bias VQA: A Multimodality Debias Learning for Robust Visual Question Answering
Exploiting Spatio-Temporal Structure With Recurrent Winner-Take-All Networks
Neural Network-Based Model-Free Adaptive Near-Optimal Tracking Control for a Class of Nonlinear Systems
Adaptive learning method in self-organizing map for edge preserving vector quantization
Representation-Learning-Based CNN for Intelligent Attack Localization and Recovery of Cyber-Physical Power Systems
SCM: Spatially Coherent Matching With Gaussian Field Learning for Nonrigid Point Set Registration
Model-Based Reinforcement Learning for Infinite-Horizon Approximate Optimal Tracking
Adachi-Like Chaotic Neural Networks Requiring Linear-Time Computations by Enforcing a Tree-Shaped Topology
Multiperspective Progressive Structure Adaptation for JPEG Steganography Detection Across Domains
Novel Finite-Time Synchronization Criteria for Inertial Neural Networks With Time Delays via Integral Inequality Method
Approximate Kernel Selection via Matrix Approximation
Neuromemristive Circuits for Edge Computing: A Review
Toward Generalized Multistage Clustering: Multiview Self-Distillation
Self-Lateral Propagation Elevates Synaptic Modifications in Spiking Neural Networks for the Efficient Spatial and Temporal Classification
Unsupervised clustering with spiking neurons by sparse temporal coding and multilayer RBF networks
DPNet: Dual-Path Network for Real-Time Object Detection With Lightweight Attention
Momentum Acceleration in the Individual Convergence of Nonsmooth Convex Optimization With Constraints
Long-term attraction in higher order neural networks
Fast neural net simulation with a DSP processor array
SLOGAN: Handwriting Style Synthesis for Arbitrary-Length and Out-of-Vocabulary Text
Wavelet Transformer: An Effective Method on Multiple Periodic Decomposition for Time Series Forecasting
Translation, rotation, and scale invariant pattern recognition by high-order neural networks and moment classifiers
A method for improving classification reliability of multilayer perceptrons
A neural network for a class of convex quadratic minimax problems with constraints
Model-Free Primitive-Based Iterative Learning Control Approach to Trajectory Tracking of MIMO Systems With Experimental Validation
PPGF: Probability Pattern-Guided Time Series Forecasting
Weakly Supervised Person Re-ID: Differentiable Graphical Learning and a New Benchmark
Learning Without Human Expertise: A Case Study of the Double Dummy Bridge Problem
Toward Ultralow-Power Neuromorphic Speech Enhancement With Spiking-FullSubNet
Progressively Learning to Reach Remote Goals by Continuously Updating Boundary Goals
Learning Accurate and Stable Dynamical System Under Manifold Immersion and Submersion
DAIS: Automatic Channel Pruning via Differentiable Annealing Indicator Search
Observer-Based Fault-Tolerant Finite-Time Control of Nonlinear Multiagent Systems
Hybrid Sampling-Based Clustering Ensemble With Global and Local Constitutions
Comparative Performance of Complex-Valued B-Spline and Polynomial Models Applied to Iterative Frequency-Domain Decision Feedback Equalization of Hammerstein Channels
Design of a perceptron-like algorithm based on system identification techniques
Iterative Deep Structural Graph Contrast Clustering for Multiview Raw Data
Information criteria for support vector machines
Automatic Design of Deep Graph Neural Networks With Decoupled Mode
Multilevel Distribution Alignment for Multisource Universal Domain Adaptation
Global Clue-Guided Cross-Memory Quaternion Transformer Network for Multisource Remote Sensing Data Classification
Online Nonnegative Matrix Factorization With Robust Stochastic Approximation
A Locality-Constrained and Label Embedding Dictionary Learning Algorithm for Image Classification
A Generalized Model for Robust Tensor Factorization With Noise Modeling by Mixture of Gaussians
A Novel Neural Network for Remote Sensing Image Matching
Data Cleansing for GANs
A Policy Resonance Approach to Solve the Problem of Responsibility Diffusion in Multiagent Reinforcement Learning
Contrast-Oriented Deep Neural Networks for Salient Object Detection
No free lunch with the sandwich [sandwich estimator]
Multiview Multi-Instance Multilabel Active Learning
Knowledge-based fuzzy MLP for classification and rule generation
Avoiding Congestion in Cluster Consensus of the Second-Order Nonlinear Multiagent Systems
Unsupervised and Semisupervised Projection With Graph Optimization
Deductive Reinforcement Learning for Visual Autonomous Urban Driving Navigation
Approximate Dynamic Programming for Optimal Stationary Control With Control-Dependent Noise
Novel Formulation of Adaptive MPC as EKF Using ANN Model: Multiproduct Semibatch Polymerization Reactor Case Study
Hawk: Rapid Android Malware Detection Through Heterogeneous Graph Attention Networks
Label Consistency-Based Ground Truth Inference for Crowdsourcing
Support vector machine with adaptive parameters in financial time series forecasting
Bioinspired Neural Network for Real-Time Cooperative Hunting by Multirobots in Unknown Environments
A Novel Neural Network for Solving Nonsmooth Nonconvex Optimization Problems
Stabilization of Neural-Network-Based Control Systems via Event-Triggered Control With Nonperiodic Sampled Data
ZeRGAN: Zero-Reference GAN for Fusion of Multispectral and Panchromatic Images
MTC: A Fast and Robust Graph-Based Transductive Learning Method
Deep Energy-Based Discrete-Time Physical Model for Reproducing Energetic Behavior
Adaptive Robust Control of Uncertain Euler-Lagrange Systems Using Gaussian Processes
Bankruptcy analysis with self-organizing maps in learning metrics
A Forward and Backward Compatible Framework for Few-Shot Class-Incremental Pill Recognition
An analog neural hardware implementation using charge-injection multipliers and neutron-specific gain control
Cardinality Constrained Portfolio Optimization via Alternating Direction Method of Multipliers
A Novel Convolutional Neural Network Model Based on Beetle Antennae Search Optimization Algorithm for Computerized Tomography Diagnosis
Simultaneous Pattern Classification and Multidomain Association Using Self-Structuring Kernel Memory Networks
Simple model of spiking neurons
MIT: Mutual Information Topic Model for Diverse Topic Extraction
Knowledge Distillation for Face Photo-Sketch Synthesis
What Are the Differences Between Bayesian Classifiers and Mutual-Information Classifiers?
Robust stability for interval Hopfield neural networks with time delay
Robust Least-Squares Support Vector Machine With Minimization of Mean and Variance of Modeling Error
Memristor-Based Multilayer Neural Networks With Online Gradient Descent Training
Optimal Fault-Tolerant Control for Discrete-Time Nonlinear Strict-Feedback Systems Based on Adaptive Critic Design
Multi-Scale Hybrid Fusion Network for Single Image Deraining
Any reasonable cost function can be used for a posteriori probability approximation
Bayesian Nonparametric Regression Modeling of Panel Data for Sequential Classification
Oversampling the Minority Class in the Feature Space
Simultaneous Global and Local Graph Structure Preserving for Multiple Kernel Clustering
Neural-Network-Based Adaptive Resilient Dynamic Surface Control Against Unknown Deception Attacks of Uncertain Nonlinear Time-Delay Cyberphysical Systems
Bridging the Theoretical Bound and Deep Algorithms for Open Set Domain Adaptation
USV Formation and Path-Following Control via Deep Reinforcement Learning With Random Braking
Distributed Cooperative Learning Control of Uncertain Multiagent Systems With Prescribed Performance and Preserved Connectivity
Imitation Learning: Progress, Taxonomies and Challenges
Triple-Memory Networks: A Brain-Inspired Method for Continual Learning
Novel Continuous- and Discrete-Time Neural Networks for Solving Quadratic Minimax Problems With Linear Equality Constraints
Continual Multiview Task Learning via Deep Matrix Factorization
Inductive inference from noisy examples using the hybrid finite state filter
Low-Voltage Low-Power Integrable CMOS Circuit Implementation of Integer- and Fractional-Order FitzHugh-Nagumo Neuron Model
Color clustering and learning for image segmentation based on neural networks
Adaptive NN-Based Consensus for a Class of Nonlinear Multiagent Systems With Actuator Faults and Faulty Networks
Spatiotemporal Transformation-Based Neural Network With Interpretable Structure for Modeling Distributed Parameter Systems
Learning a Low-Dimensional Representation of a Safe Region for Safe Reinforcement Learning on Dynamical Systems
Algorithmic Survey of Parametric Value Function Approximation
One-Class Classifiers Based on Entropic Spanning Graphs
Context-dependent neural nets-structures and learning
An adaptive multiobjective approach to evolving ART architectures
Dynamic Neural Network Predictive Compensation-Based Point-to-Point Iterative Learning Control With Nonuniform Batch Length
RPCA-AENet: Clutter Suppression and Simultaneous Stationary Scene and Moving Targets Imaging in the Presence of Motion Errors
Temporal Processing in primate motor control: relation between cortical and EMG activity
DISC: Deep Image Saliency Computing via Progressive Representation Learning
SSC: A Classifier Combination Method Based on Signal Strength
Soft Subspace Based Ensemble Clustering for Multivariate Time Series Data
A Comprehensively Adaptive Architectural Optimization-Ingrained Quantum Neural Network Model for Cloud Workloads Prediction
Finite-Time Consensus Tracking Neural Network FTC of Multi-Agent Systems
Gradual perception of structure from motion: a neural approach
Hyperspectral Image Super Resolution With Real Unaligned RGB Guidance
End-to-End Video Saliency Detection via a Deep Contextual Spatiotemporal Network
Sequence Prediction With Sparse Distributed Hyperdimensional Coding Applied to the Analysis of Mobile Phone Use Patterns
Robust Low-Rank Latent Feature Analysis for Spatiotemporal Signal Recovery
A Weightedly Uniform Detectability for Sensor Networks
Block-Based Neural Networks for Personalized ECG Signal Classification
Adaptive NN Controller of Nonlinear State-Dependent Constrained Systems With Unknown Control Direction
The self-trapping attractor neural network. I. Analysis of a simple 1-D model
Feature fusion using locally linear embedding for classification
Simple and Effective: Spatial Rescaling for Person Reidentification
Adaptive Neural Event-Triggered Control of Networked Markov Jump Systems Under Hybrid Cyberattacks
Uncertainty of data, fuzzy membership functions, and multilayer perceptrons
Semisupervised Feature Selection Based on Relevance and Redundancy Criteria
The self-organizing field [Kohonen maps]
Dynamic Modality-Camera-Invariant Clustering for Unsupervised Visible-Infrared Person Re-Identification
Pyramid Pixel Context Adaption Network for Medical Image Classification With Supervised Contrastive Learning
A Survey of Attacks on Large Vision-Language Models: Resources, Advances, and Future Trends
An empirical investigation of bias and variance in time series forecasting: modeling considerations and error evaluation
A Meta-Learning Approach for Training Explainable Graph Neural Networks
Editorial: Booming of Neural Networks and Learning Systems
Multiple Kernel k-Means Clustering by Selecting Representative Kernels
Automated Induction of Heterogeneous Proximity Measures for Supervised Spectral Embedding
Domain Adversarial Reinforcement Learning for Partial Domain Adaptation
Margin Distribution Analysis
Wavelet Basis Function Neural Networks for Sequential Learning
Multiuser Receiver for DS-CDMA Signals in Multipath Channels: An Enhanced Multisurface Method
A parallel algorithm for tiling problems
Spiking, Bursting, and Population Dynamics in a Network of Growth Transform Neurons
Dual Causes Generation Assisted Model for Multimodal Aspect-Based Sentiment Classification
A Collaborative Multimodal Learning-Based Framework for COVID-19 Diagnosis
Improved GART Neural Network Model for Pattern Classification and Rule Extraction With Application to Power Systems
SO dynamic deformation for building of 3-D models
Clustering of the self-organizing map
Dissipativity Analysis for Neural Networks With Time-Varying Delays via a Delay-Product-Type Lyapunov Functional Approach
A Formal Characterization of Activation Functions in Deep Neural Networks
Visual Perception Generalization for Vision-and-Language Navigation via Meta-Learning
Self-Supervised Time Series Clustering With Model-Based Dynamics
Semantic Prompt Enhancement for Semi-Supervised Low-Light Salient Object Detection
Dual RBFNNs-Based Model-Free Adaptive Control With Aspen HYSYS Simulation
Robust Blind Learning Algorithm for Nonlinear Equalization Using Input Decision Information
Penalized preimage learning in kernel principal component analysis
Design quality and robustness with neural networks
Determination of the Edge of Criticality in Echo State Networks Through Fisher Information Maximization
Managing Category Proliferation in Fuzzy ARTMAP Caused by Overlapping Classes
Multiple Ordinal Regression by Maximizing the Sum of Margins
Category-Level 6-D Object Pose Estimation With Shape Deformation for Robotic Grasp Detection
Hierarchical Change-Detection Tests
Neural and fuzzy computation techniques for playout delay adaptation in VoIP networks
Particle-Filter-Based State Estimation for Delayed Artificial Neural Networks: When Probabilistic Saturation Constraints Meet Redundant Channels
Low-Rank Tensor Completion Based on Self-Adaptive Learnable Transforms
Periodic symmetric functions, serial addition, and multiplication with neural networks
Balanced Federated Semisupervised Learning With Fairness-Aware Pseudo-Labeling
Scalable Moment Propagation and Analysis of Variational Distributions for Practical Bayesian Deep Learning
Neural discriminant analysis
Speeding up the learning of robot kinematics through function decomposition
Physical Adversarial Attacks for Surveillance: A Survey
Massive-Scale Aerial Photo Categorization by Cross-Resolution Visual Perception Enhancement
Restricted Minimum Error Entropy Criterion for Robust Classification
Multilevel Graph Matching Networks for Deep Graph Similarity Learning
Incremental Learning of Concept Drift in Nonstationary Environments
Prediction of noisy chaotic time series using an optimal radial basis function neural network
Comparison of Anomaly Detectors: Context Matters
Two-Level Graph Neural Network
Kernel Reconstruction ICA for Sparse Representation
Data-Based Output Synchronization of Multi-Agent Systems With Actuator Faults
Learning Objective Adaptation by Correlation-Based Model Reuse
Neuroadaptive Fault-Tolerant Control With Unsynchronized Event Triggering for Actuation Updating and Parameter Adaptation
Comparing the Pretrained Models of Source Code by Re-pretraining Under a Unified Setup
Brain-Inspired Search Engine Assistant Based on Knowledge Graph
Multiperiodicity of Discrete-Time Delayed Neural Networks Evoked by Periodic External Inputs
Adaptive power control for wireless networks using multiple controllers and switching
Robust Kernelized Multiview Self-Representation for Subspace Clustering
Neural Network-Based Nonconservative Predefined-Time Backstepping Control for Uncertain Strict-Feedback Nonlinear Systems
Adding learning to cellular genetic algorithms for training recurrent neural networks
DVGMAE: Self-Supervised Dynamic Variational Graph Masked Autoencoder
Adaptive Chunk-Based Dynamic Weighted Majority for Imbalanced Data Streams With Concept Drift
Asymmetric Feature Fusion Network for Hyperspectral and SAR Image Classification
Error-Based Learning Mechanism for Fast Online Adaptation in Robot Motor Control
H ∞ State Estimation for Complex Networks With Uncertain Inner Coupling and Incomplete Measurements
Self-Organizing Robust Fuzzy Neural Network for Nonlinear System Modeling
Adaptive NN Controller Design for a Class of Nonlinear MIMO Discrete-Time Systems
Spectral Tensor Layers for Communication-Free Distributed Deep Learning
BihoT: A Large-Scale Dataset and Benchmark for Hyperspectral Camouflaged Object Tracking
Learning Skill Characteristics From Manipulations
Load characterization and anomaly detection for voice over IP traffic
Wavelet Pyramid Recurrent Structure-Preserving Attention Network for Single Image Super-Resolution
Synergistic Attention-Guided Cascaded Graph Diffusion Model for Complementarity Determining Region Synthesis