yusuke1997/dblp-id-title huggingface dataset:
AFS Graph: Multidimensional Axiomatic Fuzzy Set Knowledge Graph for Open-Domain Question Answering
Policy Gradient-Based Core Placement Optimization for Multichip Many-Core Systems
Weight smoothing to improve network generalization
Discontinuous Event-Triggered Control for Local Stabilization of Memristive Neural Networks With Actuator Saturation: Discrete- and Continuous-Time Lyapunov Methods
Online Heterogeneous Transfer by Hedge Ensemble of Offline and Online Decisions
Basic dynamics from a pulse-coupled network of autonomous integrate-and-fire chaotic circuits
Internal Feature Selection Method of CSP Based on L1-Norm and Dempster-Shafer Theory
Spatiotemporal Decouple-and-Squeeze Contrastive Learning for Semisupervised Skeleton-Based Action Recognition
A Two-Timescale Duplex Neurodynamic Approach to Biconvex Optimization
Community Detection via Autoencoder-Like Nonnegative Tensor Decomposition
Hyperspectral Pansharpening With Deep Priors
Improving Leung's bidirectional learning rule for associative memories
Robust Subspace Clustering by Cauchy Loss Function
Classifiability-Based Discriminatory Projection Pursuit
An Expectation-Maximization Method for Spatio-Temporal Blind Source Separation Using an AR-MOG Source Model
Image Understanding Applications of Lattice Autoassociative Memories
Compact Image Representation Model Based on Both nCRF and Reverse Control Mechanisms
Deep Learning-Based 2-D Frequency Estimation of Multiple Sinusoidals
Landslide Displacement Prediction With Uncertainty Based on Neural Networks With Random Hidden Weights
Lattice Dynamical Wavelet Neural Networks Implemented Using Particle Swarm Optimization for Spatio-Temporal System Identification
A Colorectal Coordinate-Driven Method for Colorectum and Colorectal Cancer Segmentation in Conventional CT Scans
Passivity and Passification of Memristor-Based Recurrent Neural Networks With Additive Time-Varying Delays
Deep Learning and Symbolic Regression for Discovering Parametric Equations
A comparison of nonlinear methods for predicting earnings surprises and returns
DNN-kWTA With Bounded Random Offset Voltage Drifts in Threshold Logic Units
The Kernel Adaptive Autoregressive-Moving-Average Algorithm
Count Data Modeling and Classification Using Finite Mixtures of Distributions
Nonlinear Knowledge in Kernel Approximation
Highly Robust Vehicle Lateral Localization Using Multilevel Robust Network
Practical Conditions for Effectiveness of the Universum Learning
p th Moment Exponential Input-to-State Stability of Delayed Recurrent Neural Networks With Markovian Switching via Vector Lyapunov Function
A neural network approach to a Bayesian statistical decision problem
Performance of the Bayesian Online Algorithm for the Perceptron
Stochastic Gradient-Adaptive Complex-Valued Nonlinear Neural Adaptive Filters With a Gradient-Adaptive Step Size
FPGA implementation of a pulse density neural network with learning ability using simultaneous perturbation
A recurrent self-organizing neural fuzzy inference network
One-Stage Shifted Laplacian Refining for Multiple Kernel Clustering
A comparison of methods for multiclass support vector machines
Deep Latent Low-Rank Representation for Face Sketch Synthesis
A Kernel-Based Two-Class Classifier for Imbalanced Data Sets
NFDTD concept
New MPLS network management techniques based on adaptive learning
Transfer Learning for Visual Categorization: A Survey
Cross-Modal Metric Learning for AUC Optimization
Model-Based Transfer Reinforcement Learning Based on Graphical Model Representations
Adaptive Bipartite Fixed-Time Time-Varying Output Formation-Containment Tracking of Heterogeneous Linear Multiagent Systems
Incorporating the loss function into discriminative clustering of structured outputs
Effect of Time-Varying Multiplicative Noise on DNN-kWTA Model
AdvMixUp: Adversarial MixUp Regularization for Deep Learning
A Revised Formation of Trace Ratio LDA for Small Sample Size Problem
Multiscale approximation with hierarchical radial basis functions networks
An Integrated Reinforcement Learning and Centralized Programming Approach for Online Taxi Dispatching
DnRCNN: Deep Recurrent Convolutional Neural Network for HSI Destriping
Asymptotic Tracking Control for Uncertain Nonlinear Strict-Feedback Systems With Unknown Time-Varying Delays
On the Non-STDP Behavior and Its Remedy in a Floating-Gate Synapse
Improving Deep Neural Networks' Training for Image Classification With Nonlinear Conjugate Gradient-Style Adaptive Momentum
Deep Unsupervised Active Learning on Learnable Graphs
User adaptive handwriting recognition by self-growing probabilistic decision-based neural networks
Recent Advances in Conventional and Deep Learning-Based Depth Completion: A Survey
A Survey of Neural Trees: Co-Evolving Neural Networks and Decision Trees
Nonblind Image Deblurring via Deep Learning in Complex Field
Support Vector Networks in Adaptive Friction Compensation
Leader-Following Event-Triggered Adaptive Practical Consensus of Multiple Rigid Spacecraft Systems Over Jointly Connected Networks
AMS-Net: Modeling Adaptive Multi-Granularity Spatio-Temporal Cues for Video Action Recognition
Constructing Accurate and Efficient Deep Spiking Neural Networks With Double-Threshold and Augmented Schemes
Broad Learning System Based on Maximum Correntropy Criterion
A Systematic Study of Online Class Imbalance Learning With Concept Drift
BoostXML: Gradient Boosting for Extreme Multilabel Text Classification With Tail Labels
Characteristics of multidimensional holographic associative memory in retrieval with dynamically localizable attention
Ternary Compression for Communication-Efficient Federated Learning
A Survey on CPG-Inspired Control Models and System Implementation
Analysis of Continuous Attractors for 2-D Linear Threshold Neural Networks
Leader-Following Consensus Control for Uncertain Feedforward Stochastic Nonlinear Multiagent Systems
Neural fraud detection in credit card operations
Stability and Dissipativity Analysis of Static Neural Networks With Time Delay
Blind separation of mutually correlated sources using precoders
The parameterless self-organizing map algorithm
Relevance Vector Machine for Survival Analysis
Hyperspectral Anomaly Detection Using Reconstruction Fusion of Quaternion Frequency Domain Analysis
Sensor Integration for Satellite-Based Vehicular Navigation Using Neural Networks
Homophily-Enhanced Self-Supervision for Graph Structure Learning: Insights and Directions
Extended Hamiltonian Learning on Riemannian Manifolds: Theoretical Aspects
Distribution-Preserving Stratified Sampling for Learning Problems
PEPSI++: Fast and Lightweight Network for Image Inpainting
Interpretable Optimization-Inspired Deep Network for Off-Grid Frequency Estimation
Evaluating the Visualization of What a Deep Neural Network Has Learned
Synchronization of Coupled Time-Delay Neural Networks With Mode-Dependent Average Dwell Time Switching
Aerial Images Meet Crowdsourced Trajectories: A New Approach to Robust Road Extraction
Automatic Metric Search for Few-Shot Learning
Transductive Relation-Propagation With Decoupling Training for Few-Shot Learning
Multilabel Classification Using Error-Correcting Codes of Hard or Soft Bits
Exploring Separable Attention for Multi-Contrast MR Image Super-Resolution
Pattern Recognition And Neural Networks [Book Reviews]
Competitive learning with generalized winner-take-all activation
Supervised neural network modeling: an empirical investigation into learning from imbalanced data with labeling errors
Multistability and New Attraction Basins of Almost-Periodic Solutions of Delayed Neural Networks
Bayesian Recurrent Neural Network for Language Modeling
Multiwavelet neural network and its approximation properties
Synchronization Analysis of Discrete-Time Fractional-Order Quaternion-Valued Uncertain Neural Networks
Comparative nonlinear modeling of renal autoregulation in rats: Volterra approach versus artificial neural networks
The effects of limited-precision weights on the threshold Adaline
Improved Stability Criteria for Delayed Neural Networks via Time-Varying Free-Weighting Matrices and S-Procedure
A Robust AUC Maximization Framework With Simultaneous Outlier Detection and Feature Selection for Positive-Unlabeled Classification
Hypergraph Foundation Model for Brain Disease Diagnosis
Deep Hierarchical Multimodal Metric Learning
A Minibatch Proximal Stochastic Recursive Gradient Algorithm Using a Trust-Region-Like Scheme and Barzilai-Borwein Stepsizes
Online Optimal Adaptive Control of Partially Uncertain Nonlinear Discrete-Time Systems Using Multilayer Neural Networks
Partial-Nodes-Based State Estimation for Complex Networks With Unbounded Distributed Delays
Deep Learning Method Based on Gated Recurrent Unit and Variational Mode Decomposition for Short-Term Wind Power Interval Prediction
FET-LM: Flow-Enhanced Variational Autoencoder for Topic-Guided Language Modeling
Reduced-Complexity Algorithms for Tessarine Neural Networks
Prescribed Performance Adaptive Neural Compensation Control for Intermittent Actuator Faults by State and Output Feedback
Tensor Networks for Latent Variable Analysis: Novel Algorithms for Tensor Train Approximation
Radial basis function networks and complexity regularization in function learning
Automatic Graph Topology-Aware Transformer
Deep Manifold Learning Combined With Convolutional Neural Networks for Action Recognition
Foregroundness-Aware Task Disentanglement and Self-Paced Curriculum Learning for Domain Adaptive Object Detection
Neuroadaptive Fault-Tolerant Control Under Multiple Objective Constraints With Applications to Tire Production Systems
Unpaired Multi-View Graph Clustering With Cross-View Structure Matching
Synchronization and Control for Multiweighted and Directed Complex Networks
Sign-Based Gradient Descent With Heterogeneous Data: Convergence and Byzantine Resilience
A Q -Learning Approach to Derive Optimal Consumption and Investment Strategies
Neural network adaptive image coding
Fault-Tolerant Indirect Adaptive Neurocontrol for a Static Synchronous Series Compensator in a Power Network With Missing Sensor Measurements
Strategic Evolutionary Reinforcement Learning With Operator Selection and Experience Filter
Minimising Added Classification Error Using Walsh Coefficients
Solving the Assignment Problem Using Continuous-Time and Discrete-Time Improved Dual Networks
Cross-Cloud Consistency for Weakly Supervised Point Cloud Semantic Segmentation
Behavioral Learning in a Cognitive Neuromorphic Robot: An Integrative Approach
A neural computation model with short-term memory
Survey on Large Language Model-Enhanced Reinforcement Learning: Concept, Taxonomy, and Methods
Random Hyperboxes
A Reinforcement Learning Control Framework Based on Scalable Graph Transformer for Large-Scale Fuzzy Job Shop Scheduling Problems
Input-State Approach to Boolean Networks
Multiple descent cost competition: restorable self-organization and multimedia information processing
Preconditioned Stochastic Gradient Descent
Continuous Dynamical Combination of Short and Long-Term Forecasts for Nonstationary Time Series
Codeword distribution for frequency sensitive competitive learning with one-dimensional input data
Distributional Policy Gradient With Distributional Value Function
Adaptive Neural Tracking Control for a Class of Nonstrict-Feedback Stochastic Nonlinear Systems With Unknown Backlash-Like Hysteresis
Multicontrast MRI Super-Resolution via Transformer-Empowered Multiscale Contextual Matching and Aggregation
Multistructure Contrastive Learning for Pretraining Event Representation
Triplet Spike Time-Dependent Plasticity in a Floating-Gate Synapse
Generalized and Robust Least Squares Regression
Cooperative-competitive genetic evolution of radial basis function centers and widths for time series prediction
Hopfield network with constraint parameter adaptation for overlapped shape recognition
Holistic-Guided Disentangled Learning With Cross-Video Semantics Mining for Concurrent First-Person and Third-Person Activity Recognition
ART-EMAP: A neural network architecture for object recognition by evidence accumulation
Memristive Circuit Implementation of a Self-Repairing Network Based on Biological Astrocytes in Robot Application
Perceptron-based learning algorithms
Missile Guidance Law Based on Robust Model Predictive Control Using Neural-Network Optimization
Learning Flow-Based Disentanglement
Semisupervised Boundary Detection for Aluminum Grains Combined With Transfer Learning and Region Growing
Distance Transform Pooling Neural Network for LiDAR Depth Completion
Design Principles for Central Pattern Generators With Preset Rhythms
Adaptive Neural Output Feedback Tracking Control for a Class of Uncertain Discrete-Time Nonlinear Systems
Online Active Learning for Drifting Data Streams
A Growing and Pruning Method for Radial Basis Function Networks
Global convergence analysis of a discrete time nonnegative ICA algorithm
Function approximation using generalized adalines
On overfitting, generalization, and randomly expanded training sets
Variational Bayesian Mixture Model on a Subspace of Exponential Family Distributions
Dynamic Learning From Neural Control for Strict-Feedback Systems With Guaranteed Predefined Performance
Mahalanobis Distance on Extended Grassmann Manifolds for Variational Pattern Analysis
RAP Vol: Robust Adversary Populations With Volume Diversity Measure
Feasibility and Finite Convergence Analysis for Accurate On-Line $\nu$-Support Vector Machine
Kolmogorov's spline network
An axiomatic approach to soft learning vector quantization and clustering
Node Classification in Networks via Simplicial Interactions
Exploring Attention and Self-Supervised Learning Mechanism for Graph Similarity Learning
Event-Triggered Exponential Synchronization for Complex-Valued Memristive Neural Networks With Time-Varying Delays
A Signed Subgraph Encoding Approach via Linear Optimization for Link Sign Prediction
Multiplication-free radial basis function network
LPOT: Locality-Preserving Gromov-Wasserstein Discrepancy for Nonrigid Point Set Registration
Neuromorphic System Using Memcapacitors and Autonomous Local Learning
Using Digital Masks to Enhance the Bandwidth Tolerance and Improve the Performance of On-Chip Reservoir Computing Systems
A node pruning algorithm based on a Fourier amplitude sensitivity test method
Synchronization of Hierarchical Time-Varying Neural Networks Based on Asynchronous and Intermittent Sampled-Data Control
Online Learning ARMA Controllers With Guaranteed Closed-Loop Stability
Pull-Based Distributed Event-Triggered Consensus for Multiagent Systems With Directed Topologies
Model-Based Adaptive Event-Triggered Control of Strict-Feedback Nonlinear Systems
Potential Flow Generator With L 2 Optimal Transport Regularity for Generative Models
Structure-Exploiting Discriminative Ordinal Multioutput Regression
Nonstationary Discrete Convolution Kernel for Multimodal Process Monitoring
The Strength of Nesterov's Extrapolation in the Individual Convergence of Nonsmooth Optimization
UBG: An Unreal BattleGround Benchmark With Object-Aware Hierarchical Proximal Policy Optimization
Unsupervised Monocular Depth Estimation With Channel and Spatial Attention
Global Search and Analysis for the Nonconvex Two-Level ℓ₁ Penalty
Objective functions for training new hidden units in constructive neural networks
An Interpretable Neural Control Network With Adaptable Online Learning for Sample Efficient Robot Locomotion Learning
Tropical cyclone identification and tracking system using integrated neural oscillatory elastic graph matching and hybrid RBF network track mining techniques
A simple procedure for pruning back-propagation trained neural networks
Errata: Distributed Event-Triggered Adaptive Control for Cooperative Output Regulation of Heterogeneous Multi-Agent Systems Under Switching Topology
Synchronization and Consensus in Networks of Linear Fractional-Order Multi-Agent Systems via Sampled-Data Control
Deep Deterministic Policy Gradient With Compatible Critic Network
Finite-Time Synchronization of Complex Dynamical Networks via a Novel Hybrid Controller
Deep Reinforcement Learning for Sequence-to-Sequence Models
Synergetic Learning Neuro-Control for Unknown Affine Nonlinear Systems With Asymptotic Stability Guarantees
Network Robustness Prediction: Influence of Training Data Distributions
Stability Analysis of Optimal Adaptive Control Under Value Iteration Using a Stabilizing Initial Policy
Perceptron Theory Can Predict the Accuracy of Neural Networks
A geometric approach to Support Vector Machine (SVM) classification
Stabilizing Training of Generative Adversarial Nets via Langevin Stein Variational Gradient Descent
Generalization and Expressivity for Deep Nets
Global and partial synchronism in phase-locked loop networks
Active State Estimation for Nonlinear Systems: A Neural Approximation Approach
Dynamically Weighted Balanced Loss: Class Imbalanced Learning and Confidence Calibration of Deep Neural Networks
An artificial immune system approach with secondary response for misbehavior detection in mobile ad hoc networks
GANE: A Generative Adversarial Network Embedding
Training Dataset Curation by L 1 -Norm Principal-Component Analysis for Support Vector Machines
Convolutional Neural Network With Developmental Memory for Continual Learning
Multiobjective Support Vector Machines: Handling Class Imbalance With Pareto Optimality
Using the EM algorithm to train neural networks: misconceptions and a new algorithm for multiclass classification
Elements Of Artificial Neural Networks [Book Reviews]
Probabilistic Guaranteed Gradient Learning-Based Spark Advance Self-Optimizing Control for Spark-Ignited Engines
Developing higher-order networks with empirically selected units
Size and Depth of Monotone Neural Networks: Interpolation and Approximation
A class of neural networks for independent component analysis
BViT: Broad Attention-Based Vision Transformer
Ensemble Pruning Using Spectral Coefficients
On Optimal Time-Varying Feedback Controllability for Probabilistic Boolean Control Networks
Variational Bayesian Learning of Generalized Dirichlet-Based Hidden Markov Models Applied to Unusual Events Detection
Exponential Synchronization of Complex Networks of Linear Systems and Nonlinear Oscillators: A Unified Analysis
Multiobjective genetic algorithm partitioning for hierarchical learning of high-dimensional pattern spaces: a learning-follows-decomposition strategy
A parallel network for visual cognition
ES-dRNN: A Hybrid Exponential Smoothing and Dilated Recurrent Neural Network Model for Short-Term Load Forecasting
Chaos and fractals from a forced artificial neural cell
Backpropagation of pseudo-errors: neural networks that are adaptive to heterogeneous noise
Element-Wise Feature Relation Learning Network for Cross-Spectral Image Patch Matching
An analog implementation of discrete-time cellular neural networks
Adaptive Reliable H ∞ Static Output Feedback Control Against Markovian Jumping Sensor Failures
Nonparametric Density Estimation Based on Self-Organizing Incremental Neural Network for Large Noisy Data
On Exploring the Potential of Quantum Auto-Encoder for Learning Quantum Systems
Approximate robust policy iteration using multilayer perceptron neural networks for discounted infinite-horizon Markov decision processes with uncertain correlated transition matrices
Finite-Time Synchronization of Markovian Coupled Neural Networks With Delays via Intermittent Quantized Control: Linear Programming Approach
Neural Network Control-Based Adaptive Learning Design for Nonlinear Systems With Full-State Constraints
Reweighted Regularized Prototypical Network for Few-Shot Fault Diagnosis
DRRNets: Dynamic Recurrent Routing via Low-Rank Regularization in Recurrent Neural Networks
A Convergence Path to Deep Learning on Noisy Labels
Variable Neural Adaptive Robust Control: A Switched System Approach
Discrete-time CMAC NN control of feedback linearizable nonlinear systems under a persistence of excitation
A Recurrent Neural Network for Solving Bilevel Linear Programming Problem
A Quantum Spatial Graph Convolutional Neural Network Model on Quantum Circuits
Tensor Distance Based Multilinear Locality-Preserved Maximum Information Embedding
A temporal-analysis-based pitch estimation system for noisy speech with a comparative study of performance of recent systems
Online Causal Feature Selection for Streaming Features
An analog feedback associative memory
Multinomial Least Angle Regression
Multilayer discrete-time neural-net controller with guaranteed performance
JITL-MBN: A Real-Time Causality Representation Learning for Sensor Fault Diagnosis of Traction Drive System in High-Speed Trains
Sufficient Condition for the Existence of the Compact Set in the RBF Neural Network Control
Hybrid Quantum-Classical Convolutional Neural Network Model for Image Classification
Backpropagation uses prior information efficiently
Predictor-Based Neural Dynamic Surface Control for Bipartite Tracking of a Class of Nonlinear Multiagent Systems
Generalized Higher Order Orthogonal Iteration for Tensor Learning and Decomposition
A pulsed neural network capable of universal approximation
Enhancing Graph-Based Semisupervised Learning via Knowledge-Aware Data Embedding
Formulating Robust Linear Regression Estimation as a One-Class LDA Criterion: Discriminative Hat Matrix
Adaptive Output-Feedback Neural Control of Switched Uncertain Nonlinear Systems With Average Dwell Time
Guest editorial - Special issue on neural networks hardware implementations
Group Factor Analysis
Online Reinforcement Learning Control by Direct Heuristic Dynamic Programming: From Time-Driven to Event-Driven
Distributed Neural Adaptive Impedance Control for Cooperative Manipulation With Unknown Objects
A Convolutional Framework for Color Constancy
Robust Structured Nonnegative Matrix Factorization for Image Representation
Global Synchronization of Complex Dynamical Networks Through Digital Communication With Limited Data Rate
Spectrum-Diverse Neuroevolution With Unified Neural Models
Tackling Event-Based Lip-Reading by Exploring Multigrained Spatiotemporal Clues
Model-Free and Pseudoinverse-Free Zhang Neurodynamics Scheme for Robotic Arms' Path Tracking Control
Adaptive Prototype Interaction Network for Few-Shot Knowledge Graph Completion
Quaternion-based adaptive output feedback attitude control of spacecraft using Chebyshev neural networks
Attention-Based Multimodal tCNN for Classification of Steady-State Visual Evoked Potentials and Its Application to Gripper Control
Spatial-temporal modeling of malware propagation in networks
Multi-H∞ Controls for Unknown Input-Interference Nonlinear System With Reinforcement Learning
AMFL: Resource-Efficient Adaptive Metaverse-Based Federated Learning for the Human-Centric Augmented Reality Applications
Adaptive Output Neural Network Control for a Class of Stochastic Nonlinear Systems With Dead-Zone Nonlinearities
Partial Cross Mapping Based on Sparse Variable Selection for Direct Fault Root Cause Diagnosis for Industrial Processes
Blind Image Quality Assessment via Deep Learning
Lifelong Incremental Reinforcement Learning With Online Bayesian Inference
A Multilayer Framework for Online Metric Learning
A Transfer Learning-Based Method for Personalized State of Health Estimation of Lithium-Ion Batteries
Deep Learning for Time-Series Prediction in IIoT: Progress, Challenges, and Prospects
Optimal Spin Polarization Control for the Spin-Exchange Relaxation-Free System Using Adaptive Dynamic Programming
Master Memory Function for Delay-Based Reservoir Computers With Single-Variable Dynamics
A class of learning algorithms for principal component analysis and minor component analysis
Video SAR Imaging Based on Low-Rank Tensor Recovery
Reachable Set Estimation for Memristive Complex-Valued Neural Networks With Disturbances
A Fast Feedforward Small-World Neural Network for Nonlinear System Modeling
A Local-and-Global Attention Reinforcement Learning Algorithm for Multiagent Cooperative Navigation
A delayed neural network for solving linear projection equations and its analysis
Magnified gradient function with deterministic weight modification in adaptive learning
StructADMM: Achieving Ultrahigh Efficiency in Structured Pruning for DNNs
Bridging the Gap Between Imitation Learning and Inverse Reinforcement Learning