yusuke1997/dblp-id-title huggingface dataset:
Modeling of component failure in neural networks for robustness evaluation: an application to object extraction
Event-Triggered Distributed Stochastic Mirror Descent for Convex Optimization
Discriminative Dictionary Pair Learning With Scale-Constrained Structured Representation for Image Classification
Feature Selection Using Probabilistic Prediction of Support Vector Regression
Robust Fault-Aware Extreme Learning Machine Based on Maximum Correntropy
A Hybrid Adaptive Dynamic Programming for Optimal Tracking Control of USVs
TVDO: Tchebycheff Value-Decomposition Optimization for Multiagent Reinforcement Learning
Refinements of Approximation Results of Conditional Restricted Boltzmann Machines
Improvement of Reinforcement Learning With Supermodularity
Broad Learning System Based on Fractional Feature Optimization
Distributed Multiagent Reinforcement Learning With Action Networks for Dynamic Economic Dispatch
AHEGC: Adaptive Hindsight Experience Replay With Goal-Amended Curiosity Module for Robot Control
Event-Triggered Adaptive Neural Impedance Control of Robotic Systems
Affinity and Penalty Jointly Constrained Spectral Clustering With All-Compatibility, Flexibility, and Robustness
A supervised learning neural network coprocessor for soft-decision maximum-likelihood decoding
Learning From Crowds With Multiple Noisy Label Distribution Propagation
A Pseudoinversion-Free Method for Weight Updating in Broad Learning System
Adaptive Neural Control of Nonlinear Nonstrict Feedback Systems With Full-State Constraints: A Novel Nonlinear Mapping Method
A Normalized Adaptive Training of Recurrent Neural Networks With Augmented Error Gradient
Ensemble Support Vector Recurrent Neural Network for Brain Signal Detection
Factorization-Based Broad Learning System With Time-Dependent Structure
Recurrent neuro-fuzzy networks for nonlinear process modeling
Keyword-Based Diverse Image Retrieval With Variational Multiple Instance Graph
The multisynapse neural network and its application to fuzzy clustering
A Review of Recurrent Neural Network-Based Methods in Computational Physiology
Efficient training algorithms for a class of shunting inhibitory convolutional neural networks
Fuzzy logic and neural networks: clips from the field
A Scalable Algorithm for Identifying Multiple-Sensor Faults Using Disentangled RNNs
Dynamics Analysis and Design for a Bidirectional Super-Ring-Shaped Neural Network With n Neurons and Multiple Delays
Dynamical Bifurcation for a Class of Large-Scale Fractional Delayed Neural Networks With Complex Ring-Hub Structure and Hybrid Coupling
Exponential Convergence Estimates for a Single Neuron System of Neutral-Type
Event-Based Finite-Time Neural Control for Human-in-the-Loop UAV Attitude Systems
Domain Information Mining and State-Guided Adaptation Network for Multispectral Image Segmentation
Attention-Driven Memory Network for Online Visual Tracking
Reinforcement Learning Design-Based Adaptive Tracking Control With Less Learning Parameters for Nonlinear Discrete-Time MIMO Systems
Beyond RMSE and MAE: Introducing EAUC to Unmask Hidden Bias and Unfairness in Dyadic Regression Models
Logic operations based on single neuron rational model
Exponential H ∞ State Estimation for Memristive Neural Networks: Vector Optimization Approach
Data-Model Hybrid-Driven Safe Reinforcement Learning for Adaptive Avoidance Control Against Unsafe Moving Zones
Adaptive Batch Mode Active Learning
Associative Memory for Online Learning in Noisy Environments Using Self-Organizing Incremental Neural Network
Nonparametric Coupled Bayesian Dictionary and Classifier Learning for Hyperspectral Classification
Neural network for estimating conditional distributions
Low Complexity Gradient Computation Techniques to Accelerate Deep Neural Network Training
Multitask Causal Contrastive Learning
Classification of linearly nonseparable patterns by linear threshold elements
Weakly pulse-coupled oscillators, FM interactions, synchronization, and oscillatory associative memory
Sliding-Mode Control Design for Nonlinear Systems Using Probability Density Function Shaping
A digital architecture for support vector machines: theory, algorithm, and FPGA implementation
Parametrized Constant-Depth Quantum Neuron
Composite Learning Enhanced Robot Impedance Control
Hardware Friendly Probabilistic Spiking Neural Network With Long-Term and Short-Term Plasticity
Constrained Least Absolute Deviation Neural Networks
O(log 2M ) Self-Organizing Map Algorithm Without Learning of Neighborhood Vectors
Reinforcement Learning-Based Model Predictive Control for Discrete-Time Systems
Multiscale Human Activity Recognition and Anticipation Network
Power Characterization of Noisy Quantum Kernels
Exponential Family Factors for Bayesian Factor Analysis
Celebrating Diversity With Subtask Specialization in Shared Multiagent Reinforcement Learning
A Self-Supervised Deep Learning Approach for Blind Denoising and Waveform Coherence Enhancement in Distributed Acoustic Sensing Data
Modified cascade-correlation learning for classification
GBRS: A Unified Granular-Ball Learning Model of Pawlak Rough Set and Neighborhood Rough Set
Discrete-Time Signatures and Randomness in Reservoir Computing
Nonsmooth ICA Contrast Minimization Using a Riemannian Nelder-Mead Method
Leveraging Coupled Interaction for Multimodal Alzheimer's Disease Diagnosis
Consensusability of First-Order Multiagent Systems Under Distributed PID Controller With Time Delay
Optimal Codesign of Nonlinear Control Systems Based on a Modified Policy Iteration Method
Person Reidentification via Multi-Feature Fusion With Adaptive Graph Learning
Adaptive diagnosis in distributed systems
Causality-Aware Predictions in Static Anticausal Machine Learning Tasks
A neural network learning algorithm tailored for VLSI implementation
Toward High-Accuracy and Low-Latency Spiking Neural Networks With Two-Stage Optimization
Separation of Synchronous Sources Through Phase Locked Matrix Factorization
Reinforcement Learning-Based Fractional-Order Adaptive Fault-Tolerant Formation Control of Networked Fixed-Wing UAVs With Prescribed Performance
Impulsive control and synchronization for delayed neural networks with reaction-diffusion terms
Adaptive pattern recognition in the analysis of cardiotocographic records
Effective and Efficient Batch Normalization Using a Few Uncorrelated Data for Statistics Estimation
The capacity of associative memories with malfunctioning neurons
Self-Punishment and Reward Backfill for Deep Q-Learning
Iterative Least Squares Functional Networks Classifier
Online Learning of Hierarchical Pitman-Yor Process Mixture of Generalized Dirichlet Distributions With Feature Selection
Revisiting L 2, 1 -Norm Robustness With Vector Outlier Regularization
Alternative Multiview Maximum Entropy Discrimination
Reinforcement Learning and Adaptive Optimal Control for Continuous-Time Nonlinear Systems: A Value Iteration Approach
Graph Neural Network-Based Node Deployment for Throughput Enhancement
Adaptive Robust Output Feedback Control for a Marine Dynamic Positioning System Based on a High-Gain Observer
Tri-Branch Convolutional Neural Networks for Top-k Focused Academic Performance Prediction
Semisupervised Network Embedding With Differentiable Deep Quantization
Model-Based Online Learning With Kernels
A Geometric Nearest Point Algorithm for the Efficient Solution of the SVM Classification Task
RL-Chord: CLSTM-Based Melody Harmonization Using Deep Reinforcement Learning
The Widrow-Hoff algorithm for McCulloch-Pitts type neurons
Nonfactoid Question Answering as Query-Focused Summarization With Graph-Enhanced Multihop Inference
Disentanglement by Cyclic Reconstruction
A Peak Price Tracking-Based Learning System for Portfolio Selection
The pRAM: an adaptive VLSI chip
A dynamical system perspective of structural learning with forgetting
Shape recovery from shading by a new neural-based reflectance model
Event-Sampled Direct Adaptive NN Output- and State-Feedback Control of Uncertain Strict-Feedback System
CycleTrans: Learning Neutral Yet Discriminative Features via Cycle Construction for Visible- Infrared Person Re-Identification
Human-in-the-Loop Reinforcement Learning in Continuous-Action Space
Neural Network-Based Distributed Attitude Coordination Control for Spacecraft Formation Flying With Input Saturation
Neural-Network-Based Adaptive Decentralized Fault-Tolerant Control for a Class of Interconnected Nonlinear Systems
Generative Adversarial Networks-Based Data Augmentation for Brain-Computer Interface
Synthesis of feedforward networks in supremum error bound
Design of neural networks for fast convergence and accuracy: dynamics and control
Discriminative Common Vector Method With Kernels
Exponential Stability Analysis for Delayed Semi-Markovian Recurrent Neural Networks: A Homogeneous Polynomial Approach
MI-MCF: A Mutual Information-Based Multilabel Causal Feature Selection
Online Feature Transformation Learning for Cross-Domain Object Category Recognition
Recursive Bayesian recurrent neural networks for time-series modeling
Joint Feature Selection and Extraction With Sparse Unsupervised Projection
Automated classification and analysis of the calcium response of single T lymphocytes using a neural network approach
A Two-Timescale Duplex Neurodynamic Approach to Mixed-Integer Optimization
Optimized Discriminative Kernel for SVM Scoring and Its Application to Speaker Verification
Discriminative Embedded Clustering: A Framework for Grouping High-Dimensional Data
Toward a digital neuromorphic pitch extraction system
Designing asymmetric Hopfield-type associative memory with higher order hamming stability
Sensitivity analysis of multilayer perceptron with differentiable activation functions
EASpace: Enhanced Action Space for Policy Transfer
An iterative inversion approach to blind source separation
An Interval Type-2 Neural Fuzzy Chip With On-Chip Incremental Learning Ability for Time-Varying Data Sequence Prediction and System Control
Polymer property prediction and optimization using neural networks
SFA-Net: A Selective Features Absorption Network for Object Detection in Rainy Weather Conditions
Enhanced Network Compression Through Tensor Decompositions and Pruning
Partial Diffusion Kalman Filtering for Distributed State Estimation in Multiagent Networks
A Galerkin/Neural-Network-Based Design of Guaranteed Cost Control for Nonlinear Distributed Parameter Systems
Optimal Triggering of Networked Control Systems
Global Asymptotic Stability and Stabilization of Neural Networks With General Noise
Data-Driven Policy Iteration for Nonlinear Optimal Control Problems
Learning Tracking Control Over Unknown Fading Channels Without System Information
Eigenstructure bidirectional associative memory: an effective synthesis procedure
Postboosting Using Extended G-Mean for Online Sequential Multiclass Imbalance Learning
Neighborhood Pattern Is Crucial for Graph Convolutional Networks Performing Node Classification
Action-Driven Visual Object Tracking With Deep Reinforcement Learning
Tree-Structured Feature Extraction Using Mutual Information
Probabilistic Modeling for Image Registration Using Radial Basis Functions: Application to Cardiac Motion Estimation
Nonlinear Locality-Preserving Projections With Dynamic Graph Learning
Entropy and Confidence-Based Undersampling Boosting Random Forests for Imbalanced Problems
On some necessary and sufficient conditions for a recurrent neural network model with time delays to generate oscillations
Finite-Time Passivity-Based Stability Criteria for Delayed Discrete-Time Neural Networks via New Weighted Summation Inequalities
Attention-Emotion-Enhanced Convolutional LSTM for Sentiment Analysis
An Asynchronous Neuromorphic Event-Driven Visual Part-Based Shape Tracking
ACERAC: Efficient Reinforcement Learning in Fine Time Discretization
Convergence Analysis of Online Gradient Method for High-Order Neural Networks and Their Sparse Optimization
A Novel Approach to Detecting Muscle Fatigue Based on sEMG by Using Neural Architecture Search Framework
Using sensor habituation in mobile robots to reduce oscillatory movements in narrow corridors
Discovering Mathematical Expressions Through DeepSymNet: A Classification-Based Symbolic Regression Framework
Modeling exchange rates: smooth transitions, neural networks, and linear models
Neural-Network-Based Set-Membership Fault Estimation for 2-D Systems Under Encoding-Decoding Mechanism
Challenges and Opportunities in Deep Reinforcement Learning With Graph Neural Networks: A Comprehensive Review of Algorithms and Applications
Multidimensional density shaping by sigmoids
A low-power VLSI arrhythmia classifier
Some new results on system identification with dynamic neural networks
Reduced-Order Observer-Based Dynamic Event-Triggered Adaptive NN Control for Stochastic Nonlinear Systems Subject to Unknown Input Saturation
Finite-Time Consensus of Multiagent Systems With a Switching Protocol
Parameterized Luenberger-Type H ∞ State Estimator for Delayed Static Neural Networks
Selective smoothing of the generative topographic mapping
Neural-Network-Based Adaptive Fixed-Time Control for Nonlinear Multiagent Non-Affine Systems
Exponential stability on stochastic neural networks with discrete interval and distributed delays
Fast Semisupervised Learning With Bipartite Graph for Large-Scale Data
Conditional Mutual Information Constrained Deep Learning for Classification
Propagation Structure Fusion for Rumor Detection Based on Node-Level Contrastive Learning
Deep Neural Network-Embedded Stochastic Nonlinear State-Space Models and Their Applications to Process Monitoring
Phy-Taylor: Partially Physics-Knowledge-Enhanced Deep Neural Networks via NN Editing
Neural Networks-Based Adaptive Control for Nonlinear Time-Varying Delays Systems With Unknown Control Direction
Decentralized Adaptive Neuro-Output Feedback Saturated Control for INS and Its Application to AUV
Reinforcement Learning-Based Optimal Stabilization for Unknown Nonlinear Systems Subject to Inputs With Uncertain Constraints
Sparse bayesian kernel survival analysis for modeling the growth domain of microbial pathogens
H ∞ State Estimation for Discrete-Time Delayed Systems of the Neural Network Type With Multiple Missing Measurements
Full-Scale Information Diffusion Prediction With Reinforced Recurrent Networks
A Contextual Relationship Model for Deceptive Opinion Spam Detection
Discovering Ancestral Instrumental Variables for Causal Inference From Observational Data
Neural CMOS-Integrated Circuit and Its Application to Data Classification
Weight perturbation: an optimal architecture and learning technique for analog VLSI feedforward and recurrent multilayer networks
Effect of probabilistic inputs on neural network-based electric load forecasting
Marginal Representation Learning With Graph Structure Self-Adaptation
Blind Denoising Autoencoder
Fully automatic clustering system
BFCP: Pursue Better Forward Compatibility Pretraining for Few-Shot Class-Incremental Learning
DCCD: Reducing Neural Network Redundancy via Distillation
Real AdaBoost With Gate Controlled Fusion
Action Mapping: A Reinforcement Learning Method for Constrained-Input Systems
Topology preservation in self-organizing feature maps: exact definition and measurement
GoDec+: Fast and Robust Low-Rank Matrix Decomposition Based on Maximum Correntropy
Distributed Synchronization of Coupled Neural Networks via Randomly Occurring Control
Deep Learning Regularized Fisher Mappings
Design and implementation of a random neural network routing engine
Context in temporal sequence processing: a self-organizing approach and its application to robotics
Online Nash Solution in Networked Multirobot Formation Using Stochastic Near-Optimal Control Under Dynamic Events
Decomposition Techniques for Multilayer Perceptron Training
Modified λ-Policy Iteration Based Adaptive Dynamic Programming for Unknown Discrete-Time Linear Systems
Feature Combination via Clustering
Cross-Domain Social Rumor-Propagation Model Based on Transfer Learning
Fast vision through frameless event-based sensing and convolutional processing: application to texture recognition
Stochastically Controlled Compositional Gradient for Composition Problems
Model-Driven Analysis of Eyeblink Classical Conditioning Reveals the Underlying Structure of Cerebellar Plasticity and Neuronal Activity
Semisupervised Generalized Discriminant Analysis
Understanding Convolutional Neural Networks With Information Theory: An Initial Exploration
Topological Structure and Semantic Information Transfer Network for Cross-Scene Hyperspectral Image Classification
Neural Observer With Lyapunov Stability Guarantee for Uncertain Nonlinear Systems
Automatic Sleep Staging Employing Convolutional Neural Networks and Cortical Connectivity Images
Accelerating Monte Carlo Bayesian Prediction via Approximating Predictive Uncertainty Over the Simplex
Efficient implementation of the Boltzmann machine algorithm
Multi-AUV Target Search Based on Bioinspired Neurodynamics Model in 3-D Underwater Environments
Standardization of neural network terminology
Frame-Based Variational Bayesian Learning for Independent or Dependent Source Separation
Approximate Solutions to Ordinary Differential Equations Using Least Squares Support Vector Machines
Semisupervised Cross-Scale Graph Prototypical Network for Hyperspectral Image Classification
Adaptive Data Structure Regularized Multiclass Discriminative Feature Selection
Joint Anchor Graph Embedding and Discrete Feature Scoring for Unsupervised Feature Selection
A novel radial basis function neural network for discriminant analysis
Chaotic neurodynamics for autonomous agents
Dynamic-Horizon Model-Based Value Estimation With Latent Imagination
Tensor LRR and Sparse Coding-Based Subspace Clustering
Hinging Hyperplanes for Time-Series Segmentation
Probabilistic Causal Effect Estimation With Global Neural Network Forecasting Models
Microseismic Signal Reconstruction From Strong Complex Noise Using Low-Rank Structure Extraction and Dual Convolutional Neural Networks
Adaptive resolution min-max classifiers
Self-Supervised Time Series Representation Learning via Cross Reconstruction Transformer
Reinforcement Learning for Robust Dynamic Event-Driven Constrained Control
A Universal Concept Based on Cellular Neural Networks for Ultrafast and Flexible Solving of Differential Equations
Multiview Deep Anomaly Detection: A Systematic Exploration
Federated Data Quality Assessment Approach: Robust Learning With Mixed Label Noise
Efficient Sparse Modeling With Automatic Feature Grouping
NetEventCause: Event-Driven Root Cause Analysis for Large Network System Without Topology
Responses to transients in living and simulated neurons
Formation Control With Collision Avoidance Through Deep Reinforcement Learning Using Model-Guided Demonstration
Lagrangean-Based Combinatorial Optimization for Large-Scale S 3 VMs
Convex Dual Theory Analysis of Two-Layer Convolutional Neural Networks With Soft-Thresholding
Quantization effects in digitally behaving circuit implementations of Kohonen networks
Optimization Methods for Spiking Neurons and Networks
3-D Learning-Enhanced Adaptive ILC for Iteration-Varying Formation Tasks
Demand Peak Forecasting of the Fused Magnesia Furnace Group With Model Prediction and Adaptive Deep Learning
Distributional Soft Actor-Critic: Off-Policy Reinforcement Learning for Addressing Value Estimation Errors
Recent Advances on Dynamical Behaviors of Coupled Neural Networks With and Without Reaction-Diffusion Terms
Convolutional Neural Networks for Spherical Signal Processing via Area-Regular Spherical Haar Tight Framelets
Multiobjective Deep Belief Networks Ensemble for Remaining Useful Life Estimation in Prognostics
Incremental Cluster Validity Index-Guided Online Learning for Performance and Robustness to Presentation Order
Rank-One Matrix Completion With Automatic Rank Estimation via L1-Norm Regularization
Deep Variational Network for Blind Pansharpening
GBDT-MO: Gradient-Boosted Decision Trees for Multiple Outputs
Coarse-to-Fine Contrastive Learning on Graphs
Neural networks and traditional time series methods: a synergistic combination in state economic forecasts
New results on error correcting output codes of kernel machines
Neural Schrödinger Equation: Physical Law as Deep Neural Network
Hierarchical Graph Convolutional Networks for Structured Long Document Classification
Parameter as a Switch Between Dynamical States of a Network in Population Decoding
Self-Organizing Radial Basis Function Network for Real-Time Approximation of Continuous-Time Dynamical Systems
SSAGCN: Social Soft Attention Graph Convolution Network for Pedestrian Trajectory Prediction
Finite-Time Estimation for Markovian BAM Neural Networks With Asymmetrical Mode-Dependent Delays and Inconstant Measurements
MobCovid: Confirmed Cases Dynamics Driven Time Series Prediction of Crowd in Urban Hotspot
Attention-Based Meta-Reinforcement Learning for Tracking Control of AUV With Time-Varying Dynamics
Multiset Canonical Correlations Using Globality Preserving Projections With Applications to Feature Extraction and Recognition
HPRN: Holistic Prior-Embedded Relation Network for Spectral Super-Resolution
Dynamic learning rate optimization of the backpropagation algorithm
Manifold Learning for Multivariate Variable-Length Sequences With an Application to Similarity Search
Unsupervised Domain Adaptation via Bidirectional Transmission Generator Self-Training
Improve Noise Tolerance of Robust Loss via Noise-Awareness
θ-adaptive neural networks: a new approach to parameter estimation
Absolute stability conditions for discrete-time recurrent neural networks
Global Dissipativity and Quasi-Mittag-Leffler Synchronization of Fractional-Order Discontinuous Complex-Valued Neural Networks
Nonlinear signal separation for multinonlinearity constrained mixing model
Data-Efficient Deep Reinforcement Learning for Attitude Control of Fixed-Wing UAVs: Field Experiments
Deformable Dynamic Sampling and Dynamic Predictable Mask Mining for Image Inpainting
Delay-dependent state estimation for delayed neural networks
Adaptive associative memories capable of pattern segmentation
Scaling up support vector machines using nearest neighbor condensation
Review Polarity-Wise Recommender
Multiwavelet Packet Entropy and its Application in Transmission Line Fault Recognition and Classification
Impulsive Synchronization of Reaction-Diffusion Neural Networks With Mixed Delays and Its Application to Image Encryption
Comments on "Functional equivalence between radial basis function networks and fuzzy inference systems" [and reply]
Cross-View Representation Learning-Based Deep Multiview Clustering With Adaptive Graph Constraint
Editorial - year 2002: submission options streamlined
Neuroadaptive Control Design for Pure-Feedback Nonlinear Systems: A One-Step Design Approach
Hybrid Reinforced Medical Report Generation With M-Linear Attention and Repetition Penalty
Unification of MAP Estimation and Marginal Inference in Recurrent Neural Networks
Learning a Better SPD Network for Signal Classification: A Riemannian Batch Normalization Method
Deep Geometric Learning With Monotonicity Constraints for Alzheimer's Disease Progression
Intelligent Control Systems Using Computational Intelligence [book review]
Knowledge Distillation Classifier Generation Network for Zero-Shot Learning
Guest Editorial Special Issue on Deep Learning for Earth and Planetary Geosciences
Rich Visual Knowledge-Based Augmentation Network for Visual Question Answering
Local Regression and Global Information-Embedded Dimension Reduction
Connectivity-Preserving Consensus Tracking of Uncertain Nonlinear Strict-Feedback Multiagent Systems: An Error Transformation Approach
Fuzzy neural networks for classification and detection of anomalies
G 3 SR: Global Graph Guided Session-Based Recommendation
A Fuzzy Min-Max Neural Network Classifier With Compensatory Neuron Architecture
Translation-Invariant Kernels for Multivariable Approximation
Categorization in unsupervised neural networks: the Eidos model
Toward an optimal PRNN-based nonlinear predictor
Recurrent neural network training with feedforward complexity
Comments on "Discrete-Time Adaptive Backstepping Nonlinear Control via High-Order Neural Networks"
Auditory learning: a developmental method
Stochastic Optimization for Nonconvex Problem With Inexact Hessian Matrix, Gradient, and Function