yusuke1997/dblp-id-title huggingface dataset:
Hierarchical Threshold Pruning Based on Uniform Response Criterion
Event-Triggered Adaptive Neural Network Tracking Control for Uncertain Systems With Unknown Input Saturation Based on Command Filters
An improved global asymptotic stability criterion for delayed cellular neural networks
Combinations of weak classifiers
Real-Time and Adaptive Reservoir Computing With Application to Profile Prediction in Fusion Plasma
Robust support vector regression networks for function approximation with outliers
A Neuromorphic CMOS Circuit With Self-Repairing Capability
Cerebellar Input Configuration Toward Object Model Abstraction in Manipulation Tasks
Daily Schedule Recommendation in Urban Life Based on Deep Reinforcement Learning
Phase Oscillatory Network and Visual Pattern Recognition
Density-Induced Support Vector Data Description
Local-Global Modeling and Distributed Computing Framework for Nonlinear Plant-Wide Process Monitoring With Industrial Big Data
Multiple and Complete Stability of Recurrent Neural Networks With Sinusoidal Activation Function
Perception Evolution Network Based on Cognition Deepening Model - Adapting to the Emergence of New Sensory Receptor
An evolution-oriented learning algorithm for the optimal interpolative net
Fast generic selection of features for neural network classifiers
State Estimation for Coupled Uncertain Stochastic Networks With Missing Measurements and Time-Varying Delays: The Discrete-Time Case
Continuous Value Assignment: A Doubly Robust Data Augmentation for Off-Policy Learning
Transfer Hashing: From Shallow to Deep
Guest Editorial: Deep Neural Networks for Graphs: Theory, Models, Algorithms, and Applications
Imbalance Mitigation for Continual Learning via Knowledge Decoupling and Dual Enhanced Contrastive Learning
Adaptive Neural Control of Uncertain MIMO Nonlinear Systems With State and Input Constraints
Supervised learning of perceptron and output feedback dynamic networks: a feedback analysis via the small gain theorem
Shape-adaptive radial basis functions
Real-World Light Field Image Super-Resolution Via Degradation Modulation
Person Reidentification via Structural Deep Metric Learning
New results on recurrent network training: unifying the algorithms and accelerating convergence
Long-Tailed Characteristic of Spiking Pattern Alternation Induced by Log-Normal Excitatory Synaptic Distribution
A Novel Swarm Exploring Varying Parameter Recurrent Neural Network for Solving Non-Convex Nonlinear Programming
Multiple Graph Label Propagation by Sparse Integration
Event-Triggered Learning-Based Fault Accommodation for a Class of Nonlinear Interconnected Systems
Topology Identification of Weighted Complex Networks Under Intermittent Control and Its Application in Neural Networks
Rapid Oscillation Fault Detection and Isolation for Distributed Systems via Deterministic Learning
CDNA-SNN: A New Spiking Neural Network for Pattern Classification Using Neuronal Assemblies
Associative Memories With Synaptic Delays
A Low-Power DNN Accelerator Enabled by a Novel Staircase RRAM Array
Multi-Manifold Optimization for Multi-View Subspace Clustering
Empirical measure of multiclass generalization performance: the K-winner machine case
Robust recursive least squares learning algorithm for principal component analysis
Heuristic pattern correction scheme using adaptively trained generalized regression neural networks
On the "Identification and control of dynamical systems using neural networks"
SMTLNet: Domain Prior-Inspired Tooth Segmentation Based on Self-Supervised Manifold Transfer Learning
Learning Methods for Dynamic Topic Modeling in Automated Behavior Analysis
Online Training of LSTM Networks in Distributed Systems for Variable Length Data Sequences
Distributed support vector machines
MRHGNN: Enhanced Multimodal Relational Hypergraph Neural Network for Synergistic Drug Combination Forecasting
A Robust and Scalable Neuromorphic Communication System by Combining Synaptic Time Multiplexing and MIMO-OFDM
Sparse Bayesian Classification of EEG for Brain-Computer Interface
Synchronization of Chaotic Neural Networks: Average-Delay Impulsive Control
ESCNet: An End-to-End Superpixel-Enhanced Change Detection Network for Very-High-Resolution Remote Sensing Images
Self-Supervised Attentive Generative Adversarial Networks for Video Anomaly Detection
Cosine 2DPCA With Weighted Projection Maximization
From members to teams to committee-a robust approach to gestural and multimodal recognition
Soft learning vector quantization and clustering algorithms based on non-Euclidean norms: single-norm algorithms
A hierarchical RBF online learning algorithm for real-time 3-D scanner
Homophily Preserving Community Detection
Score-Based Neural Processes
Fidelity-Based Probabilistic Q-Learning for Control of Quantum Systems
Stagewise Training With Exponentially Growing Training Sets
The Group Latent Variable Approach to Probit Binary Classifications
DualGCN: Exploring Syntactic and Semantic Information for Aspect-Based Sentiment Analysis
A transductive neuro-fuzzy controller: application to a drilling process
Structure Learning for Deep Neural Networks Based on Multiobjective Optimization
Interval Bipartite Synchronization of Multiple Neural Networks in Signed Graphs
H ∞ State Estimation for BAM Neural Networks With Binary Mode Switching and Distributed Leakage Delays Under Periodic Scheduling Protocol
On algorithmic rate-coded AER generation
A Broad Generative Network for Two-Stage Image Outpainting
Event-Triggered Adaptive NN Tracking Control for MIMO Nonlinear Discrete-Time Systems
IPADE: Iterative Prototype Adjustment for Nearest Neighbor Classification
Joint Entity and Relation Extraction With Set Prediction Networks
Observer-Based Adaptive Neural Networks Control for Large-Scale Interconnected Systems With Nonconstant Control Gains
Multiscale Visual-Attribute Co-Attention for Zero-Shot Image Recognition
Relationship Between Nonsmoothness in Adversarial Training, Constraints of Attacks, and Flatness in the Input Space
On the Almost Periodic Solution of Cellular Neural Networks With Distributed Delays
A Survey of Memristive Threshold Logic Circuits
A dot product neuron for hardware implementation of competitive networks
Naive Gabor Networks for Hyperspectral Image Classification
Rectify ViT Shortcut Learning by Visual Saliency
Model Risk for European-Style Stock Index Options
Learning Salient and Discriminative Descriptor for Palmprint Feature Extraction and Identification
Toward Mitigating Architecture Overfitting on Distilled Datasets
Assessing the Influence of an Individual Event in Complex Fault Spreading Network Based on Dynamic Uncertain Causality Graph
Hierarchically Contrastive Hard Sample Mining for Graph Self-Supervised Pretraining
String Tightening as a Self-Organizing Phenomenon
A Cross-Client Coordinator in Federated Learning Framework for Conquering Heterogeneity
Real-Time Progressive Learning: Accumulate Knowledge From Control With Neural-Network-Based Selective Memory
Robust Discriminant Subspace Clustering With Adaptive Local Structure Embedding
Gently Sloped and Extended Classification Margin for Overconfidence Relaxation of Out-of-Distribution Samples
Efficient Cluster-Based Boosting for Semisupervised Classification
Recognizing partially occluded, expression variant faces from single training image per person with SOM and soft k-NN ensemble
Smooth Neuroadaptive PI Tracking Control of Nonlinear Systems With Unknown and Nonsmooth Actuation Characteristics
Canonical piecewise-linear networks
Deep Reinforcement Learning-Based Multirestricted Dynamic-Request Transportation Framework
Combinatorial optimization with use of guided evolutionary simulated annealing
Deep Transfer Low-Rank Coding for Cross-Domain Learning
Adaptive Neural Coordinated Control for Multiple Euler-Lagrange Systems With Periodic Event-Triggered Sampling
Uncertainty Estimation Using Fuzzy Measures for Multiclass Classification
The equivalence between fuzzy logic systems and feedforward neural networks
Graph Edge Convolutional Neural Networks for Skeleton-Based Action Recognition
Granular Neural Networks: Concepts and Development Schemes
Stability Analysis of Recurrent Neural Networks With Time-Varying Delay Based on a Flexible Negative-Determination Quadratic Function Method
Blind information-theoretic multiuser detection algorithms for DS-CDMA and WCDMA downlink systems
On relative convergence properties of principal component analysis algorithms
Conformation-based hidden Markov models: application to human face identification
Independent component analysis: theory and applications [Book Review]
Low-Rank Structure Learning via Nonconvex Heuristic Recovery
Provably Bounded Dynamic Sparsifying Transform Network for Compressive Imaging
Neural Network-Based Adaptive Dynamic Surface Control for Permanent Magnet Synchronous Motors
Neural-Network-Based Adaptive Event-Triggered Consensus Control of Nonstrict-Feedback Nonlinear Systems
An adaptive learning algorithm for principal component analysis
Learning From Multiple Imperfect Instructors in Sensor Networks
Data-Driven Robust M-LS-SVR-Based NARX Modeling for Estimation and Control of Molten Iron Quality Indices in Blast Furnace Ironmaking
Neural-net computing for interpretation of semiconductor film optical ellipsometry parameters
Pixel and Feature Transfer Fusion for Unsupervised Cross-Dataset Person Reidentification
Just-in-Time Precast Production Scheduling Using Dominance Rule-Based Genetic Algorithm
Text Feature Adversarial Learning for Text Generation With Knowledge Transfer From GPT2
A Fast Granular-Ball-Based Density Peaks Clustering Algorithm for Large-Scale Data
Security and Safety-Critical Learning-Based Collaborative Control for Multiagent Systems
A Self-Attention-Based Deep Reinforcement Learning Approach for AGV Dispatching Systems
Classification of radar clutter using neural networks
Supervised Learning in Multilayer Spiking Neural Networks With Spike Temporal Error Backpropagation
Improving Crowdsourced Label Quality Using Noise Correction
Multi-Objective Neural Evolutionary Algorithm for Combinatorial Optimization Problems
On a novel unsupervised competitive learning algorithm for scalar quantization
Hierarchical Cooperative Control for Multiagent Systems With Switching Directed Topologies
A neural network to compute the Hutchinson metric in fractal image processing
Preliminary Study on Wilcoxon Learning Machines
Understanding Social Causalities Behind Human Action Sequences
Neural Networks in Bioprocessing and Chemical Engineering [Books in Brief]
A Segment-Based Drift Adaptation Method for Data Streams
Modular neural networks for MAP classification of time series and the partition algorithm
Texture segmentation using Gaussian-Markov random fields and neural oscillator networks
Semisupervised Subspace Learning With Adaptive Pairwise Graph Embedding
Temporal Modeling With Frozen Vision-Language Foundation Models for Parameter-Efficient Text-Video Retrieval
Unsupervised Domain Adaptation With Adversarial Residual Transform Networks
A Nonlinear Semantic-Preserving Projection Approach to Visualize Multivariate Periodical Time Series
Generative Mixup Networks for Zero-Shot Learning
Complex cell prototype representation for face recognition
Sparse Representation in Kernel Machines
Reacting to Different Types of Concept Drift: The Accuracy Updated Ensemble Algorithm
Topology-Based Clustering Using Polar Self-Organizing Map
Understanding Pooling in Graph Neural Networks
A Kernel-Induced Space Selection Approach to Model Selection in KLDA
Semisupervised Classification With Novel Graph Construction for High-Dimensional Data
A Note on the Bias in SVMs for Multiclassification
Shared kernel models for class conditional density estimation
A pdf-Free Change Detection Test Based on Density Difference Estimation
Face Sketch Synthesis Using Regularized Broad Learning System
Concept Factorization With Adaptive Neighbors for Document Clustering
HeGCL: Advance Self-Supervised Learning in Heterogeneous Graph-Level Representation
Neural Network-Based Solutions for Stochastic Optimal Control Using Path Integrals
Distributed Fault Tolerant Consensus Control of Nonlinear Multiagent Systems via Adaptive Dynamic Programming
A Human-Machine Agent Based on Active Reinforcement Learning for Target Classification in Wargame
E2SCNet: Efficient Multiobjective Evolutionary Automatic Search for Remote Sensing Image Scene Classification Network Architecture
Deep Reinforcement Learning Versus Evolution Strategies: A Comparative Survey
Horizontal Federated Density Peaks Clustering
Finite-Time Consensus Adaptive Neural Network Control for Nonlinear Multiagent Systems Under PDE Models
Weighted Mixed-Norm Regularized Regression for Robust Face Identification
Bipartite Synchronization of Multiple Memristor-Based Neural Networks With Antagonistic Interactions
Hypersphere-Based Weight Imprinting for Few-Shot Learning on Embedded Devices
Nonlinear Adaptive Wavelet Control Using Constructive Wavelet Networks
Automatic Learning of Fine Operating Rules for Online Power System Security Control
Protein Language Pragmatic Analysis and Progressive Transfer Learning for Profiling Peptide-Protein Interactions
CapMax: A Framework for Dynamic Network Representation Learning From the View of Multiuser Communication
Intrinsic Consistency Preservation With Adaptively Reliable Samples for Source-Free Domain Adaptation
Neural networks for blind-source separation of Stromboli explosion quakes
Steady-State Design of Large-Dimensional Boolean Networks
Learning Hierarchical Document Graphs From Multilevel Sentence Relations
Synchronization of Coupled Markovian Reaction-Diffusion Neural Networks With Proportional Delays Via Quantized Control
Toward Better Structure and Constraint to Mine Negative Sequential Patterns
Pareto evolutionary neural networks
Weakly Supervised Discriminative Learning With Spectral Constrained Generative Adversarial Network for Hyperspectral Anomaly Detection
Nonlinear model structure design and construction using orthogonal least squares and D-optimality design
Adaptive wavelet neural network control with hysteresis estimation for piezo-positioning mechanism
OR-Gate Mixup Multiscale Spectral Graph Neural Network for Node Anomaly Detection
RoSeq: Robust Sequence Labeling
Sampled-Data Output Feedback Control for Nonlinear Uncertain Systems Using Predictor-Based Continuous-Discrete Observer
Adaptive CL-BFGS Algorithms for Complex-Valued Neural Networks
A Self-Building and Cluster-Based Cognitive Fault Diagnosis System for Sensor Networks
Are artificial neural networks white boxes?
Confusion-Based Metric Learning for Regularizing Zero-Shot Image Retrieval and Clustering
Spatial-Spectral Heterogeneity-Aware Network for Hyperspectral and LiDAR Joint Classification
Conic section function neural network circuitry for offline signature recognition
Gait Prediction and Variable Admittance Control for Lower Limb Exoskeleton With Measurement Delay and Extended-State-Observer
Temporal winner-take-all networks: a time-based mechanism for fast selection in neural networks
An efficient learning algorithm for associative memories
Hyper-Exponential Stabilization of Neural Networks by Event-Triggered Impulsive Control With Actuation Delay
A self-organizing map for adaptive processing of structured data
Mining Semantic Correlations Between Mispredictions and Corrections for Interactive Semantic Segmentation
Evolutionary learning of nearest-neighbor MLP
Calibration and Uncertainty in Neural Time-to-Event Modeling
Quantized Kernel Least Mean Square Algorithm
Density-Preserving Sampling: Robust and Efficient Alternative to Cross-Validation for Error Estimation
Active Crowdsourcing for Multilabel Annotation
Generalized Hamilton-Jacobi-Bellman Formulation -Based Neural Network Control of Affine Nonlinear Discrete-Time Systems
Event-Triggered Cooperative Global Robust Practical Output Regulation for Second-Order Uncertain Nonlinear Multiagent Systems
Exceptional reducibility of complex-valued neural networks
Neural network for solving linear programming problems with bounded variables
FastHyMix: Fast and Parameter-Free Hyperspectral Image Mixed Noise Removal
Unsupervised speaker recognition based on competition between self-organizing maps
Reconstructing Perceived Images From Human Brain Activities With Bayesian Deep Multiview Learning
Tackling the Challenges in Scene Graph Generation With Local-to-Global Interactions
Improving the error backpropagation algorithm with a modified error function
A Projection Neural Network for the Generalized Lasso
Robust Novelty Detection via Worst Case CVaR Minimization
Recursive Neural Network Rule Extraction for Data With Mixed Attributes
A Sparse Model-Inspired Deep Thresholding Network for Exponential Signal Reconstruction - Application in Fast Biological Spectroscopy
The dependence identification neural network construction algorithm
Graph Decoupling Attention Markov Networks for Semisupervised Graph Node Classification
FALCON: Feature-Label Constrained Graph Net Collapse for Memory-Efficient GNNs
Binary Channel Fuzzy Self-Adjusted Neural Network for Solving Time-Changing QP Problems
A Generic Self-Supervised Framework of Learning Invariant Discriminative Features
Adaptive Subset Kernel Principal Component Analysis for Time-Varying Patterns
Manipulating Identical Filter Redundancy for Efficient Pruning on Deep and Complicated CNN
DLformer: A Dynamic Length Transformer-Based Network for Efficient Feature Representation in Remaining Useful Life Prediction
Convergence Analysis of Robust Iterative Learning Control Against Nonrepetitive Uncertainties: System Equivalence Transformation
Automated Anomaly Detection via Curiosity-Guided Search and Self-Imitation Learning
fastESN: Fast Echo State Network
A retina with parallel input and pulsed output, extracting high-resolution information
ML-TREE: A Tree-Structure-Based Approach to Multilabel Learning
Robust Semisupervised Deep Generative Model Under Compound Noise
Multitask Attention Network for Lane Detection and Fitting
Revisiting Internal Covariate Shift for Batch Normalization
OSNet: a neural network implementation of order statistic filters
Simultaneously Learning Neighborship and Projection Matrix for Supervised Dimensionality Reduction
Neural networks for shortest path computation and routing in computer networks
Direction-Dependent Learning Approach for Radial Basis Function Networks
An Off-Policy Trust Region Policy Optimization Method With Monotonic Improvement Guarantee for Deep Reinforcement Learning
FPGA Implementations of Neural Networks (Ormondi. A.R. and Rajapakse, J.C., Eds.; 2006)
Echo State Gaussian Process
Density estimation and random variate generation using multilayer networks
Two-Phase Switching Optimization Strategy in Deep Neural Networks
Local Model Network Identification With Gaussian Processes
Directional Clustering Through Matrix Factorization
Synthesis of a nonrecurrent associative memory model based on a nonlinear transformation in the spectral domain
Modeling the Uncertainty of Information Propagation for Rumor Detection: A Neuro-Fuzzy Approach
SVD-NET: an algorithm that automatically selects network structure
A Hybrid Structural Sparsification Error Model for Image Restoration
Central-Smoothing Hypergraph Neural Networks for Predicting Drug-Drug Interactions
Factorization Vision Transformer: Modeling Long-Range Dependency With Local Window Cost
A Scalable Open-Set ECG Identification System Based on Compressed CNNs
Multistability of Dynamic Memristor Delayed Cellular Neural Networks With Application to Associative Memories
Learning lateral interactions for feature binding and sensory segmentation from prototypic basis interactions
Enhanced Results on Sampled-Data Synchronization for Chaotic Neural Networks With Actuator Saturation Using Parameterized Control
Neural subnet design by direct polynomial mapping
Toward Open-World Domain Adaptation via Iteratively Contrastive Learning and Clustering
Simple Yet Effective Way for Improving the Performance of GAN
BAI-Net: Individualized Anatomical Cerebral Cartography Using Graph Neural Network
Online Identification of Nonlinear Systems With Separable Structure
Detection of mines and minelike targets using principal component and neural-network methods
Balanced Unfolding Induced Tensor Nuclear Norms for High-Order Tensor Completion
Maximum likelihood neural approximation in presence of additive colored noise
Determination of Global Minima of Some Common Validation Functions in Support Vector Machine
Heterogeneous Mutual Knowledge Distillation for Wearable Human Activity Recognition
Meta-USR: A Unified Super-Resolution Network for Multiple Degradation Parameters
Online Optimal Control of Affine Nonlinear Discrete-Time Systems With Unknown Internal Dynamics by Using Time-Based Policy Update
Robust exponential stability of Markovian jump impulsive stochastic Cohen-Grossberg neural networks with mixed time delays
Neural Network-Based Adaptive Consensus Control for a Class of Nonaffine Nonlinear Multiagent Systems With Actuator Faults
A cross-associative neural network for SVD of non-squared data matrix in signal processing
Compact Model Training by Low-Rank Projection With Energy Transfer
Optimized Backstepping for Tracking Control of Strict-Feedback Systems
Efficient Dual Approach to Distance Metric Learning
A New Adaptive Backpropagation Algorithm Based on Lyapunov Stability Theory for Neural Networks
A Spatial-Temporal Variational Graph Attention Autoencoder Using Interactive Information for Fault Detection in Complex Industrial Processes
A Supervised Learning Algorithm for Multilayer Spiking Neural Networks Based on Temporal Coding Toward Energy-Efficient VLSI Processor Design
QC-ODKLA: Quantized and Communication- Censored Online Decentralized Kernel Learning via Linearized ADMM
Reducing the Number of Support Vectors of SVM Classifiers Using the Smoothed Separable Case Approximation
Exponential Synchronization for Delayed Dynamical Networks via Intermittent Control: Dealing With Actuator Saturations
Independent component analysis using Potts models
Robust Controllability of Boolean Control Networks via Dynamic Programming
Adaptive tracking for periodically time-varying and nonlinearly parameterized systems using multilayer neural networks
A Novel Cluster Validity Index Based on Local Cores
Autoencoder Constrained Clustering With Adaptive Neighbors
Multiperiodicity of periodically oscillated discrete-time neural networks with transient excitatory self-connections and sigmoidal nonlinearities
Lneuro 1.0: a piece of hardware LEGO for building neural network systems
Can Boosted Randomness Mimic Learning Algorithms of Geometric Nature? Example of a Simple Algorithm That Converges in Probability to Hard-Margin SVM
Learning Knowledge Graph Embedding With Heterogeneous Relation Attention Networks
A Fast Algorithm of Convex Hull Vertices Selection for Online Classification
Adversarial Learning Based Node-Edge Graph Attention Networks for Autism Spectrum Disorder Identification
Robust Spherical Laplacian Embedding
Design and Adaptive Control for an Upper Limb Robotic Exoskeleton in Presence of Input Saturation
A dynamic channel assignment policy through Q-learning
Conditional Convolution Projecting Latent Vectors on Condition-Specific Space
Nonlinear adaptive control using networks of piecewise linear approximators
Clustered Federated Learning in Heterogeneous Environment
Stability Analysis for Delayed Neural Networks via Improved Auxiliary Polynomial-Based Functions
Worst-case quadratic loss bounds for prediction using linear functions and gradient descent
Robust adaptive neural control for a class of perturbed strict feedback nonlinear systems
Multiobjective evolutionary optimization of the size, shape, and position parameters of radial basis function networks for function approximation
Automatic Generation Control Based on Multiple Neural Networks With Actor-Critic Strategy
Prime Discriminant Simplicial Complex
Pinning Impulsive Synchronization of Reaction-Diffusion Neural Networks With Time-Varying Delays
Kernel Map Compression for Speeding the Execution of Kernel-Based Methods
A Limitation of Gradient Descent Learning
Posterior probability support vector Machines for unbalanced data
Logistic Regression by Means of Evolutionary Radial Basis Function Neural Networks