yusuke1997/dblp-id-title huggingface dataset:
Analysis of switching dynamics with competing support vector machines
Shadow-Cuts Minimization/Maximization and Complex Hopfield Neural Networks
Design and analysis of maximum Hopfield networks
Convex Subspace Clustering by Adaptive Block Diagonal Representation
Diffusion approximation of frequency sensitive competitive learning
Stability and Synchronization of Nonautonomous Reaction-Diffusion Neural Networks With General Time-Varying Delays
Direct adaptive control of wind energy conversion systems using Gaussian networks
New Algebraic Criteria for Synchronization Stability of Chaotic Memristive Neural Networks With Time-Varying Delays
Model-Free Adaptive Control for Unknown MIMO Nonaffine Nonlinear Discrete-Time Systems With Experimental Validation
Toward Balance Deep Semisupervised Clustering
Stability and Admissibility Analysis for Zero-Sum Games Under General Value Iteration Formulation
Face recognition using kernel scatter-difference-based discriminant analysis
Uncovering Large Language Model Weaknesses in Character and Word Understanding and Manipulating
Mittag-Leffler Synchronization of Delayed Fractional Memristor Neural Networks via Adaptive Control
On the problem of spurious patterns in neural associative memory models
Time-varying two-phase optimization and its application to neural-network learning
A Fast Evolutionary Knowledge Transfer Search for Multiscale Deep Neural Architecture
A Novel Neural Approach to Infinity-Norm Joint-Velocity Minimization of Kinematically Redundant Robots Under Joint Limits
Matrix-Variate Factor Analysis and Its Applications
Blind extraction of global signal from multi-channel noisy observations
Global Convergence and Limit Cycle Behavior of Weights of Perceptron
Bag-Level Aggregation for Multiple-Instance Active Learning in Instance Classification Problems
Fixed bit-rate image compression using a parallel-structure multilayer neural network
Evolutionary Cost-Sensitive Extreme Learning Machine
Output Feedback NN Control for Two Classes of Discrete-Time Systems With Unknown Control Directions in a Unified Approach
Dynamic structure neural networks for stable adaptive control of nonlinear systems
Neurodynamics-Based Robust Pole Assignment for High-Order Descriptor Systems
General Bitwidth Assignment for Efficient Deep Convolutional Neural Network Quantization
Training Spiking Neural Networks for Cognitive Tasks: A Versatile Framework Compatible With Various Temporal Codes
Fading Channel Prediction Based on Combination of Complex-Valued Neural Networks and Chirp Z-Transform
A Patch Diversity Transformer for Domain Generalized Semantic Segmentation
A parallel processing VLSI BAM engine
Sample-Based Continuous Approximate Method for Constructing Interval Neural Network
Eliminating Negative Word Similarities for Measuring Document Distances: A Thoroughly Empirical Study on Word Mover's Distance
SOSNet: Real-Time Small Object Segmentation via Hierarchical Decoding and Example Mining
Multistability of Almost Periodic Solution for Memristive Cohen-Grossberg Neural Networks With Mixed Delays
Complex Relation Embedding for Scene Graph Generation
Training recurrent neural networks: why and how? An illustration in dynamical process modeling
Dynamically Reconfigurable Silicon Array of Spiking Neurons With Conductance-Based Synapses
Learnable Subspace Clustering
ETA: An Efficient Training Accelerator for DNNs Based on Hardware-Algorithm Co-Optimization
Online Active Continual Learning for Robotic Lifelong Object Recognition
State estimation for delayed neural networks
Adaptive Event-Triggered Bipartite Formation for Multiagent Systems via Reinforcement Learning
A Globally Stable LPNN Model for Sparse Approximation
Class-Incremental Learning Method With Fast Update and High Retainability Based on Broad Learning System
Image Matting With Deep Gaussian Process
Improving the Accuracy of Spiking Neural Networks for Radar Gesture Recognition Through Preprocessing
Multiclass Nonnegative Matrix Factorization for Comprehensive Feature Pattern Discovery
Design of Fully Spectral CNNs for Efficient FPGA-Based Acceleration
Learning With Noisy Labels Over Imbalanced Subpopulations
Dynamic State Estimation of Power Systems With Quantization Effects: A Recursive Filter Approach
Event-Driven Synchronization of Switched Complex Networks: A Reachable-Set-Based Design
Are artificial neural networks black boxes?
Guest Editorial Special Issue on Reinforcement Learning-Based Control: Data-Efficient and Resilient Methods
Modality-Aware Discriminative Fusion Network for Integrated Analysis of Brain Imaging Genomics
An FPGA-Implemented Antinoise Fuzzy Recurrent Neural Network for Motion Planning of Redundant Robot Manipulators
Subspace Clustering via Structured Sparse Relation Representation
HealthNet: A Health Progression Network via Heterogeneous Medical Information Fusion
Granger Causal Inference Based on Dual Laplacian Distribution and Its Application to MI-BCI Classification
Modularizing Deep Learning via Pairwise Learning With Kernels
Distributed Estimator-Based Event-Triggered Neuro-Adaptive Control for Leader-Follower Consensus of Strict-Feedback Nonlinear Multiagent Systems
Deep Class-Incremental Learning From Decentralized Data
Outlier-Resistant Remote State Estimation for Recurrent Neural Networks With Mixed Time-Delays
Nonlinear Dynamic Modeling of Physiological Systems (Marmarellis, V.Z.; 2004) [Book review]
A direct adaptive neural-network control for unknown nonlinear systems and its application
From blind signal extraction to blind instantaneous signal separation: criteria, algorithms, and stability
A sequential dynamic heteroassociative memory for multistep pattern recognition and one-to-many association
Covert Task Embedding: Turning a DNN Into an Insider Agent Leaking Out Private Information
Spatiotemporal Behind-the-Meter Load and PV Power Forecasting via Deep Graph Dictionary Learning
Multi-Output Selective Ensemble Identification of Nonlinear and Nonstationary Industrial Processes
Nonnegative Consensus Tracking of Networked Systems With Convergence Rate Optimization
HICL: Hashtag-Driven In-Context Learning for Social Media Natural Language Understanding
Adaptive FIR neural model for centroid learning in self-organizing maps
Locally excitatory globally inhibitory oscillator networks
Hessian-Aided Random Perturbation (HARP) Using Noisy Zeroth-Order Oracles
Sparse Count Data Clustering Using an Exponential Approximation to Generalized Dirichlet Multinomial Distributions
Efficient Unsupervised Parameter Estimation for One-Class Support Vector Machines
Equilibrium-Based Support Vector Machine for Semisupervised Classification
Energy-Performance Assessment of Oscillatory Neural Networks Based on VO 2 Devices for Future Edge AI Computing
A Comparative Study of Deep Neural Network-Aided Canonical Correlation Analysis-Based Process Monitoring and Fault Detection Methods
Boundary-Aware Axial Attention Network for High-Quality Pavement Crack Detection
Local Linear Discriminant Analysis Framework Using Sample Neighbors
Iterative Learning Control With Unknown Control Direction: A Novel Data-Based Approach
Multiplayer Stackelberg-Nash Game for Nonlinear System via Value Iteration-Based Integral Reinforcement Learning
IRFR-Net: Interactive Recursive Feature-Reshaping Network for Detecting Salient Objects in RGB-D Images
Mobility Timing for Agent Communities, a Cue for Advanced Connectionist Systems
CerebelluMorphic: Large-Scale Neuromorphic Model and Architecture for Supervised Motor Learning
Multigraph Transformer for Free-Hand Sketch Recognition
Globally Adaptive Neural Network Tracking for Uncertain Output-Feedback Systems
On the Distribution of Successor States in Boolean Threshold Networks
Semisupervised Support Vector Machines With Tangent Space Intrinsic Manifold Regularization
A comparative study of access topologies for chip-level address-event communication channels
A connectionist model for category perception: theory and implementation
Vector quantization of neural networks
Robust Multiview Data Analysis Through Collective Low-Rank Subspace
Wavelet Adaptive Backstepping Control for a Class of Nonlinear Systems
Synchronization-Inspired Interpretable Neural Networks
Synchronization of Memristor-Based Coupling Recurrent Neural Networks With Time-Varying Delays and Impulses
Point-MPP: Point Cloud Self-Supervised Learning From Masked Position Prediction
Generalized information potential criterion for adaptive system training
RCT: Resource Constrained Training for Edge AI
Energy function-based approaches to graph coloring
Adaptive Neural Networks Decentralized FTC Design for Nonstrict-Feedback Nonlinear Interconnected Large-Scale Systems Against Actuator Faults
Term Selection for a Class of Separable Nonlinear Models
Joint Dynamic Manifold and Discriminant Information Learning for Feature Extraction
BELM: Bayesian Extreme Learning Machine
Deep Neural Network for Structural Prediction and Lane Detection in Traffic Scene
Coexistence of Cyclic Sequential Pattern Recognition and Associative Memory in Neural Networks by Attractor Mechanisms
The Hierarchical Discrete Pursuit Learning Automaton: A Novel Scheme With Fast Convergence and Epsilon-Optimality
Graph Convolutional Network Discrete Hashing for Cross-Modal Retrieval
A Distributed Lyapunov-Based Redesign Approach for Heterogeneous Uncertain Agents With Cooperation-Competition Interactions
Global and Local Knowledge-Aware Attention Network for Action Recognition
Low-Rank Graph Completion-Based Incomplete Multiview Clustering
General Square-Pattern Discretization Formulas via Second-Order Derivative Elimination for Zeroing Neural Network Illustrated by Future Optimization
Training multilayer perceptron classifiers based on a modified support vector method
GPENs: Graph Data Learning With Graph Propagation-Embedding Networks
Fully Decentralized Semi-supervised Learning via Privacy-preserving Matrix Completion
Feedback-Linearization-Based Neural Adaptive Control for Unknown Nonaffine Nonlinear Discrete-Time Systems
Quantization-Based Adaptive Actor-Critic Tracking Control With Tracking Error Constraints
Feature Selection Using a Piecewise Linear Network
Reinforcement Learning for Blast Furnace Ironmaking Operation With Safety and Partial Observation Considerations
A Comprehensive Framework for Long-Tailed Learning via Pretraining and Normalization
Correlated SVD and Its Application in Bearing Fault Diagnosis
TRUST-TECH-Based Systematic Search for Multiple Local Optima in Deep Neural Nets
An accelerated learning algorithm for multilayer perceptrons: optimization layer by layer
On Adaptive Boosting for System Identification
Deep Learning for Visual Localization and Mapping: A Survey
Sample Balancing for Deep Learning-Based Visual Recognition
Symbolic connectionism in natural language disambiguation
Stability Analysis of Continuous-Time and Discrete-Time Quaternion-Valued Neural Networks With Linear Threshold Neurons
Robust C-Loss Kernel Classifiers
Hierarchical Echo State Network With Sparse Learning: A Method for Multidimensional Chaotic Time Series Prediction
Nonlinear Dimensionality Reduction With Missing Data Using Parametric Multiple Imputations
Runge-Kutta neural network for identification of dynamical systems in high accuracy
Neural classifiers using one-time updating
Weak Stabilization of Boolean Networks Under State-Flipped Control
Adaptive Approximation Based Control: Unifying Neural, Fuzzy and Traditional Adaptive Approximation Approaches (Farrell, J.A. and Polycarpou, M.M. [Book review]
Coarse-to-fine boundary location with a SOM-like method
Training data development with the D-optimality criterion
ANASA-a stochastic reinforcement algorithm for real-valued neural computation
Geometry-Based Molecular Generation With Deep Constrained Variational Autoencoder
Time-Varying Optimal Formation Control for Second-Order Multiagent Systems Based on Neural Network Observer and Reinforcement Learning
Analysis and Application of Matrix-Form Neural Networks for Fast Matrix-Variable Convex Optimization
Conditional probability density function estimation with sigmoidal neural networks
Modulation Classification Based on Signal Constellation Diagrams and Deep Learning
Toward Pixel-Level Precision for Binary Super-Resolution With Mixed Binary Representation
A geometrical representation of McCulloch-Pitts neural model and its applications
Infinite Horizon Self-Learning Optimal Control of Nonaffine Discrete-Time Nonlinear Systems
Theoretical properties of recursive neural networks with linear neurons
Auto-Regressive Processes Explained by Self-Organized Maps. Application to the Detection of Abnormal Behavior in Industrial Processes
A Distributed Approach Toward Discriminative Distance Metric Learning
Continuous-Time Reinforcement Learning Control: A Review of Theoretical Results, Insights on Performance, and Needs for New Designs
Experimental Study of Artificial Neural Networks Using a Digital Memristor Simulator
Correction to "Convergence and Rate Analysis of Neural Networks for Sparse Approximation"
Data-Driven Intelligent Warning Method for Membrane Fouling
A Constrained Backpropagation Approach for the Adaptive Solution of Partial Differential Equations
End-to-End Hierarchical Reinforcement Learning With Integrated Subgoal Discovery
Frequency-sensitive competitive learning for scalable balanced clustering on high-dimensional hyperspheres
Prescribed Performance Control of Uncertain Euler-Lagrange Systems Subject to Full-State Constraints
An adaptive neural processing node
Generalized SMO Algorithm for SVM-Based Multitask Learning
Inverse Reinforcement Learning for Adversarial Apprentice Games
Rank Consistency Induced Multiview Subspace Clustering via Low-Rank Matrix Factorization
Zhang Neural Network for Online Solution of Time-Varying Linear Matrix Inequality Aided With an Equality Conversion
Learning Graph Representations Through Learning and Propagating Edge Features
Reconciling Saliency and Object Center-Bias Hypotheses in Explaining Free-Viewing Fixations
Signature Neural Networks: Definition and Application to Multidimensional Sorting Problems
Generalized Constraint Neural Network Regression Model Subject to Linear Priors
An Intelligent Method for Predicting the Pressure Coefficient Curve of Airfoil-Based Conditional Generative Adversarial Networks
Multi-Task Multi-Agent Reinforcement Learning With Interaction and Task Representations
FPGA-Based High-Throughput CNN Hardware Accelerator With High Computing Resource Utilization Ratio
Deep Mixture Generative Autoencoders
Snippet Policy Network V2: Knee-Guided Neuroevolution for Multi-Lead ECG Early Classification
Neuro-Adaptive Control With Given Performance Specifications for Strict Feedback Systems Under Full-State Constraints
A High-Efficient Hybrid Physics-Informed Neural Networks Based on Convolutional Neural Network
Finite-Horizon Near-Optimal Output Feedback Neural Network Control of Quantized Nonlinear Discrete-Time Systems With Input Constraint
A Semantic-Consistent Few-Shot Modulation Recognition Framework for IoT Applications
Human tracking using convolutional neural networks
Recurrent Neural Networks With External Addressable Long-Term and Working Memory for Learning Long-Term Dependences
Heterogeneous Feature Selection Based on Neighborhood Combination Entropy
Efficient Communication via Self-Supervised Information Aggregation for Online and Offline Multiagent Reinforcement Learning
VGN: Value Decomposition With Graph Attention Networks for Multiagent Reinforcement Learning
Wide-Area Composite Load Parameter Identification Based on Multi-Residual Deep Neural Network
Learning Single Spectral Abundance for Hyperspectral Subpixel Target Detection
Deep Reinforcement Learning Approach for Dynamic Distribution Network Reconfiguration Based on Sequential Masking
RSF-Conv: Rotation-and-Scale Equivariant Fourier Parameterized Convolution for Retinal Vessel Segmentation
Fast Clustering by Directly Solving Bipartite Graph Clustering Problem
A fast feedforward training algorithm using a modified form of the standard backpropagation algorithm
Tracking Control of Unknown and Constrained Nonlinear Systems via Neural Networks With Implicit Weight and Activation Learning
A model for nonpolynomial decrease in error rate with increasing sample size
Feedback Stabilization of Boolean Control Networks With Missing Data
Look More Into Occlusion: Realistic Face Frontalization and Recognition With BoostGAN
PSO-Based Cloning Template Design for CNN Associative Memories
Discriminative Sparse Neighbor Approximation for Imbalanced Learning
Off-Policy Reinforcement Learning for Tracking in Continuous-Time Systems on Two Time Scales
A Regularized SNPOM for Stable Parameter Estimation of RBF-AR(X) Model
One-Shot Secure Federated K-Means Clustering Based on Density Cores
A neural approach for control of nonlinear systems with feedback linearization
Skip-Connected Covariance Network for Remote Sensing Scene Classification
Noise suppressing sensor encoding and neural signal orthonormalization
Modeling focus of attention for meeting indexing based on multiple cues
Data-Driven-Based Event-Triggered Control for Nonlinear CPSs Against Jamming Attacks
Dynamic Neural Network for Bicriteria Weighted Control of Robot Manipulators
Equivalences between neural-autoregressive time series models and fuzzy systems
Maximum Correntropy Criterion-Based Robust Semisupervised Concept Factorization for Image Representation
$\mathcal{DBSDA}$ : Lowering the Bound of Misclassification Rate for Sparse Linear Discriminant Analysis via Model Debiasing
Granular Ball Twin Support Vector Machine
Adaptive Neural Network Decentralized Backstepping Output-Feedback Control for Nonlinear Large-Scale Systems With Time Delays
Brain Dynamics in Predicting Driving Fatigue Using a Recurrent Self-Evolving Fuzzy Neural Network
A simple method to derive bounds on the size and to train multilayer neural networks
Convergence Analysis on Trace Ratio Linear Discriminant Analysis Algorithms
Independent component analysis based on nonparametric density estimation
Groupwise Retargeted Least-Squares Regression
Optimizing Graph Neural Network With Multiaspect Hilbert-Schmidt Independence Criterion
F-SVM: Combination of Feature Transformation and SVM Learning via Convex Relaxation
A transiently chaotic neural-network implementation of the CDMA multiuser detector
A Survey of Automated Data Augmentation for Image Classification: Learning to Compose, Mix, and Generate
A binary Hopfield neural-network approach for satellite broadcast scheduling problems
Discovering Intrinsic Subgoals for Vision- and-Language Navigation via Hierarchical Reinforcement Learning
Driving Risk Assessment for Intelligent Vehicles Based on Entropy-Informed Graph Neural Networks and Gaussian Distributions
Ultimate performance of QEM classifiers
Deep Coattention-Based Comparator for Relative Representation Learning in Person Re-Identification
Protecting Deep Learning Model Copyrights With Adversarial Example-Free Reuse Detection
Learning Kernel Extended Dictionary for Face Recognition
Fast probabilistic self-structuring of generalized single-layer networks
On the Imaginary Wings: Text-Assisted Complex-Valued Fusion Network for Fine-Grained Visual Classification
Automatic machine interactions for content-based image retrieval using a self-organizing tree map architecture
Encoding method for bidirectional associative memory using projection on convex sets
A Novel Dynamic Multiobjective Optimization Algorithm With Non-Inductive Transfer Learning Based on Multi-Strategy Adaptive Selection
Granger Causality Inference in EEG Source Connectivity Analysis: A State-Space Approach
Asymptotic behavior of irreducible excitatory networks of analog graded-response neurons
Distributed Model-Free Adaptive Learning Control of Discrete-Time Nonlinear Multiagent Systems
Output Stabilizing Control of Complex Biological Networks Based on Boolean Algebra Analysis
Mining Markov Blankets Without Causal Sufficiency
Augmented Lagrange Programming Neural Network for Localization Using Time-Difference-of-Arrival Measurements
On Objective Function, Regularizer, and Prediction Error of a Learning Algorithm for Dealing With Multiplicative Weight Noise
Weight Decay With Tailored Adam on Scale-Invariant Weights for Better Generalization
Tensor-Empowered Adaptive Learning for Few-Shot Streaming Tasks
iDARTS: Improving DARTS by Node Normalization and Decorrelation Discretization
Global stability for cellular neural networks with time delay
Shielded Planning Guided Data-Efficient and Safe Reinforcement Learning
Data-Driven Knowledge Fusion for Deep Multi-Instance Learning
Signal Processing with temporal sequences in olfactory systems
SymNet: A Simple Symmetric Positive Definite Manifold Deep Learning Method for Image Set Classification
Parameter-Free Loss for Class-Imbalanced Deep Learning in Image Classification
Neurosymbolic AI for Reasoning Over Knowledge Graphs: A Survey
Capture interspeaker information with a neural network for speaker identification
From projection pursuit and CART to adaptive discriminant analysis?
On Wang k WTA With Input Noise, Output Node Stochastic, and Recurrent State Noise
Computing second derivatives in feed-forward networks: a review
Pseudo-Label Guided Structural Discriminative Subspace Learning for Unsupervised Feature Selection
Convolutional Neural Network for Behavioral Modeling and Predistortion of Wideband Power Amplifiers
Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural Networks
Soft nearest prototype classification
Finite-Horizon Approximate Optimal Guaranteed Cost Control of Uncertain Nonlinear Systems With Application to Mars Entry Guidance
InfoAT: Improving Adversarial Training Using the Information Bottleneck Principle
MutexMatch: Semi-Supervised Learning With Mutex-Based Consistency Regularization
Joint Attributes and Event Analysis for Multimedia Event Detection
Learning Temporal Information for Brain-Computer Interface Using Convolutional Neural Networks
Generative Memory for Lifelong Learning
Fixed-Time Pinning Common Synchronization and Adaptive Synchronization for Delayed Quaternion-Valued Neural Networks
Symbolic Representation of Recurrent Neural Network Dynamics
Modified Neural Dynamic Surface Approach to Output Feedback of MIMO Nonlinear Systems
New Passivity Analysis for Neural Networks With Discrete and Distributed Delays
Analysis and Modeling of Naturalness in Handwritten Characters
Nonfragile Exponential Synchronization of Delayed Complex Dynamical Networks With Memory Sampled-Data Control
Neural-network models for the blood glucose metabolism of a diabetic
ScaleGCN: Efficient and Effective Graph Convolution via Channel-Wise Scale Transformation
On the uniqueness of weights in single-layer perceptrons
Weighted $p$ -Bits for FPGA Implementation of Probabilistic Circuits
Branching competitive learning Network: A novel self-creating model
A rank-one update algorithm for fast solving kernel Foley-Sammon optimal discriminant vectors
Augmented Sparse Representation for Incomplete Multiview Clustering
Self-splitting competitive learning: a new on-line clustering paradigm
Reversed Spectral Hashing
Symmetric Complex-Valued RBF Receiver for Multiple-Antenna-Aided Wireless Systems
Online Incremental Classification Resonance Network and Its Application to Human-Robot Interaction
Scalable Distributed Filtering for a Class of Discrete-Time Complex Networks Over Time-Varying Topology
Semisupervised Feature Analysis by Mining Correlations Among Multiple Tasks
Catastrophic Interference in Reinforcement Learning: A Solution Based on Context Division and Knowledge Distillation
A Noniterative Supervised On-Chip Training Circuitry for Reservoir Computing Systems
Pruning recurrent neural networks for improved generalization performance
Toward Robust Graph Semi-Supervised Learning Against Extreme Data Scarcity
DefectSAM: Hierarchically Adapting SAM for Pixel-Wise Surface Defect Detection
Structure-Aware Prototypical Neural Process for Few-Shot Graph Classification
Variational Random Function Model for Network Modeling
Learning With Label Proportions by Incorporating Unmarked Data
Twin Support Vector Machine for Clustering
A rapid supervised learning neural network for function interpolation and approximation