yusuke1997/dblp-id-title huggingface dataset:
A Forward-Constrained Regression Algorithm for Sparse Kernel Density Estimation
Transition Propagation Graph Neural Networks for Temporal Networks
A neuromorphic VLSI device for implementing 2D selective attention systems
Distributed Containment Control for Multiple Unknown Second-Order Nonlinear Systems With Application to Networked Lagrangian Systems
Discriminative Transfer Feature and Label Consistency for Cross-Domain Image Classification
An Adaptable Connectionist Text-Retrieval System With Relevance Feedback
Learned Gradient Compression for Distributed Deep Learning
Memory annihilation of structured maps in bidirectional associative memories
Disturbance Observer-Based Neural Network Control of Cooperative Multiple Manipulators With Input Saturation
CapsRule: Explainable Deep Learning for Classifying Network Attacks
Neuron type processor modeling using a timed Petri net
High-speed face recognition based on discrete cosine transform and RBF neural networks
Bayesian Neural Networks for Internet Traffic Classification
Improved Soft Actor-Critic: Mixing Prioritized Off-Policy Samples With On-Policy Experiences
One-Class SVM Probabilistic Outputs
Effective Collaborative Representation Learning for Multilabel Text Categorization
ProFun-SOM: Protein Function Prediction for Specific Ontology Based on Multiple Sequence Alignment Reconstruction
Contrastive Ensemble Clustering
Stability Analysis and Application for Delayed Neural Networks Driven by Fractional Brownian Noise
Semi-Supervised Nearest Mean Classification Through a Constrained Log-Likelihood
Bit Reduction for Locality-Sensitive Hashing
Sampled-Data Synchronization of Stochastic Markovian Jump Neural Networks With Time-Varying Delay
Rethinking Pretraining as a Bridge From ANNs to SNNs
Improvements of Complex-Valued Hopfield Associative Memory by Using Generalized Projection Rules
Hyperbolic Gradient Operator and Hyperbolic Back-Propagation Learning Algorithms
Clustering-based algorithms for single-hidden-layer sigmoid perceptron
An Information Fusion System-Driven Deep Neural Networks With Application to Cancer Mortality Risk Estimate
Recurrent-Neural-Network-Based Multivariable Adaptive Control for a Class of Nonlinear Dynamic Systems With Time-Varying Delay
Learning in Text Streams: Discovery and Disambiguation of Entity and Relation Instances
Event-Assisted Recurrent Network for Arbitrary-Temporal-Scale Blurry Image Unfolding
DiffStyler: Controllable Dual Diffusion for Text-Driven Image Stylization
Adversarial Recurrent Time Series Imputation
Identification of Nonlinear Spatiotemporal Dynamical Systems With Nonuniform Observations Using Reproducing-Kernel-Based Integral Least Square Regulation
Feature Selection Based on Neighborhood Discrimination Index
Finite-Time Output Synchronization of Undirected and Directed Coupled Neural Networks With Output Coupling
Boosted Network Classifiers for Local Feature Selection
Proportional-Integral Observer-Based State Estimation for Singularly Perturbed Complex Networks With Cyberattacks
k-winners-take-all neural net with Θ(1) time complexity
Single-Input Pinning Controller Design for Reachability of Boolean Networks
Denoised Non-Local Neural Network for Semantic Segmentation
Online Intention Recognition With Incomplete Information Based on a Weighted Contrastive Predictive Coding Model in Wargame
Stability analysis for neural dynamics with time-varying delays
IP core implementation of a self-organizing neural network
End-to-End Abnormal Subgraph Detection via Subgraph-Level Contrastive Learning
Pricing and hedging derivative securities with neural networks: Bayesian regularization, early stopping, and bagging
Space-Time Adaptive Decision Feedback Neural Receivers With Data Selection for High-Data-Rate Users in DS-CDMA Systems
Finite-Time Synchronization of Discontinuous Neural Networks With Delays and Mismatched Parameters
Adaptively Combined FIR and Functional Link Artificial Neural Network Equalizer for Nonlinear Communication Channel
Intelligent Trainer for Dyna-Style Model-Based Deep Reinforcement Learning
Efficient source adaptivity in independent component analysis
Comments on "Silicon models of lateral inhibition" [with reply]
A Constructive Hybrid Structure Optimization Methodology for Radial Basis Probabilistic Neural Networks
Local Stability of Wasserstein GANs With Abstract Gradient Penalty
Comments on "Backpropagation Algorithms for a Broad Class of Dynamic Networks"
Multistability for Delayed Neural Networks via Sequential Contracting
A new gradient-based neural network for solving linear and quadratic programming problems
GT-HAD: Gated Transformer for Hyperspectral Anomaly Detection
Mean Vector Component Analysis for Visualization and Clustering of Nonnegative Data
Leveraging Bilateral Correlations for Multi-Label Few-Shot Learning
A new back-propagation algorithm with coupled neuron
Deep Multirepresentation Learning for Data Clustering
A Time-Delay Feedback Neural Network for Discriminating Small, Fast-Moving Targets in Complex Dynamic Environments
An Interval-Valued Neural Network Approach for Uncertainty Quantification in Short-Term Wind Speed Prediction
Pairwise Constraint Propagation With Dual Adversarial Manifold Regularization
New Delay-Dependent Stability Results for Neural Networks With Time-Varying Delay
An Efficient Entropy-Based Causal Discovery Method for Linear Structural Equation Models With IID Noise Variables
Fractional Fourier Image Transformer for Multimodal Remote Sensing Data Classification
Mixture Correntropy-Based Kernel Extreme Learning Machines
Discriminative Fast Hierarchical Learning for Multiclass Image Classification
A Deep Motion Sickness Predictor Induced by Visual Stimuli in Virtual Reality
Hierarchical Regression and Classification for Accurate Object Detection
Safe Reinforcement Learning With Stability Guarantee for Motion Planning of Autonomous Vehicles
Beyond Feedforward Models Trained by Backpropagation: A Practical Training Tool for a More Efficient Universal Approximator
Visualization of Tree-Structured Data Through Generative Topographic Mapping
A New Result on H ∞ State Estimation of Delayed Static Neural Networks
Stability Analysis for Neural Networks With Time-Varying Delay Based on Quadratic Convex Combination
Editorial TNNLS Special Issues and Editorial Board Changes
Neural Network-Based Fixed-Time Tracking Control for Input-Quantized Nonlinear Systems With Actuator Faults
Local Stability Analysis of Discrete-Time, Continuous-State, Complex-Valued Recurrent Neural Networks With Inner State Feedback
Parallel Solution of Nonlinear Projection Equations in a Multitask Learning Framework
MLMVN With Soft Margins Learning
Decision-based neural networks with signal/image classification applications
The Dilemma of Quantum Neural Networks
Sparsely Activated Networks
Unlearning Attacks for Regression Learning
ATM communications network control by neural networks
Dynamic Feature Acquisition Using Denoising Autoencoders
A Multitask Network for Joint Multispectral Pansharpening on Diverse Satellite Data
FSMRank: Feature Selection Algorithm for Learning to Rank
RBF NN-Enabled Adaptive Filter for Any Type of Noise
Stochastic Sampled-Data Exponential Synchronization of Markovian Jump Neural Networks With Time-Varying Delays
Manifold Ranking-Based Matrix Factorization for Saliency Detection
Energy Disaggregation via Deep Temporal Dictionary Learning
Perfect image segmentation using pulse coupled neural networks
Discrete probability estimation for classification using certainty-factor-based neural networks
Neuron selection for RBF neural network classifier based on data structure preserving criterion
Extreme Learning Machine With Affine Transformation Inputs in an Activation Function
Firing Rate Propagation Through Neuronal-Astrocytic Network
Learning to Predict Consequences as a Method of Knowledge Transfer in Reinforcement Learning
An Online Outlier Identification and Removal Scheme for Improving Fault Detection Performance
A Deterministic Analysis of an Online Convex Mixture of Experts Algorithm
PAFormer: Anomaly Detection of Time Series With Parallel-Attention Transformer
Nonfragile H ∞ State Estimation for Recurrent Neural Networks With Time-Varying Delays: On Proportional-Integral Observer Design
Silicon-Based Dynamic Synapse With Depressing Response
Analytical Uncertainty Propagation in Neural Networks
Spartus: A 9.4 TOp/s FPGA-Based LSTM Accelerator Exploiting Spatio-Temporal Sparsity
Stability and Synchronization of Discrete-Time Neural Networks With Switching Parameters and Time-Varying Delays
Discriminative Metric Learning for Partial Label Learning
An accelerated learning algorithm for multilayer perceptron networks
An Adaptable Continuous Restricted Boltzmann Machine in VLSI for Fusing the Sensory Data of an Electronic Nose
Multiclass Graph-Based Large Margin Classifiers: Unified Approach for Support Vectors and Neural Networks
Threats and Defenses in the Federated Learning Life Cycle: A Comprehensive Survey and Challenges
New Bounds on the Accuracy of Majority Voting for Multiclass Classification
Semi-Identical Twins Variational AutoEncoder for Few-Shot Learning
Feedback stabilization using two-hidden-layer nets
Neural-network classifiers for recognizing totally unconstrained handwritten numerals
Langevin Cooling for Unsupervised Domain Translation
A Novel and Safe Two-Stage Screening Method for Support Vector Machine
Real-Time Neural Network Inversion on the SRC-6e Reconfigurable Computer
Classification of noisy signals using fuzzy ARTMAP neural networks
Off-OAB: Off-Policy Policy Gradient Method With Optimal Action-Dependent Baseline
Projection Rule for Rotor Hopfield Neural Networks
Which model to use for cortical spiking neurons?
Adaptive Critic Design for Pure-Feedback Discrete-Time MIMO Systems Preceded by Unknown Backlashlike Hysteresis
Estimate of exponential convergence rate and exponential stability for neural networks
Smoothness Regularized Multiview Subspace Clustering With Kernel Learning
Semi-Supervised Non-Negative Matrix Factorization With Dissimilarity and Similarity Regularization
Integrated Optimal Control for Electrolyte Temperature With Temporal Causal Network and Reinforcement Learning
Robust Representation Learning for Power System Short-Term Voltage Stability Assessment Under Diverse Data Loss Conditions
Anchor-Based Multiview Subspace Clustering With Anchor-wise and Class-wise Alignments
Rough fuzzy MLP: knowledge encoding and classification
A bidirectional heteroassociative memory for binary and grey-level patterns
GBCT: Efficient and Adaptive Clustering via Granular-Ball Computing for Complex Data
Indoor Location System Based on Discriminant-Adaptive Neural Network in IEEE 802.11 Environments
Deep Spiking Neural Network for Video-Based Disguise Face Recognition Based on Dynamic Facial Movements
Model Pruning Enables Efficient Federated Learning on Edge Devices
Knowledge-Guided Label Distribution Calibration for Federated Affective Computing
A novel objective function for improved phoneme recognition using time-delay neural networks
Long-term forecasting of Internet backbone traffic
Self-Organization in Autonomous, Recurrent, Firing-Rate CrossNets With Quasi-Hebbian Plasticity
Graph Neural Networks With High-Order Polynomial Spectral Filters
Stacked Ensemble Deep Random Vector Functional Link Network With Residual Learning for Medium-Scale Time-Series Forecasting
Entropy maximization networks: an application to breast cancer prognosis
Dynamically Generated Hierarchical Neural Networks Designed With the Aid of Multiple Support Vector Regressors and PNN Architecture With Probabilistic Selection
An Event-Driven Categorization Model for AER Image Sensors Using Multispike Encoding and Learning
Parallel sequential minimal optimization for the training of support vector machines
Adaptive Tracking Control for Robots With an Interneural Computing Scheme
Efficient Exact Inference With Loss Augmented Objective in Structured Learning
Data-Driven H ∞ Control for Nonlinear Distributed Parameter Systems
Peaking-Free Output-Feedback Adaptive Neural Control Under a Nonseparation Principle
Online and Robust Intermittent Motion Planning in Dynamic and Changing Environments
Extended Input Space Support Vector Machine
Fast and Effective Active Clustering Ensemble Based on Density Peak
Vector mapping with a nonlinear electronic layer for distributed neural networks
Achieving Online Regression Performance of LSTMs With Simple RNNs
Handwritten digit recognition by adaptive-subspace self-organizing map (ASSOM)
Center-Aware Adversarial Autoencoder for Anomaly Detection
Pixel-Level Noise Mining for Weakly Supervised Salient Object Detection
Approximation of Ensemble Boundary Using Spectral Coefficients
Hierarchical Label-Enhanced Contrastive Learning for Chinese NER
Convolution Bridge: An Effective Algorithmic Migration Strategy From CNNs to GNNs
A Nearest Neighbor Classifier Employing Critical Boundary Vectors for Efficient On-Chip Template Reduction
Active Clustering Ensemble With Self-Paced Learning
Energy-Efficient LSTM Networks for Online Learning
Dissimilarity-Based Ensembles for Multiple Instance Learning
Constructive approximation to multivariate function by decay RBF neural network
Parallel, self-organizing, hierarchical neural networks
Learning Kernel Classifiers: Theory and Algorithms (Herbrich, R.; 2002) [Book reviews]
Using self-organizing maps to learn geometric hash functions for model-based object recognition
Driving Under the Influence (of Language)
Convergence of the Distributed SG Algorithm Under Cooperative Excitation Condition
Bayesian Nonparametric Adaptive Control Using Gaussian Processes
EM-Trans: Edge-Aware Multimodal Transformer for RGB-D Salient Object Detection
A Node-Collaboration-Informed Graph Convolutional Network for Highly Accurate Representation to Undirected Weighted Graph
PCA Feature Extraction for Change Detection in Multidimensional Unlabeled Data
A Fast Finite-Time Neural Network Control of Stochastic Nonlinear Systems
Recurrent neural networks and robust time series prediction
Empowering Simple Graph Convolutional Networks
Learning to Double-Check Model Prediction From a Causal Perspective
MetaFed: Federated Learning Among Federations With Cyclic Knowledge Distillation for Personalized Healthcare
The Perturbation Analysis of Nonconvex Low-Rank Matrix Robust Recovery
An improved algorithm for the solution of the regularization path of support vector machine
Stability and Hopf Bifurcation of a General Delayed Recurrent Neural Network
Adaptive NN Distributed Control for Time-Varying Networks of Nonlinear Agents With Antagonistic Interactions
On the application of orthogonal transformation for the design and analysis of feedforward networks
Learning convergence of CMAC technique
LR Aerial Photo Categorization by Cross-Resolution Perceptual Knowledge Propagation
Evolutionary Dynamics of Population Games With an Aspiration-Based Learning Rule
Adaptive Optimal Surrounding Control of Multiple Unmanned Surface Vessels via Actor-Critic Reinforcement Learning
Structured Weak Semantic Space Construction for Visual Categorization
Ordinal Regression for Direction-Related Anomaly Detection
Novel Cascade FPGA Accelerator for Support Vector Machines Classification
Discriminative Ridge Machine: A Classifier for High-Dimensional Data or Imbalanced Data
A Graph-Neural-Network-Powered Solver Framework for Graph Optimization Problems
A Deep Convolutional Coupling Network for Change Detection Based on Heterogeneous Optical and Radar Images
Hierarchical Graph Convolutional Network Built by Multiscale Atlases for Brain Disorder Diagnosis Using Functional Connectivity
Two-dimensional spatio-temporal dynamics of analog image processing neural networks
Stability Analysis of Continuous-Time Switched Neural Networks With Time-Varying Delay Based on Admissible Edge-Dependent Average Dwell Time
Dynamic Learning From Adaptive Neural Control for Discrete-Time Strict-Feedback Systems
Data Visualization and Dimensionality Reduction Using Kernel Maps With a Reference Point
Constrained Clustering With Dissimilarity Propagation-Guided Graph-Laplacian PCA
Nearly Optimal Control for Mixed Zero-Sum Game Based on Off-Policy Integral Reinforcement Learning
A neural-network contention controller for packet switching networks
A fast identification algorithm for box-cox transformation based radial basis function neural network
Why Is Everyone Training Very Deep Neural Network With Skip Connections?
Learning Low-Rank Decomposition for Pan-Sharpening With Spatial-Spectral Offsets
Multivehicle Task Assignment Based on Collaborative Neurodynamic Optimization With Discrete Hopfield Networks
Training Two-Layered Feedforward Networks With Variable Projection Method
Multiagent Reinforcement Learning With Graphical Mutual Information Maximization
Staged Self-Supervised Learning for Raven Progressive Matrices
Approximations of continuous functionals by neural networks with application to dynamic systems
Selecting inputs for modeling using normalized higher order statistics and independent component analysis
Cluster Synchronization for Neutral Stochastic Delay Networks via Intermittent Adaptive Control
Containment Control for Second-Order Multiagent Systems Communicating Over Heterogeneous Networks
Learning Fair Representations via Distance Correlation Minimization
Global Robust Stability Criteria for Interval Delayed Full-Range Cellular Neural Networks
Adaptive Hidden Markov Model With Anomaly States for Price Manipulation Detection
Initialization-Based k-Winners-Take-All Neural Network Model Using Modified Gradient Descent
Exponential Stabilization of Memristive Neural Networks With Time Delays
Semantically Modeling of Object and Context for Categorization
Neuroadaptive Control With Enhanced Stability and Reliability
A Neural Network-Based Joint Prognostic Model for Data Fusion and Remaining Useful Life Prediction
An Alternating Identification Algorithm for a Class of Nonlinear Dynamical Systems
Lagrange Programming Neural Network for Nondifferentiable Optimization Problems in Sparse Approximation
A Novel Equivalent Model of Active Distribution Networks Based on LSTM
Identification of Boolean Networks Using Premined Network Topology Information
Comparing neural networks: a benchmark on growing neural gas, growing cell structures, and fuzzy ARTMAP
Moving-Horizon State Estimation for Nonlinear Systems Using Neural Networks
Training Recurrent Neural Networks With the Levenberg-Marquardt Algorithm for Optimal Control of a Grid-Connected Converter
A New Correntropy-Based Conjugate Gradient Backpropagation Algorithm for Improving Training in Neural Networks
Dual-Graph Attention Convolution Network for 3-D Point Cloud Classification
Mixture of experts for classification of gender, ethnic origin, and pose of human faces
Deep Learning of Constrained Autoencoders for Enhanced Understanding of Data
M4CXR: Exploring Multitask Potentials of Multimodal Large Language Models for Chest X-Ray Interpretation
Characterization of Analog Local Cluster Neural Network Hardware for Control
Normalized Mutual Information Feature Selection
Deriving sufficient conditions for global asymptotic stability of delayed neural networks via nonsmooth analysis
Corrections To "Adaptive Critic Designs"
Data-Driven Optimal Tracking Control for Discrete-Time Nonlinear Systems With Unknown Dynamics Using Deterministic ADP
Flexible Vertical Federated Learning With Heterogeneous Parties
Kernel Path for ν-Support Vector Classification
Margin-maximizing feature elimination methods for linear and nonlinear kernel-based discriminant functions
Zonotope-Based Distributed Set-Membership Fusion Estimation for Artificial Neural Networks Under the Dynamic Event-Triggered Mechanism
Bio-basis function neural network for prediction of protease cleavage sites in proteins
Adaptive Decentralized Control for Constrained Strong Interconnected Nonlinear Systems and Its Application to Inverted Pendulum
MEC - A Near-Optimal Online Reinforcement Learning Algorithm for Continuous Deterministic Systems
A Bayesian Perspective on Stochastic Neurocontrol
Learn ++ .NC: Combining Ensemble of Classifiers With Dynamically Weighted Consult-and-Vote for Efficient Incremental Learning of New Classes
A parallel genetic/neural network learning algorithm for MIMD shared memory machines
3-D Convolutional Neural Networks for RGB-D Salient Object Detection and Beyond
Real-Time Semantic Segmentation via Spatial-Detail Guided Context Propagation
Neural-Network-Based Iterative Learning Control for Multiple Tasks
Sparse Temporal Encoding of Visual Features for Robust Object Recognition by Spiking Neurons
Non-Intrusive Speech Quality Assessment Based on Deep Neural Networks for Speech Communication
DeepSeg: Deep Segmental Denoising Neural Network for Seismic Data
Adaptive Neural Output Feedback Controller Design With Reduced-Order Observer for a Class of Uncertain Nonlinear SISO Systems
Do Neural Network Weights Account for Classes Centers?
Fine-Grained Visual-Text Prompt-Driven Self-Training for Open-Vocabulary Object Detection
A MOSFET-based model of a class 2 nerve membrane
Perceiving geometric patterns: from spirals to inside-outside relations
Chain-of-Situation Aware Progressive Inference Learning
Boosting Reinforcement Learning via Hierarchical Game Playing With State Relay
Spectral Cross-Domain Neural Network With Soft-Adaptive Threshold Spectral Enhancement
Beyond Correlations: Deep Learning for Seismic Interferometry
Discrete Robust Principal Component Analysis via Binary Weights Self-Learning
Neural Cryptography Based on Complex-Valued Neural Network
Exterior-Point Method for Support Vector Machines
Data-Driven Iterative Learning Control for Nonlinear Discrete-Time MIMO Systems
A statistical property of multiagent learning based on Markov decision process
Special Issue on Deep Reinforcement Learning and Adaptive Dynamic Programming
Energy function analysis of dynamic programming neural networks
Enhanced Gradient for Differentiable Architecture Search
Brain state in a convex body
The Forbidden Region Self-Organizing Map Neural Network
Collaborative Decision-Reinforced Self-Supervision for Attributed Graph Clustering
Fully Connected Networks on a Diet With the Mediterranean Matrix Multiplication
Comparison of different classification algorithms for underwater target discrimination
Graph-Based Multicentroid Nonnegative Matrix Factorization
Semisupervised Feature Learning by Deep Entropy-Sparsity Subspace Clustering
CPST-GAN: Conditional Probabilistic State Transition Generative Adversarial Network With the Biomedical Large Foundation Models
Sparse component analysis and blind source separation of underdetermined mixtures
DynG2G: An Efficient Stochastic Graph Embedding Method for Temporal Graphs
Data-Driven Robust Control of Discrete-Time Uncertain Linear Systems via Off-Policy Reinforcement Learning
Neural net algorithms that learn in polynomial time from examples and queries
Decoupling Neural Networks to Leverage Uniform Representation and Balance Personalization and Collaboration in Federated Learning
C-CNN: Contourlet Convolutional Neural Networks
Mind the Remainder: Taylor's Theorem View on Recurrent Neural Networks
A Trust-Region Projection Neural Network for Nonlinear Programming
Rigorous proof of termination of SMO algorithm for support vector Machines
Boundary Control of 2-D Burgers' PDE: An Adaptive Dynamic Programming Approach
Knowledge Graphs and Pretrained Language Models Enhanced Representation Learning for Conversational Recommender Systems
Online Extra Trees Regressor
Beyond Majority Voting: A Coarse-to-Fine Label Filtration for Heavily Noisy Labels
Generalized RLS approach to the training of neural networks
Decoding Stimulus-Reward Pairing From Local Field Potentials Recorded From Monkey Visual Cortex
Graph-Based Semi-Supervised Learning: A Comprehensive Review
Explicit and Implicit Pattern Relation Analysis for Discovering Actionable Negative Sequences
A neural network model of causality
New Scalable and Efficient Online Pairwise Learning Algorithm
InOR-Net: Incremental 3-D Object Recognition Network for Point Cloud Representation
HpGAN: Sequence Search With Generative Adversarial Networks
Multivariate Time-Series Classification Using the Hidden-Unit Logistic Model