yusuke1997/dblp-id-title huggingface dataset:
Solving Partial Least Squares Regression via Manifold Optimization Approaches
Neural Network-Based Finite-Time Command Filtering Control for Switched Nonlinear Systems With Backlash-Like Hysteresis
Similarity preserving principal curve: an optimal 1-D feature extractor for data representation
A neural network-based model for paper currency recognition and verification
On Deep Learning for Trust-Aware Recommendations in Social Networks
Books in Brief-Book Reviews
Sensitivity of feedforward neural networks to weight errors
Toward the training of feed-forward neural networks with the D-optimum input sequence
A novel neural network for the synthesis of antennas and microwave devices
Almost Sure Stability of Complex-Valued Complex Networks: A Noise-Based Delayed Coupling Under Random Denial-of-Service Attacks
Design of GBSB neural associative memories using semidefinite programming
Learning and Representing Temporal Knowledge in Recurrent Networks
An evolutionary algorithm that constructs recurrent neural networks
Adaptive Neural Digital Control of Hysteretic Systems With Implicit Inverse Compensator and Its Application on Magnetostrictive Actuator
Advanced Optimal Tracking Control With Stability Guarantee via Novel Value Learning Formulation
A Partial-Node-Based Approach to State Estimation for Complex Networks With Sensor Saturations Under Random Access Protocol
MPCA: Multilinear Principal Component Analysis of Tensor Objects
Identification of the Structure of a Probabilistic Boolean Network From Samples Including Frequencies of Outcomes
Observer-Based Adaptive NN Control for a Class of Uncertain Nonlinear Systems With Nonsymmetric Input Saturation
Blind Source Extraction Using Generalized Autocorrelations
Parsimonious Extreme Learning Machine Using Recursive Orthogonal Least Squares
Weighted least squares training of support vector classifiers leading to compact and adaptive schemes
Nonzero-Sum Game-Based Voltage Recovery Consensus Optimal Control for Nonlinear Microgrids System
Semantic Correlation Transfer for Heterogeneous Domain Adaptation
Semiglobal Suboptimal Output Regulation for Heterogeneous Multi-Agent Systems With Input Saturation via Adaptive Dynamic Programming
Merge Loss Calculation Method for Highly Imbalanced Data Multiclass Classification
On learning context-free and context-sensitive languages
Neural approximation of open-loop feedback rate control in satellite networks
Decentralized Control for Large-Scale Systems With Actuator Faults and External Disturbances: A Data-Driven Method
Bidirectional Active Learning: A Two-Way Exploration Into Unlabeled and Labeled Data Set
Applications of Deep Learning and Reinforcement Learning to Biological Data
Delicately Reinforced k-Nearest Neighbor Classifier Combined With Expert Knowledge Applied to Abnormity Forecast in Electrolytic Cell
GRA: Graph Representation Alignment for Semi-Supervised Action Recognition
Selectable and Unselectable Sets of Neurons in Recurrent Neural Networks With Saturated Piecewise Linear Transfer Function
Regularized Semipaired Kernel CCA for Domain Adaptation
Hierarchical Human-Like Deep Neural Networks for Abstractive Text Summarization
OR/AND neurons and the development of interpretable logic models
An Unsupervised Federated Domain Adaptation Method Based on Knowledge Distillation
Asymmetric Mixture Model With Simultaneous Feature Selection and Model Detection
Anchor Space Optimal Transport as a Fast Solution to Multiple Optimal Transport Problems
Optimized Backstepping Tracking Control Using Reinforcement Learning for a Class of Stochastic Nonlinear Strict-Feedback Systems
Bayesian Neural Networks With Physics-Informed Priors With Application to Boundary Layer Velocity
Universal Approximation of Extreme Learning Machine With Adaptive Growth of Hidden Nodes
Generative Image Reconstruction From Gradients
Multistability of Recurrent Neural Networks With Nonmonotonic Activation Functions and Unbounded Time-Varying Delays
Mixing Linear SVMs for Nonlinear Classification
Observer-Based Adaptive Synchronization of Multiagent Systems With Unknown Parameters Under Attacks
Application of Reinforcement Learning Algorithms for the Adaptive Computation of the Smoothing Parameter for Probabilistic Neural Network
Cluster Synchronization in Directed Networks Via Intermittent Pinning Control
Fast Algorithms for Quaternion-Valued Convolutional Neural Networks
Contact-Force Distribution Optimization and Control for Quadruped Robots Using Both Gradient and Adaptive Neural Networks
Neural Network Structure for Spatio-Temporal Long-Term Memory
Μ-Stability of Nonlinear Positive Systems With Unbounded Time-Varying Delays
Fuzzy min-max neural networks. I. Classification
Flexible neuro-fuzzy systems
Exploiting Meta-Learned Confidences for Imbalanced Multilabel Learning
Nonlinear internal model control using neural networks: application to processes with delay and design issues
Model-Driven Architecture of Extreme Learning Machine to Extract Power Flow Features
A Deep Probabilistic Transfer Learning Framework for Soft Sensor Modeling With Missing Data
Sequential Blind Identification of Underdetermined Mixtures Using a Novel Deflation Scheme
Maximum Margin Clustering Made Practical
Sequential Nonlinear Learning for Distributed Multiagent Systems via Extreme Learning Machines
Boosting Graph Contrastive Learning via Adaptive Sampling
A Spiking Neural Network System for Robust Sequence Recognition
Leaderless and Leader-Following Bipartite Consensus of Multiagent Systems With Sampled and Delayed Information
Efficient Spiking Neural Networks With Radix Encoding
Novel Snap-Layer MMPC Scheme via Neural Dynamics Equivalency and Solver for Redundant Robot Arms With Five-Layer Physical Limits
The Growing Hierarchical Neural Gas Self-Organizing Neural Network
Solving Problems in Environmental Engineering and Geosciences with Artificial Neural Networks [Books
Successive overrelaxation for support vector machines
A Cooperative Learning-Based Clustering Approach to Lip Segmentation Without Knowing Segment Number
A temporally adaptive classifier for multispectral imagery
Identification of the Dynamic Operating Envelope of HCCI Engines Using Class Imbalance Learning
Incremental Embedding Learning With Disentangled Representation Translation
Asymmetric kernel regression
Rethinking RGB-D Salient Object Detection: Models, Data Sets, and Large-Scale Benchmarks
Adaptive inverse control of linear and nonlinear systems using dynamic neural networks
Neural Network-Based Multiple Robot Simultaneous Localization and Mapping
Performance evaluation of multilayer perceptrons in signal detection and classification
A Neural-Network-Based Model for the Dynamic Simulation of the Tire/Suspension System While Traversing Road Irregularities
Networked Multiagent Systems: Antagonistic Interaction, Constraint, and its Application
Exponential Asynchronous Stabilization for Delayed Semi-Markovian Neural Networks via DAEIC
An Equivalence Between Adaptive Dynamic Programming With a Critic and Backpropagation Through Time
A multilayer self-organizing model for convex-hull computation
Face Alignment With Deep Regression
Nonfragile Finite-Time Synchronization for Coupled Neural Networks With Impulsive Approach
Neural Network Architecture for Cognitive Navigation in Dynamic Environments
Errata to "The relevance vector machine technique for channel equalization application"
A class of competitive learning models which avoids neuron underutilization problem
PCNN models and applications
Observer-Based Event-Triggered Adaptive Control for Nonlinear Multiagent Systems With Unknown States and Disturbances
Energy-to-Peak State Estimation for Markov Jump RNNs With Time-Varying Delays via Nonsynchronous Filter With Nonstationary Mode Transitions
Fixed-Final-Time-Constrained Optimal Control of Nonlinear Systems Using Neural Network HJB Approach
Quasi-Synchronization and Bifurcation Results on Fractional-Order Quaternion-Valued Neural Networks
Deep Photonic Reservoir Computer for Speech Recognition
On the Representational Power of Restricted Boltzmann Machines for Symmetric Functions and Boolean Functions
Efficient Learning Control of Uncertain Fractional-Order Chaotic Systems With Disturbance
On the Role of Entropy-Based Loss for Learning Causal Structure With Continuous Optimization
Extreme Learning Machine for Multilayer Perceptron
Bayesian approach to neural-network modeling with input uncertainty
One-Step Multiview Fuzzy Clustering With Collaborative Learning Between Common and Specific Hidden Space Information
Analysis of Boundedness and Convergence of Online Gradient Method for Two-Layer Feedforward Neural Networks
Inductive Structure Consistent Hashing via Flexible Semantic Calibration
Residual Tuning: Toward Novel Category Discovery Without Labels
On the Existence of the Exact Solution of Quaternion-Valued Neural Networks Based on a Sequence of Approximate Solutions
Improving Pretrained Language Model Fine-Tuning With Noise Stability Regularization
Bayesian nonlinear model selection and neural networks: a conjugate prior approach
Weakly Supervised Domain Adaptation for Aspect Extraction via Multilevel Interaction Transfer
Function approximation-fast-convergence neural approach based on spectral analysis
Analog implementation of a Kohonen map with on-chip learning
Data-Based Optimal Consensus Control for Multiagent Systems With Policy Gradient Reinforcement Learning
A Unified Fisher's Ratio Learning Method for Spatial Filter Optimization
eVAE: Evolutionary Variational Autoencoder
On the Size and Width of the Decoder of a Boolean Threshold Autoencoder
Global exponential convergence of Cohen-Grossberg neural networks with time delays
Orthogonal search-based rule extraction (OSRE) for trained neural networks: a practical and efficient approach
A Minimum-Range Approach to Blind Extraction of Bounded Sources
Rotation-invariant neural pattern recognition system estimating a rotation angle
Data Subset Selection With Imperfect Multiple Labels
A training algorithm for binary feedforward neural networks
Incremental Trainable Parameter Selection in Deep Neural Networks
Two Recurrent Neural Networks With Reduced Model Complexity for Constrained l₁-Norm Optimization
Collaborative Learning and Style-Adaptive Pooling Network for Perceptual Evaluation of Arbitrary Style Transfer
Unsupervised Deep Tensor Network for Hyperspectral-Multispectral Image Fusion
DIET-SNN: A Low-Latency Spiking Neural Network With Direct Input Encoding and Leakage and Threshold Optimization
Just-In-Time Classifiers for Recurrent Concepts
Robust Adaptive Neural Tracking Control for a Class of Stochastic Nonlinear Interconnected Systems
Leader Selection via Supermodular Game for Formation Control in Multiagent Systems
Variance-Constrained State Estimation for Complex Networks With Randomly Varying Topologies
Hopfield net generation, encoding and classification of temporal trajectories
Adaptive multilayer perceptrons with long- and short-term memories
iffDetector: Inference-Aware Feature Filtering for Object Detection
Disentangled Representation Learning for Multiple Attributes Preserving Face Deidentification
Adaptive Neural Network Control of an Uncertain 2-DOF Helicopter With Unknown Backlash-Like Hysteresis and Output Constraints
Design of Hopfield Neural Network Based on DNA Strand Displacement Circuits and Its Application in Sudoku Conjecture
Communication channel equalization using complex-valued minimal radial basis function neural networks
Efficient Multi-View Clustering via Unified and Discrete Bipartite Graph Learning
An Adaptive Black-Box Defense Against Trojan Attacks (TrojDef)
Adaptive Learning-Based $k$ -Nearest Neighbor Classifiers With Resilience to Class Imbalance
Submodular Function Optimization for Motion Clustering and Image Segmentation
CTFNet: Long-Sequence Time-Series Forecasting Based on Convolution and Time-Frequency Analysis
Locality-Constrained Discriminative Matrix Regression for Robust Face Identification
Performance and generalization of the classification figure of merit criterion function
Policy-Iteration-Based Finite-Horizon Approximate Dynamic Programming for Continuous-Time Nonlinear Optimal Control
Probabilistic Attention Based on Gaussian Processes for Deep Multiple Instance Learning
Optimal Tracking in Switched Systems With Free Final Time and Fixed Mode Sequence Using Approximate Dynamic Programming
Haze Removal Using Radial Basis Function Networks for Visibility Restoration Applications
Selecting a restoration technique to minimize OCR error
Is a Complex-Valued Stepsize Advantageous in Complex-Valued Gradient Learning Algorithms?
A Collective Neurodynamic Approach to Distributed Constrained Optimization
ADGAN: Attribute-Driven Generative Adversarial Network for Synthesis and Multiclass Classification of Pulmonary Nodules
Elastic Knowledge Distillation by Learning From Recollection
Extended least squares based algorithm for training feedforward networks
Integrated feature architecture selection
Generalized-Type Multistability of Almost Periodic Solutions for Memristive Cohen-Grossberg Neural Networks
Community Graph Convolution Neural Network for Alzheimer's Disease Classification and Pathogenetic Factors Identification
Decision-Tree-Initialized Dendritic Neuron Model for Fast and Accurate Data Classification
Adaptive Neural Output Feedback Control of Output-Constrained Nonlinear Systems With Unknown Output Nonlinearity
Entropy-based kernel mixture modeling for topographic map formation
Explicit Margin Equilibrium for Few-Shot Object Detection
Continuous-time temporal back-propagation with adaptable time delays
Maxi-Min Margin Machine: Learning Large Margin Classifiers Locally and Globally
Adaptive Dynamic Event-Triggered Distributed Output Observer for Leader-Follower Multiagent Systems Under Directed Graphs
GRASS: Learning Spatial-Temporal Properties From Chainlike Cascade Data for Microscopic Diffusion Prediction
Federated Unlearning: A Survey on Methods, Design Guidelines, and Evaluation Metrics
A constructive algorithm to solve "convex recursive deletion" (CoRD) classification problems via two-layer perceptron networks
Adaptive Transition Probability Matrix Learning for Multiview Spectral Clustering
Effective Surrogate Gradient Learning With High-Order Information Bottleneck for Spike-Based Machine Intelligence
Design and analysis of a nonequilibrium cross-coupled network with a detectable similarity measure
Efficient and robust feature extraction by maximum margin criterion
Stability of Rotor Hopfield Neural Networks With Synchronous Mode
NN2Poly: A Polynomial Representation for Deep Feed-Forward Artificial Neural Networks
Editorial: One Year as EiC, and Editorial-Board Changes at TNN
Large Memory Capacity in Chaotic Artificial Neural Networks: A View of the Anti-Integrable Limit
Fast Convergent Antinoise Dual Neural Network Controller With Adaptive Gain for Flexible Endoscope Robots
Revisiting Tropical Polynomial Division: Theory, Algorithms, and Application to Neural Networks
Motif discoveries in unaligned molecular sequences using self-organizing neural networks
A One-Layer Recurrent Neural Network for Pseudoconvex Optimization Subject to Linear Equality Constraints
Teaching Masked Autoencoder With Strong Augmentations
On encoding and enumerating threshold functions
Stability Analysis of Neural Networks With Time-Varying Delay by Constructing Novel Lyapunov Functionals
A Double-Variational Bayesian Framework in Random Fourier Features for Indefinite Kernels
Variational Bayesian Inference Algorithms for Infinite Relational Model of Network Data
Transfer Dynamic Latent Variable Modeling for Quality Prediction of Multimode Processes
Delay-Dependent Switching Approaches for Stability Analysis of Two Additive Time-Varying Delay Neural Networks
A Parallel Multiclassification Algorithm for Big Data Using an Extreme Learning Machine
The layer-wise method and the backpropagation hybrid approach to learning a feedforward neural network
Feature Pyramid Fusion Network for Hyperspectral Pansharpening
Deep Subspace Clustering
Clustering Aided Weakly Supervised Training to Detect Anomalous Events in Surveillance Videos
Category Alignment Mechanism for Few-Shot Image Classification
Recursion Newton-Like Algorithm for l 2,0 -ReLU Deep Neural Networks
Innovative Second-Generation Wavelets Construction With Recurrent Neural Networks for Solar Radiation Forecasting
Adaptive observer backstepping control using neural networks
An Event-Triggered Pinning Control Approach to Synchronization of Discrete-Time Stochastic Complex Dynamical Networks
Chaotifying linear Elman networks
A Layer-Wise Data Augmentation Strategy for Deep Learning Networks and Its Soft Sensor Application in an Industrial Hydrocracking Process
Solving graph algorithms with networks of spiking neurons
Positive and negative circuits in discrete neural networks
Approximation of nonlinear systems with radial basis function neural networks
Conformal Loss-Controlling Prediction
Neural Network-Based Robust Guaranteed Cost Control for Image-Based Visual Servoing of Quadrotor
Deep Feature Aggregation Framework Driven by Graph Convolutional Network for Scene Classification in Remote Sensing
Stability and Synchronization of Discrete-Time Markovian Jumping Neural Networks With Mixed Mode-Dependent Time Delays
CAME: Content- and Context-Aware Music Embedding for Recommendation
Model-Free Adaptive Optimal Control for Unknown Nonlinear Multiplayer Nonzero-Sum Game
Spatio-Spectral Feature Representation for Motor Imagery Classification Using Convolutional Neural Networks
Decentralized sliding mode adaptive controller design based on fuzzy neural networks for interconnected uncertain nonlinear systems
Asymptotic Tracking of Uncertain Systems With Continuous Control Using Adaptive Bounding
k-Times Markov Sampling for SVMC
An efficient method for computing leave-one-out error in support vector machines with Gaussian kernels
PatchNet: Maximize the Exploration of Congeneric Semantics for Weakly Supervised Semantic Segmentation
Complex-bilinear recurrent neural network for equalization of a digital satellite channel
Accurate Complementarity Learning for Graph-Based Multiview Clustering
Comments on "Complex-bilinear recurrent neural network for equalization of a digital Satellite Channel"
Zeroing Neural Network With Coefficient Functions and Adjustable Parameters for Solving Time-Variant Sylvester Equation
Representation of Imprecision in Deep Neural Networks for Image Classification
Analysis for a class of winner-take-all model
A Local and Global Discriminative Framework and Optimization for Balanced Clustering
Introduction to the special issue on neural networks in financial engineering
Adaptation algorithms for 2-D feedforward neural networks
Signal Propagation: The Framework for Learning and Inference in a Forward Pass
Milne-Hamming Method With Zeroing Neural Network for Time-Varying Nonlinear Optimization and Redundant Manipulator Application
Mode-Dependent Adaptive Event-Triggered Control for Stabilization of Markovian Memristor-Based Reaction-Diffusion Neural Networks
Contrast-Assisted Domain-Specificity-Removal Network for Semi-Supervised Generalization Fault Diagnosis
Finite-Time Stabilizability and Instabilizability of Delayed Memristive Neural Networks With Nonlinear Discontinuous Controller
An equalized error backpropagation algorithm for the on-line training of multilayer perceptrons
Global synchronization for discrete-time stochastic complex networks with randomly occurred nonlinearities and mixed time delays
Fractional-Order Adaptive Fault-Tolerant Synchronization Tracking Control of Networked Fixed-Wing UAVs Against Actuator-Sensor Faults via Intelligent Learning Mechanism
Manifold Interpolation for Large-Scale Multiobjective Optimization via Generative Adversarial Networks
Pivotal-Aware Principal Component Analysis
Self-Weighted Supervised Discriminative Feature Selection
Von Mises-Fisher Elliptical Distribution
Dissimilarity-Preserving Representation Learning for One-Class Time Series Classification
Spectral Graph Convolutional Neural Networks in the Context of Regularization Theory
Nonlinear magnetic storage channel equalization using minimal resource allocation network (MRAN)
Asynchronous Boundary Stabilization of Stochastic Markovian Reaction-Diffusion Neural Networks With Mode-Dependent Delays
Matrix-Weighted Consensus of Second-Order Discrete-Time Multiagent Systems
Guaranteed two-pass convergence for supervised and inferential learning
Domain Adaptation With Self-Supervised Learning and Feature Clustering for Intelligent Fault Diagnosis
Dynamic analysis of a general class of winner-take-all competitive neural networks
An information criterion for optimal neural network selection
Guest Editorial Special Issue on "Neural Networks and Learning Systems Applications in Smart Grid"
Rethinking Adaptive Computing: Building a Unified Model Complexity-Reduction Framework With Adversarial Robustness
An Efficient Sharing Grouped Convolution via Bayesian Learning
Stability Analysis of the Modified Levenberg-Marquardt Algorithm for the Artificial Neural Network Training
Interval Dominance-Based Feature Selection for Interval-Valued Ordered Data
Ensemble-based discriminant learning with boosting for face recognition
Bounded Antisynchronization of Multiple Neural Networks via Multilevel Hybrid Control
Learning Oriented Object Detection via Naive Geometric Computing
Sensitivity of equilibrium points in continuous-time Hopfield's network
Principal Curve Algorithms for Partitioning High-Dimensional Data Spaces
Causal Disentanglement-Based Hidden Markov Model for Cross-Domain Bearing Fault Diagnosis
Analog decoding using a gradient-type neural network
Pruning error minimization in least squares support vector machines
The transversal imager: a photonic neurochip with programmable synaptic weights
Multistability of Delayed Hybrid Impulsive Neural Networks With Application to Associative Memories
ScalableTrack: Scalable One-Stream Tracking via Alternating Learning
ell p -ell q Penalty for Sparse Linear and Sparse Multiple Kernel Multitask Learning
Global Asymptotic Stability of Delayed Cellular Neural Networks
RNN for Perturbed Manipulability Optimization of Manipulators Based on a Distributed Scheme: A Game-Theoretic Perspective
Nonnegative Blind Source Separation for Ill-Conditioned Mixtures via John Ellipsoid
Smart adaptive optic systems using spatial light modulators
Deterministic annealing techniques for a discrete-time neural-network updating in a block-sequential mode
Multiresolution Discriminative Mixup Network for Fine-Grained Visual Categorization
Retrieval-Augmented Few-Shot Medical Image Segmentation With Foundation Models
A Bioinspired Neural Network for Real-Time Concurrent Map Building and Complete Coverage Robot Navigation in Unknown Environments
Adaptive Neural Output-Feedback Control for a Class of Nonlower Triangular Nonlinear Systems With Unmodeled Dynamics
Reinforcement-Learning-Based Dual-Control Methodology for Complex Nonlinear Discrete-Time Systems With Application to Spark Engine EGR Operation
Output Feedback Stabilization for Time-Delay Nonlinear Interconnected Systems Using Neural Networks
Low-Rank Tensor Regularized Views Recovery for Incomplete Multiview Clustering
Optimal Consensus Control for Continuous-Time Linear Multiagent Systems: A Dynamic Event-Triggered Approach
ZS-VAT: Learning Unbiased Attribute Knowledge for Zero-Shot Recognition Through Visual Attribute Transformer
Accelerating Neural ODEs Using Model Order Reduction
Autonomous Cross Domain Adaptation Under Extreme Label Scarcity
Parallel nonlinear optimization techniques for training neural networks
Sparse Alignment for Robust Tensor Learning
Function approximation with spiked random networks
Ordinal Regression With Pinball Loss
Bayesian Hierarchical Graph Neural Networks With Uncertainty Feedback for Trustworthy Fault Diagnosis of Industrial Processes
Multitask GANs for Semantic Segmentation and Depth Completion With Cycle Consistency
The Connection Between Bayesian Estimation of a Gaussian Random Field and RKHS
Learning Compositional Shape Models of Multiple Distance Metrics by Information Projection
Localized Generalization Error Model and Its Application to Architecture Selection for Radial Basis Function Neural Network