yusuke1997/dblp-id-title huggingface dataset:
Adaptive Portfolio Optimization for Multiple Electricity Markets Participation
CDC: A Simple Framework for Complex Data Clustering
Design of Distributed Observers in the Presence of Arbitrarily Large Communication Delays
Context Dependent Encoding Using Convolutional Dynamic Networks
SpaRCe: Improved Learning of Reservoir Computing Systems Through Sparse Representations
Event-Triggered Nonlinear Iterative Learning Control
Two Machine Learning Approaches for Short-Term Wind Speed Time-Series Prediction
Boundary Control of Linear Uncertain 1-D Parabolic PDE Using Approximate Dynamic Programming
Variational Graph Generator for Multiview Graph Clustering
Parameterized Convex Universal Approximators for Decision-Making Problems
State Estimation for Probabilistic Boolean Networks via Outputs Observation
Hierarchical Organ-Aware Total-Body Standard-Dose PET Reconstruction From Low-Dose PET and CT Images
Data-Driven Model-Free Adaptive Control for a Class of MIMO Nonlinear Discrete-Time Systems
Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery
A general regression neural network
A Robust Visual System for Small Target Motion Detection Against Cluttered Moving Backgrounds
Understanding Double Descent Using VC-Theoretical Framework
A neuromime in VLSI
Cluster Synchronization for Interacting Clusters of Nonidentical Nodes via Intermittent Pinning Control
Guest Editorial Special Issue on Artificial Neural Networks and Statistical Pattern Recognition
Graph Fusion Network-Based Multimodal Learning for Freezing of Gait Detection
Rethinking Maximum Mean Discrepancy for Visual Domain Adaptation
Event-Based Adaptive Neural Tracking Control for Discrete-Time Stochastic Nonlinear Systems: A Triggering Threshold Compensation Strategy
An efficient fully unsupervised video object segmentation scheme using an adaptive neural-network classifier architecture
Subband neural networks prediction for on-line audio signal recovery
BrainIB: Interpretable Brain Network-Based Psychiatric Diagnosis With Graph Information Bottleneck
IMORL: Incremental Multiple-Object Recognition and Localization
Fast parallel off-line training of multilayer perceptrons
Event-Based Line Fitting and Segment Detection Using a Neuromorphic Visual Sensor
Few-Shot Image Generation via Style Adaptation and Content Preservation
Finite-element neural networks for solving differential equations
Delay-Variation-Dependent Criteria on Extended Dissipativity for Discrete-Time Neural Networks With Time-Varying Delay
Gaussian Classifier-Based Evolutionary Strategy for Multimodal Optimization
Stimulus-specific oscillations in a retinal model
Prioritized Experience-Based Reinforcement Learning With Human Guidance for Autonomous Driving
Eigenfunction-Based Multitask Learning in a Reproducing Kernel Hilbert Space
A Stochastic Recurrent Encoder Decoder Network for Multistep Probabilistic Wind Power Predictions
Distributed fuzzy learning using the MULTISOFT machine
An Interpretable Adaptive Multiscale Attention Deep Neural Network for Tabular Data
Sequential Independent Component Analysis Density Estimation
Adaptive Semantic-Enhanced Transformer for Image Captioning
Neural Network-Based Information Transfer for Dynamic Optimization
Recurrent Neural Networks With Auxiliary Memory Units
Novel Neural Control for a Class of Uncertain Pure-Feedback Systems
A Novel Accelerated Multistage Learning Control Mechanism via Virtual Performance Reduction
File access prediction using neural networks
Graph-Based Unsupervised Feature Selection for Interval-Valued Information System
Convex Temporal Convolutional Network-Based Distributed Cooperative Learning Control for Multiagent Systems
I²NQ: Inter and Intra Nonuniform Quantization for Single Image Super-Resolution
Fuzzy ARTMAP with input relevances
Gradient Descent-Based Adaptive Learning Control for Autonomous Underwater Vehicles With Unknown Uncertainties
Lower Upper Bound Estimation Method for Construction of Neural Network-Based Prediction Intervals
Real-time classification of rotating shaft loading conditions using artificial neural networks
Clustering Interval and Triangular Granular Data: Modeling, Execution, and Assessment
SVR Learning-Based Spatiotemporal Fuzzy Logic Controller for Nonlinear Spatially Distributed Dynamic Systems
K-MEAP: Multiple Exemplars Affinity Propagation With Specified K Clusters
Event-Triggered ADP for Nonzero-Sum Games of Unknown Nonlinear Systems
Double Confidence Calibration Focused Distillation for Task-Incremental Learning
Dynamic Channel Assignment for Large-Scale Cellular Networks Using Noisy Chaotic Neural Network
Training Winner-Take-All Simultaneous Recurrent Neural Networks
Policy Approximation in Policy Iteration Approximate Dynamic Programming for Discrete-Time Nonlinear Systems
Regularized Simple Multiple Kernel k-Means With Kernel Average Alignment
Neural Assembly Computing
Distributed Energy Trading and Scheduling Among Microgrids via Multiagent Reinforcement Learning
Collocating Clothes With Generative Adversarial Networks Cosupervised by Categories and Attributes: A Multidiscriminator Framework
ICA Color Space for Pattern Recognition
CMFAN: Cross-Modal Feature Alignment Network for Few-Shot Single-View 3D Reconstruction
A Parsimonious Mixture of Gaussian Trees Model for Oversampling in Imbalanced and Multimodal Time-Series Classification
Corrections to "Image Recovery and Segmentation Using Competitive Learning in a Layered Network
Tunnel Prescribed Control of Nonlinear Systems With Unknown Control Directions
A Switched Operation Approach to Sampled-Data Control Stabilization of Fuzzy Memristive Neural Networks With Time-Varying Delay
Asynchronous State Estimation for Discrete-Time Switched Complex Networks With Communication Constraints
Neuroadaptive Fault-Tolerant Control Embedded With Diversified Activating Functions With Application to Auto-Driving Vehicles Under Fading Actuation
Correlated Parameters to Accurately Measure Uncertainty in Deep Neural Networks
The decision-making properties of discrete multiple exponential bidirectional associative memories
Robust Adaptive Embedded Label Propagation With Weight Learning for Inductive Classification
Granular neural networks for numerical-linguistic data fusion and knowledge discovery
Anti-Confounding Hashing: Enhancing Radiological Image Retrieval via Debiased Weighting and Counterfactual Reasoning
A Hopfield network learning method for bipartite subgraph problem
High-Performance Acceleration of 2-D and 3-D CNNs on FPGAs Using Static Block Floating Point
Dimensionality Reduction for Hyperspectral Data Based on Class-Aware Tensor Neighborhood Graph and Patch Alignment
Optimal Tracking Control of Heterogeneous MASs Using Event-Driven Adaptive Observer and Reinforcement Learning
Minimax Optimal Bandits for Heavy Tail Rewards
An Echo State Network Imparts a Curve Fitting
Fast Neuromimetic Object Recognition Using FPGA Outperforms GPU Implementations
A neural-network packet switch controller: scalability, performance, and network optimization
Dissipativity Analysis for Discrete-Time Stochastic Neural Networks With Time-Varying Delays
Design and Analysis of a Self-Adaptive Zeroing Neural Network for Solving Time-Varying Quadratic Programming
Deep Multiscale Detail Networks for Multiband Spectral Image Sharpening
Fine-Grained Learning Behavior-Oriented Knowledge Distillation for Graph Neural Networks
Dynamic re-optimization of a fed-batch fermentor using adaptive critic designs
Neural network for solving extended linear programming problems
Generalized Key-Value Memory to Flexibly Adjust Redundancy in Memory-Augmented Networks
A New Jacobian Matrix for Optimal Learning of Single-Layer Neural Networks
Asynchronous Cellular Automaton-Based Neuron: Theoretical Analysis and On-FPGA Learning
A Fixed-Time Proximal Gradient Neurodynamic Network With Time-Varying Coefficients for Composite Optimization Problems and Sparse Optimization Problems With Log-Sum Function
A Divide-and-Conquer Method for Scalable Robust Multitask Learning
Debiased Graph Neural Networks With Agnostic Label Selection Bias
Improving the capacity of complex-valued neural networks with a modified gradient descent learning rule
An Improved TA-SVM Method Without Matrix Inversion and Its Fast Implementation for Nonstationary Datasets
Adaptive Human-Machine Interactive Behavior Analysis With Wrist-Worn Devices for Password Inference
Universal Neural Network Control of MIMO Uncertain Nonlinear Systems
The growing hierarchical self-organizing map: exploratory analysis of high-dimensional data
Sensitivity Analysis for Probabilistic Neural Network Structure Reduction
Harvesting Ambient RF for Presence Detection Through Deep Learning
A 12-transistor PFM demodulator for analog neural networks communication
Automatic Intermediate Generation With Deep Reinforcement Learning for Robust Two-Exposure Image Fusion
Self-organizing QRS-wave recognition in ECG using neural networks
Batch map extensions of the kernel-based maximum entropy learning rule
Spatial Continuity and Nonequal Importance in Salient Object Detection With Image-Category Supervision
On the Performance of Manhattan Nonnegative Matrix Factorization
HTD-TS 3 : Weakly Supervised Hyperspectral Target Detection Based on Transformer via Spectral-Spatial Similarity
Deep Reinforcement Learning for Integration of Train Trajectory Optimization and Timetable Rescheduling Under Disturbances
An Improved Nonparallel Support Vector Machine
DecouplingNet: A Stable Knowledge Distillation Decoupling Net for Fault Detection of Rotating Machines Under Varying Speeds
HKNAS: Classification of Hyperspectral Imagery Based on Hyper Kernel Neural Architecture Search
Feature Selection Based on the Neighborhood Entropy
Adaptive Dynamic Programming for Discrete-Time Zero-Sum Games
Learning Multimodal Parameters: A Bare-Bones Niching Differential Evolution Approach
Asymptotic distributions associated to Oja's learning equation for neural networks
Probabilistic Keyphrase Generation From Copy and Generating Spaces
Global Synchronization of Multiple Recurrent Neural Networks With Time Delays via Impulsive Interactions
Fast Incomplete Multi-View Clustering With View-Independent Anchors
Producing Stable Periodic Solutions of Switched Impulsive Delayed Neural Networks Using a Matrix-Based Cubic Convex Combination Approach
Existence and global exponential stability of almost periodic solution for cellular neural networks with variable coefficients and time-varying delays
Neural network mechanism for the orientation behavior of sand scorpions towards prey
Data-Driven Inverse Reinforcement Learning Control for Linear Multiplayer Games
Context-Aware Attentive Multilevel Feature Fusion for Named Entity Recognition
Cross-Batch Reference Learning for Deep Retrieval
Intermittent Event-Triggered Optimal Leader-Following Consensus for Nonlinear Multi-Agent Systems Via Actor-Critic Algorithm
Synchronization of General Chaotic Neural Networks With Nonuniform Sampling and Packet Missing: A Switched System Approach
Guest Editorial: Special Issue on Trustworthy Federated Learning
Kernel-Based Multilayer Extreme Learning Machines for Representation Learning
Implementation of parallel thinning algorithms using recurrent neural networks
A modified Hopfield auto-associative memory with improved capacity
Time-Aware Graph Learning for Link Prediction on Temporal Networks
Editorial Special Issue on Explainable and Generalizable Deep Learning for Medical Imaging
Temporal Interpolation of Geostationary Satellite Imagery With Optical Flow
Neural-net inference and content addressable memory
Lightweight and Fast Time-Series Anomaly Detection via Point-Level and Sequence-Level Reconstruction Discrepancy
Efficient Harmonic Neural Networks With Compound Discrete Cosine Transform Filters and Shared Reconstruction Filters
Decoupled Prioritized Resampling for Offline RL
Bayesian Estimation of Inverted Beta Mixture Models With Extended Stochastic Variational Inference for Positive Vector Classification
Fast Modular network implementation for support vector machines
Compound Learning-Based Model Predictive Control Approach for Ducted-Fan Aerial Vehicles
Multicategory nets of single-layer perceptrons: complexity and sample-size issues
Human-in-the-Loop Behavior Modeling via an Integral Concurrent Adaptive Inverse Reinforcement Learning
Incremental Local Distribution-Based Clustering Using Bayesian Adaptive Resonance Theory
Self-Organizing CMAC Control for a Class of MIMO Uncertain Nonlinear Systems
Robust Unsupervised Video Anomaly Detection by Multipath Frame Prediction
Information processing with fuzzy logic-Piero Bonissone
Large Margin Gaussian Mixture Classifier With a Gabriel Graph Geometric Representation of Data Set Structure
Robustness Analysis of Global Exponential Stability of Recurrent Neural Networks in the Presence of Time Delays and Random Disturbances
Robustness to Training Disturbances in SpikeProp Learning
Model-Free Optimal Tracking Control of Nonlinear Input-Affine Discrete-Time Systems via an Iterative Deterministic Q-Learning Algorithm
Toward Cognitive Navigation: Design and Implementation of a Biologically Inspired Head Direction Cell Network
An efficient constrained training algorithm for feedforward networks
Discrete-Time Neural Network for Fast Solving Large Linear L 1 Estimation Problems and its Application to Image Restoration
A Low-Power Current Mode Fuzzy-ART Cell
Toward Efficient Target-Level Machine Unlearning Based on Essential Graph
Learning Deep Generative Models With Doubly Stochastic Gradient MCMC
Input-output HMMs for sequence processing
Ensemble Clustering via Co-Association Matrix Self-Enhancement
Nonlinear blind source separation using kernels
Face recognition: a convolutional neural-network approach
Automated learning for reducing the configuration of a feedforward neural network
A New Automatic Parameter Setting Method of a Simplified PCNN for Image Segmentation
Adaptive Exponential Synchronization of Complex Networks With Nondifferentiable Time-Varying Delay
Lifelong Generative Adversarial Autoencoder
Existence and learning of oscillations in recurrent neural networks
Correntropy-Based Low-Rank Matrix Factorization With Constraint Graph Learning for Image Clustering
A self-organizing HCMAC neural-network classifier
A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI
Stochastic choice of basis functions in adaptive function approximation and the functional-link net
CED: A Distance for Complex Mass Functions
Hierarchical Multiagent Reinforcement Learning for Allocating Guaranteed Display Ads
Comprehensive Review of Neural Network-Based Prediction Intervals and New Advances
Analysis and design of a k-winners-take-all model with a single state variable and the heaviside step activation function
Nonparametric Dimension Reduction via Maximizing Pairwise Separation Probability
Learning Visual Affordance Grounding From Demonstration Videos
Collective Decision of One-vs-Rest Networks for Open-Set Recognition
A Novel Concept Drift Detection Method for Incremental Learning in Nonstationary Environments
An analog CMOS chip set for neural networks with arbitrary topologies
Reconstructed Graph Neural Network With Knowledge Distillation for Lightweight Anomaly Detection
Class-Variant Margin Normalized Softmax Loss for Deep Face Recognition
Stopped Object Detection by Learning Foreground Model in Videos
Heterogeneous Domain Adaptation With Generalized Similarity and Dissimilarity Regularization
Measure fields for function approximation
A Componentwise Approach to Weakly Supervised Semantic Segmentation Using Dual-Feedback Network
The influence of oppositely classified examples on the generalization complexity of Boolean functions
Smooth-Guided Implicit Data Augmentation for Domain Generalization
Deep Double Incomplete Multi-View Multi-Label Learning With Incomplete Labels and Missing Views
Semiglobal ISpS Disturbance Attenuation With Output Tracking via Direct Adaptive Design
Fast Sparse Approximation for Least Squares Support Vector Machine
Contrastive Learning Framework With Cross-Sensor Adaptive Signal Representation for Fault Diagnosis
Supervised Discrete Hashing With Relaxation
A Convex Geometry-Based Blind Source Separation Method for Separating Nonnegative Sources
Convolutional Sparse Support Estimator-Based COVID-19 Recognition From X-Ray Images
Dynamical system for computing the eigenvectors associated with the largest eigenvalue of a positive definite matrix
Duality-Gated Mutual Condition Network for RGBT Tracking
Incremental communication for multilayer neural networks
Label Distribution Learning by Partitioning Label Distribution Manifold
A 2 P-MANN: Adaptive Attention Inference Hops Pruned Memory-Augmented Neural Networks
Temperature regulation with neural networks and alternative control schemes
Image Categorization by Learning a Propagated Graphlet Path
Learning Aligned Vertex Convolutional Networks for Graph Classification
Fixed-Time Adaptive Neural Network Control for Nonlinear Systems With Input Saturation
Nash Equilibrium Seeking Algorithm Design for Distributed Nonsmooth Multicluster Games Over Weight-Balanced Digraphs
Application of the ANNA neural network chip to high-speed character recognition
Decentralized H 2 Control for Discrete-Time Networked Systems With Positivity Constraint
Event-Triggered Distributed Data-Driven Iterative Learning Bipartite Formation Control for Unknown Nonlinear Multiagent Systems
Data Mining Methods for Knowledge Discovery
Generating Highly Accurate Predictions for Missing QoS Data via Aggregating Nonnegative Latent Factor Models
Topology constraint free fuzzy gated neural networks for pattern recognition
Disentanglement of Prosody Representations via Diffusion Models and Scheduled Gradient Reversal
From Discriminant to Complete: Reinforcement Searching-Agent Learning for Weakly Supervised Object Detection
A One-Class Kernel Fisher Criterion for Outlier Detection
Semi-supervised Domain Adaptation on Manifolds
Sparse Coding on Symmetric Positive Definite Manifolds Using Bregman Divergences
A Novel Two-Stage Generation Framework for Promoting the Persona-Consistency and Diversity of Responses in Neural Dialog Systems
Novel Layered Clustering-Based Approach for Generating Ensemble of Classifiers
A Particle Swarm Optimization-Based Flexible Convolutional Autoencoder for Image Classification
Zero-Shot Learning via Structure-Aligned Generative Adversarial Network
Memory Recall: A Simple Neural Network Training Framework Against Catastrophic Forgetting
An analog neural network implementation in fixed time of adjustable-order statistic filters and applications
Global exponential stability and global convergence in finite time of delayed neural networks with infinite gain
Adaptive Fault-Tolerant Synchronization Control of a Class of Complex Dynamical Networks With General Input Distribution Matrices and Actuator Faults
Sparseness Analysis in the Pretraining of Deep Neural Networks
On the Universality of Axon P Systems
L-VSM: Label-Driven View-Specific Fusion for Multiview Multilabel Classification
Resisting Noise in Pseudo Labels: Audible Video Event Parsing With Evidential Learning
LSVC: A Lifelong Learning Approach for Stream-View Clustering
Who Should I Engage With at What Time? A Missing Event-Aware Temporal Graph Neural Network
Temporal Self-Organization: A Reaction-Diffusion Framework for Spatiotemporal Memories
The FastICA Algorithm Revisited: Convergence Analysis
Fast-Convergent Double-Sigmoid Hopfield Neural Network as Applied to Optimization Problems
Unified Framework for Faster Clustering via Joint Schatten p-Norm Factorization With Optimal Mean
Safety-Critical Containment Maneuvering of Underactuated Autonomous Surface Vehicles Based on Neurodynamic Optimization With Control Barrier Functions
Relation-Aware Fine-Grained Reasoning Network for Textbook Question Answering
Lazy-Learning-Based Data-Driven Model-Free Adaptive Predictive Control for a Class of Discrete-Time Nonlinear Systems
Federated Learning for Data Trading Portfolio Allocation With Autonomous Economic Agents
Second-Order Global Consensus in Multiagent Networks With Random Directional Link Failure
Cooperative Adaptive Output Regulation for Second-Order Nonlinear Multiagent Systems With Jointly Connected Switching Networks
Deep Neural Message Passing With Hierarchical Layer Aggregation and Neighbor Normalization
An improved recurrent neural network for M-PAM symbol detection
LMI approach for stationary oscillation of interval neural networks with discrete and distributed time-varying delays under impulsive perturbations
A new neural network for solving linear programming problems and its application
New Varying-Parameter ZNN Models With Finite-Time Convergence and Noise Suppression for Time-Varying Matrix Moore-Penrose Inversion
The best approximation to C 2 functions and its error bounds using regular-center Gaussian networks
Online Sparse Representation Clustering for Evolving Data Streams
Asynchronous Event-Based Binocular Stereo Matching
Surfer: A World Model-Based Framework for Vision-Language Robot Manipulation
A Semisupervised Classification Approach for Multidomain Networks With Domain Selection
Implementation of a new neurochip using stochastic logic
Decentralized Global Optimization Based on a Growth Transform Dynamical System Model
Training of a feedforward multiple-valued neural network by error backpropagation with a multilevel threshold function
Mesh Convolutional Restricted Boltzmann Machines for Unsupervised Learning of Features With Structure Preservation on 3-D Meshes
Local and Global Stability Analysis of an Unsupervised Competitive Neural Network
Take Your Pick: Enabling Effective Distributed Learning Within Low-Dimensional Feature Space
A Novel Empirical Mode Decomposition With Support Vector Regression for Wind Speed Forecasting
SAAF: Self-Adaptive Attention Factor-Based Taylor-Pruning on Convolutional Neural Networks
Synthesis of Brain-State-in-a-Box (BSB) based associative memories
Interactive Prognosis Framework Between Deep Learning and a Stochastic Process Model for Remaining Useful Life Prediction
Full Point Encoding for Local Feature Aggregation in 3-D Point Clouds
An analysis of globally connected active rotators with excitatory and inhibitory connections having different time constants using the nonlinear Fokker-Planck equations
Robust One-Class Kernel Spectral Regression
The convergence properties of a clipped Hopfield network and its application in the design of keystream generator
Semi-Supervised Multiview Feature Selection With Adaptive Graph Learning
Multiview Subspace Dual Clustering
Deep Convolutional Identifier for Dynamic Modeling and Adaptive Control of Unmanned Helicopter
Distributed Economic Dispatch in Microgrids Based on Cooperative Reinforcement Learning
Valid RBFNN Adaptive Control for Nonlinear Systems With Unmatched Uncertainties
Nonlinear kernel-based statistical pattern analysis
Training Radial Basis Function Neural Networks for Classification via Class-Specific Clustering
Distilling Reasoning Ability From Large Language Models With Adaptive Thinking
RSS-Bagging: Improving Generalization Through the Fisher Information of Training Data
A note on the complexity of reliability in neural networks
Distributed Online Learning With Multiple Kernels
Nonlinear Feature Selection Neural Network via Structured Sparse Regularization
Quantum Ensemble Classification: A Sampling-Based Learning Control Approach
SVRG-MKL: A Fast and Scalable Multiple Kernel Learning Solution for Features Combination in Multi-Class Classification Problems
On performance evaluation in online approximation for control
Mean field annealing: a formalism for constructing GNC-like algorithms
Identifying Visible Parts via Pose Estimation for Occluded Person Re-Identification
Centroidal Clustering of Noisy Observations by Using th Power Distortion Measures
A Proximal Neurodynamic Network With Fixed-Time Convergence for Equilibrium Problems and Its Applications
Learning and adaptation in an airborne laser fire controller
A Constrained Optimization Approach to Preserving Prior Knowledge During Incremental Training
SIN: Semantic Inference Network for Few-Shot Streaming Label Learning
Projected Neural Network for a Class of Non-Lipschitz Optimization Problems With Linear Constraints