yusuke1997/dblp-id-title huggingface dataset:
A Time Wave Neural Network Framework for Solving Time-Dependent Project Scheduling Problems
Moment-Based Reinforcement Learning for Ensemble Control
Control of nonlinear dynamical systems using neural networks: controllability and stabilization
Scatter Balance: An Angle-Based Supervised Dimensionality Reduction
Coupled principal component analysis
A Hybrid Data Preprocessing-Based Hierarchical Attention BiLSTM Network for Remaining Useful Life Prediction of Spacecraft Lithium-Ion Batteries
Neural networks-then and now
SEFRON: A New Spiking Neuron Model With Time-Varying Synaptic Efficacy Function for Pattern Classification
Class-Consistent Matching Attention Wavelet Networks for Partial Transfer Intelligent Diagnosis
Multiple Instance Learning for Multiple Diverse Hyperspectral Target Characterizations
Progressive Decision Boundary Shifting for Unsupervised Domain Adaptation
A Binaural Neuromorphic Auditory Sensor for FPGA: A Spike Signal Processing Approach
Multinetwork Collaborative Feature Learning for Semisupervised Person Reidentification
Parameter Optimization and Learning in a Spiking Neural Network for UAV Obstacle Avoidance Targeting Neuromorphic Processors
Typicality-Aware Adaptive Similarity Matrix for Unsupervised Learning
Comments on "Pruning Error Minimization in Least Squares Support Vector Machines"
Growing subspace pattern recognition methods and their neural-network models
Semi-Supervised Mixture Learning for Graph Neural Networks With Neighbor Dependence
Eye-LRCN: A Long-Term Recurrent Convolutional Network for Eye Blink Completeness Detection
Efficient Linear Discriminant Analysis Based on Randomized Low-Rank Approaches
A Unified Learning Framework for Single Image Super-Resolution
Qualitative analysis of a recurrent neural network for nonlinear continuously differentiable convex minimization over a nonempty closed convex subset
Mesh Convolution With Continuous Filters for 3-D Surface Parsing
Gradient radial basis function networks for nonlinear and nonstationary time series prediction
Expected Policy Gradient for Network Aggregative Markov Games in Continuous Space
Transductive Semisupervised Deep Hashing
BCAN: Bidirectional Correct Attention Network for Cross-Modal Retrieval
Toward Building Human-Like Sequential Memory Using Brain-Inspired Spiking Neural Models
Hyperparameter Selection for Gaussian Process One-Class Classification
Incremental backpropagation learning networks
Evidence aggregation networks for fuzzy logic inference
Comparison of Seven Methods for Boolean Factor Analysis and Their Evaluation by Information Gain
Identification of a specific limitation on local-feedback recurrent networks acting as Mealy-Moore machines
MBUNeXt: Multibranch Encoder Aggregation Network Based on Layer-Fusion Strategy for Multimodal Brain Tumor Segmentation
Optimization for training neural nets
Representation Learning Based on Co-Evolutionary Combined With Probability Distribution Optimization for Precise Defect Location
Deep Reinforcement Learning With Modulated Hebbian Plus Q-Network Architecture
You Never Walk Alone: A Generalizable and Nonparametric Structure Learning Framework
A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects
Multihop Reconstruction for Generalized Zero-Shot Node Classification
Extending the functional equivalence of radial basis function networks and fuzzy inference systems
Exponential synchronization of hybrid coupled networks with delayed coupling
Partial Logistic Artificial Neural Network for Competing Risks Regularized With Automatic Relevance Determination
An Improved Neural Network Model for the Two-Page Crossing Number Problem
Asymptotic Tracking Control for Uncertain MIMO Systems: A Biologically Inspired ESN Approach
Regular Polytope Networks
Recursive processing of cyclic graphs
INNAbstract: An INN-Based Abstraction Method for Large-Scale Neural Network Verification
Path Following Control for Unmanned Surface Vehicles: A Reinforcement Learning-Based Method With Experimental Validation
Improved Sliding Mode Control for Finite-Time Synchronization of Nonidentical Delayed Recurrent Neural Networks
Continuation Multiple Instance Learning for Weakly and Fully Supervised Object Detection
Supplementary Control for Quantized Discrete-Time Nonlinear Systems Under Goal Representation Heuristic Dynamic Programming
A model-based fault-detection and prediction scheme for nonlinear multivariable discrete-time systems with asymptotic stability guarantees
An Evidential Multi-Target Domain Adaptation Method Based on Weighted Fusion for Cross-Domain Pattern Classification
Spatio-Temporal Point Process for Multiple Object Tracking
Control of Large-Scale Boolean Networks via Network Aggregation
A Recurrent Neural Network Approach for Constrained Distributed Fuzzy Convex Optimization
Near-Optimal Controller for Nonlinear Continuous-Time Systems With Unknown Dynamics Using Policy Iteration
RBF principal manifolds for process monitoring
SacFL: Self-Adaptive Federated Continual Learning for Resource-Constrained End Devices
Ensemble Feature Selection With Block-Regularized m × 2 Cross-Validation
Counterfactual Explanation Through Latent Adjustment in Disentangled Space of Diffusion Model
Pareto-Path Multitask Multiple Kernel Learning
Safe Reinforcement Learning via a Model-Free Safety Certifier
Fully Distributed Event/Self-Triggered Bipartite Output Formation-Containment Tracking Control for Heterogeneous Multiagent Systems
A new method for complete stability analysis of cellular neural networks with time delay
Linear-Time Subspace Clustering via Bipartite Graph Modeling
LAGC: Lazily Aggregated Gradient Coding for Straggler-Tolerant and Communication-Efficient Distributed Learning
Empirical results of using back-propagation neural networks to separate single echoes from multiple echoes
An analog CMOS central pattern generator for interlimb coordination in quadruped locomotion
Embedded Feature Ranking for Ensemble MLP Classifiers
A White-Box Equivalent Neural Network Circuit Model for SoC Estimation of Electrochemical Cells
Temporal codes and computations for sensory representation and scene analysis
InitialGAN: A Language GAN With Completely Random Initialization
Few-Shot Learning With Geometric Constraints
Digit-Serial DA-Based Fixed-Point RNNs: A Unified Approach for Enhancing Architectural Efficiency
Few-Shot Relation Extraction With Automatically Generated Prompts
On neurobiological, neuro-fuzzy, machine learning, and statistical pattern recognition techniques
Off-Policy Integral Reinforcement Learning Method to Solve Nonlinear Continuous-Time Multiplayer Nonzero-Sum Games
Neural Networks And Hybrid Intelligent Models: Foundations, Theory, And Applications
Model-Based Event-Triggered Tracking Control of Underactuated Surface Vessels With Minimum Learning Parameters
Toward a general-purpose analog VLSI neural network with on-chip learning
Neuromorphic Time-Multiplexed Reservoir Computing With On-the-Fly Weight Generation for Edge Devices
DER-GCN: Dialog and Event Relation-Aware Graph Convolutional Neural Network for Multimodal Dialog Emotion Recognition
Mode-Dependent Stochastic Synchronization for Markovian Coupled Neural Networks With Time-Varying Mode-Delays
Hierarchical and Stable Multiagent Reinforcement Learning for Cooperative Navigation Control
IFL-GAN: Improved Federated Learning Generative Adversarial Network With Maximum Mean Discrepancy Model Aggregation
Data-Driven Bipartite Formation for a Class of Nonlinear MIMO Multiagent Systems
An Optimized Uncertainty-Aware Training Framework for Neural Networks
Robust Multi-Agent Reinforcement Learning by Mutual Information Regularization
Neural-Network-Based Distributed Asynchronous Event-Triggered Consensus Tracking of a Class of Uncertain Nonlinear Multi-Agent Systems
Non-IID Federated Learning With Sharper Risk Bound
Regularizing Deep Neural Networks by Enhancing Diversity in Feature Extraction
AN-GCN: An Anonymous Graph Convolutional Network Against Edge-Perturbing Attacks
Structured Neural Decoding With Multitask Transfer Learning of Deep Neural Network Representations
Convergence Analysis of Single Latent Factor-Dependent, Nonnegative, and Multiplicative Update-Based Nonnegative Latent Factor Models
Learning Accurate Label-Specific Features From Partially Multilabeled Data
NeRP: Implicit Neural Representation Learning With Prior Embedding for Sparsely Sampled Image Reconstruction
A bootstrap evaluation of the effect of data splitting on financial time series
EEG-Based Learning System for Online Motion Sickness Level Estimation in a Dynamic Vehicle Environment
Multistability of recurrent neural networks with time-varying delays and the piecewise linear activation function
Generalization Performance of Radial Basis Function Networks
Deep Subdomain Learning Adaptation Network: A Sensor Fault-Tolerant Soft Sensor for Industrial Processes
Stability Analysis for Delayed Neural Networks via a Generalized Reciprocally Convex Inequality
A common neural-network model for unsupervised exploratory data analysis and independent component analysis
How Frequency Injection Locking Can Train Oscillatory Neural Networks to Compute in Phase
SGD-Based Adaptive NN Control Design for Uncertain Nonlinear Systems
Event-Triggered Synchronization for Neutral-Type Semi-Markovian Neural Networks With Partial Mode-Dependent Time-Varying Delays
An Adaptation-Aware Interactive Learning Approach for Multiple Operational Condition-Based Degradation Modeling
SortNet: Learning to Rank by a Neural Preference Function
Image-Specific Information Suppression and Implicit Local Alignment for Text-Based Person Search
Looking Closer at the Scene: Multiscale Representation Learning for Remote Sensing Image Scene Classification
Deriving sufficient conditions for global asymptotic stability of delayed neural networks via nonsmooth analysis-II
Morphological shared-weight networks with applications to automatic target recognition
A Simple Scheme for Formation Control Based on Weighted Behavior Learning
Hierarchical Context-Based Emotion Recognition With Scene Graphs
A net with complex weights
A Hybrid Recursive Implementation of Broad Learning With Incremental Features
Neural-network front ends in unsupervised learning
Visual Reinforcement Learning Control With Instance-Reweighted Alignment and Instance-Dimension Uniformity
Probabilistic Knowledge Transfer for Lightweight Deep Representation Learning
Marginalized neural network mixtures for large-scale regression
Effective Discriminative Feature Selection With Nontrivial Solution
AlphaSeq: Sequence Discovery With Deep Reinforcement Learning
Data-Driven Robust Approximate Optimal Tracking Control for Unknown General Nonlinear Systems Using Adaptive Dynamic Programming Method
A Gradient-Guided Evolutionary Approach to Training Deep Neural Networks
Cooperative Online Learning for Multiagent System Control via Gaussian Processes With Event-Triggered Mechanism
ViSOM - a novel method for multivariate data projection and structure visualization
Harmonic Fast One-Step Cut: An Efficient Strategy for Spectral Clustering Optimization
A Novel Fusion and Feature Selection Framework for Multisource Time-Series Data Based on Information Entropy
A multiexpert framework for character recognition: a novel application of Clifford networks
Co-Learning Non-Negative Correlated and Uncorrelated Features for Multi-View Data
Classifiability-based omnivariate decision trees
Segmented Generative Networks: Data Generation in the Uniform Probability Space
K-winner machines for pattern classification
Dynamic Ensemble Selection for Imbalanced Data Streams With Concept Drift
Cascade neural network for binary mapping
Query-based learning for aerospace applications
Sequential information processing using time-delay connections in ontogenic CALM networks
Robust Estimation for Neural Networks With Randomly Occurring Distributed Delays and Markovian Jump Coupling
Experiments on the application of IOHMMs to model financial returns series
Learning neural networks with noisy inputs using the errors-in-variables approach
Spatiotemporal Memories for Missing Samples Reconstruction
Neural Network Adaptive Control for a Class of Nonlinear Uncertain Dynamical Systems With Asymptotic Stability Guarantees
A compact 3D VLSI classifier using bagging threshold network ensembles
An Annealing Mechanism for Adversarial Training Acceleration
Gen-GraphEx: Generative In-Distribution Graph Explanations for Time-Efficient Model-Level Interpretability of GNNs
Mask Dynamic Routing to Combined Model of Deep Capsule Network and U-Net
Robust and Sparse Principal Component Analysis With Adaptive Loss Minimization for Feature Selection
An approximate internal model-based neural control for unknown nonlinear discrete processes
Sampled-Data Exponential Synchronization of Complex Dynamical Networks With Time-Varying Coupling Delay
L-BGNN: Layerwise Trained Bipartite Graph Neural Networks
Improvements to the SMO algorithm for SVM regression
Multisource Heterogeneous Domain Adaptation With Conditional Weighting Adversarial Network
Low Latency Conversion of Artificial Neural Network Models to Rate-Encoded Spiking Neural Networks
Time delays and stimulus-dependent pattern formation in periodic environments in isolated neurons
Unified Analysis on the Global Dissipativity and Stability of Fractional-Order Multidimension-Valued Memristive Neural Networks With Time Delay
Redundancy and Attention in Convolutional LSTM for Gesture Recognition
Modeling and inverse controller design for an unmanned aerial vehicle based on the self-organizing map
Robust Kernel Low-Rank Representation
Event-Triggered Exponential Synchronization of the Switched Neural Networks With Frequent Asynchronism
Visualization Methods for Image Transformation Convolutional Neural Networks
Enhancing Few-Shot CLIP With Semantic-Aware Fine-Tuning
Author's Reply And Revision For Time-varying Weights
A stable neural network-based observer with application to flexible-joint manipulators
A Model-Driven Deep Unfolding Method for JPEG Artifacts Removal
Brain-Inspired Wireless Communications: Where Reservoir Computing Meets MIMO-OFDM
Neuromorphic Camera Denoising Using Graph Neural Network-Driven Transformers
Monitoring the Formation of Kernel-Based Topographic Maps in a Hybrid SOM-kMER Model
Deep Model Compression and Inference Speedup of Sum-Product Networks on Tensor Trains
Adaptive Critic Learning-Based Optimal Bipartite Consensus for Multiagent Systems With Prescribed Performance
Separating Noisy Samples From Tail Classes for Long-Tailed Image Classification With Label Noise
Late Fusion Multiple Kernel Clustering With Proxy Graph Refinement
On the Rates of Convergence From Surrogate Risk Minimizers to the Bayes Optimal Classifier
Image Enhancement Guided Object Detection in Visually Degraded Scenes
Neuroadaptive Output Formation Tracking for Heterogeneous Nonlinear Multiagent Systems With Multiple Nonidentical Leaders
Safe Adaptive Policy Transfer Reinforcement Learning for Distributed Multiagent Control
LANN-SVD: A Non-Iterative SVD-Based Learning Algorithm for One-Layer Neural Networks
A Complex-Former Tracker With Dynamic Polar Spatio-Temporal Encoding
Application of neural networks to software quality modeling of a very large telecommunications system
Neural Inference Search for Multiloss Segmentation Models
Semi-Supervised Multimodal Representation Learning Through a Global Workspace
Motion segmentation based on motion/brightness integration and oscillatory correlation
CEModule: A Computation Efficient Module for Lightweight Convolutional Neural Networks
Norest-Net: Normal Estimation Neural Network for 3-D Noisy Point Clouds
Quality Relevant Data-Driven Modeling and Monitoring of Multivariate Dynamic Processes: The Dynamic T-PLS Approach
Can Graph Neural Networks Tackle Heterophily? Yes, With a Label-Guided Graph Rewiring Approach!
Output-Feedback Adaptive Neural Controller for Uncertain Pure-Feedback Nonlinear Systems Using a High-Order Sliding Mode Observer
Multicomponent Adversarial Domain Adaptation: A General Framework
Property-Constrained Dual Learning for Video Summarization
An Adaptive Neighborhood-Resonated Graph Convolution Network for Undirected Weighted Graph Representation
Adaptive Modular Neural Control for Online Gait Synchronization and Adaptation of an Assistive Lower-Limb Exoskeleton
Nonlinear Dimensionality Reduction by Locally Linear Inlaying
A Taxonomy for Neural Memory Networks
Ranking Graph Embedding for Learning to Rerank
A Stack-Propagation Framework With Slot Filling for Multi-Domain Dialogue State Tracking
Performance evaluation of a sequential minimal radial basis function (RBF) neural network learning algorithm
Temporal Encoding and Multispike Learning Framework for Efficient Recognition of Visual Patterns
Learning to Coordinate With Different Teammates via Team Probing
Low Latency and Sparse Computing Spiking Neural Networks With Self-Driven Adaptive Threshold Plasticity
Learning of Long-Horizon Sparse-Reward Robotic Manipulator Tasks With Base Controllers
Guest Editorial Overview Of Pulse Coupled Neural Network (PCNN) Special Issue
Adaptive NN Control of a Class of Nonlinear Systems With Asymmetric Saturation Actuators
A neuro-genetic controller for nonminimum phase systems
Maximum Entropy Discrimination Poisson Regression for Software Reliability Modeling
Feedforward Neural Network Implementation in FPGA Using Layer Multiplexing for Effective Resource Utilization
The effect of concave and convex weight adjustments on self-organizing maps
Precise Measurement of Position and Attitude Based on Convolutional Neural Network and Visual Correspondence Relationship
A Novel Algorithm for Learning Sparse Spatio-Spectral Patterns for Event-Related Potentials
Model Order Reduction Based on Agglomerative Hierarchical Clustering
Neural Feedback Passivity of Unknown Nonlinear Systems via Sliding Mode Technique
A Dynamic Parameter Noise-Tolerant Zeroing Neural Network for Time-Varying Quaternion Matrix Equation With Applications
CVaR-Constrained Policy Optimization for Safe Reinforcement Learning
HIN-RNN: A Graph Representation Learning Neural Network for Fraudster Group Detection With No Handcrafted Features
Near-Optimal Algorithms for Instance-Level Constrained k-Center Clustering
Spectral Embedded Adaptive Neighbors Clustering
Optimizing Attention for Sequence Modeling via Reinforcement Learning
A Separation-Based Methodology to Consensus Tracking of Switched High-Order Nonlinear Multiagent Systems
Comprehensive Multiview Representation Learning via Deep Autoencoder-Like Nonnegative Matrix Factorization
REMI: Few-Shot ISAR Target Classification Via Robust Embedding and Manifold Inference
Dynamic Collaborative Tracking
Neural Network Model-Based Control for Manipulator: An Autoencoder Perspective
Continuous Model Adaptation Using Online Meta-Learning for Smart Grid Application
Use of a quasi-Newton method in a feedforward neural network construction algorithm
Curvature-driven smoothing: a learning algorithm for feedforward networks
NullHop: A Flexible Convolutional Neural Network Accelerator Based on Sparse Representations of Feature Maps
Discriminative Deep Canonical Correlation Analysis for Multi-View Data
Global asymptotic stability of reaction-diffusion Cohen-Grossberg neural networks with continuously distributed delays
Generalized Multiple Kernel Learning With Data-Dependent Priors
Relative loss bounds for single neurons
Dynamic Speech Models - Theory, Algorithms, and Applications
Synchronous Fault-Tolerant Near-Optimal Control for Discrete-Time Nonlinear PE Game
Analysis and Control of Output Synchronization in Directed and Undirected Complex Dynamical Networks
Tree Ensembles on the Induced Discrete Space
Trajectory priming with dynamic fuzzy networks in nonlinear optimal control
Recognition of Abstract Objects Via Neural Oscillators: Interaction Among Topological Organization, Associative Memory and Gamma Band Synchronization
Associative Memory Design Using Support Vector Machines
Bidirectional Probabilistic Subspaces Approximation for Multiview Clustering
Domain Neural Adaptation
A biologically-inspired improved MAXNET
EviD-GAN: Improving GAN With an Infinite Set of Discriminators at Negligible Cost
Integration-Enhanced Zhang Neural Network for Real-Time-Varying Matrix Inversion in the Presence of Various Kinds of Noises
A dual neural network for redundancy resolution of kinematically redundant manipulators subject to joint limits and joint velocity limits
Distributed Dynamic Task Allocation for Moving Target Tracking of Networked Mobile Robots Using k-WTA Network
Knowledge Graph Alignment Under Scarce Supervision: A General Framework With Active Cross-View Contrastive Learning
Conversation-Based Adaptive Relational Translation Method for Next POI Recommendation With Uncertain Check-Ins
Learning Context-Based Nonlocal Entropy Modeling for Image Compression
Learning With Jensen-Tsallis Kernels
Synchronization and desynchronization in a network of locally coupled Wilson-Cowan oscillators
Output feedback control of a class of discrete MIMO nonlinear systems with triangular form inputs
Multiclass relevance vector machines: sparsity and accuracy
Highly constrained neural networks for industrial quality control
RecSys-DAN: Discriminative Adversarial Networks for Cross-Domain Recommender Systems
GopGAN: Gradients Orthogonal Projection Generative Adversarial Network With Continual Learning
Dynamics-Adaptive Continual Reinforcement Learning via Progressive Contextualization
Theoretical Study of Oscillator Neurons in Recurrent Neural Networks
Adaptive Interleaved Reinforcement Learning: Robust Stability of Affine Nonlinear Systems With Unknown Uncertainty
On the capability of accommodating new classes within probabilistic neural networks
Self-Organizing Adaptive Fuzzy Neural Control for a Class of Nonlinear Systems
Reinforcement Learning Output Feedback NN Control Using Deterministic Learning Technique
A model selection algorithm for a posteriori probability estimation with neural networks
PlaneSeg: Building a Plug-In for Boosting Planar Region Segmentation
Product Recognition for Unmanned Vending Machines
Learning Self-Corrective Network via Adaptive Self-Labeling and Dynamic NMS for High-Performance Long-Term Tracking
BYY harmony learning, independent state space, and generalized APT financial analyses
Learning Deep Hierarchical Visual Feature Coding
Geometric neural computing
Corrections to "Reinforcement Learning for an ART-Based Fuzzy Adaptive Learning Control Network"
Multivariate Time Series Prediction Based on Temporal Change Information Learning Method
A Discrete-Time Event-Driven Near-Optimal Second-Order SMC for Multirobotic System Formation Prone to Network Uncertainties
Integrating Convolution and Sparse Coding for Learning Low-Dimensional Discriminative Image Representations
Guest Editorial: Special Issue on Deep Learning for Intelligent Media Computing and Applications
Learning in the combinatorial neural model
Strong Anti-Hebbian Plasticity Alters the Convexity of Network Attractor Landscapes
Knowledge-Reinforced Cross-Domain Recommendation
The Wisdom of the Crowd: Reliable Deep Reinforcement Learning Through Ensembles of Q-Functions
Sufficient condition for convergence of a relaxation algorithm in actual single-layer neural networks
Speeding Up Cellular Neural Network Processing Ability by Embodying Memristors
Learning Deep Blind Quality Assessment for Cartoon Images
Toward Subgraph-Guided Knowledge Graph Question Generation With Graph Neural Networks
All-Passive Hardware Implementation of Multilayer Perceptron Classifiers
Matrix Measure-Based Event-Triggered Impulsive Quasi-Synchronization on Coupled Neural Networks
A general weight matrix formulation using optimal control
Sparse Representation Classifier Steered Discriminative Projection With Applications to Face Recognition
SDSimPoint: Shallow-Deep Similarity Learning for Few-Shot Point Cloud Semantic Segmentation
Markov Subsampling Based on Huber Criterion
High-capacity Hebbian storage by sparse sampling
Stability and Bifurcation Exploration of Delayed Neural Networks With Radial-Ring Configuration and Bidirectional Coupling
Robust Mesh Representation Learning via Efficient Local Structure-Aware Anisotropic Convolution
Net Learning