yusuke1997/dblp-id-title huggingface dataset:
Coarse-to-Fine Learning for Single-Image Super-Resolution
Multiview Orthonormalized Partial Least Squares: Regularizations and Deep Extensions
Efficient Computation Reduction in Bayesian Neural Networks Through Feature Decomposition and Memorization
Achieving Sharp Upper Bounds on the Expressive Power of Neural Networks via Tropical Polynomials
Neural networks with multidimensional transfer functions
Optimal Control for Constrained Discrete-Time Nonlinear Systems Based on Safe Reinforcement Learning
Dynamic Sampling Approach to Training Neural Networks for Multiclass Imbalance Classification
A Novel Data Augmentation Method Based on CoralGAN for Prediction of Part Surface Roughness
BASS: Broad Network Based on Localized Stochastic Sensitivity
Adaptive Optimal Control for Unknown Constrained Nonlinear Systems With a Novel Quasi-Model Network
Global Exponential Stability of Memristive Neural Networks With Mixed Time-Varying Delays
Distributed Cooperative Quantum Learning for Discrete-Time Multiagent Source Exploration With Information Prompts
A robust backpropagation learning algorithm for function approximation
Disentangled Retrieval and Reasoning for Implicit Question Answering
Recursive Variable Projection Algorithm for a Class of Separable Nonlinear Models
Spatially Arranged Sparse Recurrent Neural Networks for Energy Efficient Associative Memory
Feature Extraction Using Memristor Networks
Multimodal Continual Learning for Process Monitoring: A Novel Weighted Canonical Correlation Analysis With Attention Mechanism
Neighborhood based Levenberg-Marquardt algorithm for neural network training
Adversarial Learning of Disentangled and Generalizable Representations of Visual Attributes
Variational learning and bits-back coding: an information-theoretic view to Bayesian learning
Nonpooling Convolutional Neural Network Forecasting for Seasonal Time Series With Trends
Winner-take-all neural networks using the highest threshold
Event-Triggered Adaptive Neural Network Sensor Failure Compensation for Switched Interconnected Nonlinear Systems With Unknown Control Coefficients
Existence and stability of a unique equilibrium in continuous-valued discrete-time asynchronous Hopfield neural networks
SwinPA-Net: Swin Transformer-Based Multiscale Feature Pyramid Aggregation Network for Medical Image Segmentation
Gradient methods for the optimization of dynamical systems containing neural networks
A new neural network for cluster-detection-and-labeling
Synchronization of Neural Networks With Control Packet Loss and Time-Varying Delay via Stochastic Sampled-Data Controller
Robust Supervised and Semisupervised Least Squares Regression Using ℓ 2,p -Norm Minimization
GTR: An SQL Generator With Transition Representation in Cross-Domain Database Systems
Enhanced training algorithms, and integrated training/architecture selection for multilayer perceptron networks
C-DeepTrust: A Context-Aware Deep Trust Prediction Model in Online Social Networks
Performance and fault-tolerance of neural networks for optimization
Towards Personalized Federated Learning
Self-Paced Learning-Based Probability Subspace Projection for Hyperspectral Image Classification
Multilayer neural-net robot controller with guaranteed tracking performance
Machine Learning Capabilities of a Simulated Cerebellum
A coupled gradient network approach for static and temporal mixed-integer optimization
A Novel Pruning Algorithm for Smoothing Feedforward Neural Networks Based on Group Lasso Method
A Digital Liquid State Machine With Biologically Inspired Learning and Its Application to Speech Recognition
An intelligent adaptive control scheme for postsurgical blood pressure regulation
A Self-Supervised Deep Learning Method for Seismic Data Deblending Using a Blind-Trace Network
Continuous Online Adaptation of Bioinspired Adaptive Neuroendocrine Control for Autonomous Walking Robots
A Vision Transformer Model for Convolution-Free Multilabel Classification of Satellite Imagery in Deforestation Monitoring
ANNSTLF-a neural-network-based electric load forecasting system
H ∞ -learning of layered neural networks
Automatic Cluster Detection in Kohonen's SOM
Early Classification of Time Series by Simultaneously Optimizing the Accuracy and Earliness
ScaleNet-multiscale neural-network architecture for time series prediction
Adaptive Neural Networks Prescribed Performance Control Design for Switched Interconnected Uncertain Nonlinear Systems
Value Iteration for Stochastic LQR With Convergence Guarantees
Comparison of adaptive methods for function estimation from samples
When Gaussian Process Meets Big Data: A Review of Scalable GPs
Unsupervised Large Margin Discriminative Projection
Sensitivity to noise in bidirectional associative memory (BAM)
Aspect-Aware Graph Attention Network for Heterogeneous Information Networks
Stability and Dynamics Analysis of Time-Delay Fractional-Order Large-Scale Dual-Loop Neural Network Model With Cross-Coupling Structure
On the number of multilinear partitions and the computing capacity of multiple-valued multiple-threshold perceptrons
Backpropagation Algorithms for a Broad Class of Dynamic Networks
Limit Set Dichotomy and Multistability for a Class of Cooperative Neural Networks With Delays
Two-stage clustering via neural networks
Cross-Channel Specific-Mutual Feature Transfer Learning for Motor Imagery EEG Signals Decoding
Multiagent Meta-Reinforcement Learning for Adaptive Multipath Routing Optimization
Hierarchical Address Event Routing for Reconfigurable Large-Scale Neuromorphic Systems
Data-Mining-Based Intelligent Differential Relaying for Transmission Lines Including UPFC and Wind Farms
Coarse-to-Fine: Progressive Knowledge Transfer-Based Multitask Convolutional Neural Network for Intelligent Large-Scale Fault Diagnosis
Improved Fault Classification in Series Compensated Transmission Line: Comparative Evaluation of Chebyshev Neural Network Training Algorithms
Dynamical analysis of neural oscillators in an olfactory cortex model
Exchange Monte Carlo Sampling From Bayesian Posterior for Singular Learning Machines
Social Link Inference via Multiview Matching Network From Spatiotemporal Trajectories
Fast Algorithms for Deep Octonion Networks
Effect of nonlinear transformations on correlation between weighted sums in multilayer perceptrons
Adaptation to New Microphones Using Artificial Neural Networks With Trainable Activation Functions
Quarterly Time-Series Forecasting With Neural Networks
Continual Diffuser (CoD): Mastering Continual Offline RL With Experience Rehearsal
Application of LMS-Based NN Structure for Power Quality Enhancement in a Distribution Network Under Abnormal Conditions
Out-of-Sample Extensions for Non-Parametric Kernel Methods
Design of fuzzy systems using neurofuzzy networks
Mixed $H_2/H_\infty$ State Estimation for Discrete-Time Switched Complex Networks With Random Coupling Strengths Through Redundant Channels
Joint Trajectory Replanning for Mars Ascent Vehicle Under Propulsion System Faults: A Suboptimal Learning-Based Warm-Start Approach
Multi-View Part-Based Few-Shot Object Detection
Brain Cognition-Inspired Dual-Pathway CNN Architecture for Image Classification
The fuzzy c spherical shells algorithm: A new approach
Data-Based Optimal Synchronization of Heterogeneous Multiagent Systems in Graphical Games via Reinforcement Learning
Adaptive Developmental Resonance Network
R-POPTVR: A Novel Reinforcement-Based POPTVR Fuzzy Neural Network for Pattern Classification
Sampled-Data Synchronization of Markovian Coupled Neural Networks With Mode Delays Based on Mode-Dependent LKF
Concurrent Associative Memories With Synaptic Delays
Layer-Wise Mutual Information Meta-Learning Network for Few-Shot Segmentation
CIPL: Counterfactual Interactive Policy Learning to Eliminate Popularity Bias for Online Recommendation
Finite-Time Synchronization and H ∞ Synchronization for Coupled Neural Networks With Multistate or Multiderivative Couplings
Optimal Synchronization of Unidirectionally Coupled FO Chaotic Electromechanical Devices With the Hierarchical Neural Network
Simple Contrastive Graph Clustering
A Multiscale Scheme for Approximating the Quantron's Discriminating Function
Dynamics Analysis of a Population Decoding Model
Cascaded Subpatch Networks for Effective CNNs
Visual-Semantic Graph Matching Net for Zero-Shot Learning
Computing association probabilities using parallel Boltzmann machines
Iterative inversion of neural networks and its application to adaptive control
A constructive method for multivariate function approximation by multilayer perceptrons
Quantum-Inspired Support Vector Machine
Cellular Neural Field and Its Convergence Analysis
A "mutual update" training algorithm for fuzzy adaptive logic control/decision network (FALCON)
Adversarial Multi-Teacher Distillation for Semi-Supervised Relation Extraction
Analog electronic cochlea design using multiplexing switched-capacitor circuits
Difficult Novel Class Detection in Semisupervised Streaming Data
Degree of population diversity - a perspective on premature convergence in genetic algorithms and its Markov chain analysis
A comparison of linear and nonlinear statistical techniques in performance attribution
Interpretability Diversity for Decision-Tree-Initialized Dendritic Neuron Model Ensemble
Learning Lightweight Dynamic Kernels With Attention Inside via Local-Global Context Fusion
Adaptive Set-Membership State Estimation for Nonlinear Systems Under Bit Rate Allocation Mechanism: A Neural-Network-Based Approach
A Universal Framework for Learning the Elliptical Mixture Model
Neuron-synapse IC chip-set for large-scale chaotic neural networks
Adaptive Zone Learning for Weakly Supervised Object Localization
Improving Low-Latency Predictions in Multi-Exit Neural Networks via Block-Dependent Losses
Suboptimal Leader-to-Coordination Control for Nonlinear Systems With Switching Topologies: A Learning-Based Method
Two-Level Game-Based Distributed Optimal Fault-Tolerant Control for Nonlinear Interconnected Systems
Building cost functions minimizing to some summary statistics
VLSI implementations of threshold logic-a comprehensive survey
Multi-Objective Evolutionary Federated Learning
Research Ideas Discovery via Hierarchical Negative Correlation
On adaptive trajectory tracking of a robot manipulator using inversion of its neural emulator
Episodic Memory in Minicolumn Associative Knowledge Graphs
Semisupervised Learning With Parameter-Free Similarity of Label and Side Information
Convergence Rate for Discrete-Time Multiagent Systems With Time-Varying Delays and General Coupling Coefficients
Finite-Time H ∞ State Estimation for Two-Time-Scale Complex Networks Under Stochastic Communication Protocol
Adaptive combination of PCA and VQ networks
Mining Top- ${k}$ Useful Negative Sequential Patterns via Learning
Exponential State Estimation for Stochastically Disturbed Discrete-Time Memristive Neural Networks: Multiobjective Approach
Fully Distributed Event-Triggered Anti-Windup Consensus of Heterogeneous Systems With Input Saturation and an Active Leader
A Neural Controller for Image-Based Visual Servoing of Manipulators With Physical Constraints
A Direct Self-Constructing Neural Controller Design for a Class of Nonlinear Systems
A Class of Self-Stabilizing MCA Learning Algorithms
A Dynamic Feedforward Neural Network Based on Gaussian Particle Swarm Optimization and its Application for Predictive Control
Neural Architecture Search for Portrait Parsing
Multivariate Density Estimation by Neural Networks
RankMap: A Framework for Distributed Learning From Dense Data Sets
A VLSI recurrent network of integrate-and-fire neurons connected by plastic synapses with long-term memory
Classification in a normalized feature space using support vector machines
Improving Global Generalization and Local Personalization for Federated Learning
The relevance vector machine technique for channel equalization application
Neural Network for Graphs: A Contextual Constructive Approach
Diverse Representations Embedding for Lifelong Person Re-Identification
An input-output based robust stabilization criterion for neural-network control of nonlinear systems
Kerneltron: support vector "machine" in silicon
Meta-Reinforcement Learning in Nonstationary and Nonparametric Environments
Predefined-Time Zeroing Neural Networks With Independent Prior Parameter for Solving Time-Varying Plural Lyapunov Tensor Equation
A Tree-Structured Multitask Model Architectures Recommendation System
Support vector machine multiuser receiver for DS-CDMA signals in multipath channels
Trace Ratio Problem Revisited
Hierarchical Sparse Representation Clustering for High-Dimensional Data Streams
Railway Track Circuit Fault Diagnosis Using Recurrent Neural Networks
Tractable Learning and Inference for Large-Scale Probabilistic Boolean Networks
A Survey on Confidence Calibration of Deep Learning-Based Classification Models Under Class Imbalance Data
TFG-Net: A Text Feature-Guided Network for Small Traffic Sign Detection
Ensemble Pruning Based on Objection Maximization With a General Distributed Framework
Synchronization of Delayed Complex Networks on Time Scales via Aperiodically Intermittent Control Using Matrix-Based Convex Combination Method
Active Learning With Drifting Streaming Data
Extended Dissipativity Analysis for Markovian Jump Neural Networks With Time-Varying Delay via Delay-Product-Type Functionals
Stability Analysis of Delayed Recurrent Neural Networks via a Quadratic Matrix Convex Combination Approach
Study on the Impact of Partition-Induced Dataset Shift on k -Fold Cross-Validation
Action Candidate Driven Clipped Double Q-Learning for Discrete and Continuous Action Tasks
Online Nonlinear AUC Maximization for Imbalanced Data Sets
A Framework for Counterfactual Explanation of Predictive Uncertainty in Multimodal Models
Geometrical interpretation and architecture selection of MLP
Weird-Net: Weighted Relative Distance Attention for Efficient and Robust Sequence Processing
A Generalized Least Absolute Deviation Method for Parameter Estimation of Autoregressive Signals
Local Independence Testing for Point Processes
Inverse-Based Approach to Explaining and Visualizing Convolutional Neural Networks
Implementation Study of an Analog Spiking Neural Network for Assisting Cardiac Delay Prediction in a Cardiac Resynchronization Therapy Device
Basic Difference Between Brain and Computer: Integration of Asynchronous Processes Implemented as Hardware Model of the Retina
Prescribed Performance Quantized Tracking Control for a Class of Delayed Switched Nonlinear Systems With Actuator Hysteresis Using a Filter-Connected Switched Hysteretic Quantizer
Toward Less Constrained Macro-Neural Architecture Search
EEGMatch: Learning With Incomplete Labels for Semisupervised EEG-Based Cross-Subject Emotion Recognition
Smoothness-Driven Consensus Based on Compact Representation for Robust Feature Matching
A note on least-squares learning procedures and classification by neural network models
RelativeNAS: Relative Neural Architecture Search via Slow-Fast Learning
Combining expert neural networks using reinforcement feedback for learning primitive grasping behavior
Comments on "The 1993 DIMACS graph coloring Challenge" and "Energy function-based approaches to graph Coloring"
Boundedness and Complete Stability of Complex-Valued Neural Networks With Time Delay
First-order versus second-order single-layer recurrent neural networks
Implementing regularly structured neural networks on the DREAM machine
Backtrackless Walks on a Graph
Modal-Regression-Based Structured Low-Rank Matrix Recovery for Multiview Learning
SPiForest: An Anomaly Detecting Algorithm Using Space Partition Constructed by Probability Density-Based Inverse Sampling
Back-propagation learning in expert networks
Just-in-Time Adaptive Classifiers - Part II: Designing the Classifier
Disentangling Modality and Posture Factors: Memory-Attention and Orthogonal Decomposition for Visible-Infrared Person Re-Identification
Ensemble Learning in Fixed Expansion Layer Networks for Mitigating Catastrophic Forgetting
Adaptive Neural Network Learning Controller Design for a Class of Nonlinear Systems With Time-Varying State Constraints
PeriodNet: Noise-Robust Fault Diagnosis Method Under Varying Speed Conditions
Multitargets Joint Training Lightweight Model for Object Detection of Substation
A single-iteration threshold Hamming network
Taming Self-Supervised Learning for Presentation Attack Detection: De-Folding and De-Mixing
Fast-Time Stability of Temporal Boolean Networks
Event-Based Impulsive Control of Continuous-Time Dynamic Systems and Its Application to Synchronization of Memristive Neural Networks
Time Interval-Enhanced Graph Neural Network for Shared-Account Cross-Domain Sequential Recommendation
Multivariate Uncertainty in Deep Learning
An Integrated Multitasking Intelligent Bearing Fault Diagnosis Scheme Based on Representation Learning Under Imbalanced Sample Condition
Cluster Synchronization on Multiple Nonlinearly Coupled Dynamical Subnetworks of Complex Networks With Nonidentical Nodes
GMM-Based Intermediate Matching Kernel for Classification of Varying Length Patterns of Long Duration Speech Using Support Vector Machines
Face Recognition Using an Enhanced Independent Component Analysis Approach
LMFE: Learning-Based Multiscale Feature Engineering in Partial Discharge Detection
Temporal updating scheme for probabilistic neural network with application to satellite cloud classification
Utilizing TOP2 Class for Hybrid Decision-Making to Enhance TOP1 Accuracy of Ensemble Models
Unified Feature Selection Approach for Complex Data Based on Fuzzy β-Covering Reduction via Information Granulation
A Semisupervised Approach to the Detection and Characterization of Outliers in Categorical Data
Combining DC Algorithms (DCAs) and Decomposition Techniques for the Training of Nonpositive-Semidefinite Kernels
On the optimality of neural-network approximation using incremental algorithms
Incremental Learning of Chunk Data for Online Pattern Classification Systems
Generalized Unitarily Invariant Gauge Regularization for Fast Low-Rank Matrix Recovery
KNNENS: A k-Nearest Neighbor Ensemble-Based Method for Incremental Learning Under Data Stream With Emerging New Classes
Anomaly Detection Based on Zero-Shot Outlier Synthesis and Hierarchical Feature Distillation
Neural-Network-Based Near-Optimal Control for a Class of Discrete-Time Affine Nonlinear Systems With Control Constraints
Activated Gradients for Deep Neural Networks
Local Restricted Convolutional Neural Network for Change Detection in Polarimetric SAR Images
Deep Convolutional Tables: Deep Learning Without Convolutions
Learning shape from shading by a multilayer network
Neural computation approach for developing a 3D shape reconstruction model
Underdetermined Blind Source Separation Using Sparse Coding
Spatial-Temporal Co-Attention Learning for Diagnosis of Mental Disorders From Resting-State fMRI Data
Real-Time Depth Completion With Multimodal Feature Alignment
Learning a World Model With Multitimescale Memory Augmentation
Highly Accurate Moving Object Detection in Variable Bit Rate Video-Based Traffic Monitoring Systems
Discriminative Fisher Embedding Dictionary Learning Algorithm for Object Recognition
Multitask Learning for Estimating Multitype Cardiac Indices in MRI and CT Based on Adversarial Reverse Mapping
A Recurrent Neural Network for Hierarchical Control of Interconnected Dynamic Systems
Toward Quantum Federated Learning
Deep Neural Architectures for Highly Imbalanced Data in Bioinformatics
Comparative study of stock trend prediction using time delay, recurrent and probabilistic neural networks
Optimal control of terminal processes using neural networks
FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation
Attractivity Analysis of Memristor-Based Cellular Neural Networks With Time-Varying Delays
Exponential Stabilization for Sampled-Data Neural-Network-Based Control Systems
A Switching Memory-Based Event-Trigger Scheme for Synchronization of Lur'e Systems With Actuator Saturation: A Hybrid Lyapunov Method
Robust Cumulative Crowdsourcing Framework Using New Incentive Payment Function and Joint Aggregation Model
Concept Factorization With Local Centroids
Parameter-Free Multiview K-Means Clustering With Coordinate Descent Method
EPSegNet: Lightweight Semantic Recalibration and Assembly for Efficient Polyp Segmentation
Exploring the Intersection Between Neural Architecture Search and Continual Learning
End-to-End Multitask Learning With Vision Transformer
End-to-End Streaming Video Temporal Action Segmentation With Reinforcement Learning
Probabilistic Neural-Symbolic Models With Inductive Posterior Constraints
Feature Selection for MLP Neural Network: The Use of Random Permutation of Probabilistic Outputs
Deeply Coupled Convolution-Transformer With Spatial-Temporal Complementary Learning for Video-Based Person Re-Identification
Sequential Outlier Criterion for Sparsification of Online Adaptive Filtering
M3W: Multistep Three-Way Clustering
A Discrete-Time Projection Neural Network for Sparse Signal Reconstruction With Application to Face Recognition
A Neural Network Approach to Dynamic Task Assignment of Multirobots
A Heterogeneous Group CNN for Image Super-Resolution
Average of Pruning: Improving Performance and Stability of Out-of-Distribution Detection
Extracting Relational Explanations From Deep Neural Networks: A Survey From a Neural-Symbolic Perspective
Reducing and Filtering Point Clouds With Enhanced Vector Quantization
Extreme Trust Region Policy Optimization for Active Object Recognition
Aperiodically Intermittent Event-Triggered Optimal Average Consensus for Nonlinear Multi-Agent Systems
Combining Optimal Path Search With Task-Dependent Learning in a Neural Network
Robust Adaptive Gradient-Descent Training Algorithm for Recurrent Neural Networks in Discrete Time Domain
Improving Exploration in Actor-Critic With Weakly Pessimistic Value Estimation and Optimistic Policy Optimization
Adaptive Learning and Sampled-Control for Nonlinear Game Systems Using Dynamic Event-Triggering Strategy
Observer Design for Switched Recurrent Neural Networks: An Average Dwell Time Approach
Covariate Balancing Methods for Randomized Controlled Trials Are Not Adversarially Robust
On the use of artificial neural networks for the analysis of survival data
Feature Aggregation With Reinforcement Learning for Video-Based Person Re-Identification
Adaptive nearest neighbor pattern classification
Safe Exploration Algorithms for Reinforcement Learning Controllers
Ordinal Neural Networks Without Iterative Tuning
M 2 D-VAE: Self-Supervised Probabilistic Temporal-Spatial Latent Representation Learning for Unsupervised Industrial Operational Applications Under Missing Value Interference
Multitask-Guided Deep Clustering With Boundary Adaptation
Mean field annealing using compound Gauss-Markov random fields for edge detection and image estimation
MiniSeg: An Extremely Minimum Network Based on Lightweight Multiscale Learning for Efficient COVID-19 Segmentation
Partial Sequence Labeling With Structured Gaussian Processes
Adaptive Neural Network Finite-Time Control for Multi-Input and Multi-Output Nonlinear Systems With Positive Powers of Odd Rational Numbers
Deep Reinforcement Learning for Nash Equilibrium of Differential Games
Sparse Bayesian Modeling With Adaptive Kernel Learning
Generalization Characteristics of Complex-Valued Feedforward Neural Networks in Relation to Signal Coherence
Projective Synchronization of Discrete-Time Variable-Order Fractional Neural Networks With Time-Varying Delays
Neural networks for feedback feedforward nonlinear control systems
Complex ICA by Negentropy Maximization
Recognizing Missing Electromyography Signal by Data Split Reorganization Strategy and Weight-Based Multiple Neural Network Voting Method
ADT²R: Adaptive Decision Transformer for Dynamic Treatment Regimes in Sepsis
Adaptive Learning Control for Finite Interval Tracking Based on Constructive Function Approximation and Wavelet
Fully Complex-Valued Gated Recurrent Neural Network for Ultrasound Imaging
Probabilistic Distance for Mixtures of Independent Component Analyzers
Selecting Graph Cut Solutions via Global Graph Similarity
Intermittent Learning Through Operant Conditioning for Cyber-Physical Systems