yusuke1997/dblp-id-title huggingface dataset:
Data mining in soft computing framework: a survey
Active Learning for Handling Missing Data
ReCL: A Plug-and-Play Module for Enhancing Generalized Category Discovery Using Transport-Based Method to Uncover the Relationship in Samples
Parallel Reservoir Computing Using Optical Amplifiers
A New Discriminative Sparse Representation Method for Robust Face Recognition via l 2 Regularization
Covariance Matrix Adaptation for Multiobjective Multiarmed Bandits
A high-performance feedback neural network for solving convex nonlinear programming problems
AFed: Algorithmic Fair Federated Learning
DACH: Domain Adaptation Without Domain Information
Speaking mode variability in multimodal speech production
New Criteria on Finite-Time Stability of Fractional-Order Hopfield Neural Networks With Time Delays
FPGA-Based Distributed Computing Microarchitecture for Complex Physical Dynamics Investigation
Asymptotic convergence of an SMO algorithm without any assumptions
Dynamic Neural Network Structure: A Review for its Theories and Applications
Extrapolation Convolution for Data Prediction on a 2-D Grid: Bridging Spatial and Frequency Domains With Applications in Image Outpainting and Compressed Sensing
Dendritic Neuron Model With Effective Learning Algorithms for Classification, Approximation, and Prediction
Time-/Event-Triggered Adaptive Neural Asymptotic Tracking Control of Nonlinear Interconnected Systems With Unmodeled Dynamics and Prescribed Performance
Comparison of ℓ 1 -Norm SVR and Sparse Coding Algorithms for Linear Regression
Consensus of Positive Networked Systems on Directed Graphs
On Practical Robust Reinforcement Learning: Adjacent Uncertainty Set and Double-Agent Algorithm
Deep Metric Learning Based on Meta-Mining Strategy With Semiglobal Information
Distributed Optimal Consensus Control for Nonlinear Multiagent System With Unknown Dynamic
Particle Swarm Optimization Algorithm With Self-Organizing Mapping for Nash Equilibrium Strategy in Application of Multiobjective Optimization
SPD: Semi-Supervised Learning and Progressive Distillation for 3-D Detection
Automatic Temperature Parameter Tuning for Reinforcement Learning Using Path Integral Policy Improvement
Addressing Skewed Heterogeneity via Federated Prototype Rectification With Personalization
Deep Learning of Part-Based Representation of Data Using Sparse Autoencoders With Nonnegativity Constraints
A Deep Convolutional Neural Network Model for Improving WRF Simulations
A Lagrangian relaxation network for graph matching
A Levenberg-Marquardt Algorithm for Sparse Identification of Dynamical Systems
Cosaliency Detection Based on Intrasaliency Prior Transfer and Deep Intersaliency Mining
Goal Representation Heuristic Dynamic Programming on Maze Navigation
A Multistage Game in Smart Grid Security: A Reinforcement Learning Solution
Data-Driven Iterative Learning Model Predictive Control With Self-Modified Prior Knowledge
MDFA: A Quantitative Framework for the Analysis of Multimodal Facial Esthetics
Mixed-Precision Kernel Recursive Least Squares
JORA: Weakly Supervised User Identity Linkage via Jointly Learning to Represent and Align
Single-Image Deraining via Recurrent Residual Multiscale Networks
Optical neuron by use of a laser diode with injection seeding and external optical feedback
Structure optimization of neural networks with the A*-algorithm
Can the Virtual Labels Obtained by Traditional LP Approaches Be Well Encoded in WLR?
A Novel Deep Class-Imbalanced Semisupervised Model for Wind Turbine Blade Icing Detection
RCoNet: Deformable Mutual Information Maximization and High-Order Uncertainty-Aware Learning for Robust COVID-19 Detection
A New Approach to Stochastic Stability of Markovian Neural Networks With Generalized Transition Rates
Multiview Concept Learning Via Deep Matrix Factorization
Knowledge Extraction From Neural Networks Using the All-Permutations Fuzzy Rule Base: The LED Display Recognition Problem
A novel neural network for nonlinear convex programming
Deep Learning From Multiple Noisy Annotators as A Union
Heterogeneous Multidomain Recommender System Through Adversarial Learning
Neural intelligent control for a steel plant
Scale-Driven Tensor Representation-Based Multiview Clustering
A synthesis procedure for brain-state-in-a-box neural networks
Adaptive Neural Consensus for Fractional-Order Multi-Agent Systems With Faults and Delays
Semisupervised Learning on Graphs With an Alternating Diffusion Process
Option Pricing With Modular Neural Networks
Objective quality assessment of MPEG-2 video streams by using CBP neural networks
Synaptic Variability in a Cortical Neuromorphic Circuit
Global exponential periodicity of a class of recurrent neural networks with oscillating parameters and time-varying delays
Credit Card Fraud Detection: A Realistic Modeling and a Novel Learning Strategy
Unsupervised Feature Selection via Adaptive Graph Learning and Constraint
Parallel growing and training of neural networks using output parallelism
Linear Regression-Based Efficient SVM Learning for Large-Scale Classification
FTA-GAN: A Computation-Efficient Accelerator for GANs With Fast Transformation Algorithm
Feature Saliencies in Asymmetric Hidden Markov Models
Beyond Euclidean Structures: Collaborative Topological Graph Learning for Multiview Clustering
Implementing Graph-Theoretic Feature Selection by Quantum Approximate Optimization Algorithm
LIAF-Net: Leaky Integrate and Analog Fire Network for Lightweight and Efficient Spatiotemporal Information Processing
Contrast enhancement for backpropagation
The Q-Fractionalism Reasoning Learning Method
Discriminative and Robust Autoencoders for Unsupervised Feature Selection
Advancing Spiking Neural Networks Toward Deep Residual Learning
Dimension Selective Self-Organizing Maps With Time-Varying Structure for Subspace and Projected Clustering
Doubly Nonparametric Sparse Nonnegative Matrix Factorization Based on Dependent Indian Buffet Processes
In memoriam: walter j. karplus
ActionCLIP: Adapting Language-Image Pretrained Models for Video Action Recognition
Image Captioning via Dynamic Path Customization
Stubborn State Estimation for Delayed Neural Networks Using Saturating Output Errors
Perception and Navigation in Autonomous Systems in the Era of Learning: A Survey
Guest Editorial Special Issue on New Developments in Neural Network Structures for Signal Processing, Autonomous Decision, and Adaptive Control
Dissipativity-Based Finite-Time Filtering for Uncertain Semi-Markovian Jump Random Systems With Multiple Time Delays and State Constraints
Current-mode subthreshold MOS circuits for analog VLSI neural systems
Unprejudiced Training Auxiliary Tasks Makes Primary Better: A Multitask Learning Perspective
Personalized Federated Few-Shot Learning
Discriminative Transfer Learning Using Similarities and Dissimilarities
Sensitivity-Based Adaptive Learning Rules for Binary Feedforward Neural Networks
Decision boundary feature extraction for neural networks
Tiny Object Tracking: A Large-Scale Dataset and a Baseline
Online Supplementary ADP Learning Controller Design and Application to Power System Frequency Control With Large-Scale Wind Energy Integration
A Robust Elicitation Algorithm for Discovering DNA Motifs Using Fuzzy Self-Organizing Maps
Novel LMI-Based Condition on Global Asymptotic Stability for a Class of Cohen-Grossberg BAM Networks With Extended Activation Functions
Deep Graph Learning for Anomalous Citation Detection
A Survey on Scenario Theory, Complexity, and Compression-Based Learning and Generalization
Synchronization of Intermittently Coupled Neural Networks With Coupling Delay
Adaptive Control of Uncertain Nonaffine Nonlinear Systems With Input Saturation Using Neural Networks
Simulation-Aided Handover Prediction From Video Using Recurrent Image-to-Motion Networks
Prototype-Guided Memory Replay for Continual Learning
Neural-Dynamic Optimization-Based Model Predictive Control for Tracking and Formation of Nonholonomic Multirobot Systems
Probabilistic Regularized Extreme Learning for Robust Modeling of Traffic Flow Forecasting
A Stochastic Mean Field Model for an Excitatory and Inhibitory Synaptic Drive Cortical Neuronal Network
Semicentralized Deep Deterministic Policy Gradient in Cooperative StarCraft Games
Robust Consensus Tracking Control for Multiagent Systems With Initial State Shifts, Disturbances, and Switching Topologies
SAGN: Sparse Adaptive Gated Graph Neural Network With Graph Regularization for Identifying Dual-View Brain Networks
Efficient and Fast Joint Sparse Constrained Canonical Correlation Analysis for Fault Detection
Automatic induction of projection pursuit indices
Principal independent component analysis
Scale-based clustering using the radial basis function network
A Sequential Stein's Method for Faster Training of Additive Index Models
Flexible Job Shop Scheduling via Dual Attention Network-Based Reinforcement Learning
Multitask Classification Hypothesis Space With Improved Generalization Bounds
An Improved Finite-Time and Fixed-Time Stable Synchronization of Coupled Discontinuous Neural Networks
Judgment Prediction Based on Tensor Decomposition With Optimized Neural Networks
DisenSemi: Semi-Supervised Graph Classification via Disentangled Representation Learning
Cross-Modal Remote Sensing Image-Text Retrieval via Context and Uncertainty-Aware Prompt
Spatial Gaussian Process Regression With Mobile Sensor Networks
Reachable Set Estimation for Neural Network Control Systems: A Simulation-Guided Approach
YolTrack: Multitask Learning Based Real-Time Multiobject Tracking and Segmentation for Autonomous Vehicles
Neural network-based control design: an LMI approach
Neural Operator Variational Inference Based on Regularized Stein Discrepancy for Deep Gaussian Processes
Semisupervised Training of Deep Generative Models for High-Dimensional Anomaly Detection
Graph Convolutional Adversarial Networks for Spatiotemporal Anomaly Detection
Projection-Based Fast Learning Fully Complex-Valued Relaxation Neural Network
Robust Image Regression Based on the Extended Matrix Variate Power Exponential Distribution of Dependent Noise
Finding the shortest path in the shortest time using PCNN's
Synchronization of Delayed Memristor-Based Neural Networks via Pinning Control With Local Information
A Survey on Hyperlink Prediction
Multiview Structural Large Margin Classifier and its Safe Acceleration Strategy
A Switched System Model for Exponential Stability and Dissipativity of Delayed Neural Networks
Constructive feedforward ART clustering networks. II
Regret Minimization in Population Network Games: Vanishing Heterogeneity and Convergence to Equilibria
A Cognitive Fault Diagnosis System for Distributed Sensor Networks
Boosting Memory Efficiency in Transfer Learning for High-Resolution Medical Image Classification
Asymmetric Actuator Backlash Compensation in Quantized Adaptive Control of Uncertain Networked Nonlinear Systems
Polytope ARTMAP: Pattern Classification Without Vigilance Based on General Geometry Categories
Nonnegative Matrix Factorization in Polynomial Feature Space
Retina-Inspired Lightweight Spiking Convolutional Neural Network for Single-Image Dehazing
Multifingered Robot Hand Compliant Manipulation Based on Vision-Based Demonstration and Adaptive Force Control
Finding Principal Paths in Data Space
Robust quasi-LPV control based on neural state-space models
Neighborhood Attention Networks With Adversarial Learning for Link Prediction
Causal Incremental Graph Convolution for Recommender System Retraining
Simple Method for High-Performance Digit Recognition Based on Sparse Coding
Robust redesign of a neural network controller in the presence of unmodeled dynamics
Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review
Coupled Attribute Learning for Heterogeneous Face Recognition
Kernel-Matching Pursuits With Arbitrary Loss Functions
Morphological Feature Visualization of Alzheimer's Disease via Multidirectional Perception GAN
DPFL-Nets: Deep Pyramid Feature Learning Networks for Multiscale Change Detection
Temporal Network Embedding for Link Prediction via VAE Joint Attention Mechanism
Weighted Rule Based Adaptive Algorithm for Simultaneously Extracting Generalized Eigenvectors
The TInMANN VLSI chip
Pleno-Alignment Framework for Stock Trend Prediction
Decentralized Dynamic Surface Control of Large-Scale Interconnected Systems in Strict-Feedback Form Using Neural Networks With Asymptotic Stabilization
A 3 CLNN: Spatial, Spectral and Multiscale Attention ConvLSTM Neural Network for Multisource Remote Sensing Data Classification
Multimodal Deep Network Embedding With Integrated Structure and Attribute Information
CSTNet: A Dual-Branch Convolutional Neural Network for Imaging of Reactive Flows Using Chemical Species Tomography
A New Constrained Independent Component Analysis Method
Label Informed Contrastive Pretraining for Node Importance Estimation on Knowledge Graphs
Synchronization of Coupled Reaction-Diffusion Neural Networks With Directed Topology via an Adaptive Approach
Extended Dissipativity Analysis for Markovian Jump Neural Networks via Double-Integral-Based Delay-Product-Type Lyapunov Functional
Incremental communication for adaptive resonance theory networks
Medical Transformer: Universal Encoder for 3-D Brain MRI Analysis
Metacognitive Octonion-Valued Neural Networks as They Relate to Time Series Analysis
Nontrivial Global Attractors in 2-D Multistable Attractor Neural Networks
Hypergraph-Induced Convolutional Networks for Visual Classification
In-Sample and Out-of-Sample Model Selection and Error Estimation for Support Vector Machines
BENN: Bias Estimation Using a Deep Neural Network
Learning in Variable-Dimensional Spaces
Design and Implementation of Pavlovian Associative Memory Based on DNA Neurons
Comparison of four neural net learning methods for dynamic system identification
Word2Pix: Word to Pixel Cross-Attention Transformer in Visual Grounding
Associative memory design for 256 gray-level images using a multilayer neural network
A Squeezed Artificial Neural Network for the Symbolic Network Reliability Functions of Binary-State Networks
Survey on Multi-Output Learning
BayesFlow: Learning Complex Stochastic Models With Invertible Neural Networks
The min-max function differentiation and training of fuzzy neural networks
Toward Compact ConvNets via Structure-Sparsity Regularized Filter Pruning
Methodology of Recurrent Laguerre-Volterra Network for Modeling Nonlinear Dynamic Systems
FPGA implementation of ICA algorithm for blind signal separation and adaptive noise canceling
2-D Transformer: Extending Large Language Models to Long-Context With Few Memory
Synchronization of Time-Delay Coupled Neural Networks With Stabilizing Delayed Impulsive Control
Neural-Network-Based Adaptive Constrained Control for Switched Systems Under State-Dependent Switching Law
Improved neural network for SVM learning
A Kernel Classification Framework for Metric Learning
"Vague-to-Crisp" Neural Mechanism of Perception
Modeling Mood Polarity and Declaration Occurrence by Neural Temporal Point Processes
A Fast and Scalable Recurrent Neural Network Based on Stochastic Meta Descent
Robust output feedback control of nonlinear stochastic systems using neural networks
Simultaneous Optimization of Discrete and Continuous Parameters Defining a Robot Morphology and Controller
Generalized Weakly Supervised Object Localization
De-Pessimism Offline Reinforcement Learning via Value Compensation
Identification of Autistic Risk Candidate Genes and Toxic Chemicals via Multilabel Learning
Radial Basis Function Networks GPU-Based Implementation
Robust Scene Parsing by Mining Supportive Knowledge From Dataset
Nonuniformly Sampled Data Processing Using LSTM Networks
Adaptive Discrete-Time Flight Control Using Disturbance Observer and Neural Networks
A Deep Learning Framework for Start-End Frame Pair-Driven Motion Synthesis
Feature Learning for Image Classification Via Multiobjective Genetic Programming
Online Supervised Learning for Hardware-Based Multilayer Spiking Neural Networks Through the Modulation of Weight-Dependent Spike-Timing-Dependent Plasticity
DW-GAN: Toward High-Fidelity Color-Tones of GAN-Generated Images With Dynamic Weights
Bad and Good Errors: Value-Weighted Skill Scores in Deep Ensemble Learning
Sociological-Theory-Based Multitopic Self-Supervised Recommendation
Secure and Efficient Federated Learning Against Model Poisoning Attacks in Horizontal and Vertical Data Partitioning
Learning Cross-Attention Discriminators via Alternating Time-Space Transformers for Visual Tracking
Deep Cascade Learning
Evolving recurrent perceptrons for time-series modeling
Design of recurrent neural networks for solving constrained least absolute deviation problems
Active Learning-Based Pedagogical Rule Extraction
Spatiochromatic Context Modeling for Color Saliency Analysis
A Novel Robotic Pushing and Grasping Method Based on Vision Transformer and Convolution
A Novel Consistent Random Forest Framework: Bernoulli Random Forests
FMCNet+: Feature-Level Modality Compensation for Visible-Infrared Person Re-Identification
Specification and implementation of a digital Hopfield-type associative memory with on-chip training
Adaptive Multigradient Recursive Reinforcement Learning Event-Triggered Tracking Control for Multiagent Systems
Two-Stage Nonnegative Sparse Representation for Large-Scale Face Recognition
Nonlinear Decoupling Control With ANFIS-Based Unmodeled Dynamics Compensation for a Class of Complex Industrial Processes
Modeling and Monitoring of Dynamic Processes
A neural network approach to job-shop scheduling
Unified Low-Rank Matrix Estimate via Penalized Matrix Least Squares Approximation
Tensorized Soft Label Learning Based on Orthogonal NMF
Connectionist-based Dempster-Shafer evidential reasoning for data fusion
Computational Capabilities of Graph Neural Networks
Minimal Pinning Control for Oscillatority of Boolean Networks
H ∞ Tracking Control of Completely Unknown Continuous-Time Systems via Off-Policy Reinforcement Learning
Shilling Black-Box Recommender Systems by Learning to Generate Fake User Profiles
An Efficient Dynamic Optimization Algorithm for Path-Constrained Switched Systems
Learning Robust and Discriminative Subspace With Low-Rank Constraints
Understanding Deep Learning via Decision Boundary
Angular Deep Supervised Vector Quantization for Image Retrieval
Online PLSA: Batch Updating Techniques Including Out-of-Vocabulary Words
Online Identification of Nonlinear Stochastic Spatiotemporal System With Multiplicative Noise by Robust Optimal Control-Based Kernel Learning Method
Sparse Supervised Representation-Based Classifier for Uncontrolled and Imbalanced Classification
On the Capabilities and Computational Costs of Neuron Models
Practical Multisource Transfer Regression With Source-Target Similarity Captures
SemiHAR: Improving Semisupervised Human Activity Recognition via Multitask Learning
Event-Triggered H ∞ State Estimation for Delayed Stochastic Memristive Neural Networks With Missing Measurements: The Discrete Time Case
Farewell Editorial: Smooth Transition of IEEE TNNLS
Brain-Inspired Fast- and Slow-Update Prompt Tuning for Few-Shot Class-Incremental Learning
Dynamic Loss Weighting for Multiorgan Segmentation in Medical Images
Exponential Synchronizationlike Criterion for State-Dependent Impulsive Dynamical Networks
Reproducing chaos by variable structure recurrent neural networks
On the Impact of Regularization Variation on Localized Multiple Kernel Learning
Decentralized Filtering Adaptive Neural Network Control for Uncertain Switched Interconnected Nonlinear Systems
Edge Removal and Q-Learning for Stabilizability of Boolean Networks
Query-Adaptive Late Fusion for Hierarchical Fine-Grained Video-Text Retrieval
Heterogeneous Domain Adaptation via Nonlinear Matrix Factorization
Cross-validation with active pattern selection for neural-network classifiers
Cost-Sensitive Learning of Deep Feature Representations From Imbalanced Data
Metric Learning-Based Fault Diagnosis and Anomaly Detection for Industrial Data With Intraclass Variance
Reinforcement Learning-Based Optimal Tracking Control of an Unknown Unmanned Surface Vehicle
FSAD-Net: Feedback Spatial Attention Dehazing Network
Observer-Based Consensus Control for MASs With Prescribed Constraints via Reinforcement Learning Algorithm
Absolute exponential stability of a class of continuous-time recurrent neural networks
Time-Frequency Approach to Underdetermined Blind Source Separation
Variational Hierarchical N-BEATS Model for Long-Term Time-Series Forecasting
Sampled-Data-Based Secure Synchronization Control for Chaotic Lur'e Systems Subject to Denial-of-Service Attacks
Unsupervised Recognition of Unknown Objects for Open-World Object Detection
Heterogeneous Domain Adaptation Through Progressive Alignment
Improvements on Twin Support Vector Machines
Single-Frame-Based Deep View Synchronization for Unsynchronized Multicamera Surveillance
Corrections to "Learning to Learn Adaptive Classifier-Predictor for Few-Shot Learning"
Analog recurrent decision circuit with high signal-voltage symmetry and delay-time equality to improve continuous-time convergence performance
Saturated Finite Interval Iterative Learning for Tracking of Dynamic Systems With HNN-Structural Output
Switched-capacitor neuromorphs with wide-range variable dynamics
Universal Approximation Capability of Broad Learning System and Its Structural Variations
Targeting Accurate Object Extraction From an Image: A Comprehensive Study of Natural Image Matting
A Self-Organized, Distributed, and Adaptive Rule-Based Induction System
Adaptive Neural Control for a Class of Nonlinear Systems With Uncertain Hysteresis Inputs and Time-Varying State Delays
An analog VLSI chip emulating polarization vision of octopus retina
A Two-Time-Scale Neurodynamic Approach to Constrained Minimax Optimization
Less Is More: A Comprehensive Framework for the Number of Components of Ensemble Classifiers
NVIF: Neighboring Variational Information Flow for Cooperative Large-Scale Multiagent Reinforcement Learning
Multilayer Spectral-Spatial Graphs for Label Noisy Robust Hyperspectral Image Classification
Adaptive Global Sliding-Mode Control for Dynamic Systems Using Double Hidden Layer Recurrent Neural Network Structure
Supervise-Assisted Self-Supervised Deep-Learning Method for Hyperspectral Image Restoration
NeuroPipe-Chip: A digital neuro-processor for spiking neural networks
State Estimation for Static Neural Networks With Time-Varying Delays Based on an Improved Reciprocally Convex Inequality
Bottom-Up Visual Saliency Estimation With Deep Autoencoder-Based Sparse Reconstruction
A Survey of Hardware Self-Organizing Maps
A Boosting Approach to Exploit Instance Correlations for Multi-Instance Classification
Ristretto: A Framework for Empirical Study of Resource-Efficient Inference in Convolutional Neural Networks
A Semisupervised Recurrent Convolutional Attention Model for Human Activity Recognition
Convolution in Convolution for Network in Network
Optimized Backstepping Consensus Control Using Reinforcement Learning for a Class of Nonlinear Strict-Feedback-Dynamic Multi-Agent Systems
Vision-Based Multi-Future Trajectory Prediction: A Survey
Convergence in Networks With Counterclockwise Neural Dynamics
Large-Scale Affine Matrix Rank Minimization With a Novel Nonconvex Regularizer
A Nonconvex Relaxation Approach to Low-Rank Tensor Completion
Learning Gaussian Mixture Models With Entropy-Based Criteria
PANFIS: A Novel Incremental Learning Machine
Self-Supervised Simple Siamese Framework for Fault Diagnosis of Rotating Machinery With Unlabeled Samples
Synchronization of Nonlinear Coupled Networks via Aperiodically Intermittent Pinning Control
EDCompress: Energy-Aware Model Compression for Dataflows
Decentralized Event-Triggered Online Adaptive Control of Unknown Large-Scale Systems Over Wireless Communication Networks
Comparisons of a neural network and a nearest-neighbor classifier via the numeric handprint recognition problem
Parameter-Free and Scalable Incomplete Multiview Clustering With Prototype Graph
Slow Down to Go Better: A Survey on Slow Feature Analysis
Multiclass Oblique Random Forests With Dual-Incremental Learning Capacity
Looking at Boundary: Siamese Densely Cooperative Fusion for Salient Object Detection
Graph based representations of density distribution and distances for self-organizing maps