yusuke1997/dblp-id-title huggingface dataset:
Incremental Robust Nonnegative Matrix Factorization for Object Tracking
GUIDE: Generative Understanding Injection for Dense Estimation via Enhanced Shape Coherence
Semi-supervised Learning for Convolutional Neural Networks Using Mild Supervisory Signals
Performance Comparison of Spatial Filter with Multiple BMFLCs for BCI Applications
Associative Chaotic Neural Networks with Asynchronous Updating: Winner Updates Faster
Structure of Models Based on Classification
PointSC: A Novel Simplicial Complex-Based Neural Network for Point Cloud Classification
Weighted ANN Input Layer for Adaptive Features Selection for Robust Fault Classification
Word-Level Permutation and Improved Lower Frame Rate for RNN-Based Acoustic Modeling
Representation of Relations by Planes in Neural Network Language Model
An Alignment and Matching Network with Hierarchical Visual Features for Multimodal Named Entity and Relation Extraction
SLAM: A Lightweight Spatial Location Attention Module for Object Detection
Robust Edge-Based Model with Sparsity Representation for Object Segmentation
Computing Approximate Nash Equilibrium in Two-Team Zero-Sum Games by NashConv Descent
A Novel Chaotic Neural Network for Function Optimization
WebVRGIS: A P2P Network Engine for VR Data and GIS Analysis
Accelerate Support Vector Clustering via Spectral Data Compression
Multi-view Cancer Subtype Identification Based on a Dual-Channel Encoder and Cauchy-Schwarz Divergence
Change Detection in Hyperspectral Images Using Deep Feature Extraction and Active Learning
KeyKnowledgeRAG (K 2RAG ): An Enhanced RAG Method for Improved LLM Question-Answering Capabilities
Hybrid Training of Speaker and Sentence Models for One-Shot Lip Password
A High-Performance Hardware Implementation of a Survival-Based Genetic Algorithm
A Method of Pedestrian Re-identification Based on Multiple Saliency Features
Design of Distribution Independent Noise Filters with Online PDF Estimation
End-to-End Disparity Estimation with Multi-granularity Fully Convolutional Network
Semi-supervised Classification by Local Coordination
Learning Anticipation through Priming in Spatio-temporal Neural Networks
Revisiting 16-Bit Neural Network Training: A Practical Approach for Resource-Limited Learning
Izhikevich Neurons in NeuCube for Longitudinal Data Classification
Binning Encoder-Based Grouped Aggregation for Network Traffic Anomaly Detection
A Strong Baseline for Fashion Retrieval with Person Re-identification Models
Collaboration of the Radial Basis ART and PSO in Multi-Solution Problems of the Hénon Map
Heterogeneous Features Integration via Semi-supervised Multi-modal Deep Networks
Online Chaotic Time Series Prediction Based on Square Root Kalman Filter Extreme Learning Machine
Neural Information Processing - 24th International Conference, ICONIP 2017, Guangzhou, China, November 14-18, 2017, Proceedings, Part V
Region-Based Encoding Method Using Multi-dimensional Gaussians for Networks of Spiking Neurons
Inter Subject Correlation of Brain Activity during Visuo-Motor Sequence Learning
Policy Space Noise in Deep Deterministic Policy Gradient
Convolutional Feature-Interacted Factorization Machines for Sparse Contextual Prediction
Context-Dependent Adaptive Behavior Generated in the Theta Phase Coding Network
Vehicle Image Generation Going Well with the Surroundings
Deep Q-Learning with Prioritized Sampling
A Novel Osmosis-Inspired Algorithm for Multiobjective Optimization
DAGAN: Generative Adversarial Network with Dual Attention-Enhanced GRU for Multivariate Time Series Imputation
Weighted Joint Sparse Representation Based Visual Tracking
Low Dose CT Image Denoising Using Efficient Transformer with SimpleGate Mechanism
Adaptive Affine Subspace Self-organizing Map with Kernel Method
Elastic Net Based Weighted Iterative Method for Image Classification
Interpreting Dopamine Activities in Stochastic Reward Tasks
Protein Folding Classification by Committee SVM Array
Blind Dereverberation of Single-Channel Speech Signals Using an ICA-Based Generative Model
Training Large-Scale Spiking Neural Networks on Multi-core Neuromorphic System Using Backpropagation
Average Reward Reinforcement Learning for Semi-Markov Decision Processes
Multi-scale Feature Fusion Neural Network for Accurate Prediction of Drug-Target Interactions
A 3D UWB Hybrid Localization Method Based on BSR and L-AOA
Utilizing Small and Large Spectral Radii for Appropriate Reservoir Computing Design
Learning Discriminative Representation with Attention and Diversity for Large-Scale Face Recognition
Analyzing the Dynamics of Emotional Scene Sequence Using Recurrent Neuro-Fuzzy Network
Optimal Task Grouping Approach in Multitask Learning
An Internal Model of the Human Hand Affects Recognition of Graspable Tools
Intelligent Video Surveillance System Using Dynamic Saliency Map and Boosted Gaussian Mixture Model
Neural Information Processing - 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2-6, 2024, Proceedings, Part VI
Expected Running Time Analysis of a Multiobjective Evolutionary Algorithm on Pseudo-boolean Functions
Calibration of Low Density EEG Sensor Arrays for Brain Source Localization
Prediction of Tropical Storms Using Self-organizing Incremental Neural Networks and Error Evaluation
A Cost-Sensitive Learning Strategy for Feature Extraction from Imbalanced Data
Neuro-Evolutive System for Ego-Motion Estimation with a 3D Camera
Cross-Domain Reinforcement Learning for Sentiment Analysis
Pulsed Para-neural Networks (PPNN) Based on MEXOR Logic
Online Forecasting of Stock Market Movement Direction Using the Improved Incremental Algorithm
An Effective Resolution Method of Chinese Multi-category Words with Conditional Random Field in Electronic Commerce
What Will You Tell Me About the Chart? - Automated Description of Charts
Novel Robust Stability Criteria for Stochastic Hopfield Neural Network with Time-Varying Delays
An Adaptive Learning Rate for Training Ring-Structured Recurrent Network
Robust Tracking Control of Uncertain Nonlinear Systems Using Adaptive Dynamic Programming
Transductive Cartoon Retrieval by Multiple Hypergraph Learning
Disguising Personal Identity Information in EEG Signals
A CMOS Unit Circuit Using Subthreshold Operation of MOSFETs for Chaotic Boltzmann Machines
Adaptive Neural Networks Control on Ship's Linear-Path Following
K-Hop Community Search Based on Local Distance Dynamics
A Preliminary Study on Neural Basis of Collaboration as Mediated by the Level of Reasoning
RGB-D Object Recognition Using the Knowledge Transferred from Relevant RGB Images
Neural Mechanism for Extracting Object Features Critical for Visual Categorization Task
Connectionist Abstraction for Machine Learning by Analogy
Logical Rules for Classification of Medical Data Using Ontogenic Neural Algorithm
Scene Graph Generation Based on Node-Relation Context Module
A Self-Organizing Maps Multivariate Spatio-temporal Approach for the Classification of Atmospheric Conditions
Resource-Aware DNN Partitioning for Privacy-Sensitive Edge-Cloud Systems
Hybrid Deep Shallow Network for Assessment of Depression Using Electroencephalogram Signals
Fuzzy Rules Extraction from Support Vector Machines for Multi-class Classification with Feature Selection
An Adaptive Beamforming by a Generalized Unstructured Neural Network
A Pathology Image Diagnosis Network with Visual Interpretability and Structured Diagnostic Report
3VNet: Topological-Structure Driven Triple-V Network for Retinal Vessel Segmentation
Optimizations of TSP by SOM Method
Facial Expression Recognition with an Attention Network Using a Single Depth Image
Adaptive Scaling for U-Net in Time Series Classification
Movement Control of a Mobile Manipulator Based on Cost Optimization
Human Activity Recognition Model Capable of Handling Various Input Waveforms
Multi-view Pedestrian Recognition Using Shared Dictionary Learning with Group Sparsity
Neuromuscular Activation Based SEMG-Torque Hybrid Modeling and Optimization for Robot Assisted Neurorehabilitation
Sketch-Based Image Retrieval via Compact Binary Codes Learning
HANCaps: A Two-Channel Deep Learning Framework for Fake News Detection in Thai
MPFT: Multi-perspective Frequency Learning for Non-Stationary Time Series Forecasting
Future Prediction with Hierarchical Episodic Memories under Deterministic and Stochastic Environments
A Least Squares Approach to Region Selection
Mining Top-k Minimal Redundancy Frequent Patterns over Uncertain Databases
Boundary Detection from Spectral Information
Soft Sensor Based on Adaptive Local Learning
GAF-FusionNet: Multimodal ECG Analysis via Gramian Angular Fields and Split Attention
Learning Parametric Dynamic Movement Primitives from Multiple Demonstrations
Opinion Formation Dynamics Under the Combined Influences of Majority and Experts
Designing and Searching for Lightweight Monocular Depth Network
Evaluate LLMs on Code Review Understanding: A Multi-step Reasoning Benchmark
Symbolic Memory of Motion Patterns by an Associative Memory Dynamics with Self-organizing Nonmonotonicity
Ovarian Cancer Prognosis by Hemostasis and Complementary Learning
Modeling Severe Traffic Accidents with Spatial and Temporal Features
A Recommendation System Based on Unsupervised Topological Learning
Avoiding Catastrophic Forgetting by a Biologically Inspired Dual-Network Memory Model
High Precision Direction-of-Arrival Estimation for Wideband Signals in Environment with Interference Based on Complex-Valued Neural Networks
Music Genre Classification Using Masked Conditional Neural Networks
Weighted Data Normalization Based on Eigenvalues for Artificial Neural Network Classification
Context-Driven Knowledge Graph Completion with Semantic-Aware Relational Message Passing
Topic Modeling of Chinese Language Using Character-Word Relations
A Cerebellum-Inspired Model-Free Kinematic Control Method with RCM Constraint
Fast Organization of Objects' Spatial Positions in Manipulator Space from Single RGB-D Camera
Radical-Enhanced Chinese Character Embedding
Stability of Periodic Orbits in Dynamic Binary Neural Networks with Ternary Connection
Oscillated Variable Neighborhood Search for Open Vehicle Routing Problem
Multi-scale Multi-step Dependency Graph Neural Network for Multivariate Time-Series Forecasting
An Automatic Intelligent Language Classifier
EEG-Based Age and Gender Recognition Using Tensor Decomposition and Speech Features
Modular Structure of Neocognitron to Pattern Recognition
A Deep Learning Method to Detect Web Attacks Using a Specially Designed CNN
Encrypted-SNN: A Privacy-Preserving Method for Converting Artificial Neural Networks to Spiking Neural Networks
Hybrid RVM Algorithm Based on the Prediction Variance
Automatic Face Recognition for Access Control Using Horizontal and Vertical Features Based on Facial Symmetries
EAY-Net: Edge-Aware Y-Network for Color Guided Depth Map Super-Resolution
Novel Feature Extraction and Classification Technique for Sensor-Based Continuous Arabic Sign Language Recognition
STEncoder: Robust Decomposition for Time Series Forecasting
Improving Deep Learning Powered Auction Design
Learning Joint Multimodal Representation Based on Multi-fusion Deep Neural Networks
Annealed On-Line Learning in a Nonlinear Neural Net
Multi-mobile Object Motion Coordination with Reinforcement Learning
An Evoked Potential-Guided Deep Learning Brain Representation for Visual Classification
Latent Causal Dynamics Model for Model-Based Reinforcement Learning
CuPAN - High Throughput On-chip Interconnection for Neural Networks
Adversarial Minimax Training for Robustness Against Adversarial Examples
An Attack Entity Deducing Model for Attack Forensics
Trajectory Planning with Dynamics Constraints for an Underactuated Manipulator
Effectiveness of Scale Free Network to the Performance Improvement of a Morphological Associative Memory without a Kernel Image
On Similarity Measures for Spike Trains
Dual-Branch StarNet with Mutual Attention and U-Net Denoising for Simultaneously Recognizing Keywords and Speakers
Backward Path Tracking Control for Mobile Robot with Three Trailers
Neural Network-Aided Adaptive UKF for Integrated Underwater Navigation
Trajectory Abstracting with Group-Based Signal Denoising
BKYY Three Layer Net Learning, EM-Like Algorithm, and Selection Criterion for Hidden Unit Number
Rule Extraction from Data by Combining a Structural Learning with Forgetting and Linear Discriminant Functions
Response Time Determinism in Healthcare Data Analytics Using Machine Learning
Neural Information Processing - 24th International Conference, ICONIP 2017, Guangzhou, China, November 14-18, 2017, Proceedings, Part IV
Use of Autocorrelation Kernels in Kernel Canonical Correlation Analysis for Texture Classification
Item Popularity Attention for Mitigating Popularity Bias in Sequential Recommendation
Hierarchical Multiple Models Neural Network Decoupling Controller for a Nonlinear System
Entropy-minimization Mean Teacher for Source-Free Domain Adaptive Object Detection
Dynamic Cloud Workflow Scheduling with a Heuristic-Based Encoding Genetic Algorithm
Unconstrained Face Detection from a Mobile Source Using Convolutional Neural Networks
Reinforcement Learning by KFM Probabilistic Associative Memory Based on Weights Distribution and Area Neuron Increase and Decrease
Improving Object Detection with Consistent Negative Sample Mining
L-DPSNet: Deep Photometric Stereo Network via Local Diffuse Reflectance Maxima
Smoothing of Chemical Analysis Data by Neural Networks
Multi-layered Hand and Face Tracking for Real-Time Gesture Recognition
Competitive Island-Based Cooperative Coevolution for Efficient Optimization of Large-Scale Fully-Separable Continuous Functions
Wheelchair Control Based on Multimodal Brain-Computer Interfaces
Rule-Based Grass Biomass Classification for Roadside Fire Risk Assessment
Next Generation Hybrid Intelligent Medical Diagnosis Systems
A Fast Precise-Spike and Weight-Comparison Based Learning Approach for Evolving Spiking Neural Networks
Community Discovery Algorithm Based on Improved Deep Sparse Autoencoder
A Fully Parallel Fuzzy Inference Processor with True Centre-of-Gravity Defuzzification
A Quantitative Diagnostic Method Based on Bayesian Networks in Traditional Chinese Medicine
Time Series Prediction Method Based on LS-SVR with Modified Gaussian RBF
DNA Computing Hardware Design and Application to Multiclass Cancer Data
Entropy Repulsion for Semi-supervised Learning Against Class Mismatch
Graphical Lasso Quadratic Discriminant Function for Character Recognition
Document Clustering with Cluster Refinement and Non-negative Matrix Factorization
Neural-Evolutionary Learning in a Bounded Rationality Scenario
Neuro-control of Nonlinear Systems with Unknown Input Constraints
Adaptive Probabilistic Policy Reuse
CMFN: Cross-Modal Fusion Network for Irregular Scene Text Recognition
Combining Neural Network and Stroke-Based Method for Handwritten Numeral Recognition and its Application to Tax-form Processing
ML2FNet: A Simple but Effective Multi-level Feature Fusion Network for Document-Level Relation Extraction
RefineFuse: Light-Adaptive Cross-Spectrum Feature Integration for Night Vision Enhancement
Signal Sorting Based on SVC & K-Means Clustering in ESM Systems
Roles of Early Vision for the Dynamics of Border-Ownership Selective Neurons
Functional Differences Between the Spatio-temporal Learning Rule (STLR) and Hebb Type (HEBB) in Single Pyramidal Cells in the Hippocampal CA1 Area
Advancing RVFL Networks: Robust Classification with the HawkEye Loss Function
Adaptive Estimation of Human-Robot Interaction Force for Lower Limb Rehabilitation
Learning from Noisy Labels for Long-Tailed Data via Optimal Transport
EEG-Based Human Decision Confidence Measurement Using Graph Neural Networks
Linked PARAFAC/CP Tensor Decomposition and Its Fast Implementation for Multi-block Tensor Analysis
Visual Speaker Authentication by a CNN-Based Scheme with Discriminative Segment Analysis
Kernel Polarization Based on Cooperative Clustering
Identifier Based Graph Neuron: A Light Weight Event Classification Scheme for WSN
A Minimal Learning Machine for Datasets with Missing Values
Evaluation of Chaotic Resonance by Lyapunov Exponent in Attractor-Merging Type Systems
Neural Information Processing - 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2-6, 2024, Proceedings, Part IX
Genetic Versus Nearest-Neighbor Imputation of Missing Attribute Values for RBF Networks
Analysis of Genetic Disease Hemophilia B by Using Support Vector Machine
Multimodal Isotropic Neural Architecture with Patch Embedding
Newton-Like Methods for Nonparametric Independent Component Analysis
A Framework for Software Defect Prediction Using Optimal Hyper-Parameters of Deep Neural Network
A Biologically Inspired Neural CPG for Sea Wave Conditions/Frequencies
SSPR: A Skyline-Based Semantic Place Retrieval Method
High-Order Control Barrier Function Based Robust Collision Avoidance Formation Tracking of Constrained Multi-agent Systems
Voice Command II: A DSP Implementation of Robust Speech Recognition in Real-World Noisy Environments
Long Short-Term Planning for Conversational Recommendation Systems
Language Learnability by Feedback Self-Organizing Maps
On the Initialization of Long Short-Term Memory Networks
Intuitionistic Fuzzy Universum Support Vector Machine
Supervised Deep Canonical Correlation Analysis for Multiview Feature Learning
Improved Differential Evolution via Cuckoo Search Operator
Multi-modal Rumor Detection via Knowledge-Aware Heterogeneous Graph Convolutional Networks
Pay Attention to Deep Feature Fusion in Crowd Density Estimation
Selected Random Subspace Novelty Detection Filter
Causal-Inspired Influence Maximization in Hypergraphs Under Temporal Constraints
Global Stability of Complex-Valued Neural Networks with Time-Delays and Impulsive Effects
Event Sequence Data Mining in Temporal Databases
Design Methodology of Optimized IG_gHSOFPNN and Its Application to pH Neutralization Process
VFIQ: A Novel Model of ViT-FSIMc Hybrid Siamese Network for Image Quality Assessment
Semantic Perception Swarm Policy with Deep Reinforcement Learning
Performance Advantage of Combined Classifiers in Multi-category Cases: An Analysis
Enhanced Deep Learning Models for Sentiment Analysis in Arab Social Media
Spectral Power Estimation for Unevenly Spaced Motor Imagery Data
Additional Learning for Joint Probability Distribution Matching in BiGAN
Computational Performance of Echo State Networks with Dynamic Synapses
Learning Manifolds for Bankruptcy Analysis
Supervised Level-Wise Pretraining for Sequential Data Classification
A Markov Model for Multiagent Patrolling in Continuous Time
Hybrid Training of Feed-Forward Neural Networks with Particle Swarm Optimization
Generalized PCA Face Recognition by Image Correction and Bit Feature Fusion
SOMphony: Visualizing Symphonies Using Self Organizing Maps
A Deep Neural Network Model for Rating Prediction Based on Multi-layer Prediction and Multi-granularity Latent Feature Vectors
The Forgetting Gradient Algorithm for Parameter and Intersample Estimation of Dual-Rate Systems
Privacy-Preserving Image Classification and Retrieval Scheme over Encrypted Images
Gated Fusion Enhanced Multi-scale Hierarchical Graph Convolutional Network for Stock Movement Prediction
Co-occurrence of Intensity and Gradient Features for Object Detection
Constructing Brain Connectivity Graph by Modified Sparse Representation
Matrix Completion with Fuzzy Sampling for Network Traffic Measurement
LDA-Based Word Image Representation for Keyword Spotting on Historical Mongolian Documents
Information Geometry of Neuro-Manifolds
Gradient-Guided Motion Transfer with Motion Optimization
Simultaneous Perturbation Method for Multi-task Weight Optimization in One-Shot Meta-learning
Q-Learning with Double Progressive Widening: Application to Robotics
Neuronal Synfire Chain via Moment Neuronal Network Approach
A Neural Oscillation Model for Contour Separation in Color Images
Global Minimizer of Large Scale Stochastic Rosenbrock Function: Canonical Duality Approach
Homography Estimation Network Based on Dense Correspondence
Study on Rasterization Algorithm for Graphics Acceleration System
A Vector Quantization Approach for Life-Long Learning of Categories
Improving Risk Predictions by Preprocessing Imbalanced Credit Data
SpiNNaker: The Design Automation Problem
Dictionary of Features in a Biologically Inspired Approach to Image Classification
Multi-task Perceptual Occlusion Face Detection with Semantic Attention Network
Generalisation Performance vs. Architecture Variations in Constructive Cascade Networks
Wave-Based Reservoir Computing by Synchronization of Coupled Oscillators
Adaptive Kernel Leaning Networks with Application to Nonlinear System Identification
A New Probabilistic Approach to Independent Component Analysis Suitable for On-Line Learning in Artificial Neural Networks
Code Generation from Supervised Code Embeddings
Clustering Based on Rank Distance with Applications on DNA
RVFL Classifier Based Ensemble Deep Learning for Early Diagnosis of Alzheimer's Disease
A Novel Graph Regularized Sparse Linear Discriminant Analysis Model for EEG Emotion Recognition
Multiway Canonical Correlation Analysis for Frequency Components Recognition in SSVEP-Based BCIs
Bloomfilter-Based Practical Kernelization Algorithms for Minimum Satisfiability
Decomposition Mixed Pixels of Remote Sensing Image Based on 2-DWT and Kernel ICA
Order-Aware Embedding Non-sampling Factorization Machines for Context-Aware Recommendation
A Neural Network Model for a Hierarchical Spatio-temporal Memory
Neural Information Processing Efforts to Restore Vision in the Blind
Fission-and-Recombination Particle Swarm Optimizers for Search of Multiple Solutions
Self-Organizing Model for the Detection of Really Moving Objects
The Finding of Weak-Ties by Applying Spherical SOM and Association Rules
Towards Feature Enhanced Small Object Recognition in X-ray Safety Inspection
Efficient Single Image Super Resolution Using Enhanced Learned Group Convolutions
Spatio-temporal EEG Data Classification in the NeuCube 3D SNN Environment: Methodology and Examples
Segment-Level Probabilistic Sequence Kernel Based Support Vector Machines for Classification of Varying Length Patterns of Speech
Highlight Detection in Podcasts: A Multimodal Deep Learning Approach
Robust Regression with Nonconvex Schatten p-Norm Minimization
Multi-level Augmentation Boosts Hybrid CNN-Transformer Model for Semi-supervised Cardiac MRI Segmentation
An Autonomous Mobile Robot with Functions of Action Learning, Memorizing, Recall and Identifying the Environment Using Gaussian Mixture Model
Super-Resolution Network for General Static Degradation Model
Budgeted Knowledge Transfer for State-Wise Heterogeneous RL Agents
Hierarchical Down-Sampling Based Ultra High-Resolution Image Inpainting
Adaptive Early Classification of Time Series Using Deep Learning
Evaluating the Effects of Prompt Perturbation on Bias and Hallucination in Large Language Models
Enriching BERT With Knowledge Graph Embedding For Industry Classification
A Novel \ell ^1 ℓ 1 -graph Based Image Classification Algorithm
Hindsight Balanced Reward Shaping
Optimal Hyperparameters for Generalized Learning and Knowledge Discovery in Variational Bayes
A Semantic Segmentation Method for Skin Lesion Images Based on ViT
A Visual Recognition Model Based on Hierarchical Feature Extraction and Multi-layer SNN
Schizophrenia Detection Based on EEG Using Recurrent Auto-encoder Framework
Modeling Attention-Induced Reduction of Spike Synchrony in the Visual Cortex
Selective Track Fusion
Affine-Constrained Group Sparse Coding Based on Mixed Norm
Binary Mother Tree Optimization Algorithm for 0/1 Knapsack Problem
Self-Adjusting Feature Maps Network
Leveraging Knowledge Context Information to Enhance Personalized Recommendation
Towards Unsupervised Learning for Arabic Handwritten Recognition Using Deep Architectures
An Optimized Hybrid Solution for IoT Based Lifestyle Disease Classification Using Stress Data
Using Genetic Algorithm to Balance the D-Index Algorithm for Metric Search
Automated Segmentation and Tracking of Dynamic Focal Adhesions in Time-Lapse Fluorescence Microscopy
A Probabilistic Model for the Cold-Start Problem in Rating Prediction Using Click Data
A Neural Network Based Hierarchical Motor Schema of a Multi-finger Hand and Its Motion Diversity