yusuke1997/dblp-id-title huggingface dataset:
License Plate Detection Using Deep Cascaded Convolutional Neural Networks in Complex Scenes
Image Denoising Using a Deep Encoder-Decoder Network with Skip Connections
Relevance Optimization in Image Database Using Feature Space Preference Mapping and Particle Swarm Optimization
Automated and Holistic Design of Intelligent and Distributed Integrated Sensor Systems with Self-x Properties for Applications in Vision, Robotics, Smart Environments, and Culinary Assistance Systems
Supervised Learning Algorithm for Spiking Neural Networks Based on Nonlinear Synaptic Interaction
Local Linear Spectral Hashing
An Approach for Feature Extraction and Diagnosis of Motor Rotor Bearing Based on Convolution Neural Network
Hierarchical Attention CNN and Entity-Aware for Relation Extraction
Modified Adaptive Implicit Shape Model for Object Detection
Wavelet-Based Estimation of Hemodynamic Response Function
Application of SMOTE and LSSVM with Various Kernels for Predicting Refactoring at Method Level
Automated Tongue Segmentation in Chinese Medicine Based on Deep Learning
An End-to-End Approach for Bearing Fault Diagnosis Based on a Deep Convolution Neural Network
Investigation of Nonlinear Structure of Brain Dynamics Assuming a Text as a Time Series
Improvement of the Relaxation Procedure in Concurrent Q-Learning
Graph Convolutional Neural Network Based on Channel Graph Fusion for EEG Emotion Recognition
Machine Learning Based Method for Huntington's Disease Gait Pattern Recognition
Functional Connectivity Analysis with Voxel-Based Morphometry for Diagnosis of Mild Cognitive Impairment
Learning Based Visibility Measuring with Images
Fast and Accurate Lung Tumor Spotting and Segmentation for Boundary Delineation on CT Slices in a Coarse-to-Fine Framework
Estimation of Third-Order Correlations within Mean Field Approximation
DNA Sequence Pattern Identification Using a Combination of Neuro-Fuzzy Predictors
Topic Optimization Method Based on Pointwise Mutual Information
Analytical Approach to Noise Effects on Synchronization in a System of Coupled Excitable Elements
HyFIS-Yager-gDIC: A Self-organizing Hybrid Neural Fuzzy Inference System Realizing Yager Inference
3ETS+RD-LSTM: A New Hybrid Model for Electrical Energy Consumption Forecasting
Feature Selection and Mass Classification Using Particle Swarm Optimization and Support Vector Machine
PoseRAC: Enhancing Repetitive Action Counting with Salient Poses
Predicting Nonstationary Time Series with Multi-scale Gaussian Processes Model
Multi-scale Dynamic Preservation Mapping: A Time Series Data Augmentation Approach
Feature Extraction Using Support Vector Machines
Accelerating Artificial Bee Colony Algorithm for Global Optimization
Sensorless Speed Control of Hystersis Motor Based on Model Reference Adaptive System and Luenberger Observer Techniques
Least Angle Regression in Orthogonal Case
Mesoscopic Analysis and Synthesis of Membrane Potential Dynamics Using Two-Dimensional Hodgkin-Huxley Equations
A Hybrid Model of Fuzzy ARTMAP and the Genetic Algorithm for Data Classification
Sequence Recommendation Based on Interactive Graph Attention Network
Neuro-fuzzy Modeling and Fuzzy Rule Extraction Applied to Conflict Management
Voxel Classification Based Automatic Hip Cartilage Segmentation from Routine Clinical MR Images
Neural Network Training by Hybrid Accelerated Cuckoo Particle Swarm Optimization Algorithm
Stability Analysis for Higher Order Complex-Valued Hopfield Neural Network
Nitric Oxide Diffusion and Multi-compartmental Systems: Modeling and Implications
Making Image to Class Distance Comparable
Neural Information Processing - 19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012, Proceedings, Part III
A New Association Rule Mining Algorithm
Spatial Feature Extraction by Spike Timing Dependent Synaptic Modification
MmFormer: A Novel Multi-scale and Multi-period Transformer Model for Irregular Periodic Network Traffic Prediction
Solving Fuzzy Linear Regression with Hybrid Optimization
Multi-level Feature Enhancement Method for Medical Text Detection
Generalization Ability of Chaotic Complex-Valued Multidirectional Associative Memory with Adaptive Scaling Factor
Neural Information Processing - 29th International Conference, ICONIP 2022, Virtual Event, November 22-26, 2022, Proceedings, Part V
Correlation Disentangling and Spatio-Temporal Cooperative Optimizing Network for Temperature Prediction Revision
Spiking Neural PID Controllers
Generative Histogram-Based Model Using Unsupervised Learning
Quality Control for Crowdsourced Multi-label Classification Using RAkEL
Brain Computer Interfaces: A Recurrent Neural Network Approach
Neural Information Processing - 32nd International Conference, ICONIP 2025, Okinawa, Japan, November 20-24, 2025, Proceedings, Part V
FreeFlow: A Unified Viewpoint on Diffusion Probabilistic Models via Optimal Transport and Fluid Mechanics
AutoGraph: Automated Graph Neural Network
The Effect of Task Similarity on Deep Transfer Learning
FAD-CRL: Frequency-Aware Dual-Domain Contrastive Representation Learning for Time Series Anomaly Detection
Sharpness Overconstancy: the Roles of Visibility and Current Context
Dynamic Cyclone Wind-Intensity Prediction Using Co-Evolutionary Multi-task Learning
Artificial Neural Network Classification Models for Stress in Reading
A Computational Model of Spatial Imagery Based on Object-Centered Scene Representation
Regularized Multi-source Matrix Factorization for Diagnosis of Alzheimer's Disease
An Effective Yawn Behavior Detection Method in Classroom
Single-Frame Super-Resolution via Compressive Sampling on Hybrid Reconstructions
Unsupervised Anomaly Detection Using HDG-Clustering Algorithm
Enhancing Existing Stockmarket Trading Strategies Using Artificial Neural Networks: A Case Study
Transformer-Based Dynamic Gated Trajectory Privacy-Preserving Generative Adversarial Model
A Recurrent Neural Network for Non-smooth Convex Programming Subject to Linear Equality and Bound Constraints
Self-supervised-Enhanced Dual Hierarchical Graph Convolution Network for Social Recommendation
Computational Modeling of Human-Robot Interaction Based on Active Intention Estimation
A Service-Oriented Approach with Neural Networks and Knowledge Ontologies for Robot Control
NSF-Based Mixture of Gaussian Processes and Its Variational EM Algorithm
Learning from Positive and Unlabelled Examples Using Maximum Margin Clustering
An Improved YOLOv5s for Detecting Glass Tube Defects
Feature Relationships Hypergraph for Multimodal Recognition
Identifying Real and Posed Smiles from Observers' Galvanic Skin Response and Blood Volume Pulse
A Hybrid Representation of Word Images for Keyword Spotting
Retrieval-Aware Image Compression, Its Format and Viewer Based Upon Learned Bases
Automated Detection of Galaxy Groups Through Probabilistic Hough Transform
Memetic Cooperative Neuro-Evolution for Chaotic Time Series Prediction
Task and Instance Quadratic Ordering for Active Online Multitask Learning
Local Near-Optimal Control for Interconnected Systems with Time-Varying Delays
Spike-Timing Dependent Plasticity in Recurrently Connected Networks with Fixed External Inputs
Computational Study of Depth Perception for an Ambiguous Image Region: How Can We Estimate the Depth of Black or White Paper?
Multimodal Neural Network for Demand Forecasting
Multi-scale Local Region-Based Facial Action Unit Detection with Graph Convolutional Network
Extraction of One Time Point Dynamic Group Features via Tucker Decomposition of Multi-subject FMRI Data: Application to Schizophrenia
Multi-granularity Contrastive Siamese Networks for Abstractive Text Summarization
Neural-Symbolic Recommendation with Graph-Enhanced Information
Comparison between the Applications of Fragment-Based and Vertex-Based GPU Approaches in K-Means Clustering of Time Series Gene Expression Data
Research on Relationship between Saccade-Related EEG Signals and Selection of Electrode Position by Independent Component Analysis
A Neural Network Model for Detecting the Motion of an Object Whose Vertexes are Masked
Adaptive Tabu Dropout for Regularization of Deep Neural Networks
A Term and Phase Invariant Neural Network for Fault Signal Diagnosis
The Detection of an Approaching Sound Source Using Pulsed Neural Network
U-Sleep: A Deep Neural Network for Automated Detection of Sleep Arousals Using Multiple PSGs
One-Side Probability Machine: Learning Imbalanced Classifiers Locally and Globally
Thyroid Nodule Classification Using Hierarchical Recurrent Neural Network with Multiple Ultrasound Reports
Learning a Sparse Representation for Robust Face Recognition
Two Matrix-Type Projection Neural Networks for Solving Matrix-Valued Optimization Problems
Achieving Human-Robot Collaboration with Dynamic Goal Inference by Gradient Descent
A Multi-task Framework for Solving Multimodal Multiobjective Optimization Problems
Identification of Causality Among Gene Mutations Through Local Causal Association Rule Discovery
Modularity Maximization Adjusted by Neural Networks
Reliable Robust Controller Design for Nonlinear State-Delayed Systems Based on Neural Networks
Neural Information Processing - 20th International Conference, ICONIP 2013, Daegu, Korea, November 3-7, 2013. Proceedings, Part I
A Homogeneous-Heterogeneous Ensemble of Classifiers
Image Inpainting by Recursive Estimation Using Neural Network and Wavelet Transformation
Secure Distributed Storage for Bulk Data
Adaptive Load Frequency Control and Optimization Based on TD3 Algorithm and Linear Active Disturbance Rejection Control
A Network of Neural Nets to Model Power System Networks for Fault Diagnosis
Stress Recognition in Thermal Videos Using Bi-directional Long-Term Recurrent Convolutional Neural Networks
Feature Fusion Based Deep Spatiotemporal Model for Violence Detection in Videos
A Transformer-Based Model for Low-Resource Event Detection
A Novel Optimized Context-Based Deep Architecture for Scene Parsing
Dynamic Convolution Pruning Using Pooling Characteristic in Convolution Neural Networks
Bayesian Interpretation of Border-Ownership Signals in Early Visual Cortex
The Temporary Degradation of the Stored Information on Cross-coupled Network and its Application for Separation of Overwritten Patterns
CrowdNav-HERO: Pedestrian Trajectory Prediction Based Crowded Navigation with Human-Environment-Robot Ternary Fusion
Performance Evaluation of Validity Indices on Evolutionary K-Means Clustering
Application of Simulated Annealing to Data Distribution for All-to-All Comparison Problems in Homogeneous Systems
High-Performance Light Field Reconstruction with Channel-wise and SAI-wise Attention
Computation of Joint Spectral Radius for Network Model Associated with Rank-One Matrix Set
A Landmark Estimation and Correction Network for Automated Measurement of Sagittal Spinal Parameters
Reinforcement Learning Based Personalized Neural Dialogue Generation
Multilayer Feedforward Ensembles for Classification Problems
Class-Semantic Color-Texture Textons for Vegetation Classification
A Study on Decision Model of Bottleneck Capacity Expansion with Fuzzy Demand
Viewpoint Estimation for Workpieces with Deep Transfer Learning from Cold to Hot
Computational Model of the Cerebral Cortex That Performs Sparse Coding Using a Bayesian Network and Self-Organizing Maps
Vision Transformer with Depth Auxiliary Information for Face Anti-spoofing
Application of Mathematical Morphology in Diesel Vibration Signals
Discriminative Dictionary Learning for Skeletal Action Recognition
Research on Flame Detection Based on Anchor-Free Algorithm FCOS
Robust Facial Alignment for Face Recognition
Pre-trained Financial Model for Price Movement Forecasting
A New Hierarchical Decision Structure Using Wavelet Packet and SVM for Brazilian Phonemes Recognition
Learning to Detect Frame Synchronization
T-Code: Simple Temporal Latent Code for Efficient Dynamic View Synthesis
Deep Tag Recommendation Based on Discrete Tensor Factorization
Deep-PUMR: Deep Positive and Unlabeled Learning with Manifold Regularization
FrustumFusionNets: A 3D Object Detection Network Based on Tractor Road Scene
Artificial Vision Chip for Industrial Applications
Robot Dancing: Adapting Robot Dance to Human Preferences
Nonlinear Feature Extraction Using Evolutionary Algorithm
A New Gene Expression Profiles Classifying Approach Based on Neighborhood Rough Set and Probabilistic Neural Networks Ensemble
Hierarchical Clustering for Local Time Series Forecasting
Three-Dimensional Medical Image Fusion with Deformable Cross-Attention
DAMFormer: Enhancing Polyp Segmentation Through Dual Attention Mechanism
A Pixel-to-Pixel Convolutional Neural Network for Single Image Dehazing
CRA-Eformer: Cross-Scale Residual Attention-Based Edge-Guide Transformer for Low-Dose CT Denoising
Attention-Based 3D ResNet for Detection of Alzheimer's Disease Process
Hybrid DE-MLP-Based Modeling Technique for Prediction of Alloying Element Proportions and Process Parameters
Single Feedback Based Kernel Generalized Maximum Correntropy Adaptive Filtering Algorithm
PEVLR: A New Privacy-Preserving and Efficient Approach for Vertical Logistic Regression
Biologically Inspired Pitch Detection System
Online Weighted Multi-task Feature Selection
Semi-coupled Transform Learning
On the Use of Persistent Homology to Control the Generalization Capacity of a Neural Network
Neural Information Processing - 23rd International Conference, ICONIP 2016, Kyoto, Japan, October 16-21, 2016, Proceedings, Part II
Neural Machine Translation for Financial Listing Documents
Neural Network Implementation in Hardware Using FPGAs
Effective Skill Learning on Vascular Robotic Systems: Combining Offline and Online Reinforcement Learning
Teacher-Student Learning and Post-processing for Robust BiLSTM Mask-Based Acoustic Beamforming
Neural Network Based Approach for Automotive Brake Light Parameter Estimation
CCN: Pavement Crack Detection with Context Contrasted Net
Enhanced Hand Shape Identification Using Random Forests
Attention-Based Multi-component LSTM for Internet Traffic Prediction
Knowledge Memory Based LSTM Model for Answer Selection
Context-Based Anomaly Detection via Spatial Attributed Graphs in Human Monitoring
Discovering Similarities in Malware Behaviors by Clustering of API Call Sequences
BPDec: Unveiling the Potential of Masked Language Modeling Decoder in BERT Model Pretraining
A Novel Adaptive PID Optimizer of Deep Neural Networks
MAR2MIX: A Novel Model for Dynamic Problem in Multi-agent Reinforcement Learning
Conditionally Decorrelated Multi-Target Regression
Early Detection of the Alzheimer Disease Combining Feature Selection and Kernel Machines
SynthTriplet GAN: Synthetic Query Expansion for Multimodal Retrieval
A Transductive Neuro-Fuzzy Force Control: An Ethernet-Based Application to a Drilling Process
A Dynamic Unsupervised Laterally Connected Neural Network Architecture for Integrative Pattern Discovery
Analysis on Wang's kWTA with Stochastic Output Nodes
A Novel Multiplier for Achieving the Programmability of Cellular Neural Network
Using (Automated) Machine Learning and Drug Prescription Records to Predict Mortality and Polypharmacy in Older Type 2 Diabetes Mellitus Patients
Salient Instance Selection for Multiple-Instance Learning
Combining Wikipedia to Identify Prerequisite Relations of Concepts in MOOCs
A Deep Neural Framework for Contextual Affect Detection
Dynamics Analysis of Underactuated Cherrypicker Systems with Friction
The Study of Classification of Motor Imaginaries Based on Kurtosis of EEG
Emotiono: An Ontology with Rule-Based Reasoning for Emotion Recognition
Neural Networks, Fuzzy Inference Systems and Adaptive-Neuro Fuzzy Inference Systems for Financial Decision Making
Combating Adversarial Inputs Using a Predictive-Estimator Network
Embedding-Based Sparse Retrieval in E-Commerce Search
An Effective Ensemble Model Related to Incremental Learning in Neural Machine Translation
Local Learning Rules for Nonnegative Tucker Decomposition
Representation and Identification of Human Faces using Partitioned Iterated Function Systems
Reinforcement of Keypoint Matching by Co-segmentation in Object Retrieval: Face Recognition Case Study
Model Inclusive Learning for Shape from Shading with Simultaneously Estimating Illumination Directions
Plastic Effect of Feedback Connections to Memory Compression and Formation of Knowledge Structure Based on Hebb Rule and Inhibitory Cells
Privacy Preserving Clustering: A k-Means Type Extension
Generative Adversarial Networks for Improving Object Detection in Camouflaged Images
A Method to Switch Multiple CAN2s for Variable Initial Temperature in Temperature Control of RCA Cleaning Solutions
Neural Information Processing - 28th International Conference, ICONIP 2021, Sanur, Bali, Indonesia, December 8-12, 2021, Proceedings, Part VI
A Lightweight Multidimensional Self-attention Network for Fine-Grained Action Recognition
Abnormality Detection in Endoscopic Images Using Color Segmentation and Curvature Computation
Generalized Multi-scale Separable EPI Information for Light Field Image Super-Resolution
Experimental Bayesian Generalization Error of Non-regular Models under Covariate Shift
Semi-supervised Classification by Nuclear-Norm Based Transductive Label Propagation
A Framework for Reinforcement Learning with Autocorrelated Actions
An Effect of Inhibitory Connections on Synchronous Firing Assembly in the Inhibitory Connected Pulse Coupled Neural Network
Collaborative Agent Learning Using Neurocomputing
Enhanced Discrimination of Face Orientation Based on Gabor Filters
Pursuit Movement of Pan-Tilt Camera by Feedback-Error-Learning
HEMQ: Towards More Accurate Post-training Mixed-Precision Quantization of Neural Networks
Rapid APT Detection in Resource-Constrained IoT Devices Using Global Vision Federated Learning (GV-FL)
A "Global Closure" Effect in Contour Integration
Monochromatic Visualization of Multimodal Images by Projection Pursuit
Temporal Semantic Scoring Path Aware Multi-embedding Sequential Recommendation
Two-Stage Attention Network for Aspect-Level Sentiment Classification
Utilizing High-Dimensional Neural Networks for Pseudo-orthogonalization of Memory Patterns
Modeling the Mental Differentiation Task with EEG
PVEIN: A Pretrained Vertex Embedding Infer Network for Open-Domain Question Answer Scoring
Biological Tissue Sections Instance Segmentation Based on Active Learning
Explainable Federated Stacking Models with Encrypted Gradients for Secure Kidney Medical Imaging Diagnosis
Quantum-Behaved Particle Swarm Optimization for Integer Programming
Design of a Multimodal Short Video Classification Model
A Dynamic Bio-inspired Model of Categorization
Transformer with Prior Language Knowledge for Image Captioning
A Causality-Based Interpretable Cognitive Diagnosis Model
Block-Matching Multi-pedestrian Tracking
ANN-Assisted Multi-cloud Scheduling Recommender
Comparison-Based Beam Search for Constructive NCO Approaches
Text Representation by a Computational Model of Reading
A Gene Regulatory Model for the Development of Primitive Nervous Systems
Test-Time Intensity Consistency Adaptation for Shadow Detection
Ada-TransGNN: An Air Quality Prediction Model Based On Adaptive Graph Convolutional Networks
Inter and Intra Individual Variations of Cortical Functional Boundaries Depending on Brain States
Construction and Reasoning for Interval-Valued EBRB Systems
Practical Surface EMG Pattern Classification by Using a Selective Desensitization Neural Network
Recognition of Spatiotemporal Patterns by Nonmonotone Neural Networks
Memory Modification Induced by Pattern Completion and STDP in Hippocampal CA3 Model
A Supervised Spatio-Temporal Contrastive Learning Framework with Optimal Skeleton Subgraph Topology for Human Action Recognition
Detection of Anomalies and Explanation in Cybersecurity
Depth from Defocus via Discriminative Metric Learning
Online Multi-label Passive Aggressive Active Learning Algorithm Based on Binary Relevance
Differential Private (Random) Decision Tree Without Adding Noise
Dynamic Control of Storage Bandwidth Using Double Deep Recurrent Q-Network
Storage and Recall of Spatio-Temporal Sequences Using Any Multi-Associative Neural Networks
A New Measurement of Complexity for Studying EEG Mutual Information
Differentiable Topics Guided New Paper Recommendation
Synthetic Test Data Generation for Hierarchical Graph Clustering Methods
Improving Multilingual Speech Recognition with Tucker-Compressed Mixture of LoRAs
Super Resolution of Text Image by Pruning Outlier
EnerPlan: Smart Energy Management Planning for Home Users
Brain Tumor Segmentation from Multi-spectral MR Image Data Using Random Forest Classifier
Joint Routing and Bitrate Adjustment for DASH Video via Neuro-Dynamic Programming in SDN
Multi-scale Region Proposal Network Trained by Multi-domain Learning for Visual Object Tracking
A Single Neuron Model for Pattern Classification
EIFNet: Leveraging Event-Image Fusion for Robust Semantic Segmentation
Self-Paced Multi-Task Multi-View Capped-norm Clustering
Correlating Open Rating Systems and Event Extraction from Text
Neuron's Spikes Noise Level Classification Using Hidden Markov Models
Metabolite Named Entity Recognition: A Hybrid Approach
A Formal Model of an Artificial Neural Network Used to Store and Recognize the Semantics of Some Sentences of Natural Language
Uncertainty in Mineral Prospectivity Prediction
From Biologically Realistic Imitation to Robot Teaching Via Human Motor Learning
Recurrent Neural Networks as Local Models for Time Series Prediction
Non-uniform Layered Clustering for Ensemble Classifier Generation and Optimality
Context-Adapted Multi-policy Ensemble Method for Generalization in Reinforcement Learning
List Recommendation via Co-attentive User Preference Fine-Tuning
Using Neural Networks for Sales Forecasting: A Comparison of Methods
A No-Reference Perception Based Metric for Detection of Packet Loss Induced Artifacts in Videos
Eye Can Tell: On the Correlation Between Eye Movement and Phishing Identification
An Efficient Algorithm for Complex-Valued Neural Networks Through Training Input Weights
A Bio Inspired Fuzzy K-Modes Clustring Algorithm
Modeling Manifold Ways of Scene Perception
Integrating Policy Reuse with Learning from Demonstrations for Knowledge Transfer in Deep Reinforcement Learning
Generating Random Parameters in Feedforward Neural Networks with Random Hidden Nodes: Drawbacks of the Standard Method and How to Improve It
Exploring Early Classification Strategies of Streaming Data with Delayed Attributes
Pretests for Genetic-Programming Evolved Trading Programs: "zero-intelligence" Strategies and Lottery Trading
Multimodal Feature Learning for Gait Biometric Based Human Identity Recognition
MVFAN: Multi-view Feature Assisted Network for 4D Radar Object Detection
A Proposal of Malware Distinction Method Based on Scan Patterns Using Spectrum Analysis
New Default Box Strategy of SSD for Small Target Detection
Commissioning Random Matrix Theory and Synthetic Minority Oversampling Technique for Power System Faults Detection and Classification
Bark Classification Based on Gabor Filter Features Using RBPNN Neural Network
An On-Line Learning Algorithm with Dimension Selection Using Minimal Hyper Basis Function Networks
Wavelet Transform Based Consonant - Vowel (CV) Classification Using Support Vector Machines
Integrating Topic Information into VAE for Text Semantic Similarity
Stereo Map Surface Calculus Optimization Using Radial Basis Functions Neural Network Interpolation
Image Segmentation Using Graph Cuts Based on Maximum-Flow Neural Network
Evolving an Optimal Decision Template for Combining Classifiers
Ontology-based Information Extraction for Residential Land Use Suitability: A Case Study of the City of Regina, Canada
Emoji-Based Co-Attention Network for Microblog Sentiment Analysis
MC-DCNN: Dilated Convolutional Neural Network for Computing Stereo Matching Cost
A Median Variant of Generalized Learning Vector Quantization
Two-Phase Transmission Map Estimation for Robust Image Dehazing
Learning Hierarchical Bayesian Networks for Large-Scale Data Analysis
Probabilistic Prediction in Multiclass Classification Derived for Flexible Text-Prompted Speaker Verification
Zero-Shot Learning with Superclasses
ARPPS: Augmented Reality Pipeline Prospect System
Predicting Mobile Subscriber's Behaviour from Contextual Information Extraction: SMS Data