yusuke1997/dblp-id-title huggingface dataset:
A Genetic Approach to Optimizing the Values of Parameters in Reinforcement Learning for Navigation of a Mobile Robot
Knowledge Graph Based Question Routing for Community Question Answering
A Three-Stage Framework for Event-Event Relation Extraction with Large Language Model
Poisson Image Denoising Based on BLS-GSM Method
Selecting, Optimizing and Fusing 'Salient' Gabor Features for Facial Expression Recognition
MEFaceNets: Muti-scale Efficient CNNs for Real-Time Face Recognition on Embedded Devices
Variational Information Maximization for Neural Coding
Curve Enhancement: A No-Reference Method for Low-Light Image Enhancement
Adaptive Multiplicative Updates for Projective Nonnegative Matrix Factorization
Multi-Task Feature Self-Distillation for Semi-Supervised Machine Translation
A Framework of a Route Optimization Scheme for Nested Mobile Network
News Title Classification with Support from Auxiliary Long Texts
Prediction of Stroke Using Deep Learning Model
Accuracy Improvement of Localization and Mapping of ICP-SLAM via Competitive Associative Nets and Leave-One-Out Cross-Validation
Comparison of Complex- and Real-Valued Feedforward Neural Networks in Their Generalization Ability
Multi-scale Object Detection in Optical Remote Sensing Images Using Atrous Feature Pyramid Network
Morph-CNN: A Morphological Convolutional Neural Network for Image Classification
Polynomial Time Algorithm for Learning Globally Optimal Dynamic Bayesian Network
CRAFT: Consistent Representational Fusion of Three Molecular Modalities
Skull-Closed Autonomous Development
ADV-POST: Physically Realistic Adversarial Poster for Attacking Semantic Segmentation Models in Autonomous Driving
Similar-Video Retrieval via Learned Exemplars and Time-Warped Alignment
AeerBERT: Recognizing Atypical Emotions in Bullet Comment
Text-Based Person re-ID by Saliency Mask and Dynamic Label Smoothing
Info-Detection: An Information-Theoretic Approach to Detect Outlier
Identify Vulnerability Types: A Cross-Project Multiclass Vulnerability Classification System Based on Deep Domain Adaptation
Neuron-Network Level Problem Decomposition Method for Cooperative Coevolution of Recurrent Networks for Time Series Prediction
Memetic Genetic Algorithms for Time Series Compression by Piecewise Linear Approximation
EEG-Based Phase-Amplitude Coupling in Computational Modeling During Audiovisual Bistable Perception
Towards a Compact and Effective Representation for Datasets with Inhomogeneous Clusters
A Biologically Inspired Model for Occluded Patterns
The Effect of Bottlenecks on Generalisation in Backpropagation Neural Networks
Error Heuristic Based Text-Only Error Correction Method for Automatic Speech Recognition
NCSV: A Multimodal Benchmark for Negative Chinese Short Video Detection with Social Context
Efficient Integer Vector Homomorphic Encryption Using Deep Learning for Neural Networks
Neural Networks for Dimensionality Reduction
Short Text Hashing Improved by Integrating Topic Features and Tags
Aspect-Based Sentiment Analysis Using Graph Convolutional Networks and Co-attention Mechanism
A Graph Convolution Neural Network for User-Group Aided Personalized Session-Based Recommendation
A Fast Directed Tree Based Neighborhood Clustering Algorithm for Image Segmentation
A Novel Neural Network for Solving Singular Nonlinear Convex Optimization Problems
Prediction Model of Breast Cancer Based on mRMR Feature Selection
BERT Based Hierarchical Sequence Classification for Context-Aware Microblog Sentiment Analysis
A Multi-interaction Model with Cross-Branch Feature Fusion for Video-Text Retrieval
Short-Long Correlation Based Graph Neural Networks for Residential Load Forecasting
Recognition of Human's Implicit Intention Based on an Eyeball Movement Pattern Analysis
Attend to Your Review: A Deep Neural Network to Extract Aspects from Peer Reviews
Unified Kernel Function and Its Training Method for SVM
Multi-view Contrastive Learning for Knowledge-Aware Recommendation
Central Pattern Generator Based on Interstitial Cell Models Made from Bursting Neuron Models
Computational Model of Neocortical Learning Process: Prototype
Improving the Efficiency of Spiking Network Learning
Neural Information Processing, 16th International Conference, ICONIP 2009, Bangkok, Thailand, December 1-5, 2009, Proceedings, Part II
BFTracker: A One-Shot Baseline Model with Fusion Similarity Algorithm Towards Real-Time Multi-object Tracking
Using a Two-Stage GAN to Learn Image Degradation for Image Super-Resolution
A Neural Network Model of Visual Object Recognition Impairments after Brain Damage
Asymptotic Behavior of Stochastic Complexity of Complete Bipartite Graph-Type Boltzmann Machines
Weber's Law Based Center-Surround Hypothesis for Bottom-Up Saliency Detection
Influence of Dendritic Spine Morphology on Spatiotemporal Change of Calcium/Calmoduline-Dependent Protein Kinase Density
Neural Information Processing - 30th International Conference, ICONIP 2023, Changsha, China, November 20-23, 2023, Proceedings, Part V
Non-negative Matrix Factorization with Schatten p-norms Reguralization
Motor Priming as a Brain-Computer Interface
Tracking in Reinforcement Learning
Multiobjective Genetic Search for Spanning Tree Problem
Robust LS-QSVM Implementation via Efficient Matrix Factorization and Eigenvalue Estimation
Generative Moment Matching Autoencoder with Perceptual Loss
A System Model for Real-Time Sensorimotor Processing in Brain
Steady State Visual Evoked Potentials in the Delta Range (0.5-5 Hz)
Unsupervised Feature Selection Based on Matrix Factorization with Redundancy Minimization
Towards Soft Computing Approaches for Formulating Viable Service Level Agreements in Cloud
A Bootstrap-Based Learning with the Cross Validation
The Bifurcating Neuron Network 3 as Coloring Problem Solver and N-Ary Associative Memory
Learning of Go Board State Evaluation Function by Artificial Neural Network
A Weighted FMM Neural Network and Its Application to Face Detection
Social-CVAE: Pedestrian Trajectory Prediction Using Conditional Variational Auto-Encoder
Real-Time Financial Data Prediction Using Meta-cognitive Recurrent Kernel Online Sequential Extreme Learning Machine
Learning of Phase-Amplitude-Type Complex-Valued Neural Networks with Application to Signal Coherence
A New Energy Model for the Hidden Markov Random Fields
Deep Autoencoder on Personalized Facet Selection
Logistic Label Propagation for Semi-supervised Learning
Cognitive Modeling of Dilution Effects in Visual Search
Data Augmentation with Variational Autoencoder for Imbalanced Dataset
Analysis on Dropout Regularization
Cost Reduction in Thyroid Diagnosis: A Hybrid Model with SOM and C4.5 Decision Trees
BPFNet: A Unified Framework for Bimodal Palmprint Alignment and Fusion
Performance Improvement via Bagging Competitive Associative Nets for Multiobjective Robust Controller Using Difference Signals
A Compliance Control Strategy for Minimizing Base Attitude Disturbance Using Variable Stiffness Joint Space Manipulator
An Adaptive Detector for Few Shot Object Detection
A Novel Constrained Genetic Algorithm for the Optimization of Active Bar Placement and Feedback Gains in Intelligent Truss Structures
An Asbestos Counting Method from Microscope Images of Building Materials Using Summation Kernel of Color and Shape
Discovering Inter-Attribute Relationships
Biometric Iris Identifier Recognition with Privacy Preserving Phenomenon: A Federated Learning Approach
Knowledge Extraction from Artificial Associative Memory for Helping Senile Dementia Patients
Flexible Reasoning of Boolean Constraints in Recurrent Neural Networks with Dual Representation
Multiclass Imbalanced Classification Using Fuzzy C-Mean and SMOTE with Fuzzy Support Vector Machine
Learning Class-Informed Semantic Similarity
Prediction of Hardness of Austempered Ductile Iron Using Enhanced Multilayer Perceptron Based on Chebyshev Expansion
Knowledge-Based Multiple Lightweight Attribute Networks for Zero-Shot Learning
FastThaiCaps: A Transformer Based Capsule Network for Hate Speech Detection in Thai Language
DTSAT-DRQN: A Novel DRQN-Enhanced Chaos Communication Strategy with Dual-TCN
Using Modern Neural Networks to Predict the Decisions of Supreme Court of the United States with State-of-the-Art Accuracy
A Comparative Study of Synchrony Measures for the Early Detection of Alzheimer's Disease Based on EEG
Development of Adaptive Fuzzy Based Multi-user Detection Receiver for DS-CDMA
Sparse Modeling of Nonlinear Dynamics in Heterogeneous Reactions
A Basilar Membrane Model Using Simulink for Hearing-Aid Systems
Zoomed Clusters
Balti-Tamko: A Spoken Words Dataset Development for Automatic Recognition of the Endangered Balti Language
A Study to Investigate Different EEG Reference Choices in Diagnosing Major Depressive Disorder
Improving Goal-Oriented Visual Dialogue by Asking Fewer Questions
Evolving Connectionist Systems for Adaptive Sport Coaching
Probabilistic Kernel Principal Component Analysis Through Time
A Novel Combination of Time Phase and EEG Frequency Components for SSVEP-Based BCI
Prediction of Molecular Packing Motifs in Organic Crystals by Neural Graph Fingerprints
RBPNET: An Asymptotic Residual Back-Projection Network for Super Resolution of Very Low Resolution Face Image
The Application of Neural Networks and Partial Least Squares in Korea Weather Prediction
Multi-agent Cooperation and Competition with Two-Level Attention Network
An Effective Approach for Automatic LV Segmentation Based on GMM and ASM
One-Epoch Learning for Supervised Information-Theoretic Competitive Learning
Wine Characterisation with Spectral Information and Predictive Artificial Intelligence
Towards Better Dermoscopic Image Feature Representation Learning for Melanoma Classification
SEIR Immune Strategy for Instance Weighted Naive Bayes Classification
An Interweaved Time Series Locally Connected Recurrent Neural Network Model on Crime Forecasting
Constructing Pseudo Documents with Semantic Similarity for Short Text Topic Discovery
Segmenting Moving Objects with a Recurrent Stochastic Neural Network
HDKI: A Hierarchical Deep Koopman Framework for Spatio-Temporal Prediction with Image Observations
Real-Time Prediction of the Unobserved States in Dopamine Neurons on a Reconfigurable FPGA Platform
Neural Networks Based System for the Supervision of Therapeutic Exercises
Simulating Wheat Yield in New South Wales of Australia Using Interpolation and Neural Networks
LCRPS: Large-Capacity Residual Plane Steganography Based on Multiple Adversarial Networks
Cross-Modality Visible-Infrared Person Re-Identification with Multi-scale Attention and Part Aggregation
Minimizing Makespan on Identical Parallel Machines Using Neural Networks
Knowledge-Based Segmentation of Spine and Ribs from Bone Scintigraphy
A Hybrid Pooling Method for Convolutional Neural Networks
Prior Image Transformation for Presbyopia Employing Serially-Cascaded Neural Network
Dynamic Data Augmentation via Monte-Carlo Tree Search for Prostate MRI Segmentation
Example-Specific Density Based Matching Kernel for Classification of Varying Length Patterns of Speech Using Support Vector Machines
Causality Analysis Between Soil of Different Depth Moisture and Precipitation in the United States
Prediction of Protein Interaction with Neural Network-Based Feature Association Rule Mining
CAS-IQA: Teaching Vision-Language Models for Synthetic Angiography Quality Assessment
Improvement of Practical Recurrent Learning Method and Application to a Pattern Classification Task
A Joint Representation Learning Approach for Social Media Tag Recommendation
Android Malware Detection Method Based on Function Call Graphs
Sentiment and Behavior Analysis of One Controversial American Individual on Twitter
Genetic Algorithm for Satellite Customer Assignment
Parameter Identification for a Class of Nonlinear Systems Based on ESN
Ionic Current Model of Rabbit Retinal Horizontal Cell
Growing Particle Swarm Optimizers with a Population-Dependent Parameter
Saccade Direction Information Channel
Off-Policy Reinforcement Learning for Partially Unknown Nonzero-Sum Games
Self and Non-self Discrimination Mechanism Based on Predictive Learning with Estimation of Uncertainty
Time Evaluation for WTA Hopfield Type Circuits Affected by Cross-Coupling Capacitances
Evolutionary Modularity Optimization Clustering of Neuronal Spike Trains
Retrieval of Patterns and Symbols Using Pattern-Symbol Network with Nonlinear Dynamics
Automatic Identification of Class Level Refactoring Using Abstract Syntax Tree and Embedding Technique
Classification of Imbalanced Data by Combining the Complementary Neural Network and SMOTE Algorithm
Class Information Adapted Kernel for Support Vector Machine
Making Neural Networks More Intelligible by Incorporating Prior Knowledge
A New Overvoltage Control Method Based on Active and Reactive Power Coupling
Secure Personnel Authentication Based on Multi-modal Biometrics Under Ubiquitous Environments
Multi-objective Clustering: A Data-Driven Analysis of MOCLE, MOCK and Δ-MOCK
Characteristics Improved by Noise in Pulse Neural Cell Model
Can an Alpha-Induced Stimulator Enhance a Memory Process in the Brain?
Advances in and Problems of the Implementation of Neural Algorithms on Specialized Hardware Platforms
A Hybrid Dynamic Multi-objective Immune Optimization Algorithm Using Prediction Strategy and Improved Differential Evolution Crossover Operator
Solvable Performances of Optimization Neural Networks with Chaotic Noise and Stochastic Noise with Negative Autocorrelation
A Morphological Neural Network Approach for Vehicle Detection from High Resolution Satellite Imagery
Estimation System for Human-Interest Degree while Watching TV Commercials Using EEG
An Emotional Face Evoked EEG Signal Recognition Method Based on Optimal EEG Feature and Electrodes Selection
TermitAnt: An Ant Clustering Algorithm Improved by Ideas from Termite Colonies
A Hybrid Blind Signal Separation Algorithm: Particle Swarm Optimization on Feed-Forward Neural Network
Analysis of Complex Systems Using the Self-Organizing Map
A Deep Matrix Factorization Method with Missing Not at Random Data for Social Recommendation
MEIG: An Interactive Attention-Based Generative Model for Multimodal Event Extraction
Improvement of Reuse of Classifiers in CBIR Using SVM Active Learning
Unconstrained Handwritten Numerals Recognition Using Line Features Extracted by DOG Filters
Learning with Incomplete Labels for Multi-label Image Annotation Using CNN and Restricted Boltzmann Machines
A Temporal Consistency Enhancement Algorithm Based on Pixel Flicker Correction
Design of Traffic Signal Controller Based on Network
Cross-Modal Memory Attention Network with Multi-view for Multimodal Rumor Detection
RST-DCA: A Dendritic Cell Algorithm Based on Rough Set Theory
BOOSTRON: Boosting Based Perceptron Learning
Denstity Level Aware Network for Crowd Counting
Feature Selection Using Sparse Twin Bounded Support Vector Machine
Learning Template in Dynamic Link Matching Neural Network
Learning Attacker's Bounded Rationality Model in Security Games
Minimum Variance Embedded Random Vector Functional Link Network
Global and Local Contrast Enhancement for Image by Genetic Algorithm and Wavelet Neural Network
Text Classification Using Lifelong Machine Learning
Detection of Retinal Vascular Bifurcation and Crossover Points in Optical Coherence Tomography Angiography Images Based on CenterNet
Self-supervised Compressed Video Action Recognition via Temporal-Consistent Sampling
Weighted Topological Clustering for Categorical Data
Multi-view Fractional Deep Canonical Correlation Analysis for Subspace Clustering
Regularized Deep Convolutional Neural Networks for Feature Extraction and Classification
Object Recognition Using Sparse Representation of Overcomplete Dictionary
Utilization of a Virtual Patient Model to Enable Tailored Therapy for Depressed Patients
Application of the Unusual Motion Detection Using CHLAC to the Video Surveillance
Transformer Based High-Frequency Predictive Model for Visual-Haptic Feedback of Virtual Surgery Navigation
Neural Mechanism of Synchronous Firing of Inferior Temporal Cortex in Face Perception
Approximation of Feature Vectors in Nonnegative Matrix Factorization with Gaussian Radial Basis Functions
Robust Iterative Hard Thresholding Algorithm for Fault Tolerant RBF Network
Characterisation of Cognitive Activity Using Minimum Connected Component
The Whole Brain Architecture Initiative
Feature Extraction for the Identification of Two-Class Mechanical Stability Test of Natural Rubber Latex
Context-Based Point Generation Network for Point Cloud Completion
Combining CNN and MIL to Assist Hotspot Segmentation in Bone Scintigraphy
ASGNet: Adaptive Semantic Gate Networks for Log-Based Anomaly Diagnosis
Multi-domain Feature Fusion Neural Network for Electrocardiogram Classification
Distributed State Estimation for Multi-agent Systems Under Consensus Control
RLDR-Pruning: Restricted Linear Dimensionality Reduction Approach for Model Compression
A Bit-Stream Pulse-Based Digital Neuron Model for Neural Networks
Collaborative Generative Topographic Mapping
Coordinate Attention Residual Deformable U-Net for Vessel Segmentation
End-to-End Multiple Object Tracking with Siamese Networks
Age Estimation from MR Images via 3D Convolutional Neural Network and Densely Connect
Local Tracking Control for Unknown Interconnected Systems via Neuro-Dynamic Programming
Identification of a Turbogenerator Using Dynamic Neural Networks
Preserving Privacy of Agents in Reinforcement Learning for Distributed Cognitive Radio Networks
Novelty Detection Using a New Group Outlier Factor
A Fuzzy ART-Based Approach for Estimation of High Performance Concrete Mix Proportion
How the Presence of Cognitive Biases in Phishing Emails Affects Human Decision-Making?
Employ Decision Values for Soft-Classifier Evaluation with Crispy References
Spark Deficient Gabor Frame Provides A Novel Analysis Operator For Compressed Sensing
Learning Stable Nonlinear Dynamical System from One Demonstration
Lateral Interactions Spiking Actor Network for Reinforcement Learning
Efficient Policy Generation in Multi-agent Systems via Hypergraph Neural Network
Comparison of Local Higher-Order Moment Kernel and Conventional Kernels in SVM for Texture Classification
Robust Stability of Stochastic Neural Networks with Interval Discrete and Distributed Delays
Communication with ALS Patients through EEG Attention Switching
Decision of Class Borders on Spherical SOM and Its Visualization
A Hybrid Heuristic for Scheduling a Hybrid Flowshop Maximum Completion Time Problem
Discrete Mother Tree Optimization for the Traveling Salesman Problem
Kernel Maximum a Posteriori Classification with Error Bound Analysis
A Numerical Simulation Study of Structural Damage Based on RBF Neural Network
Combining Fisheye Camera with Odometer for Autonomous Parking
Extraction of Fuzzy Features for Detecting Brain Activation from Functional MR Time-Series
DARIM: Dynamic Approach for Rumor Influence Minimization in Online Social Networks
A Telephone Number Corrector Using a Counterpropagation Network
Heterogeneous Multi-task Learning of Evaluation Functions for Chess and Shogi
Neurocognitive Approach to Clustering of PubMed Query Results
HRec: Heterogeneous Graph Embedding-Based Personalized Point-of-Interest Recommendation
LoTraNet: Locality-Guided Transformer Network for Image Manipulation Localization
SPMVP: Spatial PatchMatch Stereo with Virtual Pixel Aggregation
Logic Operation on an Excitable Field
Widely Linear Processing of Hypercomplex Signals
SumBART - An Improved BART Model for Abstractive Text Summarization
Minimizing Distortion in Steganography via Adaptive Language Model Tuning
An Effective Lazy Shapelet Discovery Algorithm for Time Series Classification
Self-organizing Digital Spike Interval Maps
Real-Time Epileptic Seizure Detection on Intra-cranial Rat Data Using Reservoir Computing
Joint Regularization Knowledge Distillation
Knowledge Distillation via Information Matching
SPPBench: A Comprehensive Sports Psychology Performance Benchmark for LLMs
An Asymptotic Equation Linking WAIC and WBIC in Singular Models
Correlation-Aware Change-Point Detection via Graph Neural Networks
Deep Reinforcement Learning with Comprehensive Reward for Stock Trading
Improved Gene Clustering Based on Particle Swarm Optimization, K-Means, and Cluster Matching
An Ultrasonic Image Recognition Method for Papillary Thyroid Carcinoma Based on Depth Convolution Neural Network
GraIS: Graph-Based Interpretable Network for Sepsis Mortality Prediction Using Multi-modal Electronic Health Records
Improving Shallow Neural Networks via Local and Global Normalization
Depth Perception of the Surfaces in Occluded Scenic Images
Thyroid Nodule Segmentation in Ultrasound Images Based on Cascaded Convolutional Neural Network
Deep Residual Local Feature Learning for Speech Emotion Recognition
A Hip-Knee Joint Coordination Evaluation System in Hemiplegic Individuals Based on Cyclogram Analysis
Q-Learning with Recurrent Neural Networks as a Controller for the Inverted Pendulum Problem
Efficient Pruning and Compression Techniques for Convolutional Neural Networks to Preserve Knowledge and Optimize Performance
A Robust Iris Segmentation with Fuzzy Supports
HMC-PSO: A Hamiltonian Monte Carlo and Particle Swarm Optimization-Based Optimizer
What Pushes Self-supervised Image Representations Away?
Progress of Unsupervised Learning of Early Vision
OMP or BP? A Comparison Study of Image Fusion Based on Joint Sparse Representation
Out-Of-Vocabulary Words Recognition Based on Conditional Random Field in Electronic Commerce
Deep Learning Based Strategy for Eye-to-Hand Robotic Tracking and Grabbing
A Symmetrical Model Applied to Interval-Valued Data Containing Outliers with Heavy-Tail Distribution
HPC Based Scalable Logarithmic Kernelized Fuzzy Clustering Algorithms for Handling Big Data
An Automatic Music Transcription Based on Translation of Spectrum and Sound Path Estimation
Detection of Deterministic Correlations between Two Pulse Trains
Multichannel Blind Deconvolution of Non-minimum Phase System Using Cascade Structure
Hyper-Parameter Tuning for Graph Kernels via Multiple Kernel Learning
Mixtures of Experts: As an Attempt to Integrate the Dual Route Cascaded and the Triangle Models for Reading English Words
A Novel Architecture for Capturing Discrete Sequences Using Self-organizing Maps
Depth Map Upsampler Using Common Edge Detection
Using Growing Neural Gas in Prototype Generation for Nearest Neighbor Classifiers
Stability Analysis of High-Order Analog Hopfield Neural Networks
Multimodal Named Entity Recognition via Co-attention-Based Method with Dynamic Visual Concept Expansion
A Swarm Optimization-Based Kmedoids Clustering Technique for Extracting Melanoma Cancer Features
Properties of Multiobjective Robust Controller Using Difference Signals and Multiple Competitive Associative Nets in Control of Linear Systems
RoadNetGAN: Generating Road Networks in Planar Graph Representation
Neural-Network Inverse Dynamic Online Learning Control on Physical Exoskeleton
Vision Supporting System for Car Driver using Neural Network
One-Dimensional Chaotic Neural Network with its Application to Information Processing and Secure Communication
Locality-Sensitive Linear Bandit Model for Online Social Recommendation
Use 3D Convolutional Neural Network to Inspect Solder Ball Defects
The Ability of Learning Algorithms for Fuzzy Inference Systems Using Vector Quantization
Topological Hierarchical Tree Using Artificial Ants
Botnet Detection Based on Non-negative Matrix Factorization and the MDL Principle
A Model of Motor Impairment After Stroke for Predicting Muscle Activation Patterns
Group Dropout Inspired by Ensemble Learning
Recurrent Neural Networks for Learning Mixed k th -Order Markov Chains
Gradient Boosting Forest: a Two-Stage Ensemble Method Enabling Federated Learning of GBDTs
Bidirectional LSTM with MFCC Feature Extraction for Sleep Arousal Detection in Multi-channel Signal Data
Data Clustering Based on Particle Swarm Optimization with Neighborhood Search and Cauchy Mutation
Stability of Periodic Orbits and Fault Tolerance in Dynamic Binary Neural Networks
Improvement of the Neural Network Trees through Fine-Tuning of the Threshold of Each Internal Node
Hierarchical Adaptive Position Encoding-Based Transformer for Point Cloud Analysis