yusuke1997/dblp-id-title huggingface dataset:
Robust Visual Tracking via Occlusion Detection Based on Depth-Layer Information
Deep Learning-Based Human Action Recognition Framework to Assess Children on the Risk of Autism or Developmental Delays
A Statistical Approach for Learning Invariants: Application to Image Color Correction and Learning Invariants to Illumination
Amortized Variational Inference via Nosé-Hoover Thermostat Hamiltonian Monte Carlo
Dynamic Neural Language Models
Tri-Transformer Hawkes Process: Three Heads are Better Than One
Euler Recurrent Neural Network: Tracking the Input Contribution to Prediction on Sequential Data
Trading Optimally Diversified Portfolios in Emerging Markets with Neuro-Particle Swarm Optimisation
A Random Key Genetic Algorithm for Live Migration of Multiple Virtual Machines in Data Centers
Enhance Radar Point Cloud with 2D Diffusion
Real-Time Probabilistic Approach for Traffic Prediction on IoT Data Streams
Feature Learning and Transfer Performance Prediction for Video Reinforcement Learning Tasks via a Siamese Convolutional Neural Network
Least Cost Rumor Influence Minimization in Multiplex Social Networks
Identifying Tobacco Control Policy Drivers: A Neural Network Approach
Geometry vs. Appearance for Discriminating between Posed and Spontaneous Emotions
RMPE:Reducing Residual Membrane Potential Error for Enabling High-Accuracy and Ultra-low-latency Spiking Neural Networks
Active Object Estimation for Human-Robot Collaborative Tasks
Fast Growing Self Organizing Map for Text Clustering
Zero-Crossings with the Precedence Effect for Sound Source Localization in Reverberant Conditions
Evolutionary Learning Program's Behavior in Neural Networks for Anomaly Detection
A Novel Visual-Enhanced Dual Stream Long-Term Decision Framework for Large Language Model Agents
Efficient Prompt Tuning for Vision and Language Models
Range Image Registration Using Particle Filter and Competitive Associative Nets
Fast Kohonen Feature Map Associative Memory Using Area Representation for Sequential Analog Patterns
Classification and Prediction of Lower Troposphere Layers Influence on RF Propagation Using Artificial Neural Networks
Cleora: A Simple, Strong and Scalable Graph Embedding Scheme
Using Hidden Markov Model to Predict Human Actions with Swarm Intelligence
An Application of ISI Reconstruction to Sensory Neurons of Crickets
Image Classification Based on Weighted Topics
Bi-directional LSTM Recurrent Neural Network for Chinese Word Segmentation
Semantic Activation and Cortical Areas Related to the Lexical Ambiguity and Idiomatic Ambiguity
Occlusion Detection in Visual Tracking: A New Framework and A New Benchmark
MCRN: A New Content-Based Music Classification and Recommendation Network
A Classification-Based Approach for Retake and Scene Detection in Rushes Video
Paraphrase Identification with Neural Elaboration Relation Learning
Dual Convolutional Neural Networks for Hyperspectral Satellite Images Classification (DCNN-HSI)
Synchrony with Depressive Synapses under Temporally-Fluctuating Stimulus Spikes
Auxiliary Network: Scalable and Agile Online Learning for Dynamic System with Inconsistently Available Inputs
Gender-Specific Classifiers in Phoneme Recognition and Academic Emotion Detection
Intrusion Detection Using Temporal Convolutional Networks
A Neuro-Fuzzy Approach for the Sensor-Based Driving Situation Identification
HierFormer: A Multi-scale Attention Model for Ship Trajectory Prediction
Identifying Association between Longer Itemsets and Software Defects
Fissionable Deep Neural Network
Modularity Segmentation
An Event-Driven Computational System with Spiking Neurons for Object Recognition
Representation of Local Figure-Ground by a Group of V4 Cells
Transfer Components Between Subjects for EEG-based Driving Fatigue Detection
ProFetch: Accelerate Deep Recommendation System Training with Proactively Designed Data Layout and Dynamic Prefetching
LHRM: A LBS Based Heterogeneous Relations Model for User Cold Start Recommendation in Online Travel Platform
Optimizing CNNs with Gram Schmidt Non-iterative Learning for Image Recognition
Nonlinear Nearest Subspace Classifier
Utilizing Symbolic Representation in Synergistic Neural Networks Classifier of Control Chart Patterns
BPMCF: Behavior Preference Mapping Collaborative Filtering for Multi-behavior Recommendation
Subspace Echo State Network for Multivariate Time Series Prediction
Logit Distillation via Student Diversity
A Semantic SLAM Model for Autonomous Mobile Robots Using Content Based Image Retrieval Techniques
Lateral Inhibition Model Taken Account of the Duality of Receptive Fields and Its Behavior for RGB Inputs
Figure-Ground Separation from Motion-Subjective Contour and Front Dynamics
A Simple Spiking Neuron with Periodic Input: Basic Bifurcation and Encoding Function
A Study on the Influence of Intermediate Surface Structure in Depth Perception with Binocular Viewing
An Extended TopoART Network for the Stable On-line Learning of Regression Functions
Determining Effective Connectivity from FMRI Data Using a Gaussian Dynamic Bayesian Network
Statistical Prior Based Deformable Models for People Detection and Tracking
Multitask Learning Based on Constrained Hierarchical Attention Network for Multi-aspect Sentiment Classification
Barin-Style Information Processing in the Next Century - Pro & Con in Supervised versus Unsupervised Learnings
DNS-Based Defense against IP Spoofing Attacks
Safety Issues Investigation in Deep Learning Based Chatbots Answers to Medical Advice Requests
DMCM: A Deep Multi-Channel Model for Dynamic Movie Recommendation
Incremental Matrix Reordering for Similarity-Based Dynamic Data Sets
The Theory of Multi-Stage Integration in the Visual Brain
LogMoE: Optimizing Mixture of Experts for Log Anomaly Detection via Knowledge Distillation
Decentralized Force/Position Fault-Tolerant Control for Constrained Reconfigurable Manipulators with Actuator Faults
Layer-Wise Training to Create Efficient Convolutional Neural Networks
Neural Correlate for the Perception of Two-Directional Transparent Visual Flow
FH-GAN: Face Hallucination and Recognition Using Generative Adversarial Network
Enhancing Prompting with Deep Understanding and Extended Reasoning for Solving Mathematical Problems
Learning Dynamical Systems by Neural Networks
Improving Generalization Capability of Extreme Learning Machine with Synthetic Instances Generation
Stable Training Method for Echo State Networks Running in Closed-Loop Based on Particle Swarm Optimization Algorithm
EEG-Based Classification of Brain Activity for Brightness Stimuli
Robust Speech Recognition in Telephone Network
Data Augment in Imbalanced Learning Based on Generative Adversarial Networks
Robust Stability of Fuzzy Cohen-Grossberg Neural Networks with Delays
Blind Source Separation System Using Stochastic Arithmetic on FPGA
Learning to Match Features with Geometry-Aware Pooling
A Novel Machine Learning Model Using CNN-LSTM Parallel Networks for Predicting Ship Fuel Consumption
Level Set Based Online Visual Tracking via Convolutional Neural Network
A Thermodynamical Search Algorithm for Feature Subset Selection
Random Neural Graph Generation with Structure Evolution
Part-Boundary-Aware Networks for Surgical Instrument Parsing
Cognitive Representation and Bayeisan Model of Spatial Object Contexts for Robot Localization
Blind Image Separation Using Nonnegative Matrix Factorization with Gibbs Smoothing
Critical Feature Sifting and Dynamic Aggregation for Anomalous Audio Sequence Detection
An Adaptive Local Search Based Genetic Algorithm for Solving Multi-objective Facility Layout Problem
Interpretable Anomaly Detection in a Hippocampal Formation-Inspired Spatial Cognition Model
Remote Sensing Image Fusion Based on Adaptive RBF Neural Network
Implementing Learning on the SpiNNaker Universal Neural Chip Multiprocessor
Decomposition and Parallel Learning of Imbalanced Classification Problems by Min-Max Modular Neural Network
Supervised Independent Component Analysis with Class Information
The Improved Initialization Method of Genetic Algorithm for Solving the Optimization Problem
A Region Descriptive Pre-training Approach with Self-attention Towards Visual Question Answering
Convolutional Associative Memory: FIR Filter Model of Synapse
A New SOM Algorithm for Electricity Load Forecasting
An Improved Genetic Algorithm for DNA Motif Discovery with Public Domain Information
Deep Collaborative Filtering Combined with High-Level Feature Generation on Latent Factor Model
Cross-Entropy Loss of Approximated Deep Neural Networks
A Fusion Neural Network for Estimation of Blasting Vibration
Using Long and Short Term Memories in Solving Optimization Problems
A Tongue-Machine Interface: Detection of Tongue Positions by Glossokinetic Potentials
Ego Networks
Customizable GAN: Customizable Image Synthesis Based on Adversarial Learning
Staged Long Text Generation with Progressive Task-Oriented Prompts
Dynamics of the Hippocampus: Multiple Strategies
Missing Glow Phenomenon: Learning Disentangled Representation of Missing Data
A Possibilistic Density Based Clustering for Discovering Clusters of Arbitrary Shapes and Densities in High Dimensional Data
Parameter Analysis for Removing the Local Minima of Combinatorial Optimization Problems by Using the Inverse Function Delayed Neural Network
Dual-Band Maritime Ship Classification Based on Multi-layer Convolutional Features and Bayesian Decision
Neural-Symbolic Reasoning with External Knowledge for Machine Reading Comprehension
Parallelizable Simple Recurrent Units with Hierarchical Memory
A Motion Detection Model Inspired by Hippocampal Function and Its FPGA Implementation
Task Scheduling with Improved Particle Swarm Optimization in Cloud Data Center
SLG-NET: Subgraph Neural Network with Local-Global Braingraph Feature Extraction Modules and a Novel Subgraph Generation Algorithm for Automated Identification of Major Depressive Disorder
Enhanced Metric Learning via Dempster-Shafer Evidence Theory
Design of Collective Housing Based on Airflow and Geometric Forms
Neural Network Including Alternative Pre-processing for Electroencephalogram by Transposed Convolution
Motor Imagery Data Classification for BCI Application Using Wavelet Packet Feature Extraction
U-Net Neural Network Optimization Method Based on Deconvolution Algorithm
Knowledge-Dependent Perceptual Grouping
Dual Cross Fusion Deep-Unfolding Transformer for Hyperspectral Image Reconstruction
A Linear Online Guided Policy Search Algorithm
A Heuristic Data Mining Framework Towards Dynamic Data of Social Media
B-DCGAN: Evaluation of Binarized DCGAN for FPGA
Investigating a Dictionary-Based Non-negative Matrix Factorization in Superimposed Digits Classification Tasks
Improving Boosting Methods by Generating Specific Training and Validation Sets
Online Tracking with Convolutional Neural Networks
Semi-supervised Learning of Dynamic Self-Organising Maps
Information Geometry of Interspike Intervals in Spiking Neurons with Refractories
Multifractal Analysis of Intracranial EEG in Epilepticus Rats
An Improved NSGA-II for UAV Path Planning
Evolutionary Computation for Berth Allocation Problems: A Survey
IEEG-CT: A CNN and Transformer Based Method for Intracranial EEG Signal Classification
Parallel Support Vector Configuration for Identification of Fast Independent Components in Morphological Patterns Derived by Cardiovasographic Analysis on the Radial Pulse
Deep Feature Learning and Visualization for EEG Recording Using Autoencoders
Stochastic Decision Making in Learning Classifier Systems through a Natural Policy Gradient Method
Cross-domain Recommendation with Probabilistic Knowledge Transfer
Online Multi-objective Subspace Clustering for Streaming Data
A Visual Feature Detection Algorithm Inspired by Spatio-Temporal Properties of Visual Neurons
Layer Removal for Transfer Learning with Deep Convolutional Neural Networks
Neural Mechanism for Elimination of Negative Effect Arising from Fish's Own Motion on Electrolocation
Novelty Detection Using Self-Organizing Maps
Texture Analysis Based Automated Decision Support System for Classification of Skin Cancer Using SA-SVM
Tailgating Enforcement based on Back-Tracking in Intersection
Online Learning: Searching for the Best Forgetting Strategy under Concept Drift
Adaptive Ensemble Learning Strategy Using an Assistant Classifier for Large-Scale Imbalanced Patent Categorization
Vague Neural Network Based Reinforcement Learning Control System for Inverted Pendulum
A New Hybrid Feature Selection Algorithm Applied to Driver's Status Detection
A Predictive Map Model of Place Cells Learned from Grid Cell Activity in Continuous Spatial Environments
Variational Bayesian Method for Temporally Correlated Source Separation
Multi-modal Code Summarization Fusing Local API Dependency Graph and AST
Top-N Recommendation in P2P Lending: A Hybrid Graph Ranking Using Investor Profile
Faster Log Analysis and Integration of Security Incidents Using Knuth-Bendix Completion
Self-organized Path Constraint Neural Network: Structure and Algorithm
A General Relation among Power Spectral Values of the Human Spontaneous EEG
A Boolean Neural Network as a Rule Based System Learning New Rules by Examples
Rule Extraction Framework Using Rough Sets and Neural Networks
A Randomized Algorithm for Prediction Interval Using RVFL Networks Ensemble
The Brain's Sequential Parallelism: Perceptual Decision-Making and Early Sensory Responses
Dual Channel Graph Neural Network Enhanced by External Affective Knowledge for Aspect Level Sentiment Analysis
Intrusion Alert Analysis Based on PCA and the LVQ Neural Network
Fuzzy Decision Tree Induction Approach for Mining Fuzzy Association Rules
Wide Ensemble of Interpretable TSK Fuzzy Classifiers with Application to Smartphone Sensor-Based Human Activity Recognition
Unsupervised Ensemble Learning Based on Graph Embedding for Image Clustering
A Genetic Feature Selection Based Two-Stream Neural Network for Anger Veracity Recognition
An Agent-Based Market Simulator for Back-Testing Deep Reinforcement Learning Based Trade Execution Strategies
Sensor Drift Compensation Using Robust Classification Method
Interactive Hierarchical SOM for Image Retrieval Visualization
NeuCubeRehab: A Pilot Study for EEG Classification in Rehabilitation Practice Based on Spiking Neural Networks
An Algorithm Based on the Construction of Braun's Cathode Ray Tube as a Novel Technique for Data Classification
Decentralized Extension for Centralized Multi-Agent Reinforcement Learning via Online Distillation
Auto-Encoder Based Model for High-Dimensional Imbalanced Industrial Data
SuperConv: Strengthening the Convolution Kernel via Weight Sharing
Reinforcement Label Propagation Algorithm Based on History Record
Joint Optic Disc and Optic Cup Segmentation Based on New Skip-Link Attention Guidance Network and Polar Transformation
Proposal of Online Regularization for Dynamical Structure Optimization in Complex-Valued Neural Networks
Learning with Incrementality
Introducing Multi-modality in Persuasive Task Oriented Virtual Sales Agent
Holistic Processing Is Not Always a Property of Right Hemisphere Processing- Evidence from Computational Modeling of Face Recognition
Concept Drift Detection Based on Anomaly Analysis
Estimating Neural Firing Rates: An Empirical Bayes Approach
How Do Native and Non-native Listeners Differ? Investigation with Dominant Frequency Bands in Auditory Evoked Potential
Modular Scale-Free Function Subnetworks in Auditory Areas
Genetic Algorithm for Optimal Imperceptibility in Image Communication Through Noisy Channel
Simultaneous Pattern and Variable Weighting during Topological Clustering
A New Approach to Automatic Heat Detection of Cattle in Video
Many Is Better Than One: Multiple Covariation Learning for Latent Multiview Representation
Phishing Scam Detection for Ethereum Based on Community Enhanced Graph Convolutional Networks
Adaptive Control Design for Linear Time Varying Systems
A New Gradient Descent Based Self-Generating Fuzzy Algorithm Using the Partition of Fuzzy Input Space
Image Dehazing Algorithm Based on Atmosphere Scatters Approximation Model
Modified Particle Swarm Optimization for Pattern Clustering
Office Employees Authentication Based on E-exam Techniques
Improve Deep Learning with Unsupervised Objective
Wiper Arm Recognition Using YOLOv4
LCformer: Linear Convolutional Decomposed Transformer for Long-Term Series Forecasting
An Online Handwritten Numerals Segmentation Algorithm Based on Spectral Clustering
An Efficient Unsupervised Mixture Model for Image Segmentation
Improvement of Texture Clustering Performance in Complex-Valued SOM by Using Complex-Valued Auto-encoder for Millimeter-Wave Coherent Imaging
Multi-Attention Network for Arbitrary Style Transfer
Hybrid HMM-NN Modeling of Stationary-Transitional Units for Continuous Speech Recognition
Three-Means Ternary Quantization
A Novel Condition for Robust Stability of Delayed Neural Networks
Asymmetric Language-Aware Feature Learning for Low-Resource Cross-Lingual Image Caption
Speaker Verification with Disentangled Self-attention
Deep Candlestick Mining
FLAGUS: Feedback-Driven Learning with GAN-Augmented Data for Enhanced Anomaly Detection via Uncertainty Sampling
Domain Generalization via Implicit Domain Augmentation
Feature Reconstruction Distillation with Self-attention
SDMOGA: A New Multi-objective Genetic Algorithm Based on Objective Space Divided
Differential Evolution Memetic Document Clustering Using Chaotic Logistic Local Search
A Novel Interaction Convolutional Network Based on Dependency Trees for Aspect-Level Sentiment Analysis
Feature Redirection Network for Few-Shot Classification
From e-Learning to m-Learning: Context-Aware CBR System
Self-Reinforcing Feedback Domain Adaptation Channel
Extended Simulated Annealing Algorithm Based on Grand Canonical Ensemble
Towards a Reliable Evaluation Framework for Message Authentication in Web-Based Transactions Based on an Improved Computational Intelligence and Dynamical Systems Methodology
Region-Based Face Alignment with Convolution Neural Network Cascade
A New Simultaneous Two-Levels Coclustering Algorithm for Behavioural Data-Mining
Brain-Inspired Emergence of Behaviors Based on the Desire for Existence by Reinforcement Learning
Exploiting Level-Wise Category Links for Semantic Relatedness Computing
Role of Gestalt Principles in Selecting Attention Areas for Object Recognition
Adaptive Computer Game System Using Artificial Neural Networks
Asynchronous Methods for Multi-agent Deep Deterministic Policy Gradient
Improving Text Representation for Disease Detection from Social Media via Self-augmentation and Contrastive Learning
Multi Objective Particle Swarm Optimization Based Cooperative Agents with Automated Negotiation
The Iso-regularization Descent Algorithm for the LASSO
Iterative Evolutionary Subspace Clustering
Characterizing the Spontaneous Activity in Developing Networks of Cultured Rat Cortical Neurons
AARR-Net: An Attention Assistance Feature Fusion and Model Recursive Recovery Network for Category-Level 6D Object Pose Estimation
Deep Residual-Dense Attention Network for Image Super-Resolution
Canonical Duality Theory and Algorithm for Solving Challenging Problems in Network Optimisation
A Sentence Similarity Model Based on Word Embeddings and Dependency Syntax-Tree
Harnessing of Chaotic Dynamics for Solving Combinatorial Optimization Problems
Real-Time Action Recognition in Surveillance Videos Using ConvNets
Anthropometric Features Based Gait Pattern Prediction Using Random Forest for Patient-Specific Gait Training
Remaining Useful Life Prediction of Control Moment Gyro in Orbiting Spacecraft Based on Variational Autoencoder
Kalman Filtering Design for Nonlinear Systems with Parametric Uncertainties
Leveraging LLMs to Enhance NLP Performance Through Distillation and Optimized Training Strategies
Mixture of Matrix Normal Distributions for Color Image Inpainting
Palmprint Recognition Based on Local DCT Feature Extraction
Co-clustering under Nonnegative Matrix Tri-Factorization
Autonomus Navigation of Mobile Robots using Neural Nets with Single Sided Reflex
Analysis of Evolutionary Fuzzy Controller for a Mobile Robot
A Bidirectional Method for Recognising and Attaining Optimal Noisy Fits
On the Unreasonable Effectiveness of Centroids in Image Retrieval
Feature Selection for HOG Descriptor Based on Greedy Algorithm
PGSTalker: Real-Time Audio-Driven Talking Head Generation via 3D Gaussian Splatting with Pixel-Aware Density Control
Effi-Seg: Rethinking EfficientNet Architecture for Real-Time Semantic Segmentation
Extended Particle Swarm Optimiser with Adaptive Acceleration Coefficients and Its Application in Nonlinear Blind Source Separation
Neuronal Classifier for both Rate and Timing-Based Spike Patterns
Learning Latent Features with Infinite Non-negative Binary Matrix Tri-factorization
Robust Local Tangent Space Alignment
Adaptive Region Growing Based on Boundary Measures
Deep Neural Network Architecture for Low-Dimensional Embedding and Classification of Cosmic Ray Images Obtained from CMOS Cameras
Resolving Hidden Representations
Tamil Handwriting Recognition Using Subspace and DTW Based Classifiers
A New Constructive Algorithm for Designing and Training Artificial Neural Networks
An Implicit Learning Approach for Solving the Nurse Scheduling Problem
Fuzzy Radial Basis Function Network
Adaptive Population-Based Incremental Learning for Feature Selection in Leukemia Gene Expression Data
Improving the Identification of Code Smells by Combining Structural and Semantic Information
Prediction of Arm Trajectory from the Neural Activities of the Primary Motor Cortex Using a Modular Artificial Neural Network Model
Model Studies on Time-Scaled Phase Response Curves and Synchronization Transition
Text Categorization Using an Automatically Generated Labelled Dataset: An Evaluation Study
Biophysical Simulation of the Effects of Transcranial Magnetic Stimulation (TMS) on a Cortical Column
Intelligent University Library Information Systems to Support Students Efficient Learning
Event-Driven Surveillance Video Moment Retrieval with Foreground Enhancement
Graph Pointer Network and Reinforcement Learning for Thinnest Path Problem
Evolving Deep Neural Networks for Collaborative Filtering
Analysis of Dynamics of Cultured Neuronal Networks Using I&F Model
A Medical Image Steganography Scheme with High Embedding Capacity to Solve Falling-Off Boundary Problem Using Pixel Value Difference Method
Gaussian Process Kernels for Noisy Time Series: Application to Housing Price Prediction
EEG-Based Sleep Quality Evaluation with Deep Transfer Learning
A Feature Pyramid Fusion Network Based on Dynamic Perception Transformer for Retinal OCT Biomarker Image Segmentation
CaDT-Net: A Cascaded Deformable Transformer Network for Multiclass Breast Cancer Histopathological Image Classification
Ten-Quarter Projection for Spanish Central Government Debt via WASD Neuronet
Content-Based 3D Graphic Information Retrieval
Neural Information Processing - 30th International Conference, ICONIP 2023, Changsha, China, November 20-23, 2023, Proceedings, Part XII
A Time-Frequency Feature Fusion Approach to Silent Speech Signal Recognition
Quantile Regression Hindsight Experience Replay
An Unsupervised Short- and Long-Term Mask Representation for Multivariate Time Series Anomaly Detection
The Evolutionary Process of Image Transition in Conjunction with Box and Strip Mutation
Double Impulse Solutions in Reduced Hodgkin-Huxley Models
Deep Retinal Image Segmentation: A FCN-Based Architecture with Short and Long Skip Connections for Retinal Image Segmentation
A Novel Hardware-Efficient CPG Model Based on Nonlinear Dynamics of Asynchronous Cellular Automaton
RAFNI: Robust Analysis of Functional NeuroImages with Non-normal α-Stable Error
Soft Analyzer Modeling for Dearomatization Unit Using KPCR with Online Eigenspace Decomposition
A Study of the ART1 Classification Method without Depending on the Presentation Order of Patterns
Image Segmentation with Pyramid Dilated Convolution Based on ResNet and U-Net
Towards the Development of a Machine Learning-Based Action Recognition Model to Support Positive Behavioural Outcomes in Students with Autism
Ranking Region-Based OD-Betweenness Centrality in Road Networks
The Adaptive Authentication System for Behavior Biometrics Using Pareto Learning Self Organizing Maps