yusuke1997/dblp-id-title huggingface dataset:
Benign and malignant mammographic image classification based on Convolutional Neural Networks
A highly efficient, confidential, and continuous federated learning backdoor attack strategy
3D Object Recognition Method Based on Point Cloud Sequential Coding
Leveraging CNN and Bi-LSTM in Indonesian G2P Using Transformer
Highly Imbalanced Baggage Threat Classification
An Interpretable Classification Model Based on Characteristic Element Extraction
An Evolutionary Approach to Forecasting Models Hybridization
Graph Networks as Learnable Engines for Relations Inference of Interacting Financial Systems
A Novel Method for Unsafe Driving States Detection
Task-aware Local Representation Mining Network for Few-shot Fine-grained Recognition
Real-time Action Recognition Based on Key Frame Detection
Applying Neural Network to Reconstruction of Phylogenetic Tree
Anomaly Detection of IoT traffic Based on LSTM and Attention Mechanism
Tweet Sentiment Extraction Using Byte Level Pretrained Language Model∗
Accelerating Transformer for Neural Machine Translation
Distributed Machine Learning over Directed Network with Fixed Communication Delays
Lightweight Object Detection-Tracking using Deep Feature Distillation
An Efficient Ranking Scheme for Frequent Subgraph Patterns
Joint Image-text Representation Learning for Fashion Retrieval
Efficient Domain-Specific News Push Service Using Deep Learning Based Text Regression without Users' Information
Predicting Drug-Drug Interactions Using Deep Neural Network
Distant Supervision for Relation Extraction via Noise Filtering
An Intelligent Risk Mining Method by Whole Process-Oriented Risk Analysis Model
Unsupervised Anomaly Detection by Autoencoder with Feature Decomposition
Hyperbolic distance guided multi-positive graph contrastive learning
Evaluating Acoustic Feature Maps in 2D-CNN for Speaker Identification
Evaluation System of Push-up Action Based on Kinect
On Selecting Features for Binary Classification in Microarray Data Analyses
A Review of Methods Used in Machine Learning and Data Analysis
Contrastive Learning of Graph-Kernel-based Representations for Proteins
InSAR Deformation Time-series Reconstruction for Rainfall-induced Landslides Based on Gaussian Process Regression
Convolutionally Enhanced Feature Fusion Visual Transformer for Fine-Grained Visual Classification
DAD-MCNN: DDoS Attack Detection via Multi-channel CNN
Research of Integrated Reorganization of Mineral Rock and Fossil Specimen Data Based on ETL Technology
Depth image restoration method based on improved FMM algorithm
An Infrared Small Target Detection Method Using Segmentation Based Region Proposal and CNN
Fingerprinting Localization Model for Uneven Grids Based on Positioning Errors
Feature Fusion Attention Visual Question Answering
Long-Term Traffic Flow Prediction Based on DiGCN-based Multi-head Spatiotemporal Attention Convolutional Network
Transient Detection Modelling for Gravitational-wave Optical Transient Observer (GOTO) Sky Survey
Research of Learner Action Recognition Based on Improved Average Background Model
Proceedings of the 15th International Conference on Machine Learning and Computing, ICMLC 2023, Zhuhai, China, February 17-20, 2023
An Abnormal Phone Identification Model with Meta-learning Two-layer Framework Based on PCA Dimension Reduction
A Review of Face Attribute Editing Based on Deep Learning
Distributed Broad Learning System
Evaluating CNN and LSTM for Web Attack Detection
Ensemble Extreme Learning Machine for Multi-instance Learning
Visual-Semantic Alignment for Few-shot Remote Sensing Scene Classification
QuDial: A Quadruple-driven Dialogue System for Real Estate Consulting Services
Punjabi Poetry Classification: The Test of 10 Machine Learning Algorithms
Statistic Solution for Machine Learning to Analyze Heart Disease Data
RA-GCN: Relational Aggregation Graph Convolutional Network for Knowledge Graph Completion
Simulation Analysis of Near-field Effect on Heading Beacon Performance
Automating and Optimizing the Design Process of Solar Module Installation and Providing Necessary Forecasts using Machine Learning Algorithm
Simulated Annealing Algorithm Based on Single-direction Greedy Decoding for Solving Corridor Allocation Problem
Predicting wildfire events with calibrated probabilities
Sparse Binary Optimization for Text Classification via Frank Wolfe Algorithm
An Improved k-NN Classification with Dynamic k
Predicting Stock Market N-Days Ahead Using SVM Optimized by Selective Thresholds
Food Item Recognition and Intake Measurement Techniques
Using A CNN to Solve the Problem of Asphalt Pavement Crack Detection
Optimization and Reconstruction for EPMA Image Compressed Sensing Based on Chaotic Measurement Matrix
Human Activity Recognition for Healthcare using Smartphones
Abnormal Phone Analysis Based on Learning to Rank and Ensemble Learning in Environment of Telecom Big Data
A General Multi-Source Data Fusion Framework
Fuzzy Approach Based on Quantum-Inspired MRF for SOFC Anode Optical Microscope Images Segmentation
Research on Optimization of CAPTCHA Recognition Algorithm Based on SVM
Live Video Streaming Optimization Based on Deep Reinforcement Learning
Image Generation of Egyptian Hieroglyphs
Dual Pyramid Attention Network for High-resolution Remotely Sensed Image Change Detection
A Kernel Correlation Filter Tracker with Fast Scale Prediction
Deep Learning Algorithm for Minimum Constraint Removal (MCR) Problem
Feature Based Data Anonymization with Slicing Method for Data Publishing
Pedestrian Trajectory Prediction with MLP-social-GRU
A method of Evaluation for Small and Medium-sized Enterprises
Network Abnormality Location Algorithm Based on Greedy Monte Carlo Tree
Generating Adaptation Rules of Software Systems: A Method Based on Genetic Algorithm
Research on the Application of BERT in Mongolian-Chinese Neural Machine Translation
An Efficient Energy Efficiency Maximization Algorithm for Backscatter-Assisted WP-MEC Network with Relay
Improving EMI Risk Model for E-commerce with Customer Embedding Obtained through Heterogeneous Graph
Low-Dose Sinogram Restoration in SPECT Imaging Based on Conditional Generative Adversarial Network and LSTM
Deep Residual Matrix Factorization for Gait Recognition
Ensemble Learning in Stock Market Prediction
A Study on Semantic Segmentation for Small Objects in High-resolution Aerial Images based on Mask R-CNN and HRNet
Machine Learning Techniques for Heart Disease Datasets: A Survey
Risk Analysis and Accident Treatment Scheme of Valve Cooling System
Extracting Rules for Successful Conditions for Artificial Insemination in Dairy Cattle Using Inductive Logic Programming
Apple Leaf Disease Recognition Based on Attention Mechanics and Multi-Scale Feature Fusion
A Moderately Deep Convolutional Neural Network for Relation Extraction
A Deep Attention Network for Chinese Word Segment
WPCA: Wavelet Packets with Channel Attention for Detecting Face Manipulation
Unsupervised Super Resolution Reconstruction of Traffic Surveillance Vehicle Images
Corpus Construction and Entity Recognition for the Field of Industrial Robot Fault Diagnosis
Unvoiced Speech Recognition Algorithm Based on Myoelectric Signal
Preferred Feature Representation for Remote Sensing Scene Classification
DiffNet: Discriminative Feature Fusion Network of Multisurface Skeleton Project Images for Action Recognition
Research on Fine-grained Classification of Scene Images Fused with Multimodality
An Improved K-means Algorithm Based on Multiple Clustering and Density
Weighted Automata Sequence Kernel
Chaotic Cuckoo Search Algorithm for Solving Unmanned Combat Aerial Vehicle Path Planning Problems
Nested Named Entity Recognition based on Star-Transformer and BiLSTM
Parallel Simulation of Lid-Driven Flow with Internal Square Obstacle
Distributed Secure Consensus for Second-Order Multi-Agent Systems under Replay Attacks
Instance-Reduction Method based on Ant Colony Optimization
Optical Character Recognition System for Nepali Language Using ConvNet
Cluster Based Ensemble Classification for Intrusion Detection System
A Pipeline and a Graph-Based Model for Paragraph Extraction: Take the Insurance Document as an Example
Quasi View-Independent Human Motion Recognition in Subspaces
Ensemble Learning Based Rental Apartment Price Prediction Model by Categorical Features Factoring
Chinese Named Entity Recognition in the Ship News Field Based on Adversarial Transfer Learning
Comparison of Facial Measurement using Cone-Beam Computed Tomography and Three-Dimensional Photography
An Attention-based Deep Network for CTR Prediction
Single Image Intrinsic Decomposition Using Transfer Learning
Image Forgery Detection Based on the Convolutional Neural Network
An Improved Hybrid Quantum Particle Swarm Optimization Algorithm for FJSP
Modified SMOTE-IPF Based Support Vector Machine for Detecting Interference Patterns
Binocular attention-based stacked BiLSTM NER model for Supply chain management event knowledge graph construction
Genetic Algorithm for Building Optimization: State-of-the-Art Survey
A Quantum Classifier Based on Tree Structure
The Study of the Mid-Term Screening of Graduate Students Based on the Attribute Reduction Algorithm
Route Measurement Technique based on Entropy in Cluster Routing for Mobile Ad hoc Networks
3D Sign language recognition based on multi-path hybrid residual neural network
A transformer-based deep learning model for evaluation of accessibility of image descriptions
Soft Adversarial Offline Reinforcement Learning via Reducing the Attack Strength for Generalization
Batch Normalization: Is Learning An Adaptive Gain and Bias Necessary?
The Title of the Paper: Research on insurance marketing application based on hash link-table improved association rule algorithm
A Self-attention Feature Metric Learning Method for Remote Sensing Image Retrieval
Optimization of energy storage participation in peak load shifting operation based on improved MOPSO
MIMO CSI-based Super-resolution AoA Estimation for Wi-Fi Indoor Localization
An Unsupervised Feature Learning Method for Enhancing the Generalization of Cancer Diagnosis
Injecting Commonsense Knowledge into Prompt Learning for Zero-Shot Text Classification
Learning a Deep Convolutional Network for Speckle Noise Reduction in Underwater Sonar Images
The Statistical Analysis of Cloud Evolutionary Strategy
Variational Autoencoder Based Network Embedding Algorithm For Protein Function Prediction
Research on Hybrid Recommendation Algorithm for Integrating Consumption Habits in LSBN
Improving Consensus Clustering with Noise-Induced Ensemble Generation: A Study of Uniform Random Noise
Superpixel Level Incremental Visual Saliency Detection in Low Contrast Video
3D-Based Facial Emotion Recognition using Depthwise Separable Convolution
A Comparative Study for Contour Detection Using Deep Convolutional Neural Networks
Acoustic Classification of Bird Species Using Wavelets and Learning Algorithms
Image and Signal processing to detect violent content in social media videos
Chinese Word Segmentation Based on Deep Learning
Discharge Fault Simulation System for High Voltage SF6 Gas Insulated Switch-gear and Its Intelligent Pattern Recognition
Structural Subspace Learning for Few-shot Fine-grained Recognition
1D CNN for Feature Reconstruction on Network Threat Detection
Clustering Analysis of Human Behavior Based on Mobile Phone Sensor Data
Arabic Medical Community Question Answering Using ON-LSTM and CNN
Plagiarism Detection in Malayalam Language Text using a Composition of Similarity measures
Intra-Class Cutmix for Unbalanced Data Augmentation
Enhancing Network Intrusion Detection Through Dynamic IP Blacklisting
Light-Trans YOLO: A Lightweight Network Based on Transformer for Defect Detection of Industrial Lace Surface
Classical Formula Nomenclature in Traditional Chinese Medicine based on Neural Network
Applying Machine Learning to a Conventional Data Processing Task: A Quantitative Evaluation
Keyword Search with Real-time Entity Resolution in Relational Databases
Optimization algorithm of manhole recognition based on YOLOv2
Particle Competition for Multilayer Network Community Detection
The Performance of Two CNN Methods in Artworks Aesthetic Feature Recognition
A Novel Single Target Auto-annotation Algorithm for SAR Images Based on Pre-trained CNN Classifier
Mixed network sentiment analysis combining sentiment features and multiple attention
Lucas-Kanade-based Face Detection Network: An Unsupervised Approach to Improve the Precision and Stability of video-based Face Detector
Oizzu: A Bipedal Humanoid Robot Development Kit
The Guiding Role of Reward Based on Phased Goal in Reinforcement Learning
The Classification of the Documents Based on Word Embedding and 2-layer Spherical Self Organizing Maps
ICMLC 2020: 2020 12th International Conference on Machine Learning and Computing, Shenzhen, China, February 15-17, 2020
Facial Expression Recognition Algorithm Based on the Combination of CNN and K-Means
Non-negative Matrix Factorization for Overlapping Clustering of Customer Inquiry and Review Data
A Mixed-coding Harmony Search Algorithm for the Closed Loop Layout Problem
Break Two PSI-CA Protocols in Polynomial Time
Soft Short-Text Clustering using PageRank as a Centrality Measure
Optimising the Meta-Optimiser in Machine Learning Problems
GIS and SVM Approach for Convenience Store Location Analysis
Hard Anchor Attention in Anchor-based Detector
A Distributed PCM Clustering Algorithm Based on Spark
Condition Recognition of Pipeline Systems Based on Deep Learning
Deep-learning Based Denoising and Enhancement in Video Image of Approach Channel
Proceedings of the 10th International Conference on Machine Learning and Computing, ICMLC 2018, Macau, China, February 26-28, 2018
Detection, Alignment, and Recognition of Partially Occluded Human Face Based on Statistical Learning of Local Features
Distilling Multi-Step Reasoning Capabilities into Smaller Language Model
Development of Semi-Automatic Methodology for Extraction of Depth for 2D-to-3D Conversion
Unsupervised Feature Selection using Pseudo Label Approximation
SCG_FBS: A Code Grading Model for Students' Program in Programming Education
Research on Movie Box Office Prediction Method Based on Blending Model Fusion
MESCM: A Multi-stage Explainable Similar Case Matching Framework
Application of Machine Learning Methods in Pork Price Forecast
Forgery Detection in Aadhaar-based KYC using Deep Learning
Do You Want to Foresee Your Future? The Best Model Predicting the Success of Kickstarter Campaigns
Subjective Association Rule Mining: From Point-based Ranking Sequence to Interval-based Temporal Sequence
Music style classification by jointly using CNN and Transformer
LBIRCH: An Improved BIRCH Algorithm Based on Link
A Maximizing-Discriminability-Based Architecture for Fuzzy-Neural-Network Hardware
CNNPayl: An Intrusion Detection System of Cross-site Script Detection
Prediction of gene regulatory networks based on graph attention mechanisms
Preserving model privacy for Federated Reinforcement Learning in Complementary Environments
A Simple Training Strategy for Graph Autoencoder
Tweets Ranking Considering Dynamic Social Influence and Personal Interests
Research on Flow Classification Model Based on Similarity and Machine Learning Algorithm
Multivariate Time Series Classification Based on MCNN-LSTMs Network
Analyzing Weibo Data with Word2Vec and BiLSTM to Encourage Personal Income Tax Compliance in China
Decentralized Adaptive Latency-Aware Cloud-Edge-Dew Architecture for Unreliable Network
HSIE: Improving Named Entity Disambiguation with Hidden Semantic Information Extractor
Hierarchical Neural Network Approaches for Long Document Classification
Intent Understanding in a Virtual Agent
An Improved Collaborative Filtering Recommendation Algorithm Based on Fusion Time Factor
Research on Optimization and Application of Slope One Algorithm in Personalized Recommendation System
An Over-sampling Method Based on Margin Theory
Prediction for Sea Surface Temperature of Submarine Thermal Wake: Combining CFD with Neural Network
Boosting Few-Shot Image Classification with Feature Map Reconstruction Network via Statistical Information
AEE-Net: An Efficient End-to-End Dehazing Network in UAV Imaging System
A Lightweight Keyword Extraction Algorithm Using a Term Weighting Scheme with Word Features
Audience Activity Recommendation Using Stacked-LSTM Based Sequence Learning
Intracranial Electroencephalogram Based Epilepsy Seizure Onset Detection
A Distributed Solution for Winograd Schema Challenge
Research on Hypoxia and Fatigue Resistant Food at Plateau Based on Big Data Technology
Pair-wise selective classification with dynamic sampling for shipment importer prediction
Part-based Feature Extraction for Person Re-identification
Ensemble Two Stage Machine Learning for Network Abnormal Detection
In-domain User Identity Authentication Method for System Wide Information Management (SWIM)
Hybrid Optimization Algorithm of Improved Binary Particle Swarm Optimization (iBPSO) And Cuckoo Search for Review Spam Detection
Modeling and Evolutionary Optimization for Multi-objective Vehicle Routing Problem with Real-time Traffic Conditions
Out-of-store Object Detection Based on Deep Learning
Analysis of Unsupervised Consumption Anomaly Detection in Sports Facilities using Artificial Intelligence-Based Data Analytics: A Case Study
Fine-Tuning LLMs for Multi-Turn Dialogues: Optimizing Cross-Entropy Loss with KL Divergence for All Rounds of Responses
Integrated Artificial Intelligence for Making Digital Human II
Unlocking Deeper Understanding: Leveraging Explainable AI for API Anomaly Detection Insights
Generative and contrastive based self-supervised learning model for histopathology image analysis
An Effective Method of Wood Crack Trace and Quantity Detection Based on Digital Image Processing Technology
Source Model Selection as a Meta-learning Technique to learn Novel Concepts
Design of an Intelligent Agent for Stimulating Brainstorming
Weakly Supervised Fine-grained Recognition in a Segmentation-attention Network
Image Captioning in Chinese and Its Application for Children with Autism Spectrum Disorder
The Study of PSO-SVM and PSO-GRNN Algorithm Used in the Fault Pattern Classification of Transformer
Improved Feature Selection in Lorentzian Space
Temporal Convolution-based Hybrid Model Approach with Representation Learning for Real-Time Acoustic Anomaly Detection
Factors Affecting Accuracy of Genotype Imputation Using Neural Networks in Deep Learning
Automatic Machine Learning based Real Time Multi-Tasking Image Fusion
3D Mapping Hexacopter Simulation using Gazebo and Robot Operating Sytem(ROS)
Survey on Crowd-based Mobile App Testing
SRCPT: Spatial Reconstruction Contrastive Pretext Task for Improving Few-Shot Image Classification
Problems and Countermeasures Facing Accounting Informatization in the Era of Big Data
A Novel Nonlinear Discriminant Classifier Trained by an Evolutionary Algorithm
Combining Content and Sentiment Analysis on Lyrics for a Lightweight Emotion-Aware Chinese Song Recommendation System
Improved Cascade R-CNN for Medical Images of Pulmonary Nodules Detection Combining Dilated HRNet
Simulation Analysis of Binary Antenna Radiation Field Mathematical Model of Instrument Landing System
Better Generalization in Fast Training: Flat Trainable Weight in Subspace
Proceedings of the 2019 11th International Conference on Machine Learning and Computing, ICMLC '19, Zhuhai, China, February 22-24, 2019
Biological Named Entity Recognition and Role Labeling via Deep Multi-task Learning
Traffic Flow Prediction Using Spatiotemporal Analysis and Encoder-Decoder Network
Multi-level Feature Fusion Method for Long Text Classification
Multi-label text classification via hierarchical Transformer-CNN
A Cost-sensitive Active Learning for Imbalance Data with Uncertainty and Diversity Combination
Handling Non-linear Relations in Support Vector Machines through Hyperplane Folding
Neighborhood Extended Dynamic Graph Neural Network
Content-Based Textual File Type Detection at Scale
Path Planning of UAV Based on Error Correction
TC-GAN: A Transformer-based Conditional Generative Adversarial Network for Low-Dose SPECT Image Reconstruction
Recommendation Algorithm for Mobile E-commerce Based on Reputation
Big Cities transfer learning: An unsupervised multi-view cross-domain classification with misses
Confidence-based Utterance Selection for a Recognizer-free Spoken Dialogue System
The Chinese Multi-Word Expression Extraction Based on Improved Semi-supervised Algorithm
Research on Controlled Access Technology of Power Data Based on Heavy Encryption Combined with CP-ABE
A Practical Indoor and Outdoor Seamless Navigation System Based on Electronic Map and Geomagnetism
Algorithmic Generation of Positive Samples for Compound-Target Interaction Prediction
Missing Data Processing Based on Deep Neural Network Enhanced by K-Means
Multi-step Point-of-Interest-level Crowd Flow Prediction Based on Meta Learning
Practice of FATE: Performance Improving Techniques
Double-ant Colony Based UAV Path Planning Algorithm
Blood Glucose Level Prediction with Minimal Inputs Using Feedforward Neural Network for Diabetic Type 1 Patients
Multi-Scale Convolution Multi-Graph Attention Neural Networks for Traffic Flow Forecasting
Human Emotion Recognition in Video Using Subtraction Pre-Processing
PDE-Net: Pyramid Depth Estimation Network for Light Fields
Intelligent Gastric Histopathology Image Classification Using Hierarchical Conditional Random Field based Attention Mechanism
A Real-Time Video Abstraction Technique for AR Content Synthesis on Android Platform
Image-based Renovation Progress Inspection with Deep Siamese Networks
Roadside Traffic Sign Detection Based on Faster R-CNN
Logistic Regression Setup for RTB CTR Estimation
ClassVector: A Parameterized Prototype-Based Model for Text Classification
Data-driven Feature Selection for Long Longitudinal Breadth and High Dimensional Dataset: Empirical Studies of Metabolic Syndrome Prediction
FilterNet: A Convolutional Neural Network for Radar-Based Fall Detection by Filtering Out Non-fall Feature in the Spectrogram
Analysis of CSR activities Affecting Corporate Value Using Machine Learning
Uncertain String Matching Based on Bitmap Indexing
Attention-Based Experience Replay in Deep Q-Learning
Direct vs. Cross-Validated Stacking in Ensemble Learning: Evaluating the Trade-Off between Inference Time and Generalizability on Fashion-MNIST
Robust Linear Subspace for Image Set Retrieval
Research on Airport Noise Prediction Method Based on Noise Model INM
A Weighted Local Mean-Based k-Nearest Neighbors Classifier for Time Series
Chinese NER Based on Adversarial Training and Interactive Attention
SCC-Conv: A Novel Convolution with Spatial-Channel Cheap Operation for Single Image Super-Resolution
Utilizing Hashtags for Sentiment Analysis of Tweets in The Political Domain
Towards Explainable Image Classifier: An Analogy to Multiple Choice Question Using Patch-level Similarity Measure
Model Loss and Distribution Analysis of Regression Problems in Machine Learning
Single-Pass On-Line Event Detection in Twitter Streams
Autonomous Tracking of Hexacopter on Moving Mobile Robot Using Gazebo ROS Simulation
Multi-Objective Deep Reinforcement Learning for Variable Speed Limit Control
Character Expressions in Meta-Learning for Extremely Low Resource Language Speech Recognition
Label Aggregation with Clustering for Biased Crowdsourced Labeling
Weighted Cross-Entropy to tackle Overlapping in Fraud Detection
An Anonymous Authentication Protocol Based on Blind Signature for Internet of Things
JFMNet: Joint Fusion Multi-Networks for Image Dehazing and Denoising in The Port Environment
Tracking Ground Targets with Road Constraints Using a JMS-GM-PHD Filter
Multimodal Language Data and Platform Construction for LCTLs Teaching
Guidance of Farming Works to Improve Efficiency Considering Physical Behavior
AFAR: A Real-Time Vision-based Activity Monitoring and Fall Detection Framework using 1D Convolutional Neural Networks
Hardware Implementation of PHD Filter for Image Target Tracking
WEMA versus B-WEMA Methods in Forex Forecasting
Micro-expression Recognition Based on Attention-enhanced LSTM Neural Networks
Fine-Grained Categorization Based on Feature Selection
Custom attribute image generation based on improved StyleGAN2
Invariant Graph Neural Network for Out-of-Distribution Nodes