yusuke1997/dblp-id-title huggingface dataset:
The Analysis on the Customers Churn of Charge Email Based on Data Mining Take One Internet Company for Example
Evaluation of the Relevance of Linear and Nonlinear Posturographic Features in the Recognition of Healthy Subjects and Stroke Patients
Learning the Roles of Directional Expressions and Domain Concepts in Financial News Analysis
Concept Tree Based Clustering Visualization with Shaded Similarity Matrices
Enhancing Social Recommendation with Multi-View BERT Network
A Novel Pre-Classification Based kNN Algorithm
Text Representation: From Vector to Tensor
An Experimental Evaluation of Data Classification Models for Credibility Based Fake News Detection
Matrix Profile VIII: Domain Agnostic Online Semantic Segmentation at Superhuman Performance Levels
Domain-Independent Unsupervised Text Segmentation for Data Management
Injecting Discrimination and Privacy Awareness Into Pattern Discovery
An Incremental Approach to Building a Cluster Hierarchy
Exploiting Local Information with Subgraph Embedding for Graph Neural Networks
Graphics Classification for Enterprise Knowledge Management
Kernel-based Hybrid Interpretable Transformer for High-frequency Stock Movement Prediction
S-preconditioner for Multi-fold Data Reduction with Guaranteed User-Controlled Accuracy
Event Series Prediction via Non-Homogeneous Poisson Process Modelling
Deep Spatial Domain Generalization
What's Next? A Recommendation System for Industrial Training
A Decision Support Framework for AutoML Systems: A Meta-Learning Approach
Anomaly Detection for a Water Treatment System Using Unsupervised Machine Learning
Dual Adversarial Learning Based Network Alignment
Learning Theory and Algorithms for Revenue Maximization in Sponsored Search
Primitives Generation Policy Learning without Catastrophic Forgetting for Robotic Manipulation
A Cognitive Solver with Autonomously Knowledge Learning for Reasoning Mathematical Answers
Learning and Adapting Diverse Representations for Cross-domain Few-shot Learning
Stochastic Integrated Explanations for Vision Models
T 3 : Domain-Agnostic Neural Time-series Narration
What Do People Want in Microblogs? Measuring Interestingness of Hashtags in Twitter
SemiFDA: Domain Adaptation in Semi-Supervised Federated Learning
On-line LDA: Adaptive Topic Models for Mining Text Streams with Applications to Topic Detection and Tracking
UP-Miner: A Utility Pattern Mining Toolbox
BrainQuest: Perception-Guided Brain Network Comparison
Welcome to ICDM 2005
Mining Heterogeneous Data for Formulation Design
Stability of Feature Selection Algorithms
Approximation of Frequentness Probability of Itemsets in Uncertain Data
Joint and Pipeline Probabilistic Models for Fine-Grained Sentiment Analysis: Extracting Aspects, Subjective Phrases and their Relations
Learning Term Dependency Links Using Information Theoretic Inclusion Measure
Mutual Information Based Output Dimensionality Reduction
Entropy-Based Graph Clustering: Application to Biological and Social Networks
Adaptive Student Inference Network for Efficient Single Image Super-Resolution
Interpretable Clustering via Discriminative Rectangle Mixture Model
Automatic Identification of Hexagonal Pattern Artifacts in Radio Astronomical Surveys
ROM: A Robust Online Multi-task Learning Approach
Do good scores imply good embeddings? On the necessity of inspecting manifold learning evaluation results by multiple criteria
Flexible Similarity Search for Enriched Trajectories
A Deep Transfer Learning Approach for Improved Post-Traumatic Stress Disorder Diagnosis
Resolving Identity Uncertainty with Learned Random Walks
Discovering the Intrinsic Cardinality and Dimensionality of Time Series Using MDL
Dimensionality Reduction Based Similarity Visualization for Neural Gas
Digital audiovisual repositories: an introduction
Toward a common semantics between media and languages
Shallow syntax analysis in Sanskrit guided by semantic nets constraints
Vagueness and uncertainty in information retrieval: how can fuzzy sets help?
Multilingual information access: the contribution of evaluation
Document image analysis for digital libraries
Information retrieval and digital libraries: lessons of research
How the dragons work: searching in a web
Open source search and research
Diffusion maps-based image clustering
Proceedings of the International Workshop on Research Issues in Digital Libraries, IWRIDL 2006, in association with ACM SIGIR, Kolkata, India, December 12 - 15, 2006
Finding an answer to a question
Advances in XML retrieval: the INEX initiative
On the science of search: statistical approaches, evaluation, optimisation
How to compose a complex document recognition system
From CLIR to CLIE: some lessons in NTCIR evaluation
Digitizing, coding, annotating, disseminating, and preserving documents
Detecting Intrusion Using Multiple Datasets in Software-Defined Networks
A New Technique to Improve the Security of Elliptic Curve Encryption and Signature Schemes
Estimating the Assessment Difficulty of CVSS Environmental Metrics: An Experiment
A Deep Learning-Based Method for Image Tampering Detection
A Template-Based Approach for Generating Vietnamese References from Flat MR Dataset in Restaurant Domain
The Digital Archiving Process in Estonia - Assessment and Future Perspectives
Improving ModSecurity WAF with Machine Learning Methods
An Image Denoising Model Based on Nonlinear Partial Diferential Equation Using Deep Learning
Counting People Using Images from Two Low Cost Webcams
Machine Learning UHF-RFID to Support Video Tracking and Recommendation for Attendance System
Vision Transformer for Kidney Stone Detection
Live Memory Forensics on Virtual Memory
Multi-class Bagged Proximal Support Vector Machines for the ImageNet Challenging Problem
Adventures in the Analysis of Access Control Policies
Heuristic-Guided Verification for Fast Congestion Detection on Wireless Sensor Networks
Statistical Models to Automatic Text Summarization
Smart Card Based User Authentication Scheme with Anonymity
Efficient CNN Models for Beer Bottle Cap Classification Problem
Immune Approach to the Protection of IoT Devices
Privacy-Aware Data Analysis Middleware for Data-Driven EHR Systems
Py_ape: Text Data Acquiring, Extracting, Cleaning and Schema Matching in Python
A Combined Enhancing and Feature Extraction Algorithm to Improve Learning Accuracy for Gene Expression Classification
Secure as a Service VNF: A Proposed VNF Architecture for Proactive Malware Detection During File Downloads in Enterprises
Modeling and Testing Power Consumption Rate of Low-Power Wi-Fi Sensor Motes for Smart Building Applications
Detection of the Primary User's Behavior for the Intervention of the Secondary User Using Machine Learning
Cloud Media DJ Platform: Performance Perspective
Text Classification Models and Topic Models: An Overall Picture and a Case Study in Vietnamese
A Lightweight Transformer-Based Model for Fight Recognition
Analyzing and Visualizing Web Server Access Log File
Fast Top-Q and Top-K Query Answering
Relating Network-Diameter and Network-Minimum-Degree for Distributed Function Computation
Air Pollution Forecasting Using Regression Models and LSTM Deep Learning Models for Vietnam
Efficient Privacy-Preserving Association Rule Mining with Map-Reduce
Link Prediction in Social Networks Based on Local Weighted Paths
An Approach for Project Management System Based on Blockchain
Cryptocurrencies Price Index Prediction Using Neural Networks on Bittrex Exchange
A Novel Approach for Vietnamese Speech Recognition Using Conformer
Modeling Transmission Rate of COVID-19 in Regional Countries to Forecast Newly Infected Cases in a Nation by the Deep Learning Method
An Elastic Anonymization Framework for Open Data
Machine Learning Based Monitoring of the Pneumatic Actuators' Behavior Through Signal Processing Using Real-World Data Set
Applying Artificial Intelligence to Plan Flight Paths for Aircraft at Subsonic Speeds
Eco Models of Distributed Systems
A Term Weighting Scheme Approach for Vietnamese Text Classification
Defining Membership Functions in Fuzzy Object-Oriented Database Model
Data Quality for Medical Data Lakelands
White Blood Cell Segmentation Using Kolmogorov-Arnold Network Coupled with UNet
Using Graph Database for Evidence Correlation on Android Smartphones
On Applying Graph Database Time Models for Security Log Analysis
Personalized Stress Detection System Using Physiological Data from Wearable Sensors
Shape of Pill Recognition Using Mask R-CNN
Enhancing Detection of Daily-Used Face Swap Applications by Using Focused Landmark Analysis
Feature Fool Exploitation for Lightweight Anomaly Detection in Respiratory Sound
On Using Cryptographic Technologies in Privacy Protection of Online Conferencing Systems
Secure and Efficient Implementation of Electronic Money
Enhancing Obfuscated Malware Detection with Machine Learning Techniques
Legal-Onto Model for Efficient Land Law Updates in Vietnam
A Hybrid Approach Using Decision Tree and Multiple Linear Regression for Predicting Students' Performance
Biggest Margin Tree for the Multi-class Classification
ASASPXL: New Clother for Analysing ARBAC Policies
Integrating Deep Learning Architecture into Matrix Factorization for Student Performance Prediction
A Convex Optimization Based Method for Color Image Reconstruction
Future Data and Security Engineering - 8th International Conference, FDSE 2021, Virtual Event, November 24-26, 2021, Proceedings
Fine Grained Attribute Based Access Control Model for Privacy Protection
Forecasting Sensor Data Using Multivariate Time Series Deep Learning
Automatic Vietnamese Passport Recognition on Android Phones
TLCSim: A Large-Scale Two-Level Clustering Similarity Search with MapReduce
Recognition and Quantity Estimation of Pastry Images Using Pre-training Deep Convolutional Networks
IoT-Based Electrical Energy Monitoring System
Post-quantum Digital-Signature Algorithms on Finite 6-Dimensional Non-commutative Algebras
Multiple Vehicles Detection and Tracking Using Ground and Aerial Images for Vehicular Management System
Attention Models and Image Pre-processing for Covid-19 Detection Based on Lung Ultrasound Images
Toward a Nexus Model Supporting the Establishment of Business Process Crowdsourcing
On the Potential of Numerical Association Rule Mining
Using Artificial Intelligence and IoT for Constructing a Smart Trash Bin
Distributed Scalable Association Rule Mining over Covid-19 Data
Opinion Analysis in Social Networks Using Antonym Concepts on Graphs
Flexible Platform for Integration, Collection, and Analysis of Social Media for Open Data Providers in Smart Cities
Comprehensive Study in Preventive Measures of Data Breach Using Thumb-Sucking
Comprehensive Analysis of Privacy in Black-Box and White-Box Inference Attacks Against Generative Adversarial Network
Towards a Privacy, Secured and Distributed Clinical Data Warehouse Architecture
Cost Effective Control Plane Design for Service Assurance in Software Defined Service Function Chaining
Collective Anomaly Detection Based on Long Short-Term Memory Recurrent Neural Networks
Community Detection for Personalized Learning Pathway Recommendations on IT E-Learning System
Curated Colon Disease Diagnosis Using Principal Component Analysis and Deep Learning with Integrated Gradients
A Method to Enhance the Security Capability of Python IDE
Is There a Need for a New Generation of Congestion Control Algorithms in Point-to-Point Networks?
One-Class Classification with Noise-Based Data Augmentation for Industrial Anomaly Detection
An Efficient Batch Similarity Processing with MapReduce
Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications - 11th International Conference on Future Data and Security Engineering, FDSE 2024, Binh Duong, Vietnam, November 27-29, 2024, Proceedings, Part II
Security for the Internet of Things and the Bluetooth Protocol
Accuracy Improvement for Glucose Measurement in Handheld Devices by Using Neural Networks
An Approach for Skin Lesions Classification with a Shallow Convolutional Neural Network
Three-Dimensional Visualization of Legal Acts: Concept and Prototype
Cloud Media DJ Platform: Functional Perspective
Authenticating Parties in Blockchain-Enabled Inter-Organizational Processes with Configurable Challenge-Sets
Sequential Recommendation Using Graph Neuron Networks
Structuring of Discourse and Annotation Method for Contribution Assessment in Collaborative Discussions
An Approach for Similarity Vietnamese Documents Detection from English Documents
An Efficient Document Indexing-Based Similarity Search in Large Datasets
Hypertension Classification for Fundus Image Based on Improving Clahe Morphology in Wavelet Transform and ResUNet
pPATE: A Pragmatic Private Aggregation of Teacher Ensembles Framework by Sparse Vector Technique Based Differential Privacy, Paillier Cryptosystem and Human-in-the-loop
An Empirical Study on Fabric Defect Classification Using Deep Network Models
Retinal Vessels Segmentation by Improving Salient Region Combined with Sobel Operator Condition
Combine Clasification Algorithm and Centernet Model to Predict Trafic Density
Information Systems Success: Empirical Evidence on Cloud-based ERP
Low-Latency Radix-4 Multiplication Algorithm over Finite Fields
Deep Learning Approach for Receipt Recognition
Using Local Rules in Random Forests of Decision Trees
Study on Web Based Virtualized Containers for Software Development Lectures in BYOD
MedQAS: A Medical Question Answering System Based on Finetuning Large Language Models
Robust Vietnam's Motorcycle License Plate Detection and Recognition Using Deep Learning Model
Covid-19 Detection Based on Lung Lesion Signs in Big Data Processing Environment
Predicting the Price of Bitcoin Using Hybrid ARIMA and Machine Learning
Forecasting Covid-19 Infections in Ho Chi Minh City Using Recurrent Neural Networks
A Digital Therapeutics System for the Diagnosis and Management of Depression: Work in Progress
Time in Data Models
A Supporting Automatically Mechanism for Data Owner Preventing Personal Privacy from Colluding Attack on Online Social Networks
Applying Blockchain Technology in Learning Management Systems: A Novel Approach to Secure and Transparent Education Management
A Novel Approach to Diagnose ADHD Using Virtual Reality
Energy Saving Solution for Air Conditioning Systems
Adaptive Contiguous Scheduling for Data Aggregation in Multichannel Wireless Sensor Networks
Freely Combining Partial Knowledge in Multiple Dimensions - (Extended Abstract)
A Fuzzy Logic Model for Digital Transformation Assessment of Vietnamese Higher Education Institutions
Neighboring Information Exploitation for Anomaly Detection in Intelligent IoT
Deep Hybrid Models for Forecasting Stock Midprices from the High-Frequency Limit Order Book
An Enhancement of the Rew-XAC Model for Workflow Data Access Control in Healthcare
Forests of Oblique Decision Stumps for Classifying Very Large Number of Tweets
Individual Privacy Supporting Organisational Security
Performance Evaluation of Regular Decomposition and Benchmark Clustering Methods
Relation Classification Based on Vietnamese Covid-19 Information Using BERT Model with Typed Entity Markers
Detection and Classification of Liver Lesions Using Vision Transformer and Active Learning
Multi-diagram Representation of Enterprise Architecture: Information Visualization Meets Enterprise Information Management
Using Fuzzy Time Series Model Based on Hedge Algebras and Relationship Groups Following Time Points for Forecasting Time Series
Heuristics for Energy-Aware VM Allocation in HPC Clouds
Comprehensive Review of Classification Algorithms for Medical Information System
Disease Prediction Using Metagenomic Data Visualizations Based on Manifold Learning and Convolutional Neural Network
Deep Models for Mispronounce Prediction for Vietnamese Learners of English
Blockchain-Based Open Data: An Approach for Resolving Data Integrity and Transparency
Digital Signatures Using Hardware Security Modules for Electronic Bills in Vietnam: Open Problems and Research Directions
On the Feasibility of Machine Learning Models for Customer Spending Prediction Problem
Application of Rough Sets to Negative Selection Algorithms
Estimating Traffic Density Using Convolutional Neural Networks Based on Crowd Counting
Neural Networks Based Fuzzy Join Algorithm In Big Data Processing
Optimizing Customer Feedback Analysis with BERT-Based Sentiment Classification: A Case Study of Toyota Dong Sai Gon
Proposing Recommendation System Using Bag of Word and Multi-label Support Vector Machine Classification
Agile Software Engineering Methodology for Information Systems' Integration Projects
A Consortium Blockchain-Based Platform for Academic Certificate Verification
Evaluating Session-Based Recommendation Approaches on Datasets from Different Domains
Selective Combination and Management of Distributed Machine Learning Models
OAK: Ontology-Based Knowledge Map Model for Digital Agriculture
Evading Security Products for Credential Dumping Through Exploiting Vulnerable Driver in Windows Operating Systems
Feature Representation of AutoEncoders for Unsupervised IoT Malware Detection
Risk-based Software Quality and Security Engineering in Data-intensive Environments - (Invited Keynote)
An Elastic Data Conversion Framework for Data Integration System
A Short Review on Deep Learning for Entity Recognition
Automatic Evaluation of the Computing Domain Ontology
Lower Bound for Function Computation in Distributed Networks
Enhancing Genetic Algorithm with Cumulative Probabilities to Derive Critical Test Scenarios from Use-Cases
Contractual Proximity of Business Services
Incremental Learning for Classifying Vietnamese Herbal Plant
Teleoperation System for a Four-Dof Robot: Commands with Data Glove and Web Page
Application of Fuzzy Logic in University Suggestion System for Vietnamese High School Students
Efficient Mining of Top-K Cross-Level High Utility Itemsets
Factor Analysis of Weather Conditions Impact on Firefighter Interventions
Privacy-Preserving Attribute-Based Access Control in Education Information Systems
Automatic Extraction of Semantic Relations from Text Documents
Dilated Sequential Models with Dual-Stage Attention for Stock Prediction
Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications - 11th International Conference on Future Data and Security Engineering, FDSE 2024, Binh Duong, Vietnam, November 27-29, 2024, Proceedings, Part I
Maintenance Algorithms for 0-Complete Trees with Improved Space Utilization
Sequential Patch Analysis Framework for Lung Disease Classification
A Pronunciation Practice System Based on Pre-trained Deep Learning Models
Metamorphic Malware Detection by PE Analysis with the Longest Common Sequence
Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications - 10th International Conference, FDSE 2023, Da Nang, Vietnam, November 22-24, 2023, Proceedings
Memory-Based Multi-pattern Signature Scanning for ClamAV Antivirus
Medical Signal Analysis For Early ECG Classification Using Machine Learning Models
An Efficient Model for Sentiment Analysis of Electronic Product Reviews in Vietnamese
In-Memory Computing Architectures for Big Data and Machine Learning Applications
A Watermarking Framework for Outsourced and Distributed Relational Databases
Quantum Approach for Constructing Phylogenetic Maximum Parsimony Tree
Automated Screening for Ocular Abnormalities: Leveraging Data Augmentation for Improved Diagnostic Accuracy
Applying Peer-to-Peer Networks for Decentralized Customer-to-Customer Ecommerce Model
An Extensible Framework for Web Application Vulnerabilities Visualization and Analysis
IFIN+: A Parallel Incremental Frequent Itemsets Mining in Shared-Memory Environment
Poses Classification in a Taekwondo Lesson Using Skeleton Data Extracted from Videos with Shallow and Deep Learning Architectures
Identifying Minimum Set of Persons that Influenced by a Promotion Campaign
Managing the Quality of Data and Metadata for Biobanks
A Synthetic Data Generation Model for Diabetic Foot Treatment
Resident Identification in Smart Home by Voice Biometrics
An In-depth Analysis of OCR Errors for Unconstrained Vietnamese Handwriting
Resource-Efficient Vietnamese Text Summarization: Enhancing Vistral 7B Performance Through Data Filtering, QDoRA's Low-Memory Footprint, and DeepSpeed's Training Optimization
Resource-Constrained IoT Authentication Protocol: An ECC-Based Hybrid Scheme for Device-to-Server and Device-to-Device Communications
Enhance Fuzzy Vault Security Using Nonrandom Chaff Point Generator
On Context- and Sequence-Aware Document Enrichment and Retrieval towards Personalized Recommendations
Visualization of Medical Images Data Based on Geometric Modeling
Prospective Cryptography in NFC with the Lightweight Block Encryption Algorithm LEA
Course Recommendation with Deep Learning Approach
Development of a Handwriting Drawings Assessment System for Early Parkinson's Disease Identification with Deep Learning Methods
Detect Abnormal Behaviours in Ethereum Smart Contracts Using Attack Vectors
Incorporating Trust, Certainty and Importance of Information into Knowledge Processing Systems - An Approach
Analysis of the Adoption and Implementation of DICT's Six-Stage Cybersecurity Incident Response Model in Philippine Government Agencies
Authentication of Luxury Products - Identifying Key Requirements from a Seller and Consumer Perspective
Static PE Malware Detection Using Gradient Boosting Decision Trees Algorithm
Navigating Differential Privacy Constraints in Machine Learning
Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications - 8th International Conference, FDSE 2021, Virtual Event, November 24-26, 2021, Proceedings
Removal of Various Noise Types and Voice-Based Gender Classification for Dubbed Videos
A Novel Approach of Using Neural Circuit Policies for COVID-19 Classification on CT-Images
Energy-Efficient VM Scheduling in IaaS Clouds
A Steganography Technique for Images Based on Wavelet Transform
An Overview of Digital Signing and the Influencing Factors in Estonian Local Governments
Toward an Ontology for Improving Process Flexibility
Threshold Benefit for Groups Influence in Online Social Networks
An Efficient Similarity Search in Large Data Collections with MapReduce
Combining the 1D CNN Model and Transfer Learning Model in Analyzing Learner Emotions
Blockchain Technology: Intrinsic Technological and Socio-Economic Barriers - FDSE'2020 Keynote
Parallel Algorithm of Local Support Vector Regression for Large Datasets
Identifying Key Player Using Sum of Influence Probabilities in a Social Network
A YoloX-Based Approach for Detecting Human and Classifying Their Own Pet to Monitor and Improve Services at the Veterinary Clinic
A Visual Model for Privacy Awareness and Understanding in Online Social Networks
Effectiveness of Object Oriented Inheritance Metrics in Software Reusability
Personalized Student Performance Prediction Using Multivariate Long Short-Term Memory
Mapping Requirements Specifications into a Formalized Blockchain-Enabled Authentication Protocol for Secured Personal Identity Assurance
Using Machine Learning for News Verification
BERT-Based Sentence Recommendation for Building Vietnamese Universal Dependency Treebank
Implementation and Performance Evaluation of Vehicle-Moving Based Routing Protocol in VANET
Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications - 7th International Conference, FDSE 2020, Quy Nhon, Vietnam, November 25-27, 2020, Proceedings
A Siamese-Based Approach for Network Intrusion Detection Systems in Software-Defined Networks
Utilizing InfoGAN and PE Header Features for Synthetic Ransomware Image Generation: An Experimental Study
Vietnamese Paraphrase Identification Using Matching Duplicate Phrases and Similar Words
Detecting Kuzushiji Characters from Historical Documents by Two-Dimensional Context Box Proposal Network
A Third-Party Intelligent System for Preventing Call Phishing and Message Scams
Using Transformer Technique for Intrusion Detection
A Drowsiness Detection System Based on Eye Landmarks Using IoT
Fault Data Analytics Using Decision Tree for Fault Detection