yusuke1997/dblp-id-title huggingface dataset:
The Semantic Adjacency Criterion in Time Intervals Mining
Identifying Probable Dementia in Undiagnosed Black and White Americans Using Machine Learning in Veterans Health Administration Electronic Health Records
Artificial Intelligence in Pharmaceutical and Healthcare Research
An Efficient Multi-Scale Anchor Box Approach to Detect Partial Faces from a Video Sequence
GTDOnto: An Ontology for Organizing and Modeling Knowledge about Global Terrorism
Detection of Biased Phrases in the Wiki Neutrality Corpus for Fairer Digital Content Management Using Artificial Intelligence
Efficient Method for Continuous IoT Data Stream Indexing in the Fog-Cloud Computing Level
Leveraging Large Language Models for Sustainable and Inclusive Web Accessibility
A Systematic Review of Blockchain Technology Adoption Barriers and Enablers for Smart and Sustainable Agriculture
Big Data Management Canvas: A Reference Model for Value Creation from Data
Deep Clustering-Based Anomaly Detection and Health Monitoring for Satellite Telemetry
Sign-to-Text Translation from Panamanian Sign Language to Spanish in Continuous Capture Mode with Deep Neural Networks
A Framework for Content-Based Search in Large Music Collections
3D Urban Digital Twinning on the Web with Low-Cost Technology: 3D Geospatial Data and IoT Integration for Wellness Monitoring
Image First or Text First? Optimising the Sequencing of Modalities in Large Language Model Prompting and Reasoning Tasks
Spatial Sound in a 3D Virtual Environment: All Bark and No Bite?
Real-Time Algal Monitoring Using Novel Machine Learning Approaches
Face Liveness Detection Using Artificial Intelligence Techniques: A Systematic Literature Review and Future Directions
Argumentation-Based Query Answering under Uncertainty with Application to Cybersecurity
GeoLOD: A Spatial Linked Data Catalog and Recommender
CrowDSL: Platform for Incidents Management in a Smart City Context
Multi-State Synchronization of Chaotic Systems with Distributed Fractional Order Derivatives and Its Application in Secure Communications
Managing Cybersecurity Threats and Increasing Organizational Resilience
Locating Source Code Bugs in Software Information Systems Using Information Retrieval Techniques
Analysis of Nonlinear Bypass Route Computation for Wired and Wireless Network Cooperation Recovery System
Home Electricity Sourcing: An Automated System to Optimize Prices for Dynamic Electricity Tariffs
Processing Big Data with Apache Hadoop in the Current Challenging Era of COVID-19
Artificial Intelligence-Enhanced Predictive Insights for Advancing Financial Inclusion: A Human-Centric AI-Thinking Approach
An Improved Deep Learning Framework for Multimodal Medical Data Analysis
Revisiting Gradient Boosting-Based Approaches for Learning Imbalanced Data: A Case of Anomaly Detection on Power Grids
A Mixed Malay-English Language COVID-19 Twitter Dataset: A Sentiment Analysis
Performing Wash Trading on NFTs: Is the Game Worth the Candle?
A Review of Facial Landmark Extraction in 2D Images and Videos Using Deep Learning
Person Re-Identification via Pyramid Multipart Features and Multi-Attention Framework
An Intelligent Automatic Human Detection and Tracking System Based on Weighted Resampling Particle Filtering
The "Unreasonable" Effectiveness of the Wasserstein Distance in Analyzing Key Performance Indicators of a Network of Stores
Big Data Analytics with the Multivariate Adaptive Regression Splines to Analyze Key Factors Influencing Accident Severity in Industrial Zones of Thailand: A Study on Truck and Non-Truck Collisions
An Emergency Event Detection Ensemble Model Based on Big Data
Mass Generation of Programming Learning Problems from Public Code Repositories
Fair-CMNB: Advancing Fairness-Aware Stream Learning with Naïve Bayes and Multi-Objective Optimization
A New Ontology-Based Method for Arabic Sentiment Analysis
"What Can ChatGPT Do?" Analyzing Early Reactions to the Innovative AI Chatbot on Twitter
Exploring Extended Realities in Environmental Artistic Expression through Interactive Video Projections
Exploring IoT and Blockchain: A Comprehensive Survey on Security, Integration Strategies, Applications and Future Research Directions
Pervasive Auto-Scaling Method for Improving the Quality of Resource Allocation in Cloud Platforms
Combination of Deep Cross-Stage Partial Network and Spatial Pyramid Pooling for Automatic Hand Detection
Integrating Social Relationships and Personality into MAS-Based Group Recommendations
A Reasonable Effectiveness of Features in Modeling Visual Perception of User Interfaces
Moving Object Detection Based on a Combination of Kalman Filter and Median Filtering
Artificial Intelligence Techniques for Sustainable Reconfigurable Manufacturing Systems: An AI-Powered Decision-Making Application Using Large Language Models
Parsing Old English with Universal Dependencies - The Impacts of Model Architectures and Dataset Sizes
Semantic Similarity of Common Verbal Expressions in Older Adults through a Pre-Trained Model
Social Trend Mining: Lead or Lag
Tri-Collab: A Machine Learning Project to Leverage Innovation Ecosystems in Portugal
How Cyber Security Enhances Trust and Commitment to Customer Retention: The Mediating Role of Robotic Service Quality
Reconciling Tensions in Security Operations Centers a Paradox Theory Approach
Supervised Density-Based Metric Learning Based on Bhattacharya Distance for Imbalanced Data Classification Problems
Application of Natural Language Processing and Genetic Algorithm to Fine-Tune Hyperparameters of Classifiers for Economic Activities Analysis
GANs and Artificial Facial Expressions in Synthetic Portraits
Breast Cancer Diagnosis System Based on Semantic Analysis and Choquet Integral Feature Selection for High Risk Subjects
An Efficient and Secure Big Data Storage in Cloud Environment by Using Triple Data Encryption Standard
An Ensemble-Learning-Based Technique for Bimodal Sentiment Analysis
Fine-Grained Algorithm for Improving KNN Computational Performance on Clinical Trials Text Classification
Deep One-Directional Neural Semantic Siamese Network for High-Accuracy Fact Verification
Unleashing the Potentials of Quantum Probability Theory for Customer Experience Analytics
The Impact of Big Data Adoption on SMEs' Performance
Prediction of Preeclampsia Using Machine Learning and Deep Learning Models: A Review
An End-to-End Scene Text Recognition for Bilingual Text
Acknowledgement to Reviewers of BDCC in 2017
Function Modeling Improves the Efficiency of Spatial Modeling Using Big Data from Remote Sensing
A Recursive Attribute Reduction Algorithm and Its Application in Predicting the Hot Metal Silicon Content in Blast Furnaces
Image-Based Leaf Disease Recognition Using Transfer Deep Learning with a Novel Versatile Optimization Module
AI Based Emotion Detection for Textual Big Data: Techniques and Contribution
Big Data in Criteria Selection and Identification in Managing Flood Disaster Events Based on Macro Domain PESTEL Analysis: Case Study of Malaysia Adaptation Index
Innovative Robotic Technologies and Artificial Intelligence in Pharmacy and Medicine: Paving the Way for the Future of Health Care - A Review
Modeling the Effect of Prior Knowledge on Memory Efficiency for the Study of Transfer of Learning: A Spiking Neural Network Approach
Interpretable Emotion Estimation in Indoor Remote Work Environments via Environmental Sensor Data
Harnessing the Distributed Computing Paradigm for Laser-Induced Breakdown Spectroscopy
Subjective Assessment of a Built Environment by ChatGPT, Gemini and Grok: Comparison with Architecture, Engineering and Construction Expert Perception
HAMCap: A Weak-Supervised Hybrid Attention-Based Capsule Neural Network for Fine-Grained Climate Change Debate Analysis
Text Mining in Big Data Analytics
Strong Cognitive Symbiosis: Cognitive Computing for Humans
Topical and Non-Topical Approaches to Measure Similarity between Arabic Questions
A Comparative Analysis of Sentence Transformer Models for Automated Journal Recommendation Using PubMed Metadata
Does Social Media Enhance Job Performance? Examining Internal Communication and Teamwork as Mediating Mechanisms
Introducing a Novel Fast Neighbourhood Component Analysis-Deep Neural Network Model for Enhanced Driver Drowsiness Detection
Optimized Resource Allocation Algorithm for a Deadline-Aware IoT Healthcare Model
Research on a Crime Spatiotemporal Prediction Method Integrating Informer and ST-GCN: A Case Study of Four Crime Types in Chicago
Big Data and Climate Change
OTNEL: A Distributed Online Deep Learning Semantic Annotation Methodology
Smart Cities, Big Data, and Sustainability Union
A Secure Data Publishing and Access Service for Sensitive Data from Living Labs: Enabling Collaboration with External Researchers via Shareable Data
A Novel Multimodal Data Fusion Framework: Enhancing Prediction and Understanding of Inter-State Cyberattacks
A Novel Method of Exploring the Uncanny Valley in Avatar Gender(Sex) and Realism Using Electromyography
Future-Ready Strategic Oversight of Multiple Artificial Superintelligence-Enabled Adaptive Learning Systems via Human-Centric Explainable AI-Empowered Predictive Optimizations of Educational Outcomes
Analysis of the Effect of Attention Mechanism on the Accuracy of Deep Learning Models for Fake News Detection
Hybrid Siamese Network for Unconstrained Face Verification and Clustering under Limited Resources
Fuzzy Neural Network Expert System with an Improved Gini Index Random Forest-Based Feature Importance Measure Algorithm for Early Diagnosis of Breast Cancer in Saudi Arabia
A Combined System Metrics Approach to Cloud Service Reliability Using Artificial Intelligence
Edge Machine Learning: Enabling Smart Internet of Things Applications
Low-Cost Embedded System Applications for Smart Cities
A Network-Based Analysis of a Worksite Canteen Dataset
Refining Preference-Based Recommendation with Associative Rules and Process Mining Using Correlation Distance
CNN-Based Framework for Classifying COVID-19, Pneumonia, and Normal Chest X-Rays
White Blood Cell Classification Using Multi-Attention Data Augmentation and Regularization
Evaluating Task-Level CPU Efficiency for Distributed Stream Processing Systems
Context-Based Patterns in Machine Learning Bias and Fairness Metrics: A Sensitive Attributes-Based Approach
Enhancing Deep Learning Sustainability by Synchronized Multi Augmentation with Rotations and Multi-Backbone Architectures
The Dataset for Optimal Circulant Topologies
Examining the User Engagement on Mind-Sport Online Games: A Social Cognitive Theory and Word-of-Mouth Based Model Proposal
Contact Tracing Strategies for COVID-19 Prevention and Containment: A Scoping Review
A New Big Data Processing Framework for the Online Roadshow
Development of Context-Based Sentiment Classification for Intelligent Stock Market Prediction
Artificial Intelligence in the Interpretation of Videofluoroscopic Swallow Studies: Implications and Advances for Speech-Language Pathologists
Enhancing POI Recognition with Micro-Level Tagging and Deep Learning
Explore Big Data Analytics Applications and Opportunities: A Review
Explainable Multi-Hop Question Answering: A Rationale-Based Approach
Bayesian Deep Neural Networks with Agnostophilic Approaches
Big Data Analytics in Supply Chain Management: A Systematic Literature Review and Research Directions
Promoting Agritourism in Poland with Ready-Made Digital Components and Rustic Cyberfolklore
A Pruning Method Based on Feature Map Similarity Score
EnviroStream: A Stream Reasoning Benchmark for Environmental and Climate Monitoring
Network Traffic Analysis Based on Graph Neural Networks: A Scoping Review
The Use of Large Language Models in Ophthalmology: A Scoping Review on Current Use-Cases and Considerations for Future Works in This Field
Detection and Classification of Human-Carrying Baggage Using DenseNet-161 and Fit One Cycle
Application of Inverse Optimization Algorithms in Neural Network Models for Short-Term Stock Price Forecasting
Global Solutions vs. Local Solutions for the AI Safety Problem
Big Data and Its Applications in Smart Real Estate and the Disaster Management Life Cycle: A Systematic Analysis
Big Data and Personalisation for Non-Intrusive Smart Home Automation
A Linguistic q-Rung Orthopair ELECTRE II Algorithm for Fuzzy Multi-Criteria Ontology Ranking
Improving Synthetic Data Generation Through Federated Learning in Scarce and Heterogeneous Data Scenarios
Electroencephalography-Based Motor Imagery Classification Using Multi-Scale Feature Fusion and Adaptive Lasso
What Is (Not) Big Data Based on Its 7Vs Challenges: A Survey
Text Classification Based on the Heterogeneous Graph Considering the Relationships between Documents
A Guide to Data Collection for Computation and Monitoring of Node Energy Consumption
Machine Learning Approaches for Predicting Risk of Cardiometabolic Disease among University Students
Stacked Community Prediction: A Distributed Stacking-Based Community Extraction Methodology for Large Scale Social Networks
The Development of Data Science: Implications for Education, Employment, Research, and the Data Revolution for Sustainable Development
Improved Particle Swarm Optimization Based on Fuzzy Controller Fusion of Multiple Strategies for Multi-Robot Path Planning
Artificial Intelligence in Digital Marketing: Towards an Analytical Framework for Revealing and Mitigating Bias
Wildfire Prediction in British Columbia Using Machine Learning and Deep Learning Models: A Data-Driven Framework
Patient Satisfaction with the Mawiidi Hospital Appointment Scheduling Application: Insights from the Information Systems Success Model and Technology Acceptance Model in a Moroccan Healthcare Setting
Heterogeneous Traffic Condition Dataset Collection for Creating Road Capacity Value
Real-Time End-to-End Speech Emotion Recognition with Cross-Domain Adaptation
Comparing Hierarchical Approaches to Enhance Supervised Emotive Text Classification
Evaluating the Impact of Artificial Intelligence Tools on Enhancing Student Academic Performance: Efficacy Amidst Security and Privacy Concerns
Prototype of Mobile Device to Contribute to Urban Mobility of Visually Impaired People
Weakly-Supervised Image Semantic Segmentation Based on Superpixel Region Merging
MOBDA: Microservice-Oriented Big Data Architecture for Smart City Transport Systems
The Global Cyber Security Model: Counteracting Cyber Attacks through a Resilient Partnership Arrangement
A Consistency-Aware Hybrid Static-Dynamic Multivariate Network for Forecasting Industrial Key Performance Indicators
Proposal for Customer Identification Service Model Based on Distributed Ledger Technology to Transfer Virtual Assets
On Developing Generic Models for Predicting Student Outcomes in Educational Data Mining
The Role of ChatGPT in Data Science: How AI-Assisted Conversational Interfaces Are Revolutionizing the Field
Polarity of Yelp Reviews: A BERT-LSTM Comparative Study
International Classification of Diseases Prediction from MIMIIC-III Clinical Text Using Pre-Trained ClinicalBERT and NLP Deep Learning Models Achieving State of the Art
Breast Cancer Classification Using Concatenated Triple Convolutional Neural Networks Model
Development of Framework for Aggregation and Visualization of Three-Dimensional (3D) Spatial Data
E-SATNet: Evaluating Student Satisfaction with Lecturer Responses in Asynchronous Online Discussions Using Sentiment and Semantic Similarity Analysis
A Review of Local Outlier Factor Algorithms for Outlier Detection in Big Data Streams
Toward the Mass Adoption of Blockchain: Cross-Industry Insights from DeFi, Gaming, and Data Analytics
Integrating Generative AI in Hackathons: Opportunities, Challenges, and Educational Implications
Determining the Factors Influencing Business Analytics Adoption at Organizational Level: A Systematic Literature Review
Mixture of Attention Variants for Modal Fusion in Multi-Modal Sentiment Analysis
A Centrality-Weighted Bidirectional Encoder Representation from Transformers Model for Enhanced Sequence Labeling in Key Phrase Extraction from Scientific Texts
ACUX Recommender: A Mobile Recommendation System for Multi-Profile Cultural Visitors Based on Visiting Preferences Classification
A Computational-Cognitive Model of Audio-Visual Attention in Dynamic Environments
Factors Affecting Single and Multivehicle Motorcycle Crashes: Insights from Day and Night Analysis Using XGBoost-SHAP Algorithm
Enhancing Recommendation Systems with Real-Time Adaptive Learning and Multi-Domain Knowledge Graphs
Automatic Diagnosis of Epileptic Seizures in EEG Signals Using Fractal Dimension Features and Convolutional Autoencoder Method
Crafting a Museum Guide Using ChatGPT4
Fusion of Sentiment and Market Signals for Bitcoin Forecasting: A SentiStack Network Based on a Stacking LSTM Architecture
Long-Term Forecasting of Solar Irradiation in Riyadh, Saudi Arabia, Using Machine Learning Techniques
Understanding the Influence of Genre-Specific Music Using Network Analysis and Machine Learning Algorithms
Efficient Trajectory Prediction Using Check-In Patterns in Location-Based Social Network
A Better Mechanistic Understanding of Big Data through an Order Search Using Causal Bayesian Networks
Behavioral Analysis of Android Riskware Families Using Clustering and Explainable Machine Learning
AHEAD: A Novel Technique Combining Anti-Adversarial Hierarchical Ensemble Learning with Multi-Layer Multi-Anomaly Detection for Blockchain Systems
State of the Art and Future Directions of Small Language Models: A Systematic Review
NLA-Bit: A Basic Structure for Storing Big Data with Complexity O(1)
Industrial Insights on Digital Twins in Manufacturing: Application Landscape, Current Practices, and Future Needs
Using an Evidence-Based Approach for Policy-Making Based on Big Data Analysis and Applying Detection Techniques on Twitter
The Emerging Role of Blockchain Technology Applications in Routine Disease Surveillance Systems to Strengthen Global Health Security
Two-Level Fault Diagnosis of SF6 Electrical Equipment Based on Big Data Analysis
Semantic Ontology-Based Approach to Enhance Arabic Text Classification
A Complex Network Science Perspective on Urban Parcel Locker Placement
Data-Driven Fracture Morphology Prognosis from High Pressured Modified Proppants Based on Stochastic-Adam-RMSprop Optimizers; tf.NNR Study
Intelligent Security Model for Password Generation and Estimation Using Hand Gesture Features
From data Processing to Knowledge Processing: Working with Operational Schemas by Autopoietic Machines
Threat Hunting Architecture Using a Machine Learning Approach for Critical Infrastructures Protection
Fit Talks: Forecasting Fitness Awareness in Saudi Arabia Using Fine-Tuned Transformers
Predicting College Enrollment for Low-Socioeconomic-Status Students Using Machine Learning Approaches
Impact on Classification Process Generated by Corrupted Features
Exploring Predictive Modeling for Food Quality Enhancement: A Case Study on Wine
Exploring the Boundaries Between LLM Code Clone Detection and Code Similarity Assessment on Human and AI-Generated Code
Building Trust in Conversational AI: A Review and Solution Architecture Using Large Language Models and Knowledge Graphs
Modeling, Evaluating, and Applying the eWoM Power of Reddit Posts
Identifying Methodological Language in Psychology Abstracts: A Machine Learning Approach Using NLP and Embedding-Based Clustering
Semantic Reasoning Using Standard Attention-Based Models: An Application to Chronic Disease Literature
Discovering Key Successful Factors of Mobile Advertisements Using Feature Selection Approaches
An Analysis of the Severity of Alcohol Use Disorder Based on Electroencephalography Using Unsupervised Machine Learning
Large Scale Product Recommendation of Supermarket Ware Based on Customer Behaviour Analysis
EffResUNet: Encoder Decoder Architecture for Cloud-Type Segmentation
Development of a Predictive Model for the Biological Activity of Food and Microbial Metabolites Toward Estrogen Receptor Alpha (ERα) Using Machine Learning
Welcome to the New Interdisciplinary Journal Combining Big Data and Cognitive Computing
Indoor Localization for Personalized Ambient Assisted Living of Multiple Users in Multi-Floor Smart Environments
Cancer Detection Using a New Hybrid Method Based on Pattern Recognition in MicroRNAs Combining Particle Swarm Optimization Algorithm and Artificial Neural Network
Exploring Named Entity Recognition via MacBERT-BiGRU and Global Pointer with Self-Attention
ECQV-Based Lightweight Revocable Authentication Protocol for Electric Vehicle Charging
Sentiment Analysis and Text Analysis of the Public Discourse on Twitter about COVID-19 and MPox
Ransomware Detection Using Machine Learning: A Survey
Cognitive Network Science Reveals Bias in GPT-3, GPT-3.5 Turbo, and GPT-4 Mirroring Math Anxiety in High-School Students
Classification of Scientific Documents in the Kazakh Language Using Deep Neural Networks and a Fusion of Images and Text
Confidential Intelligent Traffic Light Control System: Prevention of Unauthorized Traceability
Semi-Open Set Object Detection Algorithm Leveraged by Multi-Modal Large Language Models
Music Genre Classification Using Prosodic, Stylistic, Syntactic and Sentiment-Based Features
Applying Additional Auxiliary Context Using Large Language Model for Metaphor Detection
ADD: Attention-Based DeepFake Detection Approach
Adoption Case of IIoT and Machine Learning to Improve Energy Consumption at a Process Manufacturing Firm, under Industry 5.0 Model
Breast and Lung Anticancer Peptides Classification Using N-Grams and Ensemble Learning Techniques
Big Data in Construction: Current Applications and Future Opportunities
Twi Machine Translation
Effects of Neuro-Cognitive Load on Learning Transfer Using a Virtual Reality-Based Driving System
An XGBoost Approach to Predictive Modelling of Rift Valley Fever Outbreaks in Kenya Using Climatic Factors
Lightweight AI Framework for Industry 4.0 Case Study: Water Meter Recognition
Enhancing Credit Card Fraud Detection: An Ensemble Machine Learning Approach
Evaluating the Effect of Surrogate Data Generation on Healthcare Data Assessment
An Analysis of Vaccine-Related Sentiments on Twitter (X) from Development to Deployment of COVID-19 Vaccines
Explainable COVID-19 Detection on Chest X-rays Using an End-to-End Deep Convolutional Neural Network Architecture
The Data Heterogeneity Issue Regarding COVID-19 Lung Imaging in Federated Learning: An Experimental Study
A Review of Blockchain in Internet of Things and AI
Knowledge-Enhanced Prompt Learning for Few-Shot Text Classification
Operations with Nested Named Sets as a Tool for Artificial Intelligence
A Comparison of Data Quality Frameworks: A Review
Comparing Reservoir Artificial and Spiking Neural Networks in Machine Fault Detection Tasks
Complex Table Question Answering with Multiple Cells Recall Based on Extended Cell Semantic Matching
Digital Twins for Discrete Manufacturing Lines: A Review
Ensuring SDN Resilience under the Influence of Cyber Attacks: Combining Methods of Topological Transformation of Stochastic Networks, Markov Processes, and Neural Networks
LAI: Label Annotation Interaction-Based Representation Enhancement for End to End Relation Extraction
An Improved Link Prediction Approach for Directed Complex Networks Using Stochastic Block Modeling
A Comparative Study for Stock Market Forecast Based on a New Machine Learning Model
A Study on Singapore's Ageing Population in the Context of Eldercare Initiatives Using Machine Learning Algorithms
Improving Natural Language Person Description Search from Videos with Language Model Fine-Tuning and Approximate Nearest Neighbor
Screening of Potential Indonesia Herbal Compounds Based on Multi-Label Classification for 2019 Coronavirus Disease
A Formal Model of Trajectories for the Aggregation of Semantic Attributes
An Ontology Development Methodology Based on Ontology-Driven Conceptual Modeling and Natural Language Processing: Tourism Case Study
Leveraging Open Big Data from R&D Projects with Large Language Models
Hand Gesture Recognition Using Automatic Feature Extraction and Deep Learning Algorithms with Memory
A Comparative Study of MongoDB and Document-Based MySQL for Big Data Application Data Management
Developing a Robust Defensive System against Adversarial Examples Using Generative Adversarial Networks