yusuke1997/dblp-id-title huggingface dataset:
Federated Learning to Safeguard Patients Data: A Medical Image Retrieval Case
Insights into Industrial Efficiency: An Empirical Study of Blockchain Technology
Research on High-Reliability Energy-Aware Scheduling Strategy for Heterogeneous Distributed Systems
DPBD: Disentangling Preferences via Borrowing Duration for Book Recommendation
Seven Properties of Self-Organization in the Human Brain
A Probabilistic Data Fusion Modeling Approach for Extracting True Values from Uncertain and Conflicting Attributes
Attention-Driven Transfer Learning Model for Improved IoT Intrusion Detection
Event Detection in Wikipedia Edit History Improved by Documents Web Based Automatic Assessment
Machine Learning-Based Identifications of COVID-19 Fake News Using Biomedical Information Extraction
Gender Stereotypes in Hollywood Movies and Their Evolution over Time: Insights from Network Analysis
Evaluating the Robustness of Deep Learning Models against Adversarial Attacks: An Analysis with FGSM, PGD and CW
Predicting Early Employability of Vietnamese Graduates: Insights from Data-Driven Analysis Through Machine Learning Methods
Assessing the Impact of Temperature and Precipitation Trends of Climate Change on Agriculture Based on Multiple Global Circulation Model Projections in Malta
Deep Learning-Based Computer-Aided Classification of Amniotic Fluid Using Ultrasound Images from Saudi Arabia
Impactful Digital Twin in the Healthcare Revolution
Construction of a Person-Job Temporal Knowledge Graph Using Large Language Models
Defining Semantically Close Words of Kazakh Language with Distributed System Apache Spark
An Adaptive Unsupervised Learning Approach for Credit Card Fraud Detection
Machine Learning Techniques for Chronic Kidney Disease Risk Prediction
Knowledge Modelling and Learning through Cognitive Networks
An Improved African Vulture Optimization Algorithm for Feature Selection Problems and Its Application of Sentiment Analysis on Movie Reviews
Transformational Entrepreneurship and Digital Platforms: A Combination of ISM-MICMAC and Unsupervised Machine Learning Algorithms
A Simple Free-Text-like Method for Extracting Semi-Structured Data from Electronic Health Records: Exemplified in Prediction of In-Hospital Mortality
DTS-MixNet: Dynamic Spatiotemporal Graph Mixed Network for Anomaly Detection in Multivariate Time Series
Impact of Artificial Intelligence on COVID-19 Pandemic: A Survey of Image Processing, Tracking of Disease, Prediction of Outcomes, and Computational Medicine
RE-XswinUnet: Rotary Positional Encoding and Inter-Slice Contextual Connections for Multi-Organ Segmentation
Advances in Convolution Neural Networks Based Crowd Counting and Density Estimation
An Exploratory Study of COVID-19 Information on Twitter in the Greater Region
The Distribution and Accessibility of Elements of Tourism in Historic and Cultural Cities
A Comparative Study of Ensemble Machine Learning and Explainable AI for Predicting Harmful Algal Blooms
On-Shore Plastic Waste Detection with YOLOv5 and RGB-Near-Infrared Fusion: A State-of-the-Art Solution for Accurate and Efficient Environmental Monitoring
Quinary Classification of Human Gait Phases Using Machine Learning: Investigating the Potential of Different Training Methods and Scaling Techniques
Exploiting Content Characteristics for Explainable Detection of Fake News
Exploration of Feature Representations for Predicting Learning and Retention Outcomes in a VR Training Scenario
Data Organisation for Efficient Pattern Retrieval: Indexing, Storage, and Access Structures
COVID-19 Tweets Classification Based on a Hybrid Word Embedding Method
Performance and Board Diversity: A Practical AI Perspective
SqueezeMaskNet: Real-Time Mask-Wearing Recognition for Edge Devices
Self-Supervised Foundation Model for Template Matching
Variable Working Condition Fault Diagnosis Method for Rotating Machinery Based on Dual-Task Cognitive Cost Sensitivity
Which Way to Cope with COVID-19 Challenges? Contributions of the IoT for Smart City Projects
Explainable Pre-Trained Language Models for Sentiment Analysis in Low-Resourced Languages
DeepWings©: Automatic Wing Geometric Morphometrics Classification of Honey Bee (Apis mellifera) Subspecies Using Deep Learning for Detecting Landmarks
Analyzing Online Fake News Using Latent Semantic Analysis: Case of USA Election Campaign
Leadership Uniformity in Timeout-Based Quorum Byzantine Fault Tolerance (QBFT) Consensus
Adaptive Management of Multi-Scenario Projects in Cybersecurity: Models and Algorithms for Decision-Making
Computers' Interpretations of Knowledge Representation Using Pre-Conceptual Schemas: An Approach Based on the BERT and Llama 2-Chat Models
Yolov5 Series Algorithm for Road Marking Sign Identification
Machine Learning-Based Classification of Sulfide Mineral Spectral Emission in High Temperature Processes
Big Data and Energy Poverty Alleviation
Ship Typhoon Avoidance Route Planning Method Under Uncertain Typhoon Forecasts
Spark Configurations to Optimize Decision Tree Classification on UNSW-NB15
An AI-Based Automated Continuous Compliance Awareness Framework (CoCAF) for Procurement Auditing
Opinion-Mining on Marglish and Devanagari Comments of YouTube Cookery Channels Using Parametric and Non-Parametric Learning Models
Novel Extreme-Lightweight Fully Convolutional Network for Low Computational Cost in Microbiological and Cell Analysis: Detection, Quantification, and Segmentation
Human-Error Prevention for Autonomous Edge Software Using Minimalistic Modern C++
Survey on the Role of Mechanistic Interpretability in Generative AI
NERWS: Towards Improving Information Retrieval of Digital Library Management System Using Named Entity Recognition and Word Sense
Unveiling Sentiments: A Comprehensive Analysis of Arabic Hajj-Related Tweets from 2017-2022 Utilizing Advanced AI Models
Productivity Benchmarking Using Analytic Network Process (ANP) and Data Envelopment Analysis (DEA)
Data Obfuscation for Privacy-Preserving Machine Learning Using Quantum Symmetry Properties
Optimizations for Computing Relatedness in Biomedical Heterogeneous Information Networks: SemNet 2.0
Preparing Datasets of Surface Roughness for Constructing Big Data from the Context of Smart Manufacturing and Cognitive Computing
Using Machine Learning in Business Process Re-Engineering
Leveraging the Organisational Legacy: Understanding How Businesses Integrate Legacy Data into Their Big Data Plans
The Supermoral Singularity - AI as a Fountain of Values
X-Wines: A Wine Dataset for Recommender Systems and Machine Learning
Earthquake Insurance in California, USA: What Does Community-Generated Big Data Reveal to Us?
IoT Technologies for Livestock Management: A Review of Present Status, Opportunities, and Future Trends
An Approach Based on Recurrent Neural Networks and Interactive Visualization to Improve Explainability in AI Systems
Networks and Stories. Analyzing the Transmission of the Feminist Intangible Cultural Heritage on Twitter
Efficient and Controllable Model Compression through Sequential Knowledge Distillation and Pruning
Acknowledgement to Reviewers of Big Data and Cognitive Computing in 2019
Hierarchical Co-Attention Selection Network for Interpretable Fake News Detection
Source Robust Non-Parametric Reconstruction of Epidemic-like Event-Based Network Diffusion Processes Under Online Data
Dependency-Aware Entity-Attribute Relationship Learning for Text-Based Person Search
Exploring Scientific Collaboration Patterns from the Perspective of Disciplinary Difference: Evidence from Scientific Literature Data
Impulsive Aggression Break, Based on Early Recognition Using Spatiotemporal Features
The Next Generation Cognitive Security Operations Center: Adaptive Analytic Lambda Architecture for Efficient Defense against Adversarial Attacks
Fine-Grained Local and Global Semantic Fusion for Multimodal Image-Text Retrieval
Uncertainty-Aware δ-GLMB Filtering for Multi-Target Tracking
Almost Nobody Is Using ChatGPT to Write Academic Science Papers (Yet)
Real-Time Image Semantic Segmentation Based on Improved DeepLabv3+ Network
Digital Eye-Movement Outcomes (DEMOs) as Biomarkers for Neurological Conditions: A Narrative Review
An Experimental Evaluation of Fault Diagnosis from Imbalanced and Incomplete Data for Smart Semiconductor Manufacturing
YOLO-v5 Variant Selection Algorithm Coupled with Representative Augmentations for Modelling Production-Based Variance in Automated Lightweight Pallet Racking Inspection
A Quantum Key Distribution Routing Scheme for a Zero-Trust QKD Network System: A Moving Target Defense Approach
Research on Multimodal Transport of Electronic Documents Based on Blockchain
Social Media Analytics as a Tool for Cultural Spaces - The Case of Twitter Trending Topics
Augmenting Multimodal Content Representation with Transformers for Misinformation Detection
A Novel Approach to Learning Models on EEG Data Using Graph Theory Features - A Comparative Study
Analyzing the Effect of COVID-19 on Education by Processing Users' Sentiments
A Real-Time Vehicle Speed Prediction Method Based on a Lightweight Informer Driven by Big Temporal Data
Decision-Making Using Big Data Relevant to Sustainable Development Goals (SDGs)
NLP-Based Customer Loyalty Improvement Recommender System (CLIRS2)
Predicting Forex Currency Fluctuations Using a Novel Bio-Inspired Modular Neural Network
Deep Automation Bias: How to Tackle a Wicked Problem of AI?
Without Data Quality, There Is No Data Migration
How Does AR Technology Adoption and Involvement Behavior Affect Overseas Residents' Life Satisfaction?
A User Study of a Prototype of a Spatial Augmented Reality System for Education and Interaction with Geographic Data
Assessing the Transformation of Armed Conflict Types: A Dynamic Approach
A Novel Framework for Evaluating Polarization in Online Social Networks
Target-Oriented Opinion Words Extraction Based on Dependency Tree
Computational Techniques Enabling the Perception of Virtual Images Exclusive to the Retinal Afterimage
A Deep Learning Model of Perception in Color-Letter Synesthesia
From Fact Drafts to Operational Systems: Semantic Search in Legal Decisions Using Fact Drafts
Application of Symbolic Classifiers and Multi-Ensemble Threshold Techniques for Android Malware Detection
Exploiting Rating Prediction Certainty for Recommendation Formulation in Collaborative Filtering
Analyzing the Performance of Transformers for the Prediction of the Blood Glucose Level Considering Imputation and Smoothing
Expanding the Horizons of Situated Visualization: The Extended SV Model
Generation Z's Travel Behavior and Climate Change: A Comparative Study for Greece and the UK
LPaaS as Micro-Intelligence: Enhancing IoT with Symbolic Reasoning
Dynamic Electrocardiogram Signal Quality Assessment Method Based on Convolutional Neural Network and Long Short-Term Memory Network
Adaptive Segmentation and Statistical Analysis for Multivariate Big Data Forecasting
Optimization of Cryptocurrency Algorithmic Trading Strategies Using the Decomposition Approach
Attention Mechanism and Support Vector Machine for Image-Based E-Mail Spam Filtering
A Digital Twin Threat Survey
A Multi-Level Annotation Model for Fake News Detection: Implementing Kazakh-Russian Corpus via Label Studio
Deep Learning for Highly Accurate Hand Recognition Based on Yolov7 Model
A Mirror to Human Question Asking: Analyzing the Akinator Online Question Game
Adopting Generative AI in Higher Education: A Dual-Perspective Study of Students and Lecturers in Saudi Universities
QA-RAG: Exploring LLM Reliance on External Knowledge
Neural Network Ensemble Method for Deepfake Classification Using Golden Frame Selection
Can Telematics Improve Driving Style? The Use of Behavioral Data in Motor Insurance
Emotional Decision-Making Biases Prediction in Cyber-Physical Systems
Data-Assisted Persona Construction Using Social Media Data
Detecting and Understanding Sentiment Trends and Emotion Patterns of Twitter Users - A Study on the Demise of a Bollywood Celebrity
A Comparative Study on Detection and Recognition of Nonuniform License Plates
National Payment Switches and the Power of Cognitive Computing against Fintech Fraud
Automatic Defects Segmentation and Identification by Deep Learning Algorithm with Pulsed Thermography: Synthetic and Experimental Data
Cognitive Networks and Text Analysis Identify Anxiety as a Key Dimension of Distress in Genuine Suicide Notes
A Model Free Control Based on Machine Learning for Energy Converters in an Array
FAD-Net: Automated Framework for Steel Surface Defect Detection in Urban Infrastructure Health Monitoring
Recreating the Relationship between Subjective Wellbeing and Personality Using Machine Learning: An Investigation into Facebook Online Behaviours
A Comprehensive Spark-Based Layer for Converting Relational Databases to NoSQL
Cognitive Assessment Based on Electroencephalography Analysis in Virtual and Augmented Reality Environments, Using Head Mounted Displays: A Systematic Review
Cognitive Networks Extract Insights on COVID-19 Vaccines from English and Italian Popular Tweets: Anticipation, Logistics, Conspiracy and Loss of Trust
Clustering Algorithm to Measure Student Assessment Accuracy: A Double Study
LLM Fine-Tuning: Concepts, Opportunities, and Challenges
Spiking Neural Networks for Computational Intelligence: An Overview
ReJOOSp: Reinforcement Learning for Join Order Optimization in SPARQL
Analysis and Prediction of User Sentiment on COVID-19 Pandemic Using Tweets
ZeroTrustBlock: Enhancing Security, Privacy, and Interoperability of Sensitive Data through ZeroTrust Permissioned Blockchain
A Comprehensive Survey of MapReduce Models for Processing Big Data
Correction: Jiang et al. Assessing the Transformation of Armed Conflict Types: A Dynamic Approach. Big Data Cogn. Comput. 2025, 9, 123
From Rating Predictions to Reliable Recommendations in Collaborative Filtering: The Concept of Recommendation Reliability Classes
Diversification of Legislation Editing Open Software (LEOS) Using Software Agents - Transforming Parliamentary Control of the Hellenic Parliament into Big Open Legal Data
Automating Feature Extraction from Entity-Relation Models: Experimental Evaluation of Machine Learning Methods for Relational Learning
Enhancing Drone Detection via Transformer Neural Network and Positive-Negative Momentum Optimizers
Improving Early Detection of Dementia: Extra Trees-Based Classification Model Using Inter-Relation-Based Features and K-Means Synthetic Minority Oversampling Technique
Explainable Aspect-Based Sentiment Analysis Using Transformer Models
Deep Neural Network Analysis for Environmental Study of Coral Reefs in the Gulf of Eilat (Aqaba)
Verification of Education Credentials on European Blockchain Services Infrastructure (EBSI): Action Research in a Cross-Border Use Case between Belgium and Italy
Viability in Multiplex Lexical Networks and Machine Learning Characterizes Human Creativity
Textual Feature Extraction Using Ant Colony Optimization for Hate Speech Classification
Supporting Meteorologists in Data Analysis through Knowledge-Based Recommendations
Chinese Financial News Analysis for Sentiment and Stock Prediction: A Comparative Framework with Language Models
Social Networks Marketing and Consumer Purchase Behavior: The Combination of SEM and Unsupervised Machine Learning Approaches
Hybrid Deep Learning Models for Arabic Sign Language Recognition in Healthcare Applications
Acknowledgment to Reviewers of Big Data and Cognitive Computing in 2020
Illusion of Truth: Analysing and Classifying COVID-19 Fake News in Brazilian Portuguese Language
Online Asynchronous Learning over Streaming Nominal Data
Automatic Medical Face Mask Detection Based on Cross-Stage Partial Network to Combat COVID-19
Ontology Merging Using the Weak Unification of Concepts
Implementing a Synchronization Method between a Relational and a Non-Relational Database
An Approach for Opening Doors with a Mobile Robot Using Machine Learning Methods
Combination of Reduction Detection Using TOPSIS for Gene Expression Data Analysis
Lightweight GAN-Assisted Class Imbalance Mitigation for Apple Flower Bud Detection
A Systematic Literature Review on Diabetic Retinopathy Using an Artificial Intelligence Approach
Application of a Multi-Algorithm-Optimized CatBoost Model in Predicting the Strength of Multi-Source Solid Waste Backfilling Materials
An Item-Item Collaborative Filtering Recommender System Using Trust and Genre to Address the Cold-Start Problem
Intelligent Recommender System for Big Data Applications Based on the Random Neural Network
Towards a Refined Heuristic Evaluation: Incorporating Hierarchical Analysis for Weighted Usability Assessment
Candidate Set Expansion for Entity and Relation Linking Based on Mutual Entity-Relation Interaction
Runtime Verification-Based Safe MARL for Optimized Safety Policy Generation for Multi-Robot Systems
The Importance of AI Data Governance in Large Language Models
Evaluating the Performance of Topic Modeling Techniques with Human Validation to Support Qualitative Analysis
Deep Learning Approaches for Video Compression: A Bibliometric Analysis
Enhanced Linear and Vision Transformer-Based Architectures for Time Series Forecasting
VSA-GCNN: Attention Guided Graph Neural Networks for Brain Tumor Segmentation and Classification
Synonym Substitution Steganalysis Based on Heterogeneous Feature Extraction and Hard Sample Mining Re-Perception
Engineering Human-Machine Teams for Trusted Collaboration
Real-Time Information Derivation from Big Sensor Data via Edge Computing
Personalized Data Analysis Approach for Assessing Necessary Hospital Bed-Days Built on Condition Space and Hierarchical Predictor
An Intelligent Approach Using Machine Learning Techniques to Predict Flow in People
A Space-Time Framework for Sentiment Scope Analysis in Social Media
Gait-Based Parkinson's Disease Detection Using Recurrent Neural Networks for Wearable Systems
Neural Network IDS/IPS Intrusion Detection and Prevention System with Adaptive Online Training to Improve Corporate Network Cybersecurity, Evidence Recording, and Interaction with Law Enforcement Agencies
Comparative Study between Big Data Analysis Techniques in Intrusion Detection
A Data Mining Approach to Identify NBA Player Quarter-by-Quarter Performance Patterns
Digital Twin Four-Dimension Fusion Modeling Method Design and Application to the Discrete Manufacturing Line
Toward Morphologic Atlasing of the Human Whole Brain at the Nanoscale
Enhanced Face Recognition in Crowded Environments with 2D/3D Features and Parallel Hybrid CNN-RNN Architecture with Stacked Auto-Encoder
Two-Stage PNN-SVM Ensemble for Higher Education Admission Prediction
Constrained Optimization-Based Extreme Learning Machines with Bagging for Freezing of Gait Detection
Big Data Analytics for Search Engine Optimization
Predictors of Smartphone Addiction and Social Isolation among Jordanian Children and Adolescents Using SEM and ML
Customized Rule-Based Model to Identify At-Risk Students and Propose Rational Remedial Actions
A Trusted Supervision Paradigm for Autonomous Driving Based on Multimodal Data Authentication
Advancing Dental Diagnostics: A Review of Artificial Intelligence Applications and Challenges in Dentistry
A Multi-Modality Deep Network for Cold-Start Recommendation
Rebalancing in Supervised Contrastive Learning for Long-Tailed Visual Recognition
Learning Performance of International Students and Students with Disabilities: Early Prediction and Feature Selection through Educational Data Mining
Assessment of Security KPIs for 5G Network Slices for Special Groups of Subscribers
The Predictive Power of a Twitter User's Profile on Cryptocurrency Popularity
AI-Generated Text Detector for Arabic Language Using Encoder-Based Transformer Architecture
Optimizing Convolutional Neural Network Architectures with Optimal Activation Functions for Pediatric Pneumonia Diagnosis Using Chest X-Rays
Sentiment Informed Sentence BERT-Ensemble Algorithm for Depression Detection
Large Language Models as Kuwaiti Annotators
Áika: A Distributed Edge System for AI Inference
A Dynamic Intelligent Policies Analysis Mechanism for Personal Data Processing in the IoT Ecosystem
Ontology Matching Method Based on Deep Learning and Syntax
A Complete VADER-Based Sentiment Analysis of Bitcoin (BTC) Tweets during the Era of COVID-19
Listening to Patients: Advanced Arabic Aspect-Based Sentiment Analysis Using Transformer Models Towards Better Healthcare
Reimagining Robots: The Future of Cybernetic Organisms with Energy-Efficient Designs
Leveraging Large Language Models for Enhancing Literature-Based Discovery
Cybersecurity Awareness Assessment among Trainees of the Technical and Vocational Training Corporation
Comparative Study of Filtering Methods for Scientific Research Article Recommendations
An Improved Pattern Sequence-Based Energy Load Forecast Algorithm Based on Self-Organizing Maps and Artificial Neural Networks
Comparative Analysis of Backbone Networks for Deep Knee MRI Classification Models
Analysis of Shots Trajectory and Effectiveness in Women's and Men's Football European Championship Matches
Evaluation Method of Electric Vehicle Charging Station Operation Based on Contrastive Learning
PruneEnergyAnalyzer: An Open-Source Toolkit for Evaluating Energy Consumption in Pruned Deep Learning Models
Mapping Distributional Semantics to Property Norms with Deep Neural Networks
Semi-Supervised Classification with A*: A Case Study on Electronic Invoicing
Design of an Efficient Model for Psychological Disease Analysis and Prediction Using Machine Learning and Genomic Data Samples
An End-to-End Online Traffic-Risk Incident Prediction in First-Person Dash Camera Videos
Two-Stage Method for Clothing Feature Detection
Arabic Opinion Classification of Customer Service Conversations Using Data Augmentation and Artificial Intelligence
Hydria: An Online Data Lake for Multi-Faceted Analytics in the Cultural Heritage Domain
Predicting Cell Cleavage Timings from Time-Lapse Videos of Human Embryos
Demo-ToT: Enhancing the Reasoning Capabilities of AI Agent via Improved Demonstrations Retrieval Strategy
Applications and Challenges of Federated Learning Paradigm in the Big Data Era with Special Emphasis on COVID-19
DETEC-ADHD: A Data-Driven Web App for Early ADHD Detection Using Machine Learning and Electroencephalography
Classification and Recognition of Lung Sounds Using Artificial Intelligence and Machine Learning: A Literature Review
Towards AI Welfare Science and Policies
Quantifying Post-Purchase Service Satisfaction: A Topic-Emotion Fusion Approach with Smartphone Data
Lightweight Multimodal Adapter for Visual Object Tracking
An Adaptable Big Data Value Chain Framework for End-to-End Big Data Monetization
Cybercrime Risk Found in Employee Behavior Big Data Using Semi-Supervised Machine Learning with Personality Theories
Unraveling the Impact of Land Cover Changes on Climate Using Machine Learning and Explainable Artificial Intelligence
Real-Time Attention Monitoring System for Classroom: A Deep Learning Approach for Student's Behavior Recognition
DSpamOnto: An Ontology Modelling for Domain-Specific Social Spammers in Microblogging
A Novel Approach for Diabetic Retinopathy Screening Using Asymmetric Deep Learning Features
A Review of Large Language Models in Healthcare: Taxonomy, Threats, Vulnerabilities, and Framework
StEduCov: An Explored and Benchmarked Dataset on Stance Detection in Tweets towards Online Education during COVID-19 Pandemic
A Comprehensive Evaluation of Embedding Models and LLMs for IR and QA Across English and Italian
Improving Real Estate Rental Estimations with Visual Data
Per-Flow Throughput Fairness in Ring Aggregation Network with Multiple Edge Routers
Real-Time Monitoring of Road Networks for Pavement Damage Detection Based on Preprocessing and Neural Networks
Twitter Analyzer - How to Use Semantic Analysis to Retrieve an Atmospheric Image around Political Topics in Twitter
A Hybrid Deep Learning Framework with Decision-Level Fusion for Breast Cancer Survival Prediction
Cognitive Computing and Business Intelligence Applications in Accounting, Finance and Management
Time-Series Feature Extraction by Return Map Analysis and Its Application to Bearing-Fault Detection
Detection of Hate Speech, Racism and Misogyny in Digital Social Networks: Colombian Case Study