An Index Bucketing Framework to Support Data Manipulation and Extraction of Nested Data Structures
Utilizing Data Analysis for Optimized Determination of the Current Operational State of Heating Systems
Modelling of an Untrustworthiness of Fraudulent Websites Using Machine Learning Algorithms
Learning to Rank for Query Auto-Complete with Language Modelling in Enterprise Search
Comparative Analysis of Topic Modelling Approaches on Student Feedback
Machine Learning Unravels Sex-Specific Biomarkers for Atopic Dermatitis
Reducing the Transformer Architecture to a Minimum
Efficient Neural Network Training via Subset Pretraining
Multi-Label Classification for Fashion Data: Zero-Shot Classifiers via Few-Shot Learning on Large Language Models
Optimizing High-Dimensional Text Embeddings in Emotion Identification: A Sliding Window Approach
MLN-Subdue: Substructure Discovery In Homogeneous Multilayer Networks
Flow Is Best, Fast and Scalable: The Incremental Parametric Cut for Maximum Density and Other Ratio Subgraph Problems
Federated Learning for XSS Detection: A Privacy-Preserving Approach
A Knowledge Map Mining-Based Personalized Learning Path Recommendation Solution for English Learning
RUDEUS: A Machine Learning Classification System to Study DNA-Binding Proteins
Positive-Unlabeled Learning Using Pairwise Similarity and Parametric Minimum Cuts
Evaluating the Suitability of Long Document Embeddings for Classification Tasks: A Comparative Analysis
Prompt Distillation for Emotion Analysis
Comparing Human and Machine Generated Text for Sentiment
An Explainable Classifier Using Diffusion Dynamics for Misinformation Detection on Twitter
A Network Learning Method for Functional Disability Prediction from Health Data
Enhancing Dyeing Processes with Machine Learning: Strategies for Reducing Textile Non-Conformities
Efficient Visualization of Association Rule Mining Using the Trie of Rules
Comparative Analysis of Real-Time Time Series Representation Across RNNs, Deep Learning Frameworks, and Early Stopping
Multilayer Networks: For Modeling and Analysis of Big Data
Predicting Post Myocardial Infarction Complication: A Study Using Dual-Modality and Imbalanced Flow Cytometry Data
GenCrawl: A Generative Multimedia Focused Crawler for Web Pages Classification
Antibiotic Resistance Gene Identification from Metagenomic Data Using Ensemble of Finetuned Large Language Models
Route Recommendation Based on POIs and Public Transportation
Hyperparameter Optimization for Search Relevance in E-Commerce
Approaches for Extending Recommendation Models for Food Choices in Meals
A Framework for Self-Service Business Intelligence
Decoding AI’s Evolution Using Big Data: A Methodological Approach
MAEVE: An Agnostic Dataset Generator Framework for Predicting Customer Behavior in Digital Marketing
Beyond Twitter: Exploring Alternative API Sources for Social Media Analytics
Optimizing Federated Learning for Intrusion Detection in IoT Networks
Personalization of Dataset Retrieval Results Using a Data Valuation Method
An Improved Meta-Knowledge Prompt Engineering Approach for Generating Research Questions in Scientific Literature
A Systematic Literature Review on LLM-Based Information Retrieval: The Issue of Contents Classification
A Smart Hybrid Enhanced Recommendation and Personalization Algorithm Using Machine Learning
An End-to-End Generative System for Smart Travel Assistant
Enhancing Answer Attribution for Faithful Text Generation with Large Language Models
MERGE App: A Prototype Software for Multi-User Emotion-Aware Music Management
Comparative Performance Analysis of Active Learning Strategies for the Entity Recognition Task
Intrinsic Evaluation of RAG Systems for Deep-Logic Questions
Contrato360 2.0: A Document and Database-Driven Question-Answer System Using Large Language Models and Agents
Prediction of Response to Intra-Articular Injections of Hyaluronic Acid for Knee Osteoarthritis
Comparative Analysis of Single and Ensemble Support Vector Regression Methods for Software Development Effort Estimation
Software Testing Effort Estimation Based on Machine Learning Techniques: Single and Ensemble Methods
Reviewing Machine Learning Techniques in Credit Card Fraud Detection
Enhancing LLMs with Knowledge Graphs for Academic Literature Retrieval
Integrated Evaluation of Semantic Representation Learning, BERT, and Generative AI for Disease Name Estimation Based on Chief Complaints
Insights into the Potential of Fuzzy Systems for Medical AI Interpretability
Knowledge Discovery in Optical Music Recognition: Enhancing Information Retrieval with Instance Segmentation
Text-Based Feature-Free Automatic Algorithm Selection
Knowledge Graphs Can Play Together: Addressing Knowledge Graph Alignment from Ontologies in the Biomedical Domain
Supervised Machine Learning Models and Schema Matching Techniques for Ontology Alignment
Framework for a Knowledge-Based Course Recommender System Focused on IT Career Needs
Optimization of Methods for Querying Formal Ontologies in Natural Language Using a Neural Network
Personalized Asthma Recommendation System: Leveraging Predictive Analysis and Semantic Ontology-Based Knowledge Graph
A Fuzzy Decision Support System with Semantic Knowledge Graph for Personalized Asthma Monitoring: A Conceptual Modeling
Clustering for Explainability: Extracting and Visualising Concepts from Activation
How to Surprisingly Consider Recommendations? A Knowledge-Graph-Based Approach Relying on Complex Network Metrics
Developing a Reference OntoUML Conceptual Model for Data Management Plans: Enhancing Consistency and Interoperability
SMACS: Stress Management AI Chat System
A Methodology for Interpreting Natural Language Questions and Translating into SPARQL Query over DBpedia
Semantic Capability Model for the Simulation of Manufacturing Processes
Applying the LOT Methodology to Enhance the Cinematic Heritage Archives
Semantic-Aware Validation in Model-Driven Requirements Engineering Using SHACL
owl2proto: Enabling Semantic Processing in Modern Cloud Micro-Services
Learning Knowledge Representation by Aligning Text and Triples via Finetuned Pretrained Language Models
Multidimensional Knowledge Graph Embeddings for International Trade Flow Analysis
Benchmarking the Ability of Large Language Models to Reason About Event Sets
Collaboration Patterns Ontology for Human-Machine Decision Support
Adapter-Based Approaches to Knowledge-Enhanced Language Models: A Survey
Quantifying Domain-Application Knowledge Mismatch in Ontology-Guided Machine Learning
Traffic Detection and Forecasting from Social Media Data Using a Deep Learning-Based Model, Linguistic Knowledge, Large Language Models, and Knowledge Graphs
An Holistic Approach to Diagnostic and Therapeutic Care Pathways Management
Towards Developing an Ontology for a Digital Twin in Battery Testing
Extracting API Structures from Documentation to Create Virtual Knowledge Graphs
Linking Digital Twin Design and Ontologies with Model-Driven Engineering: Application to Railway Infrastructure
Extending DEMO Action Rule Specifications’ Syntax in a Low Code Platform Based Municipality Hearing System Implementation
HTEKG: A Human-Trait-Enhanced Literary Knowledge Graph with Language Model Evaluation
Elementary Multiperspective Material Ontology: Leveraging Perspectives via a Showcase of EMMO-Based Domain and Application Ontologies
On the Use of Ontologies for Defining, Generating and Exploring the Resulting Simulations of Application Level Protocols
Automatic Transcription Systems: A Game Changer for Court Hearings
Scientific Claim Verification with Fine-Tuned NLI Models
Data Governance to Be a Data-Driven Organization
Smart Data Stewardship: Innovating Governance and Quality with AI
Semantic Support Points for on the Fly Knowledge Encoding in Heterogenous Systems
EX-DSS: An Explorative Decision Support System for Designing and Deploying Smart Plug Forecasting Pipelines
Assessing the Use of Online Platforms in Sharing Tacit Knowledge in Innovation Networks
Development of a Concept Map Evaluation Support System for Social Studies Learning
Values and Enablers of Lessons Learned Practices: Investigating Construction Industry Context
Evaluation of the Contribution of Knowledge Management to Efficiency in the Manufacturing Industry Through Machine Learning
A Comprehensive Approach for Graph Data Warehouse Design: A Case Study for Learning Path Recommendation Based on Career Goals
Exploring Centralized, Decentralized, and Hybrid Approaches to Micro-Credential Issuance in HEI Alliances
Evaluating Healthcare Automation: A Multi-Case Study on the Utilization of Automation Initiatives in Healthcare Operations
Knowledge Management in Civil Protection at the Example of Fire Brigades
Charting the Transformation of Enterprise Information Management: AI Explainability and Transparency in EIM Practice
Digital Transformation of B2B Sales Processes
Sales Development in Business-to-Business Markets
Importance of Context Awareness in NLP
Uncertainty Analysis in Population-Based Dynamic Microsimulation Models: A Review of Literature
Exploring Knowledge Sharing Motivational Factors for Intellectual Property Lawyers: A Conceptual Framework
How Organizational Improvisational, Transformational Leadership Styles Impact Innovation Performance of Start-Up Companies in VUCA Environments
Performing Entity Relationship Model Extraction from Data and Schema Information as a Basis for Data Integration
FAIRlead: A Conceptual Framework for a Model Driven Software Development Approach in the Field of FAIR Data Management
Knowledge Pyramid Perspective of the Political Data Ecosystem: A Case Study of Bhutan
Support Learning Design and Analytics with EduP Knowledge Model
Crafting the Future: Developing and Evaluating a Digital Mindset Competence Model for the Industrial Craft Sector
Using Formal Concept Analysis for Corpus Visualisation and Relevance Analysis
ML System Engineering Supported by a Body of Knowledge
Benchmarking of Retrieval Augmented Generation: A Comprehensive Systematic Literature Review on Evaluation Dimensions, Evaluation Metrics and Datasets
Connecting Critical Infrastructure Operators and Law Enforcement Agencies to Share Cyber Incident Information with Early Warning Systems
Development Areas in Knowledge Management Processes in Social and Health Care Services: A Pilot Study
Transforming Knowledge Management Using Generative AI: From Theory to Practice
Predicting Agricultural Product and Supplies Prices Using Artificial Intelligence
Developing an Artificial Intelligence Model to Enhance the Emotional Intelligence of Motor Vehicle Drivers for Safer Roads
Building Atlas of Knowledge Maps: Towards Smarter Collaboration
A Model for Designing Personalized and Context-Aware Nudges
Design and Evaluation of Microteaching: Emergent Learning for Acquiring Classroom Management Skill in Teacher Education
Knowledge Sharing in Financial Institutions to Assist with IT Service Management: A Thematic Analysis