• Identifying Similar Top-K Household Electricity Consumption Patterns
  • Detecting Greenwashing in the Environmental, Social, and Governance Domains Using Natural Language Processing
  • Speech Detection of Real-Time MRI Vocal Tract Data
  • A Flexible Approach for Retrieving Geometrically Similar Finite Element Models Using Point Cloud Autoencoders
  • Fine-Tuning and Aligning Question Answering Models for Complex Information Extraction Tasks
  • Closeness Centrality Detection in Homogeneous Multilayer Networks
  • Subject Classification of Software Repository
  • Recommendation System for Product Test Failures Using BERT
  • An Explainable Knowledge Graph-Based News Recommendation System
  • A Comparative Study on Main Content Extraction Algorithms for Right to Left Languages
  • UNCOVER: Identifying AI Generated News Articles by Linguistic Analysis and Visualization
  • LAxplore: An NLP-Based Tool for Distilling Learning Analytics and Learning Design Instruments out of Scientific Publications
  • Barycentre Averaging for the Move-Split-Merge Time Series Distance Measure
  • A Personalized Book Recommender System for Adults Based on Deep Learning and Filtering
  • Enhancing Healthcare in Emergency Department Through Patient and External Conditions Profiling: A Cluster Analysis
  • Mapping Cost-Sensitive Learning for Imbalanced Medical Data: Research Trends and Applications
  • Which Word Embeddings for Modeling Web Search Queries? Application to the Study of Search Strategies
  • Deep Reinforcement Agent for Efficient Instant Search
  • Visual Counterfactual Explanations Using Semantic Part Locations
  • KRAKEN: A Novel Semantic-Based Approach for Keyphrases Extraction
  • Collaborative Emotion Annotation: Assessing the Intersection of Human and AI Performance with GPT Models
  • Approaches for Enhancing Preference Balance in Neighbor-Based Group Recommender Systems
  • Enhancing Explainable Matrix Factorization with Tags for Multi-Style Explanations
  • Enhancing Diabetic Retinopathy Detection Using CNNs with Dimensionality Reduction Techniques and K-Nearest Neighbors Ensembles
  • Attentional Sentiment and Confidence Aware Neural Recommender Model
  • Automated Classification of Building Objects Using Machine Learning
  • Impact of Thresholds of Univariate Filters for Predicting Species Distribution
  • Make Deep Networks Shallow Again
  • A Long-Term Funds Predictor Based on Deep Learning
  • DrBerry: Detection of Diseases in Blueberry Bush Leaves
  • Unified New Techniques for NP-Hard Budgeted Problems with Applications in Team Collaboration, Pattern Recognition, Document Summarization, Community Detection and Imaging
  • Easy Scaling: The Most Critical Consideration for Choosing Analytical Database Management Systems in the Cloud Era
  • Comparing Ensemble and Single Classifiers Using KNN Imputation for Incomplete Heart Disease Datasets
  • Machine Learning in Customer-Centric Web Design: The Website of a Portuguese Higher Education Institution
  • Enhancing Gesture Recognition for Sign Language Interpretation in Challenging Environment Conditions: A Deep Learning Approach
  • Evaluation of Information Retrieval Models and Query Performance Predictors for Amharic Adhoc Task
  • Evaluating the Use of Interpretable Quantized Convolutional Neural Networks for Resource-Constrained Deployment
  • Content Significance Distribution of Sub-Text Blocks in Articles and Its Application to Article-Organization Assessment
  • An Explorative Guide on How to Detect Forged Car Insurance Claims with Language Models
  • Classification of Questionnaires with Open-Ended Questions
  • Pill Metrics Learning with Multihead Attention
  • Machine Learning Models for Prostate Cancer Identification
  • Advancing Flotation Process Optimization Through Real-Time Machine Vision Monitoring: A Convolutional Neural Network Approach
  • Interdependencies and Cascading Effects of Disasters on Critical Infrastructures: An Analysis of Base Station Communication Networks
  • Mexico City’s Urban Trees Reforestation Based on Characteristics of Plantation Sites
  • Knowledge Discovery for Risk Assessment in Economic and Food Safety
  • Methodology for the Analysis of Agricultural Data in the Mexican Context: Study Case of Marigold
  • On the Value of Combiners in Heterogeneous Ensemble Effort Estimation
  • Encoding Techniques for Handling Categorical Data in Machine Learning-Based Software Development Effort Estimation
  • Challenges in Implementing a University-Based Innovation Search Engine
  • DAF: Data Acquisition Framework to Support Information Extraction from Scientific Publications
  • Enterprise Search: Learning to Rank with Click-Through Data as a Surrogate for Human Relevance Judgements
  • EvdoGraph: A Knowledge Graph for the EVDOXUS Textbook Management Service for Greek Universities
  • Development of an OWL Ontology Based on the Function-Oriented System Architecture to Support Data Synchronization Between SysML and Domain Models
  • A Novel Approach to Ontological View-Based Semantic Mapping in Decentralized Environments
  • A Data Mesh Adaptable Oil and Gas Ontology Based on Open Subsurface Data Universe (OSDU)
  • Using Paraphrasers to Detect Duplicities in Ontologies
  • Extending the Meta Model for Enterprise Systems Dynamics from a Software Tooling Perspective
  • Mechanical Fault Prediction Based on Event Knowledge Graph
  • An Ontology-Based Question-Answering, from Natural Language to SPARQL Query
  • Memory Net: Generalizable Common-Sense Reasoning over Real-World Actions and Objects
  • IoT-Enabled Agroecology: Advancing Sustainable Smart Farming Through Knowledge-Based Reasoning
  • OntoEffect: An OntoUML-Based Ontology to Explain SARS-CoV-2 Variants’ Effects
  • Discovering Ontological Knowledge in Unstructured Recipes of a Portuguese Monk from the 16th Century
  • On the Development of a Collaborative Knowledge Platform for Engineering Sciences
  • Modelling Expressions of Physical Quantities
  • Exploring User-Generated Content to Detect Community Problems: The Ontological Model of ALLEGRO
  • Towards Developing an Ontology for Safety of Navigation Sensors in Autonomous Vehicles
  • Semiotic Knowledge Models for Personal Knowledge Repositories
  • Towards Semi-Automatic Approach of Building an Ontology: A Case Study on Material Handling Data
  • Event Detection in News Articles: A Hybrid Approach Combining Topic Modeling, Clustering, and Named Entity Recognition
  • UpKG: A Framework to Insert New Domains in Knowledge Graphs
  • Towards an Ontology of Task Dependence in Organizations
  • Addressing Entity Change in Procedural Ontologies
  • Ontology-Driven Extraction of Contextualized Information from Research Publications
  • JThermodynamicsCloud: Case Study in an Ontology-Driven NoSQL Database Cloud Based Application in Chemical Domain
  • A Knowledge Layer in Data-Centric Architectures in the Automotive Industry
  • Characterizing Complex Network Properties of Knowledge Graphs
  • Developing Digital Media Service Value Creation by Using Emotion Data
  • Knowledge Graphs Alignment Based on Learning to Rank Methods
  • Knowledge Graphs Extracted from Medical Appointment Transcriptions: Results Generating Triples Relying on LLMs
  • An Approach to Developing Ontology-Based Tools for Event Series Analysis
  • Evaluating the Perceived Quality and Functionality of DEMO Models’ Representations in the Health Domain
  • Navigating Responsible AI Adoption
  • BioSTransformers for Biomedical Ontologies Alignment
  • A Methodology for Knowledge Integration and Acquisition in Model-Based Systems Engineering
  • Design a Recommendation System in Real Estate Investment Based on Context Approach
  • Enhancing Leadership and Management Effectiveness: Leveraging Actor-Network Theory for Project Risk Mitigation
  • Discovering Potential Founders Based on Academic Background
  • Emotional Intelligence: Predictor of Success and Career Advancement - A Survey of Bulgarian Digital Entrepreneurs
  • Autonomy and Turnover: A Survey Applied to Distributed Software Teams
  • Knowledge Transfer Factors for Internal Combustion Engine (ICE) Industry to Electric Vehicle (EV) Industry by Artificial Intelligent: Machine Learning
  • Improving Corporate Governance Using DAO
  • Towards Digital Transformation: Knowledge Management as an Enabler in a Public Sector Asset Lifecycle
  • Knowledge Sharing Between Higher Educational Institutions: Evaluation of a Transfer Platform
  • Bottlenecks in Regional Innovation Ecosystem: A Case on Region with Extremely Low RDI Activity
  • Using Knowledge Maps to Create a Business School Faculty Portrait
  • Challenges to Implementing Effective Data Governance: A Literature Review
  • Graph Analytics for Avian Science Data
  • Adaptive Granulation: Data Reduction at the Database Level
  • Data Mesh for Managing Complex Big Data Landscapes and Enhancing Decision Making in Organizations
  • Remote Monitoring of Heart Failure Patients Treatment Programme: Customer Experience, Expectations, Barriers and Conditions
  • The Dark Side of Sharing Knowledge in the Social Media Era: Faculty Members’ Perspectives
  • Acceptance of Digital Sales and Marketing Tools: A Customer Perspective on Intention to Use
  • Utility of Univariate Forecasting for Workload Metrics Predictions in Enterprise Applications
  • Digital Twins for Traffic Congestion in Smart Cities: A Novel Solution Using Data Mining Techniques
  • Benefits and Challenges of Robotic Process Automation
  • Explainable Intrusion Detection for Internet of Medical Things
  • Proposed Extensions to the Methodology of Technology Scouting
  • A Knowledge Graph Approach for Exploratory Search in Research Institutions
  • Digital Transformation of an OEM Development Process from a Socio-Technical Perspective: A Case Study
  • Business Intelligence, Business Analytics, and Intellectual Capital: An Opportunity for Innovation Potential in the Private Healthcare?
  • Survival Analysis as a Risk Stratification Tool for Threshold Exceedance Forecasting
  • Decoding the Language of Care: A Typology of Caregiver Utterances and Their Influence on Assistive Technology Use
  • Toward Standardization and Automation of Data Science Projects: MLOps and Cloud Computing as Facilitators
  • Ontology Proposal for Support Team: A Case Study in a Software Development Company for the Financial Market
  • A Taxonomy for Autonomous LLM-Powered Multi-Agent Architectures
  • Towards Effective Ecosystems: A Framework for Mapping Knowledge Governance and Management Activities of Innovation Ecosystems Constituent Elements
  • ZeitGeist: A Generic Tool Supporting the Dissemination of Time Series Data Following FAIR Principles
  • Tag Recommendation System for Data Catalog Site of Japanese Government
  • Knowledge Economy in the Anthropocene: A Blueprint for Urban Cities