• Predicting Visible Terms from Image Captions using Concreteness and Distributional Semantics
  • The Twitter-Lex Sentiment Analysis System
  • Two-dimensional Motif Extraction from Images: A Study using an Electrocardiogram
  • Fast Algorithms for the Capacitated Vehicle Routing Problem using Machine Learning Selection of Algorithm’s Parameters
  • End-to-End Multi-channel Neural Networks for Predicting Influenza a Virus Hosts and Antigenic Types
  • Gutenbrain: An Architecture for Equipment Technical Attributes Extraction from Piping & Instrumentation Diagrams
  • Degree Centrality Algorithms for Homogeneous Multilayer Networks
  • Towards Explainability in Modern Educational Data Mining: A Survey
  • CAP-DSDN: Node Co-association Prediction in Communities in Dynamic Sparse Directed Networks and a Case Study of Migration Flow
  • TerrorMine: Automatically Identifying the Group behind a Terrorist Attack
  • A Novel Approach towards Gap Filling of High-Frequency Radar Time-series Data
  • PatternRank: Leveraging Pretrained Language Models and Part of Speech for Unsupervised Keyphrase Extraction
  • EGAN: Generatives Adversarial Networks for Text Generation with Sentiments
  • Studying Interaction Patterns for Knowledge Graph Exploration
  • Interpretable Disease Name Estimation based on Learned Models using Semantic Representation Learning of Medical Terms
  • Long Form Question Answering Dataset Creation for Business Use Cases using Noise-Added Siamese-BERT
  • An Effective Two-stage Noise Training Methodology for Classification of Breast Ultrasound Images
  • On the Impossibility to Assure a Finite Software Concepts’ Catalog
  • A Multi-stage Multi-group Classification Model: Applications to Knowledge Discovery for Evidence-based Patient-centered Care
  • EnuwaJGX: Machine Learning Gene Prediction Software Application Model - An Innovative Method to Precision Medicine and Predictive Analysis of Visualising Mutated Genes Associated to Neurological Phenotype of Diseases
  • Monitoring Mood in a Stream of Self-reflections
  • Adapting Transformers for Detecting Emergency Events on Social Media
  • Assessing the Impact of Deep End-to-End Architectures in Ensemble Learning for Histopathological Breast Cancer Classification
  • Training Neural Networks in Single vs. Double Precision
  • Number of Attention Heads vs. Number of Transformer-encoders in Computer Vision
  • Safe Screening for Logistic Regression with ℓ –ℓ Regularization
  • Whole-slide Classification of H&E-stained Cervix Uteri Tissue using Deep Neural Networks
  • Generalization of Probabilistic Latent Semantic Analysis to k-partite Graphs
  • Tag-Set-Sequence Learning for Generating Question-answer Pairs
  • Emotional Interpretation of Opera Seria: Impact of Specifics of Drama Structure (Position Paper)
  • The Role of Data in Crisis Management Models in the Health Care Context
  • Multiple-choice Question Generation for the Chinese Language
  • Predicting Reputation Score of Users in Stack-overflow with Alternate Data
  • Learning to Estimate Crowd Size by Applying Convolutional Neural Network to Aerial Imaging Analysis
  • An Improved Support Vector Model with Recursive Feature Elimination for Crime Prediction
  • Automata-based Explainable Representation for a Complex System of Multivariate Times Series
  • Search Reliability Comparison of Two Text-based Search Algorithms in an Online Literature Database for Integrative Medicine: A Technical Report on a 32-bit to 64-bit Migration
  • Towards View-invariant Vehicle Speed Detection from Driving Simulator Images
  • Named Entity Recognition for the Extraction of Emerging Technological Knowledge from Medical Literature
  • Ontological View-driven Intensional Semantic Integration for Information Systems in a Decentralized Environment
  • Knowledge Graph-based Product Recommendations on e-Commerce Platforms
  • Inferring New Information from a Knowledge Graph in Crisis Management: A Case Study
  • Towards a Unified Multilingual Ontology for Rhetorical Figures
  • Building Eurostat Knowledge Graph
  • QART: A Framework to Transform Natural Language Questions and Answers into RDF Triples
  • Enterprise Transformation within Enterprise Engineering: Literature Review and Research Directions
  • Knowledge Integration for Commonsense Reasoning with Default Logic
  • Large Class Arabic Sign Language Recognition
  • An Ontology for Data Regulation
  • Situational Question Answering using Memory Nets
  • Evaluating and Exploring Text Fields Information Extraction into CIDOC-CRM
  • Knowledge Capture for the Design of a Technology Assessment Tool
  • An Ontology for Ontology Metrics: Creating a Shared Understanding of Measurable Attributes for Humans and Machines
  • Ontology-based Representation of Digital Devices Used in Educational Guidance
  • Trustworthy Intelligent Systems: An Ontological Model
  • Debunking the Stereotypical Ontology Development Process
  • Genetic Algorithm and Latent Semantic Analysis based Documents Summarization Technique
  • A System to Correct Toxic Expression with BERT
  • GLUON: A Reasoning-based and Natural Language Generation-based System to Explicit Ontology Design Choices
  • Simulation Model Validation based on Ontological Engineering Methods
  • A Text Similarity Study: Understanding How Differently Greek News Media Describe News Events
  • Emotional States Management for an Advanced Intelligent Tutoring System
  • Ontology for a Georeferencing Mobile System for Real Time Detection and Monitoring of Wildfires
  • Comparing Arguments in Discussions of Two Parliaments
  • Extracting Business Insights through Dynamic Topic Modeling and NER
  • Toward Building a Bilingual Dictionary for Libyan Dialect-modern Standard Arabic Machine Translation
  • Evaluation of a System for Named Entity Recognition in a Knowledge Management Ecosystem
  • A Process Model for Test Driven Development in the Big Data Domain
  • Stakeholder’s Perceptions of Value and Risks in Data Governance for the Secondary Use of Health Data
  • Decision Making with Clustered Majority Judgment
  • Stream Data Access Control Model: The Need for Data Semantics
  • Characteristics in Digital Organizational Culture: A Literature Review
  • Providing Clarity on Big Data: Discussing Its Definition and the Most Relevant Data Characteristics
  • Maturity Model for Assessment of Personalization of Higher Education
  • Decision Support for Production Control based on Machine Learning by Simulation-generated Data
  • Identifying and Assessing Knowledge Gaps in ISO 9001 Certified SMEs using a Knowledge Audit Framework
  • Knowledge Management and Benchmarking for Health Care System Development Activities
  • A Semantic Approach for Generating Graphical Representation from Aircraft Maintenance Text
  • ADmed: An Adaptive Technical Process for the Agile Development of Medical Devices
  • Cross-university Platforms as an Enabler for Knowledge Management and Transfer
  • Putting FAIR Principles in the Context of Research Information: FAIRness for CRIS and CRIS for FAIRness
  • Sharing Knowledge in the Social Media Era: Strengths and Weaknesses for Knowledge Workers
  • Virtual Reality (VR) Technology Integration in the Training Environment Leads to Behaviour Change
  • Drones for Civil Defense: A Case Study in the City of Niterói
  • Exploring the Test Driven Development of a Fraud Detection Application using the Google Cloud Platform
  • A Novel Explainable and Health-aware Food Recommender System
  • From Server-based to Web-based Translation Memory Systems: Benchmarking, Testing and Implementation in STAR7
  • Innovation in Boutique Hotels in Valletta, Malta: A Multi-level Investigation
  • Building a Data Literate Business Workforce
  • Intelligent Decision Support System for Precision Medicine; Time Series Multi-variable Approach for Data Processing
  • Empirical Evaluation of BPMN Extension Language
  • Probabilistic Graphical Models: On Reasoning, Learning, and Revision (Extended Abstract)
  • State of Knowledge-based Management in Project Networks: Case in Finnish Infrastructure Construction Sector
  • Consequences of COVID-19 Lockdown on Lebanese Adolescents’ Experience of eLearning: A Call to Action