• Using the Silhouette Coefficient for Representative Search of Team Tactics in Noisy Data
  • Position Paper: Quality Assurance in Deep Learning Systems
  • Supporting Trainset Annotation for Text Classification of Incoming Enterprise Documents
  • From Digital Footprints to Facts: Mining Marketing Policies of the Greek Community on Instagram and Youtube
  • Development of a Semantic Database Model to Facilitate Data Analytics in Battery Cell Manufacturing
  • User Profiling: On the Road from URLs to Semantic Features
  • Maneuver-based Visualization of Similarities between Recorded Traffic Scenarios
  • Startable: Multidimensional Modelling for Column-Oriented NoSQL
  • Different Metrics Results in Text Summarization Approaches
  • The Role of Fake Review Detection in Managing Online Corporate Reputation
  • Preprocessing of Terrain Data in the Cloud using a Workflow Management System
  • Towards Decentralized Parameter Servers for Secure Federated Learning
  • Detecting Bots in Social-networks using Node and Structural Embeddings
  • Highly Automated Corner Cases Extraction: Using Gradient Boost Quantile Regression for AI Quality Assurance
  • Sensitivity Analysis using Regression Models: To Determine the Impact of Meta-level Features on the Youtube Views
  • Framework for Public Health Policy Indicators Governance and Metadata Quality Flags to Promote Data Literacy
  • A Hybrid Approach for Product Classification based on Image and Text Matching
  • Compiling Open Datasets in Context of Large Organizations while Protecting User Privacy and Guaranteeing Plausible Deniability
  • A Comparison of Automatic Labelling Approaches for Sentiment Analysis
  • Development of a Text Classification Framework using Transformer-based Embeddings
  • Feature Extraction and Failure Detection Pipeline Applied to Log-based and Production Data
  • Multitudinous Data Platform for Community Big Data
  • Towards Semantic Interoperability of Core Registers in Croatia
  • Exploratory Analysis of Chat-based Black Market Profiles with Natural Language Processing
  • Unsupervised Electrodermal Data Analysis Comparison between Biopac and Empatica E4 Data Collection Platforms
  • Analysis of Data Quality in Digital Smart Cities: The Cases of Nantes, Hamburg and Helsinki
  • Towards Indoor Radon Analytics: An OLAP-based Multidimensional Approach
  • Domain-independent Data-to-Text Generation for Open Data
  • Analyzing Cross-impact Matrices for Managerial Decision-making Problems with the DEMATEL Approach
  • Estimating the Optimal Number of Clusters from Subsets of Ensembles
  • End-to-End Data Quality: Insights from Two Case Studies
  • Prediction of Sulfur in the Hot Metal based on Data Mining and Artificial Neural Networks
  • Inferring #MeToo Experience Tweets using Classic and Neural Models
  • Students or Mechanical Turk: Who Are the More Reliable Social Media Data Labelers?
  • Using Machine Learning Methods and the Influenza Simulation System to Explore the Similarities of Taiwan’s Administrative Regions
  • Exploring Corporate Reputation based on Sentiment Polarities That Are Related to Opinions in Dutch Online Reviews
  • Improved Boosted Classification to Mitigate the Ethnicity and Age Group Unfairness
  • Working Efficiently with Large Geodata Files using Ad-hoc Queries
  • Interoperability-oriented Quality Assessment for Czech Open Data
  • Political Analytics on Election Candidates and Their Parties in Context of the US Presidential Elections 2020
  • A Formal Model to Support Discourse Semantic Landscape Analysis
  • A Model based on 2-tuple Linguistic Model and CRITIC Method for Hotel Classification
  • Automated Neoclassical Vertical Canon Validation in Human Faces with Machine Learning
  • Towards Programmable Memory Controller for Tensor Decomposition
  • Evaluation of Architectures for FAIR Data Management in a Research Data Management Use Case
  • A Two-tire Approach for Organization Name Entity Resolution
  • Line-up Optimization Model of Basketball Players and the Simulation Evaluation
  • A2P: Attention-based Memory Access Prediction for Graph Analytics
  • Using Convolutional Neural Networks for Detecting Acrylamide in Biscuit Manufacturing Process
  • Auctions and Estimates: Evidence from Indian Art Market
  • Tackling Model Drifts in Industrial Model-driven Software Product Lines by Means of a Graph Database
  • Local Personal Data Processing with Third Party Code and Bounded Leakage
  • Functional Component Descriptions for Electrical Circuits based on Semantic Technology Reasoning
  • Big Data Analysis of Ionosphere Disturbances using Deep Autoencoder and Dense Network
  • Efficient Subgraph Indexing for Biochemical Graphs
  • Slide-recommendation System: A Strategy for Integrating Instructional Feedback into Online Exercise Sessions
  • ADiBA Big Data Adoption Framework: Accelerating Big Data Revolution 5.0
  • NoSQL Document Databases Assessment: Couchbase, CouchDB, and MongoDB
  • Enhancing Biomedical Scientific Reviews Summarization with Graph-based Factual Evidence Extracted from Papers
  • Modelling of Efficient Graph-aware Data Storage using DNA
  • Clustered Majority Judgement
  • Evaluation by Simulation of the Diffusion Methods in the Cloud: Based Network Architecture for Digital Open Universities
  • Threat Modelling with the GDPR towards a Security and Privacy Metrics Framework for IoT Smart-farm Application
  • A Real-time Explainable Anomaly Detection System for Connected Vehicles
  • Real-Time Object Detection with Intel NCS2 on Hardware with Limited Resources for Low-power IoT Devices
  • PhilaeX: Explaining the Failure and Success of AI Models in Malware Detection
  • Reliability Estimation of a Smart Metering Architecture using a Monte Carlo Simulation
  • An Authenticated Accumulator Scheme for Secure Master Key Access in Microservice Architectures
  • Constructing High Quality Bilingual Corpus using Parallel Data from the Web
  • Machine Learning and Feature Engineering for Detecting Living off the Land Attacks
  • A Failure Prediction Platform for Internet of Things Applications
  • An Information Security Model for an IoT-enabled Smart Grid
  • Provisioning Security in a Next Generation Mobility as a Service System
  • Internet-of-Things Management of Medical Chairs and Wheelchairs
  • Towards a Digital Twin Framework for Connected Vehicles
  • Using Environmental Data for IoT Device Energy Harvesting Prediction
  • Reference Architecture for IoT Platforms towards Cloud Continuum based on Apache Kafka and Orchestration Methods
  • The Concept of Identifiability in ML Models
  • Implementing Test Driven Development in the Big Data Domain: A Movie Recommendation System as an Exemplary Case
  • A Semantic Security Model for Cyber-Physical Systems to Identify and Evaluate Potential Threats and Vulnerabilities
  • Factors Influencing LoRa Communication in IoT Deployment: Overview and Experience Analysis
  • A Framework for Seamless Offloading in IoT Applications using Edge and Cloud Computing
  • Advanced Lightweight Cryptography for Automotive Security: Surveys, Challenges and Solutions
  • Efficient Lightweight Cryptography Algorithm in IoT Devices with Real-time Criteria
  • A Two-level Integrated Approach for Assigning Trust Metrics to Internet of Things Devices
  • Common Cybersecurity Requirements in IoT Standards, Best Practices, and Guidelines
  • An Approach to Privacy-Preserving Distributed Intelligence for the Internet of Things
  • SIMBIoTA-ML: Light-weight, Machine Learning-based Malware Detection for Embedded IoT Devices
  • Improving Developer Productivity on Internet of Things using JavaScript
  • Automating Security in a Continuous Integration Pipeline
  • BRAIN-IoT Architecture and Platform for Building IoT Systems
  • Shifting towards Antifragile Critical Infrastructure Systems
  • Putting Chaos into Perspective: Evaluation of Statistical Test Suite Implementations on Isolated Sequences of Arbitrary Length
  • Energy Consumption of a Hexspider Robot-o as Function of Footwear and Underground: Experimental Investigations
  • Seen to Unseen: When Fuzzy Inference System Predicts IoT Device Positioning Labels That Had Not Appeared in Training Phase
  • Performance Analysis of Machine Learning Algorithms in Storm Surge Prediction