💡Big news ! ExtremeXP is now part of the EU Data+ cluster, reinforcing our commitment to innovation and collaboration in the data science ecosystem.
💡We are also excited to share our recent participation in key industry events ! ExtremeXP was present at AutoFair, where we engaged with partners such as George and Stavros, contributing to discussions about the ExtremeXP's objectives. You can read more here !
As always, we are committed to enhancing your experience with ExtremeXP. Stay tuned for more updates, and thank you for your continued support ! 🚀
📢 Article in journal 📢
The ExtremeXP dissemination document just got an upgrade with a fresh publication from i2CAT 📄✨
📝 Title: RBD24: A labelled dataset with risk activities using log application data ✍️ Authors: Calvo, A., Escuder, S., Ortiz, N., Escrig, J., Compastié, M. 📚 Published in: Computers & Security
This paper introduces RBD24, a labeled dataset designed to detect risky activities using log application data 🔍💻. A major step forward for cybersecurity ! 🔐🚀
Vlado is a professor of computer and information science at the Faculty of Computer and Information Science, University of Ljubljana, Slovenia.
He focuses on novel software engineering technology, semantics, distributed, edge, fog, cloud computing, artificial intelligence, digital twins and blockchain technologies and their integration.
Flagship projects include DataMiningGrid, InteliGrid, mOSAIC, SWITCH, ENTICE, and DECENTER. Vlado Stankovski is a scientific and technical coordinator of the Horizon 2020 Next Generation Internet ONTOCHAIN and TRUSTCHAIN projects.
He also participates in the ExtremeXP, ACES, BUILDCHAIN, EBSI-VECTOR and Swarmchestrate Horizon Europe projects.
He is the WP2 leader whose work provides the modelling and language foundations for experiment-driven analytics.
This includes addressing software variability aspects, experiment specification, and context, laying the groundwork for trustworthiness and traceability layers and the ExtremeXP framework's software architecture.
His contributions extend to developing novel meta-models and domain-specific modelling languages to describe and optimize complex analytics processes, enabling the specification of experiment variants mapped to user intents and contexts.
This effort includes key metrics for evaluating and refining analytics at runtime, feeding directly into other technical work packages and providing a foundation for tools like experimentation engines and monitoring facilities.
Intracom Telecom (ICOM) is a global telecommunication systems and ICT solutions vendor operating for over 45 years in the market.
The company’s core business offerings include: Wireless Access & Transmission, Telco Software Solutions; ICT Services & Smart City Solutions; Energy Solutions, Big data analytics and data-driven intelligence and; eHealth solutions.
ICOM invests annually a significant percentage of its revenue in R&D programs developing cutting-edge products and competitive solutions on an international level. It has a significant involvement in the EU Horizon 2020 research framework.
Contributions of ICOM to specific activities of the ExtremeXP project include:
Technical and Scientific Coordination of ExtremeXP, assisting the coordinator in WP1 and beyond.
Supporting the conceptual formulation and architecture of the ExtremeXP framework in WP2.
Contributing to WP3 in the deployment of the analytics workflows.
Supporting efforts in WP4 with regards to explorative visualization, user intent and feedback analyses.
Supporting activities in WP5 in implementing core services of theexperiment-driven analytics.
Leading WP6, focused on the Use Cases activities, validation and integration of services developed throughout the project.
Contributing to online presence and dissemination activities in WP7
