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Dumitru Roman,
Xiang Ma,
Alessandro Liberale,
Alicia Arce,
Alfredo Gonzalez Naranjo
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Comparative analysis and trends in performance of identical PV panels under different climatic conditions
Dumitru Roman,
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Matteo Palmonari,
Marta Musidlowska,
Radu Prodan
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DataPACT: Compliance by Design of Data/AI Operations and Pipelines
CEUR Workshop Proceedings 2025
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ARKIV
Narges Mehran,
Nikolay Vladimirov Nikolov,
Radu Prodan,
Dumitru Roman,
Dragi Kimovski,
Frank Pallas
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ADApt: Edge Device Anomaly Detection and Microservice Replica Prediction
Christopher Maidens,
Paolo Pareti,
Dumitru Roman,
George Konstantinidis
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Automated Compliance for Data and AI Pipelines: the DataPACT Project
CEUR Workshop Proceedings 2025
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ARKIV
Soulmaz Gheisari,
Christopher Maidens,
Semih Yumusak,
Jaime Osvaldo Salas,
Paolo Pareti,
George Giamouridis
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Core Services for Compliant and Trustworthy Data Marketplaces: the EU UPCAST Project
CEUR Workshop Proceedings 2025
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ARKIV
Roberto Avogadro,
Ian Makgill,
Aleena Thomas,
Ahmet Soylu,
Dumitru Roman
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Building a Canonical Register of Public Sector Entities: Semantic Linking of Procurement Data at Scale
CEUR Workshop Proceedings 2025
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ARKIV
Shanshan Jiang,
Sondre Sørbø,
Phil Tinn,
Shang Ferheng Karim,
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LLMDap: LLM-based Data Profiling and Sharing
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Nikolay Vladimirov Nikolov,
Carl-Henrik Lien,
Arda Goknil,
Sagar Sen,
Hui Song
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Positioning LLM-Enabled Agents as Legal Compliance Aides for Data Pipelines
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Hui Song,
Arda Goknil,
Dumitru Roman,
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LUMEN: Enhancing IoT System Observability with Multi-Agent Large Language Models and Knowledge Graphs
ACM Transactions on Internet of Things (TIOT) 30. Oct 2025
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ARKIV
Inna Novalija,
Dumitru Roman,
Federico Belotti,
Vladimir Alexiev,
Luis Rei,
Roberto Avogadro
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Aisha Kelifa,
Amanda Marie Holsæter Kjær,
Shanshan Jiang,
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LLMDapCat: An LLM-based Data Catalogue System for Data Sharing and Exploration
CEUR Workshop Proceedings 2025
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ARKIV
Lokukaluge Prasad Perera,
Kostas Belibassakis,
Dumitru Roman,
Anders Oster,
Lu Ruihua
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Digital Twin Framework to Enable Green Ship Operations Towards Zero Emission Vessels—TwinShip Approach
Roy Krumpak,
Jože M. Rožanec,
Dunja Mladenić,
Zhenyu Guo,
Tao Song,
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Predicting milling overload based on sensor data: a graph-based approach
Phil Tinn,
Sondre Sørbø,
Shanshan Jiang,
Konstantinos Voutetakis,
Sotiris Moudouris Giounis,
Eleftherios Pilalis
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Pre-Meta: Priors-augmented Retrieval for LLM-based Metadata Generation
Iroshani Jayawardene,
Magdalena Skrzycki,
Xiang Ma,
Ahmet Soylu,
Dumitru Roman
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Synthetic Data Generation for Electric Vehicle Charging
Tao Liang,
Fuli Wang,
Shu Wang,
Kang Li,
Dumitru Roman,
Xuelei Mo
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Weighted sequence neural processes based uncertainty-aware machinery failure prognostic for mineral manufacturing equipment
An Ngoc Lam,
Roberto Avogadro,
Francisco Martin-Recuerda,
Brian Elvesæter,
Xiang Ma,
Erik Johan Nystad
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Towards a Toolkit for Semantic Interoperability in Data Spaces
Akif Quddus Khan,
Mihhail Matskin,
Radu Prodan,
Christoph Bussler,
Dumitru Roman,
Ahmet Soylu
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Cloud storage cost: a taxonomy and survey
Akif Quddus Khan,
Nikolay Vladimirov Nikolov,
Mihhail Matskin,
Radu Prodan,
Christoph Bussler,
Dumitru Roman
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A Taxonomy for Cloud Storage Cost
Communications in Computer and Information Science (CCIS) 2024
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ARKIV /
ARKIV
Rustem Dautov,
Hui Song,
Dumitru Roman,
Erik Johannes Husom,
Sagar Sen,
Vilija Balionyte-Merle
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INTEND: Human-Like Intelligence for Intent-Based Data Operations in the Cognitive Computing Continuum
Maryna Waszak,
Terje Moen,
Anders Hansen,
Gregory Bouquet,
Antoine Pultier,
Xiang Ma
et al.:
Vibration Sensors for Detecting Critical Events: A Case Study in Ferrosilicon Production
Akif Quddus Khan,
Mihhail Matskin,
Radu Prodan,
Christoph Bussler,
Dumitru Roman,
Ahmet Soylu
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Cost modelling and optimisation for cloud: a graph-based approach
Daniel Thilo Schroeder,
Tobias Herb,
Brian Elvesæter,
Dumitru Roman
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GraphMa: Towards new Models for Pipeline-Oriented Computation on Graphs
Akif Quddus Khan,
Mihhail Matskin,
Radu Prodan,
Christoph Bussler,
Dumitru Roman,
Ahmet Soylu
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Cloud storage tier optimization through storage object classification
Zuochen Liu,
Qingkai Wang,
Jiandong Dang,
Xiaochun Wang,
Kang Li,
Roberto Avogadro
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Developing Deep Learning based Intelligent Perception Algorithm for Thickener Equipment Monitoring
Roberto Avogadro,
Iroshani Jayawardene,
Xiang Ma,
Ahmet Soylu,
Dumitru Roman
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Koala-UI: An Interactive User Interface for Tabular Data Linking
Iroshani Jayawardene,
Dumitru Roman,
Yingxiang Zhao,
Alexsander G. Ulyashin,
Ahmet Soylu,
Xiang Ma
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Towards an Open Energy Management System for Integrated Energy Storage and Electric Vehicle Fast Charging Station
Akif Quddus Khan,
Nikolay Vladimirov Nikolov,
Mihhail Matskin,
Radu Prodan,
Christoph Bussler,
Dumitru Roman
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Towards Graph-based Cloud Cost Modelling and Optimisation
Amirhossein Layegh,
Amir Hossein Payberah,
Ahmet Soylu,
Dumitru Roman,
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ContrastNER: Contrastive-based Prompt Tuning for Few-shot NER
M.Besher Massri,
Blerina Spahiu,
Marko Grobelnik,
Vladimir Alexiev,
Matteo Palmonari,
Dumitru Roman
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Towards InnoGraph: A Knowledge Graph for AI Innovation
Baifan Zhou,
Nikolay Vladimirov Nikolov,
Zhuoxun Zheng,
Xianghui Luo,
Ognjen Savkovic,
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Scaling Data Science Solutions with Semantics and Machine Learning: Bosch Case
Lecture Notes in Computer Science (LNCS) 2023
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Dario Benvenuti,
Andrea Marrella,
Jacopo Rossi,
Nikolay Vladimirov Nikolov,
Dumitru Roman,
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A Reference Data Model to Specify Event Logs for Big Data Pipeline Discovery
Lecture Notes in Business Information Processing 2023
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ARKIV /
ARKIV
Akif Quddus Khan,
Nikolay Vladimirov Nikolov,
Mihhail Matskin,
Radu Prodan,
Christoph Bussler,
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Towards Cloud Storage Tier Optimization with Rule-Based Classification
Lecture Notes in Computer Science (LNCS) 2023
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ARKIV
Joze Rozanec,
Michael Cochez,
Ruud van Bakel,
Brian Elvesæter,
Dumitru Roman
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Graph-Scrutinizer: Towards Massive Graph Analytics and Reasoning
Joze Rozanec,
Brian Elvesæter,
Dumitru Roman,
Marko Grobelnik,
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Graph-Inceptor: Towards Extreme Data Ingestion, Massive Graph Creation and Storage
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Nikolay Nikolov,
Minhail Matskin,
Radu Prodan,
Dumitru Roman,
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Smart Data Placement Using Storage-as-a-Service Model for Big Data Pipelines
Isak Midtvedt,
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Leveraging Large Language Models and Knowledge Graphs for Disease Theory Exploration and Causal Analysis
Dessislava Petrova-Antonova,
Paolo Pareti,
Petar Tomov,
Semih Yumusak,
Christopher Maidens,
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Knowledge Graph-Driven Policy Enforcement in Urban Dataspace
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Sondre Sørbø,
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Shang Ferheng Karim,
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LLMDap: LLM-based Data Profiling and Sharing
Roberto Avogadro,
Ashish Rauniyar,
Arda Goknil,
Ahmet Soylu,
Cosmin Udroiu,
Xiang Ma
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Human-in-the-Loop Entity Linking Visualization and Refinement with KOALA-UI and the Crocodile Framework
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Gøran Brekke Svaland,
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Brian Elvesæter,
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Roy Krumpak,
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Dunja Mladenić,
Zhenyu Guo,
Tao Song,
Dumitru Roman
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Predicting milling overload based on sensor data: a graph-based approach
An Ngoc Lam,
Roberto Avogadro,
Francisco Martin-Recuerda,
Brian Elvesæter,
Xiang Ma,
Erik Johan Nystad
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Towards a Toolkit for Semantic Interoperability in Data Spaces
Iroshani Jayawardene,
Magdalena Skrzycki,
Xiang Ma,
Ahmet Soylu,
Dumitru Roman
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Synthetic Data Generation for Electric Vehicle Charging
Dumitru Roman,
Xiang Ma
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enRichMyData: Enabling Data Enrichment Pipelines for AI-driven Business Products and Services
Kai Tang,
Xiang Ma,
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Enhancing Ferroalloy Processing through Machine Learning: Bridging Theory and Practice
Zuochen Liu,
Qingkai Wang,
Jiandong Dang,
Xiaochun Wang,
Kang Li,
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Developing Deep Learning based Intelligent Perception Algorithm for Thickener Equipment Monitoring
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Iroshani Jayawardene,
Xiang Ma,
Ahmet Soylu,
Dumitru Roman
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Koala-UI: An Interactive User Interface for Tabular Data Linking
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Dumitru Roman,
Yingxiang Zhao,
Alexsander G. Ulyashin,
Ahmet Soylu,
Xiang Ma
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Towards an Open Energy Management System for Integrated Energy Storage and Electric Vehicle Fast Charging Station