AN AI ON-DEMAND PLATFORM TO SUPPORT RESEARCH EXCELLENCE IN EUROPE

Leistungen

These two deliverables will present the status (M14) and final (M22) linkage to resources that enable the AI community to deploy their assets locally on Cloud, HPC, Edge resources and 5G network.

Innovation Community Engagement Strategy (v1)

The deliverable will describe the strategy followed to integrate the innovation sector within the on-demand ecosystem, including innovation community, national and European plan, and the plan and actions executed to make the innovation side supporters of the AI on-demand platform.

Benchmarking Strategy

The benchmarking strategy, execution, sustainability, and next steps will be described here

Research Community Engagement Strategy (v2)

The strategy for engagement of the research community will be presented at M8 and later extended with the reporting on activities related to PhD engagement, inclusion actions, and joint efforts with NoEs, JRC and lighthouse.

Platform Architecture Report and User Guide (v2)

The architecture will be redesigned to reach a better impact, and deployable and extendable by researchers. The update will present the final architecture with an operation guide.

Integrative Planning Strategy (v2)

Integration and evaluation processes and WG suggestions. Two versions of the report.

Project management handbook

Report on all project structures and processes, critical risks, and management processes.

Dissemination, Exploitation, and Communication Plan (v1)

A report on dissemination, communication and exploitation and assessment of activities

Integrative Planning Strategy (v1)

Integration and evaluation processes and WG suggestions. Two versions of the report.

Platform Architecture Report and User Guide (v1)

The architecture will be redesigned to reach a better impact, and deployable and extendable by researchers. The update will present the final architecture with an operation guide.

Report on Platform Tools, Resources, and Services (v1)

AI on-demand tools implemented / integrated and community engagement will be described in this document (cumulatively) in the two iterations.

Hardware Sustainability Plan (v1)

The deliverable will describe the approach to configure and maintain the data of the project, the mechanisms, and libraries to link these repositories to other from European platforms and initiatives, and the repositories. The final version (M30) will describe the sustainability for these.

Report on Education Activities

The deliverable will outline the strategy, work, and sustainability of the education efforts.

Research Community Engagement Strategy (v1)

The strategy for engagement of the research community will be presented at M8 and later extended with the reporting on activities related to PhD engagement, inclusion actions, and joint efforts with NoEs, JRC and lighthouse.

Knowledge Representation Report (v1)

Data translation, ontologies and implementation will be provided to be extended by other projects and platforms of the research community.

Hardware Integration Plan (v1)

These two deliverables will present the status (M14) and final (M22) linkage to resources that enable the AI community to deploy their assets locally on Cloud, HPC, Edge resources and 5G network.

Software Developer Resources (v1)

First versions of the developer resources. Two iterations.

Software Developer Resources (v2)

First versions of the developer resources. Two iterations.

Data Management Plan and Ethics Responsibilities (v1)

Data Management Plan and reports of the project’s ethical management responsibilities

Veröffentlichungen

ChatGPT v Bard v Bing v Claude 2 v Aria v human-expert. How good are AI chatbots at scientific writing?

Autoren: Lozić, Edisa; Štular, Benjamin
Veröffentlicht in: Future Internet, 2023, ISSN 1999-5903
Herausgeber: MDPI
DOI: 10.48550/arxiv.2309.08636

LeaFi: Data Series Indexes on Steroids with Learned Filters

Autoren: Qitong Wang, Ioana Ileana, Themis Palpanas
Veröffentlicht in: Proceedings of the ACM on Management of Data, Ausgabe 3, 2026, ISSN 2836-6573
Herausgeber: Association for Computing Machinery (ACM)
DOI: 10.1145/3709701

VLDB Journal

Autoren: """Paul Boniol, Ashwin K. Krishna, Marine Bruel, Qinghua Liu, Mingyi Huang, Themis Palpanas, Ruey S. Tsay, Aaron Elmore, Michael J. Franklin, John Paparrizos """
Veröffentlicht in: """International Journal on Very Large Data Bases (VLDBJ)""", ISSN 1066-8888
Herausgeber: Springer
DOI: 10.48550/ARXIV.2502.13318

Graph-Based Vector Search: An Experimental Evaluation of the State-of-the-Art

Autoren: Ilias Azizi, Karima Echihabi, Themis Palpanas
Veröffentlicht in: Proceedings of the ACM on Management of Data, Ausgabe 3, 2026, ISSN 2836-6573
Herausgeber: Association for Computing Machinery (ACM)
DOI: 10.1145/3709693

NILMFormer: Non-Intrusive Load Monitoring that Accounts for Non-Stationarity

Autoren: Adrien Petralia, Philippe Charpentier, Youssef Kadhi, Themis Palpanas
Veröffentlicht in: Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2, 2025
Herausgeber: ACM
DOI: 10.1145/3711896.3737251

Undergraduate University AI Education: A Survey

Autoren: I. Pitas, Z. Sotireli, C. Papaioannidis, A. Zamioudis
Veröffentlicht in: 5th Int. Conf. on Artificial Intelligence in Education Technology, ISBN 9789819792559
Herausgeber: Springer
DOI: 10.1007/978

DeviceScope: An Interactive App to Detect and Localize Appliance Patterns in Electricity Consumption Time Series

Autoren: Adrien Petralia, Paul Boniol, Philippe Charpentier, Themis Palpanas
Veröffentlicht in: """In IEEE International Conference on Data Engineering (ICDE) """
Herausgeber: arXiv
DOI: 10.48550/ARXIV.2506.05912

Few Labels are All you Need: A Weakly Supervised Framework for Appliance Localization in Smart-Meter Series

Autoren: Adrien Petralia, Paul Boniol, Philippe Charpentier, Themis Palpanas
Veröffentlicht in: 2025 IEEE 41st International Conference on Data Engineering (ICDE), 2025
Herausgeber: IEEE
DOI: 10.1109/ICDE65448.2025.00329

AI Research is not Magic, it has to be Reproducible and Responsible

Autoren: Andrea Hrckova, Jennifer Renoux, Rafael Tolosana-Calasanz, Daniela Chuda, Martin Tamajka, Jakub Simko
Veröffentlicht in: Digital Humanism, ISBN 978-3-032-11108-1
Herausgeber: Springer
DOI: 10.1007/978-3-032-11108-1

First the action has to be perceived for communication to take place

Autoren: Kiran M. Sabu, Jennifer Renoux, Hermine J. Grosinger, Alessandro Saffiotti
Veröffentlicht in: CEUR-WS, ISSN 1613-0073
Herausgeber: Aachen : R. Piskac c/o Redaktion Sun SITE, Informatik V, RWTH Aachen

"""User-friendly Foundation Model Adapters for Multivariate Time Series Classification """

Autoren: """Romain Ilbert, Vasilii Feofanov, Malik Tiomoko, Ievgen Redko, Themis Palpanas """
Veröffentlicht in: """In International Workshop on Multivariate Time Series Analytics (MulTiSA), in conjunction with the IEEE International Conference on Data Engineering (ICDE) """
Herausgeber: arXiv
DOI: 10.48550/ARXIV.2409.12264

Bridging the European Earth-Observation and AI Communities for Data-Intensive Innovation

Autoren: Antonis Troumpoukis, Iraklis Klampanos, Despina-Athanasia Pantazi, Eleni Tsalapati, Mohanad Albughdadi, Mihai Alexe, Vasileios Baousis, Omar Barrilero, Bryce Billière, Alexandra Bojor, Pedro Branco, Lorenzo Bruzzone, Andreina Chietera, Philippe Fournand,
Veröffentlicht in: IEEE BigDataService 2023, ISSN 1803-7232
Herausgeber: IEEE
DOI: 10.1109/BIGDATASERVICE58306.2023.00008

Graphint: Graph-Based Time Series Clustering Visualisation Tool

Autoren: Paul Boniol, Donato Tiano, Angela Bonifati, Themis Palpanas
Veröffentlicht in: 2025 IEEE 41st International Conference on Data Engineering (ICDE), 2025
Herausgeber: IEEE
DOI: 10.1109/ICDE65448.2025.00357

Fast and Exact Similarity Search in Less than a Blink of an Eye

Autoren: Patrick Schäfer, Jakob Brand, Ulf Leser, Botao Peng, Themis Palpanas
Veröffentlicht in: 2025 IEEE 41st International Conference on Data Engineering (ICDE), 2025
Herausgeber: IEEE
DOI: 10.1109/ICDE65448.2025.00186

Subspace Collision: An Efficient and Accurate Framework for High-dimensional Approximate Nearest Neighbor Search

Autoren: Jiuqi Wei, Xiaodong Lee, Zhenyu Liao, Themis Palpanas, Botao Peng
Veröffentlicht in: Proceedings of ACM Management of Data (PACMMOD) Journal, ISSN 2689-0651
Herausgeber: ACM
DOI: 10.48550/ARXIV.2411.14754

The Effect of Agent-Based Feedback on Prosociality in Social Dilemmas

Autoren: Jennifer Renoux, Filipa Correia, Joana Campos, Lucas Morillo-Mendez, Neziha Akalin, Fernando P. Santos, Ana Paiva
Veröffentlicht in: AAMAS 2025 - 24th International Conference on Autonomous Agents and Multiagent Systems, ISSN 1755-1763
Herausgeber: IFAAMAS
DOI: 10.5555/3709347.3743811

Encouraging AI Adoption by SMEs: Opportunities and Contributions by the ICT49 Project Cluster

Autoren: Ourania Markaki, Aikaterini Papapostolou, Spiros Mouzakitis, Izabela Zrazinska, Urszula Sobek, Thomas Wilczek, Antonis Troumpoukis, Xenia Ziouvelou, Vangelis Karkaletsis, Alexandra Carrasco Szulc, Miriam Garcia, Gabriele Röger, Andrea Micheli, Jaime Aless
Veröffentlicht in: IISA2023 Conference, 2022, ISSN 1803-7232
Herausgeber: IEEE
DOI: 10.1109/IISA59645.2023.10345867

Multi-Agentic Workflows and Long-Term Memory Use Cases in AI-Builder

Autoren: Swetha Lakshmana Murthy, Sangamithra Panneer Selvam, Martin Welß
Veröffentlicht in: Frontiers in Artificial Intelligence and Applications, ECAI 2025, 2025
Herausgeber: IOS Press
DOI: 10.3233/FAIA251440

Leistungen

Veröffentlichungen

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