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CORDIS - EU research results
CORDIS

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

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Hardware Integration Plan (v2) (opens in new window)

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) (opens in new window)

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 (opens in new window)

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

Research Community Engagement Strategy (v2) (opens in new window)

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) (opens in new window)

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) (opens in new window)

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

Project management handbook (opens in new window)

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

Dissemination, Exploitation, and Communication Plan (v1) (opens in new window)

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

Integrative Planning Strategy (v1) (opens in new window)

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

Platform Architecture Report and User Guide (v1) (opens in new window)

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) (opens in new window)

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

Hardware Sustainability Plan (v1) (opens in new window)

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 (opens in new window)

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

Research Community Engagement Strategy (v1) (opens in new window)

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) (opens in new window)

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

Hardware Integration Plan (v1) (opens in new window)

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) (opens in new window)

First versions of the developer resources. Two iterations.

Software Developer Resources (v2) (opens in new window)

First versions of the developer resources. Two iterations.

Data Management Plan and Ethics Responsibilities (v1) (opens in new window)

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

Publications

ChatGPT v Bard v Bing v Claude 2 v Aria v human-expert. How good are AI chatbots at scientific writing? (opens in new window)

Author(s): Lozić, Edisa; Štular, Benjamin
Published in: Future Internet, 2023, ISSN 1999-5903
Publisher: MDPI
DOI: 10.48550/arxiv.2309.08636

LeaFi: Data Series Indexes on Steroids with Learned Filters (opens in new window)

Author(s): Qitong Wang, Ioana Ileana, Themis Palpanas
Published in: Proceedings of the ACM on Management of Data, Issue 3, 2026, ISSN 2836-6573
Publisher: Association for Computing Machinery (ACM)
DOI: 10.1145/3709701

VLDB Journal (opens in new window)

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

Graph-Based Vector Search: An Experimental Evaluation of the State-of-the-Art (opens in new window)

Author(s): Ilias Azizi, Karima Echihabi, Themis Palpanas
Published in: Proceedings of the ACM on Management of Data, Issue 3, 2026, ISSN 2836-6573
Publisher: Association for Computing Machinery (ACM)
DOI: 10.1145/3709693

NILMFormer: Non-Intrusive Load Monitoring that Accounts for Non-Stationarity (opens in new window)

Author(s): Adrien Petralia, Philippe Charpentier, Youssef Kadhi, Themis Palpanas
Published in: Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2, 2025
Publisher: ACM
DOI: 10.1145/3711896.3737251

Undergraduate University AI Education: A Survey (opens in new window)

Author(s): I. Pitas, Z. Sotireli, C. Papaioannidis, A. Zamioudis
Published in: 5th Int. Conf. on Artificial Intelligence in Education Technology, ISBN 9789819792559
Publisher: Springer
DOI: 10.1007/978

DeviceScope: An Interactive App to Detect and Localize Appliance Patterns in Electricity Consumption Time Series (opens in new window)

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

Few Labels are All you Need: A Weakly Supervised Framework for Appliance Localization in Smart-Meter Series (opens in new window)

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

AI Research is not Magic, it has to be Reproducible and Responsible (opens in new window)

Author(s): Andrea Hrckova, Jennifer Renoux, Rafael Tolosana-Calasanz, Daniela Chuda, Martin Tamajka, Jakub Simko
Published in: Digital Humanism, ISBN 978-3-032-11108-1
Publisher: Springer
DOI: 10.1007/978-3-032-11108-1

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

Author(s): Kiran M. Sabu, Jennifer Renoux, Hermine J. Grosinger, Alessandro Saffiotti
Published in: CEUR-WS, ISSN 1613-0073
Publisher: Aachen : R. Piskac c/o Redaktion Sun SITE, Informatik V, RWTH Aachen

"""User-friendly Foundation Model Adapters for Multivariate Time Series Classification """ (opens in new window)

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

Bridging the European Earth-Observation and AI Communities for Data-Intensive Innovation (opens in new window)

Author(s): 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,
Published in: IEEE BigDataService 2023, ISSN 1803-7232
Publisher: IEEE
DOI: 10.1109/BIGDATASERVICE58306.2023.00008

Graphint: Graph-Based Time Series Clustering Visualisation Tool (opens in new window)

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

Fast and Exact Similarity Search in Less than a Blink of an Eye (opens in new window)

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

Subspace Collision: An Efficient and Accurate Framework for High-dimensional Approximate Nearest Neighbor Search (opens in new window)

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

The Effect of Agent-Based Feedback on Prosociality in Social Dilemmas (opens in new window)

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

Encouraging AI Adoption by SMEs: Opportunities and Contributions by the ICT49 Project Cluster (opens in new window)

Author(s): 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
Published in: IISA2023 Conference, 2022, ISSN 1803-7232
Publisher: IEEE
DOI: 10.1109/IISA59645.2023.10345867

Multi-Agentic Workflows and Long-Term Memory Use Cases in AI-Builder (opens in new window)

Author(s): Swetha Lakshmana Murthy, Sangamithra Panneer Selvam, Martin Welß
Published in: Frontiers in Artificial Intelligence and Applications, ECAI 2025, 2025
Publisher: IOS Press
DOI: 10.3233/FAIA251440

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