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CORDIS - EU research results
CORDIS

COllaborative Platform for trAnsmedia storytelling and cross channel distribution of EUROPEan sport events

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

Project website and social networks (opens in new window)

A first version of the project website will be launched before the end of M1 along with social network accounts which will be created and maintained active Both website and social network accounts will be constantly updated throughout the lifetime of the project

Final legal and ethical assessment (opens in new window)

This deliverable will report on the legal and ethical assessments performed throughout the course of the project and especially through the integration of the requirements identified in D11 and D12 It will further report on the assessment of societal and ethics impact and develop recommendations for relevant stakeholders and policy makers based on the identified legal gaps and lessons learned

Interim legal and ethical assessment (opens in new window)

This deliverable will report on the legal and ethical assessments performed throughout the course of the project and especially through the integration of the requirements identified in D11 and D12

Pilots final report (opens in new window)

This deliverable will constitute a dual confidentiality report on the design implementation and evaluation of the two pilots as well as the evaluation results Its public version will provide a list of lessons learned from running and refining the COPA EUROPE integrated platform and provide best practices as guidelines for project results takeup by internal and external organizations

COPA EUROPE formative usability evaluation (opens in new window)

This deliverable will report on the formative usability evaluation of the COPA EUROPE integrated prototype

Legal and ethical framework (opens in new window)

This deliverable will identify ethical requirements and provide an analysis of the legal framework and challenges relevant to the project objectives in order to derive projectspecific legal requirements These will serve as the guidelines to be used in the context of T83 so as to facilitate the ethical oversight of the project implementation activities

Distribution layout of the transmedia platform and communication channels (opens in new window)

This deliverable will include all COPA EUROPE transmedia communication channels as well as a description of their representative distribution and action diagram which will define relationships between them

Publications

Explain to Not Forget: Defending Against Catastrophic Forgetting with XAI (opens in new window)

Author(s): Ede, Sami; Baghdadlian, Serop; Weber, Leander; Nguyen, An; Zanca, Dario; Samek, Wojciech; Lapuschkin, Sebastian
Published in: Lecture Notes in Computer Science, vol 13480, Issue 1, 2022, ISBN 978-3-031-14463-9
Publisher: Springer, Cham
DOI: 10.1007/978-3-031-14463-9_1

ECQ$^{\text{x}}$: Explainability-Driven Quantization for Low-Bit and Sparse DNNs (opens in new window)

Author(s): Becking, Daniel; Dreyer, Maximilian; Samek, Wojciech; Müller, Karsten; Lapuschkin, Sebastian
Published in: Lecture Notes in Artificial Intelligence; Subseries of Lecture Notes in Computer Science book series (LNAI,volume 13200), Issue 1, 2022, Page(s) 271-296, ISBN 978-3-031-04082-5
Publisher: Springer
DOI: 10.1007/978-3-031-04083-2_14

Online Media Innovations in the Service of Transport and Logistics 4.0: a 5G Paradigm

Author(s): Kirsten Krüger, Holger Gäbler , Andreas Gavrielides , Elli Symeou , Philippos Philippou , George Margetis , Antonio Paradell
Published in: Special session 4, EuCNC & 6G summit 2023, 2023
Publisher: EuCNC

Orion: A Centralized Blockchain Database with Multi-Party Data Access Control (opens in new window)

Author(s): Artem Barger; Liran Funaro; Gennady Laventman; Hagar Meir; Dany Moshkovich; Senthilnathan Natarajan; Yoav Tock
Published in: 2023 IEEE International Conference on Blockchain and Cryptocurrency (ICBC), 2023, Page(s) 1-9, ISBN 979-8-3503-1019-1
Publisher: IEEE
DOI: 10.1109/icbc56567.2023.10174914

Visual Summarisations for Computer-Assisted Live Color Casting and Direction in League of Legends (opens in new window)

Author(s): George Margetis, Konstantinos C. Apostolakis, Stavroula Ntoa, Ioannis Chatzakis, Eirini Sykianaki, Ioannis Markopoulos & Constantine Stephanidis
Published in: International Conference on Human-Computer Interaction, HCII 2023: HCI in Games, 2023, Page(s) 133–153, ISBN 978-3-031-35930-9
Publisher: Springer, Cham
DOI: 10.1007/978-3-031-35930-9_10

Reward-Based 1-bit Compressed Federated Distillation on Blockchain (opens in new window)

Author(s): Witt, Leon; Zafar, Usama; Shen, KuoYeh; Sattler, Felix; Li, Dan; Samek, Wojciech
Published in: ArXiv, Issue 1, 2021, ISSN 2331-8422
Publisher: Cornell University
DOI: 10.48550/arxiv.2106.14265

FEDAUX: Leveraging Unlabeled Auxiliary Data in Federated Learning (opens in new window)

Author(s): Felix Sattler; Tim Korjakow; Roman Rischke; Wojciech Samek
Published in: IEEE Transactions on Neural Networks and Learning Systems, Issue Monthly, 2021, ISSN 2162-237X
Publisher: IEEE Computational Intelligence Society
DOI: 10.1109/tnnls.2021.3129371

CFD: Communication-Efficient Federated Distillation via Soft-Label Quantization and Delta Coding (opens in new window)

Author(s): Felix Sattler; Arturo Marban; Roman Rischke; Wojciech Samek
Published in: IEEE Transactions on Network Science and Engineering, Issue Biennial, 2021, ISSN 2327-4697
Publisher: IEEE Computer Society
DOI: 10.1109/tnse.2021.3081748

A Privacy Preserving System for Movie Recommendations Using Federated Learning (opens in new window)

Author(s): David Neumann; Andreas Lutz; Karsten Müller; Wojciech Samek
Published in: ACM Transactions on Recommender Systems, Issue Quarterly, 2023, ISSN 2770-6699
Publisher: ACM
DOI: 10.1145/3634686

Integrating Visual and Network Data with Deep Learning for Streaming Video Quality Assessment (opens in new window)

Author(s): George Margetis; Grigorios Tsagkatakis; Stefania Stamou; Constantine Stephanidis
Published in: Sensors; Volume 23; Issue 8; Pages: 3998, Issue Semimonthly, 2023, ISSN 1424-8220
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s23083998

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