CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.
I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .
Risultati finali
First report of the Ethics Advisor
OEI - Requirement No. 3 (si apre in una nuova finestra)Second report of the Ethics Advisor
OEI - Requirement No. 1 (si apre in una nuova finestra)The absence of a clear description of the methodology to be used in WP3 and the lack of clarity regarding human participation in research and of the data management requires the appointment of an Ethics Advisor.Artificial intelligenceWP3 will experiment Human Robot Interactions (HRI). Even though AI issues are identified in the Ethics table (Part A), WP3 description fails in considering properly the ethical issues leading to the use of these robots. There is no description of the methodology, therefore it is unclear how human participants will be involved in the research and how the ethical dimensions of their participation will be handled. Applicants have attached a statement regarding ethics in Annex1 of the project. However, it is unclear and unspecified how this statement will apply to the research and communication activities. This lack of methodological description on human participation raised specific ethical concerns that should be clarified.Personal dataEven though identified as an ethical issue, the data management of training, conference activities and research activities are not addressed. The data management plan is only stated in a vague manner and does not reflect the whole issues related to the management of personal data processing and technical safeguards that must be put in place to ensure that privacy and confidentiality will be ensured.The independent Ethics Advisor should be appointed at the beginning of the project. It should ensure that all the necessary authorisations and approvals are in place prior the commencement of the research to be conducted in WP3. The Advisor should report at M6 and M17.
Reports on achieving impact through dissemination and communication, to be delivered in M17 and M36.
Reports on joint research activities (si apre in una nuova finestra)Reports on joint research activities, to be delivered in M14 and M28.
Data management plan (si apre in una nuova finestra)Data management plan will be developed and constantly updated within the Management Work Package (WP6). Sensitive data will be marked by the level of confidentiality and also checked against any non-disclosure agreement. All produced data will be managed in line with the FAIR principles. The DMP will address the points below and will document the current status of reflection within the consortium about the data that will be produced and protected:Data set reference and name: Identifier for the data set to be produced;Data set description: origin, nature and scale and to whom it could be useful, and whether it underpins a scientific publication;Data sharing: Description of how data will be shared, including access procedures, embargo periods. In case a dataset cannot be shared, the reasons for this will be mentioned;Archiving and preservation (including storage and backup): Description of the procedures that will be put in place for long-term preservation of the data.
Detailed dissemination, exploitation and communication plan (si apre in una nuova finestra)The detailed plan will be prepared concerning all dissemination, exploitation and communication activities that have been proposed with the intention to maximize the impact of the TERAIS project on the key target groups - scientific community; prospective international students/research staff; prospective Slovak students/research staff; general public; business community; and funding actors. Overall communication will leverage comprehensive communication tools (above/below the line) to better correspond to the target group needs and the requirements of the communication objectives and key messages. Details are provided in Table 2.2a of the proposal.
Progress report (interim) (si apre in una nuova finestra)Progress reports (interim)
Detailed PM and QA Plan (si apre in una nuova finestra)Detailed Project Management and Quality Assurance Plan.
Reports on implementation of the Joint Research Strategy (si apre in una nuova finestra)Reports on implementation of the Joint Research Strategy, to be delivered in M16 and M28, It will contain steps and measures for joint involvement in EU project proposals, development of publications or presentations at scientific conferences from partners to the coordinating institution by organizing planned events.
Quality assurance reports (si apre in una nuova finestra)Quality assurance reports, to be delivered in M8, 13,18,25, 30
Reports on implementing the knowledge and skills transfer (si apre in una nuova finestra)Reports on implementing the knowledge and skills transfer, to be delivered in M12 and M28.
Pubblicazioni
Autori:
Martin Melicherčík, Lukáš Gajdošech, Viktor Kocur, Martin Madaras
Pubblicato in:
2023 World Symposium on Digital Intelligence for Systems and Machines (DISA), 2023
Editore:
IEEE
DOI:
10.48550/arXiv.2311.07432
Autori:
Martin Gromniak, Sven Magg, Stefan Wermter
Pubblicato in:
Artificial Neural Networks and Machine Learning – ICANN 2023, 2023
Editore:
Springer Nature
DOI:
10.48550/arXiv.2304.14371
Autori:
Josua Spisak, Matthias Kerzel, Stefan Wermter
Pubblicato in:
Artificial Neural Networks and Machine Learning – ICANN 2023, 2023
Editore:
Springer Nature
DOI:
10.48550/arXiv.2307.08471
Autori:
Pavel Petrovič, Fedir Agarshev
Pubblicato in:
15th International Conference on Education and New Learning Technologies Proceedings, 2023
Editore:
IATED
DOI:
10.48550/arXiv.2402.17243
Autori:
Viktor Kocur, Daniel Kyselica, Zuzana Kukelova
Pubblicato in:
2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Numero 25, 2024
Editore:
IEEE
DOI:
10.48550/arXiv.2311.16304
Autori:
Pavel Petrovič, Peter Verčimák
Pubblicato in:
15th International Conference on Education and New Learning Technologies Proceedings, 2023
Editore:
IATED
DOI:
10.48550/arXiv.2402.17409
Autori:
Carlo Mazzola, Lorenzo Morocutti, Hillary Pedrizzi, Xenia Daniela Poslon, Andrej Lucny, Sarah Marie Wingert, Yukie Nagai, Francesco Rea, Alessandra Sciutti
Pubblicato in:
2024 IEEE International Conference on Development and Learning (ICDL), Numero 4, 2024
Editore:
IEEE
DOI:
10.5281/zenodo.11189963
Autori:
Andrej Lucny, Pavel Petrovic
Pubblicato in:
2023 World Symposium on Digital Intelligence for Systems and Machines (DISA), 2023
Editore:
IEEE
DOI:
10.48550/arXiv.2311.04924
Autori:
Hassan Ali, Philipp Allgeuer, Stefan Wermter
Pubblicato in:
Lecture Notes in Computer Science, Social Robotics, 2025
Editore:
Springer
DOI:
10.48550/ARXIV.2404.08424
Autori:
Charalambos Tzamos, Viktor Kocur, Yaqing Ding, Torsten Sattler, Zuzana Kukelova
Pubblicato in:
Lecture Notes in Computer Science, Computer Vision – ECCV 2024 Workshops, 2025
Editore:
Springer
DOI:
10.48550/ARXIV.2410.05984
Autori:
Dmytro Herashchenko, Igor Farkaš
Pubblicato in:
2023 IEEE Symposium Series on Computational Intelligence (SSCI), 2023
Editore:
IEEE
DOI:
10.48550/arXiv.2311.14175
Autori:
Miroslav Cibula; Matthias Kerzel; Igor Farkaš
Pubblicato in:
International Conference on Artificial Neural Networks ICANN 2024, 2024
Editore:
Springer
DOI:
10.48550/ARXIV.2410.07751
Autori:
Philipp Allgeuer, Hassan Ali, Stefan Wermter
Pubblicato in:
Lecture Notes in Computer Science, Artificial Neural Networks and Machine Learning – ICANN 2024, 2024
Editore:
Springer
DOI:
10.48550/ARXIV.2407.00518
Autori:
Josua Spisak, Matthias Kerzel, Stefan Wermter
Pubblicato in:
2024 IEEE International Conference on Development and Learning (ICDL), 2024
Editore:
IEEE
DOI:
10.48550/ARXIV.2401.08381
Autori:
Martin Homola, Júlia Pukancová, Janka Boborová, Iveta Balintová
Pubblicato in:
Logics in Artificial Intelligence. JELIA 2023, 2023
Editore:
Springer
DOI:
10.5281/zenodo.10724508
Autori:
Štefan Pócoš; Iveta Bečková; Igor Farkaš
Pubblicato in:
Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2024
Editore:
scitepress
DOI:
10.5281/ZENODO.14766904
Autori:
Kristína Malinovská, Slavomír Holenda, Ľudovít Malinovský
Pubblicato in:
Artificial Neural Networks and Machine Learning – ICANN 2023, 2023
Editore:
Springer Nature
DOI:
10.48550/arXiv.2401.06137
Autori:
Tomáš Kunzo, Viktor Kocur, Lukáš Gajdošech, Martin Madaras
Pubblicato in:
2023 World Symposium on Digital Intelligence for Systems and Machines (DISA), 2023
Editore:
IEEE
DOI:
10.48550/arXiv.2311.07398
Autori:
Peter Kravár, Lukáš Gajdošech. Martin Madaras
Pubblicato in:
Artificial Neural Networks and Machine Learning -- ICANN 2023, 2023
Editore:
Springer Nature
DOI:
10.48550/arXiv.2305.05215
Autori:
Carlo Mazzola, Francesco Rea, Alessandra Sciutti
Pubblicato in:
2023 I-RIM Conference, 2023, ISBN 978-88-945805-4-9
Editore:
I-RIM
DOI:
10.48550/arXiv.2311.05334
Autori:
Belanec, Róbert; Lacko, Peter; Malinovská, Kristína
Pubblicato in:
2023 World Symposium on Digital Intelligence for Systems and Machines (DISA), 2023
Editore:
IEEE
DOI:
10.48550/arxiv.2311.08850
Autori:
Griebenow, Stig; Özdemir, Ozan; Weber, Cornelius; Wermter, Stefan
Pubblicato in:
ESANN 2025 proceesdings, 2025
Editore:
i6doc
DOI:
10.5281/ZENODO.14774343
Autori:
Yaqing Ding, Viktor Kocur, Zuzana Berger Haladová, Qianliang Wu, Shen Cai, Jian Yang, Zuzana Kukelova
Pubblicato in:
2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025
Editore:
IEEE
DOI:
10.48550/ARXIV.2501.07499
Autori:
Theresa Pekarek Rosin, Stefan Wermter
Pubblicato in:
Artificial Neural Networks and Machine Learning – ICANN 2023, 2023
Editore:
Springer Nature
DOI:
10.1007/978-3-031-44195-0_40
Autori:
Hassan Ali, Philipp Allgeuer, Carlo Mazzola, Giulia Belgiovine, Burak Can Kaplan, Lukáš Gajdošech, Stefan Wermter
Pubblicato in:
2024 IEEE-RAS 23rd International Conference on Humanoid Robots (Humanoids), 2024
Editore:
IEEE
DOI:
10.48550/ARXIV.2407.13505
Autori:
Miroslav Cibula, Kristína Malinovská, Matthias Kerzel
Pubblicato in:
Lecture Notes in Computer Science, Artificial Neural Networks and Machine Learning. ICANN 2025 International Workshops and Special Sessions, 2025
Editore:
Springer
DOI:
10.48550/ARXIV.2507.02171
Autori:
Luka Kovač, Igor Farkaš
Pubblicato in:
Artificial Neural Networks and Machine Learning – ICANN 2023, 2023
Editore:
Springer Nature
DOI:
10.48550/arXiv.2312.09468
Autori:
Zuzana Cernekova; Viktor Sisik; Fatana Jafari
Pubblicato in:
International Conference on Innovative Techniques and Applications of Artificial Intelligence, 2024
Editore:
Springer
DOI:
10.48550/ARXIV.2501.09863
Autori:
Charalambos Tzamos, Viktor Kocur, Yaqing Ding, Daniel Barath, Zuzana Berger Haladová, Torsten Sattler, Zuzana Kukelova
Pubblicato in:
2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025
Editore:
IEEE
DOI:
10.48550/ARXIV.2303.16078
Autori:
Andrej Lúčny, Kristína Malinovská, Igor Farkaš
Pubblicato in:
Artificial Neural Networks and Machine Learning – ICANN 2023, 2023
Editore:
Springer Nature
DOI:
10.48550/arXiv.2311.13226
Autori:
Zuzana Černeková, Zuzana Berger Haladová, Ján Špirka, Viktor Kocur
Pubblicato in:
2023 World Symposium on Digital Intelligence for Systems and Machines (DISA), 2023
Editore:
IEEE
DOI:
10.48550/arXiv.2311.07390
Autori:
Osvaldová, Katarína; Gajdošech, Lukáš; Kocur, Viktor; Madaras, Martin
Pubblicato in:
Proceedings of the 27th Computer Vision Winter Workshop, 2024
Editore:
Slovenian Pattern Recognition Society
DOI:
10.5281/zenodo.10694437
Autori:
Lukas Radosky, Ivan Polasek
Pubblicato in:
Proceedings of the 1st International Workshop on Designing Software, 2024
Editore:
ACM
DOI:
10.48550/ARXIV.2501.09863
Autori:
Jan-Gerrit Habekost, Erik Strahl, Philipp Allgeuer, Matthias Kerzel, Stefan Wermter
Pubblicato in:
Artificial Neural Networks and Machine Learning – ICANN 2023, 2023
Editore:
Springer Nature
DOI:
10.48550/arXiv.2307.11554
Autori:
Carlo Mazzola, Marta Romeo, Francesco Rea, Alessandra Sciutti, Angelo Cangelosi
Pubblicato in:
2023 International Joint Conference on Neural Networks (IJCNN), 2023
Editore:
IEEE
DOI:
10.48550/arXiv.2308.10757
Autori:
Zuzana Berger Haladova, Michal Zrubec, Zuzana Cernekova
Pubblicato in:
ACM Symposium on Applied Perception 2024, 2024
Editore:
ACM
DOI:
10.48550/ARXIV.2501.07342
Autori:
Josua Spisak, Matthias Kerzel, Stefan Wermter
Pubblicato in:
2024 IEEE-RAS 23rd International Conference on Humanoid Robots (Humanoids), 2024
Editore:
IEEE
DOI:
10.48550/ARXIV.2404.07735
Autori:
Matthias Kerzel, Philipp Allgeuer, Erik Strahl, Nicolas Frick, Jan-Gerrit Habekost, Manfred Eppe, Stefan Wermter
Pubblicato in:
IEEE Access, Numero 11, 2023, ISSN 2169-3536
Editore:
IEEE
DOI:
10.48550/arXiv.2305.08528
Autori:
Iveta Bečková; Štefan Pócoš; Giulia Belgiovine; Marco Matarese; Omar Eldardeer; Alessandra Sciutti; Carlo Mazzola
Pubblicato in:
Computer Vision and Image Understanding, Numero 253, 2025, ISSN 1077-3142
Editore:
Academic Press
DOI:
10.48550/ARXIV.2407.03340
Autori:
Martin Stancek, Ivan Polasek, Tibor Zalabai, Juraj Vincur, Rodi Jolak, Michel Chaudron
Pubblicato in:
Information and Software Technology, Numero 166, 2023, ISSN 0950-5849
Editore:
Elsevier
DOI:
10.48550/arXiv.2311.17787
Autori:
Hassan Ali, Doreen Jirak, Stefan Wermter
Pubblicato in:
Cognitive Computation, Numero 15, 2023, ISSN 1866-9964
Editore:
Springer Link
DOI:
10.48550/arXiv.2205.15862
Autori:
Luca Müller, Hassan Ali, Philipp Allgeuer, Lukáš Gajdošech, Stefan Wermter
Pubblicato in:
Lecture Notes in Computer Science, Artificial Neural Networks and Machine Learning. ICANN 2025 International Workshops and Special Sessions, 2025
Editore:
Springer Nature Switzerland
DOI:
10.48550/ARXIV.2509.05031
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