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
The beta release of the platform, with supporting documentation.
XMANAI Platform - Alpha Version (opens in new window)An alpha version of the platform delivered for early assessment accompanied with the updated functional and nonfunctional requirements system architecture the bundles design and the APIs The initial interface includes the basic UIUX for the users of the platform
XMANAI AI Bundles - First Release (opens in new window)This deliverable will provide the first release of the tools to be developed in WP2 following the prioritisation of the user stories based on the MVP of WP1
XMANAI Asset Management Bundles - First Release (opens in new window)This deliverable will provide the first release of the tools to be developed in WP2 following the prioritisation of the user stories based on the MVP of WP1
System Architecture, Bundles Placement Plan and APIs Design (opens in new window)The first version of the system architecture the bundles design the APIs
XMANAI Asset Management Bundles - Second Release (opens in new window)This deliverable will provide the second and final release of the tools to be developed in WP2
XMANAI AI Bundles - Second Release (opens in new window)This deliverable will provide the second and final release of the tools to be developed in WP2
XMANAI Platform - Version 1.0 (opens in new window)The final release of the platform and tools, with documentation.
Evaluation of the demonstrators using the final version of the platform (v1.00) and impact assessment consolidating the input of Tasks 6.2-6.8.
XMANAI Knowledge Transfer and Replication Roadmap (opens in new window)Recommendations and guidelines for porting scaling up and replication the XMANAI concept at larger scales, and for transferring knowledge of XMANAI and the developed assets and infrastructure, to other manufacturing sectors and domains.
2nd Dissemination, Communication, Standardisation Report and Plan for next period (opens in new window)D84 will report on the WP8 activities performed during the 2nd period and will provide an updated plan for all dissemination standardisation and communication activities that will be scheduled for the 3rd reporting period M31M42
1st Dissemination and Communication and Plan for next period (opens in new window)D83 will report on all the WP8 activities performed during the 1st reporting period and will provide an updated plan for all dissemination and communication activities that will be scheduled for the 2nd reporting period M19M30
Draft Catalogue of XMANAI AI and Graph Machine Learning Models (opens in new window)This deliverable will provide the list of baseline models that are generally appropriate for the manufacturing domain and for the different pilot scenarios to be supported by XMANAI identifying their main parameters and structural elements as well as their inputs outputs and usage scenarios
AI Bundles Methods and System Designs (opens in new window)This deliverable will provide the methods and the designs to be used for the development of the bundles of WP3 alongside with low fidelity functional mockups that will be used for a first round of evaluation
Final Dissemination, Communication and Standardisation Report (opens in new window)This deliverable aims to provide the final report on all dissemination, communication, standardisation and stakeholder engagement activities performed during the last reporting period of the project.
State of the Art Review in XMANAI Research Domains (opens in new window)D11 will include a thorough analysis of the state of the art of the research domains to be touched by XMANAI delivering a list of concepts methods and tools that will be further considered by the project for the implementation of both the XMANAI methodology the platform and the algorithms and models to be constructed
Updated Requirements and AI/Graph Analytics focused MVP (opens in new window)This deliverable will update the requirements and will provide an MVP version that will focus on the AI and Graph Analytics parts of the platform following the initial work on those that will be performed in WP3 and WP4
Final XMANAI MVP (opens in new window)Final version of the methodology and a fullyfledged MVP describing the overall operations of the XMANAI platform which will drive the implementation work of the next WPs
Asset Management Bundles Methods and System Designs (opens in new window)This deliverable will provide the methods and the designs to be used for the development of the bundles of WP2 alongside with low fidelity functional mockups that will be used for a first round of evaluation
XMANAI Concept Detailing, Initial Requirements, Usage Scenarios and Draft MVP (opens in new window)This deliverable will coin the detailed XMANAI concept and will provide the initial requirements of the platform the early identification of data sources to be used and an initial set of usage scenarios driving a high level MVP that will describe core backbone data management and analysis operations to be designed in WP2 and WP3
Project Evaluation Plan and First Round of Demonstrators Implementation Plan (opens in new window)Documentation of the evaluation framework and validation methodology defining the various practices for recording feedback from the demonstration activities and including a set of testcases to be executed by the demonstrator partners
Direct outcome of T92 documenting the data management handling plan and the ethics report and safeguarding measures It will constitute a living document
This deliverable is related to the provision of the Website of the project and will set up all needed Web 20 and social channels that will be used during the project for communication
Publications
Author(s):
Agostinho Carlos; Dikopoulou Zoumpolia; Lavasa Eleni; Perakis Konstantinos; Pitsios Stamatis; Branco Rui; Reji Sangeetha; Hetterich Jonas; Biliri Evmorfia; Lampathaki Fenareti; Rodríguez Del Rey Silvia and Gkolemis Vasilis
Published in:
Frontiers in Artificial Intelligence, Issue 6, 2023, ISSN 2624-8212
Publisher:
Frontiers
DOI:
10.3389/frai.2023.1264372
Author(s):
Valentini, Lorenzo; Grandi, Fabio; Peruzzini, Margherita, Pellicciari, Marcello
Published in:
International Journal of Agile Systems and Management, 2024, ISSN 1741-9182
Publisher:
Inderscience
DOI:
10.5281/zenodo.12075524
Author(s):
Grandi, Fabio; Zanatto, Debora; Capaccioli, Andrea; Napoletano, Linda; Cavallaro, Sara; and Peruzzini, Margherita
Published in:
Procedia Computer Science, Issue 232, 2024, Page(s) 3112-3120, ISSN 1877-0509
Publisher:
Elsevier
DOI:
10.1016/j.procs.2024.02.127
Author(s):
Reji, Sangeetha; Hetterich, Jonas; Pitsios, Stamatis; Gkolemi, Vasilis; Perez-Castanos, Sergi; Pertselakis, Minas
Published in:
29th ICE IEEE/ITMC Conference, 2023
Publisher:
IEEE
DOI:
10.5281/zenodo.7991121
Author(s):
Konstantinos Perakis; Silvia Rodriguez; Fenareti Lampathaki
Published in:
Proceedings of Interoperability for Enterprise Systems and Applications Workshops, co-located with 12th International Conference on Interoperability for Enterprise Systems and Applications (I-ESA 2024), 2024
Publisher:
CEUR Workshop Proceedings
DOI:
10.5281/zenodo.12698135
Author(s):
Biliri Evmorfia; Lampathaki Fenareti; Mandilaras George; Prieto-Roig Ausias; Calabresi Mattia; Branco Rui; Gkolemis Vasileios
Published in:
29th ICE IEEE/ITMC Conference, 2023
Publisher:
IEEE
DOI:
10.5281/zenodo.8010284
Author(s):
Valentini, Lorenzo; Grandi, Fabio; Peruzzini, Margherita; Pellicciari, Marcello
Published in:
Proceedings of the 30th ISTE International Conference on Transdisciplinary Engineering, 2023, Page(s) 42 - 51
Publisher:
IOS Press
DOI:
10.3233/atde230596
Author(s):
Branco, Rui; Agostinho, Carlos; Gusmeroli, Sergio; Lavasa, Eleni; Dikopoulou, Zoumpolia; Monzo, David; Lampathaki, Fenareti
Published in:
29th ICE IEEE/ITMC Conference, 2023
Publisher:
IEEE
DOI:
10.5281/zenodo.7987108
Author(s):
Gkolemis, Vasilis; Tzerefos, Anargiros; Dalamagas, Theodore; Ntoutsi, Erini; Diou, Christos
Published in:
Uncertainty meets Explainability Workshop at European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD 2023), 2023
Publisher:
ECML PKDD
DOI:
10.5281/zenodo.10933636
Author(s):
Gkolemis, Vasilis; Dalamagas, Theodore; Diou, Christos
Published in:
Asian Conference in Machine Learning (ACML), 2023
Publisher:
ACML
DOI:
10.5281/zenodo.7220114
Author(s):
Fenareti Lampathaki, Carlos Agostinho, Yury Glikman, Michele Sesana
Published in:
27th ICE/IEEE International Technology Management Conference, Cardiff UK, June 21-23 2021, 2021
Publisher:
27th ICE/IEEE International Technology Management Conference
DOI:
10.1109/ice/itmc52061.2021.9570236
Author(s):
Dikopoulou, Zoumpolia; Lavasa, Eleni; Perez-Castanos, Sergi; Monzo, David; Moustakidis, Serafeim
Published in:
29th ICE IEEE/ITMC Conference, 2023
Publisher:
IEEE
DOI:
10.5281/zenodo.7997624
Author(s):
Dimitris Miltiadou; Konstantinos Perakis; Michele Sesana; Mattia Calabresi; Fenareti Lampathaki; Evmorfia Biliri
Published in:
29th ICE IEEE/ITMC Conference, 2023
Publisher:
IEEE
DOI:
10.5281/zenodo.8010282
Author(s):
Capaccioli, Andrea; Agostinho, Carlos; Antonello, Veronica; Lampathaki, Fenareti; Sesana, Michele
Published in:
Proceedings of Interoperability for Enterprise Systems and Applications Workshops, co-located with 12th International Conference on Interoperability for Enterprise Systems and Applications (I-ESA 2024), 2024
Publisher:
CEUR Workshop Proceedings
DOI:
10.5281/zenodo.12665533
Author(s):
Gkolemis, Vasilis; Dalamagas, Theodore; Ntoutsi, Eirini; Diou, Christos
Published in:
Proceedings of 26th European Conference on Artificial Intelligence (ECAI 2023), 2023, Page(s) 859 - 866
Publisher:
IOS Press
DOI:
10.3233/faia230354
Author(s):
Perez-Castanos, Sergi; Prieto-Roig, Ausias; Monzo, David; and Colomer-Barbera, Javier
Published in:
Artificial Intelligence in Manufacturing, 2023, Page(s) 423–436, ISBN 978-3-031-46452-2
Publisher:
Springer, Cham
DOI:
10.1007/978-3-031-46452-2_24
Author(s):
Fenareti Lampathaki, Enrica Bosani, Evmorfia Biliri, Erifili Ichtiaroglou, Andreas Louca, Dimitris Syrrafos, Mattia Calabresi, Michele Sesana, Veronica Antonello & Andrea Capaccioli
Published in:
Artificial Intelligence in Manufacturing, 2023, Page(s) 437–458, ISBN 978-3-031-46452-2
Publisher:
Springer, Cham
DOI:
10.1007/978-3-031-46452-2_25
Author(s):
Eleni Lavasa, Christos Chadoulos, Athanasios Siouras, Ainhoa Etxabarri Llana, Silvia Rodríguez Del Rey, Theodore Dalamagas & Serafeim Moustakidis
Published in:
Artificial Intelligence in Manufacturing, 2023, Page(s) 479–501, ISBN 978-3-031-46452-2
Publisher:
Springer, Cham
DOI:
10.1007/978-3-031-46452-2_27
Author(s):
Michele Sesana, Sara Cavallaro, Mattia Calabresi, Andrea Capaccioli, Linda Napoletano, Veronica Antonello & Fabio Grandi
Published in:
Artificial Intelligence in Manufacturing, 2023, ISBN 978-3-031-46452-2
Publisher:
Springer, Cham
DOI:
10.1007/978-3-031-46452-2_26
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