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
We will describe the methodological aspects of working with time series in probabilistic graphical models and computing the conditional expectations therein. This will be accompanied by open-source code at github.com.
Communication and Dissemination plan (opens in new window)Details strategy to implement and evaluate activities to maximise project impact. Considered a living document to be updated regularly over the course of the project lifetime
Communication and dissemination plan update RP1 (opens in new window)Updated Communication and Dissemination Plan (updates will consider re-evaluation of KPIs, target audiences, and implementation and evaluation of activities etc).
Legal and ethical aspects of personalised nutrition (opens in new window)We will present both an overview of the legal and ethical aspects of personalized nutrition and develop a set of suggestions for implementing it going forwards.
Kick-off meeting report (opens in new window)Detailed summary of project set-up at inaugural consortium assembly
Practice abstract batch 1 (opens in new window)This deliverable contains five practical abstracts related to two areas of the WP1 and WP2: 1. One presenting the results of the AI systematic reviews carried out on the relationship between diet and non-communicable disease 2. Three presenting the dietary intake assessment ( i camera, ii sensors and iii multi omics) and including the initial thoughts on a population based dietary assessment package3. One presenting the review of public health policy and personal nutrition
Report on update to Food-EPI assessments describing policy scenarios (opens in new window)Based on the countries’ Food-EPI assessments, a report will be produced summarising a range of policy scenarios combining the strengths of approaches adopted in the countries observed in several key policy areas, for evaluation in task 6.3.
Updated data management plan encompassing both data collected in WP2 and data collected previously, as explained in WP1.
Data management plan (opens in new window)We will present a data management plan encompassing both data collected in WP2 and data collected previously, as explained in WP1.
Launched online. Freely accessible platform for all audiences to access publicly available CoDiet resources and data.
A structured document detailing the cohort characteristics, meta data and data availability of precision medicine initiatives relevant to CoDiet. These data will be used, subject to availability, for initial development of methods and models in WP3 and WP4.
Release of an automatically annotated and manually verified corpus of 1,000 Open Access articles (opens in new window)A dataset consisting of annotated BioC JSON documents of Open Access publications with dietary variables, phenotypes, genes, transcripts, proteins, metabolites, microbes and pathways annotated, and relations between these mapped.
We will develop a first prototype of the causal discovery with irregularly sampled time series and latent confounders. This will be open-source software at gihub.com.
Publications
Author(s):
Michail Tsenos, Aristotelis Peri, Vana Kalogeraki
Published in:
Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS), 2023, ISSN 2473-2001
Publisher:
IEEE
DOI:
10.1109/ACSOS58161.2023.00020
Author(s):
Aristotelis Peri, Michail Tsenos, Vana Kalogeraki
Published in:
Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS), 2023, ISSN 2473-2001
Publisher:
IEEE
DOI:
10.1109/ACSOS58161.2023.00032
Author(s):
Jianyang Gu, Saeed Vahidian, Vyacheslav Kungurtsev, Haonan Wang, Wei Jiang, Yang You, Yiran Chen
Published in:
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
Publisher:
Arxiv
Author(s):
Kim, Kim, Sohn, Beck, Rei, Kim, Simpson, Posma, Lain, Sung, Kang
Published in:
Proceedings of the BioCreative VIII Challenge and Workshop: Curation and Evaluation in the era of Generative Models, 2023
Publisher:
Zenodo
Author(s):
Mark Kozdoba, Binyamin Perets, Shie Mannor
Published in:
International Conference on Machine Learning, PMLR, 2023., 2023
Publisher:
Arxiv
Author(s):
Mark Kozdoba, Binyamin Perets, Shie Mannor
Published in:
International Conference on Machine Learning, PMLR, 2024., 2024
Publisher:
PMLR
Author(s):
Dimitrios Tomaras, Michail Tsenos, Vana Kalogeraki
Published in:
Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS), 2023, ISSN 2473-2001
Publisher:
IEEE
DOI:
10.1109/ACSOS58161.2023.00033
Author(s):
Mark Kozdoba, Binyamin Perets, Shie Mannor
Published in:
NeurIPS 2023 Second Table Representation Learning Workshop. 2023., 2023
Publisher:
OpenReview
Author(s):
Dimitrios Tomaras, Michail Tsenos, Vana Kalogeraki, Dimitrios Gunopulos
Published in:
Proceedings of the 25th IEEE International Conference on Mobile Data Management (MDM), 2024, ISSN 2375-0324
Publisher:
IEEE
DOI:
10.1109/MDM61037.2024.00032
Author(s):
Mark Kozdoba, Binyamin Perets, Shie Mannor
Published in:
OPT 2023: Optimization for Machine Learning. 2023, NeuRIPS Workshop, 2023
Publisher:
OpenReview
Author(s):
Wang, Vijayaraghavan, Beck, Posma
Published in:
Journal of Proteome Research, 2024, ISSN 1535-3907
Publisher:
ACS
DOI:
10.1101/2023.06.23.546229
Author(s):
Zhou and Mareček
Published in:
IEEE Transactions on Automatic Control, 2024, ISSN 1558-2523
Publisher:
IEEE
DOI:
10.48550/arXiv.2002.01444
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