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CORDIS - Forschungsergebnisse der EU
CORDIS

MachinE Learning Ledger Orchestration for Drug DiscoverY

CORDIS bietet Links zu öffentlichen Ergebnissen und Veröffentlichungen von HORIZONT-Projekten.

Links zu Ergebnissen und Veröffentlichungen von RP7-Projekten sowie Links zu einigen Typen spezifischer Ergebnisse wie Datensätzen und Software werden dynamisch von OpenAIRE abgerufen.

Leistungen

Public-consortium prototyping platform for public data (year 3) (öffnet in neuem Fenster)

Publicconsortium prototyping platform for public data

Final release of structure processing script (öffnet in neuem Fenster)

Final release of structure processing script, one version for each run (M7, 19, 29)

Prototype of based test-train fold splitting algorithm (year 3) (öffnet in neuem Fenster)

Prototype of based testtrain fold splitting algorithm ready for integration in WP4 ML software One for prototype for 2nd and 3rd federated run each

Prototype of based test-train fold splitting algorithm (öffnet in neuem Fenster)

Prototype of based test-train fold splitting algorithm ready for integration in WP4 ML software. One for prototype for 2nd and 3rd federated run each (M18, 29)

Final release of structure processing script (year 3) (öffnet in neuem Fenster)

Final release of structure processing script one version for each run

Locality-sensitive hashing based test-train fold splitting code deployed at the pharma partners (öffnet in neuem Fenster)
Final release of structure processing script (year 2) (öffnet in neuem Fenster)

Final release of structure processing script, one version for each run

Publications of key scientific findings from the Project (öffnet in neuem Fenster)

Publications of key scientific findings from the Project and collation of all publications and other communication modalities M2436

Comprehensive technical documentation (year 3) (öffnet in neuem Fenster)

Comprehensive technical documentation updated version each year

Documentation material of the version 3 (öffnet in neuem Fenster)

Documentation material of the version 3 v3 of the platform and platform prerelease for audit by WP5

Data preparation manual (year 3) (öffnet in neuem Fenster)

Data preparation manual one version for each run

Report on aggregate performance metrics for top hits and information gain (year 3) (öffnet in neuem Fenster)

Report on aggregate performance metrics for top hits and information gain

Documentation material including articles and use case description (draft) (öffnet in neuem Fenster)

Documentation material including articles and use case description draft and final version M30 36

Risk and Data Management Plan (year 3) (öffnet in neuem Fenster)

Risk and Data Management Plan; updates

Documentation material of the version 1 (öffnet in neuem Fenster)

Documentation material of the version 1 (v1) of the platform, and platform pre-release for audit by WP5

Report on federated learning schemes (year 3) (öffnet in neuem Fenster)

Report on federated learning schemes

Risk and Data Management Plan (year 2) (öffnet in neuem Fenster)

Risk and Data Management Plan; updates

Report on central infrastructure setup (öffnet in neuem Fenster)

Report on central infrastructure setup including central services (container registries, CI/CD pipelines, GPU acceleration, and partner cluster networking)

Risk Management Plan (öffnet in neuem Fenster)

Risk Management Plan; updates (M3, 12, 24)

Report on model accuracy and applicability domain metrics (year 3) (öffnet in neuem Fenster)

Report on model accuracy metrics first year and model accuracy and applicability domain metrics second and third year

Initial Project communication plan and toolset (year 2) (öffnet in neuem Fenster)

Initial Project communication plan and toolset; updates

Report on aggregated metrics for yearly run (year 3) (öffnet in neuem Fenster)

Report on aggregated metrics for yearly run

Data preparation manual (öffnet in neuem Fenster)

Data preparation manual one version for each run M6 18 29

Data Management Plan (öffnet in neuem Fenster)

Data Management Plan; updates (M3, 12, 24)

Data preparation manual (year 2) (öffnet in neuem Fenster)

Data preparation manual one version for each run

Report on computational strategies for meta-optimization and advanced hyperparameter tuning (year 3) (öffnet in neuem Fenster)

Report on computational strategies for metaoptimization and advanced hyperparameter tuning

Project Management Plan (öffnet in neuem Fenster)
Initial Project communication plan and toolset (year 3) (öffnet in neuem Fenster)

Initial Project communication plan and toolset updates

Description of transversal coordination process and agile method for IT development cycle (öffnet in neuem Fenster)
Documentation material including articles and use case description (final) (öffnet in neuem Fenster)

Documentation material including articles and use case description draft and final version

Documentation material of the version 2 (öffnet in neuem Fenster)

Documentation material of the version 2 (v2) of the platform, and platform pre-release for audit by WP5

Veröffentlichungen

Privacy-Preserving and Bandwidth-Efficient Federated Learning: An Application to In-Hospital Mortality Prediction (öffnet in neuem Fenster)

Autoren: Raouf Kerkouche, Gergely Acs, Claude Castelluccia, Pierre Geneves
Veröffentlicht in: ACM Conference on Health, Inference, and Learning (CHIL), 2021, Seite(n) 25-35, ISBN 978-1-4503-3307-8
Herausgeber: ACM
DOI: 10.1145/3450439.3451859

Don’t Overweight Weights: Evaluation of Weighting Strategies for Multi-Task Bioactivity Classification Models (öffnet in neuem Fenster)

Autoren: Lina Humbeck, Tobias Morawietz, Noe Sturm, Adam Zalewski, Simon Harnqvist, Wouter Heyndrickx, Matthew Holme, Bernd Beck
Veröffentlicht in: MDPI molecules, Ausgabe 2021, 26 (22), 2021, ISSN 1420-3049
Herausgeber: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/molecules26226959

Splitting chemical structure data sets for federated privacy-preserving machine learning (öffnet in neuem Fenster)

Autoren: Simm, Jaak; Humbeck, Lina; Zalewski, Adam; Sturm, Noe; Heyndrickx, Wouter; Moreau, Yves; Beck, Bernd; Schuffenhauer, Ansgar
Veröffentlicht in: Journal of Cheminformatics, Ausgabe 2021, vol 13, 2021, ISSN 2573-2293
Herausgeber: Springer
DOI: 10.1186/s13321-021-00576-2

ChemGrapher: Optical Graph Recognition of Chemical Compounds by Deep Learning (öffnet in neuem Fenster)

Autoren: Martijn Oldenhof, Adam Arany, Yves Moreau, Jaak Simm
Veröffentlicht in: Journal of Chemical Information and Modeling, Ausgabe 60/10, 2020, Seite(n) 4506-4517, ISSN 1549-9596
Herausgeber: American Chemical Society
DOI: 10.1021/acs.jcim.0c00459

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