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Splitting chemical structure data sets for federated privacy-preserving machine learning.

J. Simm, L. Humbeck, A. Zalewski, N. Sturm, W. Heyndrickx, Y. Moreau, B. Beck, and A. Schuffenhauer. J. Cheminformatics, 13 (1): 96 (2021)

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Ansgar Schuffenhauer

Gerhart Schuffenhauer

Heinz Schuffenhauer

Mathias Schuffenhauer

Heinz Schuffenhauer

Other publications of authors with the same name

Compound Set Enrichment: A Novel Approach to Analysis of Primary HTS Data.T. Varin, H. Gubler, C. Parker, J. Zhang, P. Raman, P. Ertl, and A. Schuffenhauer. Journal of Chemical Information and Modeling, 50 (12): 2067-2078 (2010)Relationships between Molecular Complexity, Biological Activity, and Structural Diversity.A. Schuffenhauer, N. Brown, P. Selzer, P. Ertl, and E. Jacoby. Journal of Chemical Information and Modeling, 46 (2): 525-535 (2006)New Methods for Ligand-Based Virtual Screening: Use of Data Fusion and Machine Learning to Enhance the Effectiveness of Similarity Searching.J. Hert, P. Willett, D. Wilton, P. Acklin, K. Azzaoui, E. Jacoby, and A. Schuffenhauer. Journal of Chemical Information and Modeling, 46 (2): 462-470 (2006)An Ontology for Pharmaceutical Ligands and Its Application for in Silico Screening and Library Design.A. Schuffenhauer, J. Zimmermann, R. Stoop, J. van der Vyver, S. Lecchini, and E. Jacoby. Journal of Chemical Information and Computer Sciences, 42 (4): 947-955 (2002)Clustering and Rule-Based Classifications of Chemical Structures Evaluated in the Biological Activity Space.A. Schuffenhauer, N. Brown, P. Ertl, J. Jenkins, P. Selzer, and J. Hamon. Journal of Chemical Information and Modeling, 47 (2): 325-336 (2007)Splitting chemical structure data sets for federated privacy-preserving machine learning.J. Simm, L. Humbeck, A. Zalewski, N. Sturm, W. Heyndrickx, Y. Moreau, B. Beck, and A. Schuffenhauer. J. Cheminformatics, 13 (1): 96 (2021)Industry-Scale Orchestrated Federated Learning for Drug Discovery.M. Oldenhof, G. Ács, B. Pejó, A. Schuffenhauer, N. Holway, N. Sturm, A. Dieckmann, O. Fortmeier, E. Boniface, C. Mayer and 37 other author(s). AAAI, page 15576-15584. AAAI Press, (2023)MELLODDY: Cross-pharma Federated Learning at Unprecedented Scale Unlocks Benefits in QSAR without Compromising Proprietary Information.W. Heyndrickx, L. Mervin, T. Morawietz, N. Sturm, L. Friedrich, A. Zalewski, A. Pentina, L. Humbeck, M. Oldenhof, R. Niwayama and 39 other author(s). J. Chem. Inf. Model., 64 (7): 2331-2344 (2024)Mining for Bioactive Scaffolds with Scaffold Networks: Improved Compound Set Enrichment from Primary Screening Data.T. Varin, A. Schuffenhauer, P. Ertl, and S. Renner. Journal of Chemical Information and Modeling, 51 (7): 1528-1538 (2011)Sequential Superparamagnetic Clustering for Unbiased Classification of High-Dimensional Chemical Data.T. Ott, A. Kern, A. Schuffenhauer, M. Popov, P. Acklin, E. Jacoby, and R. Stoop. Journal of Chemical Information and Modeling, 44 (4): 1358-1364 (2004)

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Disambiguation of "Schuffenhauer, Ansgar"

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Splitting chemical structure data sets for federated privacy-preserving machine learning.

Please choose a person to relate this publication to

Ansgar Schuffenhauer

Gerhart Schuffenhauer

Heinz Schuffenhauer

Mathias Schuffenhauer

Heinz Schuffenhauer

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Schuffenhauer, Ansgar"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Splitting chemical structure data sets for federated privacy-preserving machine learning.

Please choose a person to relate this publication to

Ansgar Schuffenhauer

Gerhart Schuffenhauer

Heinz Schuffenhauer

Mathias Schuffenhauer

Heinz Schuffenhauer

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Splitting chemical structure data sets for federated privacy-preserving machine learning.