LPbyCD: a new scalable and interpretable approach for Link Prediction via Community Detection in bipartite networks

Autor: Maksim Koptelov, Albrecht Zimmermann, Bruno Crémilleux, Lina F. Soualmia

Publikováno v: Applied Network Science, Vol 6, Iss 1, Pp 1-39 (2021)

Abstract Many aspects from real life with bi-relational structure can be modeled as bipartite networks. This modeling allows the use of some standard solutions for prediction and/or recommendation of new relations between objects in such networks. In

Externí odkaz: https://doaj.org/article/1966d30bcaae49e6b3dad1bd870eab54

Tracing and analyzing COVID-19 dissemination using knowledge graphs

Autor: Gabriel H.A. Medeiros, Lina F. Soualmia, Cecilia Zanni-Merk, Ramiz Hagverdiyev

Publikováno v: Procedia Computer Science. 207:2172-2181

The COVID-19 (SARS-CoV-2) spread around the globe could have been halted if we had had a better understanding of the situation and applied more restrictive measures for travel adapted to each country. This is due to a lack of efficient tools to visua

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::587bb990a81132636d310173b8237da8
https://doi.org/10.1016/j.procs.2022.09.277

Analyzing SARS-CoV-2 Sequence Patterns by Semantic Trajectories

Autor: Wissame Laddada, Cecilia Zanni-Merk, Lina F. Soualmia

Since the beginning of the pandemic due to the SARS-CoV-2 emergence, several variants has been observed all over the world. One of the last known, Omicron, caused a large spread of the virus in few days, and several countries reached a record number

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::89915f210eca1dd663ea08ee23ff39b3
https://doi.org/10.3233/shti220696

OntoBioStat: Supporting Causal Diagram Design and Analysis

Autor: Thibaut Pressat Laffouilhère, Julien Grosjean, Jacques Bénichou, Stefan J. Darmoni, Lina F. Soualmia

Publikováno v: Studies in Health Technology and Informatics
Studies in Health Technology and Informatics, 2022, Studies in Health Technology and Informatics, 294, pp.302-306. ⟨10.3233/SHTI220463⟩

International audience; Suitable causal inference in biostatistics can be best achieved by knowledge representation thanks to causal diagrams or directed acyclic graphs. However, necessary and sufficient causes are not easily represented. Since exist

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::752c8b2371728303e78a269eca8ea155
https://pubmed.ncbi.nlm.nih.gov/35612081

Assisting Data Retrieval with a Drug Knowledge Graph

Autor: Romain, Lelong, Badisse, Dahamna, Romain, Leguillon, Julien, Grosjean, Catherine, Letord, Stéfan J, Darmoni, Lina F, Soualmia

Publikováno v: Studies in health technology and informatics. 289

The Normandy health data warehouse EDSaN integrates the medication orders from the University Hospital of Rouen (France). This study aims at describing the design and the evaluation of an information retrieval system founded on a complex and semantic

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::233f29a10988ad9f28640627c50970a6
https://pubmed.ncbi.nlm.nih.gov/35062142