Sarah Cohen-Boulakia

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 10

Top Topics

Biological Data

Object Extraction

Rank Aggregation

Conceptual Models

Top Venues

Int. J. Approx. Reason.

Publications

Thomas Cokelaer, Sarah Cohen-Boulakia, Frédéric Lemoine
Reprohackathons: promoting reproducibility in bioinformatics through training. Bioinform. 39 (Supplement-1) (2023)
Pierre Andrieu, Sarah Cohen-Boulakia, Miguel Couceiro, Alain Denise, Adeline Pierrot
A unifying rank aggregation framework to suitably and efficiently aggregate any kind of rankings. Int. J. Approx. Reason. 162 (2023)
Clémence Sebe, Aurélie Névéol, Sarah Cohen-Boulakia, Alban Gaignard
Extraction d'informations sur les workflows scientifiques à partir de la littérature. EGC (2023)
Sarah Cohen-Boulakia
FAIR ScientificWorkflows: Status, Challenges and Research Opportunities. EGC (2022)
Véronique Benzaken, Sarah Cohen-Boulakia, Evelyne Contejean, Chantal Keller, Rébecca Zucchini
A Coq formalization of data provenance. CPP (2021)
Pierre Andrieu, Bryan Brancotte, Laurent Bulteau, Sarah Cohen-Boulakia, Alain Denise, Adeline Pierrot, Stéphane Vialette
Efficient, robust and effective rank aggregation for massive biological datasets. Future Gener. Comput. Syst. 124 (2021)
Carole A. Goble, Sarah Cohen-Boulakia, Stian Soiland-Reyes, Daniel Garijo, Yolanda Gil, Michael R. Crusoe, Kristian Peters, Daniel Schober
FAIR Computational Workflows. Data Intell. 2 (1-2) (2020)
Christophe Pradal, Sarah Cohen-Boulakia, Patrick Valduriez, Dennis E. Shasha, Konrad Hinsen, Matthew A. Turk
VersionClimber: Version Upgrades Without Tears. Comput. Sci. Eng. 21 (5) (2019)
Frédéric Lemoine, Damien Correia, Vincent Lefort, Olivia Doppelt-Azeroual, Fabien Mareuil, Sarah Cohen-Boulakia, Olivier Gascuel
NGPhylogeny.fr: new generation phylogenetic services for non-specialists. Nucleic Acids Res. 47 (Webserver-Issue) (2019)
Pierre Andrieu, Bryan Brancotte, Laurent Bulteau, Sarah Cohen-Boulakia, Alain Denise, Adeline Pierrot, Stéphane Vialette
Reliability-Aware and Graph-Based Approach for Rank Aggregation of Biological Data. eScience (2019)