Zobrazeno 1 - 10
of 1 610
pro vyhledávání: '"A, van der Loo"'
In this paper we introduce a general version of the anonymization problem in social networks, in which the goal is to maximize the number of anonymous nodes by altering a given graph. We define three variants of this optimization problem, being full,
Externí odkaz:
http://arxiv.org/abs/2409.16163
Privacy-aware sharing of network data is a difficult task due to the interconnectedness of individuals in networks. An important part of this problem is the inherently difficult question of how in a particular situation the privacy of an individual n
Externí odkaz:
http://arxiv.org/abs/2407.02290
Autor:
van der Loo, Mark P. J.
Partitioning a data set by one or more of its attributes and computing an aggregate for each part is one of the most common operations in data analyses. There are use cases where the partitioning is determined dynamically by collapsing smaller subset
Externí odkaz:
http://arxiv.org/abs/2406.09887
Ensuring privacy of individuals is of paramount importance to social network analysis research. Previous work assessed anonymity in a network based on the non-uniqueness of a node's ego network. In this work, we show that this approach does not adequ
Externí odkaz:
http://arxiv.org/abs/2306.13508
Autor:
Aimée S. R. Westerveld, Pien Roesthuis, Helena J. H. van der Pal, Dorine Bresters, Marc Bierings, Jacqueline Loonen, Andrica C. H. de Vries, Marloes Louwerens, Maria M. W. Koopman, Marry M. van den Heuvel-Eibrink, Margriet van der Heiden-van der Loo, Peter Hoogerbrugge, Geert O. Janssens, Ronald R. de Krijger, Cecile M. Ronckers, Rob Pieters, Leontien C. M. Kremer, Jop C. Teepen
Publikováno v:
Blood Cancer Journal, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract Acute lymphoblastic leukemia (ALL) survivors are at risk for developing subsequent neoplasms, but there is limited information on long-term risks and risk factors for both subsequent malignant neoplasms (SMNs) and subsequent non-malignant ne
Externí odkaz:
https://doaj.org/article/dd1578a6e4ab4a39aa7be9fb7ad260a1
Autor:
Xueyuan Liu, Riffard Jean-Gilles, Julia Baginski, Christina Cai, Ruilan Yan, Lili Zhang, Kevin Lance, Johannes C.M. van der Loo, Beverly L. Davidson
Publikováno v:
Molecular Therapy: Methods & Clinical Development, Vol 32, Iss 3, Pp 101298- (2024)
Recombinant adeno-associated virus (rAAV)-based gene therapies are expanding in their application. Despite progress in manufacturing, current analytical methods for product quantification and characterization remain largely unchanged. Although critic
Externí odkaz:
https://doaj.org/article/2f77cd4b3e5c4b8fb79a86dae4ba5380
Autor:
Liu, Xueyuan, Jean-Gilles, Riffard, Baginski, Julia, Cai, Christina, Yan, Ruilan, Zhang, Lili, Lance, Kevin, van der Loo, Johannes C.M., Davidson, Beverly L.
Publikováno v:
In Molecular Therapy - Methods & Clinical Development 12 September 2024 32(3)
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Ensuring privacy of individuals is of paramount importance to social network analysis research. Previous work assessed anonymity in a network based on the non-uniqueness of a node’s ego network. In this work, we show that this approach doe
Externí odkaz:
https://doaj.org/article/4777d1ae525b4a6ebbfb6001cf18adc6
Data validation is the activity where one decides whether or not a particular data set is fit for a given purpose. Formalizing the requirements that drive this decision process allows for unambiguous communication of the requirements, automation of t
Externí odkaz:
http://arxiv.org/abs/2012.12028
Autor:
van der Loo, Mark P. J.
Monitoring data while it is processed and transformed can yield detailed insight into the dynamics of a (running) production system. The lumberjack package is a lightweight package allowing users to follow how an R object is transformed as it is mani
Externí odkaz:
http://arxiv.org/abs/2005.04050