Identifying Biochemical Reaction Networks From Heterogeneous Datasets

Data Inte- gration and VISualization (DIVIS) : from large heterogeneous datasets to interpretable visualisations in plant science... Data Integration and VISualization

For both our mixture of embeddings (MEE) model and the 0-padding baseline adding COCO images to the video training set improves performance on both COCO images but also MPII

Keywords : Neural networks, Clustering, Distributed and modular Classification systems, Learning, Pattern

Now as a research scientist with the systems biology group Ibis, my research activities cover aspects of data analysis, mathematical modelling of biochemical networks, and cell

ISO 12620: Terminology and other language and content resources – Specification of data categories and management of a Data Category Registry for language resources (2009) 2.

We have shown that in the Biochemical Abstract Machine BIOCHAM, the rule-based language for modeling bio- molecular interactions, and the temporal logics used for formalizing

Experiments are carried out as follows: determine data weighting (output item is uniformly discretized into three labels when needing labels), add data weighting to the

In order to model resource storage, we introduce a novel technique of reparametrization of deterministic models of Biochemical Reaction Networks, which allows one to tune the