1 citations · 2 across the 6 of their papers we have counts for
7 papers
On the role of data, statistics and decisions in a pandemic
Beate Jahn, Sarah Friedrich, Joachim Behnke +9
A pandemic poses particular challenges to decision-making because of the need to continuously adapt decisions to rapidly changing evidence and available data. For example, which co…
A multi-schematic classifier-independent oversampling approach for imbalanced datasets
Saptarshi Bej, Kristian Schultz, Prashant Srivastava +2
Over 85 oversampling algorithms, mostly extensions of the SMOTE algorithm, have been built over the past two decades, to solve the problem of imbalanced datasets. However, it has b…
LoRAS: An oversampling approach for imbalanced datasets
Saptarshi Bej, Narek Davtyan, Markus Wolfien +2
The Synthetic Minority Oversampling TEchnique (SMOTE) is widely-used for the analysis of imbalanced datasets. It is known that SMOTE frequently over-generalizes the minority class,…
Accounting for Randomness in Measurement and Sampling in Study of Cancer Cell Population Dynamics
Siavash Ghavami, Olaf Wolkenhauer, Farshad Lahouti +2
Studying the development of malignant tumours, it is important to know and predict the proportions of different cell types in tissue samples. Knowing the expected temporal evolutio…
Investigating the two-moment characterisation of subcellular biochemical networks
Mukhtar Ullah, Olaf Wolkenhauer
While ordinary differential equations (ODEs) form the conceptual framework for modelling many cellular processes, specific situations demand stochastic models to capture the influe…
Feedback Medicine: Control Systems Concepts in Personalised, Predictive Medicine and Combinatorial Intervention
Peter Wellstead, Rick Middleton, Olaf Wolkenhauer
In its broadest definition, systems biology is the application of a `systems' way of thinking about and doing cell biology. By implication, this also invites us to consider a syste…