Daniel Hoffmann

Classifier uncertainty: evidence, potential impact, and probabilistic treatment

Classifiers are often tested on relatively small data sets, which should lead to uncertain performance metrics. Nevertheless, these metrics are usually taken at face value. We present an approach...

Arevir: A Secure Platform for Designing Personalized Antiretroviral Therapies Against HIV

Identifying drug resistance-associated patterns in HIV genotypes

Spatial contiguity and implicit learning in hypertext

Characterization of Novel HIV Drug Resistance Mutations Using Clustering, Multidimensional Scaling and SVM-Based Feature Ranking

Methods for optimizing antiviral combination therapies

Using A/B testing in MOOC environments

Learning multiple evolutionary pathways from cross-sectional data

Unsupervised Dimension Reduction Methods for Protein Sequence Classification

Proprioceptive Interaction

Proprioceptive Interaction

GravitySpace: tracking users and their poses in a smart room using a pressure-sensing floor

GravitySpace: tracking users and their poses in a smart room using a pressure-sensing floor

A multi-objective evolutionary approach to peptide structure redesign and stabilization

Construction of adaptive exponential multi-operator splitting methods

We construct splitting methods suitable for the solution of the equations of magnetohydrodynamics (MHD). Due to the physical significance of the involved operators, splittings into three or even...