Network Farthest-Point Diagrams. - Prosenjit Bose; Kai Dannies; Jean-Lou De Carufel; Christoph Doell; Carsten Grimm; Anil Maheshwari; Stefan Schirra; Michiel H. M. Smid (J. Comput. Geom., 2013)

A Clustering Approach to a Major-Accident Data Set: Analysis of Key Interactions to Minimise Human Errors. - Raphael Moura; Christoph Doell; Michael Beer; Rudolf Kruse (SSCI, 2015)

Evaluation of Cognitive Architectures Inspired by Cognitive Biases. - Christoph Doell; Sophie Siebert (BICA, 2016)

A decision heuristic for Monte Carlo tree search doppelkopf agents. - Alexander Dockhorn; Christoph Doell; Matthias Hewelt; Rudolf Kruse (SSCI, 2017)

Training Neural Networks to Distinguish Craving Smokers, Non-craving Smokers, and Non-smokers. - Christoph Doell; Sarah E. Donohue; Cedrik Pätz; Christian Borgelt (IDA, 2018)

Residual Neural Networks to Distinguish Craving Smokers, Non-craving Smokers and Non-smokers by their EEG signals. - Christoph Doell; Sarah E. Donohue; Christian Borgelt (SSCI, 2018)

Wide and Deep Reinforcement Learning Extended for Grid-Based Action Games. - Juan M. Montoya; Christoph Doell; Christian Borgelt (ICAART (Revised Selected Papers), 2019)

Aggregation of Subclassifications: Methods, Tools and Experiments. - Christoph Doell; Christian Borgelt (SSCI, 2019)

Methods for Multivariate Time-Series Classification on Brain Data : Aggregation, Stratification and Neural Network Models - Christoph Doell (2021)