Christoph Doell
Christoph Doell
Research Assistant, Computer Science, University of Konstanz
Bestätigte E-Mail-Adresse bei - Startseite
Zitiert von
Zitiert von
Fuzzy systems
R Kruse, C Moewes
BG Teubner Stuttgart, 1993
Network farthest-point diagrams
P Bose, K Dannies, JL De Carufel, C Doell, C Grimm, A Maheshwari, ...
arXiv preprint arXiv:1304.1909, 2013
A decision heuristic for Monte Carlo tree search doppelkopf agents
A Dockhorn, C Doell, M Hewelt, R Kruse
2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2017
Evaluation of cognitive architectures inspired by cognitive biases
C Doell, S Siebert
Procedia Computer Science 88, 155-162, 2016
A clustering approach to a major-accident data set: Analysis of key interactions to minimise human errors
R Moura, C Doell, M Beer, R Kruse
2015 IEEE Symposium Series on Computational Intelligence, 1838-1843, 2015
Analysis of a major-accident dataset by Association Rule Mining to minimise unsafe interfaces
C Doell, P Held, R Moura, R Kruse, M Beer
Proceedings of the International Probabilistic Workshop (IPW2015), Liverpool …, 2015
Aggregation of Subclassifications: Methods, Tools and Experiments
C Doell, C Borgelt
2019 IEEE Symposium Series on Computational Intelligence (SSCI), 3124-3131, 2019
Training Neural Networks to distinguish craving smokers, non-craving smokers, and non-smokers
C Doell, S Donohue, C Pätz, C Borgelt
International Symposium on Intelligent Data Analysis, 75-86, 2018
Wide and Deep Reinforcement Learning Extended for Grid-Based Action Games
JM Montoya, C Doell, C Borgelt
International Conference on Agents and Artificial Intelligence, 224-245, 2019
Residual Neural Networks to Distinguish Craving Smokers, Non-craving Smokers and Non-smokers by their EEG Signals
C Doell, D Sarah, C Borgelt
Proc. 2018 Symposium Series on Computational Intelligence (SSCI 2018 …, 2018
Fuzzy Systems
F Clustering, R Kruse, C Doell
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