Clemens Otte

Bayesian decomposition of multi-modal dynamical systems for reinforcement learning

Thomas A. Runkler, Carl Henrik Ek, Clemens Otte, 2020, Neurocomputing.

Data Association with Gaussian Processes

Carl Henrik Ek, Clemens Otte, Thomas Runkler, 2018, ECML/PKDD.

Multimodal Deep Gaussian Processes pdf

Thomas A. Runkler, Carl Henrik Ek, Clemens Otte, 2018, ArXiv.

Verifiable Ensembles of Low-Dimensional Submodels for Multi-class Problems with Imbalanced Misclassification Costs

Werner Hauptmann, Clemens Otte, Sebastian Nusser, 2009, Applications of Supervised and Unsupervised Ensemble Methods.

Interpretable ensembles of local models for safety-related applications

Werner Hauptmann, Clemens Otte, Sebastian Nusser, 2008, ESANN.

Safe and Interpretable Machine Learning: A Methodological Review

Clemens Otte, Clemens Otte, 2013 .

Safe Policy Improvement Approaches and their Limitations

S. Udluft, Felix Dietrich, P. Scholl, 2022, ICAART (Revised Selected Paper.

Learning Verifiable Ensembles for Classification Problems with High Safety Requirements

Rudolf Kruse, Werner Hauptmann, Clemens Otte, 2010 .

Tackling Multiple-Instance Problems in Safety-Related Domains by Quasilinear SVM

Rudolf Kruse, Clemens Otte, Christian Moewes, 2008, SMPS.

Safe Policy Improvement Approaches on Discrete Markov Decision Processes

S. Udluft, Felix Dietrich, P. Scholl, 2022, ICAART.