Clemens Otte

According to our database, Clemens Otte authored at least 20 papers between 1998 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Safe Policy Improvement Approaches and Their Limitations.

Philipp Scholl, Felix Dietrich, Clemens Otte, Steffen Udluft

Proceedings of the Agents and Artificial Intelligence - 14th International Conference, 2022

Safe Policy Improvement Approaches on Discrete Markov Decision Processes.

Philipp Scholl, Felix Dietrich, Clemens Otte, Steffen Udluft

Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022

2020

Bayesian decomposition of multi-modal dynamical systems for reinforcement learning.

Markus Kaiser, Clemens Otte, Thomas A. Runkler, Carl Henrik Ek

Neurocomputing, 2020

2019

Data Association with Gaussian Processes.

Markus Kaiser, Clemens Otte, Thomas A. Runkler, Carl Henrik Ek

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

interpretable dynamics models for data-efficient reinforcement learning.

Markus Kaiser, Clemens Otte, Thomas A. Runkler, Carl Henrik Ek

Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

2018

Multimodal Deep Gaussian Processes.

Markus Kaiser, Clemens Otte, Thomas A. Runkler, Carl Henrik Ek

CoRR, 2018

Bayesian Alignments of Warped Multi-Output Gaussian Processes.

Markus Kaiser, Clemens Otte, Thomas A. Runkler, Carl Henrik Ek

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2014

Interpretable semi-parametric regression models with defined error bounds.

Clemens Otte

Neurocomputing, 2014

2013

Learning regression models with guaranteed error bounds.

Clemens Otte

Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

2011

Improving the accuracy of network intrusion detectors by input-dependent stacking.

Clemens Otte, Christof Störmann

Integr. Comput. Aided Eng., 2011

2010

Ensemble Learning for Multi-source Information Fusion.

Jörg Beyer, Kai Heesche, Werner Hauptmann, Clemens Otte, Rudolf Kruse

Proceedings of the Intelligent Autonomous Systems: Foundations and Applications, 2010

2009

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

Sebastian Nusser, Clemens Otte, Werner Hauptmann

Proceedings of the Applications of Supervised and Unsupervised Ensemble Methods, 2009

Maschinelles Lernen von validierbaren Klassifikatoren zur autonomen Steuerung sicherheitsrelevanter Systeme (Machine Learning of Verifiable Classifiers for Autonomous Control of Safety-related Systems).

Sebastian Nusser, Clemens Otte, Werner Hauptmann, Oskar Leirich, Manfred Krätschmer, Rudolf Kruse

Autom., 2009

Heterogeneous mixture-of-experts for fusion of locally valid knowledge-based submodels.

Jörg Beyer, Kai Heesche, Werner Hauptmann, Clemens Otte

Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009

Ensemble Learning for Multi-source Information Fusion.

Jörg Beyer, Kai Heesche, Werner Hauptmann, Clemens Otte, Rudolf Kruse

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2009

2008

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

Christian Moewes, Clemens Otte, Rudolf Kruse

Proceedings of the Soft Methods for Handling Variability and Imprecision, 2008

An EM-Based Piecewise Linear Regression Algorithm.

Sebastian Nusser, Clemens Otte, Werner Hauptmann

Proceedings of the Hybrid Artificial Intelligence Systems, Third International Workshop, 2008

Multi-Class Extension of Verifiable Ensemble Models for Safety-Related Applications.

Sebastian Nusser, Clemens Otte, Werner Hauptmann

Proceedings of the Advances in Data Analysis, Data Handling and Business Intelligence, 2008

Interpretable ensembles of local models for safety-related applications.

Sebastian Nusser, Clemens Otte, Werner Hauptmann

Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008

1998

Fuzzy-Prototyp-Klassifikatoren und deren Anwendung zur automatischen Merkmalsselektion.

Clemens Otte

PhD thesis, 1998