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Clemens Otte
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- affiliation: Siemens AG, Corporate Technology
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2020 – today
- 2024
- [i7]Clemens Otte, Yinchong Yang, Danny Benlin Oswan:
Data-driven Verification of DNNs for Object Recognition. CoRR abs/2408.00783 (2024) - [i6]Steffen Limmer, Steffen Udluft, Clemens Otte:
Neural-ANOVA: Model Decomposition for Interpretable Machine Learning. CoRR abs/2408.12319 (2024) - 2022
- [c12]Philipp Scholl, Felix Dietrich, Clemens Otte, Steffen Udluft:
Safe Policy Improvement Approaches and Their Limitations. ICAART (Revised Selected Paper 2022: 74-98 - [c11]Philipp Scholl, Felix Dietrich, Clemens Otte, Steffen Udluft:
Safe Policy Improvement Approaches on Discrete Markov Decision Processes. ICAART (2) 2022: 142-151 - [i5]Philipp Scholl, Felix Dietrich, Clemens Otte, Steffen Udluft:
Safe Policy Improvement Approaches on Discrete Markov Decision Processes. CoRR abs/2201.12175 (2022) - [i4]Philipp Scholl, Felix Dietrich, Clemens Otte, Steffen Udluft:
Safe Policy Improvement Approaches and their Limitations. CoRR abs/2208.00724 (2022) - 2020
- [j4]Markus Kaiser
, Clemens Otte, Thomas A. Runkler
Bayesian decomposition of multi-modal dynamical systems for reinforcement learning. Neurocomputing 416: 352-359 (2020)
2010 – 2019
- 2019
- [c10]Markus Kaiser, Clemens Otte, Thomas A. Runkler, Carl Henrik Ek:
interpretable dynamics models for data-efficient reinforcement learning. ESANN 2019 - [c9]Markus Kaiser, Clemens Otte, Thomas A. Runkler
Data Association with Gaussian Processes. ECML/PKDD (2) 2019: 548-564 - [i3]Markus Kaiser, Clemens Otte, Thomas A. Runkler, Carl Henrik Ek:
Interpretable Dynamics Models for Data-Efficient Reinforcement Learning. CoRR abs/1907.04902 (2019) - 2018
- [c8]Markus Kaiser, Clemens Otte, Thomas A. Runkler, Carl Henrik Ek:
Bayesian Alignments of Warped Multi-Output Gaussian Processes. NeurIPS 2018: 6995-7004 - [i2]Markus Kaiser, Clemens Otte, Thomas A. Runkler, Carl Henrik Ek:
Multimodal Deep Gaussian Processes. CoRR abs/1810.07158 (2018) - 2017
- [i1]Markus Kaiser, Clemens Otte, Thomas A. Runkler, Carl Henrik Ek
Bayesian Alignments of Warped Multi-Output Gaussian Processes. CoRR abs/1710.02766 (2017) - 2014
- [j3]Clemens Otte:
Interpretable semi-parametric regression models with defined error bounds. Neurocomputing 143: 1-6 (2014) - 2013
- [c7]Clemens Otte:
Learning regression models with guaranteed error bounds. ESANN 2013 - 2011
- [j2]Clemens Otte, Christof Störmann:
Improving the accuracy of network intrusion detectors by input-dependent stacking. Integr. Comput. Aided Eng. 18(3): 291-297 (2011) - 2010
- [p2]Jörg Beyer, Kai Heesche, Werner Hauptmann, Clemens Otte, Rudolf Kruse:
Ensemble Learning for Multi-source Information Fusion. Intelligent Autonomous Systems 2010: 123-141
2000 – 2009
- 2009
- [j1]Sebastian Nusser, Clemens Otte, Werner Hauptmann, Oskar Leirich, Manfred Krätschmer, Rudolf Kruse:
Maschinelles Lernen von validierbaren Klassifikatoren zur autonomen Steuerung sicherheitsrelevanter Systeme (Machine Learning of Verifiable Classifiers for Autonomous Control of Safety-related Systems). Autom. 57(3): 138-145 (2009) - [c6]Jörg Beyer, Kai Heesche, Werner Hauptmann, Clemens Otte, Rudolf Kruse:
Ensemble Learning for Multi-source Information Fusion. ECSQARU 2009: 748-756 - [c5]Jörg Beyer, Kai Heesche, Werner Hauptmann, Clemens Otte:
Heterogeneous mixture-of-experts for fusion of locally valid knowledge-based submodels. ESANN 2009 - [p1]Sebastian Nusser, Clemens Otte, Werner Hauptmann:
Verifiable Ensembles of Low-Dimensional Submodels for Multi-class Problems with Imbalanced Misclassification Costs. Applications of Supervised and Unsupervised Ensemble Methods 2009: 191-211 - 2008
- [c4]Sebastian Nusser, Clemens Otte, Werner Hauptmann:
Interpretable ensembles of local models for safety-related applications. ESANN 2008: 301-306 - [c3]Sebastian Nusser, Clemens Otte, Werner Hauptmann:
Multi-Class Extension of Verifiable Ensemble Models for Safety-Related Applications. GfKl 2008: 733-744 - [c2]Sebastian Nusser, Clemens Otte, Werner Hauptmann:
An EM-Based Piecewise Linear Regression Algorithm. HAIS 2008: 466-474 - [c1]Christian Moewes, Clemens Otte, Rudolf Kruse:
Tackling Multiple-Instance Problems in Safety-Related Domains by Quasilinear SVM. SMPS 2008: 409-416
1990 – 1999
- 1998
- [b1]Clemens Otte:
Fuzzy-Prototyp-Klassifikatoren und deren Anwendung zur automatischen Merkmalsselektion. University of Oldenburg, Germany, 1998, pp. 1-172
Coauthor Index
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