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Wolfgang Ertel
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- affiliation: University of Applied Sciences Ravensburg-Weingarten, Germany
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2020 – today
- 2025
- [b4]Wolfgang Ertel:
Introduction to Artificial Intelligence, Third Edition. Undergraduate Topics in Computer Science, Springer 2025, ISBN 978-3-658-43101-3, pp. 1-364 - 2024
- [j9]Mark Locherer, Christopher M. A. Bonenberger, Wolfgang Ertel, Boris Hadaschik, Kristina Stumm, Markus Schneider, Jan-Philipp Radtke:
Multi-label semantic segmentation of magnetic resonance images of the prostate gland. Discov. Artif. Intell. 4(1): 66 (2024) - [c43]Christopher M. A. Bonenberger, Markus Schneider, Wolfgang Ertel, Friedhelm Schwenker:
A Note on Linear Time Series Prediction. KI 2024: 30-44 - 2023
- [j8]Christopher M. A. Bonenberger
, Markus Schneider
A Novel Approach to Spectral Estimation and Moving Average Model Parameter Estimation. IEEE Signal Process. Lett. 30: 1367-1371 (2023) - 2022
- [j7]Christopher M. A. Bonenberger
Singular Spectrum Analysis and Circulant Maximum Variance Frames. Adv. Data Sci. Adapt. Anal. 14(3&4): 2250008:1-2250008:27 (2022) - [j6]Christopher M. A. Bonenberger
Cyclic Nonlinear Correlation Analysis for Time Series. IEEE Access 10: 114223-114231 (2022) - [c42]Matthias Kraus, Nicolas Wagner, Wolfgang Minker, Ankita Agrawal, Artur Schmidt, Pranav Krishna Prasad, Wolfgang Ertel:
KURT: A Household Assistance Robot Capable of Proactive Dialogue. HRI 2022: 855-859 - [c41]Christopher M. A. Bonenberger
Structured Nonlinear Discriminant Analysis. ECML/PKDD (1) 2022: 38-54 - 2021
- [c40]Christopher M. A. Bonenberger
κ-Circulant Maximum Variance Bases. KI 2021: 17-29 - 2020
- [c39]Pranav Krishna Prasad, Benjamin Staehle, Igor Chernov, Wolfgang Ertel
Grasping Unknown Objects Using Convolutional Neural Networks. IntelliSys (3) 2020: 662-672 - [c38]Daniel Hofer, Wolfgang Ertel:
Evaluating Person Re-identification Performance on GAN-enhanced Datasets. ROBOVIS 2020: 77-81
2010 – 2019
- 2019
- [c37]Christopher M. A. Bonenberger
Feature-Based Gait Pattern Classification for a Robotic Walking Frame. AALTD@PKDD/ECML 2019: 101-109 - 2018
- [c36]Benjamin Staehle, Wolfgang Ertel:
Teaching ROS efficiently to mixed skill classes. TRROS@ERF 2018: 41-46 - [c35]Ankita Agrawal, Wolfgang Ertel:
Automatic Nursing Care Trainer Based on Machine Learning. KDH@IJCAI 2018: 53-59 - 2017
- [b3]Wolfgang Ertel:
Introduction to Artificial Intelligence, Second Edition. Undergraduate Topics in Computer Science, Springer 2017, ISBN 978-3-319-58486-7, pp. 1-338 - [c34]Johannes Reichold, Ankita Agrawal, Marieke E. Thurlings, Iris Cohen, Barbara Weber-Fiori, Anita Rölle, M. Muneeb Hassan, Maximilian Dürr, Ulrike Pfeil, Anna-Antonia Pape, Gerd Grünert, Artur Schmidt, Markus Pfeil, Victor Fäßler, Volker Jauch, Harald Reiterer, Maik Winter, Wolfgang Ertel, Jörg Eberhardt:
Human-Machine Interaction in Care-Education. MuC (Workshopband) 2017 - 2016
- [j5]Markus Schneider, Wolfgang Ertel
Expected similarity estimation for large-scale batch and streaming anomaly detection. Mach. Learn. 105(3): 305-333 (2016) - [c33]Markus Schneider, Wolfgang Ertel
Constant Time EXPected Similarity Estimation for Large-Scale Anomaly Detection. ECAI 2016: 12-20 - [i9]Markus Schneider, Wolfgang Ertel, Fabio T. Ramos:
Expected Similarity Estimation for Large-Scale Batch and Streaming Anomaly Detection. CoRR abs/1601.06602 (2016) - 2015
- [c32]Richard Cubek, Wolfgang Ertel, Günther Palm:
High-level learning from demonstration with conceptual spaces and subspace clustering. ICRA 2015: 2592-2597 - [c31]Markus Schneider, Wolfgang Ertel, Günther Palm:
Expected similarity estimation for large scale anomaly detection. IJCNN 2015: 1-8 - [c30]Markus Schneider, Wolfgang Ertel
Kernel Feature Maps from Arbitrary Distance Metrics. KI 2015: 137-150 - [c29]Richard Cubek, Wolfgang Ertel
A Critical Review on the Symbol Grounding Problem as an Issue of Autonomous Agents. KI 2015: 256-263 - [c28]Vladimir Zakharov, Richard Cubek, Wolfgang Ertel:
Transparent integration of a real-time collision safety system to a motor control chain of a service robot. TePRA 2015: 1-6 - [i8]Markus Schneider, Wolfgang Ertel, Günther Palm:
Constant Time EXPected Similarity Estimation using Stochastic Optimization. CoRR abs/1511.05371 (2015) - 2014
- [c27]Ngo Anh Vien, Hung Quoc Ngo, Wolfgang Ertel:
Monte carlo bayesian hierarchical reinforcement learning. AAMAS 2014: 1551-1552 - [c26]Benjamin Reiner, Wolfgang Ertel, Heiko Posenauer, Markus Schneider:
LAT: A simple Learning from Demonstration method. IROS 2014: 4436-4441 - 2013
- [j4]Ngo Anh Vien, Wolfgang Ertel
Learning via human feedback in continuous state and action spaces. Appl. Intell. 39(2): 267-278 (2013) - [j3]Ngo Anh Vien, Wolfgang Ertel
Monte-Carlo tree search for Bayesian reinforcement learning. Appl. Intell. 39(2): 345-353 (2013) - 2012
- [c25]Ngo Anh Vien, Wolfgang Ertel:
Learning via Human Feedback in Continuous State and Action Spaces. AAAI Fall Symposium: Robots Learning Interactively from Human Teachers 2012 - [c24]Ngo Anh Vien, Wolfgang Ertel:
Reinforcement learning combined with human feedback in continuous state and action spaces. ICDL-EPIROB 2012: 1-6 - [c23]Ngo Anh Vien, Wolfgang Ertel
Monte Carlo Tree Search for Bayesian Reinforcement Learning. ICMLA (1) 2012: 138-143 - [c22]Tobias Fromm
Robust multi-algorithm object recognition using Machine Learning methods. MFI 2012: 490-497 - [c21]Richard Cubek, Wolfgang Ertel:
Conceptual Similarity as a Key to High-Level Robot Programming by Demonstration. ROBOTIK 2012 - [c20]Martin Bertsche, Tobias Fromm
BOR3D: A use-case-oriented software framework for 3-D object recognition. TePRA 2012: 67-72 - 2011
- [b2]Wolfgang Ertel:
Introduction to Artificial Intelligence. Undergraduate Topics in Computer Science, Springer 2011, ISBN 978-0-85729-298-8, pp. I-XI, 1-316 - [j2]Wolfgang Ertel
An Enigma Replica and its Blueprints. Cryptologia 35(1): 16-21 (2011) - 2010
- [c19]Haitham Bou-Ammar, Holger Voos
Controller Design for Quadrotor UAVs using Reinforcement Learning. CCA 2010: 2130-2135 - [c18]Markus Schneider, Richard Cubek, Tobias Fromm
Combining Gaussian Processes and Conventional Path Planning in a Learning from Demonstration Framework. Eurobot Conference 2010: 118-129 - [c17]Markus Schneider, Wolfgang Ertel
Robot Learning by Demonstration with local Gaussian process regression. IROS 2010: 255-260
2000 – 2009
- 2009
- [c16]Michel Tokic, Wolfgang Ertel, Joachim Fessler:
The Crawler, A Class Room Demonstrator for Reinforcement Learning. FLAIRS 2009 - [c15]Wolfgang Ertel, Markus Schneider, Richard Cubek, Michel Tokic:
The Teaching-Box: A universal robot learning framework. ICAR 2009: 1-6 - 2007
- [c14]Christian Folkers, Wolfgang Ertel:
High performance realtime vision for mobile robots on the GPU. VISAPP (Workshop on on Robot Vision) 2007: 27-35 - 2005
- [c13]Wolfgang Ertel, Joachim Fessler, Nico Hochgeschwender:
Flexible Combination of Vision, Control and Drive in Autonomous Mobile Robots. AMS 2005: 245-251 - [c12]Wolfgang Ertel, Joachim Fessler, Nico Hochgeschwender:
A universal modular autonomous robot architecture. ICINCO 2005: 391-394
1990 – 1999
- 1999
- [c11]Wolfgang Ertel, Manfred Schramm:
Combining Data and Knowledge by MaxEnt-Optimization of Probability Distributions. PKDD 1999: 323-328 - 1997
- [j1]János Aczél, Wolfgang Ertel
A New Formula for Speedup and its Characterization. Acta Informatica 34(8): 637-652 (1997) - 1994
- [c10]Wolfgang Ertel
On the Definition of Speedup. PARLE 1994: 289-300 - [c9]Michael Luby, Wolfgang Ertel
Optimal Parallelization of Las Vegas Algorithms. STACS 1994: 463-474 - 1993
- [b1]Wolfgang Ertel:
Parallele Suche mit randomisiertem Wettbewerb in Inferenzsystemen. Technical University Munich, Germany, DISKI 25, Infix Verlag, St. Augustin, Germany 1993, ISBN 3-929037-25-4, pp. 1-172 - [c8]Eike Jessen, Wolfgang Ertel, Christian B. Suttner:
Optimal Multiprogramming Control for Parallel Computations. Parallel Computer Architectures 1993: 49-65 - [i7]Michael Luby, Wolfgang Ertel:
Optimal parallelization of Las Vegas algorithms. Forschungsberichte, TU Munich TUM I 9329: 1-17 (1993) - 1992
- [c7]Wolfgang Ertel
OR-Parallel Theorem Proving with Random Competition. LPAR 1992: 226-237 - 1991
- [c6]Wolfgang Ertel:
Performance of Competitive OR-Parallelism. ICLP Workshop on Parallel Execution of Logic Programs 1991: 132-145 - [i6]Wolfgang Ertel:
Performance analysis of competitive OR-parallel theorem proving. Forschungsberichte, TU Munich FKI 162 91: 1-14 (1991) - 1990
- [c5]Christian B. Suttner, Wolfgang Ertel:
Automatic Acquisition of Search Guiding Heuristics. CADE 1990: 470-484 - [c4]Wolfgang Ertel:
Random Competition: A Simple but Efficient Method for Parallelizing Inference Systems. Dagstuhl Seminar on Parallelization in Inference Systems 1990: 195-209 - [c3]Wolfgang Ertel, Christian B. Suttner:
Project PARIS: Parallelisation of Inference Systems. Dagstuhl Seminar on Parallelization in Inference Systems 1990: 363 - [i5]Christian B. Suttner, Wolfgang Ertel:
Using connectionist networks for guiding the search of a theorem prover. Forschungsberichte, TU Munich TUM I 9011: 1-18 (1990) - [i4]Wolfgang Ertel:
Random competition: a simple, but efficient method for parallelizing inference systems. Forschungsberichte, TU Munich TUM I 9050: 1-14 (1990)
1980 – 1989
- 1989
- [c2]Wolfgang Ertel, Johann Schumann, Christian B. Suttner:
Learning Heuristics for a Theorem Prover Using Back Propagation. ÖGAI 1989: 87-95 - [c1]Wolfgang Ertel, Franz J. Kurfess
PARTHEO: A Parallel Inference Machine. PARLE (1) 1989: 458-476 - [i3]Johann M. Ph. Schumann, Wolfgang Ertel, Christian B. Suttner:
Learning heuristics for a theorem prover using back propagation. Forschungsberichte, TU Munich FKI 100 89: 1-9 (1989) - [i2]Wolfgang Ertel:
Backpropagation with temperature parameter and random pattern presentation. Forschungsberichte, TU Munich FKI 114 89: 1-10 (1989) - [i1]Christian B. Suttner, Wolfgang Ertel:
Automatic acquisition of search guiding heuristics. Forschungsberichte, TU Munich FKI 115 89: 1-15 (1989)
Coauthor Index
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