PARTHEO: A Parallel Inference Machine. - Wolfgang Ertel; Franz J. Kurfess; Reinhold Letz; Xavier Pandolfi (PARLE (1), 1989)

Learning heuristics for a theorem prover using back propagation - Johann M. Ph. Schumann; Wolfgang Ertel; Christian B. Suttner (Forschungsberichte, TU Munich, 1989)

Backpropagation with temperature parameter and random pattern presentation - Wolfgang Ertel (Forschungsberichte, TU Munich, 1989)

Automatic acquisition of search guiding heuristics - Christian B. Suttner; Wolfgang Ertel (Forschungsberichte, TU Munich, 1989)

Project PARIS: Parallelisation of Inference Systems. - Wolfgang Ertel; Christian B. Suttner (Dagstuhl Seminar on Parallelization in Inference Systems, 1990)

Using connectionist networks for guiding the search of a theorem prover - Christian B. Suttner; Wolfgang Ertel (Forschungsberichte, TU Munich, 1990)

Random competition: a simple, but efficient method for parallelizing inference systems - Wolfgang Ertel (Forschungsberichte, TU Munich, 1990)

Performance of Competitive OR-Parallelism. - Wolfgang Ertel (ICLP Workshop on Parallel Execution of Logic Programs, 1991)

Performance analysis of competitive OR-parallel theorem proving - Wolfgang Ertel (Forschungsberichte, TU Munich, 1991)

OR-Parallel Theorem Proving with Random Competition. - Wolfgang Ertel (LPAR, 1992)

Parallele Suche mit randomisiertem Wettbewerb in Inferenzsystemen. - Wolfgang Ertel (Infix Verlag, St. Augustin, Germany, 1993)

Optimal Multiprogramming Control for Parallel Computations. - Eike Jessen; Wolfgang Ertel; Christian B. Suttner (Parallel Computer Architectures, 1993)

Optimal parallelization of Las Vegas algorithms - Michael Luby; Wolfgang Ertel (Forschungsberichte, TU Munich, 1993)

On the Definition of Speedup. - Wolfgang Ertel (PARLE, 1994)

A New Formula for Speedup and its Characterization. - János Aczél; Wolfgang Ertel (Acta Informatica, 1997)

Combining Data and Knowledge by MaxEnt-Optimization of Probability Distributions. - Wolfgang Ertel; Manfred Schramm (PKDD, 1999)

Flexible Combination of Vision, Control and Drive in Autonomous Mobile Robots. - Wolfgang Ertel; Joachim Fessler; Nico Hochgeschwender (AMS, 2005)

A universal modular autonomous robot architecture. - Wolfgang Ertel; Joachim Fessler; Nico Hochgeschwender (ICINCO, 2005)

High performance realtime vision for mobile robots on the GPU. - Christian Folkers; Wolfgang Ertel (VISAPP (Workshop on on Robot Vision), 2007)

The Crawler, A Class Room Demonstrator for Reinforcement Learning. - Michel Tokic; Wolfgang Ertel; Joachim Fessler (FLAIRS, 2009)

The Teaching-Box: A universal robot learning framework. - Wolfgang Ertel; Markus Schneider 005; Richard Cubek; Michel Tokic (ICAR, 2009)

Controller Design for Quadrotor UAVs using Reinforcement Learning. - Haitham Bou-Ammar; Holger Voos; Wolfgang Ertel (CCA, 2010)

Combining Gaussian Processes and Conventional Path Planning in a Learning from Demonstration Framework. - Markus Schneider 005; Richard Cubek; Tobias Fromm; Wolfgang Ertel (Eurobot Conference, 2010)

Robot Learning by Demonstration with local Gaussian process regression. - Markus Schneider 005; Wolfgang Ertel (IROS, 2010)

An Enigma Replica and its Blueprints. - Wolfgang Ertel; Lucia Jans; Walter Herzhauser; Joachim Fessler (Cryptologia, 2011)

Introduction to Artificial Intelligence. - Wolfgang Ertel (Springer, 2011)

Learning via Human Feedback in Continuous State and Action Spaces. - Ngo Anh Vien; Wolfgang Ertel (AAAI Fall Symposium: Robots Learning Interactively from Human Teachers, 2012)

Reinforcement learning combined with human feedback in continuous state and action spaces. - Ngo Anh Vien; Wolfgang Ertel (ICDL-EPIROB, 2012)

Monte Carlo Tree Search for Bayesian Reinforcement Learning. - Ngo Anh Vien; Wolfgang Ertel (ICMLA (1), 2012)

Robust multi-algorithm object recognition using Machine Learning methods. - Tobias Fromm; Benjamin Staehle; Wolfgang Ertel (MFI, 2012)

Conceptual Similarity as a Key to High-Level Robot Programming by Demonstration. - Richard Cubek; Wolfgang Ertel (ROBOTIK, 2012)

BOR3D: A use-case-oriented software framework for 3-D object recognition. - Martin Bertsche; Tobias Fromm; Wolfgang Ertel (TePRA, 2012)

Learning via human feedback in continuous state and action spaces. - Ngo Anh Vien; Wolfgang Ertel; TaeChoong Chung (Appl. Intell., 2013)

Monte-Carlo tree search for Bayesian reinforcement learning. - Ngo Anh Vien; Wolfgang Ertel; Viet-Hung Dang; TaeChoong Chung (Appl. Intell., 2013)

Monte carlo bayesian hierarchical reinforcement learning. - Ngo Anh Vien; Hung Quoc Ngo 001; Wolfgang Ertel (AAMAS, 2014)

LAT: A simple Learning from Demonstration method. - Benjamin Reiner; Wolfgang Ertel; Heiko Posenauer; Markus Schneider 005 (IROS, 2014)

High-level learning from demonstration with conceptual spaces and subspace clustering. - Richard Cubek; Wolfgang Ertel; Günther Palm (ICRA, 2015)

Expected similarity estimation for large scale anomaly detection. - Markus Schneider 005; Wolfgang Ertel; Günther Palm (IJCNN, 2015)

Kernel Feature Maps from Arbitrary Distance Metrics. - Markus Schneider 005; Wolfgang Ertel; Günther Palm (KI, 2015)

A Critical Review on the Symbol Grounding Problem as an Issue of Autonomous Agents. - Richard Cubek; Wolfgang Ertel; Günther Palm (KI, 2015)

Transparent integration of a real-time collision safety system to a motor control chain of a service robot. - Vladimir Zakharov; Richard Cubek; Wolfgang Ertel (TePRA, 2015)

Constant Time EXPected Similarity Estimation using Stochastic Optimization. - Markus Schneider 005; Wolfgang Ertel; Günther Palm (CoRR, 2015)

Constant Time EXPected Similarity Estimation for Large-Scale Anomaly Detection. - Markus Schneider 005; Wolfgang Ertel; Günther Palm (ECAI, 2016)

Expected similarity estimation for large-scale batch and streaming anomaly detection. - Markus Schneider 005; Wolfgang Ertel; Fabio Ramos 001 (Mach. Learn., 2016)

Human-Machine Interaction in Care-Education. - 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; et al. (MuC (Workshopband), 2017)

Introduction to Artificial Intelligence, Second Edition - Wolfgang Ertel (Springer, 2017)

Teaching ROS efficiently to mixed skill classes. - Benjamin Staehle; Wolfgang Ertel (TRROS@ERF, 2018)

Automatic Nursing Care Trainer Based on Machine Learning. - Ankita Agrawal; Wolfgang Ertel (KDH@IJCAI, 2018)

Feature-Based Gait Pattern Classification for a Robotic Walking Frame. - Christopher M. A. Bonenberger; Benjamin Kathan; Wolfgang Ertel (AALTD@PKDD/ECML, 2019)

Grasping Unknown Objects Using Convolutional Neural Networks. - Pranav Krishna Prasad; Benjamin Staehle; Igor Chernov; Wolfgang Ertel (IntelliSys (3), 2020)

Evaluating Person Re-identification Performance on GAN-enhanced Datasets. - Daniel Hofer; Wolfgang Ertel (ROBOVIS, 2020)

κ-Circulant Maximum Variance Bases. - Christopher M. A. Bonenberger; Wolfgang Ertel; Markus Schneider 005 (KI, 2021)

KURT: A Household Assistance Robot Capable of Proactive Dialogue. - Matthias Kraus 001; Nicolas Wagner 003; Wolfgang Minker; Ankita Agrawal; Artur Schmidt; Pranav Krishna Prasad; Wolfgang Ertel (HRI, 2022)

Structured Nonlinear Discriminant Analysis. - Christopher M. A. Bonenberger; Wolfgang Ertel; Markus Schneider 005; Friedhelm Schwenker (ECML/PKDD (1), 2022)

Singular Spectrum Analysis and Circulant Maximum Variance Frames. - Christopher M. A. Bonenberger; Wolfgang Ertel; Friedhelm Schwenker; Markus Schneider 005 (Adv. Data Sci. Adapt. Anal., 2022)

Cyclic Nonlinear Correlation Analysis for Time Series. - Christopher M. A. Bonenberger; Friedhelm Schwenker; Wolfgang Ertel; Markus Schneider 005 (IEEE Access, 2022)

A Novel Approach to Spectral Estimation and Moving Average Model Parameter Estimation. - Christopher M. A. Bonenberger; Markus Schneider 005; Friedhelm Schwenker; Wolfgang Ertel (IEEE Signal Process. Lett., 2023)

A Note on Linear Time Series Prediction. - Christopher M. A. Bonenberger; Markus Schneider 005; Wolfgang Ertel; Friedhelm Schwenker (KI, 2024)

Multi-label semantic segmentation of magnetic resonance images of the prostate gland. - Mark Locherer; Christopher M. A. Bonenberger; Wolfgang Ertel; Boris Hadaschik; Kristina Stumm; Markus Schneider 005; Jan-Philipp Radtke (Discov. Artif. Intell., 2024)

Introduction to Artificial Intelligence, Third Edition - Wolfgang Ertel (Springer, 2025)