Oliver Niggemann

ORCID

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 96

Top Venues

University of Paderborn, Germany (PHD)

Education History

University of Paderborn, Germany

PHD

Publications

Tim Rensmeyer, Oliver Niggemann
On the Convergence of Locally Adaptive and Scalable Diffusion-Based Sampling Methods for Deep Bayesian Neural Network Posteriors. CoRR (2024)
Daniel Vranjes, Oliver Niggemann
Design Principles for Falsifiable, Replicable and Reproducible Empirical ML Research. CoRR (2024)
Alexander Windmann, Philipp Wittenberg, Marvin Schieseck, Oliver Niggemann
Artificial Intelligence in Industry 4.0: A Review of Integration Challenges for Industrial Systems. CoRR (2024)
Christoph Petroll, Sebastian Eilermann, Philipp Hoefer, Oliver Niggemann
A Generative Neural Network Approach for 3D Multi-Criteria Design Generation and Optimization of an Engine Mount for an Unmanned Air Vehicle. CoRR (2023)
Jonas Ehrhardt, René Heesch, Oliver Niggemann
Learning Process Steps as Dynamical Systems for a Sub-Symbolic Approach of Process Planning in Cyber-Physical Production Systems. ECAI Workshops (2) (2023)
Sebastian Eilermann, Leon Wehmeier, Oliver Niggemann, Andreas Deuter
KIAAA: An AI Assistant for Teaching Programming in the Field of Automation. INDIN (2023)
Lukas Moddemann, Henrik Sebastian Steude, Alexander Diedrich, Oliver Niggemann
Discret2Di - Deep Learning based Discretization for Model-based Diagnosis. CoRR (2023)
Philipp Rosenthal, Niels Demke, Frank Mantwill, Oliver Niggemann
Plan-Based Derivation of General Functional Structures in Product Design. CoRR (2023)
Henrik S. Steude, Lukas Moddemann, Alexander Diedrich, Jonas Ehrhardt, Oliver Niggemann
Diagnosis driven Anomaly Detection for CPS. CoRR (2023)
Maria Krantz, Niklas Widulle, Oliver Niggemann
Game Design Tools for ML Data Generation in CPS. ICARA (2023)
Tim Rensmeyer, Benjamin Craig, Denis Kramer, Oliver Niggemann
High Accuracy Uncertainty-Aware Interatomic Force Modeling with Equivariant Bayesian Neural Networks. CoRR (2023)
Leon Wehmeier, Sebastian Eilermann, Oliver Niggemann, Andreas Deuter
Task-fidelity Assessment for Programming Tasks Using Semantic Code Analysis. FIE (2023)
Willi Grossmann, Sebastian Eilermann, Tim Rensmeyer, Artur Liebert, Michael Hohmann, Christian Wittke, Oliver Niggemann
Position Paper on Materials Design - A Modern Approach. CoRR (2023)
René Heesch, Jonas Ehrhardt, Oliver Niggemann
Integrating Machine Learning into an SMT-Based Planning Approach for Production Planning in Cyber-Physical Production Systems. ECAI Workshops (2) (2023)
Daniel C. Hinck, Jonas J. Schöttler, Maria Krantz, Katharina-Sophie Isleif, Oliver Niggemann
A Cross-Frequency Protective Emblem: Protective Options for Medical Units and Wounded Soldiers in the Context of (fully) Autonomous Warfare. CoRR (2023)
Kaja Balzereit, Oliver Niggemann
AutoConf: New Algorithm for Reconfiguration of Cyber-Physical Production Systems. IEEE Trans. Ind. Informatics 19 (1) (2023)
Jan-Philipp Roche, Oliver Niggemann, Jens Friebe
Using Autoencoders and AutoDiff to Reconstruct Missing Variables in a Set of Time Series. CoRR (2023)
Maria Krantz, Oliver Niggemann
A Diagnosis Algorithms for a Rotary Indexing Machine. CoRR (2023)
Artur Liebert, Christian Wittke, Jonas Ehrhardt, Richard Jaufmann, Niklas Widulle, Sebastian Eilermann, Maria Krantz, Oliver Niggemann
Using FliPSi to Generate Data for Machine Learning Algorithms. ETFA (2023)
Jan Lukas Augustin, Oliver Niggemann
Graph Structural Residuals: A Learning Approach to Diagnosis. CoRR (2023)
Alexander Windmann, Henrik S. Steude, Oliver Niggemann
Robustness and Generalization Performance of Deep Learning Models on Cyber-Physical Systems: A Comparative Study. CoRR (2023)
Daniel Vranjes, Oliver Niggemann
Anomaly detection based on time series data from industrial automatic sewing machines. ICPS (2022)
Philipp Rosenthal, Oliver Niggemann
Problem examination for AI methods in product design. CoRR (2022)
Jonas Ehrhardt, Malte Ramonat, René Heesch, Kaja Balzereit, Alexander Diedrich, Oliver Niggemann
An AI benchmark for Diagnosis, Reconfiguration & Planning. ETFA (2022)
Aljosha Köcher, René Heesch, Niklas Widulle, Anna Nordhausen, Julian Putzke, Alexander Windmann, Oliver Niggemann
A Research Agenda for AI Planning in the Field of Flexible Production Systems. ICPS (2022)
Artur Liebert, Wolfgang Weber, Sebastian Reif, Bernd Zimmering, Oliver Niggemann
Anomaly Detection with Autoencoders as a Tool for Detecting Sensor Malfunctions. ICPS (2022)
Alexander Diedrich, Oliver Niggemann
On Residual-based Diagnosis of Physical Systems. Eng. Appl. Artif. Intell. 109 (2022)
Jonas J. Schöttler, Claus C. Otto, Willi Großmann, Oliver Niggemann
Opportunities of AI for maritime forces in an in- and outward-looking view. ICMCIS (2022)
Samim Ahmad Multaheb, Fabian Bauer, Peter Bretschneider, Oliver Niggemann
Learning Physically Meaningful Representations of Energy Systems with Variational Autoencoders. ETFA (2022)
Maria Krantz, Alexander Windmann, René Heesch, Lukas Moddemann, Oliver Niggemann
On a Uniform Causality Model for Industrial Automation. CoRR (2022)
Kaja Balzereit, Oliver Niggemann
Gradient-based Reconfiguration of Cyber-Physical Production Systems. ICPS (2021)
Kaja Balzereit, Oliver Niggemann
Reconfiguring Hybrid Systems Using SAT. CoRR (2021)
Oliver Niggemann, Alexander Diedrich, Christian Kühnert, Erik Pfannstiel, Joshua Schraven
A Generic DigitalTwin Model for Artificial Intelligence Applications. ICPS (2021)
Jan-Philipp Roche, Jens Friebe, Oliver Niggemann
Neural Network Modeling of Nonlinear Filters for EMC Simulation in Discrete Time Domain. IECON (2021)
Peng Li, Oliver Niggemann
A Nonconvex Archetypal Analysis for One-Class Classification Based Anomaly Detection in Cyber-Physical Systems. IEEE Trans. Ind. Informatics 17 (9) (2021)
Henrik S. Steude, Alexander Windmann, Oliver Niggemann
Learning Physical Concepts in Cyber-Physical Systems: A Case Study. CoRR (2021)
Samim Ahmad Multaheb, Bernd Zimmering, Oliver Niggemann
Expressing uncertainty in neural networks for production systems. Autom. 69 (3) (2021)
Bernd Zimmering, Oliver Niggemann, Constanze Hasterok, Erik Pfannstiel, Dario Ramming, Julius Pfrommer
Generating Artificial Sensor Data for the Comparison of Unsupervised Machine Learning Methods. Sensors 21 (7) (2021)
Aljosha Köcher, René Heesch, Niklas Widulle, Anna Nordhausen, Julian Putzke, Alexander Windmann, Sven Vagt, Oliver Niggemann
A Research Agenda for Artificial Intelligence in the Field of Flexible Production Systems. CoRR (2021)
Kaja Balzereit, Alexander Diedrich, Jonas Ginster, Stefan Windmann, Oliver Niggemann
An Ensemble of Benchmarks for the Evaluation of AI Methods for Fault Handling in CPPS. INDIN (2021)
Oliver Niggemann, Alexander Diedrich, Christian Kühnert, Erik Pfannstiel, Joshua Schraven
The DigitalTwin from an Artificial Intelligence Perspective. CoRR (2020)
Kaja Balzereit, Oliver Niggemann
Automated Reconfiguration of Cyber-Physical Production Systems using Satisfiability Modulo Theories. ICPS (2020)
Carlo Voß, Benedikt Eiteneuer, Oliver Niggemann
Incorporating Uncertainty into Unsupervised Machine Learning for Cyber-Physical Systems. ICPS (2020)
Kaja Balzereit, Marta Fullen, Oliver Niggemann
A Concept for the Automated Reconfiguration of Quadcopters. LWDA (2020)
Nemanja Hranisavljevic, Oliver Niggemann, Alexander Maier
A Novel Anomaly Detection Algorithm for Hybrid Production Systems based on Deep Learning and Timed Automata. CoRR (2020)
Nemanja Hranisavljevic, Alexander Maier, Oliver Niggemann
Discretization of hybrid CPPS data into timed automaton using restricted Boltzmann machines. Eng. Appl. Artif. Intell. 95 (2020)
Peng Li, Oliver Niggemann
Non-convex hull based anomaly detection in CPPS. Eng. Appl. Artif. Intell. 87 (2020)
Benedikt Eiteneuer, Oliver Niggemann
LSTM for Model-Based Anomaly Detection in Cyber-Physical Systems. CoRR (2020)
Benedikt Eiteneuer, Nemanja Hranisavljevic, Oliver Niggemann
Dimensionality Reduction and Anomaly Detection for CPPS Data using Autoencoder. CoRR (2020)
Alexander Diedrich, Alexander Maier, Oliver Niggemann
Model-Based Diagnosis of Hybrid Systems Using Satisfiability Modulo Theory. AAAI (2019)
Peng Li, Oliver Niggemann, Barbara Hammer
On the Identification of Decision Boundaries for Anomaly Detection in CPPS. ICIT (2019)
Andreas Bunte, Benno Stein, Oliver Niggemann
Model-Based Diagnosis for Cyber-Physical Production Systems Based on Machine Learning and Residual-Based Diagnosis Models. AAAI (2019)
Andreas Bunte, Andreas Fischbach, Jan Strohschein, Thomas Bartz-Beielstein, Heide Faeskorn-Woyke, Oliver Niggemann
Evaluation of Cognitive Architectures for Cyber-Physical Production Systems. CoRR (2019)
Andreas Bunte, Andreas Fischbach, Jan Strohschein, Thomas Bartz-Beielstein, Heide Faeskorn-Woyke, Oliver Niggemann
Evaluation of Cognitive Architectures for Cyber-Physical Production Systems. ETFA (2019)
Benedikt Eiteneuer, Nemanja Hranisavljevic, Oliver Niggemann
Dimensionality Reduction and Anomaly Detection for CPPS Data using Autoencoder. ICIT (2019)
Fan Zhang, Kevin Pinkal, Patrick Wefing, Florian Conradi, Jan Schneider, Oliver Niggemann
Quality Control of Continuous Wort Production through Production Data Analysis in Latent Space. ICIT (2019)
Andreas Bunte, Paul Wunderlich, Natalia Moriz, Peng Li, André Mankowski, Antje Rogalla, Oliver Niggemann
Why Symbolic AI is a Key Technology for Self-Adaption in the Context of CPPS. ETFA (2019)
Stefan Windmann, Kaja Balzereit, Oliver Niggemann
Model-based routing in flexible manufacturing systems. Autom. 67 (2) (2019)
Kaja Balzereit, Alexander Maier, Björn Barig, Tino Hutschenreuther, Oliver Niggemann
Data-driven Identification of Causal Dependencies in Cyber-Physical Production Systems. ICAART (2) (2019)
Andreas Bunte, Peng Li, Oliver Niggemann
Mapping Data Sets to Concepts using Machine Learning and a Knowledge based Approach. ICAART (2) (2018)
Peng Li, Oliver Niggemann
A Data Provenance based Architecture to Enhance the Reliability of Data Analysis for Industry 4.0. ETFA (2018)
Paul Wunderlich, Oliver Niggemann
Inference Methods for Detecting the Root Cause of Alarm Floods in Causal Models. MMAR (2018)
Alexander Diedrich, Oliver Niggemann
Diagnosing Hybrid Cyber-Physical Systems using State-Space Models and Satisfiability Modulo Theory. DX (2018)
Paul Wunderlich, Oliver Niggemann
Challenges in Learning Causal Models of Alarms in Industrial Plants. INDIN (2018)
Stefan Windmann, Oliver Niggemann
Information Retrieval in Industrial Production Environments. ETFA (2018)
Felix Specht, Jens Otto, Oliver Niggemann, Barbara Hammer
Generation of Adversarial Examples to Prevent Misclassification of Deep Neural Network based Condition Monitoring Systems for Cyber-Physical Production Systems. INDIN (2018)
Antje Rogalla, Alexander Fay, Oliver Niggemann
Improved Domain Modeling for Realistic Automated Planning and Scheduling in Discrete Manufacturing. ETFA (2018)
Jens Otto, Birgit Vogel-Heuser, Oliver Niggemann
Automatic Parameter Estimation for Reusable Software Components of Modular and Reconfigurable Cyber-Physical Production Systems in the Domain of Discrete Manufacturing. IEEE Trans. Ind. Informatics 14 (1) (2018)
Benedikt Eiteneuer, Oliver Niggemann
LSTM for Model-based Anomaly Detection in Cyber-Physical Systems. DX (2018)
Dorota Lang, Paul Wunderlich, Mario Heinz, Lukasz Wisniewski, Jürgen Jasperneite, Oliver Niggemann, Carsten Röcker
Assistance system to support troubleshooting of complex industrial systems. WFCS (2018)
Stefan Windmann, Oliver Niggemann, Heiko Stichweh
Computation of energy efficient driving speeds in conveying systems. Autom. 66 (4) (2018)
Jens Otto, Birgit Vogel-Heuser, Oliver Niggemann
Online parameter estimation for cyber-physical production systems based on mixed integer nonlinear programming, process mining and black-box optimization techniques. Autom. 66 (4) (2018)
Peng Li, Oliver Niggemann, Barbara Hammer
A Geometric Approach to Clustering Based Anomaly Detection for Industrial Applications. IECON (2018)
Andreas Bunte, Oliver Niggemann, Benno Stein
Integrating OWL Ontologies for Smart Services into AutomationML and OPC UA. ETFA (2018)
Jürgen Beyerer, Oliver Niggemann
Machine Learning in Automation. Autom. 66 (4) (2018)
Marta Fullen, Peter Schüller, Oliver Niggemann
Defining and validating similarity measures for industrial alarm flood analysis. INDIN (2017)
Katharina Giese, Jens Eickmeyer, Oliver Niggemann
Differential Evolution in Production Process Optimization of Cyber Physical Systems. ML4CPS (2017)
Christian Diedrich, Alexander Belyaev, Tizian Schroder, Jens Vialkowitsch, Alexander Willmann, Thomas Usländer, Heiko Koziolek, Jörg Wende, Florian Pethig, Oliver Niggemann
Semantic interoperability for asset communication within smart factories. ETFA (2017)
Stefan Windmann, Oliver Niggemann
A self-configurable fault detection system for Industrial Ethernet networks. Autom. 65 (6) (2017)
Christian Diedrich, Alexander Bieliaiev, Jürgen Bock, Andreas Gössling, Rolf Hänisch, Andreas Kraft, Florian Pethig, Oliver Niggemann, Johannes Reich, Friedrich Vollmar, Jörg Wende
Interaktionsmodell für Industrie 4.0 Komponenten. Autom. 65 (1) (2017)
Alexander von Birgelen, Oliver Niggemann
Using self-organizing maps to learn hybrid timed automata in absence of discrete events. ETFA (2017)
Florian Pethig, Oliver Niggemann, Armin Walter
Towards Industrie 4.0 compliant configuration of condition monitoring services. INDIN (2017)
Sebastian Büttner, Paul Wunderlich, Mario Heinz, Oliver Niggemann, Carsten Röcker
Managing Complexity: Towards Intelligent Error-Handling Assistance Trough Interactive Alarm Flood Reduction. CD-MAKE (2017)
Stefan Windmann, Oliver Niggemann, Holger Ruwe, Friedrich Becker
A novel self-configuration method for RFID systems in industrial production environments. ETFA (2017)
Marta Fullen, Peter Schüller, Oliver Niggemann
Semi-supervised Case-based Reasoning Approach to Alarm Flood Analysis. ML4CPS (2017)
Paul Wunderlich, Oliver Niggemann
Structure learning methods for Bayesian networks to reduce alarm floods by identifying the root cause. ETFA (2017)
Stefan Windmann, Dorota Lang, Oliver Niggemann
Learning parallel automata of PLCs. ETFA (2017)
Andreas Bunte, Peng Li, Oliver Niggemann
Learned Abstraction: Knowledge Based Concept Learning for Cyber Physical Systems. ML4CPS (2017)
Kevin Pinkal, Oliver Niggemann
A new approach to model-based test case generation for industrial automation systems. INDIN (2017)
Antje Rogalla, Oliver Niggemann
Automated process planning for cyber-physical production systems. ETFA (2017)
Stefan Windmann, Oliver Niggemann
A GPU-based method for robust and efficient fault detection in industrial automation processes. INDIN (2016)
Jens Otto, Birgit Vogel-Heuser, Oliver Niggemann
Optimizing modular and reconfigurable cyber-physical production systems by determining parameters automatically. INDIN (2016)
Peng Li, Oliver Niggemann
Improving clustering based anomaly detection with concave hull: An application in fault diagnosis of wind turbines. INDIN (2016)
Andreas Bunte, Alexander Diedrich, Oliver Niggemann
Integrating semantics for diagnosis of manufacturing systems. ETFA (2016)
Alexander Diedrich, Björn Böttcher, Oliver Niggemann
Exposing Design Mistakes During Requirements Engineering by Solving Constraint Satisfaction Problems to Obtain Minimum Correction Subsets. ICAART (2) (2016)
Steffen Henning, Jens Otto, Oliver Niggemann
Pattern-based control-code synthesis. INDIN (2016)
Stefan Windmann, Oliver Niggemann
Automatic model separation and application for diagnosis in industrial automation systems. ICIT (2015)
Ganesh Man Shrestha, Oliver Niggemann
Hybrid approach combining Bayesian network and rule-based systems for resource optimization in industrial cleaning processes. ETFA (2015)
Stefan Windmann, Oliver Niggemann
MapReduce algorithms for efficient generation of CPS models from large historical data sets. ETFA (2015)
Oliver Niggemann, Volker Lohweg
On the Diagnosis of Cyber-Physical Production Systems. AAAI (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Oliver Niggemann