Oliver Niggemann

225 papers A* 5A 5B 2C 83Misc 2Journal 60Unranked 58

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Data-Driven Temperature Modeling of Machine Tools by Neural Networks: A Benchmark. IEEE Access Cecília Coelho, Michael Hohmann, Darío Fernández, Lars Penter, Steffen Ihlenfeldt, Oliver Niggemann
2026	—	`conf`	MAWIFlow Benchmark: Realistic Flow-Based Evaluation for Network Intrusion Detection. ICISSP (1) Joshua Schraven, Alexander Windmann, Oliver Niggemann
2026	J	`jnl`	On validating propositional logic system descriptions for fault diagnosis. Eng. Appl. Artif. Intell. Alexander Diedrich, Lukas Moddemann, Oliver Niggemann
2026	J	`jnl`	WeirNet: A Large-Scale 3D CFD Benchmark for Geometric Surrogate Modeling of Piano Key Weirs. CoRR Lisa Lüddecke, Michael Hohmann, Sebastian Eilermann, Jan Tillmann-Mumm, Pezhman Pourabdollah, Mario Oertel, Oliver Niggemann
2025	J	`jnl`	A Continuous-Time Consistency Model for 3D Point Cloud Generation. CoRR Sebastian Eilermann, René Heesch, Oliver Niggemann
2025	J	`jnl`	A Fluid Mixing Benchmark for Anomaly Detection in CPS With Real and Simulated Data. IEEE Access Malte Ramonat, Bernd Zimmering, Silke Merkelbach, Felix Gehlhoff, Oliver Niggemann, Alexander Fay
2025	J	`jnl`	An AI approach for predicting the active surface of deep drawing tools in try-out. Autom. Michael Hohmann, Adili Yiming, Lars Penter, Steffen Ihlenfeldt, Oliver Niggemann
2025	J	`jnl`	An Open Dataset for Temperature Modelling in Machine Tools. CoRR Cecília Coelho, Darío Fernández, Michael Hohmann, Lars Penter, Steffen Ihlenfeldt, Oliver Niggemann
2025	C	`conf`	Are Diagnostic Concepts Within the Reach of LLMs? DX Anna Sztyber-Betley, Elodie Chanthery, Louise Travé-Massuyès, Silke Merkelbach, Karol Kukla, Maxence Glotin, Alexander Diedrich, Oliver Niggemann
2025	—	`conf`	Breaking Free: Decoupling Forced Systems with Laplace Neural Networks. ECML/PKDD (7) Bernd Zimmering, Cecília Coelho, Vaibhav Gupta, Maria Maleshkova, Oliver Niggemann
2025	J	`jnl`	Bridging Engineering and AI Planning through Model-Based Knowledge Transformation for the Validation of Automated Production System Variants. CoRR Hamied Nabizada, Lasse Beers, Alain Chahine, Felix Gehlhoff, Oliver Niggemann, Alexander Fay
2025	C	`conf`	CPSWatch: Lightweight Ontology for System Description and Diagnosis. ETFA Björn Ludwig, Maria Maleshkova, Oliver Niggemann
2025	C	`conf`	Combining Physical Properties with Probabilistic Methods in Neural Networks for Robust Forecasting in Electric Grids. ETFA Samim Ahmad Multaheb, Oliver Niggemann
2025	C	`conf`	Creating Virtual Sensors Using Neural Networks. ETFA Björn Ludwig, Jonas Ehrhardt, Oliver Niggemann
2025	J	`jnl`	Data Driven Diagnosis for Large Cyber-Physical-Systems with Minimal Prior Information. CoRR Henrik Sebastian Steude, Alexander Diedrich, Ingo Pill, Lukas Moddemann, Daniel Vranjes, Oliver Niggemann
2025	J	`jnl`	Data-Driven Temperature Modelling of Machine Tools by Neural Networks: A Benchmark. CoRR Cecília Coelho, Michael Hohmann, Darío Fernández, Lars Penter, Steffen Ihlenfeldt, Oliver Niggemann
2025	—	`conf`	Evaluating Large Language Models for Real-World Engineering Tasks. AI (1) René Heesch, Sebastian Eilermann, Alexander Windmann, Alexander Diedrich, Oliver Niggemann
2025	J	`jnl`	Evaluating Large Language Models for Real-World Engineering Tasks. CoRR René Heesch, Sebastian Eilermann, Alexander Windmann, Alexander Diedrich, Philipp Rosenthal, Oliver Niggemann
2025	J	`jnl`	Industrial AI Robustness Card: Evaluating and Monitoring Time Series Models. CoRR Alexander Windmann, Benedikt Stratmann, Mariya Lyashenko, Oliver Niggemann
2025	J	`jnl`	Laplace-Net: Learning Dynamical Systems with External Forcing. CoRR Bernd Zimmering, Cecília Coelho, Vaibhav Gupta, Maria Maleshkova, Oliver Niggemann
2025	—	`conf`	Learning Sound and Complete Preconditions in Complex Real-World Domains. CAIPI@ECAI René Heesch, Björn Ludwig, Jonas Ehrhardt, Alexander Diedrich, Oliver Niggemann
2025	J	`jnl`	MAWIFlow Benchmark: Realistic Flow-Based Evaluation for Network Intrusion Detection. CoRR Joshua Schraven, Alexander Windmann, Oliver Niggemann
2025	J	`jnl`	Modeling Cyber-Physical Systems for Fault Diagnosis. IEEE Trans. Syst. Man Cybern. Syst. Alexander Diedrich, Mattias Krysander, René Heesch, Oliver Niggemann
2025	A	`conf`	On the Convergence of Locally Adaptive and Scalable Diffusion-Based Sampling Methods for Deep Bayesian Neural Network Posteriors. AISTATS Tim Rensmeyer, Oliver Niggemann
2025	C	`conf`	On the Impact of Instance- and Type-Level Modeling on Neural Network-Based Anomaly Detection for Cyber-Physical Systems. ETFA Daniel Vranjes, Oliver Niggemann
2025	C	`conf`	On the Impact of Pretraining with Simulated Data on Anomaly Detection in CPS - A Case Study. ETFA Richard Jaufmann, Niklas Widulle, Jonas Ehrhardt, Daniel Vranjes, Oliver Niggemann
2025	J	`jnl`	On-the-Fly Fine-Tuning of Foundational Neural Network Potentials: A Bayesian Neural Network Approach. CoRR Tim Rensmeyer, Denis Kramer, Oliver Niggemann
2025	—	`ed.`	Proceedings of the 2nd ECAI Workshop on "Machine Learning Meets Differential Equations: From Theory to Applications", 26 October 2025, Bologna, Italy ML-DE Cecília Coelho, Bernd Zimmering, M. Fernanda P. Costa, Luís L. Ferrás, Oliver Niggemann
2025	—	`ed.`	Proceedings of the ECAI Workshop on AI-based Planning for Complex Real-World Applications (CAIPI 2025) co-located with 28th European Conference on Artificial Intelligence (ECAI 2025), Bologna, Italy, October 25, 2025. CAIPI@ECAI Oliver Niggemann, Gautam Biswas, Andrea Micheli, René Heesch, Alexander Diedrich, Jonas Ehrhardt, Niklas Widulle
2025	C	`conf`	Quantifying Robustness: A Benchmarking Framework for Deep Learning Forecasting in Cyber-Physical Systems. ETFA Alexander Windmann, Henrik S. Steude, Daniel Boschmann, Oliver Niggemann
2025	J	`jnl`	Quantifying Robustness: A Benchmarking Framework for Deep Learning Forecasting in Cyber-Physical Systems. CoRR Alexander Windmann, Henrik Sebastian Steude, Daniel Boschmann, Oliver Niggemann
2025	C	`conf`	The HAI-CPPS Benchmark: Evaluating AI Capabilities across Hybrid Data Spaces. ETFA Lukas Moddemann, Jonas Ehrhardt, Alexander Diedrich, Oliver Niggemann
2025	J	`jnl`	Using Autoencoders and Automatic Differentiation to Reconstruct Missing Variables in a Set of Time Series. SN Comput. Sci. Jan-Philipp Roche, Oliver Niggemann, Jens Friebe
2025	—	`conf`	Using Gradient-based Optimization for Planning with Deep Q-Networks in Parametrized Action Spaces. CAIPI@ECAI Jonas Ehrhardt, Johannes Schmidt, René Heesch, Oliver Niggemann
2024	A	`conf`	A Lazy Approach to Neural Numerical Planning with Control Parameters. ECAI René Heesch, Alessandro Cimatti, Jonas Ehrhardt, Alexander Diedrich, Oliver Niggemann
2024	—	`conf`	A Neural Ordinary Differential Equations Approach for 2D Flow Properties Analysis of Hydraulic Structures. ML-DE Sebastian Eilermann, Lisa Lüddecke, Michael Hohmann, Bernd Zimmering, Mario Oertel, Oliver Niggemann
2024	J	`jnl`	AAAI Workshop on AI Planning for Cyber-Physical Systems - CAIPI24. CoRR Oliver Niggemann, Gautam Biswas, Alexander Diedrich, Jonas Ehrhardt, René Heesch, Niklas Widulle
2024	C	`conf`	Artificial Intelligence in Industry 4.0: A Review of Integration Challenges for Industrial Systems. INDIN Alexander Windmann, Philipp Wittenberg, Marvin Schieseck, Oliver Niggemann
2024	J	`jnl`	Artificial Intelligence in Industry 4.0: A Review of Integration Challenges for Industrial Systems. CoRR Alexander Windmann, Philipp Wittenberg, Marvin Schieseck, Oliver Niggemann
2024	A	`conf`	Automated Impact Echo Spectrum Anomaly Detection using U-Net Autoencoder. ECAI Artur Liebert, Fabian Dethof, Sylvia Keßler, Oliver Niggemann
2024	C	`conf`	Automation of PGAA Spectra Analysis with Deep Learning. INDIN Daniel Boschmann, Christian Stieghorst, David Knezevic, Loubna Kadri, Oliver Niggemann
2024	C	`conf`	Design Automation: A Conditional VAE Approach to 3D Object Generation Under Conditions. ETFA Michael Hohmann, Sebastian Eilermann, Willi Großmann, Oliver Niggemann
2024	J	`jnl`	Design Principles for Falsifiable, Replicable and Reproducible Empirical ML Research. CoRR Daniel Vranjes, Oliver Niggemann
2024	C	`conf`	Design Principles for Falsifiable, Replicable and Reproducible Empirical Machine Learning Research. DX Daniel Vranjes, Jonas Ehrhardt, René Heesch, Lukas Moddemann, Henrik Sebastian Steude, Oliver Niggemann
2024	C	`conf`	Discretization of CPS Time Series with Neural Networks. ETFA Phillip Johann Overlöper, Lukas Moddemann, Nemanja Hranisavljevic, Alexander Windmann, Oliver Niggemann
2024	—	`conf`	Enhancing Cyber-Physical System Analysis with Structure-Aware Modular Neural Networks. ICPS Daniel Vranjes, Oliver Niggemann
2024	C	`conf`	Enhancing Nonlinear Electrical Circuit Modeling with Prior Knowledge-Infused Neural ODEs. ETFA Bernd Zimmering, Jan-Philipp Roche, Oliver Niggemann
2024	C	`conf`	Extracting Knowledge using Machine Learning for Anomaly Detection and Root-Cause Diagnosis. ETFA Lukas Moddemann, Henrik Sebastian Steude, Alexander Diedrich, Ingo Pill, Oliver Niggemann
2024	C	`conf`	Generating Assembly Instructions Using Reinforcement Learning in Combination with Large Language Models. INDIN Niklas Widulle, Frédéric Meyer, Oliver Niggemann
2024	C	`conf`	Inferring Sensor Placement Using Critical Pairs and Satisfiability Modulo Theory. DX Alexander Diedrich, René Heesch, Marco Bozzano, Björn Ludwig, Alessandro Cimatti, Oliver Niggemann
2024	J	`jnl`	On the Convergence of Locally Adaptive and Scalable Diffusion-Based Sampling Methods for Deep Bayesian Neural Network Posteriors. CoRR Tim Rensmeyer, Oliver Niggemann
2024	—	`conf`	Optimising Neural Fractional Differential Equations for Performance and Efficiency. ML-DE Bernd Zimmering, Cecília Coelho, Oliver Niggemann
2024	—	`conf`	Plan-Based Derivation of General Functional Structures in Product Design. ICPS Philipp Rosenthal, Niels Demke, Frank Mantwill, Oliver Niggemann
2024	C	`conf`	Potentials of Large Language Models for Generating Assembly Instructions. ETFA Frédéric Meyer, Lennart Freitag, Sven Hinrichsen, Oliver Niggemann
2024	—	`ed.`	Proceedings of the 1st ECAI Workshop on "Machine Learning Meets Differential Equations: From Theory to Applications", 20 October 2024, Santiago de Compostela, Spain ML-DE Cecília Coelho, Bernd Zimmering, M. Fernanda P. Costa, Luís L. Ferrás, Oliver Niggemann
2024	J	`jnl`	Solving industrial fault diagnosis problems with quantum computers. Quantum Mach. Intell. Alexander Diedrich, Stefan Windmann, Oliver Niggemann
2024	C	`conf`	Summary of "A Lazy Approach to Neural Numerical Planning with Control Parameters" (Extended Abstract). DX René Heesch, Alessandro Cimatti, Jonas Ehrhardt, Alexander Diedrich, Oliver Niggemann
2024	C	`conf`	Using Modular Neural Networks for Anomaly Detection in Cyber-Physical Systems. ETFA Jonas Ehrhardt, Phillip Johann Overlöper, Daniel Vranjes, Henrik S. Steude, Alexander Diedrich, Oliver Niggemann
2024	C	`conf`	Using Multi-Modal LLMs to Create Models for Fault Diagnosis (Short Paper). DX Silke Merkelbach, Alexander Diedrich, Anna Sztyber-Betley, Louise Travé-Massuyès, Elodie Chanthery, Oliver Niggemann, Roman Dumitrescu
2024	C	`conf`	Using Ontologies to Create Logical System Descriptions for Fault Diagnosis. ETFA Björn Ludwig, Alexander Diedrich, Oliver Niggemann
2023	J	`jnl`	A Cross-Frequency Protective Emblem: Protective Options for Medical Units and Wounded Soldiers in the Context of (fully) Autonomous Warfare. CoRR Daniel C. Hinck, Jonas J. Schöttler, Maria Krantz, Katharina-Sophie Isleif, Oliver Niggemann
2023	J	`jnl`	A Diagnosis Algorithms for a Rotary Indexing Machine. CoRR Maria Krantz, Oliver Niggemann
2023	J	`jnl`	A Generative Neural Network Approach for 3D Multi-Criteria Design Generation and Optimization of an Engine Mount for an Unmanned Air Vehicle. CoRR Christoph Petroll, Sebastian Eilermann, Philipp Hoefer, Oliver Niggemann
2023	J	`jnl`	AutoConf: New Algorithm for Reconfiguration of Cyber-Physical Production Systems. IEEE Trans. Ind. Informatics Kaja Balzereit, Oliver Niggemann
2023	J	`jnl`	Diagnosis driven Anomaly Detection for CPS. CoRR Henrik S. Steude, Lukas Moddemann, Alexander Diedrich, Jonas Ehrhardt, Oliver Niggemann
2023	J	`jnl`	Discret2Di - Deep Learning based Discretization for Model-based Diagnosis. CoRR Lukas Moddemann, Henrik Sebastian Steude, Alexander Diedrich, Oliver Niggemann
2023	—	`conf`	Game Design Tools for ML Data Generation in CPS. ICARA Maria Krantz, Niklas Widulle, Oliver Niggemann
2023	J	`jnl`	Graph Structural Residuals: A Learning Approach to Diagnosis. CoRR Jan Lukas Augustin, Oliver Niggemann
2023	J	`jnl`	High Accuracy Uncertainty-Aware Interatomic Force Modeling with Equivariant Bayesian Neural Networks. CoRR Tim Rensmeyer, Benjamin Craig, Denis Kramer, Oliver Niggemann
2023	—	`conf`	Integrating Machine Learning into an SMT-Based Planning Approach for Production Planning in Cyber-Physical Production Systems. ECAI Workshops (2) René Heesch, Jonas Ehrhardt, Oliver Niggemann
2023	C	`conf`	KIAAA: An AI Assistant for Teaching Programming in the Field of Automation. INDIN Sebastian Eilermann, Leon Wehmeier, Oliver Niggemann, Andreas Deuter
2023	—	`conf`	Learning Process Steps as Dynamical Systems for a Sub-Symbolic Approach of Process Planning in Cyber-Physical Production Systems. ECAI Workshops (2) Jonas Ehrhardt, René Heesch, Oliver Niggemann
2023	J	`jnl`	Plan-Based Derivation of General Functional Structures in Product Design. CoRR Philipp Rosenthal, Niels Demke, Frank Mantwill, Oliver Niggemann
2023	J	`jnl`	Position Paper on Materials Design - A Modern Approach. CoRR Willi Großmann, Sebastian Eilermann, Tim Rensmeyer, Artur Liebert, Michael Hohmann, Christian Wittke, Oliver Niggemann
2023	J	`jnl`	Robustness and Generalization Performance of Deep Learning Models on Cyber-Physical Systems: A Comparative Study. CoRR Alexander Windmann, Henrik S. Steude, Oliver Niggemann
2023	C	`conf`	Task-fidelity Assessment for Programming Tasks Using Semantic Code Analysis. FIE Leon Wehmeier, Sebastian Eilermann, Oliver Niggemann, Andreas Deuter
2023	J	`jnl`	Using Autoencoders and AutoDiff to Reconstruct Missing Variables in a Set of Time Series. CoRR Jan-Philipp Roche, Oliver Niggemann, Jens Friebe
2023	C	`conf`	Using FliPSi to Generate Data for Machine Learning Algorithms. ETFA Artur Liebert, Christian Wittke, Jonas Ehrhardt, Richard Jaufmann, Niklas Widulle, Sebastian Eilermann, Maria Krantz, Oliver Niggemann
2022	—	`conf`	A Research Agenda for AI Planning in the Field of Flexible Production Systems. ICPS Aljosha Köcher, René Heesch, Niklas Widulle, Anna Nordhausen, Julian Putzke, Alexander Windmann, Oliver Niggemann
2022	C	`conf`	An AI benchmark for Diagnosis, Reconfiguration & Planning. ETFA Jonas Ehrhardt, Malte Ramonat, René Heesch, Kaja Balzereit, Alexander Diedrich, Oliver Niggemann
2022	—	`conf`	Anomaly Detection with Autoencoders as a Tool for Detecting Sensor Malfunctions. ICPS Artur Liebert, Wolfgang Weber, Sebastian Reif, Bernd Zimmering, Oliver Niggemann
2022	—	`conf`	Anomaly detection based on time series data from industrial automatic sewing machines. ICPS Daniel Vranjes, Oliver Niggemann
2022	C	`conf`	Learning Physically Meaningful Representations of Energy Systems with Variational Autoencoders. ETFA Samim Ahmad Multaheb, Fabian Bauer, Peter Bretschneider, Oliver Niggemann
2022	—	`ch.`	Machine Learning for Cyber-Physical Systems. Digital Transformation Oliver Niggemann, Bernd Zimmering, Henrik S. Steude, Jan Lukas Augustin, Alexander Windmann, Samim Ahmad Multaheb
2022	J	`jnl`	On Residual-based Diagnosis of Physical Systems. Eng. Appl. Artif. Intell. Alexander Diedrich, Oliver Niggemann
2022	J	`jnl`	On a Uniform Causality Model for Industrial Automation. CoRR Maria Krantz, Alexander Windmann, René Heesch, Lukas Moddemann, Oliver Niggemann
2022	—	`conf`	Opportunities of AI for maritime forces in an in- and outward-looking view. ICMCIS Jonas J. Schöttler, Claus C. Otto, Willi Großmann, Oliver Niggemann
2022	J	`jnl`	Problem examination for AI methods in product design. CoRR Philipp Rosenthal, Oliver Niggemann
2021	—	`conf`	A Generic DigitalTwin Model for Artificial Intelligence Applications. ICPS Oliver Niggemann, Alexander Diedrich, Christian Kühnert, Erik Pfannstiel, Joshua Schraven
2021	J	`jnl`	A Nonconvex Archetypal Analysis for One-Class Classification Based Anomaly Detection in Cyber-Physical Systems. IEEE Trans. Ind. Informatics Peng Li, Oliver Niggemann
2021	J	`jnl`	A Research Agenda for Artificial Intelligence in the Field of Flexible Production Systems. CoRR Aljosha Köcher, René Heesch, Niklas Widulle, Anna Nordhausen, Julian Putzke, Alexander Windmann, Sven Vagt, Oliver Niggemann
2021	C	`conf`	An Ensemble of Benchmarks for the Evaluation of AI Methods for Fault Handling in CPPS. INDIN Kaja Balzereit, Alexander Diedrich, Jonas Ginster, Stefan Windmann, Oliver Niggemann
2021	J	`jnl`	Expressing uncertainty in neural networks for production systems. Autom. Samim Ahmad Multaheb, Bernd Zimmering, Oliver Niggemann
2021	J	`jnl`	Generating Artificial Sensor Data for the Comparison of Unsupervised Machine Learning Methods. Sensors Bernd Zimmering, Oliver Niggemann, Constanze Hasterok, Erik Pfannstiel, Dario Ramming, Julius Pfrommer
2021	—	`conf`	Gradient-based Reconfiguration of Cyber-Physical Production Systems. ICPS Kaja Balzereit, Oliver Niggemann
2021	J	`jnl`	Learning Physical Concepts in Cyber-Physical Systems: A Case Study. CoRR Henrik S. Steude, Alexander Windmann, Oliver Niggemann
2021	C	`conf`	Neural Network Modeling of Nonlinear Filters for EMC Simulation in Discrete Time Domain. IECON Jan-Philipp Roche, Jens Friebe, Oliver Niggemann
2021	J	`jnl`	Reconfiguring Hybrid Systems Using SAT. CoRR Kaja Balzereit, Oliver Niggemann
2020	—	`conf`	A Concept for the Automated Reconfiguration of Quadcopters. LWDA Kaja Balzereit, Marta Fullen, Oliver Niggemann
2020	J	`jnl`	A Novel Anomaly Detection Algorithm for Hybrid Production Systems based on Deep Learning and Timed Automata. CoRR Nemanja Hranisavljevic, Oliver Niggemann, Alexander Maier
2020	—	`conf`	Automated Reconfiguration of Cyber-Physical Production Systems using Satisfiability Modulo Theories. ICPS Kaja Balzereit, Oliver Niggemann
2020	J	`jnl`	Dimensionality Reduction and Anomaly Detection for CPPS Data using Autoencoder. CoRR Benedikt Eiteneuer, Nemanja Hranisavljevic, Oliver Niggemann
2020	J	`jnl`	Discretization of hybrid CPPS data into timed automaton using restricted Boltzmann machines. Eng. Appl. Artif. Intell. Nemanja Hranisavljevic, Alexander Maier, Oliver Niggemann
2020	—	`conf`	Incorporating Uncertainty into Unsupervised Machine Learning for Cyber-Physical Systems. ICPS Carlo Voß, Benedikt Eiteneuer, Oliver Niggemann
2020	J	`jnl`	LSTM for Model-Based Anomaly Detection in Cyber-Physical Systems. CoRR Benedikt Eiteneuer, Oliver Niggemann
2020	—	`ed.`	Machine Learning for Cyber Physical Systems, Selected papers from the International Conference ML4CPS 2017, Lemgo, Germany, September 25-26, 2017. ML4CPS Jürgen Beyerer, Alexander Maier, Oliver Niggemann
2020	J	`jnl`	Non-convex hull based anomaly detection in CPPS. Eng. Appl. Artif. Intell. Peng Li, Oliver Niggemann
2020	J	`jnl`	The DigitalTwin from an Artificial Intelligence Perspective. CoRR Oliver Niggemann, Alexander Diedrich, Christian Kühnert, Erik Pfannstiel, Joshua Schraven
2019	—	`conf`	Data-driven Identification of Causal Dependencies in Cyber-Physical Production Systems. ICAART (2) Kaja Balzereit, Alexander Maier, Björn Barig, Tino Hutschenreuther, Oliver Niggemann
2019	—	`conf`	Dimensionality Reduction and Anomaly Detection for CPPS Data using Autoencoder. ICIT Benedikt Eiteneuer, Nemanja Hranisavljevic, Oliver Niggemann
2019	C	`conf`	Evaluation of Cognitive Architectures for Cyber-Physical Production Systems. ETFA Andreas Bunte, Andreas Fischbach, Jan Strohschein, Thomas Bartz-Beielstein, Heide Faeskorn-Woyke, Oliver Niggemann
2019	J	`jnl`	Evaluation of Cognitive Architectures for Cyber-Physical Production Systems. CoRR Andreas Bunte, Andreas Fischbach, Jan Strohschein, Thomas Bartz-Beielstein, Heide Faeskorn-Woyke, Oliver Niggemann
2019	—	`ed.`	Machine Learning for Cyber Physical Systems, Selected papers from the International Conference ML4CPS 2018, Karlsruhe, Germany, October 23-24, 2018. ML4CPS Jürgen Beyerer, Christian Kühnert, Oliver Niggemann
2019	A*	`conf`	Model-Based Diagnosis for Cyber-Physical Production Systems Based on Machine Learning and Residual-Based Diagnosis Models. AAAI Andreas Bunte, Benno Stein, Oliver Niggemann
2019	A*	`conf`	Model-Based Diagnosis of Hybrid Systems Using Satisfiability Modulo Theory. AAAI Alexander Diedrich, Alexander Maier, Oliver Niggemann
2019	J	`jnl`	Model-based routing in flexible manufacturing systems. Autom. Stefan Windmann, Kaja Balzereit, Oliver Niggemann
2019	—	`conf`	On the Identification of Decision Boundaries for Anomaly Detection in CPPS. ICIT Peng Li, Oliver Niggemann, Barbara Hammer
2019	—	`conf`	Quality Control of Continuous Wort Production through Production Data Analysis in Latent Space. ICIT Fan Zhang, Kevin Pinkal, Patrick Wefing, Florian Conradi, Jan Schneider, Oliver Niggemann
2019	C	`conf`	Why Symbolic AI is a Key Technology for Self-Adaption in the Context of CPPS. ETFA Andreas Bunte, Paul Wunderlich, Natalia Moriz, Peng Li, André Mankowski, Antje Rogalla, Oliver Niggemann
2018	C	`conf`	A Data Provenance based Architecture to Enhance the Reliability of Data Analysis for Industry 4.0. ETFA Peng Li, Oliver Niggemann
2018	C	`conf`	A Geometric Approach to Clustering Based Anomaly Detection for Industrial Applications. IECON Peng Li, Oliver Niggemann, Barbara Hammer
2018	C	`conf`	Assistance system to support troubleshooting of complex industrial systems. WFCS Dorota Lang, Paul Wunderlich, Mario Heinz, Lukasz Wisniewski, Jürgen Jasperneite, Oliver Niggemann, Carsten Röcker
2018	J	`jnl`	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 Jens Otto, Birgit Vogel-Heuser, Oliver Niggemann
2018	C	`conf`	Challenges in Learning Causal Models of Alarms in Industrial Plants. INDIN Paul Wunderlich, Oliver Niggemann
2018	J	`jnl`	Computation of energy efficient driving speeds in conveying systems. Autom. Stefan Windmann, Oliver Niggemann, Heiko Stichweh
2018	—	`conf`	Diagnosing Hybrid Cyber-Physical Systems using State-Space Models and Satisfiability Modulo Theory. DX Alexander Diedrich, Oliver Niggemann
2018	C	`conf`	Generation of Adversarial Examples to Prevent Misclassification of Deep Neural Network based Condition Monitoring Systems for Cyber-Physical Production Systems. INDIN Felix Specht, Jens Otto, Oliver Niggemann, Barbara Hammer
2018	C	`conf`	Improved Domain Modeling for Realistic Automated Planning and Scheduling in Discrete Manufacturing. ETFA Antje Rogalla, Alexander Fay, Oliver Niggemann
2018	Misc	`conf`	Inference Methods for Detecting the Root Cause of Alarm Floods in Causal Models. MMAR Paul Wunderlich, Oliver Niggemann
2018	C	`conf`	Information Retrieval in Industrial Production Environments. ETFA Stefan Windmann, Oliver Niggemann
2018	C	`conf`	Integrating OWL Ontologies for Smart Services into AutomationML and OPC UA. ETFA Andreas Bunte, Oliver Niggemann, Benno Stein
2018	—	`conf`	LSTM for Model-based Anomaly Detection in Cyber-Physical Systems. DX Benedikt Eiteneuer, Oliver Niggemann
2018	J	`jnl`	Machine Learning in Automation. Autom. Jürgen Beyerer, Oliver Niggemann
2018	—	`conf`	Mapping Data Sets to Concepts using Machine Learning and a Knowledge based Approach. ICAART (2) Andreas Bunte, Peng Li, Oliver Niggemann
2018	J	`jnl`	Online parameter estimation for cyber-physical production systems based on mixed integer nonlinear programming, process mining and black-box optimization techniques. Autom. Jens Otto, Birgit Vogel-Heuser, Oliver Niggemann
2017	C	`conf`	A new approach to model-based test case generation for industrial automation systems. INDIN Kevin Pinkal, Oliver Niggemann
2017	C	`conf`	A novel self-configuration method for RFID systems in industrial production environments. ETFA Stefan Windmann, Oliver Niggemann, Holger Ruwe, Friedrich Becker
2017	J	`jnl`	A self-configurable fault detection system for Industrial Ethernet networks. Autom. Stefan Windmann, Oliver Niggemann
2017	C	`conf`	Automated process planning for cyber-physical production systems. ETFA Antje Rogalla, Oliver Niggemann
2017	—	`ch.`	Datenanalyse in der intelligenten Fabrik. Handbuch Industrie 4.0 (2) Oliver Niggemann, Gautam Biswas, John S. Kinnebrew, Hamed Khorasgani, Sören Volgmann, Andreas Bunte
2017	C	`conf`	Defining and validating similarity measures for industrial alarm flood analysis. INDIN Marta Fullen, Peter Schüller, Oliver Niggemann
2017	—	`conf`	Differential Evolution in Production Process Optimization of Cyber Physical Systems. ML4CPS Katharina Giese, Jens Eickmeyer, Oliver Niggemann
2017	J	`jnl`	Interaktionsmodell für Industrie 4.0 Komponenten. Autom. Christian Diedrich, Alexander Bieliaiev, Jürgen Bock, Andreas Gössling, Rolf Hänisch, Andreas Kraft, Florian Pethig, Oliver Niggemann, Johannes Reich, Friedrich Vollmar, Jörg Wende
2017	—	`conf`	Learned Abstraction: Knowledge Based Concept Learning for Cyber Physical Systems. ML4CPS Andreas Bunte, Peng Li, Oliver Niggemann
2017	C	`conf`	Learning parallel automata of PLCs. ETFA Stefan Windmann, Dorota Lang, Oliver Niggemann
2017	—	`ed.`	Machine Learning for Cyber Physical Systems, Selected papers from the International Conference ML4CPS 2016, Karlsruhe, Germany, September 29, 2016. ML4CPS Jürgen Beyerer, Oliver Niggemann, Christian Kühnert
2017	C	`conf`	Managing Complexity: Towards Intelligent Error-Handling Assistance Trough Interactive Alarm Flood Reduction. CD-MAKE Sebastian Büttner, Paul Wunderlich, Mario Heinz, Oliver Niggemann, Carsten Röcker
2017	C	`conf`	Semantic interoperability for asset communication within smart factories. ETFA Christian Diedrich, Alexander Belyaev, Tizian Schroder, Jens Vialkowitsch, Alexander Willmann, Thomas Usländer, Heiko Koziolek, Jörg Wende, Florian Pethig, Oliver Niggemann
2017	—	`conf`	Semi-supervised Case-based Reasoning Approach to Alarm Flood Analysis. ML4CPS Marta Fullen, Peter Schüller, Oliver Niggemann
2017	C	`conf`	Structure learning methods for Bayesian networks to reduce alarm floods by identifying the root cause. ETFA Paul Wunderlich, Oliver Niggemann
2017	C	`conf`	Towards Industrie 4.0 compliant configuration of condition monitoring services. INDIN Florian Pethig, Oliver Niggemann, Armin Walter
2017	C	`conf`	Using self-organizing maps to learn hybrid timed automata in absence of discrete events. ETFA Alexander von Birgelen, Oliver Niggemann
2016	C	`conf`	A GPU-based method for robust and efficient fault detection in industrial automation processes. INDIN Stefan Windmann, Oliver Niggemann
2016	—	`conf`	Exposing Design Mistakes During Requirements Engineering by Solving Constraint Satisfaction Problems to Obtain Minimum Correction Subsets. ICAART (2) Alexander Diedrich, Björn Böttcher, Oliver Niggemann
2016	C	`conf`	Improving clustering based anomaly detection with concave hull: An application in fault diagnosis of wind turbines. INDIN Peng Li, Oliver Niggemann
2016	C	`conf`	Integrating semantics for diagnosis of manufacturing systems. ETFA Andreas Bunte, Alexander Diedrich, Oliver Niggemann
2016	—	`ed.`	Machine Learning for Cyber Physical Systems, Selected papers from the International Conference ML4CPS 2015, Lemgo, Germany, October 1-2, 2015 ML4CPS Oliver Niggemann, Jürgen Beyerer
2016	C	`conf`	Optimizing modular and reconfigurable cyber-physical production systems by determining parameters automatically. INDIN Jens Otto, Birgit Vogel-Heuser, Oliver Niggemann
2016	C	`conf`	Pattern-based control-code synthesis. INDIN Steffen Henning, Jens Otto, Oliver Niggemann
2015	J	`jnl`	"Plug-and-Produce" für Fertigungssysteme - Anwendungsfälle und Lösungsansätze. Inform. Spektrum Jürgen Jasperneite, Sven Hinrichsen, Oliver Niggemann
2015	C	`conf`	A HMM-based fault detection method for piecewise stationary industrial processes. ETFA Stefan Windmann, Florian Jungbluth, Oliver Niggemann
2015	—	`conf`	Automatic Parameterization of Automation Software for Plug-and-Produce. AAAI Workshop: Algorithm Configuration Jens Otto, Oliver Niggemann
2015	—	`conf`	Automatic model separation and application for diagnosis in industrial automation systems. ICIT Stefan Windmann, Oliver Niggemann
2015	C	`conf`	Bayesian predictive assistance system: An embedded application for resource optimization in industrial cleaning processes. INDIN Ganesh Man Shrestha, Peng Li, Oliver Niggemann
2015	C	`conf`	CP3L: A Cyber-Physical Production Planning Language. ETFA Anas Anis, Wilhelm Schäfer, Andrey Pines, Oliver Niggemann
2015	—	`conf`	Data Driven Condition Monitoring of Wind Power Plants Using Cluster Analysis. CyberC Peng Li, Jens Eickmeyer, Oliver Niggemann
2015	C	`conf`	Data Driven Modeling for System-Level Condition Monitoring on Wind Power Plants. DX Jens Eickmeyer, Peng Li, Omid Givehchi, Florian Pethig, Oliver Niggemann
2015	C	`conf`	Data-Driven Monitoring of Cyber-Physical Systems Leveraging on Big Data and the Internet-of-Things for Diagnosis and Control. DX Oliver Niggemann, Gautam Biswas, John S. Kinnebrew, Hamed Khorasgani, Sören Volgmann, Andreas Bunte
2015	J	`jnl`	Data-driven anomaly detection in cyber-physical production systems. Autom. Oliver Niggemann, Christian W. Frey
2015	C	`conf`	Efficient fault detection for industrial automation processes with observable process variables. INDIN Stefan Windmann, Oliver Niggemann
2015	—	`conf`	Energy efficiency optimization by automatic coordination of motor speeds in conveying systems. ICIT Stefan Windmann, Oliver Niggemann, Heiko Stichweh
2015	—	`conf`	Evaluation of Model-Based Condition Monitoring Systems in Industrial Application Cases. ML4CPS Stefan Windmann, Jens Eickmeyer, Florian Jungbluth, Johann Badinger, Oliver Niggemann
2015	C	`conf`	Exploiting multicore processors in PLCs using libraries for IEC 61131-3. ETFA Felix Specht, Holger Flatt, Jens Eickmeyer, Oliver Niggemann
2015	C	`conf`	Hybrid approach combining Bayesian network and rule-based systems for resource optimization in industrial cleaning processes. ETFA Ganesh Man Shrestha, Oliver Niggemann
2015	—	`conf`	Kognitive Architektur zum Konzeptlernen in technischen Systemen. ML4CPS Alexander Diedrich, Andreas Bunte, Alexander Maier, Oliver Niggemann
2015	C	`conf`	MapReduce algorithms for efficient generation of CPS models from large historical data sets. ETFA Stefan Windmann, Oliver Niggemann
2015	A*	`conf`	On the Diagnosis of Cyber-Physical Production Systems. AAAI Oliver Niggemann, Volker Lohweg
2015	C	`conf`	On the Learning of Timing Behavior for Anomaly Detection in Cyber-Physical Production Systems. DX Alexander Maier, Oliver Niggemann, Jens Eickmeyer
2014	C	`conf`	A Bayesian predictive assistance system for resource optimization - A case study in industrial cleaning process. ETFA Ganesh Man Shrestha, Oliver Niggemann
2014	C	`conf`	A comparison of modeling approaches for planning in Cyber Physical Production Systems. ETFA Anas Anis, Wilhelm Schäfer, Oliver Niggemann
2014	C	`conf`	A descriptive engineering approach for cyber-physical systems. ETFA Steffen Henning, Oliver Niggemann, Jens Otto, Sebastian Schriegel
2014	C	`conf`	Assisted design for automation systems - From formal requirements to final designs. ETFA Natalia Moriz, Björn Böttcher, Oliver Niggemann, Josef Lackhove
2014	A	`conf`	Emotional Trends in Social Media - A State Space Approach. ECAI Sören Volgmann, Francisco M. Rangel Pardo, Oliver Niggemann, Paolo Rosso
2014	A	`conf`	From Formal Requirements on Technical Systems to Complete Designs - A Holistic Approach. ECAI Björn Böttcher, Natalia Moriz, Oliver Niggemann
2014	C	`conf`	On the applicability of model based software development to cyber physical production systems. ETFA Oliver Niggemann, Björn Kroll
2014	—	`conf`	Plug and Work für verteilte Echtzeitsysteme mit Zeitsynchronisation. Echtzeit Sebastian Schriegel, Jürgen Jasperneite, Oliver Niggemann
2014	C	`conf`	System modeling based on machine learning for anomaly detection and predictive maintenance in industrial plants. ETFA Björn Kroll, David Schaffranek, Sebastian Schriegel, Oliver Niggemann
2013	C	`conf`	A software architecture for the analysis of energy- and process-data. ETFA Björn Kroll, Sebastian Schriegel, Oliver Niggemann, Stefan Schramm
2013	C	`conf`	A stochastic method for the detection of anomalous energy consumption in hybrid industrial systems. INDIN Stefan Windmann, Shuo Jiao, Oliver Niggemann, Holger Borcherding
2013	C	`conf`	Design of industrial automation systems - Formal requirements in the engineering process. ETFA Björn Böttcher, Johann Badinger, Natalia Moriz, Oliver Niggemann
2013	C	`conf`	Evaluating Learning Algorithms for Stochastic Finite Automata - Comparative Empirical Analyses on Learning Models for Technical Systems. ICPRAM Asmir Vodencarevic, Alexander Maier, Oliver Niggemann
2013	—	`conf`	Plug-and-Produce: Semantic Module Profile. MBEES Jens Otto, Björn Böttcher, Oliver Niggemann
2013	C	`conf`	The importance of model-learning for the analysis of the energy consumption of production plants. ETFA Syed Shiraz Gilani, Stefan Windmann, Florian Pethig, Björn Kroll, Oliver Niggemann
2012	C	`conf`	A generic synchronized data acquisition solution for distributed automation systems. ETFA Florian Pethig, Björn Kroll, Oliver Niggemann, Alexander Maier, Tim Tack, Matthias Maag
2012	C	`conf`	Detecting anomalous energy consumptions in distributed manufacturing systems. INDIN Sebastian Faltinski, Holger Flatt, Florian Pethig, Björn Kroll, Asmir Vodencarevic, Alexander Maier, Oliver Niggemann
2012	A*	`conf`	Learning Behavior Models for Hybrid Timed Systems. AAAI Oliver Niggemann, Benno Stein, Asmir Vodencarevic, Alexander Maier, Hans Kleine Büning
2012	—	`conf`	Solving Modeling Problems with Machine Learning -- A Classification Scheme of Model Learning Approaches for Technical Systems. MBEES Oliver Niggemann, Benno Stein, Alexander Maier
2012	—	`conf`	Visual Anomaly Detection in Production Plants. ICINCO (1) Alexander Maier, Tim Tack, Oliver Niggemann
2011	—	`conf`	Anomaly Detection in Production Plants using Timed Automata - Automated Learning of Models from Observations. ICINCO (1) Alexander Maier, Oliver Niggemann, Roman Just, Michael Jäger, Asmir Vodencarevic
2011	—	`conf`	AutomationML as a Basis for Offline - And Realtime-simulation - Planning, Simulation and Diagnosis of Automation Systems. ICINCO (2) Olaf Graeser, Barath Kumar, Oliver Niggemann, Natalia Moriz, Alexander Maier
2011	—	`conf`	Fighting the Modeling Bottleneck - Learning Models for Production Plants. MBEES Oliver Niggemann, Alexander Maier, Asmir Vodencarevic, Bernhard Jantscher
2011	C	`conf`	Identifying behavior models for process plants. ETFA Asmir Vodencarevic, Hans Kleine Büning, Oliver Niggemann, Alexander Maier
2011	—	`conf`	Modeling and Testing of Automation Systems. ICFCE Barath Kumar, Oliver Niggemann, Wilhelm Schäfer, Jürgen Jasperneite
2011	C	`conf`	Using automatic topology discovery to diagnose PROFINET networks. ETFA Michael Jäger, Roman Just, Oliver Niggemann
2011	—	`conf`	Using behavior models for anomaly detection in hybrid systems. ICAT Asmir Vodencarevic, Hans Kleine Büning, Oliver Niggemann, Alexander Maier
2011	C	`conf`	mINA-DL: A novel description language enabling dynamic reconfiguration in industrial automation. ETFA Michael Wienke, Sebastian Faltinski, Oliver Niggemann, Jürgen Jasperneite
2010	Misc	`conf`	A Probabilistic MajorClust Variant for the Clustering of Near-Homogeneous Graphs. KI Oliver Niggemann, Volker Lohweg, Tim Tack
2010	—	`conf`	Model-based Development of Automation Systems. MBEES Oliver Niggemann, Alexander Maier, Jürgen Jasperneite
2009	—	`conf`	Planning of Time Triggered Communication Schedules. Echtzeit Olaf Graeser, Oliver Niggemann
2009	—	`conf`	Using Models for Dynamic System Diagnosis: A Case Study in Automotive Engineering. MBEES Oliver Niggemann, Benno Stein, Thomas Spanuth, Heinrich Balzer
2008	—	`conf`	Durchgehende Systemverifikation im Automotiven Entwicklungsprozess. MBEES Oliver Niggemann, Rainer Otterbach
2008	A*	`conf`	Models for model's sake: why explicit system models are also an end to themselves. ICSE Oliver Niggemann, Joachim Stroop
2008	C	`conf`	Vom modellbasierten Architekturentwurf über die Simulation verteilter Systeme zum Serienprojekt. Software Engineering (Workshops) Rainer Otterbach, Oliver Niggemann
2007	—	`conf`	Benefits of System Simulation for Automotive Applications. Model-Based Engineering of Embedded Real-Time Systems Oliver Niggemann, Anne Geburzi, Joachim Stroop
2007	—	`conf`	Model-Based Integration. Model-Based Engineering of Embedded Real-Time Systems Holger Giese, Stefan Neumann, Oliver Niggemann, Bernhard Schätz
2007	—	`conf`	Typisierung und Verifikation zeitlicher Anforderungen automotiver Software Systeme. MBEES Matthias Gehrke, Martin Hirsch, Wilhelm Schäfer, Oliver Niggemann, Dirk Stichling, Ulrich Nickel
2007	C	`conf`	Verifikation zeitlicher Anforderungen in automotiven komponentenbasierten Software Systemen. Software Engineering Matthias Gehrke, Martin Hirsch, Wilhelm Schäfer, Oliver Niggemann, Dirk Stichling, Ulrich Nickel
2006	—	`conf`	Scenario-Based Verification of Automotive Software Systems. MBEES Matthias Gehrke, Petra Nawratil, Oliver Niggemann, Wilhelm Schäfer, Martin Hirsch
2006	—	`conf`	Speeding Up Model-based Diagnosis by a Heuristic Approach to Solving SAT. Artificial Intelligence and Applications Benno Stein, Oliver Niggemann, Theodor Lettmann
2001	—	`conf`	Generating protein interaction maps from incomplete data: application to fold assignment. ISMB (Supplement of Bioinformatics) Michael Lappe, Jong-Chan Park, Oliver Niggemann, Liisa Holm
2001	C	`conf`	Generation of Similarity Measures from Different Sources. IEA/AIE Benno Stein, Oliver Niggemann
2001	—	`—`	Visual data mining of graph based data. Oliver Niggemann
2001	—	`conf`	Visualization of traffic structures. ICC Oliver Niggemann, Benno Stein, Jens Tölle
2000	B	`conf`	A Meta Heuristic for Graph Drawing. Advanced Visual Interfaces Oliver Niggemann, Benno Stein
1999	B	`conf`	On the Nature of Structure and Its Identification. WG Benno Stein, Oliver Niggemann