Ralf Mikut - RankMe

192 papers A 3B 3C 1Misc 2Journal 137Unranked 44

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Knowledge Distillation for Efficient Transformer-Based Reinforcement Learning in Hardware-Constrained Energy Management Systems. CoRR Pascal Henrich, Jonas Sievers, Maximilian Beichter, Thomas Blank, Ralf Mikut, Veit Hagenmeyer
2026	J	`jnl`	Real-world energy data of 200 feeders from low-voltage grids with metadata in Germany over two years. CoRR Manuel Treutlein, Pascal Bothe, Marc Schmidt, Roman Hahn, Oliver Neumann, Ralf Mikut, Veit Hagenmeyer
2025	J	`jnl`	ASAP: Automated Style-Aware Similarity Measurement for Selection of Annotated Pre-Training Datasets in 2D Biomedical Imaging. IEEE Access Miguel Molina-Moreno, Marcel P. Schilling, Markus Reischl, Ralf Mikut
2025	J	`jnl`	Are Foundation Models Ready for Industrial Defect Recognition? A Reality Check on Real-World Data. CoRR Simon Baeuerle, Pratik Khanna, Nils Friederich, Angelo Jovin Yamachui Sitcheu, Damir Shakirov, Andreas Steimer, Ralf Mikut
2025	J	`jnl`	ComEMS4Build: Comfort-Oriented Energy Management System for Residential Buildings using Hydrogen for Seasonal Storage. CoRR Jovana Kovacevic, Felix Langner, Erfan Tajalli-Ardekani, Marvin Dorn, Simon Waczowicz, Ralf Mikut, Jörg Matthes, Hüseyin K. Çakmak, Veit Hagenmeyer
2025	J	`jnl`	Decision-Focused Fine-Tuning of Time Series Foundation Models for Dispatchable Feeder Optimization. CoRR Maximilian Beichter, Nils Friederich, Janik Pinter, Dorina Werling, Kaleb Phipps, Sebastian Beichter, Oliver Neumann, Ralf Mikut, Veit Hagenmeyer, Benedikt Heidrich
2025	J	`jnl`	EAP4EMSIG - Enhancing Event-Driven Microscopy for Microfluidic Single-Cell Analysis. CoRR Nils Friederich, Angelo Jovin Yamachui Sitcheu, Annika Nassal, Erenus Yildiz, Matthias Pesch, Maximilian Beichter, Lukas Scholtes, Bahar Akbaba, Thomas Lautenschlager, Oliver Neumann, Dietrich Kohlheyer, Hanno Scharr, Johannes Seiffarth, Katharina Nöh, Ralf Mikut
2025	J	`jnl`	Explainable time-series forecasting with sampling-free SHAP for Transformers. CoRR Matthias Hertel, Sebastian Pütz, Ralf Mikut, Veit Hagenmeyer, Benjamin Schäfer
2025	J	`jnl`	LeDiFlow: Learned Distribution-guided Flow Matching to Accelerate Image Generation. CoRR Pascal Zwick, Nils Friederich, Maximilian Beichter, Lennart Hilbert, Ralf Mikut, Oliver Bringmann
2025	J	`jnl`	On autoregressive deep learning models for day-ahead wind power forecasts with irregular shutdowns due to redispatching. Autom. Stefan Meisenbacher, Silas Aaron Selzer, Mehdi Dado, Maximilian Beichter, Tim Martin, Markus Zdrallek, Peter Bretschneider, Veit Hagenmeyer, Ralf Mikut
2025	J	`jnl`	Rapid AI-based generation of coverage paths for dispensing applications. CoRR Simon Baeuerle, Ian F. Mendonca, Kristof Van Laerhoven, Ralf Mikut, Andreas Steimer
2025	—	`conf`	Reducing Imbalance Energy by Spatial Balance Area Forecasting. e-Energy Jonathan Kolar, Matthias Hertel, Stefan Meisenbacher, Ralf Mikut, Veit Hagenmeyer
2025	J	`jnl`	Selected contributions from the workshops "Computational Intelligence" in 2023 and 2024. Autom. Ralf Mikut, Andreas Kroll, Horst Schulte
2025	J	`jnl`	Self-Supervised Learning Strategies for a Platform to Test the Toxicity of New Chemicals and Materials. CoRR Thomas Lautenschlager, Nils Friederich, Angelo Jovin Yamachui Sitcheu, Katja Nau, Gaëlle Hayot, Thomas Dickmeis, Ralf Mikut
2024	J	`jnl`	A self-supervised embedding of cell migration features for behavior discovery over cell populations. Comput. Methods Programs Biomed. Miguel Molina-Moreno, Iván González-Díaz, Ralf Mikut, Fernando Díaz-de-María
2024	J	`jnl`	AutoPQ: Automating Quantile estimation from Point forecasts in the context of sustainability. CoRR Stefan Meisenbacher, Kaleb Phipps, Oskar Taubert, Marie Weiel, Markus Götz, Ralf Mikut, Veit Hagenmeyer
2024	—	`conf`	Automation Level Taxonomy for Time Series Forecasting Services: Guideline for Real-World Smart Grid Applications. EI.A (1) Stefan Meisenbacher, Johannes Galenzowski, Kevin Förderer, Wolfgang Suess, Simon Waczowicz, Ralf Mikut, Veit Hagenmeyer
2024	J	`jnl`	Context-aware composition of agent policies by Markov decision process entity embeddings and agent ensembles. Semantic Web Nicole Merkle, Ralf Mikut
2024	J	`jnl`	Coverage Path Planning for Thermal Interface Materials. CoRR Simon Baeuerle, Andreas Steimer, Ralf Mikut
2024	—	`conf`	Decision-Focused Retraining of Forecast Models for Optimization Problems in Smart Energy Systems. e-Energy Maximilian Beichter, Dorina Werling, Benedikt Heidrich, Kaleb Phipps, Oliver Neumann, Nils Friederich, Ralf Mikut, Veit Hagenmeyer
2024	—	`conf`	Dynamic Phenotype Mapping in Evolutionary Algorithms for Energy Hub Scheduling. EI.A (2) Rafael Poppenborg, Kaleb Phipps, Maximilian Beichter, Kevin Förderer, Ralf Mikut, Veit Hagenmeyer
2024	J	`jnl`	EAP4EMSIG - Experiment Automation Pipeline for Event-Driven Microscopy to Smart Microfluidic Single-Cells Analysis. CoRR Nils Friederich, Angelo Jovin Yamachui Sitcheu, Annika Nassal, Matthias Pesch, Erenus Yildiz, Maximilian Beichter, Lukas Scholtes, Bahar Akbaba, Thomas Lautenschlager, Oliver Neumann, Dietrich Kohlheyer, Hanno Scharr, Johannes Seiffarth, Katharina Nöh, Ralf Mikut
2024	—	`conf`	Feasibility of Forecasting Highly Resolved Power Grid Frequency Utilizing Temporal Fusion Transformers. e-Energy Sebastian Pütz, Hadeer El Ashhab, Matthias Hertel, Ralf Mikut, Markus Götz, Veit Hagenmeyer, Benjamin Schäfer
2024	J	`jnl`	Generating peak-aware pseudo-measurements for low-voltage feeders using metadata of distribution system operators. CoRR Manuel Treutlein, Marc Schmidt, Roman Hahn, Matthias Hertel, Benedikt Heidrich, Ralf Mikut, Veit Hagenmeyer
2024	J	`jnl`	Generating probabilistic forecasts from arbitrary point forecasts using a conditional invertible neural network. Appl. Intell. Kaleb Phipps, Benedikt Heidrich, Marian Turowski, Moritz Wittig, Ralf Mikut, Veit Hagenmeyer
2024	—	`conf`	Intrinsic Explainable Artificial Intelligence Using Trainable Spatial Weights on Numerical Weather Predictions. e-Energy Oliver Neumann, Maximilian Beichter, Benedikt Heidrich, Nils Friederich, Veit Hagenmeyer, Ralf Mikut
2024	J	`jnl`	Iterative Cluster Harvesting for Wafer Map Defect Patterns. CoRR Alina Pleli, Simon Baeuerle, Michel Janus, Jonas Barth, Ralf Mikut, Hendrik P. A. Lensch
2024	J	`jnl`	ObiWan-Microbi: OMERO-based integrated workflow for annotating microbes in the cloud. SoftwareX Johannes Seiffarth, Tim Scherr, Bastian Wollenhaupt, Oliver Neumann, Hanno Scharr, Dietrich Kohlheyer, Ralf Mikut, Katharina Nöh
2024	J	`jnl`	On autoregressive deep learning models for day-ahead wind power forecasting with irregular shutdowns due to redispatching. CoRR Stefan Meisenbacher, Silas Aaron Selzer, Mehdi Dado, Maximilian Beichter, Tim Martin, Markus Zdrallek, Peter Bretschneider, Veit Hagenmeyer, Ralf Mikut
2024	J	`jnl`	Open Energy Services - Forecasting and Optimization as a Service for Energy Management Applications at Scale. CoRR David Wölfle, Kevin Förderer, Tobias Riedel, Lukas Landwich, Ralf Mikut, Veit Hagenmeyer, Hartmut Schmeck
2024	J	`jnl`	Probabilistic Day-Ahead Battery Scheduling based on Mixed Random Variables for Enhanced Grid Operation. CoRR Janik Pinter, Frederik Zahn, Maximilian Beichter, Ralf Mikut, Veit Hagenmeyer
2024	C	`conf`	Quantifying Domain-Application Knowledge Mismatch in Ontology-Guided Machine Learning. KEOD Pawel Bielski, Lena Witterauf, Sönke Jendral, Ralf Mikut, Jakob Bach
2024	J	`jnl`	Rapid Flow Behavior Modeling of Thermal Interface Materials Using Deep Neural Networks. IEEE Access Simon Baeuerle, Marius Gebhardt, Jonas Barth, Ralf Mikut, Andreas Steimer
2024	—	`conf`	Tracking One-in-a-Million: Large-Scale Benchmark for Microbial Single-Cell Tracking with Experiment-Aware Robustness Metrics. ECCV Workshops (16) Johannes Seiffarth, Luisa Blöbaum, Richard D. Paul, Nils Friederich, Angelo Jovin Yamachui Sitcheu, Ralf Mikut, Hanno Scharr, Alexander Grünberger, Katharina Nöh
2024	J	`jnl`	Tracking one-in-a-million: Large-scale benchmark for microbial single-cell tracking with experiment-aware robustness metrics. CoRR Johannes Seiffarth, Luisa Blöbaum, Richard D. Paul, Nils Friederich, Angelo Jovin Yamachui Sitcheu, Ralf Mikut, Hanno Scharr, Alexander Grünberger, Katharina Nöh
2023	—	`conf`	A Real-World District Community Platform as a Cyber-Physical-Social Infrastructure Systems in the Energy Domain. BuildSys Johannes Galenzowski, Simon Waczowicz, Stefan Meisenbacher, Ralf Mikut, Veit Hagenmeyer
2023	J	`jnl`	A fully automated touch-response behavior inspection pipeline on zebrafish larvae. Autom. Yanke Wang, Christian Pylatiuk, Ralf Mikut, Ravindra Peravali, Markus Reischl
2023	J	`jnl`	AI-based automated active learning for discovery of hidden dynamic processes: A use case in light microscopy. CoRR Nils Friederich, Angelo Jovin Yamachui Sitcheu, Oliver Neumann, Süheyla Eroglu-Kayikçi, Roshan Prizak, Lennart Hilbert, Ralf Mikut
2023	—	`conf`	AutoPV: Automated photovoltaic forecasts with limited information using an ensemble of pre-trained models. e-Energy Stefan Meisenbacher, Benedikt Heidrich, Tim Martin, Ralf Mikut, Veit Hagenmeyer
2023	—	`conf`	Automated Style-Aware Selection of Annotated Pre-Training Databases in Biomedical Imaging. ISBI Miguel Molina-Moreno, Marcel P. Schilling, Markus Reischl, Ralf Mikut
2023	—	`conf`	Automating Value-Oriented Forecast Model Selection by Meta-learning: Application on a Dispatchable Feeder. EI.A Dorina Werling, Maximilian Beichter, Benedikt Heidrich, Kaleb Phipps, Ralf Mikut, Veit Hagenmeyer
2023	J	`jnl`	CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting. CoRR Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Martin Weigert, Uwe Schmidt, Wenhua Zhang, Jun Zhang, Sen Yang, Jinxi Xiang, Xiyue Wang, Josef Lorenz Rumberger, Elias Baumann, Peter Hirsch, Lihao Liu, Chenyang Hong, Angelica I. Avilés-Rivero, Ayushi Jain, Heeyoung Ahn, Yiyu Hong, Hussam Azzuni, Min Xu, Mohammad Yaqub, Marie-Claire Blache, Benoît Piégu, Bertrand Vernay, Tim Scherr, Moritz Böhland, Katharina Löffler, Jiachen Li, Weiqin Ying, Chixin Wang, Dagmar Kainmueller, Carola-Bibiane Schönlieb, Shuolin Liu, Dhairya Talsania, Yughender Meda, Prakash Mishra, Muhammad Ridzuan, Oliver Neumann, Marcel P. Schilling, Markus Reischl, Ralf Mikut, Banban Huang, Hsiang-Chin Chien, Ching-Ping Wang, Chia-Yen Lee, Hong-Kun Lin, Zaiyi Liu, Xipeng Pan, Chu Han, Jijun Cheng, Muhammad Dawood, Srijay Deshpande, Raja Muhammad Saad Bashir, Adam Shephard, Pedro Costa, João D. Nunes, Aurélio Campilho, Jaime S. Cardoso, Hrishikesh P. S, Densen Puthussery, Devika R. G, Jiji C V, Ye Zhang, Zijie Fang, Zhifan Lin, Yongbing Zhang, Chunhui Lin, Liukun Zhang, Lijian Mao, Min Wu, Thi Tuong Vi Vo, Soo-Hyung Kim, Taebum Lee, Satoshi Kondo, Satoshi Kasai, Pranay Dumbhare, Vedant Phuse, Yash Dubey, Ankush Jamthikar, Trinh Thi Le Vuong, Jin Tae Kwak, Dorsa Ziaei, Hyun Jung, Tianyi Miao, David R. J. Snead, Shan-E-Ahmed Raza, Fayyaz Minhas, Nasir M. Rajpoot
2023	J	`jnl`	Context-Aware Composition of Agent Policies by Markov Decision Process Entity Embeddings and Agent Ensembles. CoRR Nicole Merkle, Ralf Mikut
2023	J	`jnl`	Controlling non-stationarity and periodicities in time series generation using conditional invertible neural networks. Appl. Intell. Benedikt Heidrich, Marian Turowski, Kaleb Phipps, Kai Schmieder, Wolfgang Süß, Ralf Mikut, Veit Hagenmeyer
2023	J	`jnl`	Creating Probabilistic Forecasts from Arbitrary Deterministic Forecasts using Conditional Invertible Neural Networks. CoRR Kaleb Phipps, Benedikt Heidrich, Marian Turowski, Moritz Wittig, Ralf Mikut, Veit Hagenmeyer
2023	J	`jnl`	Customized Uncertainty Quantification of Parking Duration Predictions for EV Smart Charging. IEEE Internet Things J. Kaleb Phipps, Karl Schwenk, Benjamin Briegel, Ralf Mikut, Veit Hagenmeyer
2023	—	`conf`	Dynamic Chromosome Interpretation in Evolutionary Algorithms for Distributed Energy Resources Scheduling. GECCO Companion Rafael Poppenborg, Kaleb Phipps, Hatem Khalloof, Kevin Förderer, Ralf Mikut, Veit Hagenmeyer
2023	—	`conf`	Loss-Customised Probabilistic Energy Time Series Forecasts Using Automated Hyperparameter Optimisation. e-Energy Kaleb Phipps, Stefan Meisenbacher, Benedikt Heidrich, Marian Turowski, Ralf Mikut, Veit Hagenmeyer
2023	J	`jnl`	MLOps for Scarce Image Data: A Use Case in Microscopic Image Analysis. CoRR Angelo Jovin Yamachui Sitcheu, Nils Friederich, Simon Baeuerle, Oliver Neumann, Markus Reischl, Ralf Mikut
2023	—	`conf`	Managing Anomalies in Energy Time Series for Automated Forecasting. EI.A Marian Turowski, Oliver Neumann, Lisa Mannsperger, Kristof Kraus, Kira Layer, Ralf Mikut, Veit Hagenmeyer
2023	J	`jnl`	ProbPNN: Enhancing Deep Probabilistic Forecasting with Statistical Information. CoRR Benedikt Heidrich, Kaleb Phipps, Oliver Neumann, Marian Turowski, Ralf Mikut, Veit Hagenmeyer
2023	J	`jnl`	Selected contributions from the Workshop "Computational Intelligence". Autom. Ralf Mikut, Andreas Kroll, Horst Schulte
2023	—	`conf`	The Impact of Forecast Characteristics on the Forecast Value for the Dispatchable Feeder. e-Energy (Companion) Dorina Werling, Maximilian Beichter, Benedikt Heidrich, Kaleb Phipps, Ralf Mikut, Veit Hagenmeyer
2023	J	`jnl`	Transformer Training Strategies for Forecasting Multiple Load Time Series. CoRR Matthias Hertel, Maximilian Beichter, Benedikt Heidrich, Oliver Neumann, Benjamin Schäfer, Ralf Mikut, Veit Hagenmeyer
2023	J	`jnl`	Transformer training strategies for forecasting multiple load time series. Energy Inform. Matthias Hertel, Maximilian Beichter, Benedikt Heidrich, Oliver Neumann, Benjamin Schäfer, Ralf Mikut, Veit Hagenmeyer
2023	J	`jnl`	Two-stage quality monitoring of a laser welding process using machine learning: An approach for fast yet precise quality monitoring. Autom. Patricia M. Dold, Fabian Bleier, Meiko Boley, Ralf Mikut
2023	J	`jnl`	Using weather data in energy time series forecasting: the benefit of input data transformations. Energy Inform. Oliver Neumann, Marian Turowski, Ralf Mikut, Veit Hagenmeyer, Nicole Ludwig
2022	—	`conf`	Adaptively coping with concept drifts in energy time series forecasting using profiles. e-Energy Benedikt Heidrich, Nicole Ludwig, Marian Turowski, Ralf Mikut, Veit Hagenmeyer
2022	J	`jnl`	An Automated Experimentation System for the Touch-Response Quantification of Zebrafish Larvae. IEEE Trans Autom. Sci. Eng. Yanke Wang, Daniel Marcato, Vani Tirumalasetty, Naveen Krishna Kanagaraj, Christian Pylatiuk, Ralf Mikut, Ravindra Peravali, Markus Reischl
2022	J	`jnl`	AutoPV: Automated photovoltaic forecasts with limited information using an ensemble of pre-trained models. CoRR Stefan Meisenbacher, Benedikt Heidrich, Tim Martin, Ralf Mikut, Veit Hagenmeyer
2022	J	`jnl`	Automated Annotator Variability Inspection for Biomedical Image Segmentation. IEEE Access Marcel P. Schilling, Tim Scherr, Friedrich R. Münke, Oliver Neumann, Mark Schutera, Ralf Mikut, Markus Reischl
2022	J	`jnl`	Boost short-term load forecasts with synthetic data from transferred latent space information. Energy Inform. Benedikt Heidrich, Lisa Mannsperger, Marian Turowski, Kaleb Phipps, Benjamin Schäfer, Ralf Mikut, Veit Hagenmeyer
2022	Misc	`conf`	Domain-Invariant Representation Learning from EEG with Private Encoders. ICASSP David Bethge, Philipp Hallgarten, Tobias Grosse-Puppendahl, Mohamed Kari, Ralf Mikut, Albrecht Schmidt, Ozan Özdenizci
2022	J	`jnl`	Domain-Invariant Representation Learning from EEG with Private Encoders. CoRR David Bethge, Philipp Hallgarten, Tobias Grosse-Puppendahl, Mohamed Kari, Ralf Mikut, Albrecht Schmidt, Ozan Özdenizci
2022	J	`jnl`	EasyMLServe: Easy Deployment of REST Machine Learning Services. CoRR Oliver Neumann, Marcel P. Schilling, Markus Reischl, Ralf Mikut
2022	J	`jnl`	EmbedTrack - Simultaneous Cell Segmentation and Tracking Through Learning Offsets and Clustering Bandwidths. IEEE Access Katharina Löffler, Ralf Mikut
2022	J	`jnl`	EmbedTrack - Simultaneous Cell Segmentation and Tracking Through Learning Offsets and Clustering Bandwidths. CoRR Katharina Löffler, Ralf Mikut
2022	—	`conf`	Enhancing anomaly detection methods for energy time series using latent space data representations. e-Energy Marian Turowski, Benedikt Heidrich, Kaleb Phipps, Kai Schmieder, Oliver Neumann, Ralf Mikut, Veit Hagenmeyer
2022	—	`conf`	Exploiting Multiple EEG Data Domains with Adversarial Learning. EMBC David Bethge, Philipp Hallgarten, Ozan Özdenizci, Ralf Mikut, Albrecht Schmidt, Tobias Grosse-Puppendahl
2022	J	`jnl`	Exploiting Multiple EEG Data Domains with Adversarial Learning. CoRR David Bethge, Philipp Hallgarten, Ozan Özdenizci, Ralf Mikut, Albrecht Schmidt, Tobias Grosse-Puppendahl
2022	J	`jnl`	Hardware-in-the-loop platforms for the automation and control of future energy systems. Autom. Peter Bretschneider, Ralf Mikut, Veit Hagenmeyer
2022	J	`jnl`	High-Throughput Data Acquisition Platform for Multi-Larvae Touch-Response Behavior Screening of Zebrafish. IEEE Robotics Autom. Lett. Yanke Wang, Naveen Krishna Kanagaraj, Christian Pylatiuk, Ralf Mikut, Ravindra Peravali, Markus Reischl
2022	—	`conf`	How to Derive and Implement a Minimalistic RC Model from Thermodynamics for the Control of Thermal Parameters for Assuring Thermal Comfort in Buildings. OSMSES Moritz Frahm, Felix Langner, Philipp Zwickel, Jörg Matthes, Ralf Mikut, Veit Hagenmeyer
2022	J	`jnl`	Machine learning with domain knowledge for predictive quality monitoring in resistance spot welding. J. Intell. Manuf. Baifan Zhou, Tim Pychynski, Markus Reischl, Evgeny Kharlamov, Ralf Mikut
2022	—	`conf`	Modeling and generating synthetic anomalies for energy and power time series. e-Energy Marian Turowski, Moritz Weber, Oliver Neumann, Benedikt Heidrich, Kaleb Phipps, Hüseyin Kemâl Çakmak, Ralf Mikut, Veit Hagenmeyer
2022	—	`conf`	Multi-zone grey-box thermal building identification with real occupants. BuildSys Moritz Frahm, Stefan Meisenbacher, Elena Klumpp, Ralf Mikut, Jörg Matthes, Veit Hagenmeyer
2022	J	`jnl`	Net load forecasting using different aggregation levels. Energy Inform. Maximilian Beichter, Kaleb Phipps, Martha Maria Frysztacki, Ralf Mikut, Veit Hagenmeyer, Nicole Ludwig
2022	J	`jnl`	Predicting the power grid frequency of European islands. CoRR Thorbjørn Lund Onsaker, Heidi S. Nygård, Damià Gomila, Pere Colet, Ralf Mikut, Richard Jumar, Heiko Maaß, Uwe G. Kühnapfel, Veit Hagenmeyer, Dirk Witthaut, Benjamin Schäfer
2022	J	`jnl`	Rapid Flow Behavior Modeling of Thermal Interface Materials Using Deep Neural Networks. CoRR Simon Baeuerle, Marius Gebhardt, Jonas Barth, Andreas Steimer, Ralf Mikut
2022	J	`jnl`	Review of automated time series forecasting pipelines. CoRR Stefan Meisenbacher, Marian Turowski, Kaleb Phipps, Martin Rätz, Dirk Müller, Veit Hagenmeyer, Ralf Mikut
2022	J	`jnl`	Review of automated time series forecasting pipelines. WIREs Data Mining Knowl. Discov. Stefan Meisenbacher, Marian Turowski, Kaleb Phipps, Martin Rätz, Dirk Müller, Veit Hagenmeyer, Ralf Mikut
2022	J	`jnl`	Smart Energy System Control Laboratory - a fully-automated and user-oriented research infrastructure for controlling and operating smart energy systems. Autom. Friedrich Wiegel, Jan Wachter, Michael Kyesswa, Ralf Mikut, Simon Waczowicz, Veit Hagenmeyer
2022	J	`jnl`	ciscNet - A Single-Branch Cell Instance Segmentation and Classification Network. CoRR Moritz Böhland, Oliver Neumann, Marcel P. Schilling, Markus Reischl, Ralf Mikut, Katharina Löffler, Tim Scherr
2021	—	`conf`	A Benchmark for Parking Duration Prediction of Electric Vehicles for Smart Charging Applications. SSCI Karl Schwenk, Kaleb Phipps, Benjamin Briegel, Veit Hagenmeyer, Ralf Mikut
2021	J	`jnl`	Ausgewählte Beiträge aus dem GMA-Fachausschuss 5.14 "Computational Intelligence". Autom. Ralf Mikut, Andreas Kroll, Horst Schulte
2021	J	`jnl`	CAD-to-real: enabling deep neural networks for 3D pose estimation of electronic control units. Autom. Simon Bäuerle, Moritz Böhland, Jonas Barth, Markus Reischl, Andreas Steimer, Ralf Mikut
2021	J	`jnl`	Concepts for Automated Machine Learning in Smart Grid Applications. CoRR Stefan Meisenbacher, Janik Pinter, Tim Martin, Veit Hagenmeyer, Ralf Mikut
2021	J	`jnl`	Cuepervision: self-supervised learning for continuous domain adaptation without catastrophic forgetting. Image Vis. Comput. Mark Schutera, Frank M. Hafner, Jochen Abhau, Veit Hagenmeyer, Ralf Mikut, Markus Reischl
2021	J	`jnl`	Data-Driven Copy-Paste Imputation for Energy Time Series. CoRR Moritz Weber, Marian Turowski, Hüseyin Kemâl Çakmak, Ralf Mikut, Uwe G. Kühnapfel, Veit Hagenmeyer
2021	J	`jnl`	Data-Driven Copy-Paste Imputation for Energy Time Series. IEEE Trans. Smart Grid Moritz Weber, Marian Turowski, Hüseyin Kemâl Çakmak, Ralf Mikut, Uwe G. Kühnapfel, Veit Hagenmeyer
2021	J	`jnl`	Evaluierung von Merkmalen zur Abbildung von Veränderungen in ungeordneten Bilddaten. Autom. Friedrich R. Münke, Marcel P. Schilling, Ralf Mikut, Markus Reischl
2021	J	`jnl`	Integrating Battery Aging in the Optimization for Bidirectional Charging of Electric Vehicles. IEEE Trans. Smart Grid Karl Schwenk, Stefan Meisenbacher, Benjamin Briegel, Tim Harr, Veit Hagenmeyer, Ralf Mikut
2021	J	`jnl`	Label Assistant: A Workflow for Assisted Data Annotation in Image Segmentation Tasks. CoRR Marcel P. Schilling, Luca Rettenberger, Friedrich R. Münke, Haijun Cui, Anna A. Popova, Pavel A. Levkin, Ralf Mikut, Markus Reischl
2021	J	`jnl`	Night-to-Day: Online Image-to-Image Translation for Object Detection Within Autonomous Driving by Night. IEEE Trans. Intell. Veh. Mark Schutera, Mostafa Hussein, Jochen Abhau, Ralf Mikut, Markus Reischl
2021	J	`jnl`	Probabilistic Solar Power Forecasting: Long Short-Term Memory Network vs Simpler Approaches. CoRR Vinayak Sharma, Jorge Ángel González Ordiano, Ralf Mikut, Umit Cali
2021	J	`jnl`	SemML: Facilitating development of ML models for condition monitoring with semantics. J. Web Semant. Baifan Zhou, Yulia Svetashova, Andre Gusmao, Ahmet Soylu, Gong Cheng, Ralf Mikut, Arild Waaler, Evgeny Kharlamov
2021	—	`conf`	Smart Charging of Electric Vehicles with Cloud-based Optimization and a Lightweight User Interface: A Real-World Application in the Energy Lab 2.0: Poster. e-Energy Stefan Meisenbacher, Karl Schwenk, Johannes Galenzowski, Simon Waczowicz, Ralf Mikut, Veit Hagenmeyer
2021	J	`jnl`	Smart Data Representations: Impact on the Accuracy of Deep Neural Networks. CoRR Oliver Neumann, Nicole Ludwig, Marian Turowski, Benedikt Heidrich, Veit Hagenmeyer, Ralf Mikut
2021	J	`jnl`	pyWATTS: Python Workflow Automation Tool for Time Series. CoRR Benedikt Heidrich, Andreas Bartschat, Marian Turowski, Oliver Neumann, Kaleb Phipps, Stefan Meisenbacher, Kai Schmieder, Nicole Ludwig, Ralf Mikut, Veit Hagenmeyer
2020	J	`jnl`	BeadNet: deep learning-based bead detection and counting in low-resolution microscopy images. Bioinform. Tim Scherr, Karolin Streule, Andreas Bartschat, Moritz Böhland, Johannes Stegmaier, Markus Reischl, Véronique Orian-Rousseau, Ralf Mikut
2020	J	`jnl`	CAD2Real: Deep learning with domain randomization of CAD data for 3D pose estimation of electronic control unit housings. CoRR Simon Baeuerle, Jonas Barth, Elton Renato Tavares de Menezes, Andreas Steimer, Ralf Mikut
2020	J	`jnl`	Cell Segmentation and Tracking using Distance Transform Predictions and Movement Estimation with Graph-Based Matching. CoRR Tim Scherr, Katharina Löffler, Moritz Böhland, Ralf Mikut
2020	J	`jnl`	Design of Transformation Initiatives Implementing Organisational Agility - An Empirical Study. CoRR Ivan Kovynyov, Axel Buerck, Ralf Mikut
2020	—	`conf`	Forecasting energy time series with profile neural networks. e-Energy Benedikt Heidrich, Marian Turowski, Nicole Ludwig, Ralf Mikut, Veit Hagenmeyer
2020	J	`jnl`	Maschinelles Lernen und Künstliche Intelligenz - Eine Revolution in der Automatisierungstechnik oder nur ein Hype? Autom. Ralf Mikut
2020	—	`conf`	Ontology-Enhanced Machine Learning: A Bosch Use Case of Welding Quality Monitoring. ISWC (2) Yulia Svetashova, Baifan Zhou, Tim Pychynski, Stefan Schmidt, York Sure-Vetter, Ralf Mikut, Evgeny Kharlamov
2020	—	`conf`	Point and contextual anomaly detection in building load profiles of a university campus. ISGT-Europe Long Wang, Marian Turowski, Meng Zhang, Till Riedel, Michael Beigl, Ralf Mikut, Veit Hagenmeyer
2020	A	`conf`	Predicting Quality of Automated Welding with Machine Learning and Semantics: A Bosch Case Study. CIKM Baifan Zhou, Yulia Svetashova, Seongsu Byeon, Tim Pychynski, Ralf Mikut, Evgeny Kharlamov
2020	B	`conf`	Semi-Automatic Generation Of Tight Binary Masks And Non-Convex Isosurfaces For Quantitative Analysis Of 3d Biological Samples. ICIP Sourabh Bhide, Ralf Mikut, Maria Leptin, Johannes Stegmaier
2020	J	`jnl`	Semi-Automatic Generation of Tight Binary Masks and Non-Convex Isosurfaces for Quantitative Analysis of 3D Biological Samples. CoRR Sourabh Bhide, Ralf Mikut, Maria Leptin, Johannes Stegmaier
2019	J	`jnl`	Ausgewählte Beiträge aus dem GMA-Fachausschuss 5.14 "Computational Intelligence". Autom. Ralf Mikut, Andreas Kroll, Frank Hoffmann
2019	J	`jnl`	Automated design process for hybrid regression modeling with a one-class SVM. Autom. Moritz Böhland, Wolfgang Doneit, Lutz Gröll, Ralf Mikut, Markus Reischl
2019	J	`jnl`	Benchmarking in classification and regression. WIREs Data Mining Knowl. Discov. Frank Hoffmann, Torsten Bertram, Ralf Mikut, Markus Reischl, Oliver Nelles
2019	J	`jnl`	Data mining tools. WIREs Data Mining Knowl. Discov. Andreas Bartschat, Markus Reischl, Ralf Mikut
2019	J	`jnl`	Data-driven charging strategies for grid-beneficial, customer-oriented and battery-preserving electric mobility. CoRR Karl Schwenk, Tim Harr, René Großmann, Riccardo Remo Appino, Veit Hagenmeyer, Ralf Mikut
2019	—	`conf`	Feature Space Exploration for Motion Classification Based on Multi-Modal Sensor Data for Lower Limb Exoskeletons. Humanoids Tilman Daab, Isabel Patzer, Ralf Mikut, Tamim Asfour
2019	J	`jnl`	Fuzzy tissue detection for real-time focal control in corneal confocal microscopy. Autom. Andreas Bartschat, Stephan Allgeier, Tim Scherr, Johannes Stegmaier, Sebastian Bohn, Klaus-Martin Reichert, Arjan Kuijper, Markus Reischl, Oliver Stachs, Bernd Köhler, Ralf Mikut
2019	A	`conf`	Modeling and Force Control of a Terramechanical Wheel-Soil Contact for a Robotic Manipulator Used in the Planetary Rover Design Process. IROS Jan Wachter, Ralf Mikut, Fabian Buse
2019	J	`jnl`	Motion prediction enables simulated MR-imaging of freely moving model organisms. PLoS Comput. Biol. Markus Reischl, Mazin Jouda, Neil MacKinnon, Erwin Fuhrer, Natalia Bakhtina, Andreas Bartschat, Ralf Mikut, Jan G. Korvink
2019	—	`conf`	On Calendar-Based Scheduling for User-Friendly Charging of Plug-In Electric Vehicles. CAVS Karl Schwenk, Manuel Faix, Ralf Mikut, Veit Hagenmeyer, Riccardo Remo Appino
2019	J	`jnl`	Probabilistic Energy Forecasting using Quantile Regressions based on a new Nearest Neighbors Quantile Filter. CoRR Jorge Ángel González Ordiano, Lutz Gröll, Ralf Mikut, Veit Hagenmeyer
2019	J	`jnl`	Strategies for supplementing recurrent neural network training for spatio-temporal prediction. Autom. Mark Schutera, Stefan Elser, Jochen Abhau, Ralf Mikut, Markus Reischl
2019	J	`jnl`	Towards DeepSpray: Using Convolutional Neural Network to post-process Shadowgraphy Images of Liquid Atomization. CoRR Geoffroy Chaussonnet, Christian Lieber, Yikang Yan, Wenda Gu, Andreas Bartschat, Markus Reischl, Rainer Koch, Ralf Mikut, Hans-Jörg Bauer
2018	—	`conf`	Assessment of Unsupervised Standard Pattern Recognition Methods for Industrial Energy Time Series. e-Energy Nicole Ludwig, Simon Waczowicz, Ralf Mikut, Veit Hagenmeyer
2018	—	`conf`	Cell segmentation in 3D confocal images using supervoxel merge-forests with CNN-based hypothesis selection. ISBI Johannes Stegmaier, Thiago Vallin Spina, Alexandre X. Falcão, Andreas Bartschat, Ralf Mikut, Elliot Meyerowitz, Alexandre Cunha
2018	J	`jnl`	Concept and benchmark results for Big Data energy forecasting based on Apache Spark. J. Big Data Jorge Ángel González Ordiano, Andreas Bartschat, Nicole Ludwig, Eric Braun, Simon Waczowicz, Nicolas Renkamp, Nico Peter, Clemens Düpmeier, Ralf Mikut, Veit Hagenmeyer
2018	—	`conf`	Demand Response clustering: Automatically finding optimal cluster hyper-parameter values. e-Energy Simon Waczowicz, Nicole Ludwig, Jorge Ángel González Ordiano, Ralf Mikut, Veit Hagenmeyer
2018	J	`jnl`	Digital Transformation in Airport Ground Operations. CoRR Ivan Kovynyov, Ralf Mikut
2018	J	`jnl`	EmbryoMiner: A new framework for interactive knowledge discovery in large-scale cell tracking data of developing embryos. PLoS Comput. Biol. Benjamin Schott, Manuel Traub, Cornelia Schlagenhauf, Masanari Takamiya, Thomas Antritter, Andreas Bartschat, Katharina Löffler, Denis Blessing, Jens C. Otte, Andrei Kobitski, G. Ulrich Nienhaus, Uwe Strähle, Ralf Mikut, Johannes Stegmaier
2018	J	`jnl`	Energy forecasting tools and services. WIREs Data Mining Knowl. Discov. Jorge Ángel González Ordiano, Simon Waczowicz, Veit Hagenmeyer, Ralf Mikut
2018	—	`conf`	Numerical Weather Prediction Data Free Solar Power Forecasting with Neural Networks. e-Energy Vinayak Sharma, Umit Cali, Veit Hagenmeyer, Ralf Mikut, Jorge Ángel González Ordiano
2018	J	`jnl`	Reliable Dispatch of Renewable Generation via Charging of Dynamic PEV Populations. CoRR R. R. Appino, M. Muñoz-Ortiz, Jorge Ángel González Ordiano, Ralf Mikut, Veit Hagenmeyer, Timm Faulwasser
2018	J	`jnl`	Storage Scheduling with Stochastic Uncertainties: Feasibility and Cost of Imbalances. CoRR R. R. Appino, Jorge Ángel González Ordiano, Ralf Mikut, Veit Hagenmeyer, Timm Faulwasser
2018	J	`jnl`	Transfer Learning with Human Corneal Tissues: An Analysis of Optimal Cut-Off Layer. CoRR Nadezhda Prodanova, Johannes Stegmaier, Stephan Allgeier, Sebastian Bohn, Oliver Stachs, Bernd Köhler, Ralf Mikut, Andreas Bartschat
2017	J	`jnl`	3D Cell Nuclei Segmentation with Balanced Graph Partitioning. CoRR Julian Arz, Peter Sanders, Johannes Stegmaier, Ralf Mikut
2017	J	`jnl`	Ausgewählte Beiträge aus dem GMA-Fachausschuss 5.14 "Computational Intelligence". Autom. Frank Hoffmann, Andreas Kroll, Ralf Mikut
2017	J	`jnl`	Cell Segmentation in 3D Confocal Images using Supervoxel Merge-Forests with CNN-based Hypothesis Selection. CoRR Johannes Stegmaier, Thiago Vallin Spina, Alexandre X. Falcão, Andreas Bartschat, Ralf Mikut, Elliot Meyerowitz, Alexandre Cunha
2017	J	`jnl`	Charakterisierung der Fahrbahnbeschaffenheit durch Data Mining von gemessenen kinematischen Fahrzeuggrößen. Autom. Johannes Masino, Guillaume Levasseur, Michael Frey, Frank Gauterin, Ralf Mikut, Markus Reischl
2017	J	`jnl`	DaMoQ: Eine Open-Source-MATLAB-Toolbox zur Bewertung von Daten- und Modellqualität in Regressionen. Autom. Wolfgang Doneit, Ralf Mikut, Lutz Gröll, Tim Pychynski, Markus Reischl
2017	J	`jnl`	Nearest-Neighbor Based Non-Parametric Probabilistic Forecasting with Applications in Photovoltaic Systems. CoRR Jorge Ángel González Ordiano, Wolfgang Doneit, Simon Waczowicz, Lutz Gröll, Ralf Mikut, Veit Hagenmeyer
2017	J	`jnl`	Photovoltaic power forecasting using simple data-driven models without weather data. Comput. Sci. Res. Dev. Jorge Ángel González Ordiano, Simon Waczowicz, Markus Reischl, Ralf Mikut, Veit Hagenmeyer
2017	J	`jnl`	Prognose für preisbeeinflusstes Verbrauchsverhalten. Autom. Stefan Klaiber, Simon Waczowicz, Irina Konotop, Dirk Westermann, Ralf Mikut, Peter Bretschneider
2017	J	`jnl`	The MATLAB Toolbox SciXMiner: User's Manual and Programmer's Guide. CoRR Ralf Mikut, Andreas Bartschat, Wolfgang Doneit, Jorge Ángel González Ordiano, Benjamin Schott, Johannes Stegmaier, Simon Waczowicz, Markus Reischl
2017	—	`conf`	Towards coding strategies for forecasting-based scheduling in smart grids and the energy lab 2.0. GECCO (Companion) Wilfried Jakob, Jorge Ángel González Ordiano, Nicole Ludwig, Ralf Mikut, Veit Hagenmeyer
2016	J	`jnl`	Automation strategies for large-scale 3D image analysis. Autom. Johannes Stegmaier, Benjamin Schott, Eduard Hübner, Manuel Traub, Maryam Shahid, Masanari Takamiya, Andrei Kobitski, Volker Hartmann, Rainer Stotzka, Jos van Wezel, Achim Streit, G. Ulrich Nienhaus, Uwe Strähle, Markus Reischl, Ralf Mikut
2016	J	`jnl`	Big Data & Automatisierung. Autom. Ralf Mikut
2016	J	`jnl`	Big Data: Perspektiven fuer Smart Grids und Smart Buildings. CoRR Ralf Mikut
2016	J	`jnl`	Challenges of Integrating A Priori Information Efficiently in the Discovery of Spatio-Temporal Objects in Large Databases. CoRR Benjamin Schott, Johannes Stegmaier, Masanari Takamiya, Ralf Mikut
2016	J	`jnl`	Einfluss von Trainingseffekten auf die Parameteradaption für Mensch-Maschine-Schnittstellen in der Medizintechnik. Autom. Markus Reischl, Michele René Tuga, Lena Meister, Eduard Alberg, Wolfgang Doneit, David Liebetanz, Rüdiger Rupp, Ralf Mikut
2016	J	`jnl`	Fuzzy-based Propagation of Prior Knowledge to Improve Large-Scale Image Analysis Pipelines. CoRR Johannes Stegmaier, Ralf Mikut
2016	J	`jnl`	Generating Semi-Synthetic Validation Benchmarks for Embryomics. CoRR Johannes Stegmaier, Julian Arz, Benjamin Schott, Jens C. Otte, Andrei Kobitski, G. Ulrich Nienhaus, Uwe Strähle, Peter Sanders, Ralf Mikut
2016	—	`conf`	Generating semi-synthetic validation benchmarks for embryomics. ISBI Johannes Stegmaier, Julian Arz, Benjamin Schott, Jens C. Otte, Andrei Kobitski, G. Ulrich Nienhaus, Uwe Strähle, Peter Sanders, Ralf Mikut
2016	J	`jnl`	Prof. Dr.-Ing. habil. Georg Bretthauer zum 70. Geburtstag. Autom. Ralf Mikut, Veit Hagenmeyer
2016	J	`jnl`	XPIWIT - an XML pipeline wrapper for the Insight Toolkit. Bioinform. Andreas Bartschat, Eduard Hübner, Markus Reischl, Ralf Mikut, Johannes Stegmaier
2015	—	`conf`	A Concept for the Control, Monitoring and Visualization Center in Energy Lab 2.0. D-A-CH EI Clemens Düpmeier, Karl-Uwe Stucky, Ralf Mikut, Veit Hagenmeyer
2015	—	`conf`	An automated and high-throughput Photomotor Response platform for chemical screens. EMBC Daniel Marcato, Rüdiger Alshut, Helmut Breitwieser, Ralf Mikut, Uwe Strähle, Christian Pylatiuk, Ravindra Peravali
2015	J	`jnl`	Data processing of high-rate low-voltage distribution grid recordings for smart grid monitoring and analysis. EURASIP J. Adv. Signal Process. Heiko Maaß, Hüseyin Kemâl Çakmak, Felix Bach, Ralf Mikut, Aymen Harrabi, Wolfgang Süß, Wilfried Jakob, Karl-Uwe Stucky, Uwe G. Kühnapfel, Veit Hagenmeyer
2015	—	`ch.`	Fuzzy Control. Handbook of Computational Intelligence Christian Moewes, Ralf Mikut, Rudolf Kruse
2014	J	`jnl`	Asphalt Image Miner: Ein Werkzeug zur automatischen Quantifizierung der Gesteinskörnungen in Asphaltproben. Autom. Markus Reischl, Anne Wittenberg, Carsten Karcher, Ralf Mikut
2014	J	`jnl`	Automated prior knowledge-based quantification of neuronal patterns in the spinal cord of zebrafish. Bioinform. Johannes Stegmaier, Maryam Shahid, Masanari Takamiya, Lixin Yang, Sepand Rastegar, Markus Reischl, Uwe Strähle, Ralf Mikut
2014	J	`jnl`	Data Mining zur Analyse der Auswirkungen von Preissignalen auf Haushaltsstromkunden. Autom. Simon Waczowicz, Stefan Klaiber, Peter Bretschneider, Irina Konotop, Dirk Westermann, Markus Reischl, Ralf Mikut
2013	J	`jnl`	Flexible diskret-kontinuierliche Überwachung und Regelung humanoider Roboter. Autom. Giulio Milighetti, Christian Bauer, Ralf Mikut, Helge-Björn Kuntze
2012	—	`conf`	Automatic Tuning of Image Segmentation Parameters by Means of Fuzzy Feature Evaluation. SMPS Arif ul Maula Khan, Ralf Mikut, Brigitte Schweitzer, Carsten Weiss, Markus Reischl
2012	—	`conf`	Hardware Design and Mathematical Modeling for an Artificial Pneumatic Spine for a Biped Humanoid Robot. ROBOTIK Christian Bauer, Mark Engelmann, Immanuel Gaiser, Ralf Mikut, Stefan Schulz, Andreas Fischer, Thorsten Stein
2012	J	`jnl`	Konzept für einen biologisch inspirierten, semi-passiven pneumatisch angetriebenen zweibeinigen Prothesen-Roboter-Hybrid. Autom. Christian Bauer, Mona Mors, Andreas Fischer, Thorsten Stein, Ralf Mikut, Stefan Schulz
2012	J	`jnl`	Methoden zur datengetriebenen Formulierung und Visualisierung von Kausalitätshypothesen. Autom. Christian Kühnert, Lutz Gröll, Michael Heizmann, Markus Reischl, Ralf Mikut
2011	J	`jnl`	Automatische Klassifikation von Bildzeitreihen für toxikologische Hochdurchsatz-Untersuchungen. Autom. Rüdiger Alshut, Ralf Mikut, Jessica Legradi, Urban Liebel, Uwe Strähle, Georg Bretthauer, Markus Reischl
2011	J	`jnl`	Data mining tools. WIREs Data Mining Knowl. Discov. Ralf Mikut, Markus Reischl
2011	J	`jnl`	Evaluation of data mining approaches for the control of multifunctional arm prostheses. Integr. Comput. Aided Eng. Markus Reischl, Lutz Gröll, Ralf Mikut
2010	A	`conf`	Human-like reflexes for robotic manipulation using leaky integrate-and-fire neurons. IROS Christian Bauer, Giulio Milighetti, Wenjie Yan, Ralf Mikut
2010	Misc	`conf`	Methods for Automated High-Throughput Toxicity Testing Using Zebrafish Embryos. KI Rüdiger Alshut, Jessica Legradi, Urban Liebel, Lixin Yang, Jos van Wezel, Uwe Strähle, Ralf Mikut, Markus Reischl
2009	J	`jnl`	Aus der Arbeit des GMA-FA 5.14 "Computational Intelligence". Autom. Ralf Mikut
2009	J	`jnl`	Computational Intelligence (Fortsetzung). Autom. Andreas Kroll, Ralf Mikut
2008	J	`jnl`	Aktuelles aus dem GMA-FA 5.14 Computational Intelligence. Autom. Frank Hoffmann, Ralf Mikut
2008	J	`jnl`	Computational Intelligence (Computational Intelligence). Autom. Andreas Kroll, Ralf Mikut
2008	J	`jnl`	Data-Mining-Analysen mit der Matlab-Toolbox Gait-CAD (Data Mining Analyses with the Matlab Toolbox Gait-CAD). Autom. Ole Burmeister, Markus Reischl, Georg Bretthauer, Ralf Mikut
2008	J	`jnl`	Takagi-Sugeno-Kang Fuzzy Classifiers for a Special Class of Time-Varying Systems. IEEE Trans. Fuzzy Syst. Ralf Mikut, Ole Burmeister, Lutz Gröll, Markus Reischl
2006	J	`jnl`	Regelungs- und Steuerungskonzepte für Neuroprothesen am Beispiel der oberen Extremitäten (Closed- and Open-Loop Control Concepts for Neuroprostheses of Upper Extremities). Autom. Ralf Mikut, Thilo B. Krüger, Markus Reischl, Ole Burmeister, Rüdiger Rupp, Thomas Stieglitz
2006	J	`jnl`	Zeitvariante Klassifikatoren zur Steuerung von Brain Machine Interfaces und Neuroprothesen (Time-variant Classifiers to Control Brain Machine Interfaces and Neuroprostheses). Autom. Ole Burmeister, Markus Reischl, Lutz Gröll, Ralf Mikut
2005	—	`conf`	A cognitive architecture for a humanoid robot: a first approach. Humanoids Catherina Burghart, Ralf Mikut, Rainer Stiefelhagen, Tamim Asfour, Hartwig Holzapfel, Peter Steinhaus, Rüdiger Dillmann
2005	J	`jnl`	A hydraulically driven multifunctional prosthetic hand. Robotica Stefan Schulz, Christian Pylatiuk, Markus Reischl, Jan Martin, Ralf Mikut, Georg Bretthauer
2005	J	`jnl`	Interpretability issues in data-based learning of fuzzy systems. Fuzzy Sets Syst. Ralf Mikut, Jens Jäkel, Lutz Gröll
2005	—	`conf`	Low-Level Finger Coordination for Compliant Anthropomorphic Robot Grippers. CDC/ECC Arne Lehmann, Ralf Mikut, Dirk Osswald
2004	—	`conf`	EMG-control of prostheses by switch signals: extraction and classification of features. SMC (1) Markus Reischl, Ralf Mikut, Lutz Gröll
2004	B	`conf`	Fuzzy stability supervision of robot grippers. FUZZ-IEEE Ralf Mikut, Arne Lehmann, Georg Bretthauer
2004	J	`jnl`	Integrating a flexible anthropomorphic, robot hand into the control, system of a humanoid robot. Robotics Auton. Syst. Dirk Osswald, Jan Martin, Catherina Burghart, Ralf Mikut, Heinz Wörn, Georg Bretthauer
2004	B	`conf`	Optimized classification of multiclass problems applied to EMG-control of hand prostheses. IJCNN Markus Reischl, Lutz Gröll, Ralf Mikut
2004	J	`jnl`	Sensors, Identification, and Low Level Control of a Flexible Anthropomorphic Robot Hand. Int. J. Humanoid Robotics Jan Martin, Sebastian Beck, Arne Lehmann, Ralf Mikut, Christian Pylatiuk, Stefan Schulz, Georg Bretthauer
2003	—	`conf`	Decision-theoretic approaches in fuzzy rule generation for diagnosis and fault detection problems. EUSFLAT Conf. Sebastian Beck, Ralf Mikut, Jens Jäkel, Georg Bretthauer
2003	—	`conf`	Model-based control and object contact detection for a fluidic actuated robotic hand. CDC Sebastian Beck, Ralf Mikut, Arne Lehmann, Georg Bretthauer
1999	—	`conf`	Design, implementation and commissioning of a fuzzy-adaptive mould level control system. ECC B. Dumitriu, Ralf Mikut, Georg Bretthauer, G. Werfel, S. Böttger, M. Siewior
1999	—	`—`	Modellgestützte On-line-Stabilitätsüberwachung komplexer Systeme auf der Basis unscharfer Ljapunov-Funktionen. Ralf Mikut