Ralf Mikut
Orcid: 0000-0001-9100-5496
According to our database1,
Ralf Mikut
authored at least 146 papers
between 1999 and 2024.
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Bibliography
2024
Open Energy Services - Forecasting and Optimization as a Service for Energy Management Applications at Scale.
CoRR, 2024
Rapid Flow Behavior Modeling of Thermal Interface Materials Using Deep Neural Networks.
IEEE Access, 2024
2023
Autom., October, 2023
Autom., October, 2023
Two-stage quality monitoring of a laser welding process using machine learning: An approach for fast yet precise quality monitoring.
Autom., October, 2023
Controlling non-stationarity and periodicities in time series generation using conditional invertible neural networks.
Appl. Intell., April, 2023
Using weather data in energy time series forecasting: the benefit of input data transformations.
Energy Inform., January, 2023
Energy Inform., January, 2023
Customized Uncertainty Quantification of Parking Duration Predictions for EV Smart Charging.
IEEE Internet Things J., 2023
AI-based automated active learning for discovery of hidden dynamic processes: A use case in light microscopy.
CoRR, 2023
Context-Aware Composition of Agent Policies by Markov Decision Process Entity Embeddings and Agent Ensembles.
CoRR, 2023
CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting.
CoRR, 2023
CoRR, 2023
Creating Probabilistic Forecasts from Arbitrary Deterministic Forecasts using Conditional Invertible Neural Networks.
CoRR, 2023
A Real-World District Community Platform as a Cyber-Physical-Social Infrastructure Systems in the Energy Domain.
Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, 2023
Automated Style-Aware Selection of Annotated Pre-Training Databases in Biomedical Imaging.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Dynamic Chromosome Interpretation in Evolutionary Algorithms for Distributed Energy Resources Scheduling.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023
Automating Value-Oriented Forecast Model Selection by Meta-learning: Application on a Dispatchable Feeder.
Proceedings of the Energy Informatics - Third Energy Informatics Academy Conference, 2023
Proceedings of the Energy Informatics - Third Energy Informatics Academy Conference, 2023
The Impact of Forecast Characteristics on the Forecast Value for the Dispatchable Feeder.
Proceedings of the Companion Proceedings of the 14th ACM International Conference on Future Energy Systems, 2023
Loss-Customised Probabilistic Energy Time Series Forecasts Using Automated Hyperparameter Optimisation.
Proceedings of the 14th ACM International Conference on Future Energy Systems, 2023
AutoPV: Automated photovoltaic forecasts with limited information using an ensemble of pre-trained models.
Proceedings of the 14th ACM International Conference on Future Energy Systems, 2023
2022
WIREs Data Mining Knowl. Discov., 2022
An Automated Experimentation System for the Touch-Response Quantification of Zebrafish Larvae.
IEEE Trans Autom. Sci. Eng., 2022
High-Throughput Data Acquisition Platform for Multi-Larvae Touch-Response Behavior Screening of Zebrafish.
IEEE Robotics Autom. Lett., 2022
Machine learning with domain knowledge for predictive quality monitoring in resistance spot welding.
J. Intell. Manuf., 2022
Boost short-term load forecasts with synthetic data from transferred latent space information.
Energy Inform., 2022
CoRR, 2022
Smart Energy System Control Laboratory - a fully-automated and user-oriented research infrastructure for controlling and operating smart energy systems.
Autom., 2022
Hardware-in-the-loop platforms for the automation and control of future energy systems.
Autom., 2022
IEEE Access, 2022
EmbedTrack - Simultaneous Cell Segmentation and Tracking Through Learning Offsets and Clustering Bandwidths.
IEEE Access, 2022
Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, 2022
How to Derive and Implement a Minimalistic RC Model from Thermodynamics for the Control of Thermal Parameters for Assuring Thermal Comfort in Buildings.
Proceedings of the Open Source Modelling and Simulation of Energy Systems, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Proceedings of the e-Energy '22: The Thirteenth ACM International Conference on Future Energy Systems, Virtual Event, 28 June 2022, 2022
Enhancing anomaly detection methods for energy time series using latent space data representations.
Proceedings of the e-Energy '22: The Thirteenth ACM International Conference on Future Energy Systems, Virtual Event, 28 June 2022, 2022
Adaptively coping with concept drifts in energy time series forecasting using profiles.
Proceedings of the e-Energy '22: The Thirteenth ACM International Conference on Future Energy Systems, Virtual Event, 28 June 2022, 2022
2021
SemML: Facilitating development of ML models for condition monitoring with semantics.
J. Web Semant., 2021
IEEE Trans. Smart Grid, 2021
Integrating Battery Aging in the Optimization for Bidirectional Charging of Electric Vehicles.
IEEE Trans. Smart Grid, 2021
Night-to-Day: Online Image-to-Image Translation for Object Detection Within Autonomous Driving by Night.
IEEE Trans. Intell. Veh., 2021
Cuepervision: self-supervised learning for continuous domain adaptation without catastrophic forgetting.
Image Vis. Comput., 2021
Label Assistant: A Workflow for Assisted Data Annotation in Image Segmentation Tasks.
CoRR, 2021
CoRR, 2021
Probabilistic Solar Power Forecasting: Long Short-Term Memory Network vs Simpler Approaches.
CoRR, 2021
Autom., 2021
Autom., 2021
CAD-to-real: enabling deep neural networks for 3D pose estimation of electronic control units.
Autom., 2021
A Benchmark for Parking Duration Prediction of Electric Vehicles for Smart Charging Applications.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021
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.
Proceedings of the e-Energy '21: The Twelfth ACM International Conference on Future Energy Systems, Virtual Event, Torino, Italy, 28 June, 2021
2020
CAD2Real: Deep learning with domain randomization of CAD data for 3D pose estimation of electronic control unit housings.
CoRR, 2020
Design of Transformation Initiatives Implementing Organisational Agility - An Empirical Study.
CoRR, 2020
Cell Segmentation and Tracking using Distance Transform Predictions and Movement Estimation with Graph-Based Matching.
CoRR, 2020
BeadNet: deep learning-based bead detection and counting in low-resolution microscopy images.
Bioinform., 2020
Maschinelles Lernen und Künstliche Intelligenz - Eine Revolution in der Automatisierungstechnik oder nur ein Hype?
Autom., 2020
Proceedings of the Semantic Web - ISWC 2020, 2020
Point and contextual anomaly detection in building load profiles of a university campus.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2020
Semi-Automatic Generation Of Tight Binary Masks And Non-Convex Isosurfaces For Quantitative Analysis Of 3d Biological Samples.
Proceedings of the IEEE International Conference on Image Processing, 2020
Proceedings of the e-Energy '20: The Eleventh ACM International Conference on Future Energy Systems, 2020
Predicting Quality of Automated Welding with Machine Learning and Semantics: A Bosch Case Study.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
2019
WIREs Data Mining Knowl. Discov., 2019
PLoS Comput. Biol., 2019
Towards DeepSpray: Using Convolutional Neural Network to post-process Shadowgraphy Images of Liquid Atomization.
CoRR, 2019
Data-driven charging strategies for grid-beneficial, customer-oriented and battery-preserving electric mobility.
CoRR, 2019
Probabilistic Energy Forecasting using Quantile Regressions based on a new Nearest Neighbors Quantile Filter.
CoRR, 2019
Strategies for supplementing recurrent neural network training for spatio-temporal prediction.
Autom., 2019
Autom., 2019
Autom., 2019
Modeling and Force Control of a Terramechanical Wheel-Soil Contact for a Robotic Manipulator Used in the Planetary Rover Design Process.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019
Feature Space Exploration for Motion Classification Based on Multi-Modal Sensor Data for Lower Limb Exoskeletons.
Proceedings of the 19th IEEE-RAS International Conference on Humanoid Robots, 2019
On Calendar-Based Scheduling for User-Friendly Charging of Plug-In Electric Vehicles.
Proceedings of the IEEE 2nd Connected and Automated Vehicles Symposium, 2019
2018
EmbryoMiner: A new framework for interactive knowledge discovery in large-scale cell tracking data of developing embryos.
PLoS Comput. Biol., 2018
J. Big Data, 2018
CoRR, 2018
CoRR, 2018
Storage Scheduling with Stochastic Uncertainties: Feasibility and Cost of Imbalances.
CoRR, 2018
Cell segmentation in 3D confocal images using supervoxel merge-forests with CNN-based hypothesis selection.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Demand Response clustering: Automatically finding optimal cluster hyper-parameter values.
Proceedings of the Ninth International Conference on Future Energy Systems, 2018
Proceedings of the Ninth International Conference on Future Energy Systems, 2018
Assessment of Unsupervised Standard Pattern Recognition Methods for Industrial Energy Time Series.
Proceedings of the Ninth International Conference on Future Energy Systems, 2018
2017
Comput. Sci. Res. Dev., 2017
Nearest-Neighbor Based Non-Parametric Probabilistic Forecasting with Applications in Photovoltaic Systems.
CoRR, 2017
Charakterisierung der Fahrbahnbeschaffenheit durch Data Mining von gemessenen kinematischen Fahrzeuggrößen.
Autom., 2017
Autom., 2017
DaMoQ: Eine Open-Source-MATLAB-Toolbox zur Bewertung von Daten- und Modellqualität in Regressionen.
Autom., 2017
Towards coding strategies for forecasting-based scheduling in smart grids and the energy lab 2.0.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
2016
Fuzzy-based Propagation of Prior Knowledge to Improve Large-Scale Image Analysis Pipelines.
CoRR, 2016
Challenges of Integrating A Priori Information Efficiently in the Discovery of Spatio-Temporal Objects in Large Databases.
CoRR, 2016
Einfluss von Trainingseffekten auf die Parameteradaption für Mensch-Maschine-Schnittstellen in der Medizintechnik.
Autom., 2016
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
2015
Proceedings of the Springer Handbook of Computational Intelligence, 2015
Data processing of high-rate low-voltage distribution grid recordings for smart grid monitoring and analysis.
EURASIP J. Adv. Signal Process., 2015
Proceedings of the Energy Informatics, 2015
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
2014
Automated prior knowledge-based quantification of neuronal patterns in the spinal cord of zebrafish.
Bioinform., 2014
Autom., 2014
Asphalt Image Miner: Ein Werkzeug zur automatischen Quantifizierung der Gesteinskörnungen in Asphaltproben.
Autom., 2014
2013
Autom., 2013
2012
Methoden zur datengetriebenen Formulierung und Visualisierung von Kausalitätshypothesen.
Autom., 2012
Konzept für einen biologisch inspirierten, semi-passiven pneumatisch angetriebenen zweibeinigen Prothesen-Roboter-Hybrid.
Autom., 2012
Automatic Tuning of Image Segmentation Parameters by Means of Fuzzy Feature Evaluation.
Proceedings of the Synergies of Soft Computing and Statistics for Intelligent Data Analysis, 2012
Hardware Design and Mathematical Modeling for an Artificial Pneumatic Spine for a Biped Humanoid Robot.
Proceedings of the ROBOTIK 2012, 2012
2011
Evaluation of data mining approaches for the control of multifunctional arm prostheses.
Integr. Comput. Aided Eng., 2011
Automatische Klassifikation von Bildzeitreihen für toxikologische Hochdurchsatz-Untersuchungen.
Autom., 2011
2010
Proceedings of the KI 2010: Advances in Artificial Intelligence, 2010
Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010
2009
2008
IEEE Trans. Fuzzy Syst., 2008
Data-Mining-Analysen mit der Matlab-Toolbox Gait-CAD (Data Mining Analyses with the Matlab Toolbox Gait-CAD).
Autom., 2008
2006
Regelungs- und Steuerungskonzepte für Neuroprothesen am Beispiel der oberen Extremitäten (Closed- and Open-Loop Control Concepts for Neuroprostheses of Upper Extremities).
Autom., 2006
Zeitvariante Klassifikatoren zur Steuerung von Brain Machine Interfaces und Neuroprothesen (Time-variant Classifiers to Control Brain Machine Interfaces and Neuroprostheses).
Autom., 2006
2005
Fuzzy Sets Syst., 2005
Proceedings of the 5th IEEE-RAS International Conference on Humanoid Robots, 2005
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005
2004
Integrating a flexible anthropomorphic, robot hand into the control, system of a humanoid robot.
Robotics Auton. Syst., 2004
Sensors, Identification, and Low Level Control of a Flexible Anthropomorphic Robot Hand.
Int. J. Humanoid Robotics, 2004
EMG-control of prostheses by switch signals: extraction and classification of features.
Proceedings of the IEEE International Conference on Systems, 2004
Proceedings of the IEEE International Conference on Fuzzy Systems, 2004
2003
Decision-theoretic approaches in fuzzy rule generation for diagnosis and fault detection problems.
Proceedings of the 3rd Conference of the European Society for Fuzzy Logic and Technology, 2003
Model-based control and object contact detection for a fluidic actuated robotic hand.
Proceedings of the 42nd IEEE Conference on Decision and Control, 2003
1999
Modellgestützte On-line-Stabilitätsüberwachung komplexer Systeme auf der Basis unscharfer Ljapunov-Funktionen.
PhD thesis, 1999
Design, implementation and commissioning of a fuzzy-adaptive mould level control system.
Proceedings of the 5th European Control Conference, 1999