Ralf Mikut

According to our database1, Ralf Mikut authored at least 127 papers between 1999 and 2023.

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In proceedings 
PhD thesis 


Online presence:

On csauthors.net:


ProbPNN: Enhancing Deep Probabilistic Forecasting with Statistical Information.
CoRR, 2023

Creating Probabilistic Forecasts from Arbitrary Deterministic Forecasts using Conditional Invertible Neural Networks.
CoRR, 2023

Review of automated time series forecasting pipelines.
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

Net load forecasting using different aggregation levels.
Energy Inform., 2022

AutoPV: Automated photovoltaic forecasts with limited information using an ensemble of pre-trained models.
CoRR, 2022

EasyMLServe: Easy Deployment of REST Machine Learning Services.
CoRR, 2022

Predicting the power grid frequency of European islands.
CoRR, 2022

Rapid Flow Behavior Modeling of Thermal Interface Materials Using Deep Neural Networks.
CoRR, 2022

ciscNet - A Single-Branch Cell Instance Segmentation and Classification Network.
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

Automated Annotator Variability Inspection for Biomedical Image Segmentation.
IEEE Access, 2022

EmbedTrack - Simultaneous Cell Segmentation and Tracking Through Learning Offsets and Clustering Bandwidths.
IEEE Access, 2022

Multi-zone grey-box thermal building identification with real occupants.
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

Domain-Invariant Representation Learning from EEG with Private Encoders.
Proceedings of the IEEE International Conference on Acoustics, 2022

Exploiting Multiple EEG Data Domains with Adversarial Learning.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Modeling and generating synthetic anomalies for energy and power time series.
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

SemML: Facilitating development of ML models for condition monitoring with semantics.
J. Web Semant., 2021

Data-Driven Copy-Paste Imputation for Energy Time Series.
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

Smart Data Representations: Impact on the Accuracy of Deep Neural Networks.
CoRR, 2021

Concepts for Automated Machine Learning in Smart Grid Applications.
CoRR, 2021

pyWATTS: Python Workflow Automation Tool for Time Series.
CoRR, 2021

Probabilistic Solar Power Forecasting: Long Short-Term Memory Network vs Simpler Approaches.
CoRR, 2021

Evaluierung von Merkmalen zur Abbildung von Veränderungen in ungeordneten Bilddaten.
Autom., 2021

Ausgewählte Beiträge aus dem GMA-Fachausschuss 5.14 "Computational Intelligence".
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

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

Ontology-Enhanced Machine Learning: A Bosch Use Case of Welding Quality Monitoring.
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

Forecasting energy time series with profile neural networks.
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

Benchmarking in classification and regression.
WIREs Data Mining Knowl. Discov., 2019

Data mining tools.
WIREs Data Mining Knowl. Discov., 2019

Motion prediction enables simulated MR-imaging of freely moving model organisms.
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

Automated design process for hybrid regression modeling with a one-class SVM.
Autom., 2019

Fuzzy tissue detection for real-time focal control in corneal confocal microscopy.
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

Energy forecasting tools and services.
WIREs Data Mining Knowl. Discov., 2018

EmbryoMiner: A new framework for interactive knowledge discovery in large-scale cell tracking data of developing embryos.
PLoS Comput. Biol., 2018

Concept and benchmark results for Big Data energy forecasting based on Apache Spark.
J. Big Data, 2018

Transfer Learning with Human Corneal Tissues: An Analysis of Optimal Cut-Off Layer.
CoRR, 2018

Reliable Dispatch of Renewable Generation via Charging of Dynamic PEV Populations.
CoRR, 2018

Digital Transformation in Airport Ground Operations.
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

Numerical Weather Prediction Data Free Solar Power Forecasting with Neural Networks.
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

Photovoltaic power forecasting using simple data-driven models without weather data.
Comput. Sci. Res. Dev., 2017

Nearest-Neighbor Based Non-Parametric Probabilistic Forecasting with Applications in Photovoltaic Systems.
CoRR, 2017

The MATLAB Toolbox SciXMiner: User's Manual and Programmer's Guide.
CoRR, 2017

3D Cell Nuclei Segmentation with Balanced Graph Partitioning.
CoRR, 2017

Charakterisierung der Fahrbahnbeschaffenheit durch Data Mining von gemessenen kinematischen Fahrzeuggrößen.
Autom., 2017

Prognose für preisbeeinflusstes Verbrauchsverhalten.
Autom., 2017

Ausgewählte Beiträge aus dem GMA-Fachausschuss 5.14 "Computational Intelligence".
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

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

Big Data: Perspektiven fuer Smart Grids und Smart Buildings.
CoRR, 2016

XPIWIT - an XML pipeline wrapper for the Insight Toolkit.
Bioinform., 2016

Automation strategies for large-scale 3D image analysis.
Autom., 2016

Einfluss von Trainingseffekten auf die Parameteradaption für Mensch-Maschine-Schnittstellen in der Medizintechnik.
Autom., 2016

Prof. Dr.-Ing. habil. Georg Bretthauer zum 70. Geburtstag.
Autom., 2016

Big Data & Automatisierung.
Autom., 2016

Generating semi-synthetic validation benchmarks for embryomics.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Fuzzy Control.
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

A Concept for the Control, Monitoring and Visualization Center in Energy Lab 2.0.
Proceedings of the Energy Informatics, 2015

An automated and high-throughput Photomotor Response platform for chemical screens.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Automated prior knowledge-based quantification of neuronal patterns in the spinal cord of zebrafish.
Bioinform., 2014

Data Mining zur Analyse der Auswirkungen von Preissignalen auf Haushaltsstromkunden.
Autom., 2014

Asphalt Image Miner: Ein Werkzeug zur automatischen Quantifizierung der Gesteinskörnungen in Asphaltproben.
Autom., 2014

Flexible diskret-kontinuierliche Überwachung und Regelung humanoider Roboter.
Autom., 2013

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

Data mining tools.
WIREs Data Mining Knowl. Discov., 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

Methods for Automated High-Throughput Toxicity Testing Using Zebrafish Embryos.
Proceedings of the KI 2010: Advances in Artificial Intelligence, 2010

Human-like reflexes for robotic manipulation using leaky integrate-and-fire neurons.
Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

Aus der Arbeit des GMA-FA 5.14 "Computational Intelligence".
Autom., 2009

Computational Intelligence (Fortsetzung).
Autom., 2009

Takagi-Sugeno-Kang Fuzzy Classifiers for a Special Class of Time-Varying Systems.
IEEE Trans. Fuzzy Syst., 2008

Computational Intelligence (Computational Intelligence).
Autom., 2008

Aktuelles aus dem GMA-FA 5.14 Computational Intelligence.
Autom., 2008

Data-Mining-Analysen mit der Matlab-Toolbox Gait-CAD (Data Mining Analyses with the Matlab Toolbox Gait-CAD).
Autom., 2008

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

A hydraulically driven multifunctional prosthetic hand.
Robotica, 2005

Interpretability issues in data-based learning of fuzzy systems.
Fuzzy Sets Syst., 2005

A cognitive architecture for a humanoid robot: a first approach.
Proceedings of the 5th IEEE-RAS International Conference on Humanoid Robots, 2005

Low-Level Finger Coordination for Compliant Anthropomorphic Robot Grippers.
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005

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

Fuzzy stability supervision of robot grippers.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2004

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

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