Ralf Mikut

ORCID

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 129

Top Venues

Dresden University of Technology, Germany (PHD)

Education History

Dresden University of Technology, Germany

PHD

Publications

Kaleb Phipps, Benedikt Heidrich, Marian Turowski, Moritz Wittig, Ralf Mikut, Veit Hagenmeyer
Generating probabilistic forecasts from arbitrary point forecasts using a conditional invertible neural network. Appl. Intell. 54 (8) (2024)
Simon Baeuerle, Marius Gebhardt, Jonas Barth, Ralf Mikut, Andreas Steimer
Rapid Flow Behavior Modeling of Thermal Interface Materials Using Deep Neural Networks. IEEE Access 12 (2024)
Miguel Molina-Moreno, Iván González-Díaz, Ralf Mikut, Fernando Díaz-de-María
A self-supervised embedding of cell migration features for behavior discovery over cell populations. Comput. Methods Programs Biomed. 255 (2024)
Johannes Seiffarth, Tim Scherr, Bastian Wollenhaupt, Oliver Neumann, Hanno Scharr, Dietrich Kohlheyer, Ralf Mikut, Katharina Nöh
ObiWan-Microbi: OMERO-based integrated workflow for annotating microbes in the cloud. SoftwareX 26 (2024)
Simon Baeuerle, Andreas Steimer, Ralf Mikut
Coverage Path Planning for Thermal Interface Materials. CoRR (2024)
Alina Pleli, Simon Baeuerle, Michel Janus, Jonas Barth, Ralf Mikut, Hendrik P. A. Lensch
Iterative Cluster Harvesting for Wafer Map Defect Patterns. CoRR (2024)
David Wölfle, Kevin Förderer, Tobias Riedel, Lukas Landwich, Ralf Mikut, Veit Hagenmeyer, Hartmut Schmeck
Open Energy Services - Forecasting and Optimization as a Service for Energy Management Applications at Scale. CoRR (2024)
Kaleb Phipps, Stefan Meisenbacher, Benedikt Heidrich, Marian Turowski, Ralf Mikut, Veit Hagenmeyer
Loss-Customised Probabilistic Energy Time Series Forecasts Using Automated Hyperparameter Optimisation. e-Energy (2023)
Matthias Hertel, Maximilian Beichter, Benedikt Heidrich, Oliver Neumann, Benjamin Schäfer, Ralf Mikut, Veit Hagenmeyer
Transformer training strategies for forecasting multiple load time series. Energy Inform. 6 (1) (2023)
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
CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting. CoRR (2023)
Oliver Neumann, Marian Turowski, Ralf Mikut, Veit Hagenmeyer, Nicole Ludwig
Using weather data in energy time series forecasting: the benefit of input data transformations. Energy Inform. 6 (1) (2023)
Marian Turowski, Oliver Neumann, Lisa Mannsperger, Kristof Kraus, Kira Layer, Ralf Mikut, Veit Hagenmeyer
Managing Anomalies in Energy Time Series for Automated Forecasting. EI.A (2023)
Kaleb Phipps, Benedikt Heidrich, Marian Turowski, Moritz Wittig, Ralf Mikut, Veit Hagenmeyer
Creating Probabilistic Forecasts from Arbitrary Deterministic Forecasts using Conditional Invertible Neural Networks. CoRR (2023)
Patricia M. Dold, Fabian Bleier, Meiko Boley, Ralf Mikut
Two-stage quality monitoring of a laser welding process using machine learning: An approach for fast yet precise quality monitoring. Autom. 71 (10) (2023)
Miguel Molina-Moreno, Marcel P. Schilling, Markus Reischl, Ralf Mikut
Automated Style-Aware Selection of Annotated Pre-Training Databases in Biomedical Imaging. ISBI (2023)
Angelo Jovin Yamachui Sitcheu, Nils Friederich, Simon Baeuerle, Oliver Neumann, Markus Reischl, Ralf Mikut
MLOps for Scarce Image Data: A Use Case in Microscopic Image Analysis. CoRR (2023)
Rafael Poppenborg, Kaleb Phipps, Hatem Khalloof, Kevin Förderer, Ralf Mikut, Veit Hagenmeyer
Dynamic Chromosome Interpretation in Evolutionary Algorithms for Distributed Energy Resources Scheduling. GECCO Companion (2023)
Nicole Merkle, Ralf Mikut
Context-Aware Composition of Agent Policies by Markov Decision Process Entity Embeddings and Agent Ensembles. CoRR (2023)
Stefan Meisenbacher, Benedikt Heidrich, Tim Martin, Ralf Mikut, Veit Hagenmeyer
AutoPV: Automated photovoltaic forecasts with limited information using an ensemble of pre-trained models. e-Energy (2023)
Yanke Wang, Christian Pylatiuk, Ralf Mikut, Ravindra Peravali, Markus Reischl
A fully automated touch-response behavior inspection pipeline on zebrafish larvae. Autom. 71 (10) (2023)
Benedikt Heidrich, Marian Turowski, Kaleb Phipps, Kai Schmieder, Wolfgang Süß, Ralf Mikut, Veit Hagenmeyer
Controlling non-stationarity and periodicities in time series generation using conditional invertible neural networks. Appl. Intell. 53 (8) (2023)
Johannes Galenzowski, Simon Waczowicz, Stefan Meisenbacher, Ralf Mikut, Veit Hagenmeyer
A Real-World District Community Platform as a Cyber-Physical-Social Infrastructure Systems in the Energy Domain. BuildSys@SenSys (2023)
Benedikt Heidrich, Kaleb Phipps, Oliver Neumann, Marian Turowski, Ralf Mikut, Veit Hagenmeyer
ProbPNN: Enhancing Deep Probabilistic Forecasting with Statistical Information. CoRR (2023)
Kaleb Phipps, Karl Schwenk, Benjamin Briegel, Ralf Mikut, Veit Hagenmeyer
Customized Uncertainty Quantification of Parking Duration Predictions for EV Smart Charging. IEEE Internet Things J. 10 (23) (2023)
Ralf Mikut, Andreas Kroll, Horst Schulte
Selected contributions from the Workshop "Computational Intelligence". Autom. 71 (10) (2023)
Dorina Werling, Maximilian Beichter, Benedikt Heidrich, Kaleb Phipps, Ralf Mikut, Veit Hagenmeyer
The Impact of Forecast Characteristics on the Forecast Value for the Dispatchable Feeder. e-Energy (Companion) (2023)
Dorina Werling, Maximilian Beichter, Benedikt Heidrich, Kaleb Phipps, Ralf Mikut, Veit Hagenmeyer
Automating Value-Oriented Forecast Model Selection by Meta-learning: Application on a Dispatchable Feeder. EI.A (2023)
Nils Friederich, Angelo Jovin Yamachui Sitcheu, Oliver Neumann, Süheyla Eroglu-Kayikçi, Roshan Prizak, Lennart Hilbert, Ralf Mikut
AI-based automated active learning for discovery of hidden dynamic processes: A use case in light microscopy. CoRR (2023)
Matthias Hertel, Maximilian Beichter, Benedikt Heidrich, Oliver Neumann, Benjamin Schäfer, Ralf Mikut, Veit Hagenmeyer
Transformer Training Strategies for Forecasting Multiple Load Time Series. CoRR (2023)
Moritz Böhland, Oliver Neumann, Marcel P. Schilling, Markus Reischl, Ralf Mikut, Katharina Löffler, Tim Scherr
ciscNet - A Single-Branch Cell Instance Segmentation and Classification Network. CoRR (2022)
Maximilian Beichter, Kaleb Phipps, Martha Maria Frysztacki, Ralf Mikut, Veit Hagenmeyer, Nicole Ludwig
Net load forecasting using different aggregation levels. Energy Inform. 5 (2022)
David Bethge, Philipp Hallgarten, Ozan Özdenizci, Ralf Mikut, Albrecht Schmidt, Tobias Grosse-Puppendahl
Exploiting Multiple EEG Data Domains with Adversarial Learning. EMBC (2022)
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
Predicting the power grid frequency of European islands. CoRR (2022)
Yanke Wang, Daniel Marcato, Vani Tirumalasetty, Naveen Krishna Kanagaraj, Christian Pylatiuk, Ralf Mikut, Ravindra Peravali, Markus Reischl
An Automated Experimentation System for the Touch-Response Quantification of Zebrafish Larvae. IEEE Trans Autom. Sci. Eng. 19 (4) (2022)
Baifan Zhou, Tim Pychynski, Markus Reischl, Evgeny Kharlamov, Ralf Mikut
Machine learning with domain knowledge for predictive quality monitoring in resistance spot welding. J. Intell. Manuf. 33 (4) (2022)
Peter Bretschneider, Ralf Mikut, Veit Hagenmeyer
Hardware-in-the-loop platforms for the automation and control of future energy systems. Autom. 70 (12) (2022)
David Bethge, Philipp Hallgarten, Tobias Grosse-Puppendahl, Mohamed Kari, Ralf Mikut, Albrecht Schmidt, Ozan Özdenizci
Domain-Invariant Representation Learning from EEG with Private Encoders. CoRR (2022)
Benedikt Heidrich, Lisa Mannsperger, Marian Turowski, Kaleb Phipps, Benjamin Schäfer, Ralf Mikut, Veit Hagenmeyer
Boost short-term load forecasts with synthetic data from transferred latent space information. Energy Inform. 5 (2022)
Yanke Wang, Naveen Krishna Kanagaraj, Christian Pylatiuk, Ralf Mikut, Ravindra Peravali, Markus Reischl
High-Throughput Data Acquisition Platform for Multi-Larvae Touch-Response Behavior Screening of Zebrafish. IEEE Robotics Autom. Lett. 7 (2) (2022)
Moritz Frahm, Felix Langner, Philipp Zwickel, Jörg Matthes, Ralf Mikut, Veit Hagenmeyer
How to Derive and Implement a Minimalistic RC Model from Thermodynamics for the Control of Thermal Parameters for Assuring Thermal Comfort in Buildings. OSMSES (2022)
Oliver Neumann, Marcel P. Schilling, Markus Reischl, Ralf Mikut
EasyMLServe: Easy Deployment of REST Machine Learning Services. CoRR (2022)
Stefan Meisenbacher, Marian Turowski, Kaleb Phipps, Martin Rätz, Dirk Müller, Veit Hagenmeyer, Ralf Mikut
Review of automated time series forecasting pipelines. WIREs Data Mining Knowl. Discov. 12 (6) (2022)
Marcel P. Schilling, Tim Scherr, Friedrich R. Münke, Oliver Neumann, Mark Schutera, Ralf Mikut, Markus Reischl
Automated Annotator Variability Inspection for Biomedical Image Segmentation. IEEE Access 10 (2022)
Friedrich Wiegel, Jan Wachter, Michael Kyesswa, Ralf Mikut, Simon Waczowicz, Veit Hagenmeyer
Smart Energy System Control Laboratory - a fully-automated and user-oriented research infrastructure for controlling and operating smart energy systems. Autom. 70 (12) (2022)
Katharina Löffler, Ralf Mikut
EmbedTrack - Simultaneous Cell Segmentation and Tracking Through Learning Offsets and Clustering Bandwidths. CoRR (2022)
Stefan Meisenbacher, Benedikt Heidrich, Tim Martin, Ralf Mikut, Veit Hagenmeyer
AutoPV: Automated photovoltaic forecasts with limited information using an ensemble of pre-trained models. CoRR (2022)
Moritz Frahm, Stefan Meisenbacher, Elena Klumpp, Ralf Mikut, Jörg Matthes, Veit Hagenmeyer
Multi-zone grey-box thermal building identification with real occupants. BuildSys@SenSys (2022)
Marian Turowski, Moritz Weber, Oliver Neumann, Benedikt Heidrich, Kaleb Phipps, Hüseyin Kemâl Çakmak, Ralf Mikut, Veit Hagenmeyer
Modeling and generating synthetic anomalies for energy and power time series. e-Energy (2022)
Katharina Löffler, Ralf Mikut
EmbedTrack - Simultaneous Cell Segmentation and Tracking Through Learning Offsets and Clustering Bandwidths. IEEE Access 10 (2022)
David Bethge, Philipp Hallgarten, Tobias Grosse-Puppendahl, Mohamed Kari, Ralf Mikut, Albrecht Schmidt, Ozan Özdenizci
Domain-Invariant Representation Learning from EEG with Private Encoders. ICASSP (2022)
David Bethge, Philipp Hallgarten, Ozan Özdenizci, Ralf Mikut, Albrecht Schmidt, Tobias Grosse-Puppendahl
Exploiting Multiple EEG Data Domains with Adversarial Learning. CoRR (2022)
Stefan Meisenbacher, Marian Turowski, Kaleb Phipps, Martin Rätz, Dirk Müller, Veit Hagenmeyer, Ralf Mikut
Review of automated time series forecasting pipelines. CoRR (2022)
Benedikt Heidrich, Nicole Ludwig, Marian Turowski, Ralf Mikut, Veit Hagenmeyer
Adaptively coping with concept drifts in energy time series forecasting using profiles. e-Energy (2022)
Marian Turowski, Benedikt Heidrich, Kaleb Phipps, Kai Schmieder, Oliver Neumann, Ralf Mikut, Veit Hagenmeyer
Enhancing anomaly detection methods for energy time series using latent space data representations. e-Energy (2022)
Simon Baeuerle, Marius Gebhardt, Jonas Barth, Andreas Steimer, Ralf Mikut
Rapid Flow Behavior Modeling of Thermal Interface Materials Using Deep Neural Networks. CoRR (2022)
Stefan Meisenbacher, Karl Schwenk, Johannes Galenzowski, Simon Waczowicz, Ralf Mikut, Veit Hagenmeyer
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 (2021)
Baifan Zhou, Yulia Svetashova, Andre Gusmao, Ahmet Soylu, Gong Cheng, Ralf Mikut, Arild Waaler, Evgeny Kharlamov
SemML: Facilitating development of ML models for condition monitoring with semantics. J. Web Semant. 71 (2021)
Mark Schutera, Frank M. Hafner, Jochen Abhau, Veit Hagenmeyer, Ralf Mikut, Markus Reischl
Cuepervision: self-supervised learning for continuous domain adaptation without catastrophic forgetting. Image Vis. Comput. 106 (2021)
Benedikt Heidrich, Andreas Bartschat, Marian Turowski, Oliver Neumann, Kaleb Phipps, Stefan Meisenbacher, Kai Schmieder, Nicole Ludwig, Ralf Mikut, Veit Hagenmeyer
pyWATTS: Python Workflow Automation Tool for Time Series. CoRR (2021)
Ralf Mikut, Andreas Kroll, Horst Schulte
Ausgewählte Beiträge aus dem GMA-Fachausschuss 5.14 "Computational Intelligence". Autom. 69 (10) (2021)
Oliver Neumann, Nicole Ludwig, Marian Turowski, Benedikt Heidrich, Veit Hagenmeyer, Ralf Mikut
Smart Data Representations: Impact on the Accuracy of Deep Neural Networks. CoRR (2021)
Simon Bäuerle, Moritz Böhland, Jonas Barth, Markus Reischl, Andreas Steimer, Ralf Mikut
CAD-to-real: enabling deep neural networks for 3D pose estimation of electronic control units. Autom. 69 (10) (2021)
Friedrich R. Münke, Marcel P. Schilling, Ralf Mikut, Markus Reischl
Evaluierung von Merkmalen zur Abbildung von Veränderungen in ungeordneten Bilddaten. Autom. 69 (10) (2021)
Moritz Weber, Marian Turowski, Hüseyin Kemâl Çakmak, Ralf Mikut, Uwe G. Kühnapfel, Veit Hagenmeyer
Data-Driven Copy-Paste Imputation for Energy Time Series. IEEE Trans. Smart Grid 12 (6) (2021)
Stefan Meisenbacher, Janik Pinter, Tim Martin, Veit Hagenmeyer, Ralf Mikut
Concepts for Automated Machine Learning in Smart Grid Applications. CoRR (2021)
Karl Schwenk, Stefan Meisenbacher, Benjamin Briegel, Tim Harr, Veit Hagenmeyer, Ralf Mikut
Integrating Battery Aging in the Optimization for Bidirectional Charging of Electric Vehicles. IEEE Trans. Smart Grid 12 (6) (2021)
Vinayak Sharma, Jorge Ángel González Ordiano, Ralf Mikut, Umit Cali
Probabilistic Solar Power Forecasting: Long Short-Term Memory Network vs Simpler Approaches. CoRR (2021)
Marcel P. Schilling, Luca Rettenberger, Friedrich R. Münke, Haijun Cui, Anna A. Popova, Pavel A. Levkin, Ralf Mikut, Markus Reischl
Label Assistant: A Workflow for Assisted Data Annotation in Image Segmentation Tasks. CoRR (2021)
Karl Schwenk, Kaleb Phipps, Benjamin Briegel, Veit Hagenmeyer, Ralf Mikut
A Benchmark for Parking Duration Prediction of Electric Vehicles for Smart Charging Applications. SSCI (2021)
Moritz Weber, Marian Turowski, Hüseyin Kemâl Çakmak, Ralf Mikut, Uwe G. Kühnapfel, Veit Hagenmeyer
Data-Driven Copy-Paste Imputation for Energy Time Series. CoRR (2021)
Mark Schutera, Mostafa Hussein, Jochen Abhau, Ralf Mikut, Markus Reischl
Night-to-Day: Online Image-to-Image Translation for Object Detection Within Autonomous Driving by Night. IEEE Trans. Intell. Veh. 6 (3) (2021)
Sourabh Bhide, Ralf Mikut, Maria Leptin, Johannes Stegmaier
Semi-Automatic Generation of Tight Binary Masks and Non-Convex Isosurfaces for Quantitative Analysis of 3D Biological Samples. CoRR (2020)
Ivan Kovynyov, Axel Buerck, Ralf Mikut
Design of Transformation Initiatives Implementing Organisational Agility - An Empirical Study. CoRR (2020)
Tim Scherr, Katharina Löffler, Moritz Böhland, Ralf Mikut
Cell Segmentation and Tracking using Distance Transform Predictions and Movement Estimation with Graph-Based Matching. CoRR (2020)
Sourabh Bhide, Ralf Mikut, Maria Leptin, Johannes Stegmaier
Semi-Automatic Generation Of Tight Binary Masks And Non-Convex Isosurfaces For Quantitative Analysis Of 3d Biological Samples. ICIP (2020)
Baifan Zhou, Yulia Svetashova, Seongsu Byeon, Tim Pychynski, Ralf Mikut, Evgeny Kharlamov
Predicting Quality of Automated Welding with Machine Learning and Semantics: A Bosch Case Study. CIKM (2020)
Benedikt Heidrich, Marian Turowski, Nicole Ludwig, Ralf Mikut, Veit Hagenmeyer
Forecasting energy time series with profile neural networks. e-Energy (2020)
Ralf Mikut
Maschinelles Lernen und Künstliche Intelligenz - Eine Revolution in der Automatisierungstechnik oder nur ein Hype? Autom. 68 (5) (2020)
Yulia Svetashova, Baifan Zhou, Tim Pychynski, Stefan Schmidt, York Sure-Vetter, Ralf Mikut, Evgeny Kharlamov
Ontology-Enhanced Machine Learning: A Bosch Use Case of Welding Quality Monitoring. ISWC (2) (2020)
Long Wang, Marian Turowski, Meng Zhang, Till Riedel, Michael Beigl, Ralf Mikut, Veit Hagenmeyer
Point and contextual anomaly detection in building load profiles of a university campus. ISGT-Europe (2020)
Tim Scherr, Karolin Streule, Andreas Bartschat, Moritz Böhland, Johannes Stegmaier, Markus Reischl, Véronique Orian-Rousseau, Ralf Mikut
BeadNet: deep learning-based bead detection and counting in low-resolution microscopy images. Bioinform. 36 (17) (2020)
Simon Baeuerle, Jonas Barth, Elton Renato Tavares de Menezes, Andreas Steimer, Ralf Mikut
CAD2Real: Deep learning with domain randomization of CAD data for 3D pose estimation of electronic control unit housings. CoRR (2020)
Moritz Böhland, Wolfgang Doneit, Lutz Gröll, Ralf Mikut, Markus Reischl
Automated design process for hybrid regression modeling with a one-class SVM. Autom. 67 (10) (2019)
Ralf Mikut, Andreas Kroll, Frank Hoffmann
Ausgewählte Beiträge aus dem GMA-Fachausschuss 5.14 "Computational Intelligence". Autom. 67 (10) (2019)
Markus Reischl, Mazin Jouda, Neil MacKinnon, Erwin Fuhrer, Natalia Bakhtina, Andreas Bartschat, Ralf Mikut, Jan G. Korvink
Motion prediction enables simulated MR-imaging of freely moving model organisms. PLoS Comput. Biol. 15 (12) (2019)
Andreas Bartschat, Markus Reischl, Ralf Mikut
Data mining tools. WIREs Data Mining Knowl. Discov. 9 (4) (2019)
Geoffroy Chaussonnet, Christian Lieber, Yikang Yan, Wenda Gu, Andreas Bartschat, Markus Reischl, Rainer Koch, Ralf Mikut, Hans-Jörg Bauer
Towards DeepSpray: Using Convolutional Neural Network to post-process Shadowgraphy Images of Liquid Atomization. CoRR (2019)
Andreas Bartschat, Stephan Allgeier, Tim Scherr, Johannes Stegmaier, Sebastian Bohn, Klaus-Martin Reichert, Arjan Kuijper, Markus Reischl, Oliver Stachs, Bernd Köhler, Ralf Mikut
Fuzzy tissue detection for real-time focal control in corneal confocal microscopy. Autom. 67 (10) (2019)
Karl Schwenk, Manuel Faix, Ralf Mikut, Veit Hagenmeyer, Riccardo Remo Appino
On Calendar-Based Scheduling for User-Friendly Charging of Plug-In Electric Vehicles. CAVS (2019)
Frank Hoffmann, Torsten Bertram, Ralf Mikut, Markus Reischl, Oliver Nelles
Benchmarking in classification and regression. WIREs Data Mining Knowl. Discov. 9 (5) (2019)
Mark Schutera, Stefan Elser, Jochen Abhau, Ralf Mikut, Markus Reischl
Strategies for supplementing recurrent neural network training for spatio-temporal prediction. Autom. 67 (7) (2019)
Tilman Daab, Isabel Patzer, Ralf Mikut, Tamim Asfour
Feature Space Exploration for Motion Classification Based on Multi-Modal Sensor Data for Lower Limb Exoskeletons. Humanoids (2019)
Jorge Ángel González Ordiano, Lutz Gröll, Ralf Mikut, Veit Hagenmeyer
Probabilistic Energy Forecasting using Quantile Regressions based on a new Nearest Neighbors Quantile Filter. CoRR (2019)
Jan Wachter, Ralf Mikut, Fabian Buse
Modeling and Force Control of a Terramechanical Wheel-Soil Contact for a Robotic Manipulator Used in the Planetary Rover Design Process. IROS (2019)
Karl Schwenk, Tim Harr, René Großmann, Riccardo Remo Appino, Veit Hagenmeyer, Ralf Mikut
Data-driven charging strategies for grid-beneficial, customer-oriented and battery-preserving electric mobility. CoRR (2019)
R. R. Appino, M. Muñoz-Ortiz, Jorge Ángel González Ordiano, Ralf Mikut, Veit Hagenmeyer, Timm Faulwasser
Reliable Dispatch of Renewable Generation via Charging of Dynamic PEV Populations. CoRR (2018)
Nadezhda Prodanova, Johannes Stegmaier, Stephan Allgeier, Sebastian Bohn, Oliver Stachs, Bernd Köhler, Ralf Mikut, Andreas Bartschat
Transfer Learning with Human Corneal Tissues: An Analysis of Optimal Cut-Off Layer. CoRR (2018)
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
EmbryoMiner: A new framework for interactive knowledge discovery in large-scale cell tracking data of developing embryos. PLoS Comput. Biol. 14 (4) (2018)
Jorge Ángel González Ordiano, Andreas Bartschat, Nicole Ludwig, Eric Braun, Simon Waczowicz, Nicolas Renkamp, Nico Peter, Clemens Düpmeier, Ralf Mikut, Veit Hagenmeyer
Concept and benchmark results for Big Data energy forecasting based on Apache Spark. J. Big Data 5 (2018)
Vinayak Sharma, Umit Cali, Veit Hagenmeyer, Ralf Mikut, Jorge Ángel González Ordiano
Numerical Weather Prediction Data Free Solar Power Forecasting with Neural Networks. e-Energy (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ralf Mikut