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Computer Science

D-Index
37
Citations
6317
World Ranking
10690
National Ranking
535

Overview

Ralf Mikut is affiliated with the Karlsruhe Institute of Technology in Germany, focusing research primarily within the field of engineering.

Their work encompasses various subfields including:

  • Electrical and Electronic Engineering
  • Molecular Biology
  • Biophysics
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence

Research topics covered include:

  • Energy Load and Power Forecasting
  • Cell Image Analysis Techniques
  • Smart Grid Energy Management
  • Image Processing Techniques and Applications
  • Single-cell and Spatial Transcriptomics
  • Time Series Analysis and Forecasting
  • Stock Market Forecasting Methods

Frequent publication venues where Ralf Mikut's work appears are:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Zenodo (CERN European Organization for Nuclear Research)
  • at - Automatisierungstechnik
  • Repository KITopen (Karlsruhe Institute of Technology)

Some recent papers include:

  • The Cell Tracking Challenge: 10 years of objective benchmarking, 2023, Nature Methods
  • The effect of lipidation and glycosylation on short cationic antimicrobial peptides, 2020, Biochimica et Biophysica Acta (BBA) - Biomembranes
  • Machine learning with domain knowledge for predictive quality monitoring in resistance spot welding, 2022, Journal of Intelligent Manufacturing
  • Cell segmentation and tracking using CNN-based distance predictions and a graph-based matching strategy, 2020, PLoS ONE
  • Night-to-Day: Online Image-to-Image Translation for Object Detection Within Autonomous Driving by Night, 2020, IEEE Transactions on Intelligent Vehicles

Notable frequent co-authors associated with Ralf Mikut include:

  • Veit Hagenmeyer
  • Tim Scherr
  • Markus Reischl
  • Kaleb Phipps
  • Benedikt Heidrich

Best Publications

  • Fuzzy Control

    Unknown

  • An objective comparison of cell-tracking algorithms

    Vladimír Ulman;Martin Maška;Klas E G Magnusson;Olaf Ronneberger

  • Zebrafish embryos as models for embryotoxic and teratological effects of chemicals

    Lixin Yang;Nga Yu Ho;Rüdiger Alshut;Jessica Legradi

  • Data mining tools

    Ralf Mikut;Markus Reischl

  • Real-Time Three-Dimensional Cell Segmentation in Large-Scale Microscopy Data of Developing Embryos.

    Johannes Stegmaier;Johannes Stegmaier;Fernando Amat;William C. Lemon;Katie McDole

  • Interpretability issues in data-based learning of fuzzy systems

    Ralf Mikut;Jens Jäkel;Lutz Gröll

  • Identification of Nonvisual Photomotor Response Cells in the Vertebrate Hindbrain

    David Kokel;David Kokel;Timothy W. Dunn;Misha B. Ahrens;Rüdiger Alshut

  • On the use of probabilistic forecasts in scheduling of renewable energy sources coupled to storages

    Riccardo Remo Appino;Jorge Ángel González Ordiano;Ralf Mikut;Timm Faulwasser

  • Fast segmentation of stained nuclei in terabyte-scale, time resolved 3D microscopy image stacks.

    Johannes Stegmaier;Jens C. Otte;Andrei Kobitski;Andreas Bartschat

  • A cognitive architecture for a humanoid robot: a first approach

    C. Burghart;R. Mikut;R. Stiefelhagen;T. Asfour

  • Automated processing of zebrafish imaging data - a survey

    Ralf Mikut;Thomas Dickmeis;Wolfgang Driever;Pierre Geurts

  • Automated feature assessment in instrumented gait analysis

    Sebastian Wolf;Tobias Loose;Matthias Schablowski;Leonhard Döderlein

  • Cell segmentation and tracking using CNN-based distance predictions and a graph-based matching strategy

    Tim Scherr;Katharina Löffler;Moritz Böhland;Ralf Mikut

  • Night-to-Day: Online Image-to-Image Translation for Object Detection Within Autonomous Driving by Night

    Mark Schutera;Mostafa Hussein;Jochen Abhau;Ralf Mikut

  • A hydraulically driven multifunctional prosthetic hand

    Stefan Schulz;Christian Pylatiuk;Markus Reischl;Jan Martin

  • Automatic Zebrafish Heartbeat Detection and Analysis for Zebrafish Embryos

    Christian Pylatiuk;Daniela Sanchez;Ralf Mikut;Ruediger Alshut

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

    Moritz Weber;Marian Turowski;Huseyin K. Cakmak;Ralf Mikut

  • Information and communication technology in energy lab 2.0: Smart energies system simulation and control center with an open-street-map-based power flow simulation example

    Veit Hagenmeyer;Hüseyin Kemal Çakmak;Clemens Düpmeier;Timm Faulwasser

  • An ensemble-averaged, cell density-based digital model of zebrafish embryo development derived from light-sheet microscopy data with single-cell resolution

    Andrei Y. Kobitski;Jens C. Otte;Masanari Takamiya;Benjamin Schäfer

  • Improving short antimicrobial peptides despite elusive rules for activity.

    Ralf Mikut;Serge Ruden;Markus Reischl;Frank Breitling

  • Integrating Battery Aging in the Optimization for Bidirectional Charging of Electric Vehicles

    Karl Schwenk;Stefan Meisenbacher;Benjamin Briegel;Tim Harr

  • Energy forecasting tools and services

    Jorge Ángel González Ordiano;Simon Waczowicz;Veit Hagenmeyer;Ralf Mikut

Frequent Co-Authors

Uwe Strähle
Uwe Strähle Karlsruhe Institute of Technology
Frank Hoffmann
Frank Hoffmann TU Dortmund University
Peter N. Golyshin
Peter N. Golyshin Bangor University
David Liebetanz
David Liebetanz University of Göttingen
Peter Sanders
Peter Sanders Karlsruhe Institute of Technology
Tanja Schultz
Tanja Schultz University of Bremen
Nicholas S. Foulkes
Nicholas S. Foulkes Karlsruhe Institute of Technology
Jörg Matthes
Jörg Matthes University of Vienna
Evgeny Kharlamov
Evgeny Kharlamov University of Oslo
Eyke Hüllermeier
Eyke Hüllermeier Ludwig-Maximilians-Universität München

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