Thomas Villmann is affiliated with Hochschule Mittweida in Germany and has made contributions primarily in the fields of Computer Science and Biochemistry, Genetics and Molecular Biology. Their research focuses extensively on Artificial Intelligence and Molecular Biology, with additional work in Computer Vision and Pattern Recognition, Control and Systems Engineering, and Computational Theory and Mathematics.
The scientist's main topics of work concentrate on Neural Networks and Applications, Machine Learning in Bioinformatics, Adversarial Robustness in Machine Learning, Machine Learning and Data Classification, Fractal and DNA sequence analysis, Anomaly Detection Techniques and Applications, and Fault Detection and Control Systems.
Frequent publication venues include:
Several recent papers illustrate their research outputs, such as:
Thomas Villmann collaborates frequently with several coauthors, including Marika Kaden, Sascha Saralajew, Katrin Sophie Bohnsack, Jensun Ravichandran, and Alexander Engelsberger. These collaborations have contributed to a consistent output of publications in key venues within their fields of study.
Barbara Hammer;Thomas Villmann
T. Villmann;R. Der;M. Herrmann;T.M. Martinetz
Thomas Villmann;Erzsébet Merényi;Barbara Hammer
Swen Hesse;Ulrich Müller;Ulrich Müller;Thomas Lincke;Henryk Barthel
H.-U. Bauer;T. Villmann
Barbara Hammer;Marc Strickert;Thomas Villmann
Marie Cottrell;Barbara Hammer;Alexander Hasenfuß;Thomas Villmann
Michael Biehl;Barbara Hammer;Thomas Villmann
H.-U. Bauer;M. Herrmann;T. Villmann
Kerstin Bunte;Petra Schneider;Barbara Hammer;Frank-Michael Schleif
M. Herrmann;Thomas Villmann
Petra Schneider;Kerstin Bunte;Han Stiekema;Barbara Hammer
Kerstin Bunte;Sven Haase;Michael Biehl;Thomas Villmann
Barbara Hammer;Marc Strickert;Thomas Villmann
Thomas Villmann;Sven Haase
Thomas Villmann;Jens Christian Claussen
Volker Slowik;Beate Villmann;Nick Bretschneider;Thomas Villmann
E. Mwebaze;P. Schneider;F. M. Schleif;J. R. Aduwo
M. Kaden;M. Lange;D. Nebel;M. Riedel
Thomas Villmann;Andrea Bohnsack;Marika Kaden
If you think any of the details on this page are incorrect, let us know.
Exploring computer science doesn't mean you have to follow the traditional, on-campus route. There are many flexible paths, including pursuing an online associate's degree in computer science or a related field. This option is ideal if you're just starting out or prefer a quicker, cost-effective entry into tech.
Cost is a major consideration for many students. Choosing one of the most affordable online colleges can help you earn your degree without overwhelming student debt.
Worried about your academic background? There are many online graduate schools with low gpa requirements that can help you continue your education and advance your career, even if your undergraduate grades weren’t perfect.
In addition to computer science, some degrees like environmental science also offer excellent prospects. You may be interested in the variety of high-paying jobs with environmental science degree if you want a multidisciplinary career blending technology, science, and sustainability.
University of California, San Diego
Norwegian University of Life Sciences
Fermilab
Utah State University
University of Tromsø - The Arctic University of Norway
University of Rochester
University of California, San Diego
Tohoku University
University of Washington
The Ohio State University
Duke University
University of Southern California
University of Lleida
SRI International
Sakarya University
University of Chicago
