MIN Faculty
Department of Informatics
Knowledge Technology

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This webpage is outdated and has moved. Please find the official Knowledge Technology page at:

https://www.inf.uni-hamburg.de/en/inst/ab/wtm/

Tobias Hinz, M.Sc.

PhD Student and Research Associate with Knowledge Technology Group

Contact Info

Address University of Hamburg
Department of Informatics
Vogt Koelln Str. 30
22527 Hamburg, Germany
Office: F-207
Phone: +49 40 428 83 2497
Fax: +49 40 428 83 2515
Email:


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You can find here ...


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Research Interests


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Short Curriculum Vitae

Since April 2017 Research Associate of Knowledge Technology Research Group
Department of Computer Science, University of Hamburg, Germany
January 2016 - March 2017 Student Assistent of Knowledge Technology Research Group
Department of Computer Science, University of Hamburg, Germany
November 2016 Master in Intelligent Adaptive Systems
Department of Computer Science, University of Hamburg, Germany
June 2014 Bachelor in Business Informatics
Department of Mathematics and Computer Science, University of Mannheim, Germany

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Thesis

Master thesis: An Evolutionary Approach to Optimize the Hyperparameters of Convolutional Neural Networks
Supervisor: Prof. Dr. Stefan Wermter, Department of Computer Science, University of Hamburg, Germany, November 2016.

 


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Publications

Wieser, I., Toprak, S., Grenzing, A., Hinz, T., Auddy, S., Karao─čuz, E.C., Chandran, A., Remmels, M., El Shinawi, A., Josifovski, J., Vankadara, L.C., Ul Wahab, F., Bahnemiri, A.M., Sahu, D., Heinrich, S., Navarro-Guerrero, N., Strahl, S., Twiefel, J., Wermter, S. A Robotic Home Assistant with Memory Aid Functionality. Joint German/Austrian Conference on Artificial Intelligence (K├╝nstliche Intelligenz), pp. 102-115, Klagenfurt, Austria, 2016.

 

In Okita S.Y. et al., editors, Proceedings of the Video Session of 25th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN 2016), p. 369, New York City, USA, August 2016.

 

Hinz, T., Barros, P., and Wermter, S. The Effects of Regularization on Learning Facial Expressions with Convolutional Neural Networks. Proceedings of the 25th International Conference on Artificial Neural Networks (ICANN2016), Part II, LNCS 9887, pp. 80-87, Barcelona, Spain, 2016.