Colloquia Computer Science/Mini-Symposium: Data analysis, learning and related topics
Colloquium Computer Science
Mini-Symposium: Data analysis, learning and related topics
Thursday, November 27, 13:00 - 17:00
Room 5161.0280 (Bernoulliborg, 280)
On the occasion of the PhD defense of Gert-Jan de Vries (Nov. 28), we organize a mini-symposium about
Data analysis, learning and related topics
on Thursday the 27th of November.
Everybody is very welcome to attend the talks and join the discussions!
Tentative program, list of speakers and talks (30 min. + discussion)
12:59 Opening
13:00 Gyan Bhanot , Rutgers University, New Jersey, USA
Proofs from the book: Gödel, Gauss and Cantor – the math
they should teach in school
13:40 Joyce Westerink, Philips Research, Eindhoven, The Netherlands
Triangulation and ground truths in stress research
14:20 Coffee break
14:40 Thomas Villmann, Univ. of Applied Sciences Mittweida, Germany
Beyond accuracy – advanced classification by Learning Vector
Quantization
15:20 Kristin Domaschke, Life Science Incubator, Dresden, Germany
Classification of fluorescence spectra - first attempts in LVQ and
beyond
16:00 Coffee break
16:20 Thomas Martinetz
Adaptive hierarchical sensing
17:00 Closing
Last modified: | 10 February 2021 1.32 p.m. |
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