Kontakt:
Zimmer: A 415
E-Mail: falko.lischke@htw-dresden.de
Telefon: +49 351 462 2695
Fax: +49 351 462 3671
M.Sc. Falko Lischke
Research interests
- Emotion Recognition
- Facial Emotion Recognition
- Audio-based Emotion Recognition
- Interest Estimation
- Machine Learning
- SVM, Decision Tree, Random Forest
- Neural Networks, Deep Learning
- Prototype-based Algorithms
Career history
Seit September 2015 | Wissenschaftlicher Mitarbeiter im Fachgebiet für künstliche Intelligenz an der HTW Dresden |
2013-2015 | Master-Studium der Angewandten Informationstechnologien an der HTW Dresden |
2008-2013 | Bachelor-Studium der Angewandten Informatik an der Hochschule Anhalt |
Publications
2018
F.Lischke, T. Neumann, S. Hellbach, T. Villmann, H.-J. Böhme. Direct Incorporation of L1-Regularization into Generalized Matrix Learning Vector Quantization. In International Conference on Artificial Intelligence and Soft Computing, pages 657-667. Springer, Cham., 2018. |
F.Lischke, T. Neumann, S. Hellbach, T. Villmann, H.-J. Böhme. Objective Feature Selection using GMLVQ with Directly IncorporatedL1-Regularization. In Machine Learning Reports 01/2018, pages 13-14, 2018. . |
2017
F. Lischke, F. Bahrmann, S. Hellbach and H.-J. Böhme. RoNiSCo: Robotic Night Shift Companion. In Machine Learning Reports 03/2017, pages 26-35, 2017. |
2016
F. Lischke, F. Bahrmann, S. Hellbach and H.-J. Böhme. RoNiSCo: Robotic Night Shift Companion. In Proceedings of the 19th Bilateral Student Workshop CTU Prague, pages 33-37. 2016. |
Pogrzeba, Loreen and Gassel, Stefanie and Friedrich, Jens and Klingner, Mathias, and Lischke, Falko and Hellbach, Sven and Neumann, Thomas and Böhme, Hans-Joachim and Wacker, Markus. Towards estimation of muscle activity patterns for balance assessment from surface deformations in motion. In Proc. Neuromechanics 2016. Ruprecht-Karls-Universität Heidelberg. 2016 |