Franz Pernkopf

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4 Similar Profiles

Sound recording Engineering & Materials Science

Acoustic waves Engineering & Materials Science

Recurrent neural networks Engineering & Materials Science

Neural networks Engineering & Materials Science

Acoustics Engineering & Materials Science

Hybrid systems Engineering & Materials Science

Refractory materials Engineering & Materials Science

Data mining Engineering & Materials Science

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Research Output 1999 2019

Learning a Behavior Model of Hybrid Systems Through Combining Model-Based Testing and Machine Learning

Aichernig, B. K., Bloem, R., Ebrahimi, M., Horn, M., Pernkopf, F., Roth, W., Rupp, A., Tappler, M. & Tranninger, M., 2019, Testing Software and Systems: 31st IFIP WG 6.1 International Conference, ICTSS 2019, Paris, France, October 15–17, 2019, Proceedings. Gaston, C., Kosmatov, N. & Le Gall, P. (eds.). Cham: Springer International Publishing AG , p. 3-21 19 p. (Lecture Notes in Computer Science; vol. 11812).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Hybrid systems

Learning systems

Testing

Recurrent neural networks

Optimisation of Overparametrized Sum-Product Networks

Trapp, M., Peharz, R. & Pernkopf, F., Jun 2019.

Research output: Contribution to conference › Paper › Research › peer-review

Acoustic Scene Classification Using A Convolutional Neural Network Ensemble and Nearest Neighbor Filters

Nguyen, T. K. T. & Pernkopf, F., 20 Nov 2018.

Research output: Contribution to conference › Poster › Research › peer-review

File

Acoustics

Neural networks

Acoustic waves

Acoustic Scene Classification Using A Convolutional Neural Network Ensemble and Nearest Neighbor Filters

Nguyen, T. K. T. & Pernkopf, F., 2018, Workshop on Detection and Classification of Acoustic Scenes and Events.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Advanced data mining for process optimizations and use of ai to predict refractory wear and to analyze refractory behavior

Lammer, G., Lanzenberger, R., Rom, A., Hanna, A., Forrer, M., Feuerstein, M., Pernkopf, F. & Mutsam, N., 1 Sep 2018, In : Iron & Steel Technology. 15, 9, p. 52-60 9 p.

Research output: Contribution to journal › Article › Research › peer-review

Refractory materials

Data mining

Wear of materials

Artificial intelligence

Iron and steel plants