Wolfgang Roth

Dipl.-Ing., BSc

20162019
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  • 3 Similar Profiles
Dirichlet Process Mathematics
Hybrid systems Engineering & Materials Science
Bayesian Networks Mathematics
Learning systems Engineering & Materials Science
Sharing Mathematics
Neural Networks Mathematics
Neural networks Engineering & Materials Science
Feedforward neural networks Engineering & Materials Science

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Research Output 2016 2019

  • 3 Conference contribution
  • 2 Article

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 proceedingConference contributionResearchpeer-review

Hybrid systems
Learning systems
Testing
Recurrent neural networks

Bayesian Neural Networks with Weight Sharing Using Dirichlet Processes

Roth, W. & Pernkopf, F., 6 Dec 2018, In : IEEE Transactions on Pattern Analysis and Machine Intelligence.

Research output: Contribution to journalArticleResearchpeer-review

Dirichlet Process
Bayesian Networks
Sharing
Neural Networks
Neural networks

Hybrid generative-discriminative training of Gaussian mixture models

Roth, W., Peharz, R., Tschiatschek, S. & Pernkopf, F., 1 Sep 2018, In : Pattern recognition letters. 112, p. 131-137 7 p.

Research output: Contribution to journalArticleResearchpeer-review

Covariance matrix
Maximum likelihood
Experiments
Statistical Models

Manual Versus Automated: The Challenging Routine of Infant Vocalisation Segmentation in Home Videos to Study Neuro(mal)development

Pokorny, F. B., Peharz, R., Roth, W., Zöhrer, M., Pernkopf, F., Marschik, P. B. & Schuller, B. W., 2016, Interspeech.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Variational Inference in Neural Networks using an Approximate Closed-Form Objective

Roth, W. & Pernkopf, F., 2016, Neural Information Processing Systems (NIPS) workshop.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review