Was ist EurOnet? - Wolfgang Roth; Walter Tietz (Elektron. Rechenanlagen, 1979)

Manual versus Automated: The Challenging Routine of Infant Vocalisation Segmentation in Home Videos to Study Neuro(mal)development. - Florian B. Pokorny; Robert Peharz; Wolfgang Roth; Matthias Zöhrer; Franz Pernkopf; Peter B. Marschik; Björn W. Schuller (INTERSPEECH, 2016)

Efficient and Robust Machine Learning for Real-World Systems. - Franz Pernkopf; Wolfgang Roth; Matthias Zöhrer; Lukas Pfeifenberger; Günther Schindler; Holger Fröning; Sebastian Tschiatschek; Robert Peharz; Matthew Mattina; Zoubin Ghahramani (CoRR, 2018)

Hybrid generative-discriminative training of Gaussian mixture models. - Wolfgang Roth; Robert Peharz; Sebastian Tschiatschek; Franz Pernkopf (Pattern Recognit. Lett., 2018)

Training Discrete-Valued Neural Networks with Sign Activations Using Weight Distributions. - Wolfgang Roth; Günther Schindler; Holger Fröning; Franz Pernkopf (ECML/PKDD (2), 2019)

Learning a Behavior Model of Hybrid Systems Through Combining Model-Based Testing and Machine Learning. - Bernhard K. Aichernig; Roderick Bloem; Masoud Ebrahimi 002; Martin Horn; Franz Pernkopf; Wolfgang Roth; Astrid Rupp; Martin Tappler; Markus Tranninger (ICTSS, 2019)

Learning a Behavior Model of Hybrid Systems Through Combining Model-Based Testing and Machine Learning (Full Version). - Bernhard K. Aichernig; Roderick Bloem; Masoud Ebrahimi 002; Martin Horn; Franz Pernkopf; Wolfgang Roth; Astrid Rupp; Martin Tappler; Markus Tranninger (CoRR, 2019)

Towards Real-Time Single-Channel Singing-Voice Separation with Pruned Multi-Scaled Densenets. - Markus Huber; Günther Schindler; Christian Schörkhuber; Wolfgang Roth; Franz Pernkopf; Holger Fröning (ICASSP, 2020)

Resource-Efficient DNNs for Keyword Spotting using Neural Architecture Search and Quantization. - David Peter; Wolfgang Roth; Franz Pernkopf (ICPR, 2020)

On Resource-Efficient Bayesian Network Classifiers and Deep Neural Networks. - Wolfgang Roth; Franz Pernkopf; Günther Schindler; Holger Fröning (ICPR, 2020)

Parameterized Structured Pruning for Deep Neural Networks. - Günther Schindler; Wolfgang Roth; Franz Pernkopf; Holger Fröning (LOD (2), 2020)

Differentiable TAN Structure Learning for Bayesian Network Classifiers. - Wolfgang Roth; Franz Pernkopf (PGM, 2020)

Resource-Efficient Neural Networks for Embedded Systems. - Wolfgang Roth; Günther Schindler; Matthias Zöhrer; Lukas Pfeifenberger; Robert Peharz; Sebastian Tschiatschek; Holger Fröning; Franz Pernkopf; Zoubin Ghahramani (CoRR, 2020)

Resource-Efficient Speech Mask Estimation for Multi-Channel Speech Enhancement. - Lukas Pfeifenberger; Matthias Zöhrer; Günther Schindler; Wolfgang Roth; Holger Fröning; Franz Pernkopf (CoRR, 2020)

Quantized Neural Networks for Radar Interference Mitigation. - Johanna Rock; Wolfgang Roth; Máté Tóth; Paul Meissner; Franz Pernkopf (CoRR, 2020)

Bayesian Neural Networks with Weight Sharing Using Dirichlet Processes. - Wolfgang Roth; Franz Pernkopf (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Resource-Efficient Deep Neural Networks for Automotive Radar Interference Mitigation. - Johanna Rock; Wolfgang Roth; Máté Tóth; Paul Meissner; Franz Pernkopf (IEEE J. Sel. Top. Signal Process., 2021)

End-to-End Keyword Spotting Using Neural Architecture Search and Quantization. - David Peter; Wolfgang Roth; Franz Pernkopf (ICASSP, 2022)

Resource-Efficient Neural Networks for Embedded Systems. - Wolfgang Roth; Günther Schindler; Bernhard Klein; Robert Peharz; Sebastian Tschiatschek; Holger Fröning; Franz Pernkopf; Zoubin Ghahramani (J. Mach. Learn. Res., 2024)