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Verena Haunschmid
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Conference and Workshop Papers
- 2021
- [c6]Alessandro B. Melchiorre, Verena Haunschmid, Markus Schedl, Gerhard Widmer:
LEMONS: Listenable Explanations for Music recOmmeNder Systems. ECIR (2) 2021: 531-536 - 2020
- [c5]Paul Primus, Verena Haunschmid, Patrick Praher, Gerhard Widmer:
Anomalous Sound Detection as a Simple Binary Classification Problem with Careful Selection of Proxy Outlier Examples. DCASE 2020: 170-174 - 2019
- [c4]Lisa Ehrlinger, Verena Haunschmid, Davide Palazzini, Christian Lettner:
A DaQL to Monitor Data Quality in Machine Learning Applications. DEXA (1) 2019: 227-237 - [c3]Shreyan Chowdhury, Andreu Vall, Verena Haunschmid, Gerhard Widmer:
Towards Explainable Music Emotion Recognition: The Route via Mid-level Features. ISMIR 2019: 237-243 - [c2]Khaled Koutini, Shreyan Chowdhury, Verena Haunschmid, Hamid Eghbal-Zadeh, Gerhard Widmer:
Emotion and Theme Recognition in Music with Frequency-Aware RF-Regularized CNNs. MediaEval 2019 - 2016
- [c1]Georgios C. Chasparis, Werner Zellinger, Verena Haunschmid, Markus Riedenbauer, Reinhard Stumptner:
On the optimization of material usage in power transformer manufacturing. IEEE Conf. on Intelligent Systems 2016: 680-685
Informal and Other Publications
- 2020
- [i9]Hamid Eghbal-zadeh, Khaled Koutini, Paul Primus, Verena Haunschmid, Michal Lewandowski, Werner Zellinger, Bernhard Alois Moser, Gerhard Widmer:
On Data Augmentation and Adversarial Risk: An Empirical Analysis. CoRR abs/2007.02650 (2020) - [i8]Khaled Koutini, Hamid Eghbal-Zadeh, Verena Haunschmid, Paul Primus, Shreyan Chowdhury, Gerhard Widmer:
Receptive-Field Regularized CNNs for Music Classification and Tagging. CoRR abs/2007.13503 (2020) - [i7]Verena Haunschmid, Ethan Manilow, Gerhard Widmer:
audioLIME: Listenable Explanations Using Source Separation. CoRR abs/2008.00582 (2020) - [i6]Verena Haunschmid, Ethan Manilow, Gerhard Widmer:
Towards Musically Meaningful Explanations Using Source Separation. CoRR abs/2009.02051 (2020) - [i5]Paul Primus, Verena Haunschmid, Patrick Praher, Gerhard Widmer:
Anomalous Sound Detection as a Simple Binary Classification Problem with Careful Selection of Proxy Outlier Examples. CoRR abs/2011.02949 (2020) - 2019
- [i4]Verena Haunschmid, Shreyan Chowdhury, Gerhard Widmer:
Two-level Explanations in Music Emotion Recognition. CoRR abs/1905.11760 (2019) - [i3]Shreyan Chowdhury, Andreu Vall, Verena Haunschmid, Gerhard Widmer:
Towards Explainable Music Emotion Recognition: The Route via Mid-level Features. CoRR abs/1907.03572 (2019) - [i2]Khaled Koutini, Shreyan Chowdhury, Verena Haunschmid, Hamid Eghbal-zadeh, Gerhard Widmer:
Emotion and Theme Recognition in Music with Frequency-Aware RF-Regularized CNNs. CoRR abs/1911.05833 (2019) - 2017
- [i1]Georgios C. Chasparis, Michael Rossbory, Verena Haunschmid:
An Evolutionary Stochastic-Local-Search Framework for One-Dimensional Cutting-Stock Problems. CoRR abs/1707.08776 (2017)
Coauthor Index
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