Verena Praher

According to our database, Verena Praher authored at least 17 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Constructing adversarial examples to investigate the plausibility of explanations in deep audio and image classifiers.

Katharina Hoedt, Verena Praher, Arthur Flexer, Gerhard Widmer

Neural Comput. Appl., May, 2023

2022

Concept-Based Techniques for "Musicologist-friendly" Explanations in a Deep Music Classifier.

Francesco Foscarin, Katharina Hoedt, Verena Praher, Arthur Flexer, Gerhard Widmer

CoRR, 2022

Concept-Based Techniques for "Musicologist-Friendly" Explanations in Deep Music Classifiers.

Francesco Foscarin, Katharina Hoedt, Verena Praher, Arthur Flexer, Gerhard Widmer

Proceedings of the 23rd International Society for Music Information Retrieval Conference, 2022

2021

Tracing Back Music Emotion Predictions to Sound Sources and Intuitive Perceptual Qualities.

Shreyan Chowdhury, Verena Praher, Gerhard Widmer

CoRR, 2021

On the Veracity of Local, Model-agnostic Explanations in Audio Classification: Targeted Investigations with Adversarial Examples.

Verena Praher, Katharina Prinz, Arthur Flexer, Gerhard Widmer

Proceedings of the 22nd International Society for Music Information Retrieval Conference, 2021

LEMONS: Listenable Explanations for Music recOmmeNder Systems.

Alessandro B. Melchiorre, Verena Haunschmid, Markus Schedl, Gerhard Widmer

Proceedings of the Advances in Information Retrieval, 2021

2020

Towards Musically Meaningful Explanations Using Source Separation.

Verena Haunschmid, Ethan Manilow, Gerhard Widmer

CoRR, 2020

audioLIME: Listenable Explanations Using Source Separation.

Verena Haunschmid, Ethan Manilow, Gerhard Widmer

CoRR, 2020

Receptive-Field Regularized CNNs for Music Classification and Tagging.

Khaled Koutini, Hamid Eghbal-Zadeh, Verena Haunschmid, Paul Primus, Shreyan Chowdhury, Gerhard Widmer

CoRR, 2020

On Data Augmentation and Adversarial Risk: An Empirical Analysis.

Hamid Eghbal-zadeh, Khaled Koutini, Paul Primus, Verena Haunschmid, Michal Lewandowski, Werner Zellinger, Bernhard Alois Moser, Gerhard Widmer

CoRR, 2020

Anomalous Sound Detection as a Simple Binary Classification Problem with Careful Selection of Proxy Outlier Examples.

Paul Primus, Verena Haunschmid, Patrick Praher, Gerhard Widmer

Proceedings of 5th the Workshop on Detection and Classification of Acoustic Scenes and Events 2020 (DCASE 2020), 2020

2019

Two-level Explanations in Music Emotion Recognition.

Verena Haunschmid, Shreyan Chowdhury, Gerhard Widmer

CoRR, 2019

Emotion and Theme Recognition in Music with Frequency-Aware RF-Regularized CNNs.

Khaled Koutini, Shreyan Chowdhury, Verena Haunschmid, Hamid Eghbal-Zadeh, Gerhard Widmer

Proceedings of the Working Notes Proceedings of the MediaEval 2019 Workshop, 2019

Towards Explainable Music Emotion Recognition: The Route via Mid-level Features.

Shreyan Chowdhury, Andreu Vall, Verena Haunschmid, Gerhard Widmer

Proceedings of the 20th International Society for Music Information Retrieval Conference, 2019

A DaQL to Monitor Data Quality in Machine Learning Applications.

Lisa Ehrlinger, Verena Haunschmid, Davide Palazzini, Christian Lettner

Proceedings of the Database and Expert Systems Applications, 2019

2017

An Evolutionary Stochastic-Local-Search Framework for One-Dimensional Cutting-Stock Problems.

Georgios C. Chasparis, Michael Rossbory, Verena Haunschmid

CoRR, 2017

2016

On the optimization of material usage in power transformer manufacturing.

Georgios C. Chasparis, Werner Zellinger, Verena Haunschmid, Markus Riedenbauer, Reinhard Stumptner

Proceedings of the 8th IEEE International Conference on Intelligent Systems, 2016