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01/04/2023
Validity in Music Information Research Experiments
Validity is the truth of an inference made from evidence, such as data c...
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08/26/2022
Concept-Based Techniques for "Musicologist-friendly" Explanations in a Deep Music Classifier
Current approaches for explaining deep learning systems applied to music...
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05/24/2022
Defending a Music Recommender Against Hubness-Based Adversarial Attacks
Adversarial attacks can drastically degrade performance of recommenders ...
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07/19/2021
On the Veracity of Local, Model-agnostic Explanations in Audio Classification: Targeted Investigations with Adversarial Examples
Local explanation methods such as LIME have become popular in MIR as too...
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08/14/2020
The Impact of Label Noise on a Music Tagger
We explore how much can be learned from noisy labels in audio music tagg...
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07/29/2020
End-to-End Adversarial White Box Attacks on Music Instrument Classification
Small adversarial perturbations of input data are able to drastically ch...
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12/02/2019
scikit-hubness: Hubness Reduction and Approximate Neighbor Search
This paper introduces scikit-hubness, a Python package for efficient nea...
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09/07/2017