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08/31/2023
The Biased Journey of MSD_AUDIO.ZIP
The equitable distribution of academic data is crucial for ensuring equa...
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08/16/2023
Endogenous Macrodynamics in Algorithmic Recourse
Existing work on Counterfactual Explanations (CE) and Algorithmic Recour...
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08/14/2023
Explaining Black-Box Models through Counterfactuals
We present CounterfactualExplanations.jl: a package for generating Count...
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02/20/2023
Registered Report : Perception of Other's Musical Preferences Based on Their Personal Values
The present work is part of a research line seeking to uncover the myste...
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02/11/2023
Treat societally impactful scientific insights as open-source software artifacts
So far, the relationship between open science and software engineering e...
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09/01/2022
Hidden Author Bias in Book Recommendation
Collaborative filtering algorithms have the advantage of not requiring s...
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05/10/2022
Social Inclusion in Curated Contexts: Insights from Museum Practices
Artificial intelligence literature suggests that minority and fragile co...
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03/01/2021
What Are We Really Testing in Mutation Testing for Machine Learning? A Critical Reflection
Mutation testing is a well-established technique for assessing a test su...
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12/15/2020
Run, Forest, Run? On Randomization and Reproducibility in Predictive Software Engineering
Machine learning (ML) has been widely used in the literature to automate...
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04/15/2019
Are Nearby Neighbors Relatives?: Diagnosing Deep Music Embedding Spaces
Deep neural networks have frequently been used to directly learn represe...
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05/05/2018
Transfer Learning of Artist Group Factors to Musical Genre Classification
The automated recognition of music genres from audio information is a ch...
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02/12/2018
One Deep Music Representation to Rule Them All? : A comparative analysis of different representation learning strategies
Inspired by the success of deploying deep learning in the fields of Comp...
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02/02/2018
