Explaining Black-Box Models through Counterfactuals

Endogenous Macrodynamics in Algorithmic Recourse

Treat societally impactful scientific insights as open-source software artifacts

On the Strengths of Pure Evolutionary Algorithms in Generating Adversarial Examples

The power of deep without going deep? A study of HDPGMM music representation learning

Social Inclusion in Curated Contexts: Insights from Museum Practices

Scriptoria: A Crowd-powered Music Transcription System

What Are We Really Testing in Mutation Testing for Machine Learning? A Critical Reflection

ReproducedPapers.org: Openly Teaching and Structuring Machine Learning Reproducibility

Can't trust the feeling?: How open data reveals unexpected behavior of high-level music descriptors

Microtask crowdsourcing for music score Transcriptions: an experiment with error detection

Read/write digital libraries for musicology

Oracle Issues in Machine Learning and Where to Find Them

Interweaving and enriching digital music collections for scholarship, performance, and enjoyment

The influence of personal values on music taste: Towards value-based music recommendations

Spotivibes: Tagging playlist vibes with colors

Towards creating a non-synthetic group recommendation dataset

Beyond Explicit Reports: Comparing Data-Driven Approaches to Studying Underlying Dimensions of Music Preference

Transfer Learning of Artist Group Factors to Musical Genre Classification

Music in newspapers: Interdisciplinary opportunities and data-related challenges