Johanna Vielhaben

Orcid: 0000-0001-9399-5710

According to our database1, Johanna Vielhaben authored at least 13 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Decoupling Pixel Flipping and Occlusion Strategy for Consistent XAI Benchmarks.
Trans. Mach. Learn. Res., 2024

Explainable AI for time series via Virtual Inspection Layers.
Pattern Recognit., 2024

AudioMNIST: Exploring Explainable Artificial Intelligence for audio analysis on a simple benchmark.
J. Frankl. Inst., 2024

PURE: Turning Polysemantic Neurons Into Pure Features by Identifying Relevant Circuits.
CoRR, 2024

2023
Multi-dimensional concept discovery (MCD): A unifying framework with completeness guarantees.
Trans. Mach. Learn. Res., 2023

XAI-based Comparison of Input Representations for Audio Event Classification.
CoRR, 2023

XAI-based Comparison of Audio Event Classifiers with different Input Representations.
Proceedings of the 20th International Conference on Content-based Multimedia Indexing, 2023

2022
Sparse Subspace Clustering for Concept Discovery (SSCCD).
CoRR, 2022

PredDiff: Explanations and interactions from conditional expectations.
Artif. Intell., 2022

2021
Predicting the Binding of SARS-CoV-2 Peptides to the Major Histocompatibility Complex with Recurrent Neural Networks.
CoRR, 2021

2020
Generative Neural Samplers for the Quantum Heisenberg Chain.
CoRR, 2020

USMPep: universal sequence models for major histocompatibility complex binding affinity prediction.
BMC Bioinform., 2020

2019
Viewport Forecasting in 360° Virtual Reality Videos with Machine Learning.
Proceedings of the 2019 IEEE International Conference on Artificial Intelligence and Virtual Reality, 2019


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