Nathanael C. Yoder

Orcid: 0000-0003-4153-4722

According to our database¹, Nathanael C. Yoder authored at least 8 papers between 2020 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Bibliography

2024

Learned Feature Importance Scores for Automated Feature Engineering.

[BibT_eX]

[DOI]

CoRR, 2024

2023

TSMixer: An All-MLP Architecture for Time Series Forecast-ing.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

TSMixer: An all-MLP Architecture for Time Series Forecasting.

[BibT_eX]

[DOI]

CoRR, 2023

2022

Algorithmic fairness in pandemic forecasting: lessons from COVID-19.

[BibT_eX]

[DOI]

npj Digit. Medicine, 2022

Self-Adaptive Forecasting for Improved Deep Learning on Non-Stationary Time-Series.

[BibT_eX]

[DOI]

Sercan Ö. Arik

Nathanael C. Yoder

Tomas Pfister

CoRR, 2022

2021

A prospective evaluation of AI-augmented epidemiology to forecast COVID-19 in the USA and Japan.

[BibT_eX]

[DOI]

npj Digit. Medicine, 2021

2020

FilterNet: A Many-to-Many Deep Learning Architecture for Time Series Classification.

[BibT_eX]

[DOI]

Robert D. Chambers

Nathanael C. Yoder

Sensors, 2020

Interpretable Sequence Learning for COVID-19 Forecasting.

[BibT_eX]

[DOI]

CoRR, 2020

Nathanael C. Yoder

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