Julie Keisler

According to our database1, Julie Keisler authored at least 7 papers between 2024 and 2025.

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

Timeline

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PhD thesis 
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Links

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Bibliography

2025
AutoML Algorithms for Online Generalized Additive Model Selection: Application to Electricity Demand Forecasting.
CoRR, March, 2025

Automated Deep Learning: algorithms and software for energy sustainability. (Optimisation de réseaux de neurones: algorithmes et logiciel pour un système électrique durable).
PhD thesis, 2025

2024
An Algorithmic Framework for the Optimization of Deep Neural Networks Architectures and Hyperparameters.
J. Mach. Learn. Res., 2024

Automated Spatio-Temporal Weather Modeling for Load Forecasting.
CoRR, 2024

WindDragon: Enhancing wind power forecasting with Automated Deep Learning.
CoRR, 2024

A Bandit Approach with Evolutionary Operators for Model Selection.
CoRR, 2024

Automated Deep Learning for load forecasting.
Proceedings of the International Conference on Automated Machine Learning, 2024


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