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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
About me
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Posts
Future Blog Post
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Blog Post number 4
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Blog Post number 3
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Blog Post number 2
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Blog Post number 1
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portfolio
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publications
A Hydrologic Functional Approach for Improving Large‐Sample Hydrology Performance in Poorly Gauged Regions
Published in Water Resources Research, 2021
Recommended citation: Janssen, J., & Ameli, A. A. (2021). A Hydrologic Functional Approach for Improving Large‐Sample Hydrology Performance in Poorly Gauged Regions. Water Resources Research, 57(9), e2021WR030263. https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2021WR030263
Assessment of Future Risks of Seasonal Municipal Water Shortages Across North America
Published in Frontiers in Earth Science, 2021
Recommended citation: Janssen, J., Radić, V., & Ameli, A. (2021). Assessment of Future Risks of Seasonal Municipal Water Shortages Across North America. Frontiers in Earth Science, 9, 730631. https://www.frontiersin.org/articles/10.3389/feart.2021.730631/
Snow persistence explains stream high flow and low flow signatures with differing relationships by aridity and climatic seasonality
Published in Hydrology and Earth System Sciences Discussions, 2022
Recommended citation: Le, E., Ameli, A., Janssen, J., & Hammond, J. (2022). Snow persistence explains stream high flow and low flow signatures with differing relationships by aridity and climatic seasonality. Hydrology and Earth System Sciences Discussions, 1-22. https://hess.copernicus.org/preprints/hess-2022-106/
Learning from limited temporal data: Dynamically sparse historical functional linear models with applications to Earth science
Published in Arxiv, 2023
Recommended citation: Janssen, J., Meng, S., Haris, A., Schrunner, S., Cao, J., Welch, W. J., ... & Ameli, A. A. (2023). Learning from limited temporal data: Dynamically sparse historical functional linear models with applications to Earth science. arXiv preprint arXiv:2303.06501. https://arxiv.org/abs/2303.06501
Ultra-marginal Feature Importance: Learning from Data with Causal Guarantees
Published in AISTATS, 2023
Recommended citation: Janssen, J., Guan, V., & Robeva, E. (2023, April). Ultra-marginal Feature Importance: Learning from Data with Causal Guarantees. In International Conference on Artificial Intelligence and Statistics (pp. 10782-10814). PMLR. https://proceedings.mlr.press/v206/janssen23a.html
How to out-perform default random forest regression: choosing hyperparameters for applications in large-sample hydrology
Published in arxiv, 2023
Recommended citation: Bilolikar, D. K., More, A., Gong, A., & Janssen, J. (2023). How to out-perform default random forest regression: choosing hyperparameters for applications in large-sample hydrology. arXiv preprint arXiv:2305.07136. https://arxiv.org/abs/2305.07136
A Gaussian Sliding Windows Regression Model for Hydrological Inference
Published in Arxiv, 2023
Recommended citation: Schrunner, S., Janssen, J., Jenul, A., Cao, J., Ameli, A. A., & Welch, W. J. (2023). A Gaussian Sliding Windows Regression Model for Hydrological Inference. arXiv preprint arXiv:2306.00453. https://arxiv.org/abs/2306.00453
A critical appraisal of water table depth estimation: Challenges and opportunities within machine learning
Published in eartharxiv, 2024
Recommended citation: Janssen, J., Tootchi, A., & Ameli, A. A. (2024). A critical appraisal of water table depth estimation: Challenges and opportunities within machine learning. https://eartharxiv.org/repository/view/7067/
Identifying Drift, Diffusion, and Causal Structure from Temporal Snapshots
Published in arxiv, 2024
Recommended citation: Guan, V., Janssen, J., Rahmani, H., Warren, A., Zhang, S., Robeva, E., & Schiebinger, G. (2024). Identifying Drift, Diffusion, and Causal Structure from Temporal Snapshots. arXiv preprint arXiv:2410.22729. https://arxiv.org/abs/2410.22729
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
EOSC 533: Advanced Groundwater Hydrology
Graduate course, University of British Columbia, Department of Earth, Ocean and Atmospheric Sciences, 2021
Helped students with MODFLOW labs, finite element problems, and basic groundwater problems
EOSC 118: Earth’s Treasures: Gold and Gems
TA, University of British Columbia, Department of Earth, Ocean and Atmospheric Sciences, 2022
Graded assigments and provided office hours for students who needed help with course material and assignments