📄 New our preprint: Moving Beyond Spatial and Random Cross-Validation in Environmental Modelling: A Call for Prediction-Domain Adaptive Evaluation arxiv.org/abs/2605.136... #SpatialStats #Ecology #MachineLearning
Who's Who of AI
Jakub Nowosad
Why they matter
Researcher with public evidence across AI research.
- AI signals
- 1 past 30d
- Sources
- 1 distinct domains
- Discussões
- 0 past 30d
- Latest signal
- 5d ago
Computational geographer. Associate Professor at AMU, Poznan, Poland. Co-author of http://r.geocompx.org, http://py.geocompx.org, and http://tmap.geocompx.org books. #rstats #rspatial #geocompx
https://jakubnowosad.com/
What they're sharing
Moving beyond spatial and random cross-validation in environmental modelling: a call for prediction-domain adaptive evaluation arxiv.org
erdkunde.uni-bonn.de
4th ML4EO Keynote: Liar Liar: Rethinking Validation for Spatial Machine Learning by Jakub Nowosad youtu.be
Rethinking Validation for Spatial Machine Learning: Takeaways from the Talk – Thinking in spatial patterns jakubnowosad.com
Where your models can be trusted: evaluating spatial machine learning reliably jakubnowosad.com
Articles & links
🌍 New paper on key challenges in spatial machine learning! We discuss six major topics shaping the field: model validation, performance metrics, uncertainty quantification, algorithmic diversity, software implementation, and modeling protocols. www.erdkunde.uni-bonn.de/article…
🎥 The recording of my talk, “Rethinking Validation for Spatial Machine Learning,” at Machine Learning for Earth Observation (ML4EO) 2026 in Exeter, UK, is now online! 🌍 Watch it at youtu.be/swWqxLznbP4 #ML4EO #SpatialMachineLearning #EarthObservation
Notes from ML4EO 2026 🌍 A short blog post summarizing my talk and workshop from the ML4EO conference on spatial machine learning validation. jakubnowosad.com/posts/2026-0... #rspatial #EarthObservation #MachineLearning #RemoteSensing #GeoSpatial
🚦 New workshop from #ML4EO2026: "Where your models can be trusted" Learn how to evaluate spatial ML using kNNDM CV, Area of Applicability, and more. All with R examples. Materials: jakubnowosad.com/ml4eo2026wor.... #SpatialML #MachineLearning #RStats #RSpatial
Their network
In Jakub Nowosad's orbit
Center = Jakub Nowosad. Left = members they follow (green edges). Right = members who follow them (blue edges). Top = mutual follows (orange edges, slightly larger). Drag any node to reposition; click to open that profile.
Are you Jakub Nowosad? Show it.
Add the Who’s Who of AI badge to your site or bio. It links back to this profile.
Markdown: [](https://aiweekly.co/whos-who/person/jakubnowosad-com)