
Francesco Martinuzzi
@martinuzzifra
PhD Researcher in Physics and Earth Sciences @Sca_DS and @Rsc4Earth | @isp_uv_es | @ELLISforEurope
ID: 3021801467
https://martinuzzifrancesco.github.io/ 06-02-2015 17:48:44
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🔎Have a look at the ScaDS.AI Summer School 2024 speakers in the field of Earth and Environmental Sciences and AI. We are pleased to welcome: Prof. Jonathan Bedford, Lily-belle Sweet, Josefine Umlauft, Dr. Christopher W. Johnson and Dr. Willy Schimmel. 👉scads.ai/education/summ…




Francesco Martinuzzi and I have updated #spyndex, #spectral, and #SpectralIndices.jl so now you have the new spectral indices in #Python, #JuliaLang and the #GEE Code Editor! 😉 🐍 Python: github.com/awesome-spectr… 🟣 Julia: github.com/awesome-spectr… 🌍 GEE: github.com/awesome-spectr…


And another day with a great workshop on #AwesomeSpectralIndices here in Tartu 🇪🇪 #FOSS4GE2024! 🥳 Thank you very much to all participants for the nice time and the insightful discussion! Francesco Martinuzzi @Rsc4Earth iDiv Biodiversity Research UNIVERSITÄT LEIPZIG @GoogleDevEurope


Very thankful to have been given the opportunity to showcase SpectralIndices.jl in the ASI workshop at FOSS4G Europe! 🎉 Tomorrow I will present the library in depth, with some more discussion about its potential applications to machine learning: isprs-archives.copernicus.org/articles/XLVII…

🔥New preprint🔥 "A Sensitivity Analysis of Cellular Automata and Heterogeneous Topology Networks: Partially-Local CA and Homogeneous Homogeneous RBNs" arxiv.org/abs/2407.18017 led by TomEivindGlover, with Ruben Jahren, Francesco Martinuzzi, P. Lind and myself



🔥New paper🔥 A sensitivity analysis of cellular automata and heterogeneous topology networks: partially-local CA and homogeneous homogeneous random boolean networks tandfonline.com/doi/full/10.10… Led by TomEivindGlover , w/ Ruben Jahren, Francesco Martinuzzi, P. Lind & me Høgskolen i Østfold


To get 2 reviewers per paper at Environmental Data Science, I have to invite >20. Meanwhile, I get daily review requests I have to decline—already committed to project and tenure reviews + journal duties. So I can't blame anyone, but how do we fix this unsustainable system??? #PeerReview



Generating cat videos is nice, but what if you could tackle real scientific problems with the same methods? 🧪🌌 Introducing The Well: 16 datasets (15TB) for Machine Learning, from astrophysics to fluid dynamics and biology. 🐙: github.com/PolymathicAI/t… 📜: openreview.net/pdf?id=00Sx577…


New article: Earth System Data Cubes: Avenues for advancing Earth system research 👉 bit.ly/40CAVAP David Montero Loaiza, Miguel Mahecha, Guido Kraemer, Anca Anghelea, Felix Cremer, Chaonan Ji, Teja Kattenborn, Laura Martínez Ferrer, Francesco Martinuzzi, Maximilian Söchting, khalil teber #AI #datacubes


🚨 New paper out in Nature Communications We review how #AI is transforming modeling & understanding extreme weather & climate events like floods, heatwaves, and wildfires📷 🔗Read it! isp-uv.short.gy/AIforExtremeEv…



