Dimitrios Michail retweeted
Predicting wildfires before they happen? That's SeasFire's objective.
SeasFire is initiative supported by @esa Φ-lab that uses satellite data and deep learning to forecast potential wildfires across Europe: philab.esa.int/where-theres-…
📸Unsplash/Mike Newbry
ALT Picture of a wildfire at night
Dimitrios Michail retweeted
[2/2]
✍ Authors: Nikolaos Ioannis Bountos @NikosGiannisB, Ioannis Papoutsis @yannispapoutsis, Dimitrios Michail @TheDMichail and Nantheera Anantrasirichai
🔗DOI: doi.org/10.1109/LGRS.2021.31…
#earthobservation #remotesensing #ai #Volcanoeruption #volcano
Dimitrios Michail retweeted
TeleViT "Teleconnection-driven Transformers Improve Subseasonal to Seasonal Wildfire Forecasting" won the Best Paper Award 🏆 at the Artificial Intelligence for Humanitarian Assistance and Disaster Response Workshop of @ICCVConference
#ICCV2023 🇫🇷
Dimitrios Michail retweeted
📚 Back from ICML with a summary of Graph ML papers! Latest about Graph Transformers, Theory, Generative Models, Geometry, Materials and Proteins, a few cool applications, and extra photos from Hawaii to make it less boring 🙂
mgalkin.medium.com/graph-mac…
Dimitrios Michail retweeted
📢Fresh from the press! The 1st DeepCube scientific publication👉ieeexplore.ieee.org/document…
A self-supervised learning framework for #volcanic activity detection globally. Excellent out-of-distribution generalization and application to the recent #Fagradalsfjall volcano #eruption🌋
Dimitrios Michail retweeted
Article in acm on the handy dandy jGraphT - A Java Library for Graph Data Structures and Algorithms - dl.acm.org/doi/abs/10.1145/3…
Dimitrios Michail retweeted
Does an open source project only become "legit" when there's an academic paper about it? Well if so, JGraphT is now legit. By any other measure, it's been a pretty darned good graph library for a long time. dl.acm.org/doi/pdf/10.1145/3…