Dimitrios Michail

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-s… 📸Unsplash/Mike Newbry

[2/2] ✍ Authors: Nikolaos Ioannis Bountos @NikosGiannisB, Ioannis Papoutsis @yannispapoutsis, Dimitrios Michail @TheDMichail and Nantheera Anantrasirichai 🔗DOI: doi.org/10.1109/LGRS.2… #earthobservation #remotesensing #ai #Volcanoeruption #volcano

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 🇫🇷

📚 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-machine-…

📢Fresh from the press! The 1st DeepCube scientific publication👉ieeexplore.ieee.org/document/95172… A self-supervised learning framework for #volcanic activity detection globally. Excellent out-of-distribution generalization and application to the recent #Fagradalsfjall volcano #eruption🌋

The release of #Java16 is cause for celebration! Join @nipafx this Tuesday for his Java 16 Release Party, where he’ll have special guests on to discuss the latest features. social.ora.cl/6011HUV4P 📅 March 16, 2021 at 1 p.m. ET

Happy to announce the availability of JGraphT in the Python ecosystem. @dimitrios.michail/announcing-the-python-bindings-of-jgrapht-918d0cf386de" target="_blank" rel="nofollow noopener">medium.com/@dimitrios.mic… #jgrapht #Networks #Graphs #Python #Bindings

Article in acm on the handy dandy jGraphT - A Java Library for Graph Data Structures and Algorithms - dl.acm.org/doi/abs/10.114…

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/10.114…