Top Tweets for #BASMLConf
(1/4) Could unsupervised classification be useful for your work? Here is my talk from the #BASMLConf:
https://t.co/w4pAR6auoA
Tags: @BAS_News @scotthosking @rachelafurner @emilyshuckburgh @Cambridge_Uni @AmidgeAndrew #BASAILab #AI #MachineLearning
Had a great time at #BASMLconf meeting lots of machine learning and environmental scientists. Clouds, networks, climate change and albatrosses - a wide topic range!
Wishing #BASMLconf participants all the best in developing the conversations and plans made over the past two days @BAS_News #MachineLearning for Environmental Science.
It’s been a really positive & fascinating couple of days @BAS_News’ #MachineLearning conference/#hackathon. Looking forward to the next one! #BASMLconf
The #BASMLconf ends with a fun hackathon exploring data and tools available. Thanks for a great day @scotthosking and for the great organisation. Till next time 👋🏽
The fun applications keep coming. Here using high-resolution satellite images (~30cm) to detect albatrosses in satellite images using conv nets. #BASMLconf
You can detect albatross from space! Great talk by Ellie Bowler from @uniofeastanglia showing automated detection using CNNs #BASMLconf
Now @ueaenv’s Ellie Bowler is presenting her #MachineLearning work @BAS_News’ #BASMLconf on “Using Deep Learning to Count Albatrosses from Space”
Great talk from @angharadstell on emulation of simulation models of global methane using Gaussian processes. Our understanding of global methane will probably increase great as she does more work 🤩 #BASMLconf
Using random forests to predict surface iodide levels with great results, shows lower errors and better calibration by @DrTomasS. Great opportunity forany other spatio-temporal models. #BASMLconf
Now @ACRG_Bris’ @angharadstell is presenting her work @BAS_News “Using Gaussian Process Emulation to Infer Methane Emissions” #BASMLconf #MachineLearning
And a really great talk by Leif Denby on using deep learning to describe the 'archetypes' of convective organisation i.e. the types of clouds we have and their reflective properties. Such a great application. 🤩 #BASMLconf
Another really fun and interesting talk @BAS_News from @SEELeeds’ Leif Denby “Unsupervised Classification of Convective Organisation with Deep Learning” #BASMLconf #MachineLearning
Attending the Machine Learning for Environmental Sciences workshop and hackathon at British Antarctic Survey. A wealth of learning materials exist. @BAS_News @NERCscience #BASMLconf
Day two and hackathon at the Machine Learning for Environmental Sciences workshop at British Antarctic Survey. A wealth of learning resources exist. @BAS_News @NERCscience #BASMLconf
Second day at ML and Envionmental science start off with Claire Montellioni @Climformatics expanding on all the types of data, looking for extremes and the breath of research questions for both climate and ML scientists. #BASMLconf
Really fascinating whirlwind tour of #climateinformatics from @CUEngineering’s Claire Monteleoni @BAS_News for #BASMLconf. Also highlighting that #IWCI is in Europe this year (Paris 2-4th Oct) - https://t.co/KVP4hM3cxg
Great to hear Claire Monteleoni from @CUBoulder talk about her work applying #ML for #climatechange science! #BASMLconf (keen eyed will also see our #ACSIS poster! @AtmosScience @NERCscience)
Second morning kicking off with fantastic talk from Claire Monteleoni introducing us to Climate Informatics #BASMLconf #climatechange #climateinformatics
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