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Data vis-à-vis science. Award winning researcher. Rejected by all the top conferences. I've been called the Taylor Swift of data viz.

DC
Joined October 2010
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New guidelines for using t-SNE, and evaluation of prior guidelines. And ✨NEW✨: Auto t-SNE, a neural network system to automatically find good perplexity, learning rate, and exaggeration! 📈 Paper: osf.io/6t5ax/ Blog: twosixtech.com/new-guidance-… (1/9)
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I'm curious how this new Rick & Morty/The Walking Dead crossover series is going to turn out
The 2022 Symposium on #DataVisualization for #cybersecurity is only 16 days away. Looking forward to seeing you all on Wednesday, Oct. 19th, 9am - 3:15pm (UTC-5). If you're attending @ieeevis in @cityofokc you'll find us in the Pinon room #VizSec #ieeevis
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Our team is looking for Fall and Winter #dataviz engineering interns! Are you interested in building on and leveraging your engineering toolkit to serve mission-driven clients working to make the world a better place? Then we may have a role for you!👇 graphicacy.com/data-visualiz…
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The #VizSec 2022 deadline is approaching: **June, 22 for full, short, and position papers** Did you know that all past programs & papers are listed on vizsec.org/past/ & vizsec.dbvis.de/ ? These are great resources for writing a position paper. More about that👇🏼🧵
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Mathematics, computer programming, engineering, motion, creativity. This is a linkage-mechanism for converting binary numbers to decimal numbers. Created by 上木 敬士郎/Keishiro Ueki, @KeishiroUeki, bit.ly/3Nme97e
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COVID cases are up, so the Biden Admin is making more free COVID tests available -- 8 per household, delivered to your door, free of charge. Just go to COVID.gov. It takes less than 1 minute to order.
Americans can now order up to 8 additional free coronavirus tests from the government online. How to get them 👇trib.al/gzBeUwz
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Today we're featuring #VizSec 2021's best paper: 🏆Automatic Narrative Summarization for Visualizing Cyber Security Logs and Incident Reports🏆 by @rpgove 👇🏼
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Coming up in a couple hours, I'm presenting our Auto t-SNE work at Vis Meets AI @PacificVis! Interested in #visualization meets #machinelearning? Watch the presentation! pvis2022.github.io/pvis2022/… Or read a sneak peak blog post: twosixtech.com/new-guidance-…
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For the #tsne #machinelearning #dataviz users: our new guidelines for using t-SNE can help you get better visualizations! twosixtech.com/new-guidance-… We'll present this work in 2 weeks at Visualization Meets AI @PacificVis!
New guidelines for using t-SNE, and evaluation of prior guidelines. And ✨NEW✨: Auto t-SNE, a neural network system to automatically find good perplexity, learning rate, and exaggeration! 📈 Paper: osf.io/6t5ax/ Blog: twosixtech.com/new-guidance-… (1/9)
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In summary: * Use OpenTSNE * If not using OpenTSNE, use perplexity=16, learning rate=10, exaggeration=1 * Learning rate = n/12 is also good * Keep perplexity in 2-16, learning rate in 10-640, and exaggeration in 1-8 Our paper has lots more detail! osf.io/6t5ax/ (8/9)
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We will present this work on April 11 at Visualization Meets AI, part of @PacificVis. It will appear in a special issue of the Journal of Visual Informatics vismeetsai.github.io/ (9/9)
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