Top Tweets for #AnalysisInMotion
Really excited to share this work with CMU and @PNNLab collaborators - cognitive models, automation, trust, transparency and UAV emulator. So much fun.
https://t.co/kBdrv95AIZ
#iccmpsyched #analysisinmotion
How do people decide whether to rely on machines rather than themselves? @leslieblaha created a computational model for that @socmathpsych #iccmpsyched https://t.co/7k3TWvwzRF
Speaking of humans and machines, want to know more about @PNNLab’s work exploring human-machine interactions? https://t.co/aUc36MixBq Check out this video with @leslieblaha from our #AnalysisInMotion Initiative. #machinelearning #cognitivemodels
Check out the new #analysisinmotion website, loaded with new facts, projects and streaming analytics software: https://t.co/ijaBRdUdWh
#AnalysisInMotion researchers Sarah Reehl, Karl Pazdernik & Bryan Stanfill joined material scientists from @UW and @boisestatelive at this week’s #MATDAT18 Materials & #DataScience #Hackathon, an #NSF-funded event | https://t.co/aGnEkX45Bi
What is #AnalysisInMotion? Learn more about how AIM is advancing interactive streaming analytics at scale at https://t.co/fI9Mw0tpS9 or tune into this #video with @PNNLab's @robjasper and Mark Greaves!
#AnalysisInMotion staff Sarah Reehl, Lisa Bramer & Bryan Stanfill had a paper accepted at @ChemCatChem, describing a new way to analyze electron microscopy experiments in real time. Learn about their Temporal Modeling for Streaming Analytics work @ https://t.co/ld0yRygTGj
This weekend @PNNLab’s @LeslieBlaha, Kris Cook, and Lindsey Franklin shared their work at this weekend’s ACM CHI Conference on Human Factors in Computing Systems. Way to go, Leslie and team! | #AnalysisInMotion #chi2018 https://t.co/Nmeyk1ofQO
#AnalysisInMotion researchers Sarah Reehl, Karl Pazdernik & Bryan Stanfill were invited to #MATDAT18, an NSF-funded hackathon where they will be working with material scientists from @UW and @BoiseStateLive. | https://t.co/aGnEkX45Bi
.@PNNLab & @WSUPullman researchers, sponsored by #AnalysisInMotion, recently demonstrated “Percolator”–a scalable system for discovering patterns in dynamic graphs—at the @WSDMSocial Conference. Read more at https://t.co/PMHjemWlM0
PNNL's #AnalysisInMotion #SAFE project releases open source #safekit anomaly detector using RNN. Check it out at https://t.co/QfyhlpFzTe
.@PNNLab invents new approach for fuzz testing interactive streaming analytics with a human in the loop #AnalysisInMotion | Joseph Cottam presenting at #HMData2017 #BigData2017
Thanks #WSU for giving me the opportunity to talk about #AnalysisInMotion and a chance to visit #Pullman.
What’s your definition of bias? @embwall presents 4 perspectives on bias impacting visual analytics @DECISIVe2017 #AnalysisInMotion
Lady scientist @embwall kicking off her first author paper! So proud to work with her. @ieeevis @GT_Vis #AnalysisInMotion
What do analysts need? Lyndsey Franklin explains a new visualization-supported alert management workflow @vizsec #AnalysisInMotion
What do analysts need? Lyndsey Franklin explains a new visualization-supported alert management workflow @vizsec #AnalysisInMotion
Excited for @ENERGY cyber director Gates to hear about #AnalysisInMotion cyber alert management workflow research from a @PNNLNatSec intern!
Joseph Cottam and @leslieblaha exploring if we can measure default UI bias from design choices @DECISIVe2017 #AnalysisInMotion
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