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#datascience #weaklysupervised A Brief Introduction to Weakly Supervised Object Detection dlvr.it/Sddwnv


A good year for conferences indeed! Our new paper (w\ @DCiucci ), on #featureselection for fuzzy labeled data (a type of #weaklysupervised data) using #roughsettheory, has won the Best Student Paper award #IJCRS2021 🥳🥳🥳 link.springer.com/chapter/10.100…

Despite the inconvenience of being remote, this seems to be a good year for conference presentations 😎 After winning Best Presenter Award @ #ICMHI2021, now also a Best Student Paper Award #CBMS2021 w\ @cabitzaf , @lorenzofamigli1 & Giorgio Bini! 🎉🥳🎉🥳🎉🥳🎉



My first solo article @FuzzIEEE2021 is finally out! If you're interested in #MachineLearning theory, #weaklysupervised and #fuzzylogic check it out! ieeexplore.ieee.org/document/94945…


RT Weekly Supervised Learning — Getting started with unstructured data dlvr.it/RjNttK #datascience #machinelearning #weaklysupervised #unstructureddata

DrMattCrowson's tweet image. RT  Weekly Supervised Learning — Getting started with unstructured data dlvr.it/RjNttK #datascience #machinelearning #weaklysupervised #unstructureddata

3/n How to #WeaklySupervised learn from noisy and weak annotation (so-called complementary labels) that we usually discard by combining generative and discriminative paradigm: paper: lnkd.in/efrWnUw code: [coming up soon] by Mingming Gong and Yanwu Xu! #AAAI2020


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