Top Tweets for #weaklySupervised
Look whose paper is Article of the week!!🤩
Many thanks to @IEEE_GRSS for promoting our work.
#AI #deeplearning #usupervised #semisupervised #weaklysupervised #selfsupervised #remotesensing #IEEE #GRSS #IEEEJSTARS
🆕 #GRSS Article of the Week
📒Journal: #IEEE JSTARS
👉 Title: Beyond Supervised Learning in Remote Sensing: A Systematic Review of Deep Learning Approaches
✍️Authors: @__Bennnn__, M. Mahdianpari, @Hemati_, A. Radman, F. Mohammadimanesh and J. Chanussot
🔗https://t.co/6kcFTDReuW
I've just read about 2016 CVPR, TransferNet. 😀
Learning Transferrable Knowledge for Semantic Segmentation with Deep Convolutional… https://t.co/txAYyeWnhv
#ArtificialIntelligence #DeepLearning #MachineLearning #SemanticSegmentation #WeaklySupervised #SemiSupervised
I've just read about 2015 ICCV. 😀
Weakly- and Semi-Supervised Learning of a Deep Convolutional Network for Semantic Image Segmentation
https://t.co/cKUgn6y6jT
#ArtificialIntelligence #DeepLearning #MachineLearning #ImageSegmentation #WeaklySupervised #SemiSupervised
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 🥳🥳🥳
https://t.co/yryU6vwLWM
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!
https://t.co/3wGCYyD2KL
Ever worked with high-dimensional #weaklysupervised data? You can check our (w\ @DCiucci) latest IJAR article on #featureselection for #supersetlearning, using #roughsets:
https://t.co/kVVce8jZij
Also, code on GitHub: https://t.co/2G5cWZGKJQ
3/3. Thibault Escobar et al., about #radiomic models #interpretability, and #MIL #voxelwise #weaklysupervised identification of tumor sub-regions associated to image-based #classification or #prediction: https://t.co/s4A85PevEN
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: https://t.co/1tgqlsqJGE
code: [coming up soon]
by Mingming Gong and Yanwu Xu!
#AAAI2020
Thanks to Katharina for giving the #DeepLearning lecture today!
Today's topics: #WeaklySupervised and #KnownOperatorLearning!
https://t.co/GxkIwhq5gZ
cc @SwissCognitive @DalithSteiger @FAU_Germany @antgrasso @Montreal_AI @Marktechpost @ipfconline1 @SpirosMargaris @alexjc
If u want to live in #australia for 3 years+generous travel and opex, supervise PhD students, sunshine beach all year, and conduct #ml #ai research on #spatiotemporal systems apply here: @CSIROMLAI #ArtificialIntelligence #MachineLearning #weaklysupervised https://t.co/MVRRbS0yDJ
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