wwydmanski @wwydmanski@qoto.org
AI guy. Tooting interesting publications and statistics that catch my eye
Joined May 2021
Some things are unchanging, though - Communications Biology is still categorized under theological sciences
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RT @valentyn_bez
How bad science is in Poland on the brink of 2022 AD?
The official evaluation of scientific achievements changes overnight on 30th of December without any announcement.
Thank you, minister of education @CzarnekP! https://twitter.com/ekulczycki/status/1476869900421447701
https://twitter.com/valentyn_bez/status/1476915816138514445
I'm grateful to be a part of @pawel_labaj's team, and I'm happy to say that we were granted the Award of the City of Kraków for the efforts against the SARS-CoV-2 pandemic.
Happy to be a part of this!
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RT @LChoshen
Data augmentation? Look no further.
Framework of 100+ "transformations" (augmentations\paraphrasing functions\filters)
Many types:emojis, linguistic... see Fig
Extendable!
A vast effort, constructed by almost a hundred authors!
https://arxiv.org/abs/2112.02721
#scientivism
https://twitter.com/LChoshen/status/1468209223427411972
RT @pawel_labaj
Join us @MCB_UJ as postDoc to apply #DataScience techniques to understand the microbial intra-community synergies! Work with @TomaszLabMCB @RafalMostowy @mason_lab @Daniela_Bezdan @chmoei @akkah21 @metasub More http://tinyurl.com/PaweLab Deadline Dec 17th @JagiellonskiUni @krakow_pl
RT @k_pyrc
Kawałek od nas:
nietypowy wariant SARS-CoV-2, bez genów ORF7a,7b,8. Jak wpłynie to na kinetykę replikacji oraz nasz układ odpornościowy? Stay tuned!
https://www.eurosurveillance.org/content/10.2807/1560-7917.ES.2021.26.39.2100902
Used the GPT-2 to fight the GPT-2
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RT @valentyn_bez
Scientific misconduct, Natural Language Processing and high-quality investigative journalism in one article. 🕵️♀️
A must-read!
@gcabanac et al. it is scary and fascinating at the same time, but thank you for putting this all together!
https://arxiv.org/abs/2107.06751
#NLP
https://twitter.com/valentyn_bez/status/1424473123949268992
RT @RafalMostowy
Please RT
I'm looking for two postdocs to join our group in Krakow to work on computational biology of bacteria-phage co-evolution. Great city, big questions, exciting science, world class collaborators and a supportive environment.
RT @mason_lab
I'm honored and humbled to get the International Space Station (ISS) Research and Development Award for Compelling Results in Human Health in Space - thanks @ISS_CASIS @ISS_Research #ISSSRDC ! It's a labor of love :-) https://twitter.com/spasmunkey/status/1422591688095191046
*sometimes*
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RT @GregBodwin
In academia you sometimes have to work 7 days a week, but the freedom to choose which 7 days is unparalleled
https://twitter.com/GregBodwin/status/1408576508634009603
As an unordered service, we have also thoroughly disinfected two random spots on each of our swabbing locations.
#gCSD2021 with @metasub is nearly over!
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RT @pawel_labaj
Most of @MCB_UJ @JagiellonskiUni teams are done with @metasub #gCSD2021 in @krakow_pl Thank You All!!!
https://twitter.com/pawel_labaj/status/1406982443077357573
RT @MCB_UJ
Handrails in our cities can sometimes have more biodiversity than rainforests. Will we learn about new species by studying Kraków's microbial fingerprint during global City Sampling Day 2021? Look out for MCB researchers on the streets, Monday June 21st.
If you've ever wondered whether licking the handrails can be good for your health, the aftermath of #gCSD2021 should be of interest to you.
We're going to check that so you don't have to - together with @mason_lab, @MCB_UJ, and @JagiellonskiUni
Meta-dataset is a nice way of testing how robust your new, groundbreaking model is _actually_.
https://github.com/google-research/meta-dataset
Splitting a dataset into training and test set is cool and all, but but did you try splitting your metadataset into training and test datasets?
If not, don't worry, Google Research has got you covered.
RT @dermayank
Difference between machine learning and AI:
If it is written in Python, it's probably machine learning
If it is written in PowerPoint, it's probably AI
Similarity of concepts of a knowledge graph is a frequently encountered problem in text analysis for which Zhu et al. propose an approach that goes beyond the casual path calculation.
If you need more resolution of your metrics you should give it a try:
RT @IARAInews
Dear competitors! We are inviting you to join the forum for our #Traffic4cast21 competition! There you can already find the competition details with first explorations on the temporal shift due to Covid-19 as well as on the spatial properties and shift.
👉https://www.iarai.ac.at/traffic4cast/join-us-for-access/?redirect_me=https://www.iarai.ac.at/traffic4cast/forums/forum/competition/competition-2021/
The dynamic time warping is a technique that is often used for alignment of time series data, with many usages in areas such as biometry.
Surprisingly, it can also be used in computing text similarity!
Let Matuschek et al. tell you about it:
https://www.researchgate.net/publication/221524439_Measuring_text_similarity_with_dynamic_time_warping/figures
RT @mason_lab
Cities have their own distinct microbial fingerprints @metasub https://www.sciencemag.org/news/2021/05/cities-have-their-own-distinct-microbial-fingerprints
AI guy. Tooting interesting publications and statistics that catch my eye
Joined May 2021
