Mattia Prosperi

@MasahikoKim

Badassociate Professor in machine learn.. statist.. data science!

Vrijeme pridruživanja: svibanj 2013.

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  1. prije 18 sati

    UF DAISY 2020 —a workshop on transdisciplinary data science— has just started! See the program and watch it live streamed

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  2. proslijedio/la je Tweet
    30. sij

    thought of the day: Developing predictions from observational data such as informs one about PREVAILING outcomes of PREVAILING treatment strategies and has almost nothing to do with what happens if a DIFFERENT treatment were given to a patient.

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  3. 27. sij

    Are preregistration and registered reports vulnerable to hacking?: Epidemiology

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  4. 25. sij

    GATTACA is as GATTACA does:

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    23. sij

    Google Dataset Search is now officially out of beta. "Dataset Search has indexed almost 25 million of these datasets, giving you a single place to search for datasets & find links to where the data is." Nice work, Natasha Noy and everyone else involved!

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  6. proslijedio/la je Tweet
    23. sij

    Explainability is ML's Achilles heel. This paper presents formal criteria & measures for various aspects of explainability. Its use of do-calculus gives readers immediate view of the data and assumptions needed to meet each of the criteria.

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  7. 9. sij

    Miguel Hernan (Harvard) talking about causal inference today at UF!

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    3. sij

    1/12 Brdly spk, assuming one can infer the effect of an intervention when experimental data matching exactly this intervention is available is not surprising, causally-speaking. Why? There's no cross-rung inference, but a typical function approx exercise. This is Judea's main...

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  9. proslijedio/la je Tweet
    2. sij

    The Google AI mammogram paper is FLAWED. Want to learn why? AND why cancer screening is the LAST thing you should pick FIRST to work on with AI? Read this This is educational, I promise

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  10. proslijedio/la je Tweet
    31. pro 2019.

    Researchers led by Profs. Morley Mao and uncovered the first-ever attack on LiDAR systems in autonomous vehicles, allowing them to create fake obstacles.

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  11. 30. pro 2019.

    A lesson to learn, on Twitter especially.

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  12. 25. pro 2019.
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    #4: Something more positive about machine learning? This 5-article series in Biostatistics about machine learning for causal inference written by early- and mid-career statisticians

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  14. 23. pro 2019.

    Re. A Call for Deep-learning Healthcare. Check out our new commentary at:

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  15. proslijedio/la je Tweet
    18. pro 2019.

    Finally, and I are able to share a working paper that we've been working on for quite a while now: "Causal Inference and Data-Fusion in Econometrics" 🚨 1/

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  16. proslijedio/la je Tweet

    Ten UK universities create reproducibility-focused senior roles: initiative to tackle issues around openness and poor incentive culture in science gains vital “middle” layer in fight to boost research quality. reports

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  17. proslijedio/la je Tweet
    2. sij 2019.

    Are you still shaking off the holiday? I know I am! How about a about casual graphs to ease us into the new year?

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  18. 11. pro 2019.
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  19. proslijedio/la je Tweet
    11. pro 2019.
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  20. proslijedio/la je Tweet
    11. pro 2019.
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