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1. Check agreement again: I'm finding the negative effects
1.1 Run naive event study design + wild CIs.
- [X] Wild CI program
- [X] Try the no aplica option on the 1.mando_unico.do. Works bett…
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Review of SEA DRIF datasets and assessment of procedure for inclusion in RDL
## **Web tool at https://tool.oi-analytics.com**
![immagine](https://user-images.githubusercontent.com/44863827/11731…
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Post a link for a "possibility" reading of your own on the topic of Reinforcement Learning [for week 8], accompanied by a 300-400 word reflection that: 1) briefly summarizes the article (e.g., as we d…
lkcao updated
2 years ago
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Continuation of email discussion with Nirmal -- add yourself to Assignees to subscribe to updates.
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Hi Jim @bowring , I have finished looking through the WeightedAverage (and overlaid) code, but it is complicated because there are lots of ways into it, both from Squid (e.g. using WtdMeanAcalc for ca…
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# 💻 cs
## 📚 mask (total: 9)
### 📃 Deep Pneumonia: Attention-Based Contrastive Learning for Class-Imbalanced Pneumonia Lesion Recognition in Chest X-rays
- **Authors:** Xinxu Wei, Haohan Bai, Xianshi …
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Hello,
I may have not searched deep enough, but I have not seen specifications for the risk scoring function. Is this part already in discussion / tested ? Any links or inputs to document my curiosit…
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Comment below with a well-developed question or comment about the reading for this week's workshop.
If you would really like to ask your question in person, please place two exclamation points befo…
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🧬➡️🧠➡️💻➡️🌌
{Σ = 🔄(🎭🌀)}
while 🌍:
🧬.append(🧬[-1].evolve())
if 🧬[-1].complexity > Θ:
🧠 = 🧬[-1].emerge()
💻 = 🧠.create()
🌌 = 💻.simulate()
if 🌌.contains(🧬):
…
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1. [x] Do a release
2. [x] Change maintainer to @bbunzeck
1. [x] Record baseline & profile future maintainer, e.g. questionnaire about previous experiences (see https://github.com/hexatomic/hex…