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**Parkinson's Disease Prediction**
**Overview:**
Aim is to develop a predictive model for Parkinson's disease based on various demographic, clinical, and lifestyle factors. This issue tracks the…
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I search for VQA, and when I click on the papers listed, they are leading to the wrong paper.
The first paper in the list is "ChipQA: No-Reference Video Quality Prediction via Space-Time Chips". B…
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Hi, thanks for your great work! I have a question about the inference result. In the paper, it is mentioned that the inference results are obtained by conduct k-means clustering on the post-backbone f…
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This issue serves as a starting point for a discussion on whether and how [scikit-activeml](https://scikit-activeml.github.io/scikit-activeml-docs/) can be used to perform active learning evaluation v…
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Hi,
@mapleleaf-soar and I found AI models (e.g. AtomNet #56, ACNN #287) achieve high performance on DUD-E and PDBbind data sets because they learned the bias in the data sets. REF #1008
For examp…
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https://arxiv.org/pdf/2002.11624.pdf
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I've seen that you've been looking at my project, I'm very happy that you've taken me into account.
https://github.com/Leci37/stocks-prediction-Machine-learning-RealTime-telegram
They are predictiv…
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This is a very good code that I have successfully run. I have written a prediction code and I am not sure if it is correct. Additionally, if I have new data, how should I handle it? Can I turn this in…
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Hi, Thanks a lot for your great work!
I want to replicate your results on the CUHK Avenue dataset, but I can only get around 70% anomaly detection accuracy. Then I give another read on the paper. I…
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**PAPER : -**
[Transfer Learning Framework for cell segmentation with incorporation of geometric features .pdf](https://github.com/neuropoly/axondeepseg/files/5724866/Transfer.Learning.Framework…