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# Task Name
Respiratory Sound Classification
## Task Objective
The objective of this task is to predict if an audio of respiratory sound indicates early-stage fatal lung diseases for better d…
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For classification problems with > 1000 classes, the model building will fail in metric calculation phase because Confusion Matrix has a limit on a maximum number of classes. An error will be shown to…
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Great work on your recent paper! We’re excited to see continued research in this area. We wanted to share some interesting parallels with existing work that you might find valuable:
- Your main bench…
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As seen in the image above, for `Use case: Add a client`, step 2 and 3 are not ex…
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Looming on the horizon, and one of the most significant facilities for this decade, is the Rubin Observatory. It is expected to detect ~10 million transients per night and Australia leads a transient …
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Hi Radu,
Thank you vey much for this code you provided. Its very much appreciated.
From the code, it seems that a feature (early) level fusion was before classification.
Please I would like …
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### What happened + What you expected to happen
I ran into trouble attempting to use temporal classification. The example at https://nixtla.github.io/neuralforecast/examples/temporal_classifiers.html…
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While exporting probability maps from a pixel classification workflow, CPU usage is only ~38%, see attached screenshot:
> docker search deephdc
docker run -ti -p 5000:5000 -p 6006:6006 -p 8888:8888 deephdc/deep-oc-audio-classification-tf
> Put yo…