The current loss function minimises the entropy however we can pick any function we like.
For instance we could only minimise the entropy for the signal class and ignore the noise class.
It might be useful to ask the network to optimise on the detection probability (true alarm) while minimising the abs(false alarm - desired false alarm)? It would then aim to get a certain fraction of noise events wrong while trying it's best to get as many signal right.
The current loss function minimises the entropy however we can pick any function we like.
For instance we could only minimise the entropy for the signal class and ignore the noise class.
It might be useful to ask the network to optimise on the detection probability (true alarm) while minimising the abs(false alarm - desired false alarm)? It would then aim to get a certain fraction of noise events wrong while trying it's best to get as many signal right.
Just a thought.