Extreme learning machine (ELM)

Fast learning feed forward network used for real time retraining. There were a lot of controversies behind ELMs.

https://towardsdatascience.com/introduction-to-extreme-learning-machines-c020020ff82b

Controversy on h-index

1.It is important to note that the statement: “The h-index of person P is X,” has no meaning, because the value of the index depends on the content of the database used for its calculation. One should rather say: “The h-index of person P is X, in database Z.”

Cf. https://theconversation.com/why-the-h-index-is-a-bogus-measure-of-academic-impact-141684

2.H-index counts both proceedings and journal equally although they potentially have significant difference in quality (in their impacts).

3.H-index counts all papers although you are not the first author. So it is blind to percent contribution (i e. amount of contribution you really achieve).

4.It even ignores any impacts made via non English literature.