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.” Many disruptive technologies e.g. FB, YouTube, Google came from outside Scopus db.

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). H-index gained via co-authorship is less prestigious (น่าภูมิใจ) than first-authorship.

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