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researcher

Nihal Acharya Adde

2 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.LG2

identity via Semantic Scholar / OpenAlex

most citedFinding hidden-feature depending laws inside a data set and classifying it using Neural Network

8 citations · 9 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2021★ 8 cited

Finding hidden-feature depending laws inside a data set and classifying it using Neural Network

Thilo Moshagen, Nihal Acharya Adde, Ajay Navilarekal Rajgopal

The logcosh loss function for neural networks has been developed to combine the advantage of the absolute error loss function of not overweighting outliers with the advantage of th…

cs.LG2020★ 1 cited

Classification based on invisible features and thereby finding the effect of tuberculosis vaccine on COVID-19

Nihal Acharya Adde, Thilo Moshagen

In the case of clustered data, an artificial neural network with logcosh loss function learns the bigger cluster rather than the mean of the two. Even more so, the ANN when used fo…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.