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Anupam Biswas

2 papers here

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

author position
  • sole 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 citedPrayatul Matrix: A Direct Comparison Approach to Evaluate Performance of Supervised Machine Learning Models

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2022

Design Perspectives of Multitask Deep Learning Models and Applications

Yeshwant Singh, Anupam Biswas, Angshuman Bora +3

In recent years, multi-task learning has turned out to be of great success in various applications. Though single model training has promised great results throughout these years,…

cs.LG2022★ 1 cited

Prayatul Matrix: A Direct Comparison Approach to Evaluate Performance of Supervised Machine Learning Models

Anupam Biswas

Performance comparison of supervised machine learning (ML) models are widely done in terms of different confusion matrix based scores obtained on test datasets. However, a dataset…

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