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Ayesha Bajwa

3 papers hereh-index 52.4k citations13 works total

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

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.AI1
  • cs.DC1
  • q-bio.GN1

identity via Semantic Scholar / OpenAlex

activity
20182024
most citedExplaining Explanations: An Overview of Interpretability of Machine Learning

32 citations · 38 across the 3 of their papers we have counts for

collaborators

3 papers

q-bio.GN2024★ 5 cited

Leveraging genomic deep learning models for the prediction of non-coding variant effects

Pooja Kathail, Ayesha Bajwa, Nilah M. Ioannidis

Characterizing non-coding variant function remains an important challenge in human genetics. Genomic deep learning models have emerged as a promising approach to enable in silico p…

cs.DC2019★ 1 cited

How to Color a French Flag--Biologically Inspired Algorithms for Scale-Invariant Patterning

Alberto Ancona, Ayesha Bajwa, Nancy Lynch +1

In the French flag problem, initially uncolored cells on a grid must differentiate to become blue, white or red. The goal is for the cells to color the grid as a French flag, i.e.,…

cs.AI2018★ 32 cited

Explaining Explanations: An Overview of Interpretability of Machine Learning

Leilani H. Gilpin, David Bau, Ben Z. Yuan +3

There has recently been a surge of work in explanatory artificial intelligence (XAI). This research area tackles the important problem that complex machines and algorithms often ca…

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