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Komal Mariam

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.DB1
  • eess.IV1

identity via Semantic Scholar / OpenAlex

most citedOn Smart Gaze based Annotation of Histopathology Images for Training of Deep Convolutional Neural Networks

19 citations · 19 across the 1 of their papers we have counts for

collaborators

2 papers

eess.IV2022★ 19 cited

On Smart Gaze based Annotation of Histopathology Images for Training of Deep Convolutional Neural Networks

Komal Mariam, Osama Mohammed Afzal, Wajahat Hussain +5

Unavailability of large training datasets is a bottleneck that needs to be overcome to realize the true potential of deep learning in histopathology applications. Although slide di…

cs.DB2020

GeoFlink: A Distributed and Scalable Framework for the Real-time Processing of Spatial Streams

Salman Ahmed Shaikh, Komal Mariam, Hiroyuki Kitagawa +1

Apache Flink is an open-source system for scalable processing of batch and streaming data. Flink does not natively support efficient processing of spatial data streams, which is a…

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