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Akanda Wahid-Ul-Ashraf

3 papers here

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

author position
  • first author2
  • middle author1

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

fields
  • cs.CV1
  • cs.LG1
  • cs.SI1

identity via Semantic Scholar / OpenAlex

activity
20182021
collaborators

3 papers

cs.CV2021

Deep Multilabel CNN for Forensic Footwear Impression Descriptor Identification

Marcin Budka, Akanda Wahid Ul Ashraf, Scott Neville +2

In recent years deep neural networks have become the workhorse of computer vision. In this paper, we employ a deep learning approach to classify footwear impression's features know…

cs.LG2019

Simulation and Augmentation of Social Networks for Building Deep Learning Models

Akanda Wahid -Ul- Ashraf, Marcin Budka, Katarzyna Musial

A limitation of the Graph Convolutional Networks (GCNs) is that it assumes at a particular lth layer of the neural network model only the lth order neighbourhood nodes of…

cs.SI2018

NetSim -- The framework for complex network generator

Akanda Wahid -Ul- Ashraf, Marcin Budka, Katarzyna Musial

Networks are everywhere and their many types, including social networks, the Internet, food webs etc., have been studied for the last few decades. However, in real-world networks,…

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