30 citations · 59 across the 9 of their papers we have counts for
9 papers
Sexing Caucasian 2D footprints using convolutional neural networks
Marcin Budka, Matthew R. Bennet, Sally Reynolds +4
Footprints are left, or obtained, in a variety of scenarios from crime scenes to anthropological investigations. Determining the sex of a footprint can be useful in screening such…
An Automated Approach for Timely Diagnosis and Prognosis of Coronavirus Disease
Abbas Raza Ali, Marcin Budka
Since the outbreak of Coronavirus Disease 2019 (COVID-19), most of the impacted patients have been diagnosed with high fever, dry cough, and soar throat leading to severe pneumonia…
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…
A Review of Meta-level Learning in the Context of Multi-component, Multi-level Evolving Prediction Systems
Abbas Raza Ali, Marcin Budka, Bogdan Gabrys
The exponential growth of volume, variety and velocity of data is raising the need for investigations of automated or semi-automated ways to extract useful patterns from the data.…
Do readers use character information when programming return-sweep saccades?
Martin R. Vasilev, Victoria I. Adedeji, Calvin Laursen +2
Reading saccades that occur within a single line of text are guided by the size of letters. However, readers occasionally need to make longer saccades (known as return-sweeps) that…
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 layer of the neural network model only the order neighbourhood nodes of…