26 citations · 55 across the 6 of their papers we have counts for
6 papers
Normalise for Fairness: A Simple Normalisation Technique for Fairness in Regression Machine Learning Problems
Mostafa M. Amin, Björn W. Schuller
Algorithms and Machine Learning (ML) are increasingly affecting everyday life and several decision-making processes, where ML has an advantage due to scalability or superior perfor…
Automated Human Cell Classification in Sparse Datasets using Few-Shot Learning
Reece Walsh, Mohamed H. Abdelpakey, Mohamed S. Shehata +1
Classifying and analyzing human cells is a lengthy procedure, often involving a trained professional. In an attempt to expedite this process, an active area of research involves au…
On Deep Speech Packet Loss Concealment: A Mini-Survey
Mostafa M. Mohamed, Mina A. Nessiem, Björn W. Schuller
Packet-loss is a common problem in data transmission, using Voice over IP. The problem is an old problem, and there has been a variety of classical approaches that were developed t…
ConcealNet: An End-to-end Neural Network for Packet Loss Concealment in Deep Speech Emotion Recognition
Mostafa M. Mohamed, Björn W. Schuller
Packet loss is a common problem in data transmission, including speech data transmission. This may affect a wide range of applications that stream audio data, like streaming applic…
"I have vxxx bxx connexxxn!": Facing Packet Loss in Deep Speech Emotion Recognition
Mostafa M. Mohamed, Björn W. Schuller
In applications that use emotion recognition via speech, frame-loss can be a severe issue given manifold applications, where the audio stream loses some data frames, for a variety…
DensSiam: End-to-End Densely-Siamese Network with Self-Attention Model for Object Tracking
Mohamed H. Abdelpakey, Mohamed S. Shehata, Mostafa M. Mohamed
Convolutional Siamese neural networks have been recently used to track objects using deep features. Siamese architecture can achieve real time speed, however it is still difficult…