DensSiam: End-to-End Densely-Siamese Network with Self-Attention Model for Object Tracking. - Mohamed H. Abdelpakey; Mohamed S. Shehata; Mostafa M. Mohamed (ISVC, 2018)

Adaptive Framework for Robust Visual Tracking. - Mohamed H. Abdelpakey; Mohamed S. Shehata; Mostafa M. Mohamed; Minglun Gong (IEEE Access, 2018)

Freiburg RNA tools: a central online resource for RNA-focused research and teaching. - Martin Raden; Syed M. Ali; Omer S. Alkhnbashi; Anke Busch; Fabrizio Costa; Jason A. Davis; Florian Eggenhofer; Rick Gelhausen; Jens Georg; Steffen Heyne; Michael Hiller; Kousik Kundu; et al. (Nucleic Acids Res., 2018)

"I have vxxx bxx connexxxn!": Facing Packet Loss in Deep Speech Emotion Recognition. - Mostafa M. Mohamed; Björn W. Schuller (CoRR, 2020)

ConcealNet: An End-to-end Neural Network for Packet Loss Concealment in Deep Speech Emotion Recognition. - Mostafa M. Mohamed; Björn W. Schuller (CoRR, 2020)

On Deep Speech Packet Loss Concealment: A Mini-Survey. - Mostafa M. Mohamed; Mina A. Nessiem; Björn W. Schuller (CoRR, 2020)

Deep Learning-Based Crowd Scene Analysis Survey. - Sherif Elbishlawi; Mohamed H. Abdelpakey; Agwad ElTantawy; Mohamed S. Shehata; Mostafa M. Mohamed (J. Imaging, 2020)

Detecting COVID-19 from Breathing and Coughing Sounds using Deep Neural Networks. - Mina A. Nessiem; Mostafa M. Mohamed; Harry Coppock; Alexander Gaskell; Björn W. Schuller (CBMS, 2021)

Tokenization Repair in the Presence of Spelling Errors. - Hannah Bast; Matthias Hertel; Mostafa M. Mohamed (CoNLL, 2021)

Automated Human Cell Classification in Sparse Datasets using Few-Shot Learning. - Reece Walsh; Mohamed H. Abdelpakey; Mohamed S. Shehata; Mostafa M. Mohamed (CoRR, 2021)

CORONA-Net: Diagnosing COVID-19 from X-ray Images Using Re-Initialization and Classification Networks. - Sherif Elbishlawi; Mohamed H. Abdelpakey; Mohamed S. Shehata; Mostafa M. Mohamed (J. Imaging, 2021)

Normalise for Fairness: A Simple Normalisation Technique for Fairness in Regression Machine Learning Problems. - Mostafa M. Mohamed; Björn W. Schuller (CoRR, 2022)

Face mask recognition from audio: The MASC database and an overview on the mask challenge. - Mostafa M. Mohamed; Mina A. Nessiem; Anton Batliner; Christian Bergler; Simone Hantke; Maximilian Schmitt; Alice Baird; Adria Mallol-Ragolta; Vincent Karas; Shahin Amiriparian; Björn W. Schuller (Pattern Recognit., 2022)