205 citations · 222 across the 8 of their papers we have counts for
8 papers
Abstractive Summary Generation for the Urdu Language
Ali Raza, Hadia Sultan Raja, Usman Maratib
Abstractive summary generation is a challenging task that requires the model to comprehend the source text and generate a concise and coherent summary that captures the essential i…
Proof of Swarm Based Ensemble Learning for Federated Learning Applications
Ali Raza, Kim Phuc Tran, Ludovic Koehl +1
Ensemble learning combines results from multiple machine learning models in order to provide a better and optimised predictive model with reduced bias, variance and improved predic…
Using Anomaly Detection to Detect Poisoning Attacks in Federated Learning Applications
Ali Raza, Shujun Li, Kim-Phuc Tran +2
Adversarial attacks such as poisoning attacks have attracted the attention of many machine learning researchers. Traditionally, poisoning attacks attempt to inject adversarial trai…
Lightweight Transformer in Federated Setting for Human Activity Recognition
Ali Raza, Kim Phuc Tran, Ludovic Koehl +3
Human activity recognition (HAR) is a machine learning task with important applications in healthcare especially in the context of home care of patients and older adults. HAR is of…
Designing ECG Monitoring Healthcare System with Federated Transfer Learning and Explainable AI
Ali Raza, Kim Phuc Tran, Ludovic Koehl +1
Deep learning play a vital role in classifying different arrhythmias using the electrocardiography (ECG) data. Nevertheless, training deep learning models normally requires a large…
Prediction of Hemolysis Tendency of Peptides using a Reliable Evaluation Method
Ali Raza, Hafiz Saud Arshad
There are numerous peptides discovered through past decades, which exhibit antimicrobial and anti-cancerous tendencies. Due to these reasons, peptides are supposed to be sound ther…
Towards explainable message passing networks for predicting carbon dioxide adsorption in metal-organic frameworks
Ali Raza, Faaiq Waqar, Arni Sturluson +2
Metal-organic framework (MOFs) are nanoporous materials that could be used to capture carbon dioxide from the exhaust gas of fossil fuel power plants to mitigate climate change. In…
Statistical Analysis Driven Optimized Deep Learning System for Intrusion Detection
Cosimo Ieracitano, Ahsan Adeel, Mandar Gogate +5
Attackers have developed ever more sophisticated and intelligent ways to hack information and communication technology systems. The extent of damage an individual hacker can carry…