57 citations · 102 across the 9 of their papers we have counts for
9 papers
Fast Genetic Algorithm for feature selection -- A qualitative approximation approach
Mohammed Ghaith Altarabichi, Sławomir Nowaczyk, Sepideh Pashami +1
Evolutionary Algorithms (EAs) are often challenging to apply in real-world settings since evolutionary computations involve a large number of evaluations of a typically expensive f…
Rolling the dice for better deep learning performance: A study of randomness techniques in deep neural networks
Mohammed Ghaith Altarabichi, Sławomir Nowaczyk, Sepideh Pashami +2
This paper investigates how various randomization techniques impact Deep Neural Networks (DNNs). Randomization, like weight noise and dropout, aids in reducing overfitting and enha…
Data Analytics for Improving Energy Efficiency in Short Sea Shipping
Mohamed Abuella, Hadi Fanaee, M. Amine Atou +3
To meet the urgent requirements for the climate change mitigation, several proactive measures of energy efficiency have been implemented in maritime industry. Many of these practic…
Time-Series Analysis Approach for Improving Energy Efficiency of a Fixed-Route Vessel in Short-Sea Shipping
Mohamed Abuella, Hadi Fanaee, Slawomir Nowaczyk +2
Several approaches have been developed for improving the ship energy efficiency, thereby reducing operating costs and ensuring compliance with climate change mitigation regulations…
Beyond Random Noise: Insights on Anonymization Strategies from a Latent Bandit Study
Alexander Galozy, Sadi Alawadi, Victor Kebande +1
This paper investigates the issue of privacy in a learning scenario where users share knowledge for a recommendation task. Our study contributes to the growing body of research on…
Explainable Predictive Maintenance
Sepideh Pashami, Slawomir Nowaczyk, Yuantao Fan +13
Explainable Artificial Intelligence (XAI) fills the role of a critical interface fostering interactions between sophisticated intelligent systems and diverse individuals, including…