4 citations · 7 across the 7 of their papers we have counts for
3 papers · 1 filter
Impact Of Missing Data Imputation On The Fairness And Accuracy Of Graph Node Classifiers
Haris Mansoor, Sarwan Ali, Shafiq Alam +3
Analysis of the fairness of machine learning (ML) algorithms recently attracted many researchers' interest. Most ML methods show bias toward protected groups, which limits the appl…
Efficient Approximate Kernel Based Spike Sequence Classification
Sarwan Ali, Bikram Sahoo, Muhammad Asad Khan +3
Machine learning (ML) models, such as SVM, for tasks like classification and clustering of sequences, require a definition of distance/similarity between pairs of sequences. Severa…
Predicting Attributes of Nodes Using Network Structure
Sarwan Ali, Muhammad Haroon Shakeel, Imdadullah Khan +2
In many graphs such as social networks, nodes have associated attributes representing their behavior. Predicting node attributes in such graphs is an important problem with applica…