614 citations · 1.3k across the 16 of their papers we have counts for
9 papers · 1 filter
FedSL: Federated Split Learning on Distributed Sequential Data in Recurrent Neural Networks
Ali Abedi, Shehroz S. Khan
Federated Learning (FL) and Split Learning (SL) are privacy-preserving Machine-Learning (ML) techniques that enable training ML models over data distributed among clients without r…
Spatio-Temporal Adversarial Learning for Detecting Unseen Falls
Shehroz S. Khan, Jacob Nogas, Alex Mihailidis
Fall detection is an important problem from both the health and machine learning perspective. A fall can lead to severe injuries, long term impairments or even death in some cases.…
initKmix -- A Novel Initial Partition Generation Algorithm for Clustering Mixed Data using k-means-based Clustering
Amir Ahmad, Shehroz S. Khan
Mixed datasets consist of both numeric and categorical attributes. Various k-means-based clustering algorithms have been developed for these datasets. Generally, these algorithms u…
Survey of state-of-the-art mixed data clustering algorithms
Amir Ahmad, Shehroz S. Khan
Mixed data comprises both numeric and categorical features, and mixed datasets occur frequently in many domains, such as health, finance, and marketing. Clustering is often applied…
Bootstrapping and Multiple Imputation Ensemble Approaches for Missing Data
Shehroz S. Khan, Amir Ahmad, Alex Mihailidis
Presence of missing values in a dataset can adversely affect the performance of a classifier. Single and Multiple Imputation are normally performed to fill in the missing values. I…
Review of Fall Detection Techniques: A Data Availability Perspective
Shehroz S. Khan, Jesse Hoey
A fall is an abnormal activity that occurs rarely; however, missing to identify falls can have serious health and safety implications on an individual. Due to the rarity of occurre…
Relationship between Variants of One-Class Nearest Neighbours and Creating their Accurate Ensembles
Shehroz S. Khan, Amir Ahmad
In one-class classification problems, only the data for the target class is available, whereas the data for the non-target class may be completely absent. In this paper, we study o…
Detecting Falls with X-Factor Hidden Markov Models
Shehroz S. Khan, Michelle E. Karg, Dana Kulic +1
Identification of falls while performing normal activities of daily living (ADL) is important to ensure personal safety and well-being. However, falling is a short term activity th…
One-Class Classification: Taxonomy of Study and Review of Techniques
Shehroz S. Khan, Michael G. Madden
One-class classification (OCC) algorithms aim to build classification models when the negative class is either absent, poorly sampled or not well defined. This unique situation con…