6 citations · 7 across the 5 of their papers we have counts for
6 papers
Predicting Multiple Clinical Outcomes Related to Functional Recovery and Social Isolation Among Older Adults After Lower-Limb Fracture or Hip Replacement
Santosh Ray, Pratik K. Mishra, Ali Abedi +3
Older adults recovering after lower-limb fracture or hip replacement may experience complex recovery trajectories. Most of the time, these clinical aspects are studied in isolation…
Depth-Weighted Detection of Behaviours of Risk in People with Dementia using Cameras
Pratik K. Mishra, Irene Ballester, Andrea Iaboni +4
The behavioural and psychological symptoms of dementia, such as agitation and aggression, present a significant health and safety risk in residential care settings. Many care facil…
Privacy-Protecting Behaviours of Risk Detection in People with Dementia using Videos
Pratik K. Mishra, Andrea Iaboni, Bing Ye +3
People living with dementia often exhibit behavioural and psychological symptoms of dementia that can put their and others' safety at risk. Existing video surveillance systems in l…
Skeletal Video Anomaly Detection using Deep Learning: Survey, Challenges and Future Directions
Pratik K. Mishra, Alex Mihailidis, Shehroz S. Khan
The existing methods for video anomaly detection mostly utilize videos containing identifiable facial and appearance-based features. The use of videos with identifiable faces raise…
Minimum Variance Embedded Auto-associative Kernel Extreme Learning Machine for One-class Classification
Pratik K. Mishra, Chandan Gautam, Aruna Tiwari
One-class classification (OCC) needs samples from only a single class to train the classifier. Recently, an auto-associative kernel extreme learning machine was developed for the O…
Graph-Embedded Multi-layer Kernel Extreme Learning Machine for One-class Classification or (Graph-Embedded Multi-layer Kernel Ridge Regression for One-class Classification)
Chandan Gautam, Aruna Tiwari, M. Tanveer
A brain can detect outlier just by using only normal samples. Similarly, one-class classification (OCC) also uses only normal samples to train the model and trained model can be us…