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Shehroz S. Khan
Shehroz S. Khan
Scientist, KITE, Toronto Rehabilitation Institute
Verified email at utoronto.ca - Homepage
Title
Cited by
Cited by
Year
Cluster center initialization algorithm for K-means clustering
SS Khan, A Ahmad
Pattern recognition letters 25 (11), 1293-1302, 2004
8452004
One-class classification: taxonomy of study and review of techniques
SS Khan, MG Madden
The Knowledge Engineering Review 29 (3), 345-374, 2014
4672014
A survey of recent trends in one class classification
SS Khan, MG Madden
Irish Conference on Artificial Intelligence and Cognitive Science, 188-197, 2009
4572009
Review of Fall Detection Techniques: A Data Availability Perspective
SS Khan, J Hoey
Medical Engineering & Physics 39, 12-22, 2017
1802017
Survey of state-of-the-art mixed data clustering algorithms
A Ahmad, SS Khan
IEEE Access 7, 31883 - 31902, 2019
1252019
Cluster center initialization algorithm for K-modes clustering
SS Khan, A Ahmad
Expert Systems with Applications 40 (18), 7444-7456, 2013
1112013
Computation of Initial Modes for K-modes Clustering Algorithm Using Evidence Accumulation.
SS Khan, S Kant
IJCAI, 2784-2789, 2007
712007
Evaluating visual aesthetics in photographic portraiture
SS Khan, D Vogel
Proceedings of the Eighth Annual Symposium on Computational Aesthetics in …, 2012
662012
Detecting Unseen Falls from Wearable Devices using Channel-wise Ensemble of Autoencoders
SS Khan, B Taati
Expert Systems With Applications 87 (30), 280-290, 2017
632017
Detecting Agitation and Aggression in People with Dementia Using Sensors- A Systematic Review
SS Khan, B Ye, B Taati, A Mihailidis
Alzheimers & Dementia, 2018
552018
Towards the detection of unusual temporal events during activities using hmms
SS Khan, ME Karg, J Hoey, D Kulic
Proceedings of the 2012 ACM Conference on Ubiquitous Computing, 1075-1084, 2012
482012
Spatiotemporal Clustering : A Review
MY Ansari, A Amhad, SS Khan, G Bhushan, Mainuddin
Artificial Intelligence Review 53, 2381–2423, 2020
412020
DeepFall--Non-invasive Fall Detection with Deep Spatio-Temporal Convolutional Autoencoders
J Nogas, SS Khan, A Mihailidis
Journal of Health Informatics Research 4, 50-70, 2020
362020
Detecting Falls with X-Factor Hidden Markov Models
SS Khan, ME Karg, D Kulic, J Hoey
Applied Soft Computing 55, 168-177, 2017
322017
Relationship between Variants of One-Class Nearest Neighbours and Creating their Accurate Ensembles
SS Khan, A Ahmad
IEEE Transactions on Knowledge and Data Engineering, 2018
302018
Fall Detection from Thermal Camera Using Convolutional LSTM Autoencoder
J Nogas, SS Khan, A Mihailidis
2nd Workshop on AI for Aging, Rehabilitation and Independent Assisted Living …, 2018
262018
New similarity metrics for Raman spectroscopy
SS Khan, MG Madden
Chemometrics and Intelligent Laboratory Systems 114, 99-108, 2012
212012
X-Factor HMMs for detecting falls in the absence of fall-specific training data
SS Khan, ME Karg, D Kulic, J Hoey
6th International Work-conference on Ambient Assisted Living (IWAAL 2014 …, 2014
202014
Relational approach to knowledge engineering for POMDP-based assistance systems as a translation of a psychological model
M Grześ, J Hoey, SS Khan, A Mihailidis, S Czarnuch, D Jackson, A Monk
International Journal of Approximate Reasoning 55 (1), 36-58, 2014
192014
DAAD: A Framework for Detecting Agitation and Aggression in People Living with Dementia using a Novel Multi-Modal Sensor Network
Shehroz S. Khan, Tong Zhu, Bing Ye, Alex Mihailidis, Andrea Iaboni, Kristine ...
International Conference on Data Mining, 1st Workshop on Data Mining for …, 2017
17*2017
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