Shehroz S. Khan

Affiliations:
  • University Health Network, Toronto Rehabilitation Institute, ON, Canada
  • University of Waterloo, David R. Cheriton School of Computer Science, Canada (PhD 2016)
  • National University of Ireland (NUI), College of Engineering and Informatics, Galway, Ireland


According to our database1, Shehroz S. Khan authored at least 55 papers between 2003 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Online presence:

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Bibliography

2022
Indoor Location Data for Tracking Human Behaviours: A Scoping Review.
Sensors, 2022

Inconsistencies in Measuring Student Engagement in Virtual Learning - A Critical Review.
CoRR, 2022

Multi Visual Modality Fall Detection Dataset.
CoRR, 2022

Unsupervised Deep Learning to Detect Agitation From Videos in People With Dementia.
IEEE Access, 2022

Examining the technology-mediated cycles of injustice that contribute to digital ageism: Advancing the conceptualization of digital ageism: evidence and implications.
Proceedings of the PETRA '22: The 15th International Conference on PErvasive Technologies Related to Assistive Environments, Corfu, Greece, 29 June 2022, 2022

Supervised Contrastive Learning for Detecting Anomalous Driving Behaviours from Multimodal Videos.
Proceedings of the 19th Conference on Robots and Vision, 2022

2021
Spatio-temporal adversarial learning for detecting unseen falls.
Pattern Anal. Appl., 2021

A Pilot Study to Detect Agitation in People Living with Dementia Using Multi-Modal Sensors.
J. Heal. Informatics Res., 2021

<i>initKmix</i>-A novel initial partition generation algorithm for clustering mixed data using k-means-based clustering.
Expert Syst. Appl., 2021

Modified Supervised Contrastive Learning for Detecting Anomalous Driving Behaviours.
CoRR, 2021

Affect-driven Engagement Measurement from Videos.
CoRR, 2021

Tracking agitation in people living with dementia in a care environment.
CoRR, 2021

Onset and Offset Detection of Respiratory EMG Data Based on Energy Operator Signal.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Improving state-of-the-art in Detecting Student Engagement with Resnet and TCN Hybrid Network.
Proceedings of the 18th Conference on Robots and Vision, 2021

Tracking agitation in people living with dementia in a care environment.
Proceedings of the 34th Canadian Conference on Artificial Intelligence, 2021

Anomaly Detection Approach to Identify Early Cases in a Pandemic using Chest X-rays.
Proceedings of the 34th Canadian Conference on Artificial Intelligence, 2021

2020
DeepFall: Non-Invasive Fall Detection with Deep Spatio-Temporal Convolutional Autoencoders.
J. Heal. Informatics Res., 2020

FedSL: Federated Split Learning on Distributed Sequential Data in Recurrent Neural Networks.
CoRR, 2020

COVIDomaly: A Deep Convolutional Autoencoder Approach for Detecting Early Cases of COVID-19.
CoRR, 2020

Spatiotemporal clustering: a review.
Artif. Intell. Rev., 2020

Motion and Region Aware Adversarial Learning for Fall Detection with Thermal Imaging.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
Challenges in Collecting Big Data in A Clinical Environment with Vulnerable Population: Lessons Learned from A Study Using A Multi-modal Sensors Platform.
Sci. Eng. Ethics, 2019

Bootstrapping and multiple imputation ensemble approaches for classification problems.
J. Intell. Fuzzy Syst., 2019

A Novel Initial Clusters Generation Method for K-means-based Clustering Algorithms for Mixed Datasets.
CoRR, 2019

Survey of State-of-the-Art Mixed Data Clustering Algorithms.
IEEE Access, 2019

Diagnosis of Obstructive Sleep Apnea during Wakefulness Using Upper Airway Negative Pressure and Machine Learning.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Agitation Detection in People Living with Dementia using Multimodal Sensors.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018
Relationship between Variants of One-Class Nearest Neighbors and Creating Their Accurate Ensembles.
IEEE Trans. Knowl. Data Eng., 2018

Learning regression problems by using classifiers.
J. Intell. Fuzzy Syst., 2018

Learning to Unlearn: Building Immunity to Dataset Bias in Medical Imaging Studies.
CoRR, 2018

A Survey of Mixed Data Clustering Algorithms.
CoRR, 2018

Bootstrapping and Multiple Imputation Ensemble Approaches for Missing Data.
CoRR, 2018

Infusing Domain Knowledge to Improve the Detection of Alzheimer's Disease from Everyday Motion Behaviour.
Proceedings of the Advances in Artificial Intelligence, 2018

2017
Detecting unseen falls from wearable devices using channel-wise ensemble of autoencoders.
Expert Syst. Appl., 2017

Detecting falls with X-Factor Hidden Markov Models.
Appl. Soft Comput., 2017

DAAD: A Framework for Detecting Agitation and Aggression in People Living with Dementia Using a Novel Multi-modal Sensor Network.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

2016
Classification and Decision-Theoretic Framework for Detecting and Reporting Unseen Falls.
PhD thesis, 2016

Review of Fall Detection Techniques: A Data Availability Perspective.
CoRR, 2016

Equivalence Among Different Variants of One-Class Nearest Neighbours and Creating Their Accurate Ensembles.
CoRR, 2016

<i>dtFall</i>: decision-theoretic framework to report unseen falls.
Proceedings of the 10th EAI International Conference on Pervasive Computing Technologies for Healthcare, 2016

2015
Detecting falls with X-Factor HMMs when the training data for falls is not available.
CoRR, 2015

2014
One-class classification: taxonomy of study and review of techniques.
Knowl. Eng. Rev., 2014

Relational approach to knowledge engineering for POMDP-based assistance systems as a translation of a psychological model.
Int. J. Approx. Reason., 2014

X-Factor HMMs for Detecting Falls in the Absence of Fall-Specific Training Data.
Proceedings of the Ambient Assisted Living and Daily Activities, 2014

2013
Cluster center initialization algorithm for K-modes clustering.
Expert Syst. Appl., 2013

A Probabilistic Framework for Detecting Unusual Events in Mobile Sensor Networks.
Proceedings of the Advances in Artificial Intelligence, 2013

2012
Cluster Center Initialization for Categorical Data Using Multiple Attribute Clustering.
Proceedings of the 3rd MultiClust Workshop: Discovering, 2012

Towards the detection of unusual temporal events during activities using HMMs.
Proceedings of the 2012 ACM Conference on Ubiquitous Computing, 2012

Evaluating Visual Aesthetics in Photographic Portraiture.
Proceedings of the 8th International Symposium on Computational Aesthetics in Graphics, 2012

Bayesian Multiple Imputation Approaches for One-Class Classification.
Proceedings of the Advances in Artificial Intelligence, 2012

2009
A Survey of Recent Trends in One Class Classification.
Proceedings of the Artificial Intelligence and Cognitive Science - 20th Irish Conference, 2009

2007
Computation of Initial Modes for K-modes Clustering Algorithm Using Evidence Accumulation.
Proceedings of the IJCAI 2007, 2007

2006
Analyzing a class of pseudo-random bit generator through inductive machine learning paradigm.
Intell. Data Anal., 2006

2004
Cluster center initialization algorithm for K-means clustering.
Pattern Recognit. Lett., 2004

2003
Generating K-Prototype Points for Unsupervised Learning.
Proceedings of the 1st Indian International Conference on Artificial Intelligence, 2003


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