Shehroz S. Khan
Orcid: 0000-0002-1195-4999Affiliations:
- 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 (former)
According to our database1,
Shehroz S. Khan
authored at least 81 papers
between 2003 and 2024.
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Bibliography
2024
Skeletal Video Anomaly Detection Using Deep Learning: Survey, Challenges, and Future Directions.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2024
FedSL: Federated split learning on distributed sequential data in recurrent neural networks.
Multim. Tools Appl., March, 2024
VolPAM: Volumetric Phenotype-Activation-Map for data-driven discovery of 3D imaging phenotypes and interpretability.
Neural Comput. Appl., February, 2024
Multim. Syst., February, 2024
Artificial intelligence-driven virtual rehabilitation for people living in the community: A scoping review.
npj Digit. Medicine, 2024
Engagement Measurement Based on Facial Landmarks and Spatial-Temporal Graph Convolutional Networks.
CoRR, 2024
Rehabilitation Exercise Quality Assessment through Supervised Contrastive Learning with Hard and Soft Negatives.
CoRR, 2024
Ensemble of Autoencoders for Anomaly Detection in Biomedical Data: A Narrative Review.
IEEE Access, 2024
Proceedings of the 2024 10th International Conference on Computing and Data Engineering, 2024
2023
Detecting disengagement in virtual learning as an anomaly using temporal convolutional network autoencoder.
Signal Image Video Process., October, 2023
Walking path images from real-time location data predict degree of cognitive impairment.
Artif. Intell. Medicine, October, 2023
CoRR, 2023
Cross-Modal Video to Body-joints Augmentation for Rehabilitation Exercise Quality Assessment.
CoRR, 2023
CoRR, 2023
Undersampling and Cumulative Class Re-decision Methods to Improve Detection of Agitation in People with Dementia.
CoRR, 2023
A New Approach for Forecasting Crude Oil Prices Based on Stochastic and Deterministic Influences of LMD Using ARIMA and LSTM Models.
IEEE Access, 2023
Empirical Thresholding on Spatio-Temporal Autoencoders Trained on Surveillance Videos in a Dementia Care Unit.
Proceedings of the 20th Conference on Robots and Vision, 2023
Rehabilitation Exercise Repetition Segmentation and Counting Using Skeletal Body Joints.
Proceedings of the 20th Conference on Robots and Vision, 2023
Investigating Multimodal Sensor Features Importance to Detect Agitation in People with Dementia.
Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2023
2022
Privacy-Protecting Behaviours of Risk Detection in People with Dementia using Videos.
CoRR, 2022
Inconsistencies in Measuring Student Engagement in Virtual Learning - A Critical Review.
CoRR, 2022
IEEE Access, 2022
Proceedings of the IEEE Symposium Series on Computational Intelligence, 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
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022
Supervised Contrastive Learning for Detecting Anomalous Driving Behaviours from Multimodal Videos.
Proceedings of the 19th Conference on Robots and Vision, 2022
Proceedings of the 35th Canadian Conference on Artificial Intelligence, Toronto, Ontario, 2022
2021
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
CoRR, 2021
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
Proceedings of the 34th Canadian Conference on Artificial Intelligence, 2021
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
COVIDomaly: A Deep Convolutional Autoencoder Approach for Detecting Early Cases of COVID-19.
CoRR, 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
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
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
CoRR, 2018
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
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
Equivalence Among Different Variants of One-Class Nearest Neighbours and Creating Their Accurate Ensembles.
CoRR, 2016
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
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
Proceedings of the Ambient Assisted Living and Daily Activities, 2014
2013
Expert Syst. Appl., 2013
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
Proceedings of the 2012 ACM Conference on Ubiquitous Computing, 2012
Proceedings of the 8th International Symposium on Computational Aesthetics in Graphics, 2012
Proceedings of the Advances in Artificial Intelligence, 2012
2009
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
Pattern Recognit. Lett., 2004
2003
Generating K-Prototype Points for Unsupervised Learning.
Proceedings of the 1st Indian International Conference on Artificial Intelligence, 2003