Shehroz S. Khan

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 79

Top Venues

CoRR

IEEE Access

CRV

J. Heal. Informatics Res.

University of Waterloo, Ontario, Canada (PHD)

Education History

University of Waterloo, Ontario, Canada

PHD

Publications

Zakary Georgis-Yap, Milos R. Popovic, Shehroz S. Khan
Supervised and Unsupervised Deep Learning Approaches for EEG Seizure Prediction. J. Heal. Informatics Res. 8 (2) (2024)
Ali Abedi, Shehroz S. Khan
FedSL: Federated split learning on distributed sequential data in recurrent neural networks. Multim. Tools Appl. 83 (10) (2024)
Ali Abedi, Shehroz S. Khan
Engagement Measurement Based on Facial Landmarks and Spatial-Temporal Graph Convolutional Networks. CoRR (2024)
Mahboobeh Norouzi, Shehroz S. Khan, Ahmed Ashraf
VolPAM: Volumetric Phenotype-Activation-Map for data-driven discovery of 3D imaging phenotypes and interpretability. Neural Comput. Appl. 36 (6) (2024)
Ali Abedi, Tracey J. F. Colella, Maureen Pakosh, Shehroz S. Khan
Artificial intelligence-driven virtual rehabilitation for people living in the community: A scoping review. npj Digit. Medicine 7 (1) (2024)
Ali Abedi, Chinchu Thomas, Dinesh Babu Jayagopi, Shehroz S. Khan
Bag of states: a non-sequential approach to video-based engagement measurement. Multim. Syst. 30 (1) (2024)
Mark Karlov, Ali Abedi, Shehroz S. Khan
Rehabilitation Exercise Quality Assessment through Supervised Contrastive Learning with Hard and Soft Negatives. CoRR (2024)
Pratik K. Mishra, Alex Mihailidis, Shehroz S. Khan
Skeletal Video Anomaly Detection Using Deep Learning: Survey, Challenges, and Future Directions. IEEE Trans. Emerg. Top. Comput. Intell. 8 (2) (2024)
Ali Nawaz, Shehroz S. Khan, Amir Ahmad
Ensemble of Autoencoders for Anomaly Detection in Biomedical Data: A Narrative Review. IEEE Access 12 (2024)
Ali Abedi, Shehroz S. Khan
Affect-driven ordinal engagement measurement from video. Multim. Tools Appl. 83 (8) (2024)
Reza Basiri, Milos R. Popovic, Shehroz S. Khan
Domain-Specific Deep Learning Feature Extractor for Diabetic Foot Ulcer Detection. CoRR (2023)
Ali Abedi, Paritosh Bisht, Riddhi Chatterjee, Rachit Agrawal, Vyom Sharma, Dinesh Babu Jayagopi, Shehroz S. Khan
Rehabilitation Exercise Repetition Segmentation and Counting using Skeletal Body Joints. CoRR (2023)
Shehroz S. Khan, Pratik K. Mishra, Bing Ye, Kristine Newman, Andrea Iaboni, Alex Mihailidis
Empirical Thresholding on Spatio-Temporal Autoencoders Trained on Surveillance Videos in a Dementia Care Unit. CRV (2023)
Ali Abedi, Chinchu Thomas, Dinesh Babu Jayagopi, Shehroz S. Khan
Bag of States: A Non-sequential Approach to Video-based Engagement Measurement. CoRR (2023)
Tamim Faruk, Leia C. Shum, Andrea Iaboni, Shehroz S. Khan
Walking path images from real-time location data predict degree of cognitive impairment. Artif. Intell. Medicine 144 (2023)
Zhidong Meng, Andrea Iaboni, Bing Ye, Kristine Newman, Alex Mihailidis, Zhihong Deng, Shehroz S. Khan
Undersampling and Cumulative Class Re-decision Methods to Improve Detection of Agitation in People with Dementia. CoRR (2023)
Zakary Georgis-Yap, Milos R. Popovic, Shehroz S. Khan
Supervised and Unsupervised Deep Learning Approaches for EEG Seizure Prediction. CoRR (2023)
Pratik K. Mishra, Alex Mihailidis, Shehroz S. Khan
Skeletal Video Anomaly Detection using Deep Learning: Survey, Challenges and Future Directions. CoRR (2023)
Stefan Denkovski, Shehroz S. Khan, Alex Mihailidis
Temporal Shift - Multi-Objective Loss Function for Improved Anomaly Fall Detection. CoRR (2023)
Ali Abedi, Mobin Malmirian, Shehroz S. Khan
Cross-Modal Video to Body-joints Augmentation for Rehabilitation Exercise Quality Assessment. CoRR (2023)
Ali Abedi, Shehroz S. Khan
Detecting disengagement in virtual learning as an anomaly using temporal convolutional network autoencoder. Signal Image Video Process. 17 (7) (2023)
Stefan Denkovski, Shehroz S. Khan, Alex Mihailidis
Temporal Shift - Multi-Objective Loss Function for Improved Anomaly Fall Detection. ACML (2023)
Reza Basiri, Karim Manji, Francois Harton, Alisha Poonja, Milos R. Popovic, Shehroz S. Khan
Synthesizing Diabetic Foot Ulcer Images with Diffusion Model. CoRR (2023)
Jawaria Nasir, Muhammad Aamir, Zahoor ul Haq, Shehroz S. Khan, Muhammad Yusuf Amin, Muhammad Naeem
A New Approach for Forecasting Crude Oil Prices Based on Stochastic and Deterministic Influences of LMD Using ARIMA and LSTM Models. IEEE Access 11 (2023)
Abeer A. Badawi, Khalid Elgazzar, Bing Ye, Kristine Newman, Alex Mihailidis, Andrea Iaboni, Shehroz S. Khan
Investigating Multimodal Sensor Features Importance to Detect Agitation in People with Dementia. CCECE (2023)
Ali Abedi, Paritosh Bisht, Riddhi Chatterjee, Rachit Agrawal, Vyom Sharma, Dinesh Babu Jayagopi, Shehroz S. Khan
Rehabilitation Exercise Repetition Segmentation and Counting Using Skeletal Body Joints. CRV (2023)
Ali Abedi, Shehroz S. Khan
Detecting Disengagement in Virtual Learning as an Anomaly. CoRR (2022)
Ali Abedi, Faranak Dayyani, Charlene Chu, Shehroz S. Khan
MAISON - Multimodal AI-based Sensor platform for Older Individuals. ICDM (Workshops) (2022)
Reza Basiri, Milos R. Popovic, Shehroz S. Khan
Domain-Specific Deep Learning Feature Extractor for Diabetic Foot Ulcer Detection. ICDM (Workshops) (2022)
Pratik K. Mishra, Andrea Iaboni, Bing Ye, Kristine Newman, Alex Mihailidis, Shehroz S. Khan
Privacy-Protecting Behaviours of Risk Detection in People with Dementia using Videos. CoRR (2022)
Charlene Chu, Rune Nyrup, Simon Donato-Woodger, Kathleen Leslie, Shehroz S. Khan, Corinne Bernett, Amanda Grenier
Examining the technology-mediated cycles of injustice that contribute to digital ageism: Advancing the conceptualization of digital ageism: evidence and implications. PETRA (2022)
Shehroz S. Khan, Ali Abedi
Step Counting with Attention-based LSTM. SSCI (2022)
Stefan Denkovski, Shehroz S. Khan, Brandon Malamis, Sae Young Moon, Bing Ye, Alex Mihailidis
Multi Visual Modality Fall Detection Dataset. CoRR (2022)
Stefan Denkovski, Shehroz S. Khan, Brandon Malamis, Sae Young Moon, Bing Ye, Alex Mihailidis
Multi Visual Modality Fall Detection Dataset. IEEE Access 10 (2022)
Zakary Georgis-Yap, Milos R. Popovic, Shehroz S. Khan
Preictal-Interictal Classification for Seizure Prediction. AI (2022)
Shehroz S. Khan, Ali Abedi
Step Counting with Attention-based LSTM. CoRR (2022)
Ali Abedi, Faranak Dayyani, Charlene Chu, Shehroz S. Khan
MAISON - Multimodal AI-based Sensor platform for Older Individuals. CoRR (2022)
Shehroz S. Khan, Pratik K. Mishra, Nizwa Javed, Bing Ye, Kristine Newman, Alex Mihailidis, Andrea Iaboni
Unsupervised Deep Learning to Detect Agitation From Videos in People With Dementia. IEEE Access 10 (2022)
Shehroz S. Khan, Ali Abedi, Tracey Colella
Inconsistencies in Measuring Student Engagement in Virtual Learning - A Critical Review. CoRR (2022)
Shehroz S. Khan, Ziting Shen, Haoying Sun, Ax Patel, Ali Abedi
Supervised Contrastive Learning for Detecting Anomalous Driving Behaviours from Multimodal Videos. CRV (2022)
Leia C. Shum, Reza Faieghi, Terry Borsook, Tamim Faruk, Souraiya Kassam, Hoda Nabavi, Sofija Spasojevic, James Tung, Shehroz S. Khan, Andrea Iaboni
Indoor Location Data for Tracking Human Behaviours: A Scoping Review. Sensors 22 (3) (2022)
Sofija Spasojevic, Antenor Rodrigues, Kimia Mahdaviani, W. Darlene Reid, Alex Mihailidis, Shehroz S. Khan
Onset and Offset Detection of Respiratory EMG Data Based on Energy Operator Signal. EMBC (2021)
Shehroz S. Khan, Thaejaesh Sooriyakumaran, Richard K. Brewer, Sofija Spasojevic, Bing Ye, Kristine Newman, Andrea Iaboni, Alex Mihailidis
Tracking agitation in people living with dementia in a care environment. Canadian Conference on AI (2021)
Shehroz S. Khan, Thaejaesh Sooriyakumaran, Katherine Rich, Sofija Spasojevic, Bing Ye, Kristine Newman, Andrea Iaboni, Alex Mihailidis
Tracking agitation in people living with dementia in a care environment. CoRR (2021)
Shehroz S. Khan, Ziting Shen, Haoying Sun, Ax Patel, Ali Abedi
Modified Supervised Contrastive Learning for Detecting Anomalous Driving Behaviours. CoRR (2021)
Shehroz S. Khan, Faraz Khoshbakhtian, Ahmed Bilal Ashraf
Anomaly Detection Approach to Identify Early Cases in a Pandemic using Chest X-rays. Canadian Conference on AI (2021)
Ali Abedi, Shehroz S. Khan
Improving state-of-the-art in Detecting Student Engagement with Resnet and TCN Hybrid Network. CoRR (2021)
Amir Ahmad, Shehroz S. Khan
-A novel initial partition generation algorithm for clustering mixed data using k-means-based clustering. Expert Syst. Appl. 167 (2021)
Shehroz S. Khan, Jacob Nogas, Alex Mihailidis
Spatio-temporal adversarial learning for detecting unseen falls. Pattern Anal. Appl. 24 (1) (2021)
Ali Abedi, Shehroz S. Khan
Improving state-of-the-art in Detecting Student Engagement with Resnet and TCN Hybrid Network. CRV (2021)
Ali Abedi, Shehroz S. Khan
Affect-driven Engagement Measurement from Videos. CoRR (2021)
Sofija Spasojevic, Jacob Nogas, Andrea Iaboni, Bing Ye, Alex Mihailidis, A. Wang, S. J. Li, Lori Schindel Martin, Kristine Newman, Shehroz S. Khan
A Pilot Study to Detect Agitation in People Living with Dementia Using Multi-Modal Sensors. J. Heal. Informatics Res. 5 (3) (2021)
Vineet Mehta, Abhinav Dhall, Sujata Pal, Shehroz S. Khan
Motion and Region Aware Adversarial Learning for Fall Detection with Thermal Imaging. CoRR (2020)
Vineet Mehta, Abhinav Dhall, Sujata Pal, Shehroz S. Khan
Motion and Region Aware Adversarial Learning for Fall Detection with Thermal Imaging. ICPR (2020)
Mohd Yousuf Ansari, Amir Ahmad, Shehroz S. Khan, Gopal Bhushan, Mainuddin
Spatiotemporal clustering: a review. Artif. Intell. Rev. 53 (4) (2020)
Ali Abedi, Shehroz S. Khan
FedSL: Federated Split Learning on Distributed Sequential Data in Recurrent Neural Networks. CoRR (2020)
Jacob Nogas, Shehroz S. Khan, Alex Mihailidis
DeepFall: Non-Invasive Fall Detection with Deep Spatio-Temporal Convolutional Autoencoders. J. Heal. Informatics Res. 4 (1) (2020)
Faraz Khoshbakhtian, Ahmed Bilal Ashraf, Shehroz S. Khan
COVIDomaly: A Deep Convolutional Autoencoder Approach for Detecting Early Cases of COVID-19. CoRR (2020)
Shehroz S. Khan, Jacob Nogas, Alex Mihailidis
Spatio-Temporal Adversarial Learning for Detecting Unseen Falls. CoRR (2019)
Amir Ahmad, Shehroz S. Khan
Survey of State-of-the-Art Mixed Data Clustering Algorithms. IEEE Access 7 (2019)
Amir Ahmad, Shehroz S. Khan
A Novel Initial Clusters Generation Method for K-means-based Clustering Algorithms for Mixed Datasets. CoRR (2019)
Bing Ye, Shehroz S. Khan, Belkacem Chikhaoui, Andrea Iaboni, Lori Schindel Martin, Kristine Newman, Angel He Wang, Alex Mihailidis
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 25 (5) (2019)
Shehroz S. Khan, Amir Ahmad, Alex Mihailidis
Bootstrapping and multiple imputation ensemble approaches for classification problems. J. Intell. Fuzzy Syst. 37 (6) (2019)
Jan Lim, Shehroz S. Khan, Aditya Pandya, Clodagh M. Ryan, Ahmed Haleem, Niveca Sivakulam, Hosna Sahak, Adnan Ul Haq, Kori Macarthur, Hisham Alshaer
Diagnosis of Obstructive Sleep Apnea during Wakefulness Using Upper Airway Negative Pressure and Machine Learning. EMBC (2019)
Shehroz S. Khan, Sofija Spasojevic, Jacob Nogas, Bing Ye, Alex Mihailidis, Andrea Iaboni, Angel He Wang, Lori Schindel Martin, Kristine Newman
Agitation Detection in People Living with Dementia using Multimodal Sensors. EMBC (2019)
Ahmed Ashraf, Shehroz S. Khan, Nikhil Bhagwat, M. Mallar Chakravarty, Babak Taati
Learning to Unlearn: Building Immunity to Dataset Bias in Medical Imaging Studies. CoRR (2018)
Jacob Nogas, Shehroz S. Khan, Alex Mihailidis
DeepFall - Non-invasive Fall Detection with Deep Spatio-Temporal Convolutional Autoencoders. CoRR (2018)
Amir Ahmad, Shehroz S. Khan, Ajay Kumar
Learning regression problems by using classifiers. J. Intell. Fuzzy Syst. 35 (1) (2018)
Amir Ahmad, Shehroz S. Khan
A Survey of Mixed Data Clustering Algorithms. CoRR (2018)
Shehroz S. Khan, Amir Ahmad
Relationship between Variants of One-Class Nearest Neighbors and Creating Their Accurate Ensembles. IEEE Trans. Knowl. Data Eng. 30 (9) (2018)
Shehroz S. Khan, Amir Ahmad, Alex Mihailidis
Bootstrapping and Multiple Imputation Ensemble Approaches for Missing Data. CoRR (2018)
Chao Bian, Shehroz S. Khan, Alex Mihailidis
Infusing Domain Knowledge to Improve the Detection of Alzheimer's Disease from Everyday Motion Behaviour. Canadian Conference on AI (2018)
Shehroz S. Khan, Tong Zhu, Bing Ye, Alex Mihailidis, Andrea Iaboni, Kristine Newman, Angel He Wang, Lori Schindel Martin
DAAD: A Framework for Detecting Agitation and Aggression in People Living with Dementia Using a Novel Multi-modal Sensor Network. ICDM Workshops (2017)
Shehroz S. Khan, Babak Taati
Detecting unseen falls from wearable devices using channel-wise ensemble of autoencoders. Expert Syst. Appl. 87 (2017)
Shehroz S. Khan, Michelle E. Karg, Dana Kulic, Jesse Hoey
Detecting falls with X-Factor Hidden Markov Models. Appl. Soft Comput. 55 (2017)
Shehroz S. Khan, Babak Taati
Detecting Unseen Falls from Wearable Devices using Channel-wise Ensemble of Autoencoders. CoRR (2016)
Shehroz S. Khan, Jesse Hoey
: decision-theoretic framework to report unseen falls. PervasiveHealth (2016)
Shehroz S. Khan, Jesse Hoey
Review of Fall Detection Techniques: A Data Availability Perspective. CoRR (2016)
Shehroz S. Khan, Amir Ahmad
Equivalence Among Different Variants of One-Class Nearest Neighbours and Creating Their Accurate Ensembles. CoRR (2016)
Shehroz S. Khan, Michelle E. Karg, Dana Kulic, Jesse Hoey
Detecting falls with X-Factor HMMs when the training data for falls is not available. CoRR (2015)
Marek Grzes, Jesse Hoey, Shehroz S. Khan, Alex Mihailidis, Stephen Czarnuch, Daniel Jackson, Andrew Monk
Relational approach to knowledge engineering for POMDP-based assistance systems as a translation of a psychological model. Int. J. Approx. Reason. 55 (1) (2014)
Shehroz S. Khan, Michael G. Madden
One-class classification: taxonomy of study and review of techniques. Knowl. Eng. Rev. 29 (3) (2014)
Shehroz S. Khan, Michelle E. Karg, Dana Kulic, Jesse Hoey
X-Factor HMMs for Detecting Falls in the Absence of Fall-Specific Training Data. IWAAL (2014)
Shehroz S. Khan
A Probabilistic Framework for Detecting Unusual Events in Mobile Sensor Networks. Canadian Conference on AI (2013)
Shehroz S. Khan, Michael G. Madden
One-Class Classification: Taxonomy of Study and Review of Techniques. CoRR (2013)
Shehroz S. Khan, Amir Ahmad
Cluster center initialization algorithm for K-modes clustering. Expert Syst. Appl. 40 (18) (2013)
Shehroz S. Khan, Amir Ahmad
Cluster Center Initialization for Categorical Data Using Multiple Attribute Clustering. MultiClust@SDM (2012)
Shehroz S. Khan, Jesse Hoey, Daniel J. Lizotte
Bayesian Multiple Imputation Approaches for One-Class Classification. Canadian Conference on AI (2012)
Marek Grzes, Jesse Hoey, Shehroz S. Khan, Alex Mihailidis, Stephen Czarnuch, Daniel Jackson, Andrew Monk
Relational Approach to Knowledge Engineering for POMDP-based Assistance Systems as a Translation of a Psychological Model CoRR (2012)
Shehroz S. Khan, Daniel Vogel
Evaluating Visual Aesthetics in Photographic Portraiture. CAe@Expressive (2012)
Shehroz S. Khan, Michelle E. Karg, Jesse Hoey, Dana Kulic
Towards the detection of unusual temporal events during activities using HMMs. UbiComp (2012)
Shehroz S. Khan, Michael G. Madden
A Survey of Recent Trends in One Class Classification. AICS (2009)
Shehroz S. Khan, Shri Kant
Computation of Initial Modes for K-modes Clustering Algorithm Using Evidence Accumulation. IJCAI (2007)
Shri Kant, Shehroz S. Khan
Analyzing a class of pseudo-random bit generator through inductive machine learning paradigm. Intell. Data Anal. 10 (6) (2006)
Shehroz S. Khan, Amir Ahmad
Cluster center initialization algorithm for K-means clustering. Pattern Recognit. Lett. 25 (11) (2004)
Amir Ahmad, Shehroz S. Khan
Generating K-Prototype Points for Unsupervised Learning. IICAI (2003)

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Publication Activity (10 Years)

Top Topics

Top Venues

Shehroz S. Khan