Generating K-Prototype Points for Unsupervised Learning. - Amir Ahmad; Shehroz S. Khan (IICAI, 2003)

Cluster center initialization algorithm for K-means clustering. - Shehroz S. Khan; Amir Ahmad (Pattern Recognit. Lett., 2004)

Analyzing a class of pseudo-random bit generator through inductive machine learning paradigm. - Shri Kant; Shehroz S. Khan (Intell. Data Anal., 2006)

Computation of Initial Modes for K-modes Clustering Algorithm Using Evidence Accumulation. - Shehroz S. Khan; Shri Kant (IJCAI, 2007)

A Survey of Recent Trends in One Class Classification. - Shehroz S. Khan; Michael G. Madden (AICS, 2009)

Bayesian Multiple Imputation Approaches for One-Class Classification. - Shehroz S. Khan; Jesse Hoey; Daniel J. Lizotte (Canadian AI, 2012)

Evaluating Visual Aesthetics in Photographic Portraiture. - Shehroz S. Khan; Daniel Vogel 001 (CAe@Expressive, 2012)

Towards the detection of unusual temporal events during activities using HMMs. - Shehroz S. Khan; Michelle E. Karg; Jesse Hoey; Dana Kulic (UbiComp, 2012)

Cluster Center Initialization for Categorical Data Using Multiple Attribute Clustering. - Shehroz S. Khan; Amir Ahmad (MultiClust@SDM, 2012)

A Probabilistic Framework for Detecting Unusual Events in Mobile Sensor Networks. - Shehroz S. Khan (Canadian AI, 2013)

Cluster center initialization algorithm for K-modes clustering. - Shehroz S. Khan; Amir Ahmad (Expert Syst. Appl., 2013)

X-Factor HMMs for Detecting Falls in the Absence of Fall-Specific Training Data. - Shehroz S. Khan; Michelle E. Karg; Dana Kulic; Jesse Hoey (IWAAL, 2014)

Relational approach to knowledge engineering for POMDP-based assistance systems as a translation of a psychological model. - Marek Grzes; Jesse Hoey; Shehroz S. Khan; Alex Mihailidis; Stephen Czarnuch; Daniel Jackson 002; Andrew Monk (Int. J. Approx. Reason., 2014)

One-class classification: taxonomy of study and review of techniques. - Shehroz S. Khan; Michael G. Madden (Knowl. Eng. Rev., 2014)

Detecting falls with X-Factor HMMs when the training data for falls is not available. - Shehroz S. Khan; Michelle E. Karg; Dana Kulic; Jesse Hoey (CoRR, 2015)

dtFall: decision-theoretic framework to report unseen falls. - Shehroz S. Khan; Jesse Hoey (PervasiveHealth, 2016)

Equivalence Among Different Variants of One-Class Nearest Neighbours and Creating Their Accurate Ensembles. - Shehroz S. Khan; Amir Ahmad (CoRR, 2016)

Review of Fall Detection Techniques: A Data Availability Perspective. - Shehroz S. Khan; Jesse Hoey (CoRR, 2016)

Classification and Decision-Theoretic Framework for Detecting and Reporting Unseen Falls. - Shehroz S. Khan (2016)

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 Newman; Angel He Wang; Lori Schindel Martin (ICDM Workshops, 2017)

Detecting falls with X-Factor Hidden Markov Models. - Shehroz S. Khan; Michelle E. Karg; Dana Kulic; Jesse Hoey (Appl. Soft Comput., 2017)

Detecting unseen falls from wearable devices using channel-wise ensemble of autoencoders. - Shehroz S. Khan; Babak Taati (Expert Syst. Appl., 2017)

Infusing Domain Knowledge to Improve the Detection of Alzheimer's Disease from Everyday Motion Behaviour. - Chao Bian 004; Shehroz S. Khan; Alex Mihailidis (Canadian AI, 2018)

Bootstrapping and Multiple Imputation Ensemble Approaches for Missing Data. - Shehroz S. Khan; Amir Ahmad; Alex Mihailidis (CoRR, 2018)

A Survey of Mixed Data Clustering Algorithms. - Amir Ahmad; Shehroz S. Khan (CoRR, 2018)

Learning to Unlearn: Building Immunity to Dataset Bias in Medical Imaging Studies. - Ahmed Ashraf 001; Shehroz S. Khan; Nikhil Bhagwat; M. Mallar Chakravarty; Babak Taati (CoRR, 2018)

Learning regression problems by using classifiers. - Amir Ahmad; Shehroz S. Khan; Ajay Kumar 003 (J. Intell. Fuzzy Syst., 2018)

Relationship between Variants of One-Class Nearest Neighbors and Creating Their Accurate Ensembles. - Shehroz S. Khan; Amir Ahmad (IEEE Trans. Knowl. Data Eng., 2018)

Agitation Detection in People Living with Dementia using Multimodal Sensors. - Shehroz S. Khan; Sofija Spasojevic; Jacob Nogas; Bing Ye; Alex Mihailidis; Andrea Iaboni; Angel He Wang; Lori Schindel Martin; Kristine Newman (EMBC, 2019)

Diagnosis of Obstructive Sleep Apnea during Wakefulness Using Upper Airway Negative Pressure and Machine Learning. - Jan Lim; Shehroz S. Khan; Aditya Pandya; Clodagh M. Ryan; Ahmed Haleem; Niveca Sivakulam; Hosna Sahak; Adnan Ul Haq; Kori Macarthur; Hisham Alshaer (EMBC, 2019)

Survey of State-of-the-Art Mixed Data Clustering Algorithms. - Amir Ahmad; Shehroz S. Khan (IEEE Access, 2019)

A Novel Initial Clusters Generation Method for K-means-based Clustering Algorithms for Mixed Datasets. - Amir Ahmad; Shehroz S. Khan (CoRR, 2019)

Bootstrapping and multiple imputation ensemble approaches for classification problems. - Shehroz S. Khan; Amir Ahmad; Alex Mihailidis (J. Intell. Fuzzy Syst., 2019)

Challenges in Collecting Big Data in A Clinical Environment with Vulnerable Population: Lessons Learned from A Study Using A Multi-modal Sensors Platform. - Bing Ye; Shehroz S. Khan; Belkacem Chikhaoui; Andrea Iaboni; Lori Schindel Martin; Kristine Newman; Angel He Wang; Alex Mihailidis (Sci. Eng. Ethics, 2019)

Motion and Region Aware Adversarial Learning for Fall Detection with Thermal Imaging. - Vineet Mehta; Abhinav Dhall; Sujata Pal; Shehroz S. Khan (ICPR, 2020)

Spatiotemporal clustering: a review. - Mohd Yousuf Ansari; Amir Ahmad; Shehroz S. Khan; Gopal Bhushan; Mainuddin (Artif. Intell. Rev., 2020)

COVIDomaly: A Deep Convolutional Autoencoder Approach for Detecting Early Cases of COVID-19. - Faraz Khoshbakhtian; Ahmed Bilal Ashraf; Shehroz S. Khan (CoRR, 2020)

DeepFall: Non-Invasive Fall Detection with Deep Spatio-Temporal Convolutional Autoencoders. - Jacob Nogas; Shehroz S. Khan; Alex Mihailidis (J. Heal. Informatics Res., 2020)

Anomaly Detection Approach to Identify Early Cases in a Pandemic using Chest X-rays. - Shehroz S. Khan; Faraz Khoshbakhtian; Ahmed Bilal Ashraf (Canadian AI, 2021)

Tracking agitation in people living with dementia in a care environment. - Shehroz S. Khan; Thaejaesh Sooriyakumaran; Richard K. Brewer; Sofija Spasojevic; Bing Ye; Kristine Newman; Andrea Iaboni; Alex Mihailidis (Canadian AI, 2021)

Improving state-of-the-art in Detecting Student Engagement with Resnet and TCN Hybrid Network. - Ali Abedi 003; Shehroz S. Khan (CRV, 2021)

Onset and Offset Detection of Respiratory EMG Data Based on Energy Operator Signal. - Sofija Spasojevic; Antenor Rodrigues; Kimia Mahdaviani; W. Darlene Reid; Alex Mihailidis; Shehroz S. Khan (EMBC, 2021)

Tracking agitation in people living with dementia in a care environment. - Shehroz S. Khan; Thaejaesh Sooriyakumaran; Katherine Rich; Sofija Spasojevic; Bing Ye; Kristine Newman; Andrea Iaboni; Alex Mihailidis (CoRR, 2021)

Affect-driven Engagement Measurement from Videos. - Ali Abedi 003; Shehroz S. Khan (CoRR, 2021)

Modified Supervised Contrastive Learning for Detecting Anomalous Driving Behaviours. - Shehroz S. Khan; Ziting Shen; Haoying Sun; Ax Patel; Ali Abedi 003 (CoRR, 2021)

initKmix-A novel initial partition generation algorithm for clustering mixed data using k-means-based clustering. - Amir Ahmad; Shehroz S. Khan (Expert Syst. Appl., 2021)

A Pilot Study to Detect Agitation in People Living with Dementia Using Multi-Modal Sensors. - Sofija Spasojevic; Jacob Nogas; Andrea Iaboni; Bing Ye; Alex Mihailidis; A. Wang; S. J. Li; Lori Schindel Martin; Kristine Newman; Shehroz S. Khan (J. Heal. Informatics Res., 2021)

Spatio-temporal adversarial learning for detecting unseen falls. - Shehroz S. Khan; Jacob Nogas; Alex Mihailidis (Pattern Anal. Appl., 2021)

Preictal-Interictal Classification for Seizure Prediction. - Zakary Georgis-Yap; Milos R. Popovic; Shehroz S. Khan (Canadian AI, 2022)

Supervised Contrastive Learning for Detecting Anomalous Driving Behaviours from Multimodal Videos. - Shehroz S. Khan; Ziting Shen; Haoying Sun; Ax Patel; Ali Abedi 003 (CRV, 2022)

MAISON - Multimodal AI-based Sensor platform for Older Individuals. - Ali Abedi 003; Faranak Dayyani; Charlene H. Chu; Shehroz S. Khan (ICDM (Workshops), 2022)

Domain-Specific Deep Learning Feature Extractor for Diabetic Foot Ulcer Detection. - Reza Basiri; Milos R. Popovic; Shehroz S. Khan (ICDM (Workshops), 2022)

Examining the technology-mediated cycles of injustice that contribute to digital ageism: Advancing the conceptualization of digital ageism: evidence and implications. - Charlene H. Chu; Rune Nyrup; Simon Donato-Woodger; Kathleen Leslie; Shehroz S. Khan; Corinne Bernett; Amanda Grenier (PETRA, 2022)

Step Counting with Attention-based LSTM. - Shehroz S. Khan; Ali Abedi 003 (SSCI, 2022)

Multi Visual Modality Fall Detection Dataset. - Stefan Denkovski; Shehroz S. Khan; Brandon Malamis; Sae Young Moon; Bing Ye; Alex Mihailidis (IEEE Access, 2022)

Unsupervised Deep Learning to Detect Agitation From Videos in People With Dementia. - Shehroz S. Khan; Pratik K. Mishra; Nizwa Javed; Bing Ye; Kristine Newman; Alex Mihailidis; Andrea Iaboni (IEEE Access, 2022)

Inconsistencies in Measuring Student Engagement in Virtual Learning - A Critical Review. - Shehroz S. Khan; Ali Abedi 003; Tracey J. F. Colella (CoRR, 2022)

Detecting Disengagement in Virtual Learning as an Anomaly. - Ali Abedi 003; Shehroz S. Khan (CoRR, 2022)

Privacy-Protecting Behaviours of Risk Detection in People with Dementia using Videos. - Pratik K. Mishra; Andrea Iaboni; Bing Ye; Kristine Newman; Alex Mihailidis; Shehroz S. Khan (CoRR, 2022)

Indoor Location Data for Tracking Human Behaviours: A Scoping Review. - Leia C. Shum; Reza Faieghi; Terry Borsook; Tamim Faruk; Souraiya Kassam; Hoda Nabavi; Sofija Spasojevic; James Tung; Shehroz S. Khan; Andrea Iaboni (Sensors, 2022)

Temporal Shift - Multi-Objective Loss Function for Improved Anomaly Fall Detection. - Stefan Denkovski; Shehroz S. Khan; Alex Mihailidis (ACML, 2023)

Investigating Multimodal Sensor Features Importance to Detect Agitation in People with Dementia. - Abeer A. Badawi; Khalid Elgazzar; Bing Ye; Kristine Newman; Alex Mihailidis; Andrea Iaboni; Shehroz S. Khan (CCECE, 2023)

Rehabilitation Exercise Repetition Segmentation and Counting Using Skeletal Body Joints. - Ali Abedi 003; Paritosh Bisht; Riddhi Chatterjee; Rachit Agrawal; Vyom Sharma; Dinesh Babu Jayagopi; Shehroz S. Khan (CRV, 2023)

Empirical Thresholding on Spatio-Temporal Autoencoders Trained on Surveillance Videos in a Dementia Care Unit. - Shehroz S. Khan; Pratik K. Mishra; Bing Ye; Kristine Newman; Andrea Iaboni; Alex Mihailidis (CRV, 2023)

Assessing Frailty Using Behavioral and Physical Health Data in Everyday Living Settings. - Chao Bian 004; Shehroz S. Khan; Alex Mihailidis (PKDD/ECML Workshops (4), 2023)

Cross-Modal Video to Body-Joints Augmentation for Rehabilitation Exercise Quality Assessment. - Ali Abedi 003; Mobin Malmirian; Shehroz S. Khan (PKDD/ECML Workshops (4), 2023)

Synthesizing Diabetic Foot Ulcer Images with Diffusion Model. - Reza Basiri; Karim Manji; Francois Harton; Alisha Poonja; Milos R. Popovic; Shehroz S. Khan (PKDD/ECML Workshops (4), 2023)

A New Approach for Forecasting Crude Oil Prices Based on Stochastic and Deterministic Influences of LMD Using ARIMA and LSTM Models. - Jawaria Nasir; Muhammad Aamir 003; Zahoor ul Haq; Shehroz S. Khan; Muhammad Yusuf Amin; Muhammad Naeem 001 (IEEE Access, 2023)

Undersampling and Cumulative Class Re-decision Methods to Improve Detection of Agitation in People with Dementia. - Zhidong Meng; Andrea Iaboni; Bing Ye; Kristine Newman; Alex Mihailidis; Zhihong Deng; Shehroz S. Khan (CoRR, 2023)

Walking path images from real-time location data predict degree of cognitive impairment. - Tamim Faruk; Leia C. Shum; Andrea Iaboni; Shehroz S. Khan (Artif. Intell. Medicine, 2023)

Detecting disengagement in virtual learning as an anomaly using temporal convolutional network autoencoder. - Ali Abedi 003; Shehroz S. Khan (Signal Image Video Process., 2023)

TransformerChrome: Transformer-based Model for Prediction of Gene Expression from Histone Modifications. - Muhammad Tahir; Shehroz Khan 001; James R. Davie; Soichiro Yamanaka; Ahmed Ashraf 001 (Canadian AI, 2024)

Diminishing Simplicity Bias using GAN Generated Unbiased Augmentations. - Anshul Verma; Shehroz Khan 001 (Canadian AI, 2024)

Revisiting Annotations in Online Student Engagement. - Shehroz Khan 001; Sadaf Safa (ICCDE, 2024)

Engagement Measurement Based on Facial Landmarks and Spatial-Temporal Graph Convolutional Networks. - Ali Abedi 003; Shehroz S. Khan (ICPR (13), 2024)

UlcerGPT: A Multimodal Approach Leveraging Large Language and Vision Models for Diabetic Foot Ulcer Image Transcription. - Reza Basiri; Ali Abedi 003; Chau Nguyen; Milos R. Popovic; Shehroz S. Khan (ICPR (Workshops and Challenges, 5), 2024)

Ensemble of Autoencoders for Anomaly Detection in Biomedical Data: A Narrative Review. - Ali Nawaz; Shehroz S. Khan; Amir Ahmad (IEEE Access, 2024)

Artificial intelligence and deep learning algorithms for epigenetic sequence analysis: A review for epigeneticists and AI experts. - Muhammad Tahir; Mahboobeh Norouzi; Shehroz S. Khan; James R. Davie; Soichiro Yamanaka; Ahmed Ashraf 001 (Comput. Biol. Medicine, 2024)

Depth-Weighted Detection of Behaviours of Risk in People with Dementia using Cameras. - Pratik K. Mishra; Irene Ballester; Andrea Iaboni; Bing Ye; Kristine Newman; Alex Mihailidis; Shehroz S. Khan (CoRR, 2024)

Affect-driven ordinal engagement measurement from video. - Ali Abedi 003; Shehroz S. Khan (Multim. Tools Appl., 2024)

Artificial intelligence-driven virtual rehabilitation for people living in the community: A scoping review. - Ali Abedi 003; Tracey J. F. Colella; Maureen Pakosh; Shehroz S. Khan (npj Digit. Medicine, 2024)

Bag of states: a non-sequential approach to video-based engagement measurement. - Ali Abedi 003; Chinchu Thomas; Dinesh Babu Jayagopi; Shehroz S. Khan (Multim. Syst., 2024)

VolPAM: Volumetric Phenotype-Activation-Map for data-driven discovery of 3D imaging phenotypes and interpretability. - Mahboobeh Norouzi; Shehroz S. Khan; Ahmed Ashraf 001 (Neural Comput. Appl., 2024)

FedSL: Federated split learning on distributed sequential data in recurrent neural networks. - Ali Abedi 003; Shehroz S. Khan (Multim. Tools Appl., 2024)

Skeletal Video Anomaly Detection Using Deep Learning: Survey, Challenges, and Future Directions. - Pratik K. Mishra; Alex Mihailidis; Shehroz S. Khan (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Supervised and Unsupervised Deep Learning Approaches for EEG Seizure Prediction. - Zakary Georgis-Yap; Milos R. Popovic; Shehroz S. Khan (J. Heal. Informatics Res., 2024)

Correlations between Social Isolation and Functional Decline in Older Adults after Lower Limb Fractures Using Multimodal Sensors: A Pilot Study. - Faranak Dayyani; Charlene H. Chu; Ali Abedi 003; Shehroz S. Khan (Algorithms, 2024)

Explaining Recovery Trajectories of Older Adults Post Lower-Limb Fracture Using Modality-Wise Multiview Clustering and Large Language Models. - Shehroz S. Khan; Ali Abedi 003; Charlene H. Chu (DaWaK, 2025)

One-class classification with node embedding type features. - Amir Ahmad; Shehroz S. Khan (Inf. Sci., 2025)

LOCO-EPI: Leave-one-chromosome-out (LOCO) as a benchmarking paradigm for deep learning based prediction of enhancer-promoter interactions. - Muhammad Tahir; Shehroz S. Khan; James R. Davie; Soichiro Yamanaka; Ahmed Ashraf 001 (Appl. Intell., 2025)

Multimodal Sensor Dataset for Monitoring Older Adults Post Lower-Limb Fractures in Community Settings. - Ali Abedi 003; Charlene H. Chu; Shehroz S. Khan (CoRR, 2025)

Rehabilitation exercise quality assessment through supervised contrastive learning with hard and soft negatives. - Mark Karlov; Ali Abedi 003; Shehroz S. Khan (Medical Biol. Eng. Comput., 2025)

Rehabilitation Exercise Quality Assessment and Feedback Generation Using Large Language Models with Prompt Engineering. - Jessica Tang; Ali Abedi 003; Tracey J. F. Colella; Shehroz S. Khan (CoRR, 2025)

Supervised Contrastive Learning for Ordinal Engagement Measurement. - Sadaf Safa; Ali Abedi 003; Shehroz S. Khan (CoRR, 2025)

Benchmarking Early Agitation Prediction in Community-Dwelling People with Dementia Using Multimodal Sensors and Machine Learning. - Ali Abedi 003; Charlene H. Chu; Shehroz S. Khan (CoRR, 2025)

ChestGPT: Integrating Large Language Models and Vision Transformers for Disease Detection and Localization in Chest X-Rays. - Shehroz S. Khan; Petar Przulj; Ahmed Ashraf 001; Ali Abedi 003 (CoRR, 2025)

OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments. - Ali Abedi 003; Sadaf Safa; Tracey J. F. Colella; Shehroz S. Khan (CoRR, 2025)

A Novel Multi-Modal Sensor Dataset and Benchmark to Detect Agitation in People Living with Dementia in a Residential Care Setting. - Shehroz S. Khan; Pratik K. Mishra; Bing Ye; Smit Patel; Kristine Newman; Alex Mihailidis; Andrea Iaboni (ACM Trans. Comput. Heal., 2025)