Shehroz S. Khan

124 papers A* 1B 2C 1Misc 1Journal 89Unranked 29
YearRankTypeTitle / Venue / Authors
2026 J jnl
A longitudinal geospatial multimodal dataset of post-discharge frailty, physiology, mobility, and neighborhoods.
CoRR
Ali Abedi, Charlene H. Chu, Shehroz S. Khan
2026 J jnl
Imputation of Multi-Dimensional High-Frequency Climate Data to Predict Air and Surface Temperatures in Kuwait.
Inf.
Shehroz S. Khan, Rami Al-Hajj
2025 J jnl
A Novel Multi-Modal Sensor Dataset and Benchmark to Detect Agitation in People Living with Dementia in a Residential Care Setting.
ACM Trans. Comput. Heal.
Shehroz S. Khan, Pratik K. Mishra, Bing Ye, Smit Patel, Kristine Newman, Alex Mihailidis, Andrea Iaboni
2025 J jnl
Accessible healing phase classification of diabetic foot ulcer.
Comput. Biol. Medicine
Reza Basiri, Charles de Mestral, Milos R. Popovic, Shehroz S. Khan
2025 J jnl
Artificial Intelligence and Deep Learning Algorithms for Epigenetic Sequence Analysis: A Review for Epigeneticists and AI Experts.
CoRR
Muhammad Tahir, Mahboobeh Norouzi, Shehroz S. Khan, James R. Davie, Soichiro Yamanaka, Ahmed Ashraf
2025 J jnl
Benchmarking Early Agitation Prediction in Community-Dwelling People with Dementia Using Multimodal Sensors and Machine Learning.
CoRR
Ali Abedi, Charlene H. Chu, Shehroz S. Khan
2025 J jnl
Beyond Rebalancing: Benchmarking Binary Classifiers Under Class Imbalance Without Rebalancing Techniques.
CoRR
Ali Nawaz, Amir Ahmad, Shehroz S. Khan
2025 J jnl
ChestGPT: Integrating Large Language Models and Vision Transformers for Disease Detection and Localization in Chest X-Rays.
CoRR
Shehroz S. Khan, Petar Przulj, Ahmed Ashraf, Ali Abedi
2025 B conf
Explaining Recovery Trajectories of Older Adults Post Lower-Limb Fracture Using Modality-Wise Multiview Clustering and Large Language Models.
DaWaK
Shehroz S. Khan, Ali Abedi, Charlene H. Chu
2025 J jnl
Explaining Recovery Trajectories of Older Adults Post Lower-Limb Fracture Using Modality-wise Multiview Clustering and Large Language Models.
CoRR
Shehroz S. Khan, Ali Abedi, Charlene H. Chu
2025 J jnl
HEART-Watch: A multimodal physiological dataset from a Google Pixel Watch across different physical states.
CoRR
Jathushan Kaetheeswaran, Boyi Ma, Ali Abedi, Milad Lankarany, Shehroz S. Khan
2025 J jnl
LOCO-EPI: Leave-one-chromosome-out (LOCO) as a benchmarking paradigm for deep learning based prediction of enhancer-promoter interactions.
Appl. Intell.
Muhammad Tahir, Shehroz S. Khan, James R. Davie, Soichiro Yamanaka, Ahmed Ashraf
2025 J jnl
LOCO-EPI: Leave-one-chromosome-out (LOCO) as a benchmarking paradigm for deep learning based prediction of enhancer-promoter interactions.
CoRR
Muhammad Tahir, Shehroz S. Khan, James R. Davie, Soichiro Yamanaka, Ahmed Ashraf
2025 J jnl
Mitigating Digital Ageism in Skin Lesion Detection with Adversarial Learning.
Algorithms
Shehroz S. Khan, Tianyu Shi, Simon Donato-Woodger, Charlene H. Chu
2025 J jnl
Multimodal Sensor Dataset for Monitoring Older Adults Post Lower-Limb Fractures in Community Settings.
CoRR
Ali Abedi, Charlene H. Chu, Shehroz S. Khan
2025 J jnl
OPEN: A Benchmark Dataset and Baseline for Older Adult Patient Engagement Recognition in Virtual Rehabilitation Learning Environments.
CoRR
Ali Abedi, Sadaf Safa, Tracey J. F. Colella, Shehroz S. Khan
2025 J jnl
One-class classification with node embedding type features.
Inf. Sci.
Amir Ahmad, Shehroz S. Khan
2025 J jnl
Rehabilitation Exercise Quality Assessment and Feedback Generation Using Large Language Models with Prompt Engineering.
CoRR
Jessica Tang, Ali Abedi, Tracey J. F. Colella, Shehroz S. Khan
2025 J jnl
Rehabilitation exercise quality assessment through supervised contrastive learning with hard and soft negatives.
Medical Biol. Eng. Comput.
Mark Karlov, Ali Abedi, Shehroz S. Khan
2025 J jnl
Supervised Contrastive Learning for Ordinal Engagement Measurement.
CoRR
Sadaf Safa, Ali Abedi, Shehroz S. Khan
2024 J jnl
Affect-driven ordinal engagement measurement from video.
Multim. Tools Appl.
Ali Abedi, Shehroz S. Khan
2024 J jnl
Artificial intelligence and deep learning algorithms for epigenetic sequence analysis: A review for epigeneticists and AI experts.
Comput. Biol. Medicine
Muhammad Tahir, Mahboobeh Norouzi, Shehroz S. Khan, James R. Davie, Soichiro Yamanaka, Ahmed Ashraf
2024 J jnl
Artificial intelligence-driven virtual rehabilitation for people living in the community: A scoping review.
npj Digit. Medicine
Ali Abedi, Tracey J. F. Colella, Maureen Pakosh, Shehroz S. Khan
2024 J jnl
Bag of states: a non-sequential approach to video-based engagement measurement.
Multim. Syst.
Ali Abedi, Chinchu Thomas, Dinesh Babu Jayagopi, Shehroz S. Khan
2024 J jnl
Correlations between Social Isolation and Functional Decline in Older Adults after Lower Limb Fractures Using Multimodal Sensors: A Pilot Study.
Algorithms
Faranak Dayyani, Charlene H. Chu, Ali Abedi, Shehroz S. Khan
2024 J jnl
Depth-Weighted Detection of Behaviours of Risk in People with Dementia using Cameras.
CoRR
Pratik K. Mishra, Irene Ballester, Andrea Iaboni, Bing Ye, Kristine Newman, Alex Mihailidis, Shehroz S. Khan
2024 — conf
Engagement Measurement Based on Facial Landmarks and Spatial-Temporal Graph Convolutional Networks.
ICPR (13)
Ali Abedi, Shehroz S. Khan
2024 J jnl
Engagement Measurement Based on Facial Landmarks and Spatial-Temporal Graph Convolutional Networks.
CoRR
Ali Abedi, Shehroz S. Khan
2024 J jnl
Ensemble of Autoencoders for Anomaly Detection in Biomedical Data: A Narrative Review.
IEEE Access
Ali Nawaz, Shehroz S. Khan, Amir Ahmad
2024 J jnl
FedSL: Federated split learning on distributed sequential data in recurrent neural networks.
Multim. Tools Appl.
Ali Abedi, Shehroz S. Khan
2024 J jnl
Rehabilitation Exercise Quality Assessment through Supervised Contrastive Learning with Hard and Soft Negatives.
CoRR
Mark Karlov, Ali Abedi, Shehroz S. Khan
2024 J jnl
Skeletal Video Anomaly Detection Using Deep Learning: Survey, Challenges, and Future Directions.
IEEE Trans. Emerg. Top. Comput. Intell.
Pratik K. Mishra, Alex Mihailidis, Shehroz S. Khan
2024 J jnl
Supervised and Unsupervised Deep Learning Approaches for EEG Seizure Prediction.
J. Heal. Informatics Res.
Zakary Georgis-Yap, Milos R. Popovic, Shehroz S. Khan
2024 — conf
UlcerGPT: A Multimodal Approach Leveraging Large Language and Vision Models for Diabetic Foot Ulcer Image Transcription.
ICPR (Workshops and Challenges, 5)
Reza Basiri, Ali Abedi, Chau Nguyen, Milos R. Popovic, Shehroz S. Khan
2024 J jnl
UlcerGPT: A Multimodal Approach Leveraging Large Language and Vision Models for Diabetic Foot Ulcer Image Transcription.
CoRR
Reza Basiri, Ali Abedi, Chau Nguyen, Milos R. Popovic, Shehroz S. Khan
2024 J jnl
VolPAM: Volumetric Phenotype-Activation-Map for data-driven discovery of 3D imaging phenotypes and interpretability.
Neural Comput. Appl.
Mahboobeh Norouzi, Shehroz S. Khan, Ahmed Ashraf
2023 J jnl
A New Approach for Forecasting Crude Oil Prices Based on Stochastic and Deterministic Influences of LMD Using ARIMA and LSTM Models.
IEEE Access
Jawaria Nasir, Muhammad Aamir, Zahoor ul Haq, Shehroz S. Khan, Muhammad Yusuf Amin, Muhammad Naeem
2023 — conf
Assessing Frailty Using Behavioral and Physical Health Data in Everyday Living Settings.
PKDD/ECML Workshops (4)
Chao Bian, Shehroz S. Khan, Alex Mihailidis
2023 J jnl
Bag of States: A Non-sequential Approach to Video-based Engagement Measurement.
CoRR
Ali Abedi, Chinchu Thomas, Dinesh Babu Jayagopi, Shehroz S. Khan
2023 — conf
Cross-Modal Video to Body-Joints Augmentation for Rehabilitation Exercise Quality Assessment.
PKDD/ECML Workshops (4)
Ali Abedi, Mobin Malmirian, Shehroz S. Khan
2023 J jnl
Cross-Modal Video to Body-joints Augmentation for Rehabilitation Exercise Quality Assessment.
CoRR
Ali Abedi, Mobin Malmirian, Shehroz S. Khan
2023 J jnl
Detecting disengagement in virtual learning as an anomaly using temporal convolutional network autoencoder.
Signal Image Video Process.
Ali Abedi, Shehroz S. Khan
2023 J jnl
Domain-Specific Deep Learning Feature Extractor for Diabetic Foot Ulcer Detection.
CoRR
Reza Basiri, Milos R. Popovic, Shehroz S. Khan
2023 — conf
Empirical Thresholding on Spatio-Temporal Autoencoders Trained on Surveillance Videos in a Dementia Care Unit.
CRV
Shehroz S. Khan, Pratik K. Mishra, Bing Ye, Kristine Newman, Andrea Iaboni, Alex Mihailidis
2023 — conf
Investigating Multimodal Sensor Features Importance to Detect Agitation in People with Dementia.
CCECE
Abeer A. Badawi, Khalid Elgazzar, Bing Ye, Kristine Newman, Alex Mihailidis, Andrea Iaboni, Shehroz S. Khan
2023 — conf
Rehabilitation Exercise Repetition Segmentation and Counting Using Skeletal Body Joints.
CRV
Ali Abedi, Paritosh Bisht, Riddhi Chatterjee, Rachit Agrawal, Vyom Sharma, Dinesh Babu Jayagopi, Shehroz S. Khan
2023 J jnl
Rehabilitation Exercise Repetition Segmentation and Counting using Skeletal Body Joints.
CoRR
Ali Abedi, Paritosh Bisht, Riddhi Chatterjee, Rachit Agrawal, Vyom Sharma, Dinesh Babu Jayagopi, Shehroz S. Khan
2023 J jnl
Skeletal Video Anomaly Detection using Deep Learning: Survey, Challenges and Future Directions.
CoRR
Pratik K. Mishra, Alex Mihailidis, Shehroz S. Khan
2023 J jnl
Supervised and Unsupervised Deep Learning Approaches for EEG Seizure Prediction.
CoRR
Zakary Georgis-Yap, Milos R. Popovic, Shehroz S. Khan
2023 — conf
Synthesizing Diabetic Foot Ulcer Images with Diffusion Model.
PKDD/ECML Workshops (4)
Reza Basiri, Karim Manji, Francois Harton, Alisha Poonja, Milos R. Popovic, Shehroz S. Khan
2023 J jnl
Synthesizing Diabetic Foot Ulcer Images with Diffusion Model.
CoRR
Reza Basiri, Karim Manji, Francois Harton, Alisha Poonja, Milos R. Popovic, Shehroz S. Khan
2023 C conf
Temporal Shift - Multi-Objective Loss Function for Improved Anomaly Fall Detection.
ACML
Stefan Denkovski, Shehroz S. Khan, Alex Mihailidis
2023 J jnl
Temporal Shift - Multi-Objective Loss Function for Improved Anomaly Fall Detection.
CoRR
Stefan Denkovski, Shehroz S. Khan, Alex Mihailidis
2023 J jnl
Undersampling and Cumulative Class Re-decision Methods to Improve Detection of Agitation in People with Dementia.
CoRR
Zhidong Meng, Andrea Iaboni, Bing Ye, Kristine Newman, Alex Mihailidis, Zhihong Deng, Shehroz S. Khan
2023 J jnl
Walking path images from real-time location data predict degree of cognitive impairment.
Artif. Intell. Medicine
Tamim Faruk, Leia C. Shum, Andrea Iaboni, Shehroz S. Khan
2022 J jnl
Detecting Disengagement in Virtual Learning as an Anomaly.
CoRR
Ali Abedi, Shehroz S. Khan
2022 — conf
Domain-Specific Deep Learning Feature Extractor for Diabetic Foot Ulcer Detection.
ICDM (Workshops)
Reza Basiri, Milos R. Popovic, Shehroz S. Khan
2022 — conf
Examining the technology-mediated cycles of injustice that contribute to digital ageism: Advancing the conceptualization of digital ageism: evidence and implications.
PETRA
Charlene H. Chu, Rune Nyrup, Simon Donato-Woodger, Kathleen Leslie, Shehroz S. Khan, Corinne Bernett, Amanda Grenier
2022 J jnl
Inconsistencies in Measuring Student Engagement in Virtual Learning - A Critical Review.
CoRR
Shehroz S. Khan, Ali Abedi, Tracey J. F. Colella
2022 J jnl
Indoor Location Data for Tracking Human Behaviours: A Scoping Review.
Sensors
Leia C. Shum, Reza Faieghi, Terry Borsook, Tamim Faruk, Souraiya Kassam, Hoda Nabavi, Sofija Spasojevic, James Tung, Shehroz S. Khan, Andrea Iaboni
2022 — conf
MAISON - Multimodal AI-based Sensor platform for Older Individuals.
ICDM (Workshops)
Ali Abedi, Faranak Dayyani, Charlene H. Chu, Shehroz S. Khan
2022 J jnl
MAISON - Multimodal AI-based Sensor platform for Older Individuals.
CoRR
Ali Abedi, Faranak Dayyani, Charlene H. Chu, Shehroz S. Khan
2022 J jnl
Multi Visual Modality Fall Detection Dataset.
IEEE Access
Stefan Denkovski, Shehroz S. Khan, Brandon Malamis, Sae Young Moon, Bing Ye, Alex Mihailidis
2022 J jnl
Multi Visual Modality Fall Detection Dataset.
CoRR
Stefan Denkovski, Shehroz S. Khan, Brandon Malamis, Sae Young Moon, Bing Ye, Alex Mihailidis
2022 — conf
Preictal-Interictal Classification for Seizure Prediction.
Canadian AI
Zakary Georgis-Yap, Milos R. Popovic, Shehroz S. Khan
2022 J jnl
Privacy-Protecting Behaviours of Risk Detection in People with Dementia using Videos.
CoRR
Pratik K. Mishra, Andrea Iaboni, Bing Ye, Kristine Newman, Alex Mihailidis, Shehroz S. Khan
2022 — conf
Step Counting with Attention-based LSTM.
SSCI
Shehroz S. Khan, Ali Abedi
2022 J jnl
Step Counting with Attention-based LSTM.
CoRR
Shehroz S. Khan, Ali Abedi
2022 — conf
Supervised Contrastive Learning for Detecting Anomalous Driving Behaviours from Multimodal Videos.
CRV
Shehroz S. Khan, Ziting Shen, Haoying Sun, Ax Patel, Ali Abedi
2022 J jnl
Unsupervised Deep Learning to Detect Agitation From Videos in People With Dementia.
IEEE Access
Shehroz S. Khan, Pratik K. Mishra, Nizwa Javed, Bing Ye, Kristine Newman, Alex Mihailidis, Andrea Iaboni
2021 J jnl
A Pilot Study to Detect Agitation in People Living with Dementia Using Multi-Modal Sensors.
J. Heal. Informatics Res.
Sofija Spasojevic, Jacob Nogas, Andrea Iaboni, Bing Ye, Alex Mihailidis, A. Wang, S. J. Li, Lori Schindel Martin, Kristine Newman, Shehroz S. Khan
2021 J jnl
Affect-driven Engagement Measurement from Videos.
CoRR
Ali Abedi, Shehroz S. Khan
2021 — conf
Anomaly Detection Approach to Identify Early Cases in a Pandemic using Chest X-rays.
Canadian AI
Shehroz S. Khan, Faraz Khoshbakhtian, Ahmed Bilal Ashraf
2021 — conf
Improving state-of-the-art in Detecting Student Engagement with Resnet and TCN Hybrid Network.
CRV
Ali Abedi, Shehroz S. Khan
2021 J jnl
Improving state-of-the-art in Detecting Student Engagement with Resnet and TCN Hybrid Network.
CoRR
Ali Abedi, Shehroz S. Khan
2021 J jnl
Modified Supervised Contrastive Learning for Detecting Anomalous Driving Behaviours.
CoRR
Shehroz S. Khan, Ziting Shen, Haoying Sun, Ax Patel, Ali Abedi
2021 — conf
Onset and Offset Detection of Respiratory EMG Data Based on Energy Operator Signal.
EMBC
Sofija Spasojevic, Antenor Rodrigues, Kimia Mahdaviani, W. Darlene Reid, Alex Mihailidis, Shehroz S. Khan
2021 J jnl
Spatio-temporal adversarial learning for detecting unseen falls.
Pattern Anal. Appl.
Shehroz S. Khan, Jacob Nogas, Alex Mihailidis
2021 — conf
Tracking agitation in people living with dementia in a care environment.
Canadian AI
Shehroz S. Khan, Thaejaesh Sooriyakumaran, Richard K. Brewer, Sofija Spasojevic, Bing Ye, Kristine Newman, Andrea Iaboni, Alex Mihailidis
2021 J jnl
Tracking agitation in people living with dementia in a care environment.
CoRR
Shehroz S. Khan, Thaejaesh Sooriyakumaran, Katherine Rich, Sofija Spasojevic, Bing Ye, Kristine Newman, Andrea Iaboni, Alex Mihailidis
2020 J jnl
COVIDomaly: A Deep Convolutional Autoencoder Approach for Detecting Early Cases of COVID-19.
CoRR
Faraz Khoshbakhtian, Ahmed Bilal Ashraf, Shehroz S. Khan
2020 J jnl
DeepFall: Non-Invasive Fall Detection with Deep Spatio-Temporal Convolutional Autoencoders.
J. Heal. Informatics Res.
Jacob Nogas, Shehroz S. Khan, Alex Mihailidis
2020 J jnl
FedSL: Federated Split Learning on Distributed Sequential Data in Recurrent Neural Networks.
CoRR
Ali Abedi, Shehroz S. Khan
2020 B conf
Motion and Region Aware Adversarial Learning for Fall Detection with Thermal Imaging.
ICPR
Vineet Mehta, Abhinav Dhall, Sujata Pal, Shehroz S. Khan
2020 J jnl
Motion and Region Aware Adversarial Learning for Fall Detection with Thermal Imaging.
CoRR
Vineet Mehta, Abhinav Dhall, Sujata Pal, Shehroz S. Khan
2020 J jnl
Spatiotemporal clustering: a review.
Artif. Intell. Rev.
Mohd Yousuf Ansari, Amir Ahmad, Shehroz S. Khan, Gopal Bhushan, Mainuddin
2019 J jnl
A Novel Initial Clusters Generation Method for K-means-based Clustering Algorithms for Mixed Datasets.
CoRR
Amir Ahmad, Shehroz S. Khan
2019 — conf
Agitation Detection in People Living with Dementia using Multimodal Sensors.
EMBC
Shehroz S. Khan, Sofija Spasojevic, Jacob Nogas, Bing Ye, Alex Mihailidis, Andrea Iaboni, Angel He Wang, Lori Schindel Martin, Kristine Newman
2019 J jnl
Bootstrapping and multiple imputation ensemble approaches for classification problems.
J. Intell. Fuzzy Syst.
Shehroz S. Khan, Amir Ahmad, Alex Mihailidis
2019 J jnl
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
Bing Ye, Shehroz S. Khan, Belkacem Chikhaoui, Andrea Iaboni, Lori Schindel Martin, Kristine Newman, Angel He Wang, Alex Mihailidis
2019 — conf
Diagnosis of Obstructive Sleep Apnea during Wakefulness Using Upper Airway Negative Pressure and Machine Learning.
EMBC
Jan Lim, Shehroz S. Khan, Aditya Pandya, Clodagh M. Ryan, Ahmed Haleem, Niveca Sivakulam, Hosna Sahak, Adnan Ul Haq, Kori Macarthur, Hisham Alshaer
2019 J jnl
Spatio-Temporal Adversarial Learning for Detecting Unseen Falls.
CoRR
Shehroz S. Khan, Jacob Nogas, Alex Mihailidis
2019 J jnl
Survey of State-of-the-Art Mixed Data Clustering Algorithms.
IEEE Access
Amir Ahmad, Shehroz S. Khan
2018 J jnl
A Survey of Mixed Data Clustering Algorithms.
CoRR
Amir Ahmad, Shehroz S. Khan
2018 J jnl
Bootstrapping and Multiple Imputation Ensemble Approaches for Missing Data.
CoRR
Shehroz S. Khan, Amir Ahmad, Alex Mihailidis
2018 J jnl
DeepFall - Non-invasive Fall Detection with Deep Spatio-Temporal Convolutional Autoencoders.
CoRR
Jacob Nogas, Shehroz S. Khan, Alex Mihailidis
2018 — conf
Infusing Domain Knowledge to Improve the Detection of Alzheimer's Disease from Everyday Motion Behaviour.
Canadian AI
Chao Bian, Shehroz S. Khan, Alex Mihailidis
2018 J jnl
Learning regression problems by using classifiers.
J. Intell. Fuzzy Syst.
Amir Ahmad, Shehroz S. Khan, Ajay Kumar
2018 J jnl
Learning to Unlearn: Building Immunity to Dataset Bias in Medical Imaging Studies.
CoRR
Ahmed Ashraf, Shehroz S. Khan, Nikhil Bhagwat, M. Mallar Chakravarty, Babak Taati
2018 J jnl
Relationship between Variants of One-Class Nearest Neighbors and Creating Their Accurate Ensembles.
IEEE Trans. Knowl. Data Eng.
Shehroz S. Khan, Amir Ahmad
2017 — conf
DAAD: A Framework for Detecting Agitation and Aggression in People Living with Dementia Using a Novel Multi-modal Sensor Network.
ICDM Workshops
Shehroz S. Khan, Tong Zhu, Bing Ye, Alex Mihailidis, Andrea Iaboni, Kristine Newman, Angel He Wang, Lori Schindel Martin
2017 J jnl
Detecting falls with X-Factor Hidden Markov Models.
Appl. Soft Comput.
Shehroz S. Khan, Michelle E. Karg, Dana Kulic, Jesse Hoey
2017 J jnl
Detecting unseen falls from wearable devices using channel-wise ensemble of autoencoders.
Expert Syst. Appl.
Shehroz S. Khan, Babak Taati
2016 — —
Classification and Decision-Theoretic Framework for Detecting and Reporting Unseen Falls.
Shehroz S. Khan
2016 J jnl
Detecting Unseen Falls from Wearable Devices using Channel-wise Ensemble of Autoencoders.
CoRR
Shehroz S. Khan, Babak Taati
2016 J jnl
Equivalence Among Different Variants of One-Class Nearest Neighbours and Creating Their Accurate Ensembles.
CoRR
Shehroz S. Khan, Amir Ahmad
2016 J jnl
Review of Fall Detection Techniques: A Data Availability Perspective.
CoRR
Shehroz S. Khan, Jesse Hoey
2015 J jnl
Detecting falls with X-Factor HMMs when the training data for falls is not available.
CoRR
Shehroz S. Khan, Michelle E. Karg, Dana Kulic, Jesse Hoey
2014 J jnl
One-class classification: taxonomy of study and review of techniques.
Knowl. Eng. Rev.
Shehroz S. Khan, Michael G. Madden
2014 J jnl
Relational approach to knowledge engineering for POMDP-based assistance systems as a translation of a psychological model.
Int. J. Approx. Reason.
Marek Grzes, Jesse Hoey, Shehroz S. Khan, Alex Mihailidis, Stephen Czarnuch, Daniel Jackson, Andrew Monk
2014 — conf
X-Factor HMMs for Detecting Falls in the Absence of Fall-Specific Training Data.
IWAAL
Shehroz S. Khan, Michelle E. Karg, Dana Kulic, Jesse Hoey
2013 — conf
A Probabilistic Framework for Detecting Unusual Events in Mobile Sensor Networks.
Canadian AI
Shehroz S. Khan
2013 J jnl
Cluster center initialization algorithm for K-modes clustering.
Expert Syst. Appl.
Shehroz S. Khan, Amir Ahmad
2013 J jnl
One-Class Classification: Taxonomy of Study and Review of Techniques.
CoRR
Shehroz S. Khan, Michael G. Madden
2012 — conf
Bayesian Multiple Imputation Approaches for One-Class Classification.
Canadian AI
Shehroz S. Khan, Jesse Hoey, Daniel J. Lizotte
2012 — conf
Cluster Center Initialization for Categorical Data Using Multiple Attribute Clustering.
MultiClust@SDM
Shehroz S. Khan, Amir Ahmad
2012 — conf
Evaluating Visual Aesthetics in Photographic Portraiture.
CAe@Expressive
Shehroz S. Khan, Daniel Vogel
2012 J jnl
Relational Approach to Knowledge Engineering for POMDP-based Assistance Systems as a Translation of a Psychological Model
CoRR
Marek Grzes, Jesse Hoey, Shehroz S. Khan, Alex Mihailidis, Stephen Czarnuch, Daniel Jackson, Andrew Monk
2012 Misc conf
Towards the detection of unusual temporal events during activities using HMMs.
UbiComp
Shehroz S. Khan, Michelle E. Karg, Jesse Hoey, Dana Kulic
2009 — conf
A Survey of Recent Trends in One Class Classification.
AICS
Shehroz S. Khan, Michael G. Madden
2007 A* conf
Computation of Initial Modes for K-modes Clustering Algorithm Using Evidence Accumulation.
IJCAI
Shehroz S. Khan, Shri Kant
2006 J jnl
Analyzing a class of pseudo-random bit generator through inductive machine learning paradigm.
Intell. Data Anal.
Shri Kant, Shehroz S. Khan
2004 J jnl
Cluster center initialization algorithm for K-means clustering.
Pattern Recognit. Lett.
Shehroz S. Khan, Amir Ahmad
2003 — conf
Generating K-Prototype Points for Unsupervised Learning.
IICAI
Amir Ahmad, Shehroz S. Khan