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ORCIDShehroz S. Khan
Person information
- affiliation: University Health Network, Toronto Rehabilitation Institute, ON, Canada
- affiliation (PhD 2016): University of Waterloo, David R. Cheriton School of Computer Science, Canada
- affiliation: National University of Ireland (NUI), College of Engineering and Informatics, Galway, Ireland
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2020 – today
- 2023
[j22]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: 14322-14339 (2023)- [j21]Ali Abedi, Shehroz S. Khan:
Detecting disengagement in virtual learning as an anomaly using temporal convolutional network autoencoder. Signal Image Video Process. 17(7): 3535-3543 (2023) - [c27]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: 265-272 - [c26]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: 288-295 - [i31]Pratik K. Mishra, Alex Mihailidis, Shehroz S. Khan:
Skeletal Video Anomaly Detection using Deep Learning: Survey, Challenges and Future Directions. CoRR abs/2301.00114 (2023) - [i30]Ali Abedi, Chinchu Thomas, Dinesh Babu Jayagopi, Shehroz S. Khan:
Bag of States: A Non-sequential Approach to Video-based Engagement Measurement. CoRR abs/2301.06730 (2023) - [i29]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 abs/2302.03224 (2023) - [i28]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 abs/2304.09735 (2023) - [i27]Zakary Georgis-Yap, Milos R. Popovic, Shehroz S. Khan:
Supervised and Unsupervised Deep Learning Approaches for EEG Seizure Prediction. CoRR abs/2304.14922 (2023) - [i26]Ali Abedi, Mobin Malmirian, Shehroz S. Khan:
Cross-Modal Video to Body-joints Augmentation for Rehabilitation Exercise Quality Assessment. CoRR abs/2306.09546 (2023) - 2022
- [j20]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: 10349-10358 (2022) - [j19]Stefan Denkovski, Shehroz S. Khan, Brandon Malamis, Sae Young Moon, Bing Ye, Alex Mihailidis:
Multi Visual Modality Fall Detection Dataset. IEEE Access 10: 106422-106435 (2022) - [j18]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): 1220 (2022) - [c25]Zakary Georgis-Yap, Milos R. Popovic, Shehroz S. Khan:
Preictal-Interictal Classification for Seizure Prediction. AI 2022 - [c24]Shehroz S. Khan, Ziting Shen, Haoying Sun, Ax Patel, Ali Abedi:
Supervised Contrastive Learning for Detecting Anomalous Driving Behaviours from Multimodal Videos. CRV 2022: 16-23 - [c23]Reza Basiri, Milos R. Popovic, Shehroz S. Khan:
Domain-Specific Deep Learning Feature Extractor for Diabetic Foot Ulcer Detection. ICDM (Workshops) 2022: 1-5 - [c22]Ali Abedi, Faranak Dayyani, Charlene Chu, Shehroz S. Khan:
MAISON - Multimodal AI-based Sensor platform for Older Individuals. ICDM (Workshops) 2022: 238-242 - [c21]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: 545-551 - [c20]Shehroz S. Khan, Ali Abedi:
Step Counting with Attention-based LSTM. SSCI 2022: 559-566 - [i25]Stefan Denkovski, Shehroz S. Khan, Brandon Malamis, Sae Young Moon, Bing Ye, Alex Mihailidis:
Multi Visual Modality Fall Detection Dataset. CoRR abs/2206.12740 (2022) - [i24]Shehroz S. Khan, Ali Abedi, Tracey Colella:
Inconsistencies in Measuring Student Engagement in Virtual Learning - A Critical Review. CoRR abs/2208.04548 (2022) - [i23]Ali Abedi, Faranak Dayyani, Charlene Chu, Shehroz S. Khan:
MAISON - Multimodal AI-based Sensor platform for Older Individuals. CoRR abs/2211.03615 (2022) - [i22]Ali Abedi, Shehroz S. Khan:
Detecting Disengagement in Virtual Learning as an Anomaly. CoRR abs/2211.06870 (2022) - [i21]Shehroz S. Khan, Ali Abedi:
Step Counting with Attention-based LSTM. CoRR abs/2211.13114 (2022) - [i20]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 abs/2212.10682 (2022) - 2021
- [j17]Amir Ahmad, Shehroz S. Khan:
initKmix-A novel initial partition generation algorithm for clustering mixed data using k-means-based clustering. Expert Syst. Appl. 167: 114149 (2021) - [j16]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): 342-358 (2021) - [j15]Shehroz S. Khan, Jacob Nogas, Alex Mihailidis:
Spatio-temporal adversarial learning for detecting unseen falls. Pattern Anal. Appl. 24(1): 381-391 (2021) - [c19]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 - [c18]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 - [c17]Ali Abedi, Shehroz S. Khan:
Improving state-of-the-art in Detecting Student Engagement with Resnet and TCN Hybrid Network. CRV 2021: 151-157 - [c16]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: 121-124 - [i19]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 abs/2104.09305 (2021) - [i18]Ali Abedi, Shehroz S. Khan:
Improving state-of-the-art in Detecting Student Engagement with Resnet and TCN Hybrid Network. CoRR abs/2104.10122 (2021) - [i17]Ali Abedi, Shehroz S. Khan:
Affect-driven Engagement Measurement from Videos. CoRR abs/2106.10882 (2021) - [i16]Shehroz S. Khan, Ziting Shen, Haoying Sun, Ax Patel, Ali Abedi:
Modified Supervised Contrastive Learning for Detecting Anomalous Driving Behaviours. CoRR abs/2109.04021 (2021) - 2020
- [j14]Mohd Yousuf Ansari, Amir Ahmad, Shehroz S. Khan, Gopal Bhushan, Mainuddin:
Spatiotemporal clustering: a review. Artif. Intell. Rev. 53(4): 2381-2423 (2020) - [j13]Jacob Nogas, Shehroz S. Khan, Alex Mihailidis:
DeepFall: Non-Invasive Fall Detection with Deep Spatio-Temporal Convolutional Autoencoders. J. Heal. Informatics Res. 4(1): 50-70 (2020) - [c15]Vineet Mehta, Abhinav Dhall, Sujata Pal, Shehroz S. Khan:
Motion and Region Aware Adversarial Learning for Fall Detection with Thermal Imaging. ICPR 2020: 6321-6328 - [i15]Vineet Mehta, Abhinav Dhall, Sujata Pal, Shehroz S. Khan:
Motion and Region Aware Adversarial Learning for Fall Detection with Thermal Imaging. CoRR abs/2004.08352 (2020) - [i14]Faraz Khoshbakhtian, Ahmed Bilal Ashraf, Shehroz S. Khan:
COVIDomaly: A Deep Convolutional Autoencoder Approach for Detecting Early Cases of COVID-19. CoRR abs/2010.02814 (2020) - [i13]Ali Abedi, Shehroz S. Khan:
FedSL: Federated Split Learning on Distributed Sequential Data in Recurrent Neural Networks. CoRR abs/2011.03180 (2020)
2010 – 2019
- 2019
- [j12]Amir Ahmad, Shehroz S. Khan:
Survey of State-of-the-Art Mixed Data Clustering Algorithms. IEEE Access 7: 31883-31902 (2019) - [j11]Shehroz S. Khan, Amir Ahmad, Alex Mihailidis:
Bootstrapping and multiple imputation ensemble approaches for classification problems. J. Intell. Fuzzy Syst. 37(6): 7769-7783 (2019) - [j10]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): 1447-1466 (2019) - [c14]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: 1605-1608 - [c13]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: 3588-3591 - [i12]Amir Ahmad, Shehroz S. Khan:
A Novel Initial Clusters Generation Method for K-means-based Clustering Algorithms for Mixed Datasets. CoRR abs/1902.00127 (2019) - [i11]Shehroz S. Khan, Jacob Nogas, Alex Mihailidis:
Spatio-Temporal Adversarial Learning for Detecting Unseen Falls. CoRR abs/1905.07817 (2019) - 2018
- [j9]Amir Ahmad, Shehroz S. Khan, Ajay Kumar:
Learning regression problems by using classifiers. J. Intell. Fuzzy Syst. 35(1): 945-955 (2018) - [j8]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): 1796-1809 (2018) - [c12]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: 181-193 - [i10]Shehroz S. Khan, Amir Ahmad, Alex Mihailidis:
Bootstrapping and Multiple Imputation Ensemble Approaches for Missing Data. CoRR abs/1802.00154 (2018) - [i9]Jacob Nogas, Shehroz S. Khan, Alex Mihailidis:
DeepFall - Non-invasive Fall Detection with Deep Spatio-Temporal Convolutional Autoencoders. CoRR abs/1809.00977 (2018) - [i8]Amir Ahmad, Shehroz S. Khan:
A Survey of Mixed Data Clustering Algorithms. CoRR abs/1811.04364 (2018) - [i7]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 abs/1812.01716 (2018) - 2017
- [j7]Shehroz S. Khan, Michelle E. Karg, Dana Kulic, Jesse Hoey:
Detecting falls with X-Factor Hidden Markov Models. Appl. Soft Comput. 55: 168-177 (2017) - [j6]Shehroz S. Khan, Babak Taati:
Detecting unseen falls from wearable devices using channel-wise ensemble of autoencoders. Expert Syst. Appl. 87: 280-290 (2017) - [c11]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: 703-710 - 2016
- [b1]Shehroz S. Khan:
Classification and Decision-Theoretic Framework for Detecting and Reporting Unseen Falls. University of Waterloo, Ontario, Canada, 2016 - [c10]Shehroz S. Khan, Jesse Hoey:
dtFall: decision-theoretic framework to report unseen falls. PervasiveHealth 2016: 146-153 - [i6]Shehroz S. Khan, Amir Ahmad:
Equivalence Among Different Variants of One-Class Nearest Neighbours and Creating Their Accurate Ensembles. CoRR abs/1604.01686 (2016) - [i5]Shehroz S. Khan, Jesse Hoey:
Review of Fall Detection Techniques: A Data Availability Perspective. CoRR abs/1605.09351 (2016) - [i4]Shehroz S. Khan, Babak Taati:
Detecting Unseen Falls from Wearable Devices using Channel-wise Ensemble of Autoencoders. CoRR abs/1610.03761 (2016) - 2015
- [i3]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 abs/1504.02141 (2015) - 2014
- [j5]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): 36-58 (2014) - [j4]Shehroz S. Khan, Michael G. Madden:
One-class classification: taxonomy of study and review of techniques. Knowl. Eng. Rev. 29(3): 345-374 (2014) - [c9]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: 1-9 - 2013
- [j3]Shehroz S. Khan, Amir Ahmad:
Cluster center initialization algorithm for K-modes clustering. Expert Syst. Appl. 40(18): 7444-7456 (2013) - [c8]Shehroz S. Khan:
A Probabilistic Framework for Detecting Unusual Events in Mobile Sensor Networks. Canadian Conference on AI 2013: 340-345 - [i2]Shehroz S. Khan, Michael G. Madden:
One-Class Classification: Taxonomy of Study and Review of Techniques. CoRR abs/1312.0049 (2013) - 2012
- [c7]Shehroz S. Khan, Jesse Hoey, Daniel J. Lizotte:
Bayesian Multiple Imputation Approaches for One-Class Classification. Canadian Conference on AI 2012: 331-336 - [c6]Shehroz S. Khan, Daniel Vogel:
Evaluating Visual Aesthetics in Photographic Portraiture. CAe@Expressive 2012: 55-62 - [c5]Shehroz S. Khan, Michelle E. Karg, Jesse Hoey, Dana Kulic:
Towards the detection of unusual temporal events during activities using HMMs. UbiComp 2012: 1075-1084 - [c4]Shehroz S. Khan, Amir Ahmad:
Cluster Center Initialization for Categorical Data Using Multiple Attribute Clustering. MultiClust@SDM 2012: 3-10 - [i1]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 abs/1206.5698 (2012)
2000 – 2009
- 2009
- [c3]Shehroz S. Khan, Michael G. Madden:
A Survey of Recent Trends in One Class Classification. AICS 2009: 188-197 - 2007
- [c2]Shehroz S. Khan, Shri Kant:
Computation of Initial Modes for K-modes Clustering Algorithm Using Evidence Accumulation. IJCAI 2007: 2784-2789 - 2006
- [j2]Shri Kant, Shehroz S. Khan:
Analyzing a class of pseudo-random bit generator through inductive machine learning paradigm. Intell. Data Anal. 10(6): 539-554 (2006) - 2004
- [j1]Shehroz S. Khan, Amir Ahmad:
Cluster center initialization algorithm for K-means clustering. Pattern Recognit. Lett. 25(11): 1293-1302 (2004) - 2003
- [c1]Amir Ahmad, Shehroz S. Khan:
Generating K-Prototype Points for Unsupervised Learning. IICAI 2003: 1320-1327
Coauthor Index
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last updated on 2023-09-28 02:40 CEST by the dblp team
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