Publications (37)

  1. DeepFall - Non-invasive Fall Detection with Deep Spatio-Temporal Convolutional Autoencoders, Jacob Nogas, Alex Mihailidis, Shehroz S. Khan, Journal of Health Informatic Research, 2019 (Online Published) [Code]
  2. Bootstrapping and Multiple Imputation Ensemble Approaches for Missing Data, Shehroz S. Khan, Amir Ahmad, Alex Mihailidis, Journal of Intelligent & Fuzzy Systems, vol. 37, no. 6, pp. 7769-7783, 2019 (impact factor: 1.637) [PDF][Code]
  3. Spatiotemporal Clustering : A Review, Mohd Yousuf Ansari, Amir Amhad, Shehroz S. Khan, Gopal Bhushan and Mainuddin, Artificial Intelligence Review, pages 1-43, 2019 (impact factor: 5.095)
  4. Survey of state-of-the-art mixed data clustering algorithms, Amir Ahmad, Shehroz S. Khan, IEEE Access 7, 2019 (impact factor: 4.098)
  5. 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 Wang, and Alex Mihailidis, Science and Engineering Ethics, pages 1-20, 2019 (impact factor: 2.275)
  6. Relationship between Variants of One-Class Nearest Neighbours and Creating their Accurate Ensembles, Shehroz S. Khan, and Amir Ahmad, IEEE Transactions on Knowledge and Data Engineering, Volume 30, Issue 9, pages 1796-1809, 2018 (impact factor: 3.857)[PDF][Code]
  7. Detecting Agitation and Aggression in People with Dementia using Sensors - A Systematic Review, Shehroz S. Khan, Bing Ye, Babak Taati, and Alex Mihailidis, Alzheimer's & Dementia, Volume 14, Issue 6, pages 824-832, 2018 (impact factor: 14.423) [PDF]
  8. Detecting Unseen Falls from Wearable Devices using Channel-wise Ensemble of Autoencoders, Shehroz S. Khan, Babak Taati, Expert Systems With Applications, Volume 87, pages 280-290, 2017 (impact factor: 4.292) [PDF] -- Won the Best Research Paper Award at the Toronto Rehabilitation Research Day, 2018.
  9. Detecting Falls with X-Factor Hidden Markov Models, Shehroz S. Khan, Michelle E. Karg, Dana Kulic and Jesse Hoey, Applied Soft Computing, Volume 55, pages 168-177, 2017 (impact factor: 4.873) [PDF]
  10. Review of Fall Detection Techniques: A Data Availability Perspective, Shehroz S. Khan and Jesse Hoey, Medical Engineering and Physics, Volume 39, pages 12-22, 2017. Google Scholar citation [98] (impact factor: 1.785) [PDF]
  11. One-Class Classification: Taxonomy of Study and Review of Techniques, Shehroz S. Khan and Michael G. Madden, The Knowledge Engineering Review, Volume 29, Issue 03, pages 345-374, © Cambridge University Press 2014. Google Scholar citation [250] (impact factor: 0.814) [PDF]
  12. Cluster Center Initialization Algorithm for K-modes Clustering, Shehroz S. Khan and Amir Ahmad, Expert Systems With Applications, Volume 40, Issue 18, pages 7444-7456, 2013. Google Scholar citation [80] (impact factor: 4.292)[PDF][Code]
  13. New Similarity Metrics for Raman Spectroscopy, Shehroz S. Khan and Michael G. Madden, Chemometrics and Intelligent Laboratory Systems, Volume 114, pages 99-108, 2012 (impact factor: 2.786)[PDF]
  14. Analyzing a Class of Pseudo-Random Bit Generator through Inductive Machine Learning Paradigm, Shri Kant and Shehroz S. Khan, Intelligent Data Analysis, Volume 10, 6, pages 539-554, 2006 (impact factor:0.612) [PDF]
  15. Cluster Center Initialization Algorithm for K-mean Clustering, Shehroz S. Khan and Amir Ahmad, Pattern Recognition Letters, Volume 25, No. 11, pages 1293-1302, 2004, Featured in Science Direct in TOP25 Hottest Articles for the period of Apr-June'08, Oct-Dec'07 and July-Sept'04. Google Scholar citations [689] (impact factor:2.810)[PDF][Code]
  1. Agitation Detection in People Living with Dementia using Multimodal Sensors, Shehroz S. Khan, Sofija Spasojevic, Jacob Nogas, Bing Ye, Alex Mihailidis, Andrea Iaboni, Angel Wang, Lori Schindel Martin and Kristine Newman, 41st Engineering in Medicine and Biology Conference, Berlin, 2019
  2. 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, and Hisham Alshaer, 41st Engineering in Medicine and Biology Conference, Berlin, 2019.
  3. Infusing Domain Knowledge to Improve the Detection of Alzheimer's Disease from Everyday Motion Behaviour, Chao Bian, Shehroz S. Khan, and Alex Mihailidis, 31st Canadian Artificial Intelligence Conference, Toronto, 2018 [PDF]
  4. dtFall – Decision Theoretic Framework to Report Unseen Falls , Shehroz S. Khan and Jesse Hoey, 10th EAI International Conference on Pervasive Computing Technologies for Healthcare, Mexico, 2016 [PDF]
  5. X-Factor HMMs for detecting falls in the absence of fall-specific training data, Shehroz S. Khan, Michelle E. Karg, Dana Kulic and Jesse Hoey, 6th International Work-conference on Ambient Assisted Living (IWAAL 2014), Belfast, LNCS, volume 8868, pp 1-9, Springer International Publishing Switzerland, 2014 [PDF]
  6. Evaluating Visual Aesthetics in Photographic Portraiture, Shehroz S. Khan and Daniel Vogel - EXPRESSIVE: 8th International Symposium on Computational Aesthetics in Graphics, Visualization, and Imaging (CAe), Annecy, France, 2012, Google Scholar citations [57] [PDF][Code]
  7. Bayesian Multiple Imputation Approaches for One-Class Classification, Shehroz S. Khan, Jesse Hoey and Daniel Lizotte, 25th Canadian Conference on AI, Toronto, LNAI, volume 7310, pp 331-336. Springer, Heidelberg, 2012 [PDF]
  8. A Survey of Recent Trends in One Class Classification, Shehroz S. Khan and Michael G. Madden, Proceedings of the 20th Irish Conference on Artificial Intelligence and Cognitive Science, Dublin, in the LNAI, volume 6206, pp 181-190, Springer-Verlag, 2009, Google Scholar citations [298] [PDF]
  9. Two Level Anomaly Detection Classifier, Azeem Khan and Shehroz S. Khan, The 2008 International Conference On Computer and Electrical Engineering (ICCEE 2008), pp 65-69, Phuket, Thailand, 2008 [PDF]
  10. Application of Decision Trees for Portfolio Diversification in Indian Share Market, Shehroz S. Khan and Amir Ahmad, 1st International Conference on Information Systems, Technology and Management, (ICISTM'07), India, 2007 [PDF]
  11. Computation of Initial Modes for K-Modes Clustering Algorithm Using Evidence Accumulation, Shehroz S. Khan and Shri Kant, 20th International Joint Conference on Artificial Intelligence (IJCAI-07), pp 2784-2789, Hyderabad, India, 2007, Google Scholat citations [58]
  12. Classificatory Prediction and Primitive Polynomial Construction of Linear Feedback Shift Registers Using Decision Tree Approach, Shehroz S. Khan, 5th International Conference on Knowledge Based Computer Systems, India, 2004 [PDF]
  13. Generating K-prototype Points for Unsupervised Learning, Amir Ahmad and Shehroz. S. Khan, 1st Indian International Conference on Artificial Intelligence, Hyderabad, India, 2003 [PDF]
  14. Computing Initial points using Density Based Multiscale Data Condensation for Clustering Categorical data, Shehroz S. Khan and Amir Ahmad, 2nd International Conference on Applied Artificial Intelligence, ICAAI'03, Kolhapur, India, 2003 [PDF]
  1. Hand movement assessment in stroke using wearable armband sensor, Sofija Spasojevic, José Santos-Victor, Shehroz Khan and Alex Mihailidis, 3rd Workshop on AI for Aging, Rehabilitation and Independent Assisted Living at IJCAI, China, 2019
  2. Learning to Unlearn: Building Immunity to Dataset Bias in Medical Imaging Studies, Ahmed Ashraf, Shehroz S Khan, Nikhil Bhagwat, Mallar Chakravarty, Babak Taati, Machine Learning for Health Workshop, NeurIPS, Canada, 2018
  3. Fall Detection from Thermal Camera Using Convolutional LSTM Autoencoder, Jacob Nogas, Shehroz S. Khan, Alex Mihailidis, 2nd Workshop on AI for Aging, Rehabilitation and Independent Assisted Living at IJCAI, Federated Artificial Intelligence Meeting, Sweden, 2018 [PDF].
  4. 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, 1st Workshop on Data Mining for Aging, Rehabilitation, and Independent Assistive Living, in conjunction with IEEE International Conference on Data Mining, New Orleans, USA, 2017 [PDF].
  5. A Probabilistic Framework for Detecting Unusual Events in Mobile Sensor Networks, Shehroz S. Khan, Graduate Student Symposium, 26th Canadian Conference on AI, Regina, LNCS volume 7884, pp 340-345, Springer, Heidelberg, 2013.
  6. Towards the Detection of Unusual Temporal Events during Activities Using HMMs, Shehroz S. Khan, Michelle E. Karg, Jesse Hoey and Dana Kulic, SAGAWARE: 2nd International Workshop on Situation, Activity and Goal Awareness, UbiComp, Pittsburgh, USA, 2012 [PDF]
  7. Cluster Center Initialization for Categorical Data Using Multiple Attribute Clustering, Shehroz S. Khan and Amir Ahmad, 3rd MultiClust Workshop: Discovering, Summarizing and Using Multiple Clusterings, SIAM International Conference on Data Mining (SDM'12), Anaheim, California, USA, 2012 [PDF]
  8. Relational Approach to Knowledge Engineering for POMDP-based Assistance Systems with Encoding of a Psychological Model Marek Grzes, Jesse Hoey, Shehroz Khan, Alex Mihailidis, Stephen Czarnuch, Dan Jackson and Andrew Monk, in Proc. ICAPS workshop on Knowledge Engineering for Planning and Scheduling, Freiburg, Germany, 2011
  1. LuDo: An Intervention System to Deter Persons With Mild Dementia From Inactivity and Restlessness, Shehroz Khan, Noelannah Neubauer, Julija Jeremic, Tricia Jose, Victor F. Cervantes, Maxime Lussier, 21st IAGG World Congress of Gerontology and Geriatrics, July 23-27, San Francisco, California, USA, 2017 [Video]
  2. Kernel-Based One-Class Nearest Neighbor Approach for Identification of Chlorinated Solvents, Shehroz S. Khan and Michael G. Madden, Pittsburgh Conference (PITTCON-2010), Orlando, USA, 2010
  3. Statistical Feature Extraction to Discriminate Various Languages: Plain and Crypt, Neelam Verma, Shehroz S. Khan, Shri Kant, Proceedings of the National Conference on Information Security (NCIS), pp. 1-10, Delhi, Jan, 2003 [PDF]